content stringlengths 7 1.05M | fixed_cases stringlengths 1 1.28M |
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# Python - 3.6.0
def tickets(people):
moneys = {k: 0 for k in [25, 50, 100]}
for cost in people:
if cost == 50:
if moneys[25] < 1:
return 'NO'
moneys[25] -= 1
elif cost == 100:
if moneys[50] >= 1:
if moneys[25] < 1:
return 'NO'
moneys[50] -= 1
moneys[25] -= 1
else:
if moneys[25] < 3:
return 'NO'
moneys[25] -= 3
moneys[cost] += 1
return 'YES'
| def tickets(people):
moneys = {k: 0 for k in [25, 50, 100]}
for cost in people:
if cost == 50:
if moneys[25] < 1:
return 'NO'
moneys[25] -= 1
elif cost == 100:
if moneys[50] >= 1:
if moneys[25] < 1:
return 'NO'
moneys[50] -= 1
moneys[25] -= 1
else:
if moneys[25] < 3:
return 'NO'
moneys[25] -= 3
moneys[cost] += 1
return 'YES' |
LANGS = ["hi,my,fa,tk,vi,zh,ka,zh_yue,hy,ru", "hi,my,fa,vi,zh,tk,zh_yue,ru,bxr,cdo", "hi,my,fa,vi,tk,jv,zh_yue,id,zh,am", "is,en,se,et,fi,fr,kv,cs,de,eu", "et,lv,fi,en,se,cs,de,fr,is,hu", "cs,en,de,fr,lv,et,hu,fi,la,eu", "lv,et,cs,hu,de,el,fi,myv,mhr,tr", "hu,el,cs,de,lv,tr,la,et,xmf,myv", "el,hu,tr,la,cs,de,xmf,lv,hy,ka"]
my_str = ''
counter = 0
for langs in LANGS:
print(counter)
counter += 1
assert len(langs.split(',')) == 10
adapter_names = [f'{lang}/wiki@ukp' for lang in langs.split(',')]
adapter_names = ','.join(adapter_names)
if len(my_str) == 0:
my_str = f'"{adapter_names}"'
else:
my_str = my_str + f' "{adapter_names}"'
print(my_str) | langs = ['hi,my,fa,tk,vi,zh,ka,zh_yue,hy,ru', 'hi,my,fa,vi,zh,tk,zh_yue,ru,bxr,cdo', 'hi,my,fa,vi,tk,jv,zh_yue,id,zh,am', 'is,en,se,et,fi,fr,kv,cs,de,eu', 'et,lv,fi,en,se,cs,de,fr,is,hu', 'cs,en,de,fr,lv,et,hu,fi,la,eu', 'lv,et,cs,hu,de,el,fi,myv,mhr,tr', 'hu,el,cs,de,lv,tr,la,et,xmf,myv', 'el,hu,tr,la,cs,de,xmf,lv,hy,ka']
my_str = ''
counter = 0
for langs in LANGS:
print(counter)
counter += 1
assert len(langs.split(',')) == 10
adapter_names = [f'{lang}/wiki@ukp' for lang in langs.split(',')]
adapter_names = ','.join(adapter_names)
if len(my_str) == 0:
my_str = f'"{adapter_names}"'
else:
my_str = my_str + f' "{adapter_names}"'
print(my_str) |
a = [-11, -2, -4, -10, -9, 4, -5, -18, -16, 5, -6, -19, 0, -7, 11, -17, 11, 9, -7, -11, 19, -16, -11, -4, 19,
-6, -6, -15, 1, 11, -1, -16, 12, 0, -15, -13, 11, -19, -15, -18, -20, 7, -8, 17, -4, 16, 6, -5, -3, -8, 17, -2, 2, 1, -2, 19, -6, 13, -7, -8, 9, -13, 4, -19, -4, 20, 20, -10, 9, 13, 18, 15, -15, -16, 20, 15, 19,
-13, 6, 17, -9, -6, -3, -1, 19, 5, 2, -14, -20, 15, 20, -7, -13, 16, -16, 16, -4, 1, -20, -11]
k = []
for i in range(len(a) - 1):
for j in range(i + 1, len(a)):
s = a[i] + a[j]
if s == 7:
k.append((a[i], a[j]))
k1 = list(set(k))
print(len(k1))
print(k1)
q = 0
for i in range(len(k1) - 1):
for j in range(i + 1, len(k1)):
if k1[i][0] == k1[j][1]:
q += 1
print(k1[i], k1[j])
print(q)
| a = [-11, -2, -4, -10, -9, 4, -5, -18, -16, 5, -6, -19, 0, -7, 11, -17, 11, 9, -7, -11, 19, -16, -11, -4, 19, -6, -6, -15, 1, 11, -1, -16, 12, 0, -15, -13, 11, -19, -15, -18, -20, 7, -8, 17, -4, 16, 6, -5, -3, -8, 17, -2, 2, 1, -2, 19, -6, 13, -7, -8, 9, -13, 4, -19, -4, 20, 20, -10, 9, 13, 18, 15, -15, -16, 20, 15, 19, -13, 6, 17, -9, -6, -3, -1, 19, 5, 2, -14, -20, 15, 20, -7, -13, 16, -16, 16, -4, 1, -20, -11]
k = []
for i in range(len(a) - 1):
for j in range(i + 1, len(a)):
s = a[i] + a[j]
if s == 7:
k.append((a[i], a[j]))
k1 = list(set(k))
print(len(k1))
print(k1)
q = 0
for i in range(len(k1) - 1):
for j in range(i + 1, len(k1)):
if k1[i][0] == k1[j][1]:
q += 1
print(k1[i], k1[j])
print(q) |
BASE_STATS = {
1: {
"Monster": {"HP": 7, "Attack": 5, "Defence": 5, "Scaling": 0.05},
"Player": {"HP": 5, "Attack": 2, "Defence": 2},
},
30: {
"Monster": {"HP": 15, "Attack": 10, "Defence": 10, "Scaling": 0.1},
"Player": {"HP": 9, "Attack": 6, "Defence": 5},
},
60: {
"Monster": {"HP": 37, "Attack": 20, "Defence": 20, "Scaling": 0.2},
"Player": {"HP": 13, "Attack": 10, "Defence": 8},
},
90: {
"Monster": {"HP": 103, "Attack": 40, "Defence": 40, "Scaling": 0.4},
"Player": {"HP": 17, "Attack": 14, "Defence": 11},
},
}
LEVELS = [1, 30, 60, 90]
| base_stats = {1: {'Monster': {'HP': 7, 'Attack': 5, 'Defence': 5, 'Scaling': 0.05}, 'Player': {'HP': 5, 'Attack': 2, 'Defence': 2}}, 30: {'Monster': {'HP': 15, 'Attack': 10, 'Defence': 10, 'Scaling': 0.1}, 'Player': {'HP': 9, 'Attack': 6, 'Defence': 5}}, 60: {'Monster': {'HP': 37, 'Attack': 20, 'Defence': 20, 'Scaling': 0.2}, 'Player': {'HP': 13, 'Attack': 10, 'Defence': 8}}, 90: {'Monster': {'HP': 103, 'Attack': 40, 'Defence': 40, 'Scaling': 0.4}, 'Player': {'HP': 17, 'Attack': 14, 'Defence': 11}}}
levels = [1, 30, 60, 90] |
# Sum vs XOR
# https://www.hackerrank.com/challenges/sum-vs-xor/problem
def sumXor(n):
if n == 0:
return 1
return 1 << f'{n:b}'.count('0')
n = int(input().strip())
result = sumXor(n)
print (result) | def sum_xor(n):
if n == 0:
return 1
return 1 << f'{n:b}'.count('0')
n = int(input().strip())
result = sum_xor(n)
print(result) |
##################################################################
# Mocked returns for patched functions that access web resources #
##################################################################
GET_POLICE_STATION_API_MOCK = {
"displayFieldName": "NAME",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"FACILITYID": "Facility Identifier",
"NAME": "Name of Facility",
"OWNER": "Owner Name",
"OWNTYPE": "Owner Type",
"SUBTYPEFIELD": "Subtype Field",
"FEATURECODE": "Feature Code",
"FULLADDR": "Full Address",
"AGENCYURL": "Website",
"OPERDAYS": "Operational Days",
"OPERHOURS": "Operational Hours",
"CONTACT": "Contact Name",
"PHONE": "Phone",
"EMAIL": "Email"
},
"features": [
{
"attributes": {
"OBJECTID": 1,
"FACILITYID": None,
"NAME": "Brookline Public Safety HQ",
"OWNER": "Town of Brookline",
"OWNTYPE": None,
"SUBTYPEFIELD": None,
"FEATURECODE": None,
"FULLADDR": "350 Washington St, Brookline, MA 02445",
"AGENCYURL": "http://www.brooklinepolice.com/",
"OPERDAYS": "Other",
"OPERHOURS": "Other",
"CONTACT": None,
"PHONE": "617-730-2222",
"EMAIL": None
},
"geometry": {
"x": -71.121409303637222,
"y": 42.333789044263746
}
}
]
}
NO_RESULTS_GET_POLICE_STATION_API_MOCK = {
"displayFieldName": "NAME",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"FACILITYID": "Facility Identifier",
"NAME": "Name of Facility",
"OWNER": "Owner Name",
"OWNTYPE": "Owner Type",
"SUBTYPEFIELD": "Subtype Field",
"FEATURECODE": "Feature Code",
"FULLADDR": "Full Address",
"AGENCYURL": "Website",
"OPERDAYS": "Operational Days",
"OPERHOURS": "Operational Hours",
"CONTACT": "Contact Name",
"PHONE": "Phone",
"EMAIL": "Email"
},
"features": []
}
GEOCODE_MOCK = {
"spatialReference": {
"wkid": 4326,
"latestWkid": 4326
},
"x": -71.120614336337198,
"y": 42.334020535512529,
"z": 0
}
LOCATION_MOCK = {
"x": -71.120614336337198,
"y": 42.334020535512529,
"z": 0
}
SPACIAL_REFERENCE_MOCK = {
"wkid": 4326,
"latestWkid": 4326
}
ADDRESS_CANDIDATE_MOCK = {
"address": "333 WASHINGTON ST",
"location": {
"x": -71.120614336337198,
"y": 42.334020535512529,
"z": 0
},
"score": 100,
"attributes": {
"Loc_name": "Building",
"Score": 100,
"Match_addr": "333 WASHINGTON ST"
}
}
GET_ADDRESS_CANDIDATES_API_MOCK = {
"spatialReference": {
"wkid": 4326,
"latestWkid": 4326
},
"candidates": [
{
"address": "333 WASHINGTON ST",
"location": {
"x": -71.120614336337198,
"y": 42.334020535512529,
"z": 0
},
"score": 100,
"attributes": {
"Loc_name": "Building",
"Score": 100,
"Match_addr": "333 WASHINGTON ST"
}
}
]
}
GEOCODE_ADDRESS_MOCK = {
'geometry':{'x':-7917110.640673582,'y':5211147.471469648}}
GET_TRASH_PICKUP_API_MOCK = {
"displayFieldName": "DISTRICTID",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"DISTRICTID": "District ID",
"NAME": "District Name",
"AGENCY": "Agency",
"AGENCYURL": "Website",
"CONTACT": "Contact Name",
"PHONE": "Phone",
"EMAIL": "Email",
"SUBTYPEFIELD": "Subtype Field",
"SCHEDULE": "Schedule",
"DESCRIPT": "Additional Information",
"MONDAY": "Monday",
"TUESDAY": "Tuesday",
"WEDNESDAY": "Wednesday",
"THURSDAY": "Thursday",
"FRIDAY": "Friday",
"SATURDAY": "Saturday",
"SUNDAY": "Sunday",
"GlobalID": "GlobalID"
},
"features": [
{
"attributes": {
"OBJECTID": 2,
"DISTRICTID": "1",
"NAME": "Wednesday Trash",
"AGENCY": "Town of Brookline",
"AGENCYURL": "http://ma-brookline.civicplus.com/820/Trash-Recycling-Information",
"CONTACT": "Brookline Public Works",
"PHONE": "null",
"EMAIL": "null",
"SUBTYPEFIELD": 0,
"SCHEDULE": "Weekly",
"DESCRIPT": "http://ma-brookline.civicplus.com/834/Holiday-Schedule-Christmas-Tree-Pick-Up",
"MONDAY": "No",
"TUESDAY": "No",
"WEDNESDAY": "Yes",
"THURSDAY": "No",
"FRIDAY": "No",
"SATURDAY": "No",
"SUNDAY": "No",
"GlobalID": "{20538BBF-EB83-4CCD-B1E8-93EF36554413}"
},
"geometry": {
"x": -71.121409303637222,
"y": 42.333789044263746
}
}
]
}
NO_RESPONSE_TRASH_PICKUP_API_MOCK = {
"displayFieldName": "DISTRICTID",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"DISTRICTID": "District ID",
"NAME": "District Name",
"AGENCY": "Agency",
"AGENCYURL": "Website",
"CONTACT": "Contact Name",
"PHONE": "Phone",
"EMAIL": "Email",
"SUBTYPEFIELD": "Subtype Field",
"SCHEDULE": "Schedule",
"DESCRIPT": "Additional Information",
"MONDAY": "Monday",
"TUESDAY": "Tuesday",
"WEDNESDAY": "Wednesday",
"THURSDAY": "Thursday",
"FRIDAY": "Friday",
"SATURDAY": "Saturday",
"SUNDAY": "Sunday",
"GlobalID": "GlobalID"
},
"features": []
}
NO_RESPONSE_VOTING_PRECINCT_API_MOCK = {
"displayFieldName": "NAME",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"PRECINCTID": "Precinct ID",
"NAME": "Precinct Name",
"COUNTY": "County",
"LASTUPDATE": "Last Update Date",
"LASTEDITOR": "Last Editor",
"SHAPE_Length": "SHAPE_Length",
"SHAPE_Area": "SHAPE_Area",
"STR_NUM": "STR_NUM",
"STREET": "STREET",
"ADDRESS": "ADDRESS",
"LOC_DESC": "LOC_DESC"
},
"geometryType": "esriGeometryPolygon",
"spatialReference": {
"wkid": 102100,
"latestWkid": 3857
},
"fields": [
{
"name": "OBJECTID",
"type": "esriFieldTypeOID",
"alias": "OBJECTID"
},
{
"name": "PRECINCTID",
"type": "esriFieldTypeString",
"alias": "Precinct ID",
"length": 10
},
{
"name": "NAME",
"type": "esriFieldTypeString",
"alias": "Precinct Name",
"length": 50
},
{
"name": "COUNTY",
"type": "esriFieldTypeString",
"alias": "County",
"length": 50
},
{
"name": "LASTUPDATE",
"type": "esriFieldTypeDate",
"alias": "Last Update Date",
"length": 8
},
{
"name": "LASTEDITOR",
"type": "esriFieldTypeString",
"alias": "Last Editor",
"length": 50
},
{
"name": "SHAPE_Length",
"type": "esriFieldTypeDouble",
"alias": "SHAPE_Length"
},
{
"name": "SHAPE_Area",
"type": "esriFieldTypeDouble",
"alias": "SHAPE_Area"
},
{
"name": "STR_NUM",
"type": "esriFieldTypeString",
"alias": "STR_NUM",
"length": 8
},
{
"name": "STREET",
"type": "esriFieldTypeString",
"alias": "STREET",
"length": 32
},
{
"name": "ADDRESS",
"type": "esriFieldTypeString",
"alias": "ADDRESS",
"length": 64
},
{
"name": "LOC_DESC",
"type": "esriFieldTypeString",
"alias": "LOC_DESC",
"length": 128
}
],
"features": [
]
}
GET_VOTING_PRECINCT_API_MOCK = {
"displayFieldName": "NAME",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"PRECINCTID": "Precinct ID",
"NAME": "Precinct Name",
"COUNTY": "County",
"LASTUPDATE": "Last Update Date",
"LASTEDITOR": "Last Editor",
"SHAPE_Length": "SHAPE_Length",
"SHAPE_Area": "SHAPE_Area",
"STR_NUM": "STR_NUM",
"STREET": "STREET",
"ADDRESS": "ADDRESS",
"LOC_DESC": "LOC_DESC"
},
"geometryType": "esriGeometryPolygon",
"spatialReference": {
"wkid": 102100,
"latestWkid": 3857
},
"fields": [
{
"name": "OBJECTID",
"type": "esriFieldTypeOID",
"alias": "OBJECTID"
},
{
"name": "PRECINCTID",
"type": "esriFieldTypeString",
"alias": "Precinct ID",
"length": 10
},
{
"name": "NAME",
"type": "esriFieldTypeString",
"alias": "Precinct Name",
"length": 50
},
{
"name": "COUNTY",
"type": "esriFieldTypeString",
"alias": "County",
"length": 50
},
{
"name": "LASTUPDATE",
"type": "esriFieldTypeDate",
"alias": "Last Update Date",
"length": 8
},
{
"name": "LASTEDITOR",
"type": "esriFieldTypeString",
"alias": "Last Editor",
"length": 50
},
{
"name": "SHAPE_Length",
"type": "esriFieldTypeDouble",
"alias": "SHAPE_Length"
},
{
"name": "SHAPE_Area",
"type": "esriFieldTypeDouble",
"alias": "SHAPE_Area"
},
{
"name": "STR_NUM",
"type": "esriFieldTypeString",
"alias": "STR_NUM",
"length": 8
},
{
"name": "STREET",
"type": "esriFieldTypeString",
"alias": "STREET",
"length": 32
},
{
"name": "ADDRESS",
"type": "esriFieldTypeString",
"alias": "ADDRESS",
"length": 64
},
{
"name": "LOC_DESC",
"type": "esriFieldTypeString",
"alias": "LOC_DESC",
"length": 128
}
],
"features": [
{
"attributes": {
"OBJECTID": 19,
"PRECINCTID": "6",
"NAME": "Precinct 6 - Vote at 115 Greenough St",
"COUNTY": "Norfolk",
"LASTUPDATE": 'null',
"LASTEDITOR": 'null',
"SHAPE_Length": 15810.092868688193,
"SHAPE_Area": 7070142.9764727177,
"STR_NUM": "115",
"STREET": "GREENOUGH ST",
"ADDRESS": "115 GREENOUGH ST",
"LOC_DESC": "BHS Schluntz Gymnasium, 115 Greenough Street"
},
}
]
}
GET_LIBRARY_API_MOCK = {
"features": [
{
"attributes": {
"OBJECTID": 1,
"FACILITYID": "None",
"NAME": "Coolidge Corner Library",
"OWNER": "Town of Brookline",
"OWNTYPE": "None",
"SUBTYPEFIELD": "None",
"FEATURECODE": "None",
"FULLADDR": "31 Pleasant St, Brookline, MA 02446",
"AGENCYURL": "http://www.brooklinelibrary.org/",
"OPERDAYS": "Other",
"OPERHOURS": "Other",
"CONTACT": "None",
"PHONE": "617-730-2380",
"EMAIL": "http://www.brooklinelibrary.org/about/email"
},
"geometry": {
"x": -7916949.550832789,
"y": 5212579.537906414
}
},
{
"attributes": {
"OBJECTID": 2,
"FACILITYID": "None",
"NAME": "Main Library",
"OWNER": "Town of Brookline",
"OWNTYPE": "None",
"SUBTYPEFIELD": "None",
"FEATURECODE": "None",
"FULLADDR": "361 Washington St, Brookline, MA 02445",
"AGENCYURL": "http://www.brooklinelibrary.org/",
"OPERDAYS": "Other",
"OPERHOURS": "Other",
"CONTACT": "None",
"PHONE": "617-730-2370",
"EMAIL": "http://www.brooklinelibrary.org/about/email"
},
"geometry": {
"x": -7917194.260973867,
"y": 5211229.5272506215
}
},
{
"attributes": {
"OBJECTID": 3,
"FACILITYID": "None",
"NAME": "Putterham Branch Library",
"OWNER": "Town of Brookline",
"OWNTYPE": "None",
"SUBTYPEFIELD": "None",
"FEATURECODE": "None",
"FULLADDR": "959 W Roxbury Pky, Brookline, MA 02467",
"AGENCYURL": "http://www.brooklinelibrary.org/",
"OPERDAYS": "Other",
"OPERHOURS": "Other",
"CONTACT": "None",
"PHONE": "617-730-2385",
"EMAIL": "http://www.brooklinelibrary.org/about/email"
},
"geometry": {
"x": -7920391.679580264,
"y": 5206399.414108847
}
}
]
}
GET_SCHOOL_DISTRICT_API_MOCK = {
"displayFieldName": "NAME",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"NAME": "School Name",
"DISTRCTNAME": "School District Name",
"SCHOOLAREA": "Area in Square Miles",
"LASTUPDATE": "Last Update Date",
"LASTEDITOR": "Last Editor"
},
"features": [
{
"attributes": {
"OBJECTID": 1,
"NAME": "Brookline School",
"DISTRCTNAME": "Brookline",
"SCHOOLAREA": "1",
"LASTUPDATE": None,
"LASTEDITOR": None
},
"geometry": {
"rings": [[[-7920615.96685251,5205180.75934551]]]
}
}
]
}
NO_RESULTS_GET_SCHOOL_DISTRICT_API_MOCK = {
"displayFieldName": "NAME",
"fieldAliases": {
"OBJECTID": "OBJECTID",
"NAME": "School Name",
"DISTRCTNAME": "School District Name",
"SCHOOLAREA": "Area in Square Miles",
"LASTUPDATE": "Last Update Date",
"LASTEDITOR": "Last Editor"
},
"features": []
}
| get_police_station_api_mock = {'displayFieldName': 'NAME', 'fieldAliases': {'OBJECTID': 'OBJECTID', 'FACILITYID': 'Facility Identifier', 'NAME': 'Name of Facility', 'OWNER': 'Owner Name', 'OWNTYPE': 'Owner Type', 'SUBTYPEFIELD': 'Subtype Field', 'FEATURECODE': 'Feature Code', 'FULLADDR': 'Full Address', 'AGENCYURL': 'Website', 'OPERDAYS': 'Operational Days', 'OPERHOURS': 'Operational Hours', 'CONTACT': 'Contact Name', 'PHONE': 'Phone', 'EMAIL': 'Email'}, 'features': [{'attributes': {'OBJECTID': 1, 'FACILITYID': None, 'NAME': 'Brookline Public Safety HQ', 'OWNER': 'Town of Brookline', 'OWNTYPE': None, 'SUBTYPEFIELD': None, 'FEATURECODE': None, 'FULLADDR': '350 Washington St, Brookline, MA 02445', 'AGENCYURL': 'http://www.brooklinepolice.com/', 'OPERDAYS': 'Other', 'OPERHOURS': 'Other', 'CONTACT': None, 'PHONE': '617-730-2222', 'EMAIL': None}, 'geometry': {'x': -71.12140930363722, 'y': 42.333789044263746}}]}
no_results_get_police_station_api_mock = {'displayFieldName': 'NAME', 'fieldAliases': {'OBJECTID': 'OBJECTID', 'FACILITYID': 'Facility Identifier', 'NAME': 'Name of Facility', 'OWNER': 'Owner Name', 'OWNTYPE': 'Owner Type', 'SUBTYPEFIELD': 'Subtype Field', 'FEATURECODE': 'Feature Code', 'FULLADDR': 'Full Address', 'AGENCYURL': 'Website', 'OPERDAYS': 'Operational Days', 'OPERHOURS': 'Operational Hours', 'CONTACT': 'Contact Name', 'PHONE': 'Phone', 'EMAIL': 'Email'}, 'features': []}
geocode_mock = {'spatialReference': {'wkid': 4326, 'latestWkid': 4326}, 'x': -71.1206143363372, 'y': 42.33402053551253, 'z': 0}
location_mock = {'x': -71.1206143363372, 'y': 42.33402053551253, 'z': 0}
spacial_reference_mock = {'wkid': 4326, 'latestWkid': 4326}
address_candidate_mock = {'address': '333 WASHINGTON ST', 'location': {'x': -71.1206143363372, 'y': 42.33402053551253, 'z': 0}, 'score': 100, 'attributes': {'Loc_name': 'Building', 'Score': 100, 'Match_addr': '333 WASHINGTON ST'}}
get_address_candidates_api_mock = {'spatialReference': {'wkid': 4326, 'latestWkid': 4326}, 'candidates': [{'address': '333 WASHINGTON ST', 'location': {'x': -71.1206143363372, 'y': 42.33402053551253, 'z': 0}, 'score': 100, 'attributes': {'Loc_name': 'Building', 'Score': 100, 'Match_addr': '333 WASHINGTON ST'}}]}
geocode_address_mock = {'geometry': {'x': -7917110.640673582, 'y': 5211147.471469648}}
get_trash_pickup_api_mock = {'displayFieldName': 'DISTRICTID', 'fieldAliases': {'OBJECTID': 'OBJECTID', 'DISTRICTID': 'District ID', 'NAME': 'District Name', 'AGENCY': 'Agency', 'AGENCYURL': 'Website', 'CONTACT': 'Contact Name', 'PHONE': 'Phone', 'EMAIL': 'Email', 'SUBTYPEFIELD': 'Subtype Field', 'SCHEDULE': 'Schedule', 'DESCRIPT': 'Additional Information', 'MONDAY': 'Monday', 'TUESDAY': 'Tuesday', 'WEDNESDAY': 'Wednesday', 'THURSDAY': 'Thursday', 'FRIDAY': 'Friday', 'SATURDAY': 'Saturday', 'SUNDAY': 'Sunday', 'GlobalID': 'GlobalID'}, 'features': [{'attributes': {'OBJECTID': 2, 'DISTRICTID': '1', 'NAME': 'Wednesday Trash', 'AGENCY': 'Town of Brookline', 'AGENCYURL': 'http://ma-brookline.civicplus.com/820/Trash-Recycling-Information', 'CONTACT': 'Brookline Public Works', 'PHONE': 'null', 'EMAIL': 'null', 'SUBTYPEFIELD': 0, 'SCHEDULE': 'Weekly', 'DESCRIPT': 'http://ma-brookline.civicplus.com/834/Holiday-Schedule-Christmas-Tree-Pick-Up', 'MONDAY': 'No', 'TUESDAY': 'No', 'WEDNESDAY': 'Yes', 'THURSDAY': 'No', 'FRIDAY': 'No', 'SATURDAY': 'No', 'SUNDAY': 'No', 'GlobalID': '{20538BBF-EB83-4CCD-B1E8-93EF36554413}'}, 'geometry': {'x': -71.12140930363722, 'y': 42.333789044263746}}]}
no_response_trash_pickup_api_mock = {'displayFieldName': 'DISTRICTID', 'fieldAliases': {'OBJECTID': 'OBJECTID', 'DISTRICTID': 'District ID', 'NAME': 'District Name', 'AGENCY': 'Agency', 'AGENCYURL': 'Website', 'CONTACT': 'Contact Name', 'PHONE': 'Phone', 'EMAIL': 'Email', 'SUBTYPEFIELD': 'Subtype Field', 'SCHEDULE': 'Schedule', 'DESCRIPT': 'Additional Information', 'MONDAY': 'Monday', 'TUESDAY': 'Tuesday', 'WEDNESDAY': 'Wednesday', 'THURSDAY': 'Thursday', 'FRIDAY': 'Friday', 'SATURDAY': 'Saturday', 'SUNDAY': 'Sunday', 'GlobalID': 'GlobalID'}, 'features': []}
no_response_voting_precinct_api_mock = {'displayFieldName': 'NAME', 'fieldAliases': {'OBJECTID': 'OBJECTID', 'PRECINCTID': 'Precinct ID', 'NAME': 'Precinct Name', 'COUNTY': 'County', 'LASTUPDATE': 'Last Update Date', 'LASTEDITOR': 'Last Editor', 'SHAPE_Length': 'SHAPE_Length', 'SHAPE_Area': 'SHAPE_Area', 'STR_NUM': 'STR_NUM', 'STREET': 'STREET', 'ADDRESS': 'ADDRESS', 'LOC_DESC': 'LOC_DESC'}, 'geometryType': 'esriGeometryPolygon', 'spatialReference': {'wkid': 102100, 'latestWkid': 3857}, 'fields': [{'name': 'OBJECTID', 'type': 'esriFieldTypeOID', 'alias': 'OBJECTID'}, {'name': 'PRECINCTID', 'type': 'esriFieldTypeString', 'alias': 'Precinct ID', 'length': 10}, {'name': 'NAME', 'type': 'esriFieldTypeString', 'alias': 'Precinct Name', 'length': 50}, {'name': 'COUNTY', 'type': 'esriFieldTypeString', 'alias': 'County', 'length': 50}, {'name': 'LASTUPDATE', 'type': 'esriFieldTypeDate', 'alias': 'Last Update Date', 'length': 8}, {'name': 'LASTEDITOR', 'type': 'esriFieldTypeString', 'alias': 'Last Editor', 'length': 50}, {'name': 'SHAPE_Length', 'type': 'esriFieldTypeDouble', 'alias': 'SHAPE_Length'}, {'name': 'SHAPE_Area', 'type': 'esriFieldTypeDouble', 'alias': 'SHAPE_Area'}, {'name': 'STR_NUM', 'type': 'esriFieldTypeString', 'alias': 'STR_NUM', 'length': 8}, {'name': 'STREET', 'type': 'esriFieldTypeString', 'alias': 'STREET', 'length': 32}, {'name': 'ADDRESS', 'type': 'esriFieldTypeString', 'alias': 'ADDRESS', 'length': 64}, {'name': 'LOC_DESC', 'type': 'esriFieldTypeString', 'alias': 'LOC_DESC', 'length': 128}], 'features': []}
get_voting_precinct_api_mock = {'displayFieldName': 'NAME', 'fieldAliases': {'OBJECTID': 'OBJECTID', 'PRECINCTID': 'Precinct ID', 'NAME': 'Precinct Name', 'COUNTY': 'County', 'LASTUPDATE': 'Last Update Date', 'LASTEDITOR': 'Last Editor', 'SHAPE_Length': 'SHAPE_Length', 'SHAPE_Area': 'SHAPE_Area', 'STR_NUM': 'STR_NUM', 'STREET': 'STREET', 'ADDRESS': 'ADDRESS', 'LOC_DESC': 'LOC_DESC'}, 'geometryType': 'esriGeometryPolygon', 'spatialReference': {'wkid': 102100, 'latestWkid': 3857}, 'fields': [{'name': 'OBJECTID', 'type': 'esriFieldTypeOID', 'alias': 'OBJECTID'}, {'name': 'PRECINCTID', 'type': 'esriFieldTypeString', 'alias': 'Precinct ID', 'length': 10}, {'name': 'NAME', 'type': 'esriFieldTypeString', 'alias': 'Precinct Name', 'length': 50}, {'name': 'COUNTY', 'type': 'esriFieldTypeString', 'alias': 'County', 'length': 50}, {'name': 'LASTUPDATE', 'type': 'esriFieldTypeDate', 'alias': 'Last Update Date', 'length': 8}, {'name': 'LASTEDITOR', 'type': 'esriFieldTypeString', 'alias': 'Last Editor', 'length': 50}, {'name': 'SHAPE_Length', 'type': 'esriFieldTypeDouble', 'alias': 'SHAPE_Length'}, {'name': 'SHAPE_Area', 'type': 'esriFieldTypeDouble', 'alias': 'SHAPE_Area'}, {'name': 'STR_NUM', 'type': 'esriFieldTypeString', 'alias': 'STR_NUM', 'length': 8}, {'name': 'STREET', 'type': 'esriFieldTypeString', 'alias': 'STREET', 'length': 32}, {'name': 'ADDRESS', 'type': 'esriFieldTypeString', 'alias': 'ADDRESS', 'length': 64}, {'name': 'LOC_DESC', 'type': 'esriFieldTypeString', 'alias': 'LOC_DESC', 'length': 128}], 'features': [{'attributes': {'OBJECTID': 19, 'PRECINCTID': '6', 'NAME': 'Precinct 6 - Vote at 115 Greenough St', 'COUNTY': 'Norfolk', 'LASTUPDATE': 'null', 'LASTEDITOR': 'null', 'SHAPE_Length': 15810.092868688193, 'SHAPE_Area': 7070142.976472718, 'STR_NUM': '115', 'STREET': 'GREENOUGH ST', 'ADDRESS': '115 GREENOUGH ST', 'LOC_DESC': 'BHS Schluntz Gymnasium, 115 Greenough Street'}}]}
get_library_api_mock = {'features': [{'attributes': {'OBJECTID': 1, 'FACILITYID': 'None', 'NAME': 'Coolidge Corner Library', 'OWNER': 'Town of Brookline', 'OWNTYPE': 'None', 'SUBTYPEFIELD': 'None', 'FEATURECODE': 'None', 'FULLADDR': '31 Pleasant St, Brookline, MA 02446', 'AGENCYURL': 'http://www.brooklinelibrary.org/', 'OPERDAYS': 'Other', 'OPERHOURS': 'Other', 'CONTACT': 'None', 'PHONE': '617-730-2380', 'EMAIL': 'http://www.brooklinelibrary.org/about/email'}, 'geometry': {'x': -7916949.550832789, 'y': 5212579.537906414}}, {'attributes': {'OBJECTID': 2, 'FACILITYID': 'None', 'NAME': 'Main Library', 'OWNER': 'Town of Brookline', 'OWNTYPE': 'None', 'SUBTYPEFIELD': 'None', 'FEATURECODE': 'None', 'FULLADDR': '361 Washington St, Brookline, MA 02445', 'AGENCYURL': 'http://www.brooklinelibrary.org/', 'OPERDAYS': 'Other', 'OPERHOURS': 'Other', 'CONTACT': 'None', 'PHONE': '617-730-2370', 'EMAIL': 'http://www.brooklinelibrary.org/about/email'}, 'geometry': {'x': -7917194.260973867, 'y': 5211229.5272506215}}, {'attributes': {'OBJECTID': 3, 'FACILITYID': 'None', 'NAME': 'Putterham Branch Library', 'OWNER': 'Town of Brookline', 'OWNTYPE': 'None', 'SUBTYPEFIELD': 'None', 'FEATURECODE': 'None', 'FULLADDR': '959 W Roxbury Pky, Brookline, MA 02467', 'AGENCYURL': 'http://www.brooklinelibrary.org/', 'OPERDAYS': 'Other', 'OPERHOURS': 'Other', 'CONTACT': 'None', 'PHONE': '617-730-2385', 'EMAIL': 'http://www.brooklinelibrary.org/about/email'}, 'geometry': {'x': -7920391.679580264, 'y': 5206399.414108847}}]}
get_school_district_api_mock = {'displayFieldName': 'NAME', 'fieldAliases': {'OBJECTID': 'OBJECTID', 'NAME': 'School Name', 'DISTRCTNAME': 'School District Name', 'SCHOOLAREA': 'Area in Square Miles', 'LASTUPDATE': 'Last Update Date', 'LASTEDITOR': 'Last Editor'}, 'features': [{'attributes': {'OBJECTID': 1, 'NAME': 'Brookline School', 'DISTRCTNAME': 'Brookline', 'SCHOOLAREA': '1', 'LASTUPDATE': None, 'LASTEDITOR': None}, 'geometry': {'rings': [[[-7920615.96685251, 5205180.75934551]]]}}]}
no_results_get_school_district_api_mock = {'displayFieldName': 'NAME', 'fieldAliases': {'OBJECTID': 'OBJECTID', 'NAME': 'School Name', 'DISTRCTNAME': 'School District Name', 'SCHOOLAREA': 'Area in Square Miles', 'LASTUPDATE': 'Last Update Date', 'LASTEDITOR': 'Last Editor'}, 'features': []} |
#https://www.hackerrank.com/contests/w35/challenges/lucky-purchase/problem
books= {} ;
n= int(input()) ;
for a0 in range(n):
string = input().split() ;
books[string[0]] = string[1] ;
books = list(books.items()) ;
mini = books[0] ;
for pair in books:
if pair[1].count('7')+pair[1].count('4')!=len(pair[1]):
continue;
if(pair[1].count('7')==pair[1].count('4')):
if(int(pair[1])<int(mini[1])):
mini = pair ;
print(mini[0] if mini[1].count('7')==mini[1].count('4') and mini[1].count('7')+mini[1].count('4')==len(mini[1]) else "-1") ; | books = {}
n = int(input())
for a0 in range(n):
string = input().split()
books[string[0]] = string[1]
books = list(books.items())
mini = books[0]
for pair in books:
if pair[1].count('7') + pair[1].count('4') != len(pair[1]):
continue
if pair[1].count('7') == pair[1].count('4'):
if int(pair[1]) < int(mini[1]):
mini = pair
print(mini[0] if mini[1].count('7') == mini[1].count('4') and mini[1].count('7') + mini[1].count('4') == len(mini[1]) else '-1') |
n = int(input("_gram? - "))
s = input("words: ")
grams = []
for i in range(len(s)):
op = ""
for x in range(i, i + n):
if x >= len(s):
op = ""
break
op += s[x]
if op != "":
grams.append(op)
print(op)
grams.sort()
print(grams)
| n = int(input('_gram? - '))
s = input('words: ')
grams = []
for i in range(len(s)):
op = ''
for x in range(i, i + n):
if x >= len(s):
op = ''
break
op += s[x]
if op != '':
grams.append(op)
print(op)
grams.sort()
print(grams) |
VERSION = '0.1.6b0'
ENV_LIST = ['clustering-v0', 'clustering-v1',
'clustering-v2', 'clustering-v3', 'classification-v0']
| version = '0.1.6b0'
env_list = ['clustering-v0', 'clustering-v1', 'clustering-v2', 'clustering-v3', 'classification-v0'] |
# Solution A
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def reverseList(self, head: ListNode) -> ListNode:
prev = None
cur = head
while cur:
tmp = cur.next
cur.next = prev
prev = cur
cur = tmp
return prev
# Solution B
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def reverseList(self, head: ListNode) -> ListNode:
if not head or not head.next:
return head
newhead = self.reverseList(head.next)
head.next.next = head
head.next = None
return newhead
| class Solution:
def reverse_list(self, head: ListNode) -> ListNode:
prev = None
cur = head
while cur:
tmp = cur.next
cur.next = prev
prev = cur
cur = tmp
return prev
class Solution:
def reverse_list(self, head: ListNode) -> ListNode:
if not head or not head.next:
return head
newhead = self.reverseList(head.next)
head.next.next = head
head.next = None
return newhead |
a=[2, 3, 5, 7]
print(a)
a.reverse()
print(a)
| a = [2, 3, 5, 7]
print(a)
a.reverse()
print(a) |
def binarySearch(arr, x, left, right):
if right <= left:
if right + 1 <= len(arr):
return right + 1
return -1
mid = (left + right) // 2
if x <= arr[mid]:
return binarySearch(arr, x, left, mid)
else:
return binarySearch(arr, x, mid + 1, right)
def read_input():
n = input()
arr = list(map(int, input().split()))
x = int(input())
return arr, x
if __name__ == '__main__':
arr, x = read_input()
index = binarySearch(arr, x, left=0, right=len(arr))
index2 = binarySearch(arr, 2*x, left=0, right=len(arr))
print(index, index2)
| def binary_search(arr, x, left, right):
if right <= left:
if right + 1 <= len(arr):
return right + 1
return -1
mid = (left + right) // 2
if x <= arr[mid]:
return binary_search(arr, x, left, mid)
else:
return binary_search(arr, x, mid + 1, right)
def read_input():
n = input()
arr = list(map(int, input().split()))
x = int(input())
return (arr, x)
if __name__ == '__main__':
(arr, x) = read_input()
index = binary_search(arr, x, left=0, right=len(arr))
index2 = binary_search(arr, 2 * x, left=0, right=len(arr))
print(index, index2) |
river = {
'nile': 'egypt',
'huang': 'china',
'mississippi':'USA'
}
for key, value in river.items():
print("The " + key + "runs through " + value +".")
for name in (river.keys()):
print(name)
for country in (river.values()):
print(country) | river = {'nile': 'egypt', 'huang': 'china', 'mississippi': 'USA'}
for (key, value) in river.items():
print('The ' + key + 'runs through ' + value + '.')
for name in river.keys():
print(name)
for country in river.values():
print(country) |
# (C) Datadog, Inc. 2022-present
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
__version__ = '1.1.0'
| __version__ = '1.1.0' |
def printList():
li=list()
for i in range(1,21):
li.append(i**2)
print(li)
printList() | def print_list():
li = list()
for i in range(1, 21):
li.append(i ** 2)
print(li)
print_list() |
def count_substring(string, sub_string):
res = 0
len_sub = len(sub_string)
for i in range(len(string) - len_sub + 1):
if string[i:i + len_sub] == sub_string:
res += 1
i += 1
return res
| def count_substring(string, sub_string):
res = 0
len_sub = len(sub_string)
for i in range(len(string) - len_sub + 1):
if string[i:i + len_sub] == sub_string:
res += 1
i += 1
return res |
_base_="../base-ucmerced-config-simpleaug.py"
# this will merge with the parent
model=dict(pretrained='data/basetrain_chkpts/moco_v2_800ep.pth')
# epoch related
total_iters=5000
checkpoint_config = dict(interval=total_iters)
model = dict(
pretrained='data/basetrain_chkpts/moco_v2_800ep.pth',
backbone=dict(
norm_train=True,
frozen_stages=4,
)
)
optimizer = dict(type='SGD', lr=0.1, weight_decay=0.0001, momentum=0.9)
| _base_ = '../base-ucmerced-config-simpleaug.py'
model = dict(pretrained='data/basetrain_chkpts/moco_v2_800ep.pth')
total_iters = 5000
checkpoint_config = dict(interval=total_iters)
model = dict(pretrained='data/basetrain_chkpts/moco_v2_800ep.pth', backbone=dict(norm_train=True, frozen_stages=4))
optimizer = dict(type='SGD', lr=0.1, weight_decay=0.0001, momentum=0.9) |
def finferensi(berat, pinjam, harga):
linguistik = []
derajat = []
for bk, bv in berat.items():
for pk, pv in pinjam.items():
for hk, hv in harga.items():
# rule 1
if bk == 'ringan' and pk == 'sebentar' and hk == 'rendah':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 2
if bk == 'ringan' and pk == 'sebentar' and hk == 'menengah':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 3
if bk == 'ringan' and pk == 'sebentar' and hk == 'tinggi':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 4
if bk == 'ringan' and pk == 'menengah' and hk == 'rendah':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 5
if bk == 'ringan' and pk == 'menengah' and hk == 'menengah':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 6
if bk == 'ringan' and pk == 'menengah' and hk == 'tinggi':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 7
if bk == 'ringan' and pk == 'lama' and hk == 'rendah':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 8
if bk == 'ringan' and pk == 'lama' and hk == 'menengah':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 9
if bk == 'ringan' and pk == 'lama' and hk == 'tinggi':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 10
if bk == 'sedang' and pk == 'sebentar' and hk == 'rendah':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 11
if bk == 'sedang' and pk == 'sebentar' and hk == 'menengah':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 12
if bk == 'sedang' and pk == 'sebentar' and hk == 'tinggi':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 13
if bk == 'sedang' and pk == 'menengah' and hk == 'rendah':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 14
if bk == 'sedang' and pk == 'menengah' and hk == 'menengah':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 15
if bk == 'sedang' and pk == 'menengah' and hk == 'tinggi':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 16
if bk == 'sedang' and pk == 'lama' and hk == 'rendah':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 17
if bk == 'sedang' and pk == 'lama' and hk == 'menengah':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 18
if bk == 'sedang' and pk == 'lama' and hk == 'tinggi':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 19
if bk == 'berat' and pk == 'sebentar' and hk == 'rendah':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 20
if bk == 'berat' and pk == 'sebentar' and hk == 'menengah':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 21
if bk == 'berat' and pk == 'sebentar' and hk == 'tinggi':
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
# rule 22
if bk == 'berat' and pk == 'menengah' and hk == 'rendah':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 23
if bk == 'berat' and pk == 'menengah' and hk == 'menengah':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 24
if bk == 'berat' and pk == 'menengah' and hk == 'tinggi':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 25
if bk == 'berat' and pk == 'lama' and hk == 'rendah':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 26
if bk == 'berat' and pk == 'lama' and hk == 'menengah':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
# rule 27
if bk == 'berat' and pk == 'lama' and hk == 'tinggi':
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
i = 0
templinguistik = []
tempderajat = []
for index,nama in enumerate(linguistik):
if derajat[i] != 0:
templinguistik.append(nama)
tempderajat.append(derajat[i])
print(f'{index+1}. {nama}: {derajat[i]}')
i += 1
tkecil = []
tbesar = []
for li,de in zip (templinguistik,tempderajat):
if li == 'kecil':
tkecil.append(de)
else:
tbesar.append(de)
if tkecil == []:
tkecil = [0,0]
elif tbesar == []:
tbesar = [0,0]
kecil = max(tkecil)
besar = max(tbesar)
output = dict(kecil=kecil,besar=besar)
return output
| def finferensi(berat, pinjam, harga):
linguistik = []
derajat = []
for (bk, bv) in berat.items():
for (pk, pv) in pinjam.items():
for (hk, hv) in harga.items():
if bk == 'ringan' and pk == 'sebentar' and (hk == 'rendah'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'ringan' and pk == 'sebentar' and (hk == 'menengah'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'ringan' and pk == 'sebentar' and (hk == 'tinggi'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'ringan' and pk == 'menengah' and (hk == 'rendah'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'ringan' and pk == 'menengah' and (hk == 'menengah'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'ringan' and pk == 'menengah' and (hk == 'tinggi'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'ringan' and pk == 'lama' and (hk == 'rendah'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'ringan' and pk == 'lama' and (hk == 'menengah'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'ringan' and pk == 'lama' and (hk == 'tinggi'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'sedang' and pk == 'sebentar' and (hk == 'rendah'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'sedang' and pk == 'sebentar' and (hk == 'menengah'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'sedang' and pk == 'sebentar' and (hk == 'tinggi'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'sedang' and pk == 'menengah' and (hk == 'rendah'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'sedang' and pk == 'menengah' and (hk == 'menengah'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'sedang' and pk == 'menengah' and (hk == 'tinggi'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'sedang' and pk == 'lama' and (hk == 'rendah'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'sedang' and pk == 'lama' and (hk == 'menengah'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'sedang' and pk == 'lama' and (hk == 'tinggi'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'berat' and pk == 'sebentar' and (hk == 'rendah'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'berat' and pk == 'sebentar' and (hk == 'menengah'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'berat' and pk == 'sebentar' and (hk == 'tinggi'):
linguistik.append('kecil')
derajat.append(min(bv, pv, hv))
if bk == 'berat' and pk == 'menengah' and (hk == 'rendah'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'berat' and pk == 'menengah' and (hk == 'menengah'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'berat' and pk == 'menengah' and (hk == 'tinggi'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'berat' and pk == 'lama' and (hk == 'rendah'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'berat' and pk == 'lama' and (hk == 'menengah'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
if bk == 'berat' and pk == 'lama' and (hk == 'tinggi'):
linguistik.append('besar')
derajat.append(min(bv, pv, hv))
i = 0
templinguistik = []
tempderajat = []
for (index, nama) in enumerate(linguistik):
if derajat[i] != 0:
templinguistik.append(nama)
tempderajat.append(derajat[i])
print(f'{index + 1}. {nama}: {derajat[i]}')
i += 1
tkecil = []
tbesar = []
for (li, de) in zip(templinguistik, tempderajat):
if li == 'kecil':
tkecil.append(de)
else:
tbesar.append(de)
if tkecil == []:
tkecil = [0, 0]
elif tbesar == []:
tbesar = [0, 0]
kecil = max(tkecil)
besar = max(tbesar)
output = dict(kecil=kecil, besar=besar)
return output |
# Booknames.py
class Booknames:
def usfmBookId(self, bookName):
books = {
'Genesis': 'GEN',
'Exodus': 'EXO',
'Leviticus': 'LEV',
'Numbers': 'NUM',
'Deuteronomy': 'DEU',
'Joshua': 'JOS',
'Judges': 'JDG',
'Ruth': 'RUT',
'1Samuel': '1SA',
'2Samuel': '2SA',
'1Kings': '1KI',
'2Kings': '2KI',
'1Chronicles': '1CH',
'2Chronicles': '2CH',
'Ezra': 'EZR',
'1Ezra': 'EZR',
'Nehemiah': 'NEH',
'2Ezra': 'NEH',
'Esther': 'EST',
'Job': 'JOB',
'Psalms': 'PSA',
'PSALM': 'PSA',
'Proverbs': 'PRO',
'PROVERBS': 'PRO',
'Ecclesiastes': 'ECC',
'SongofSongs': 'SNG',
'Song': 'SNG',
'Isaiah': 'ISA',
'Jeremiah': 'JER',
'Lamentations': 'LAM',
'Ezekiel': 'EZK',
'Daniel': 'DAN',
'Hosea': 'HOS',
'Joel': 'JOL',
'Amos': 'AMO',
'Obadiah': 'OBA',
'Jonah': 'JON',
'Micah': 'MIC',
'Nahum': 'NAM',
'Habakkuk': 'HAB',
'Zephaniah': 'ZEP',
'Haggai': 'HAG',
'Zechariah': 'ZEC',
'Zachariah': 'ZEC',
'Malachi': 'MAL',
'Matthew': 'MAT',
'Mark': 'MRK',
'Luke': 'LUK',
'John': 'JHN',
'Acts': 'ACT',
'Romans': 'ROM',
'1Corinthians': '1CO',
'2Corinthians': '2CO',
'Galatians': 'GAL',
'Ephesians': 'EPH',
'Philippians': 'PHP',
'Phil': 'PHP',
'Colossians': 'COL',
'1Thess': '1TH',
'1Thessalonians':'1TH',
'2Thess': '2TH',
'2Thessalonians':'2TH',
'1Timothy': '1TI',
'2Timothy': '2TI',
'Titus': 'TIT',
'Philemon': 'PHM',
'Hebrews': 'HEB',
'James': 'JAS',
'1Peter': '1PE',
'2Peter': '2PE',
'1John': '1JN',
'2John': '2JN',
'3John': '3JN',
'Jude': 'JUD',
'Revelation': 'REV',
'Tobit': 'TOB',
'Judith': 'JDT',
'Wisdom': 'WIS',
'Sirach': 'SIR',
'Baruch': 'BAR',
'EpistJeremia': 'LJE',
'EpistJeremiah':'LJE',
'1Maccabees': '1MA',
'2Maccabees': '2MA',
'3Maccabees': '3MA',
'4Maccabees': '4MA',
# Spanish
'Exodo': 'EXO',
'Levitico': 'LEV',
'Levetico': 'LEV',
'Numeros': 'NUM',
'Deuteronomio': 'DEU',
'Josue': 'JOS',
'Jueces': 'JDG',
'Rut': 'RUT',
'1Reyes': '1KI',
'2Reyes': '2KI',
'1Cronicas': '1CH',
'2Cronicas': '2CH',
'Esdras': 'EZR',
'Nehemias': 'NEH',
'Ester': 'EST',
'Salmos': 'PSA',
'Salmo': 'PSA',
'salmo': 'PSA',
'Proverbios': 'PRO',
'Eclesiastes': 'ECC',
'Cantaras': 'SNG',
'Isaias': 'ISA',
'Jeremias': 'JER',
'Lamentacione': 'LAM',
'Ezequiel': 'EZK',
'Oseas': 'HOS',
'Abdias': 'OBA',
'Jonas': 'JON',
'Miqueas': 'MIC',
'Habacuc': 'HAB',
'Sofonias': 'ZEP',
'Hageo': 'HAG',
'Zacarias': 'ZEC',
'Malaquias': 'MAL',
'San_Mateo': 'MAT',
'San_Marcos': 'MRK',
'San_Lucas': 'LUK',
'San_Juan': 'JHN',
'San_1uan': 'JHN',
'Hechos': 'ACT',
'Romanos': 'ROM',
'1Corintios': '1CO',
'2Corintios': '2CO',
'Galatas': 'GAL',
'Efesios': 'EPH',
'Filipenses': 'PHP',
'Colosenses': 'COL',
'1Tes': '1TH',
'2Tes': '2TH',
'1Timoteo': '1TI',
'2Timoteo': '2TI',
'Tito': 'TIT',
'Filemon': 'PHM',
'Hebreos': 'HEB',
'Santiago': 'JAS',
'1San_Pedro': '1PE',
'2San_Pedro': '2PE',
'1San_Juan': '1JN',
'1San_1uan': '1JN',
'2San_Juan': '2JN',
'2San_1uan': '2JN',
'3San_Juan': '3JN',
'3San_1uan': '3JN',
'Judas': 'JUD',
'1udas': 'JUD',
'Apocalipsis': 'REV',
# Spanish Capitulo
'Genesis_Capitulo': 'GEN',
'Exodo_Capitulo': 'EXO',
'Levetico_Capitulo': 'LEV',
'Numeros_Capitulo': 'NUM',
'Deuteronomio_Capitulo':'DEU',
'Josue_Capitulo': 'JOS',
'Jueces_Capitulo': 'JDG',
'Ruth_Capitulo': 'RUT',
'1Samuel_Capitulo': '1SA',
'2Samuel_Capitulo': '2SA',
'1Reyes_Capitulo': '1KI',
'2Reyes_Capitulo': '2KI',
'Esdras_Capitulo': 'EZR',
'Esther_Capitulo': 'EST',
'Job_Capitulo': 'JOB',
'Salmos_Capitulo': 'PSA',
'Proverbios_Capitulo': 'PRO',
'Isaias_Capitulo': 'ISA',
'Ezequiel_Capitulo': 'EZK',
'Daniel_Capitulo': 'DAN',
'Oseas_Capitulo': 'HOS',
'Joel_Capitulo': 'JOL',
'Amos_Capitulo': 'AMO',
'Abdias_Capitulo': 'OBA',
'Jonas_Capitulo': 'JON',
'Miqueas_Capitulo': 'MIC',
'Nahum_Capitulo': 'NAM',
'Habacuc_Capitulo': 'HAB',
'Sofonias_Capitulo': 'ZEP',
# Spanish Book Codes, included as names, because not standard
'GEN': 'GEN',
'EXO': 'EXO',
'LEV': 'LEV',
'NUM': 'NUM',
'DEU': 'DEU',
'JOS': 'JOS',
'JUE': 'JDG',
'1SA': '1SA',
'2SA': '2SA',
'1RE': '1KI',
'2RE': '2KI',
'1CR': '1CH',
'2CR': '2CH',
'ESD': 'EZR',
'NEH': 'NEH',
'JOB': 'JOB',
'SAL': 'PSA',
'PRO': 'PRO',
'ISA': 'ISA',
'EZE': 'EZK',
'DAN': 'DAN',
'JOE': 'JOL',
'AMO': 'AMO',
'MIQ': 'MIC',
'HAB': 'HAB',
'SOF': 'ZEP',
'ZAC': 'ZEC',
'MAL': 'MAL',
# Portuguese
'Juizes': 'JDG',
'1Reis': '1KI',
'2Reis': '2KI',
'Neemias': 'NEH',
'Cantares': 'SNG',
'Lamentacoes': 'LAM',
'Obadias': 'OBA',
'Naum': 'NAM',
'Ageu': 'HAG',
'S_Mateus': 'MAT',
'S_Marcos': 'MRK',
'S_Lucas': 'LUK',
'S_Joao': 'JHN',
'Atos': 'ACT',
'Colossenses': 'COL',
'1Tess': '1TH',
'2Tess': '2TH',
'Hebreus': 'HEB',
'S_Tiago': 'JAS',
'1Pedro': '1PE',
'2Pedro': '2PE',
'1S_Joao': '1JN',
'2S_Joao': '2JN',
'3S_Joao': '3JN',
'S_Judas': 'JUD',
'Apocalipse': 'REV',
# French
'Genese': 'GEN',
'Exode': 'EXO',
'Levitique': 'LEV',
'Nombres': 'NUM',
'Deuteronome': 'DEU',
'Juges': 'JDG',
'1Rois': '1KI',
'2Rois': '2KI',
'1Chroniques': '1CH',
'2Chroniques': '2CH',
'Nehemie': 'NEH',
'Psaumes': 'PSA',
'Proverbes': 'PRO',
'Ecclesiaste': 'ECC',
'Cantiques': 'SNG',
'Esaie': 'ISA',
'Jeremie': 'JER',
'Lamentation': 'LAM',
'Osee': 'HOS',
'Michee': 'MIC',
'Sophonie': 'ZEP',
'Aggee': 'HAG',
'Zacharie': 'ZEC',
'Malachie': 'MAL',
# Indonesian
'Matius': 'MAT',
'Markus': 'MRK',
'Lukas': 'LUK',
'Yohanes': 'JHN',
'Kisah_Rasul': 'ACT',
'Roma': 'ROM',
'1Korintus': '1CO',
'2Korintus': '2CO',
'Galatia': 'GAL',
'Efesus': 'EPH',
'Filipi': 'PHP',
'Kolose': 'COL',
'1Tesalonika': '1TH',
'2Tesalonika': '2TH',
'1Timotius': '1TI',
'2Timotius': '2TI',
'Ibrani': 'HEB',
'Yakobus': 'JAS',
'1Petrus': '1PE',
'2Petrus': '2PE',
'1Yohanes': '1JN',
'2Yohanes': '2JN',
'3Yohanes': '3JN',
'Yudas': 'JUD',
'Wahyu': 'REV',
# Maasina Fulfulde
'Matthieu': 'MAT',
'Marc': 'MRK',
'Luc': 'LUK',
'Jean': 'JHN',
'Actes': 'ACT',
'Romains': 'ROM',
'1Corinthiens': '1CO',
'2Corinthiens': '2CO',
'Galates': 'GAL',
'Ephesiens': 'EPH',
'Philippiens': 'PHP',
'Colossiens': 'COL',
'1Thess': '1TH',
'2Thess': '2TH',
'1Timothee': '1TI',
'2Timothee': '2TI',
'Tite': 'TIT',
'Philemon': 'PHM',
'Hebreux': 'HEB',
'Jacques': 'JAS',
'1Pierre': '1PE',
'2Pierre': '2PE',
'1Jean': '1JN',
'2Jean': '2JN',
'3Jean': '3JN',
'Jude': 'JUD',
'Apocalypse': 'REV',
# Kolibugan Subanonm Southern Phillipines skn
'PONOGNAAN': 'GEN',
'YUNUS': 'JON',
'MARKUS': 'MRK',
'LUKAS': 'LUK',
'YAHIYA': 'JHN',
'MGA_GINANG': 'ACT',
'GALATIYA': 'GAL',
'EPESUS': 'EPH',
'PILIPI': 'PHP',
'KOLOSAS': 'COL',
'1TESALONIKA': '1TH',
'2TESALONIKA': '2TH',
'1TIMUTI': '1TI',
'2TIMUTI': '2TI',
'TITUS': 'TIT',
'YAKUB': 'JAS',
# Malay
'Kejadian': 'GEN',
'Keluaran': 'EXO',
'Imamat': 'LEV',
'Bilangan': 'NUM',
'Ulangan': 'DEU',
'Yosua': 'JOS',
'Hakim-hakim': 'JDG',
'1Raja-raja': '1KI',
'2Raja-raja': '2KI',
'1Tawarikh': '1CH',
'2Tawarikh': '2CH',
'Nehemia': 'NEH',
'Ayub': 'JOB',
'Mazmur': 'PSA',
'Amsal': 'PRO',
'Pengkhotbah': 'ECC',
'Kidung': 'SNG',
'Yesaya': 'ISA',
'Yeremia': 'JER',
'Ratapan': 'LAM',
'Yehezkiel': 'EZK',
'Yoel': 'JOL',
'Obaja': 'OBA',
'Yunus': 'JON',
'Mikha': 'MIC',
'Habakuk': 'HAB',
'Zefanya': 'ZEP',
'Hagai': 'HAG',
'Zakharia': 'ZEC',
'Maleakhi': 'MAL'
}
result = books.get(bookName, None)
return result
#NT Order:
#Traditional
#Russian
#Plautdietsch
#Finnish
#OT Order:
#Masoretic-Christian
#Masoretic-Tanakh
#Septuagint
#Vulgate
##
## Old Testament Book orders
##
def TraditionalOT(self, sequence):
traditional = {
'A01': 'GEN',
'A02': 'EXO',
'A03': 'LEV',
'A04': 'NUM',
'A05': 'DEU',
'A06': 'JOS',
'A07': 'JDG',
'A08': 'RUT',
'A09': '1SA',
'A10': '2SA',
'A11': '1KI',
'A12': '2KI',
'A13': '1CH',
'A14': '2CH',
'A15': 'EZR',
'A16': 'NEH',
'A17': 'EST',
'A18': 'JOB',
'A19': 'PSA',
'A20': 'PRO',
'A21': 'ECC',
'A22': 'SNG',
'A23': 'ISA',
'A24': 'JER',
'A25': 'LAM',
'A26': 'EZK',
'A27': 'DAN',
'A28': 'HOS',
'A29': 'JOL',
'A30': 'AMO',
'A31': 'OBA',
'A32': 'JON',
'A33': 'MIC',
'A34': 'NAM',
'A35': 'HAB',
'A36': 'ZEP',
'A37': 'HAG',
'A38': 'ZEC',
'A39': 'MAL'
}
return traditional.get(sequence, None)
def MasoreticChristianOT(self, sequence):
return self.TraditionalOT(sequence)
def HebrewOT(self, sequence):
hebrew = {
'A01': 'GEN',
'A02': 'EXO',
'A03': 'LEV',
'A04': 'NUM',
'A05': 'DEU',
'A06': 'JOS',
'A07': 'JDG',
'A08': '1SA',
'A09': '2SA',
'A10': '1KI',
'A11': '2KI',
'A12': 'ISA',
'A13': 'JER',
'A14': 'EZK',
'A15': 'HOS',
'A16': 'JOL',
'A17': 'AMO',
'A18': 'OBA',
'A19': 'JON',
'A20': 'MIC',
'A21': 'NAM',
'A22': 'HAB',
'A23': 'ZEP',
'A24': 'HAG',
'A25': 'ZEC',
'A26': 'MAL',
'A27': 'PSA',
'A28': 'PRO',
'A29': 'JOB',
'A30': 'SNG',
'A31': 'RUT',
'A32': 'LAM',
'A33': 'ECC',
'A34': 'EST',
'A35': 'DAN',
'A36': 'EZR',
'A37': 'NEH',
'A38': '1CH',
'A39': '2CH'
}
return hebrew.get(sequence, None)
def MasoreticTanakhOT(self, sequence):
return self.HebrewOT(sequence)
def CatholicOT(self, sequence): # This is my name for it. It must be corrected
catholic = {
'A01': 'GEN',
'A02': 'EXO',
'A03': 'LEV',
'A04': 'NUM',
'A05': 'DEU',
'A06': 'JOS',
'A07': 'JDG',
'A08': 'RUT',
'A09': '1SA',
'A10': '2SA',
'A11': '1KI',
'A12': '2KI',
'A13': '1CH',
'A14': '2CH',
'A15': 'EZR',
'A16': 'NEH',
'A17': 'TOB',
'A18': 'JDT',
'A19': 'EST',
'A20': '1MA',
'A21': '2MA',
'A22': 'JOB',
'A23': 'PSA',
'A24': 'PRO',
'A25': 'ECC',
'A26': 'SNG',
'A27': 'WIS',
'A28': 'SIR',
'A29': 'ISA',
'A30': 'JER',
'A31': 'LAM',
'A32': 'BAR',
'A33': 'EZK',
'A34': 'DAG',
'A35': 'HOS',
'A36': 'JOL',
'A37': 'AMO',
'A38': 'OBA',
'A39': 'JON',
'A40': 'MIC',
'A41': 'NAM',
'A42': 'HAB',
'A43': 'ZEP',
'A44': 'HAG',
'A45': 'ZEC',
'A46': 'MAL'
}
return catholic.get(sequence, None)
def VulgateOT(self, sequence):
vulgate = {
## To be added when sequence is known
}
return vulgate.get(sequence, None)
def SeptuagintOT(self, sequence):
septuagint = {
'A01': 'GEN',
'A02': 'EXO',
'A03': 'LEV',
'A04': 'NUM',
'A05': 'DEU',
'A06': 'JOS',
'A07': 'JDG',
'A08': 'RUT',
'A09': '1SA',
'A10': '2SA',
'A11': '1KI',
'A12': '2KI',
'A13': '1CH',
'A14': '2CH',
'A15': 'EZA', # Not sure EZA is correct codeEsdras 1
'A16': 'EZR',
'A17': 'NEH',
'A18': 'TOB', # Tobit
'A19': 'JDT', # Judith
'A20': 'ESG', # EST with additions
'A21': '1MA', # 1Maccabees
'A22': '2MA', # 2Maccabees
'A23': '3MA', # 3Maccabees
'A24': 'PSA',
# I think prayer of Manassa goes here
'A25': 'JOB',
'A26': 'PRO',
'A27': 'ECC',
'A28': 'SNG',
'A29': 'WIS', # Wisdom of Solomon
'A30': 'SIR', # Sirach
# Does Psalm of Solomon go here
'A31': 'HOS',
'A32': 'AMO',
'A33': 'MIC',
'A34': 'JOL',
'A35': 'OBA',
'A36': 'JON',
'A37': 'NAM',
'A38': 'HAB',
'A39': 'ZEP',
'A40': 'HAG',
'A41': 'ZEC',
'A42': 'MAL',
'A43': 'ISA',
'A44': 'JER',
'A45': 'BAR', # First book of Baruch
'A46': 'LAM',
'A47': 'LJE', # Epistle Jeremiah
'A48': 'EZK',
'A49': 'DAG', # DAN with additions
'A50': '4MA' # 4Maccabees
}
return septuagint.get(sequence, None)
def Septuagint2OT(self, sequence):
septuagint = {
'A01': 'GEN',
'A02': 'EXO',
'A03': 'LEV',
'A04': 'NUM',
'A05': 'DEU',
'A06': 'JOS',
'A07': 'JDG',
'A08': 'RUT',
'A09': '1SA',
'A10': '2SA',
'A11': '1KI',
'A12': '2KI',
'A13': '1CH',
'A14': '2CH',
'A15': 'EZA', # Not sure EZA is correct codeEsdras 1
'A16': 'EZR',
'A17': 'NEH',
'A18': 'TOB', # Tobit
'A19': 'JDT', # Judith
'A20': 'ESG', # EST with additions
'A21': '1MA', # 1Maccabees
'A22': '2MA', # 2Maccabees
'A23': '3MA', # 3Maccabees
'A24': 'PSA',
'A25': 'PS2', # special code for PSA 151
'A26': 'JOB',
'A27': 'PRO',
'A28': 'ECC',
'A29': 'SNG',
'A30': 'WIS', # Wisdom of Solomon
'A31': 'SIR', # Sirach
# Does Psalm of Solomon go here
'A32': 'HOS',
'A33': 'AMO',
'A34': 'MIC',
'A35': 'JOL',
'A36': 'OBA',
'A37': 'JON',
'A38': 'NAM',
'A39': 'HAB',
'A40': 'ZEP',
'A41': 'HAG',
'A42': 'ZEC',
'A43': 'MAL',
'A44': 'ISA',
'A45': 'JER',
'A46': 'BAR', # First book of Baruch
'A47': 'LAM',
'A48': 'LJE', # Epistle Jeremiah
'A49': 'EZK',
'A50': 'DAG', # DAN with additions
'A51': 'SUS', # Susanna
'A52': '4MA' # 4Maccabees
}
return septuagint.get(sequence, None)
def DutchTraditionalOT(self, sequence):
dutch = {
## To be added when sequence is known
}
return dutch.get(sequence, None)
def TRNNTMOT(self, sequence):
trnntm = {
'A01': 'GEN',
'A02': 'EXO',
'A03': 'LEV',
'A04': 'NUM',
'A05': 'DEU',
'A06': 'JOS',
'A07': 'JDG',
'A08': 'RUT',
'A09': '1SA',
'A10': '2SA',
'A11': '1CH',
'A12': '2CH',
'A13': '2KI',
'A14': 'ISA',
'A15': 'JER',
'A16': 'MIC',
'A17': 'HOS',
'A18': 'PSA',
'A19': 'ZEC',
'A20': 'JON'
}
return trnntm.get(sequence, None)
##
## New Testament book orders
##
def TraditionalNT(self, sequence):
traditional = {
'B01': 'MAT',
'B02': 'MRK',
'B03': 'LUK',
'B04': 'JHN',
'B05': 'ACT',
'B06': 'ROM',
'B07': '1CO',
'B08': '2CO',
'B09': 'GAL',
'B10': 'EPH',
'B11': 'PHP',
'B12': 'COL',
'B13': '1TH',
'B14': '2TH',
'B15': '1TI',
'B16': '2TI',
'B17': 'TIT',
'B18': 'PHM',
'B19': 'HEB',
'B20': 'JAS',
'B21': '1PE',
'B22': '2PE',
'B23': '1JN',
'B24': '2JN',
'B25': '3JN',
'B26': 'JUD',
'B27': 'REV'
}
return traditional.get(sequence, None)
def RussianNT(self, sequence):
russian = {
'B01': 'MAT',
'B02': 'MRK',
'B03': 'LUK',
'B04': 'JHN',
'B05': 'ACT',
'B06': 'JAS',
'B07': '1PE',
'B08': '2PE',
'B09': '1JN',
'B10': '2JN',
'B11': '3JN',
'B12': 'JUD',
'B13': 'ROM',
'B14': '1CO',
'B15': '2CO',
'B16': 'GAL',
'B17': 'EPH',
'B18': 'PHP',
'B19': 'COL',
'B20': '1TH',
'B21': '2TH',
'B22': '1TI',
'B23': '2TI',
'B24': 'TIT',
'B25': 'PHM',
'B26': 'HEB',
'B27': 'REV'
}
return russian.get(sequence, None)
def PlautdietschNT(self, sequence):
diestsch = {
'B01': 'MAT',
'B02': 'MRK',
'B03': 'LUK',
'B04': 'JHN',
'B05': 'ACT',
'B06': 'ROM',
'B07': '1CO',
'B08': '2CO',
'B09': 'GAL',
'B10': 'EPH',
'B11': 'PHP',
'B12': 'COL',
'B13': '1TH',
'B14': '2TH',
'B15': '1TI',
'B16': '2TI',
'B17': 'TIT',
'B18': 'PHM',
'B19': '1PE',
'B20': '2PE',
'B21': '1JN',
'B22': '2JN',
'B23': '3JN',
'B24': 'HEB',
'B25': 'JAS',
'B26': 'JUD',
'B27': 'REV'
}
return diestsch.get(sequence, None)
def FinnishNT(self, sequence):
finnish = {
'B01': 'MAT',
'B02': 'MRK',
'B03': 'LUK',
'B04': 'JHN',
'B05': 'ACT',
'B06': 'ROM',
'B07': '1CO',
'B08': '2CO',
'B09': 'GAL',
'B10': 'EPH',
'B11': 'PHP',
'B12': 'COL',
'B13': '1TH',
'B14': '2TH',
'B15': '1TI',
'B16': '2TI',
'B17': 'TIT',
'B18': 'PHM',
'B19': 'HEB',
'B20': '1PE',
'B21': '2PE',
'B22': '1JN',
'B23': '2JN',
'B24': '3JN',
'B25': 'JAS',
'B26': 'JUD',
'B27': 'REV'
}
return finnish.get(sequence, None)
| class Booknames:
def usfm_book_id(self, bookName):
books = {'Genesis': 'GEN', 'Exodus': 'EXO', 'Leviticus': 'LEV', 'Numbers': 'NUM', 'Deuteronomy': 'DEU', 'Joshua': 'JOS', 'Judges': 'JDG', 'Ruth': 'RUT', '1Samuel': '1SA', '2Samuel': '2SA', '1Kings': '1KI', '2Kings': '2KI', '1Chronicles': '1CH', '2Chronicles': '2CH', 'Ezra': 'EZR', '1Ezra': 'EZR', 'Nehemiah': 'NEH', '2Ezra': 'NEH', 'Esther': 'EST', 'Job': 'JOB', 'Psalms': 'PSA', 'PSALM': 'PSA', 'Proverbs': 'PRO', 'PROVERBS': 'PRO', 'Ecclesiastes': 'ECC', 'SongofSongs': 'SNG', 'Song': 'SNG', 'Isaiah': 'ISA', 'Jeremiah': 'JER', 'Lamentations': 'LAM', 'Ezekiel': 'EZK', 'Daniel': 'DAN', 'Hosea': 'HOS', 'Joel': 'JOL', 'Amos': 'AMO', 'Obadiah': 'OBA', 'Jonah': 'JON', 'Micah': 'MIC', 'Nahum': 'NAM', 'Habakkuk': 'HAB', 'Zephaniah': 'ZEP', 'Haggai': 'HAG', 'Zechariah': 'ZEC', 'Zachariah': 'ZEC', 'Malachi': 'MAL', 'Matthew': 'MAT', 'Mark': 'MRK', 'Luke': 'LUK', 'John': 'JHN', 'Acts': 'ACT', 'Romans': 'ROM', '1Corinthians': '1CO', '2Corinthians': '2CO', 'Galatians': 'GAL', 'Ephesians': 'EPH', 'Philippians': 'PHP', 'Phil': 'PHP', 'Colossians': 'COL', '1Thess': '1TH', '1Thessalonians': '1TH', '2Thess': '2TH', '2Thessalonians': '2TH', '1Timothy': '1TI', '2Timothy': '2TI', 'Titus': 'TIT', 'Philemon': 'PHM', 'Hebrews': 'HEB', 'James': 'JAS', '1Peter': '1PE', '2Peter': '2PE', '1John': '1JN', '2John': '2JN', '3John': '3JN', 'Jude': 'JUD', 'Revelation': 'REV', 'Tobit': 'TOB', 'Judith': 'JDT', 'Wisdom': 'WIS', 'Sirach': 'SIR', 'Baruch': 'BAR', 'EpistJeremia': 'LJE', 'EpistJeremiah': 'LJE', '1Maccabees': '1MA', '2Maccabees': '2MA', '3Maccabees': '3MA', '4Maccabees': '4MA', 'Exodo': 'EXO', 'Levitico': 'LEV', 'Levetico': 'LEV', 'Numeros': 'NUM', 'Deuteronomio': 'DEU', 'Josue': 'JOS', 'Jueces': 'JDG', 'Rut': 'RUT', '1Reyes': '1KI', '2Reyes': '2KI', '1Cronicas': '1CH', '2Cronicas': '2CH', 'Esdras': 'EZR', 'Nehemias': 'NEH', 'Ester': 'EST', 'Salmos': 'PSA', 'Salmo': 'PSA', 'salmo': 'PSA', 'Proverbios': 'PRO', 'Eclesiastes': 'ECC', 'Cantaras': 'SNG', 'Isaias': 'ISA', 'Jeremias': 'JER', 'Lamentacione': 'LAM', 'Ezequiel': 'EZK', 'Oseas': 'HOS', 'Abdias': 'OBA', 'Jonas': 'JON', 'Miqueas': 'MIC', 'Habacuc': 'HAB', 'Sofonias': 'ZEP', 'Hageo': 'HAG', 'Zacarias': 'ZEC', 'Malaquias': 'MAL', 'San_Mateo': 'MAT', 'San_Marcos': 'MRK', 'San_Lucas': 'LUK', 'San_Juan': 'JHN', 'San_1uan': 'JHN', 'Hechos': 'ACT', 'Romanos': 'ROM', '1Corintios': '1CO', '2Corintios': '2CO', 'Galatas': 'GAL', 'Efesios': 'EPH', 'Filipenses': 'PHP', 'Colosenses': 'COL', '1Tes': '1TH', '2Tes': '2TH', '1Timoteo': '1TI', '2Timoteo': '2TI', 'Tito': 'TIT', 'Filemon': 'PHM', 'Hebreos': 'HEB', 'Santiago': 'JAS', '1San_Pedro': '1PE', '2San_Pedro': '2PE', '1San_Juan': '1JN', '1San_1uan': '1JN', '2San_Juan': '2JN', '2San_1uan': '2JN', '3San_Juan': '3JN', '3San_1uan': '3JN', 'Judas': 'JUD', '1udas': 'JUD', 'Apocalipsis': 'REV', 'Genesis_Capitulo': 'GEN', 'Exodo_Capitulo': 'EXO', 'Levetico_Capitulo': 'LEV', 'Numeros_Capitulo': 'NUM', 'Deuteronomio_Capitulo': 'DEU', 'Josue_Capitulo': 'JOS', 'Jueces_Capitulo': 'JDG', 'Ruth_Capitulo': 'RUT', '1Samuel_Capitulo': '1SA', '2Samuel_Capitulo': '2SA', '1Reyes_Capitulo': '1KI', '2Reyes_Capitulo': '2KI', 'Esdras_Capitulo': 'EZR', 'Esther_Capitulo': 'EST', 'Job_Capitulo': 'JOB', 'Salmos_Capitulo': 'PSA', 'Proverbios_Capitulo': 'PRO', 'Isaias_Capitulo': 'ISA', 'Ezequiel_Capitulo': 'EZK', 'Daniel_Capitulo': 'DAN', 'Oseas_Capitulo': 'HOS', 'Joel_Capitulo': 'JOL', 'Amos_Capitulo': 'AMO', 'Abdias_Capitulo': 'OBA', 'Jonas_Capitulo': 'JON', 'Miqueas_Capitulo': 'MIC', 'Nahum_Capitulo': 'NAM', 'Habacuc_Capitulo': 'HAB', 'Sofonias_Capitulo': 'ZEP', 'GEN': 'GEN', 'EXO': 'EXO', 'LEV': 'LEV', 'NUM': 'NUM', 'DEU': 'DEU', 'JOS': 'JOS', 'JUE': 'JDG', '1SA': '1SA', '2SA': '2SA', '1RE': '1KI', '2RE': '2KI', '1CR': '1CH', '2CR': '2CH', 'ESD': 'EZR', 'NEH': 'NEH', 'JOB': 'JOB', 'SAL': 'PSA', 'PRO': 'PRO', 'ISA': 'ISA', 'EZE': 'EZK', 'DAN': 'DAN', 'JOE': 'JOL', 'AMO': 'AMO', 'MIQ': 'MIC', 'HAB': 'HAB', 'SOF': 'ZEP', 'ZAC': 'ZEC', 'MAL': 'MAL', 'Juizes': 'JDG', '1Reis': '1KI', '2Reis': '2KI', 'Neemias': 'NEH', 'Cantares': 'SNG', 'Lamentacoes': 'LAM', 'Obadias': 'OBA', 'Naum': 'NAM', 'Ageu': 'HAG', 'S_Mateus': 'MAT', 'S_Marcos': 'MRK', 'S_Lucas': 'LUK', 'S_Joao': 'JHN', 'Atos': 'ACT', 'Colossenses': 'COL', '1Tess': '1TH', '2Tess': '2TH', 'Hebreus': 'HEB', 'S_Tiago': 'JAS', '1Pedro': '1PE', '2Pedro': '2PE', '1S_Joao': '1JN', '2S_Joao': '2JN', '3S_Joao': '3JN', 'S_Judas': 'JUD', 'Apocalipse': 'REV', 'Genese': 'GEN', 'Exode': 'EXO', 'Levitique': 'LEV', 'Nombres': 'NUM', 'Deuteronome': 'DEU', 'Juges': 'JDG', '1Rois': '1KI', '2Rois': '2KI', '1Chroniques': '1CH', '2Chroniques': '2CH', 'Nehemie': 'NEH', 'Psaumes': 'PSA', 'Proverbes': 'PRO', 'Ecclesiaste': 'ECC', 'Cantiques': 'SNG', 'Esaie': 'ISA', 'Jeremie': 'JER', 'Lamentation': 'LAM', 'Osee': 'HOS', 'Michee': 'MIC', 'Sophonie': 'ZEP', 'Aggee': 'HAG', 'Zacharie': 'ZEC', 'Malachie': 'MAL', 'Matius': 'MAT', 'Markus': 'MRK', 'Lukas': 'LUK', 'Yohanes': 'JHN', 'Kisah_Rasul': 'ACT', 'Roma': 'ROM', '1Korintus': '1CO', '2Korintus': '2CO', 'Galatia': 'GAL', 'Efesus': 'EPH', 'Filipi': 'PHP', 'Kolose': 'COL', '1Tesalonika': '1TH', '2Tesalonika': '2TH', '1Timotius': '1TI', '2Timotius': '2TI', 'Ibrani': 'HEB', 'Yakobus': 'JAS', '1Petrus': '1PE', '2Petrus': '2PE', '1Yohanes': '1JN', '2Yohanes': '2JN', '3Yohanes': '3JN', 'Yudas': 'JUD', 'Wahyu': 'REV', 'Matthieu': 'MAT', 'Marc': 'MRK', 'Luc': 'LUK', 'Jean': 'JHN', 'Actes': 'ACT', 'Romains': 'ROM', '1Corinthiens': '1CO', '2Corinthiens': '2CO', 'Galates': 'GAL', 'Ephesiens': 'EPH', 'Philippiens': 'PHP', 'Colossiens': 'COL', '1Thess': '1TH', '2Thess': '2TH', '1Timothee': '1TI', '2Timothee': '2TI', 'Tite': 'TIT', 'Philemon': 'PHM', 'Hebreux': 'HEB', 'Jacques': 'JAS', '1Pierre': '1PE', '2Pierre': '2PE', '1Jean': '1JN', '2Jean': '2JN', '3Jean': '3JN', 'Jude': 'JUD', 'Apocalypse': 'REV', 'PONOGNAAN': 'GEN', 'YUNUS': 'JON', 'MARKUS': 'MRK', 'LUKAS': 'LUK', 'YAHIYA': 'JHN', 'MGA_GINANG': 'ACT', 'GALATIYA': 'GAL', 'EPESUS': 'EPH', 'PILIPI': 'PHP', 'KOLOSAS': 'COL', '1TESALONIKA': '1TH', '2TESALONIKA': '2TH', '1TIMUTI': '1TI', '2TIMUTI': '2TI', 'TITUS': 'TIT', 'YAKUB': 'JAS', 'Kejadian': 'GEN', 'Keluaran': 'EXO', 'Imamat': 'LEV', 'Bilangan': 'NUM', 'Ulangan': 'DEU', 'Yosua': 'JOS', 'Hakim-hakim': 'JDG', '1Raja-raja': '1KI', '2Raja-raja': '2KI', '1Tawarikh': '1CH', '2Tawarikh': '2CH', 'Nehemia': 'NEH', 'Ayub': 'JOB', 'Mazmur': 'PSA', 'Amsal': 'PRO', 'Pengkhotbah': 'ECC', 'Kidung': 'SNG', 'Yesaya': 'ISA', 'Yeremia': 'JER', 'Ratapan': 'LAM', 'Yehezkiel': 'EZK', 'Yoel': 'JOL', 'Obaja': 'OBA', 'Yunus': 'JON', 'Mikha': 'MIC', 'Habakuk': 'HAB', 'Zefanya': 'ZEP', 'Hagai': 'HAG', 'Zakharia': 'ZEC', 'Maleakhi': 'MAL'}
result = books.get(bookName, None)
return result
def traditional_ot(self, sequence):
traditional = {'A01': 'GEN', 'A02': 'EXO', 'A03': 'LEV', 'A04': 'NUM', 'A05': 'DEU', 'A06': 'JOS', 'A07': 'JDG', 'A08': 'RUT', 'A09': '1SA', 'A10': '2SA', 'A11': '1KI', 'A12': '2KI', 'A13': '1CH', 'A14': '2CH', 'A15': 'EZR', 'A16': 'NEH', 'A17': 'EST', 'A18': 'JOB', 'A19': 'PSA', 'A20': 'PRO', 'A21': 'ECC', 'A22': 'SNG', 'A23': 'ISA', 'A24': 'JER', 'A25': 'LAM', 'A26': 'EZK', 'A27': 'DAN', 'A28': 'HOS', 'A29': 'JOL', 'A30': 'AMO', 'A31': 'OBA', 'A32': 'JON', 'A33': 'MIC', 'A34': 'NAM', 'A35': 'HAB', 'A36': 'ZEP', 'A37': 'HAG', 'A38': 'ZEC', 'A39': 'MAL'}
return traditional.get(sequence, None)
def masoretic_christian_ot(self, sequence):
return self.TraditionalOT(sequence)
def hebrew_ot(self, sequence):
hebrew = {'A01': 'GEN', 'A02': 'EXO', 'A03': 'LEV', 'A04': 'NUM', 'A05': 'DEU', 'A06': 'JOS', 'A07': 'JDG', 'A08': '1SA', 'A09': '2SA', 'A10': '1KI', 'A11': '2KI', 'A12': 'ISA', 'A13': 'JER', 'A14': 'EZK', 'A15': 'HOS', 'A16': 'JOL', 'A17': 'AMO', 'A18': 'OBA', 'A19': 'JON', 'A20': 'MIC', 'A21': 'NAM', 'A22': 'HAB', 'A23': 'ZEP', 'A24': 'HAG', 'A25': 'ZEC', 'A26': 'MAL', 'A27': 'PSA', 'A28': 'PRO', 'A29': 'JOB', 'A30': 'SNG', 'A31': 'RUT', 'A32': 'LAM', 'A33': 'ECC', 'A34': 'EST', 'A35': 'DAN', 'A36': 'EZR', 'A37': 'NEH', 'A38': '1CH', 'A39': '2CH'}
return hebrew.get(sequence, None)
def masoretic_tanakh_ot(self, sequence):
return self.HebrewOT(sequence)
def catholic_ot(self, sequence):
catholic = {'A01': 'GEN', 'A02': 'EXO', 'A03': 'LEV', 'A04': 'NUM', 'A05': 'DEU', 'A06': 'JOS', 'A07': 'JDG', 'A08': 'RUT', 'A09': '1SA', 'A10': '2SA', 'A11': '1KI', 'A12': '2KI', 'A13': '1CH', 'A14': '2CH', 'A15': 'EZR', 'A16': 'NEH', 'A17': 'TOB', 'A18': 'JDT', 'A19': 'EST', 'A20': '1MA', 'A21': '2MA', 'A22': 'JOB', 'A23': 'PSA', 'A24': 'PRO', 'A25': 'ECC', 'A26': 'SNG', 'A27': 'WIS', 'A28': 'SIR', 'A29': 'ISA', 'A30': 'JER', 'A31': 'LAM', 'A32': 'BAR', 'A33': 'EZK', 'A34': 'DAG', 'A35': 'HOS', 'A36': 'JOL', 'A37': 'AMO', 'A38': 'OBA', 'A39': 'JON', 'A40': 'MIC', 'A41': 'NAM', 'A42': 'HAB', 'A43': 'ZEP', 'A44': 'HAG', 'A45': 'ZEC', 'A46': 'MAL'}
return catholic.get(sequence, None)
def vulgate_ot(self, sequence):
vulgate = {}
return vulgate.get(sequence, None)
def septuagint_ot(self, sequence):
septuagint = {'A01': 'GEN', 'A02': 'EXO', 'A03': 'LEV', 'A04': 'NUM', 'A05': 'DEU', 'A06': 'JOS', 'A07': 'JDG', 'A08': 'RUT', 'A09': '1SA', 'A10': '2SA', 'A11': '1KI', 'A12': '2KI', 'A13': '1CH', 'A14': '2CH', 'A15': 'EZA', 'A16': 'EZR', 'A17': 'NEH', 'A18': 'TOB', 'A19': 'JDT', 'A20': 'ESG', 'A21': '1MA', 'A22': '2MA', 'A23': '3MA', 'A24': 'PSA', 'A25': 'JOB', 'A26': 'PRO', 'A27': 'ECC', 'A28': 'SNG', 'A29': 'WIS', 'A30': 'SIR', 'A31': 'HOS', 'A32': 'AMO', 'A33': 'MIC', 'A34': 'JOL', 'A35': 'OBA', 'A36': 'JON', 'A37': 'NAM', 'A38': 'HAB', 'A39': 'ZEP', 'A40': 'HAG', 'A41': 'ZEC', 'A42': 'MAL', 'A43': 'ISA', 'A44': 'JER', 'A45': 'BAR', 'A46': 'LAM', 'A47': 'LJE', 'A48': 'EZK', 'A49': 'DAG', 'A50': '4MA'}
return septuagint.get(sequence, None)
def septuagint2_ot(self, sequence):
septuagint = {'A01': 'GEN', 'A02': 'EXO', 'A03': 'LEV', 'A04': 'NUM', 'A05': 'DEU', 'A06': 'JOS', 'A07': 'JDG', 'A08': 'RUT', 'A09': '1SA', 'A10': '2SA', 'A11': '1KI', 'A12': '2KI', 'A13': '1CH', 'A14': '2CH', 'A15': 'EZA', 'A16': 'EZR', 'A17': 'NEH', 'A18': 'TOB', 'A19': 'JDT', 'A20': 'ESG', 'A21': '1MA', 'A22': '2MA', 'A23': '3MA', 'A24': 'PSA', 'A25': 'PS2', 'A26': 'JOB', 'A27': 'PRO', 'A28': 'ECC', 'A29': 'SNG', 'A30': 'WIS', 'A31': 'SIR', 'A32': 'HOS', 'A33': 'AMO', 'A34': 'MIC', 'A35': 'JOL', 'A36': 'OBA', 'A37': 'JON', 'A38': 'NAM', 'A39': 'HAB', 'A40': 'ZEP', 'A41': 'HAG', 'A42': 'ZEC', 'A43': 'MAL', 'A44': 'ISA', 'A45': 'JER', 'A46': 'BAR', 'A47': 'LAM', 'A48': 'LJE', 'A49': 'EZK', 'A50': 'DAG', 'A51': 'SUS', 'A52': '4MA'}
return septuagint.get(sequence, None)
def dutch_traditional_ot(self, sequence):
dutch = {}
return dutch.get(sequence, None)
def trnntmot(self, sequence):
trnntm = {'A01': 'GEN', 'A02': 'EXO', 'A03': 'LEV', 'A04': 'NUM', 'A05': 'DEU', 'A06': 'JOS', 'A07': 'JDG', 'A08': 'RUT', 'A09': '1SA', 'A10': '2SA', 'A11': '1CH', 'A12': '2CH', 'A13': '2KI', 'A14': 'ISA', 'A15': 'JER', 'A16': 'MIC', 'A17': 'HOS', 'A18': 'PSA', 'A19': 'ZEC', 'A20': 'JON'}
return trnntm.get(sequence, None)
def traditional_nt(self, sequence):
traditional = {'B01': 'MAT', 'B02': 'MRK', 'B03': 'LUK', 'B04': 'JHN', 'B05': 'ACT', 'B06': 'ROM', 'B07': '1CO', 'B08': '2CO', 'B09': 'GAL', 'B10': 'EPH', 'B11': 'PHP', 'B12': 'COL', 'B13': '1TH', 'B14': '2TH', 'B15': '1TI', 'B16': '2TI', 'B17': 'TIT', 'B18': 'PHM', 'B19': 'HEB', 'B20': 'JAS', 'B21': '1PE', 'B22': '2PE', 'B23': '1JN', 'B24': '2JN', 'B25': '3JN', 'B26': 'JUD', 'B27': 'REV'}
return traditional.get(sequence, None)
def russian_nt(self, sequence):
russian = {'B01': 'MAT', 'B02': 'MRK', 'B03': 'LUK', 'B04': 'JHN', 'B05': 'ACT', 'B06': 'JAS', 'B07': '1PE', 'B08': '2PE', 'B09': '1JN', 'B10': '2JN', 'B11': '3JN', 'B12': 'JUD', 'B13': 'ROM', 'B14': '1CO', 'B15': '2CO', 'B16': 'GAL', 'B17': 'EPH', 'B18': 'PHP', 'B19': 'COL', 'B20': '1TH', 'B21': '2TH', 'B22': '1TI', 'B23': '2TI', 'B24': 'TIT', 'B25': 'PHM', 'B26': 'HEB', 'B27': 'REV'}
return russian.get(sequence, None)
def plautdietsch_nt(self, sequence):
diestsch = {'B01': 'MAT', 'B02': 'MRK', 'B03': 'LUK', 'B04': 'JHN', 'B05': 'ACT', 'B06': 'ROM', 'B07': '1CO', 'B08': '2CO', 'B09': 'GAL', 'B10': 'EPH', 'B11': 'PHP', 'B12': 'COL', 'B13': '1TH', 'B14': '2TH', 'B15': '1TI', 'B16': '2TI', 'B17': 'TIT', 'B18': 'PHM', 'B19': '1PE', 'B20': '2PE', 'B21': '1JN', 'B22': '2JN', 'B23': '3JN', 'B24': 'HEB', 'B25': 'JAS', 'B26': 'JUD', 'B27': 'REV'}
return diestsch.get(sequence, None)
def finnish_nt(self, sequence):
finnish = {'B01': 'MAT', 'B02': 'MRK', 'B03': 'LUK', 'B04': 'JHN', 'B05': 'ACT', 'B06': 'ROM', 'B07': '1CO', 'B08': '2CO', 'B09': 'GAL', 'B10': 'EPH', 'B11': 'PHP', 'B12': 'COL', 'B13': '1TH', 'B14': '2TH', 'B15': '1TI', 'B16': '2TI', 'B17': 'TIT', 'B18': 'PHM', 'B19': 'HEB', 'B20': '1PE', 'B21': '2PE', 'B22': '1JN', 'B23': '2JN', 'B24': '3JN', 'B25': 'JAS', 'B26': 'JUD', 'B27': 'REV'}
return finnish.get(sequence, None) |
# pylint: disable=missing-function-docstring, missing-module-docstring/
a = 4
a += 5.0
| a = 4
a += 5.0 |
# encoding: utf-8
class FastCGIError(Exception):
pass
# Values for type component of FCGI_Header
FCGI_BEGIN_REQUEST = 1
FCGI_ABORT_REQUEST = 2
FCGI_END_REQUEST = 3
FCGI_PARAMS = 4
FCGI_STDIN = 5
FCGI_STDOUT = 6
FCGI_STDERR = 7
FCGI_DATA = 8
FCGI_GET_VALUES = 9
FCGI_GET_VALUES_RESULT = 10
FCGI_UNKNOWN_TYPE = 11
typeNames = {
FCGI_BEGIN_REQUEST : 'fcgi_begin_request',
FCGI_ABORT_REQUEST : 'fcgi_abort_request',
FCGI_END_REQUEST : 'fcgi_end_request',
FCGI_PARAMS : 'fcgi_params',
FCGI_STDIN : 'fcgi_stdin',
FCGI_STDOUT : 'fcgi_stdout',
FCGI_STDERR : 'fcgi_stderr',
FCGI_DATA : 'fcgi_data',
FCGI_GET_VALUES : 'fcgi_get_values',
FCGI_GET_VALUES_RESULT: 'fcgi_get_values_result',
FCGI_UNKNOWN_TYPE : 'fcgi_unknown_type'}
# Mask for flags component of FCGI_BeginRequestBody
FCGI_KEEP_CONN = 1
# Values for role component of FCGI_BeginRequestBody
FCGI_RESPONDER = 1
FCGI_AUTHORIZER = 2
FCGI_FILTER = 3
# Values for protocolStatus component of FCGI_EndRequestBody
FCGI_REQUEST_COMPLETE = 0
FCGI_CANT_MPX_CONN = 1
FCGI_OVERLOADED = 2
FCGI_UNKNOWN_ROLE = 3
FCGI_MAX_PACKET_LEN = 0xFFFF
class Record(object):
def __init__(self, type, reqId, content='', version=1):
self.version = version
self.type = type
self.reqId = reqId
self.content = content
self.length = len(content)
if self.length > FCGI_MAX_PACKET_LEN:
raise ValueError("Record length too long: %d > %d" %
(self.length, FCGI_MAX_PACKET_LEN))
if self.length % 8 != 0:
self.padding = 8 - (self.length & 7)
else:
self.padding = 0
self.reserved = 0
def fromHeaderString(clz, rec):
self = object.__new__(clz)
self.version = ord(rec[0])
self.type = ord(rec[1])
self.reqId = (ord(rec[2])<<8)|ord(rec[3])
self.length = (ord(rec[4])<<8)|ord(rec[5])
self.padding = ord(rec[6])
self.reserved = ord(rec[7])
self.content = None
return self
fromHeaderString = classmethod(fromHeaderString)
def toOutputString(self):
return "%c%c%c%c%c%c%c%c" % (
self.version, self.type,
(self.reqId&0xFF00)>>8, self.reqId&0xFF,
(self.length&0xFF00)>>8, self.length & 0xFF,
self.padding, self.reserved) + self.content + '\0'*self.padding
def totalLength(self):
return 8 + self.length + self.padding
def __repr__(self):
return "<FastCGIRecord version=%d type=%d(%s) reqId=%d>" % (
self.version, self.type, typeNames.get(self.type), self.reqId)
def parseNameValues(s):
'''
@param s: String containing valid name/value data, of the form:
'namelength + valuelength + name + value' repeated 0 or more
times. See C{fastcgi.writeNameValue} for how to create this
string.
@return: Generator of tuples of the form (name, value)
'''
off = 0
while off < len(s):
nameLen = ord(s[off])
off += 1
if nameLen&0x80:
nameLen=(nameLen&0x7F)<<24 | ord(s[off])<<16 | ord(s[off+1])<<8 | ord(s[off+2])
off += 3
valueLen=ord(s[off])
off += 1
if valueLen&0x80:
valueLen=(valueLen&0x7F)<<24 | ord(s[off])<<16 | ord(s[off+1])<<8 | ord(s[off+2])
off += 3
yield (s[off:off+nameLen], s[off+nameLen:off+nameLen+valueLen])
off += nameLen + valueLen
def getLenBytes(length):
if length<0x80:
return chr(length)
elif 0 < length <= 0x7FFFFFFF:
return (chr(0x80|(length>>24)&0x7F) + chr((length>>16)&0xFF) +
chr((length>>8)&0xFF) + chr(length&0xFF))
else:
raise ValueError("Name length too long.")
def writeNameValue(name, value):
return getLenBytes(len(name)) + getLenBytes(len(value)) + name + value
class Channel(object):
maxConnections = 100
reqId = 0
request = None
## High level protocol
def packetReceived(self, packet):
'''
@param packet: instance of C{fastcgi.Record}.
@raise: FastCGIError on invalid version or where the type does not exist
in funName
'''
if packet.version != 1:
raise FastCGIError("FastCGI packet received with version != 1")
funName = typeNames.get(packet.type)
if funName is None:
raise FastCGIError("Unknown FastCGI packet type: %d" % packet.type)
getattr(self, funName)(packet)
def fcgi_get_values(self, packet):
if packet.reqId != 0:
raise ValueError("Should be 0!")
content = ""
for name,value in parseNameValues(packet.content):
outval = None
if name == "FCGI_MAX_CONNS":
outval = str(self.maxConnections)
elif name == "FCGI_MAX_REQS":
outval = str(self.maxConnections)
elif name == "FCGI_MPXS_CONNS":
outval = "0"
if outval:
content += writeNameValue(name, outval)
self.writePacket(Record(FCGI_GET_VALUES_RESULT, 0, content))
def fcgi_unknown_type(self, packet):
# Unused, reserved for future expansion
pass
def fcgi_begin_request(self, packet):
role = ord(packet.content[0])<<8 | ord(packet.content[1])
flags = ord(packet.content[2])
if packet.reqId == 0:
raise ValueError("ReqId shouldn't be 0!")
if self.reqId != 0:
self.writePacket(Record(FCGI_END_REQUEST, self.reqId,
"\0\0\0\0"+chr(FCGI_CANT_MPX_CONN)+"\0\0\0"))
if role != FCGI_RESPONDER:
self.writePacket(Record(FCGI_END_REQUEST, self.reqId,
"\0\0\0\0"+chr(FCGI_UNKNOWN_ROLE)+"\0\0\0"))
self.reqId = packet.reqId
self.keepalive = flags & FCGI_KEEP_CONN
self.params = ""
def fcgi_abort_request(self, packet):
if packet.reqId != self.reqId:
return
self.request.connectionLost()
def fcgi_params(self, packet):
if packet.reqId != self.reqId:
return
# I don't feel like doing the work to incrementally parse this stupid
# protocol, so we'll just buffer all the params data before parsing.
if not packet.content:
self.makeRequest(dict(parseNameValues(self.params)))
self.request.process()
self.params += packet.content
def fcgi_stdin(self, packet):
if packet.reqId != self.reqId:
return
if not packet.content:
self.request.handleContentComplete()
else:
self.request.handleContentChunk(packet.content)
def fcgi_data(self, packet):
# For filter roles only, which is currently unsupported.
pass
def write(self, data):
if len(data) > FCGI_MAX_PACKET_LEN:
n = 0
while 1:
d = data[n*FCGI_MAX_PACKET_LEN:(n+1)*FCGI_MAX_PACKET_LEN]
if not d:
break
self.write(d)
return
self.writePacket(Record(FCGI_STDOUT, self.reqId, data))
def writeHeaders(self, code, headers):
l = []
code_message = responsecode.RESPONSES.get(code, "Unknown Status")
l.append("Status: %s %s\n" % (code, code_message))
if headers is not None:
for name, valuelist in headers.getAllRawHeaders():
for value in valuelist:
l.append("%s: %s\n" % (name, value))
l.append('\n')
self.write(''.join(l))
def finish(self):
if self.request is None:
raise RuntimeError("Request.finish called when no request was outstanding.")
self.writePacket(Record(FCGI_END_REQUEST, self.reqId,
"\0\0\0\0"+chr(FCGI_REQUEST_COMPLETE)+"\0\0\0"))
del self.reqId, self.request
if not self.keepalive:
self.transport.loseConnection()
## Low level protocol
paused = False
_lastRecord = None
recvd = ""
def writePacket(self, packet):
data = packet.toOutputString()
#print "Writing record", packet, repr(data)
self.sock.sendall(data)
def read(self, length):
s = ''
while len(s) < length:
s = self.sock.recv(length-len(s))
return s
def readPacket(self, tryrecv=False):
if tryrecv:
try:
self.sock.setblocking(0)
s = self.sock.recv(8)
finally:
self.sock.setblocking(1)
if len(s) < 8:
s += self.read(8-len(s))
else:
s = self.read(8)
record = Record.fromHeaderString(s)
if record.length:
record.content = self.read(record.length)
if record.padding:
self.read(record.padding)
return record
def dataReceived(self, recd):
self.recvd = self.recvd + recd
record = self._lastRecord
self._lastRecord = None
while len(self.recvd) >= 8 and not self.paused:
if record is None:
record = Record.fromHeaderString(self.recvd[:8])
if len(self.recvd) < record.totalLength():
self._lastRecord = record
break
record.content = self.recvd[8:record.length+8]
self.recvd = self.recvd[record.totalLength():]
self.packetReceived(record)
record = None
def pauseProducing(self):
self.paused = True
self.transport.pauseProducing()
def resumeProducing(self):
self.paused = False
self.transport.resumeProducing()
self.dataReceived('')
def stopProducing(self):
self.paused = True
self.transport.stopProducing()
| class Fastcgierror(Exception):
pass
fcgi_begin_request = 1
fcgi_abort_request = 2
fcgi_end_request = 3
fcgi_params = 4
fcgi_stdin = 5
fcgi_stdout = 6
fcgi_stderr = 7
fcgi_data = 8
fcgi_get_values = 9
fcgi_get_values_result = 10
fcgi_unknown_type = 11
type_names = {FCGI_BEGIN_REQUEST: 'fcgi_begin_request', FCGI_ABORT_REQUEST: 'fcgi_abort_request', FCGI_END_REQUEST: 'fcgi_end_request', FCGI_PARAMS: 'fcgi_params', FCGI_STDIN: 'fcgi_stdin', FCGI_STDOUT: 'fcgi_stdout', FCGI_STDERR: 'fcgi_stderr', FCGI_DATA: 'fcgi_data', FCGI_GET_VALUES: 'fcgi_get_values', FCGI_GET_VALUES_RESULT: 'fcgi_get_values_result', FCGI_UNKNOWN_TYPE: 'fcgi_unknown_type'}
fcgi_keep_conn = 1
fcgi_responder = 1
fcgi_authorizer = 2
fcgi_filter = 3
fcgi_request_complete = 0
fcgi_cant_mpx_conn = 1
fcgi_overloaded = 2
fcgi_unknown_role = 3
fcgi_max_packet_len = 65535
class Record(object):
def __init__(self, type, reqId, content='', version=1):
self.version = version
self.type = type
self.reqId = reqId
self.content = content
self.length = len(content)
if self.length > FCGI_MAX_PACKET_LEN:
raise value_error('Record length too long: %d > %d' % (self.length, FCGI_MAX_PACKET_LEN))
if self.length % 8 != 0:
self.padding = 8 - (self.length & 7)
else:
self.padding = 0
self.reserved = 0
def from_header_string(clz, rec):
self = object.__new__(clz)
self.version = ord(rec[0])
self.type = ord(rec[1])
self.reqId = ord(rec[2]) << 8 | ord(rec[3])
self.length = ord(rec[4]) << 8 | ord(rec[5])
self.padding = ord(rec[6])
self.reserved = ord(rec[7])
self.content = None
return self
from_header_string = classmethod(fromHeaderString)
def to_output_string(self):
return '%c%c%c%c%c%c%c%c' % (self.version, self.type, (self.reqId & 65280) >> 8, self.reqId & 255, (self.length & 65280) >> 8, self.length & 255, self.padding, self.reserved) + self.content + '\x00' * self.padding
def total_length(self):
return 8 + self.length + self.padding
def __repr__(self):
return '<FastCGIRecord version=%d type=%d(%s) reqId=%d>' % (self.version, self.type, typeNames.get(self.type), self.reqId)
def parse_name_values(s):
"""
@param s: String containing valid name/value data, of the form:
'namelength + valuelength + name + value' repeated 0 or more
times. See C{fastcgi.writeNameValue} for how to create this
string.
@return: Generator of tuples of the form (name, value)
"""
off = 0
while off < len(s):
name_len = ord(s[off])
off += 1
if nameLen & 128:
name_len = (nameLen & 127) << 24 | ord(s[off]) << 16 | ord(s[off + 1]) << 8 | ord(s[off + 2])
off += 3
value_len = ord(s[off])
off += 1
if valueLen & 128:
value_len = (valueLen & 127) << 24 | ord(s[off]) << 16 | ord(s[off + 1]) << 8 | ord(s[off + 2])
off += 3
yield (s[off:off + nameLen], s[off + nameLen:off + nameLen + valueLen])
off += nameLen + valueLen
def get_len_bytes(length):
if length < 128:
return chr(length)
elif 0 < length <= 2147483647:
return chr(128 | length >> 24 & 127) + chr(length >> 16 & 255) + chr(length >> 8 & 255) + chr(length & 255)
else:
raise value_error('Name length too long.')
def write_name_value(name, value):
return get_len_bytes(len(name)) + get_len_bytes(len(value)) + name + value
class Channel(object):
max_connections = 100
req_id = 0
request = None
def packet_received(self, packet):
"""
@param packet: instance of C{fastcgi.Record}.
@raise: FastCGIError on invalid version or where the type does not exist
in funName
"""
if packet.version != 1:
raise fast_cgi_error('FastCGI packet received with version != 1')
fun_name = typeNames.get(packet.type)
if funName is None:
raise fast_cgi_error('Unknown FastCGI packet type: %d' % packet.type)
getattr(self, funName)(packet)
def fcgi_get_values(self, packet):
if packet.reqId != 0:
raise value_error('Should be 0!')
content = ''
for (name, value) in parse_name_values(packet.content):
outval = None
if name == 'FCGI_MAX_CONNS':
outval = str(self.maxConnections)
elif name == 'FCGI_MAX_REQS':
outval = str(self.maxConnections)
elif name == 'FCGI_MPXS_CONNS':
outval = '0'
if outval:
content += write_name_value(name, outval)
self.writePacket(record(FCGI_GET_VALUES_RESULT, 0, content))
def fcgi_unknown_type(self, packet):
pass
def fcgi_begin_request(self, packet):
role = ord(packet.content[0]) << 8 | ord(packet.content[1])
flags = ord(packet.content[2])
if packet.reqId == 0:
raise value_error("ReqId shouldn't be 0!")
if self.reqId != 0:
self.writePacket(record(FCGI_END_REQUEST, self.reqId, '\x00\x00\x00\x00' + chr(FCGI_CANT_MPX_CONN) + '\x00\x00\x00'))
if role != FCGI_RESPONDER:
self.writePacket(record(FCGI_END_REQUEST, self.reqId, '\x00\x00\x00\x00' + chr(FCGI_UNKNOWN_ROLE) + '\x00\x00\x00'))
self.reqId = packet.reqId
self.keepalive = flags & FCGI_KEEP_CONN
self.params = ''
def fcgi_abort_request(self, packet):
if packet.reqId != self.reqId:
return
self.request.connectionLost()
def fcgi_params(self, packet):
if packet.reqId != self.reqId:
return
if not packet.content:
self.makeRequest(dict(parse_name_values(self.params)))
self.request.process()
self.params += packet.content
def fcgi_stdin(self, packet):
if packet.reqId != self.reqId:
return
if not packet.content:
self.request.handleContentComplete()
else:
self.request.handleContentChunk(packet.content)
def fcgi_data(self, packet):
pass
def write(self, data):
if len(data) > FCGI_MAX_PACKET_LEN:
n = 0
while 1:
d = data[n * FCGI_MAX_PACKET_LEN:(n + 1) * FCGI_MAX_PACKET_LEN]
if not d:
break
self.write(d)
return
self.writePacket(record(FCGI_STDOUT, self.reqId, data))
def write_headers(self, code, headers):
l = []
code_message = responsecode.RESPONSES.get(code, 'Unknown Status')
l.append('Status: %s %s\n' % (code, code_message))
if headers is not None:
for (name, valuelist) in headers.getAllRawHeaders():
for value in valuelist:
l.append('%s: %s\n' % (name, value))
l.append('\n')
self.write(''.join(l))
def finish(self):
if self.request is None:
raise runtime_error('Request.finish called when no request was outstanding.')
self.writePacket(record(FCGI_END_REQUEST, self.reqId, '\x00\x00\x00\x00' + chr(FCGI_REQUEST_COMPLETE) + '\x00\x00\x00'))
del self.reqId, self.request
if not self.keepalive:
self.transport.loseConnection()
paused = False
_last_record = None
recvd = ''
def write_packet(self, packet):
data = packet.toOutputString()
self.sock.sendall(data)
def read(self, length):
s = ''
while len(s) < length:
s = self.sock.recv(length - len(s))
return s
def read_packet(self, tryrecv=False):
if tryrecv:
try:
self.sock.setblocking(0)
s = self.sock.recv(8)
finally:
self.sock.setblocking(1)
if len(s) < 8:
s += self.read(8 - len(s))
else:
s = self.read(8)
record = Record.fromHeaderString(s)
if record.length:
record.content = self.read(record.length)
if record.padding:
self.read(record.padding)
return record
def data_received(self, recd):
self.recvd = self.recvd + recd
record = self._lastRecord
self._lastRecord = None
while len(self.recvd) >= 8 and (not self.paused):
if record is None:
record = Record.fromHeaderString(self.recvd[:8])
if len(self.recvd) < record.totalLength():
self._lastRecord = record
break
record.content = self.recvd[8:record.length + 8]
self.recvd = self.recvd[record.totalLength():]
self.packetReceived(record)
record = None
def pause_producing(self):
self.paused = True
self.transport.pauseProducing()
def resume_producing(self):
self.paused = False
self.transport.resumeProducing()
self.dataReceived('')
def stop_producing(self):
self.paused = True
self.transport.stopProducing() |
match x:
case Class( ):
pass
case Class( foo=1 ):
pass
case Class( foo=1, bar=2 ):
pass
case Class( foo=1, bar=2, ):
pass
| match x:
case Class():
pass
case Class(foo=1):
pass
case Class(foo=1, bar=2):
pass
case Class(foo=1, bar=2):
pass |
def deep_flatten(in_list):
out_list = []
for i in in_list:
if type(i) == str:
out_list.append(i)
elif hasattr(i,'__iter__'):
out_list.extend(deep_flatten(i))
else:
out_list.append(i)
return out_list
a = [(1,2),3,4,5,[4,4,5,6]]
a = [['cats', ['carl', 'cate']],['dogs', ['darlene', 'doug']]]
b = deep_flatten(a)
print(b) | def deep_flatten(in_list):
out_list = []
for i in in_list:
if type(i) == str:
out_list.append(i)
elif hasattr(i, '__iter__'):
out_list.extend(deep_flatten(i))
else:
out_list.append(i)
return out_list
a = [(1, 2), 3, 4, 5, [4, 4, 5, 6]]
a = [['cats', ['carl', 'cate']], ['dogs', ['darlene', 'doug']]]
b = deep_flatten(a)
print(b) |
# Default constants
DF_ADSB = 17
LAT_REF = 44.807047 # TODO put reference values
LONG_REF = -0.605526
NZ=15
# Default variables
fe=20*10**6; Te=1/fe
Ds=1*10**6; Ts=1/Ds
Fse=int(round(Ts/Te))
Ns=112 # Number of points of the signal : 1000, 112
Nfft=512 # Number of points of FFT
# Default TEB parameters
SIG_NB_ERROR = 100
MAX_COUNT = 500
Nteb = 11 # OK step of 1 db
# Default sync parameters
Tp = 8*(10**(-6))
Fpe = int(round(Tp/Te))
# Init operators to modify default config
def init_ref(lat_ref, long_ref):
LAT_REF = lat_ref
LONG_REF = long_ref
def init_fe(in_fe): # better : do lamda functions for variable recalculations
fe=in_fe; Te=1/fe
Fse=int(round(Ts/Te))
Fpe = int(round(Tp/Te))
| df_adsb = 17
lat_ref = 44.807047
long_ref = -0.605526
nz = 15
fe = 20 * 10 ** 6
te = 1 / fe
ds = 1 * 10 ** 6
ts = 1 / Ds
fse = int(round(Ts / Te))
ns = 112
nfft = 512
sig_nb_error = 100
max_count = 500
nteb = 11
tp = 8 * 10 ** (-6)
fpe = int(round(Tp / Te))
def init_ref(lat_ref, long_ref):
lat_ref = lat_ref
long_ref = long_ref
def init_fe(in_fe):
fe = in_fe
te = 1 / fe
fse = int(round(Ts / Te))
fpe = int(round(Tp / Te)) |
# names of hurricanes
names = ['Cuba I', 'San Felipe II Okeechobee', 'Bahamas', 'Cuba II', 'CubaBrownsville', 'Tampico', 'Labor Day', 'New England', 'Carol', 'Janet', 'Carla', 'Hattie', 'Beulah', 'Camille', 'Edith', 'Anita', 'David', 'Allen', 'Gilbert', 'Hugo', 'Andrew', 'Mitch', 'Isabel', 'Ivan', 'Emily', 'Katrina', 'Rita', 'Wilma', 'Dean', 'Felix', 'Matthew', 'Irma', 'Maria', 'Michael']
# months of hurricanes
months = ['October', 'September', 'September', 'November', 'August', 'September', 'September', 'September', 'September', 'September', 'September', 'October', 'September', 'August', 'September', 'September', 'August', 'August', 'September', 'September', 'August', 'October', 'September', 'September', 'July', 'August', 'September', 'October', 'August', 'September', 'October', 'September', 'September', 'October']
# years of hurricanes
years = [1924, 1928, 1932, 1932, 1933, 1933, 1935, 1938, 1953, 1955, 1961, 1961, 1967, 1969, 1971, 1977, 1979, 1980, 1988, 1989, 1992, 1998, 2003, 2004, 2005, 2005, 2005, 2005, 2007, 2007, 2016, 2017, 2017, 2018]
# maximum sustained winds (mph) of hurricanes
max_sustained_winds = [165, 160, 160, 175, 160, 160, 185, 160, 160, 175, 175, 160, 160, 175, 160, 175, 175, 190, 185, 160, 175, 180, 165, 165, 160, 175, 180, 185, 175, 175, 165, 180, 175, 160]
# areas affected by each hurricane
areas_affected = [['Central America', 'Mexico', 'Cuba', 'Florida', 'The Bahamas'], ['Lesser Antilles', 'The Bahamas', 'United States East Coast', 'Atlantic Canada'], ['The Bahamas', 'Northeastern United States'], ['Lesser Antilles', 'Jamaica', 'Cayman Islands', 'Cuba', 'The Bahamas', 'Bermuda'], ['The Bahamas', 'Cuba', 'Florida', 'Texas', 'Tamaulipas'], ['Jamaica', 'Yucatn Peninsula'], ['The Bahamas', 'Florida', 'Georgia', 'The Carolinas', 'Virginia'], ['Southeastern United States', 'Northeastern United States', 'Southwestern Quebec'], ['Bermuda', 'New England', 'Atlantic Canada'], ['Lesser Antilles', 'Central America'], ['Texas', 'Louisiana', 'Midwestern United States'], ['Central America'], ['The Caribbean', 'Mexico', 'Texas'], ['Cuba', 'United States Gulf Coast'], ['The Caribbean', 'Central America', 'Mexico', 'United States Gulf Coast'], ['Mexico'], ['The Caribbean', 'United States East coast'], ['The Caribbean', 'Yucatn Peninsula', 'Mexico', 'South Texas'], ['Jamaica', 'Venezuela', 'Central America', 'Hispaniola', 'Mexico'], ['The Caribbean', 'United States East Coast'], ['The Bahamas', 'Florida', 'United States Gulf Coast'], ['Central America', 'Yucatn Peninsula', 'South Florida'], ['Greater Antilles', 'Bahamas', 'Eastern United States', 'Ontario'], ['The Caribbean', 'Venezuela', 'United States Gulf Coast'], ['Windward Islands', 'Jamaica', 'Mexico', 'Texas'], ['Bahamas', 'United States Gulf Coast'], ['Cuba', 'United States Gulf Coast'], ['Greater Antilles', 'Central America', 'Florida'], ['The Caribbean', 'Central America'], ['Nicaragua', 'Honduras'], ['Antilles', 'Venezuela', 'Colombia', 'United States East Coast', 'Atlantic Canada'], ['Cape Verde', 'The Caribbean', 'British Virgin Islands', 'U.S. Virgin Islands', 'Cuba', 'Florida'], ['Lesser Antilles', 'Virgin Islands', 'Puerto Rico', 'Dominican Republic', 'Turks and Caicos Islands'], ['Central America', 'United States Gulf Coast (especially Florida Panhandle)']]
# damages (USD($)) of hurricanes
damages = ['Damages not recorded', '100M', 'Damages not recorded', '40M', '27.9M', '5M', 'Damages not recorded', '306M', '2M', '65.8M', '326M', '60.3M', '208M', '1.42B', '25.4M', 'Damages not recorded', '1.54B', '1.24B', '7.1B', '10B', '26.5B', '6.2B', '5.37B', '23.3B', '1.01B', '125B', '12B', '29.4B', '1.76B', '720M', '15.1B', '64.8B', '91.6B', '25.1B']
# deaths for each hurricane
deaths = [90,4000,16,3103,179,184,408,682,5,1023,43,319,688,259,37,11,2068,269,318,107,65,19325,51,124,17,1836,125,87,45,133,603,138,3057,74]
# 1
# Update Recorded Damages
conversion = {"M": 1000000,
"B": 1000000000}
def convert_values(item):
if item == "Damages not recorded":
return "Damages not recorded"
elif item[-1] == 'M':
return int(float(item[:-1]) * 1000000)
elif item[-1] == 'B':
return int(float(item[:-1]) * 1000000000)
# test function by updating damages
damages = list(map(convert_values, damages))
print(damages)
print("*****************************************************")
# 2
# Create a Table
hurricane_dictionary = {}
for index in range(len(names)):
hurricane_dictionary[names[index]] = {'Name': names[index], 'Month':months[index], 'Year': years[index], 'Max Sustained Wind': max_sustained_winds[index], 'Areas Affected': areas_affected[index], 'Damage': damages[index], 'Deaths': deaths[index]}
print(hurricane_dictionary)
print("*****************************************************")
# Create and view the hurricanes dictionary
new_dictionary = {}
def organize_by_year(hurricanes):
hurricanes_by_year= dict()
for cane in hurricanes:
current_year = hurricanes[cane]['Year']
current_cane = hurricanes[cane]
if current_year not in hurricanes_by_year:
hurricanes_by_year[current_year] = [current_cane]
else:
hurricanes_by_year[current_year].append(current_cane)
return hurricanes_by_year
hurricanes_by_year = organize_by_year(hurricane_dictionary)
print(organize_by_year(hurricane_dictionary))
# 3
# Organizing by Year
# create a new dictionary of hurricanes with year and key
print("*****************************************************")
# 4
# Counting Damaged Areas
def organize_areas_by_count(hurricanes):
hurricanes_by_area = dict()
for cane in hurricanes:
current_areas = hurricanes[cane]['Areas Affected']
for area in current_areas:
if area not in hurricanes_by_area:
hurricanes_by_area[area] = 1
else:
hurricanes_by_area[area] += 1
return hurricanes_by_area
print(organize_areas_by_count(hurricane_dictionary))
# create dictionary of areas to store the number of hurricanes involved in
# 5
# Calculating Maximum Hurricane Count
def find_most_affected(hurricanes):
return list(organize_areas_by_count(hurricanes).items())[0]
# find most frequently affected area and the number of hurricanes involved in
print(find_most_affected(hurricane_dictionary))
print("*****************************************************")
# 6
# Calculating the Deadliest Hurricane
print(hurricane_dictionary)
def find_most_deaths(hurricanes):
highest_death = {'Deaths': 0}
for cane in hurricanes:
if hurricanes[cane].get('Deaths', 0) > int(list(highest_death.values())[0]):
highest_death = {hurricanes[cane]['Name']: hurricanes[cane]['Deaths']}
return highest_death
# find highest mortality hurricane and the number of deaths
print("The deadliest hurricane and the number of deaths: " + str(find_most_deaths(hurricane_dictionary)))
# 7
# Rating Hurricanes by Mortality
print("*****************************************************")
def rate_by_mortality(hurricanes):
new_dictionary = {0:[], 1:[], 2:[], 3:[], 4:[]}
for cane in hurricanes:
if hurricanes[cane]['Deaths'] == 0:
new_dictionary[0].append(hurricanes[cane])
elif hurricanes[cane]['Deaths'] <= 100:
new_dictionary[1].append(hurricanes[cane])
elif hurricanes[cane]['Deaths'] <= 500:
new_dictionary[2].append(hurricanes[cane])
elif hurricanes[cane]['Deaths'] <= 1000:
new_dictionary[3].append(hurricanes[cane])
elif hurricanes[cane]['Deaths'] <= 10000:
new_dictionary[4].append(hurricanes[cane])
return new_dictionary
print(rate_by_mortality(hurricane_dictionary))
# categorize hurricanes in new dictionary with mortality severity as key
print("*****************************************************")
# 8 Calculating Hurricane Maximum Damage
def find_most_damage(hurricanes):
highest_death = {'Damage': 0}
for cane in hurricanes:
if hurricanes[cane]['Damage'] == "Damages not recorded":
continue
elif hurricanes[cane]['Damage'] > int(list(highest_death.values())[0]):
highest_death = {hurricanes[cane]['Name']: hurricanes[cane]['Damage']}
return highest_death
# find highest damage inducing hurricane and its total cost
print("The most damaging hurricane and its damages: " + str(find_most_damage(hurricane_dictionary)))
# 9
# Rating Hurricanes by Damage
damage_scale = {0: 0,
1: 100000000,
2: 1000000000,
3: 10000000000,
4: 50000000000}
print("*****************************************************")
def rate_by_damages(hurricanes):
new_dictionary = {0:[], 1:[], 2:[], 3:[], 4:[]}
for cane in hurricanes:
if hurricanes[cane]['Damage'] == 'Damages not recorded':
new_dictionary[0].append(hurricanes[cane])
elif hurricanes[cane]['Damage'] == 0:
new_dictionary[0].append(hurricanes[cane])
elif hurricanes[cane]['Damage'] <= 100000000:
new_dictionary[1].append(hurricanes[cane])
elif hurricanes[cane]['Damage'] <= 1000000000:
new_dictionary[2].append(hurricanes[cane])
elif hurricanes[cane]['Damage'] <= 10000000000:
new_dictionary[3].append(hurricanes[cane])
elif hurricanes[cane]['Damage'] <= 50000000000:
new_dictionary[4].append(hurricanes[cane])
return new_dictionary
print(rate_by_damages(hurricane_dictionary))
# categorize hurricanes in new dictionary with damage severity as key
| names = ['Cuba I', 'San Felipe II Okeechobee', 'Bahamas', 'Cuba II', 'CubaBrownsville', 'Tampico', 'Labor Day', 'New England', 'Carol', 'Janet', 'Carla', 'Hattie', 'Beulah', 'Camille', 'Edith', 'Anita', 'David', 'Allen', 'Gilbert', 'Hugo', 'Andrew', 'Mitch', 'Isabel', 'Ivan', 'Emily', 'Katrina', 'Rita', 'Wilma', 'Dean', 'Felix', 'Matthew', 'Irma', 'Maria', 'Michael']
months = ['October', 'September', 'September', 'November', 'August', 'September', 'September', 'September', 'September', 'September', 'September', 'October', 'September', 'August', 'September', 'September', 'August', 'August', 'September', 'September', 'August', 'October', 'September', 'September', 'July', 'August', 'September', 'October', 'August', 'September', 'October', 'September', 'September', 'October']
years = [1924, 1928, 1932, 1932, 1933, 1933, 1935, 1938, 1953, 1955, 1961, 1961, 1967, 1969, 1971, 1977, 1979, 1980, 1988, 1989, 1992, 1998, 2003, 2004, 2005, 2005, 2005, 2005, 2007, 2007, 2016, 2017, 2017, 2018]
max_sustained_winds = [165, 160, 160, 175, 160, 160, 185, 160, 160, 175, 175, 160, 160, 175, 160, 175, 175, 190, 185, 160, 175, 180, 165, 165, 160, 175, 180, 185, 175, 175, 165, 180, 175, 160]
areas_affected = [['Central America', 'Mexico', 'Cuba', 'Florida', 'The Bahamas'], ['Lesser Antilles', 'The Bahamas', 'United States East Coast', 'Atlantic Canada'], ['The Bahamas', 'Northeastern United States'], ['Lesser Antilles', 'Jamaica', 'Cayman Islands', 'Cuba', 'The Bahamas', 'Bermuda'], ['The Bahamas', 'Cuba', 'Florida', 'Texas', 'Tamaulipas'], ['Jamaica', 'Yucatn Peninsula'], ['The Bahamas', 'Florida', 'Georgia', 'The Carolinas', 'Virginia'], ['Southeastern United States', 'Northeastern United States', 'Southwestern Quebec'], ['Bermuda', 'New England', 'Atlantic Canada'], ['Lesser Antilles', 'Central America'], ['Texas', 'Louisiana', 'Midwestern United States'], ['Central America'], ['The Caribbean', 'Mexico', 'Texas'], ['Cuba', 'United States Gulf Coast'], ['The Caribbean', 'Central America', 'Mexico', 'United States Gulf Coast'], ['Mexico'], ['The Caribbean', 'United States East coast'], ['The Caribbean', 'Yucatn Peninsula', 'Mexico', 'South Texas'], ['Jamaica', 'Venezuela', 'Central America', 'Hispaniola', 'Mexico'], ['The Caribbean', 'United States East Coast'], ['The Bahamas', 'Florida', 'United States Gulf Coast'], ['Central America', 'Yucatn Peninsula', 'South Florida'], ['Greater Antilles', 'Bahamas', 'Eastern United States', 'Ontario'], ['The Caribbean', 'Venezuela', 'United States Gulf Coast'], ['Windward Islands', 'Jamaica', 'Mexico', 'Texas'], ['Bahamas', 'United States Gulf Coast'], ['Cuba', 'United States Gulf Coast'], ['Greater Antilles', 'Central America', 'Florida'], ['The Caribbean', 'Central America'], ['Nicaragua', 'Honduras'], ['Antilles', 'Venezuela', 'Colombia', 'United States East Coast', 'Atlantic Canada'], ['Cape Verde', 'The Caribbean', 'British Virgin Islands', 'U.S. Virgin Islands', 'Cuba', 'Florida'], ['Lesser Antilles', 'Virgin Islands', 'Puerto Rico', 'Dominican Republic', 'Turks and Caicos Islands'], ['Central America', 'United States Gulf Coast (especially Florida Panhandle)']]
damages = ['Damages not recorded', '100M', 'Damages not recorded', '40M', '27.9M', '5M', 'Damages not recorded', '306M', '2M', '65.8M', '326M', '60.3M', '208M', '1.42B', '25.4M', 'Damages not recorded', '1.54B', '1.24B', '7.1B', '10B', '26.5B', '6.2B', '5.37B', '23.3B', '1.01B', '125B', '12B', '29.4B', '1.76B', '720M', '15.1B', '64.8B', '91.6B', '25.1B']
deaths = [90, 4000, 16, 3103, 179, 184, 408, 682, 5, 1023, 43, 319, 688, 259, 37, 11, 2068, 269, 318, 107, 65, 19325, 51, 124, 17, 1836, 125, 87, 45, 133, 603, 138, 3057, 74]
conversion = {'M': 1000000, 'B': 1000000000}
def convert_values(item):
if item == 'Damages not recorded':
return 'Damages not recorded'
elif item[-1] == 'M':
return int(float(item[:-1]) * 1000000)
elif item[-1] == 'B':
return int(float(item[:-1]) * 1000000000)
damages = list(map(convert_values, damages))
print(damages)
print('*****************************************************')
hurricane_dictionary = {}
for index in range(len(names)):
hurricane_dictionary[names[index]] = {'Name': names[index], 'Month': months[index], 'Year': years[index], 'Max Sustained Wind': max_sustained_winds[index], 'Areas Affected': areas_affected[index], 'Damage': damages[index], 'Deaths': deaths[index]}
print(hurricane_dictionary)
print('*****************************************************')
new_dictionary = {}
def organize_by_year(hurricanes):
hurricanes_by_year = dict()
for cane in hurricanes:
current_year = hurricanes[cane]['Year']
current_cane = hurricanes[cane]
if current_year not in hurricanes_by_year:
hurricanes_by_year[current_year] = [current_cane]
else:
hurricanes_by_year[current_year].append(current_cane)
return hurricanes_by_year
hurricanes_by_year = organize_by_year(hurricane_dictionary)
print(organize_by_year(hurricane_dictionary))
print('*****************************************************')
def organize_areas_by_count(hurricanes):
hurricanes_by_area = dict()
for cane in hurricanes:
current_areas = hurricanes[cane]['Areas Affected']
for area in current_areas:
if area not in hurricanes_by_area:
hurricanes_by_area[area] = 1
else:
hurricanes_by_area[area] += 1
return hurricanes_by_area
print(organize_areas_by_count(hurricane_dictionary))
def find_most_affected(hurricanes):
return list(organize_areas_by_count(hurricanes).items())[0]
print(find_most_affected(hurricane_dictionary))
print('*****************************************************')
print(hurricane_dictionary)
def find_most_deaths(hurricanes):
highest_death = {'Deaths': 0}
for cane in hurricanes:
if hurricanes[cane].get('Deaths', 0) > int(list(highest_death.values())[0]):
highest_death = {hurricanes[cane]['Name']: hurricanes[cane]['Deaths']}
return highest_death
print('The deadliest hurricane and the number of deaths: ' + str(find_most_deaths(hurricane_dictionary)))
print('*****************************************************')
def rate_by_mortality(hurricanes):
new_dictionary = {0: [], 1: [], 2: [], 3: [], 4: []}
for cane in hurricanes:
if hurricanes[cane]['Deaths'] == 0:
new_dictionary[0].append(hurricanes[cane])
elif hurricanes[cane]['Deaths'] <= 100:
new_dictionary[1].append(hurricanes[cane])
elif hurricanes[cane]['Deaths'] <= 500:
new_dictionary[2].append(hurricanes[cane])
elif hurricanes[cane]['Deaths'] <= 1000:
new_dictionary[3].append(hurricanes[cane])
elif hurricanes[cane]['Deaths'] <= 10000:
new_dictionary[4].append(hurricanes[cane])
return new_dictionary
print(rate_by_mortality(hurricane_dictionary))
print('*****************************************************')
def find_most_damage(hurricanes):
highest_death = {'Damage': 0}
for cane in hurricanes:
if hurricanes[cane]['Damage'] == 'Damages not recorded':
continue
elif hurricanes[cane]['Damage'] > int(list(highest_death.values())[0]):
highest_death = {hurricanes[cane]['Name']: hurricanes[cane]['Damage']}
return highest_death
print('The most damaging hurricane and its damages: ' + str(find_most_damage(hurricane_dictionary)))
damage_scale = {0: 0, 1: 100000000, 2: 1000000000, 3: 10000000000, 4: 50000000000}
print('*****************************************************')
def rate_by_damages(hurricanes):
new_dictionary = {0: [], 1: [], 2: [], 3: [], 4: []}
for cane in hurricanes:
if hurricanes[cane]['Damage'] == 'Damages not recorded':
new_dictionary[0].append(hurricanes[cane])
elif hurricanes[cane]['Damage'] == 0:
new_dictionary[0].append(hurricanes[cane])
elif hurricanes[cane]['Damage'] <= 100000000:
new_dictionary[1].append(hurricanes[cane])
elif hurricanes[cane]['Damage'] <= 1000000000:
new_dictionary[2].append(hurricanes[cane])
elif hurricanes[cane]['Damage'] <= 10000000000:
new_dictionary[3].append(hurricanes[cane])
elif hurricanes[cane]['Damage'] <= 50000000000:
new_dictionary[4].append(hurricanes[cane])
return new_dictionary
print(rate_by_damages(hurricane_dictionary)) |
alien_0 = {'color': 'green', 'points': 5}
alien_1 = {'color': 'yellow', 'points': 10}
alien_2 = {'color': 'red', 'points': 15}
aliens = [alien_0, alien_1, alien_2]
for alien in aliens:
print(alien)
print('...')
aliens = []
for alien_number in range(30):
new_alien = {'color': 'green', 'points': 5, 'speed': 'slow'}
aliens.append(new_alien)
for alien in aliens[:3]:
if alien['color'] == 'green':
alien['color'] = 'yellow'
alien['poins'] = 10
alien['speed'] = 'medium'
elif alien['color'] == 'yellow':
alien['color'] = 'red'
alien['poins'] = 15
alien['speed'] = 'fast'
for alien in aliens[:5]:
print(alien)
print('...')
print('Total number of aliens: ' + str(len(aliens)))
| alien_0 = {'color': 'green', 'points': 5}
alien_1 = {'color': 'yellow', 'points': 10}
alien_2 = {'color': 'red', 'points': 15}
aliens = [alien_0, alien_1, alien_2]
for alien in aliens:
print(alien)
print('...')
aliens = []
for alien_number in range(30):
new_alien = {'color': 'green', 'points': 5, 'speed': 'slow'}
aliens.append(new_alien)
for alien in aliens[:3]:
if alien['color'] == 'green':
alien['color'] = 'yellow'
alien['poins'] = 10
alien['speed'] = 'medium'
elif alien['color'] == 'yellow':
alien['color'] = 'red'
alien['poins'] = 15
alien['speed'] = 'fast'
for alien in aliens[:5]:
print(alien)
print('...')
print('Total number of aliens: ' + str(len(aliens))) |
#!/usr/bin/env python3
with open("day-1/data") as f:
expenses = f.readlines()
founditems = []
def accounting(i):
for j in expenses:
j = int(j.strip('\n'))
for x in expenses:
x = int(x.strip('\n'))
if i + j + x == 2020 and i * j * x not in founditems:
print("3-sum: " + str(i * j * x))
founditems.append(i * j * x)
if i + j == 2020 and i * j not in founditems:
print("2-sum: " + str(i * j))
founditems.append(i * j)
for i in expenses:
i = int(i.strip('\n'))
accounting(i = i)
| with open('day-1/data') as f:
expenses = f.readlines()
founditems = []
def accounting(i):
for j in expenses:
j = int(j.strip('\n'))
for x in expenses:
x = int(x.strip('\n'))
if i + j + x == 2020 and i * j * x not in founditems:
print('3-sum: ' + str(i * j * x))
founditems.append(i * j * x)
if i + j == 2020 and i * j not in founditems:
print('2-sum: ' + str(i * j))
founditems.append(i * j)
for i in expenses:
i = int(i.strip('\n'))
accounting(i=i) |
class Command(object):
CONTINUE = 1
SKIP_REMAINING = 2
def __init__(self, args=None, explicit=False):
self.explicit = explicit
self._args = args or []
@property
def args(self):
return self._args
def add_argument(self, arg):
self._args.append(arg)
def cmdline(self):
return [self.name] + self._args
def check_result(self, result):
return Command.CONTINUE
def __repr__(self):
return "Command(name={}, args={})".format(self.name, self._args)
class SynchronizeCommand(Command):
name = "synchronize"
class DeployCommand(Command):
# Flag constants for deploy return value
REPO_UNCHANGED = "repo_unchanged"
REPO_CHANGED = "repo_changed"
name = "deploy"
def check_result(self, result):
# For backwards compatibility
if not result:
return Command.CONTINUE
changed = any(result[v] == DeployCommand.REPO_CHANGED for v in result)
if not changed:
return Command.SKIP_REMAINING
else:
return Command.CONTINUE
class BuildCommand(Command):
name = "build"
class RestartCommand(Command):
name = "restart"
class WaitUntilComponentsReadyCommand(Command):
name = "wait-until-components-ready"
class GenericCommand(Command):
def __init__(self, name, args=None):
self.name = name
# Generic commands can only be added explicitly from the commandline.
super(GenericCommand, self).__init__(args=args, explicit=True)
| class Command(object):
continue = 1
skip_remaining = 2
def __init__(self, args=None, explicit=False):
self.explicit = explicit
self._args = args or []
@property
def args(self):
return self._args
def add_argument(self, arg):
self._args.append(arg)
def cmdline(self):
return [self.name] + self._args
def check_result(self, result):
return Command.CONTINUE
def __repr__(self):
return 'Command(name={}, args={})'.format(self.name, self._args)
class Synchronizecommand(Command):
name = 'synchronize'
class Deploycommand(Command):
repo_unchanged = 'repo_unchanged'
repo_changed = 'repo_changed'
name = 'deploy'
def check_result(self, result):
if not result:
return Command.CONTINUE
changed = any((result[v] == DeployCommand.REPO_CHANGED for v in result))
if not changed:
return Command.SKIP_REMAINING
else:
return Command.CONTINUE
class Buildcommand(Command):
name = 'build'
class Restartcommand(Command):
name = 'restart'
class Waituntilcomponentsreadycommand(Command):
name = 'wait-until-components-ready'
class Genericcommand(Command):
def __init__(self, name, args=None):
self.name = name
super(GenericCommand, self).__init__(args=args, explicit=True) |
Desc = cellDescClass("DFFNSRX4")
Desc.properties["cell_footprint"] = "dffnsr"
Desc.properties["area"] = "116.424000"
Desc.properties["cell_leakage_power"] = "3723.759540"
Desc.pinOrder = ['CKN', 'D', 'IQ', 'IQN', 'Q', 'QN', 'RN', 'SN', 'next']
Desc.add_arc("CKN","D","setup_falling")
Desc.add_arc("CKN","D","hold_falling")
Desc.add_arc("CKN","SN","setup_falling")
Desc.add_arc("CKN","SN","hold_falling")
Desc.add_arc("CKN","RN","setup_falling")
Desc.add_arc("CKN","RN","hold_falling")
Desc.add_arc("CKN","Q","falling_edge")
Desc.add_arc("SN","Q","preset")
Desc.add_arc("RN","Q","clear")
Desc.add_arc("CKN","QN","falling_edge")
Desc.add_arc("SN","QN","clear")
Desc.add_arc("RN","QN","preset")
Desc.add_param("area",116.424000);
Desc.add_pin("D","input")
Desc.set_pin_job("CKN","clock")
Desc.add_pin("CKN","input")
Desc.add_pin("SN","input")
Desc.add_pin("RN","input")
Desc.add_pin("Q","output")
Desc.add_pin_func("Q","unknown")
Desc.add_pin("QN","output")
Desc.add_pin_func("QN","unknown")
Desc.add_pin("IQ","output")
Desc.add_pin_func("IQ","unknown")
Desc.add_pin("IQN","output")
Desc.add_pin_func("IQN","unknown")
Desc.add_pin("next","output")
Desc.add_pin_func("next","unknown")
Desc.set_job("flipflop")
CellLib["DFFNSRX4"]=Desc
| desc = cell_desc_class('DFFNSRX4')
Desc.properties['cell_footprint'] = 'dffnsr'
Desc.properties['area'] = '116.424000'
Desc.properties['cell_leakage_power'] = '3723.759540'
Desc.pinOrder = ['CKN', 'D', 'IQ', 'IQN', 'Q', 'QN', 'RN', 'SN', 'next']
Desc.add_arc('CKN', 'D', 'setup_falling')
Desc.add_arc('CKN', 'D', 'hold_falling')
Desc.add_arc('CKN', 'SN', 'setup_falling')
Desc.add_arc('CKN', 'SN', 'hold_falling')
Desc.add_arc('CKN', 'RN', 'setup_falling')
Desc.add_arc('CKN', 'RN', 'hold_falling')
Desc.add_arc('CKN', 'Q', 'falling_edge')
Desc.add_arc('SN', 'Q', 'preset')
Desc.add_arc('RN', 'Q', 'clear')
Desc.add_arc('CKN', 'QN', 'falling_edge')
Desc.add_arc('SN', 'QN', 'clear')
Desc.add_arc('RN', 'QN', 'preset')
Desc.add_param('area', 116.424)
Desc.add_pin('D', 'input')
Desc.set_pin_job('CKN', 'clock')
Desc.add_pin('CKN', 'input')
Desc.add_pin('SN', 'input')
Desc.add_pin('RN', 'input')
Desc.add_pin('Q', 'output')
Desc.add_pin_func('Q', 'unknown')
Desc.add_pin('QN', 'output')
Desc.add_pin_func('QN', 'unknown')
Desc.add_pin('IQ', 'output')
Desc.add_pin_func('IQ', 'unknown')
Desc.add_pin('IQN', 'output')
Desc.add_pin_func('IQN', 'unknown')
Desc.add_pin('next', 'output')
Desc.add_pin_func('next', 'unknown')
Desc.set_job('flipflop')
CellLib['DFFNSRX4'] = Desc |
def _is_socket(path): # -S
if not path:
return False
if hasattr(path, '_mode'):
return stat.S_ISSOCK(path._mode)
if hasattr(path, 'fileno') and os.stat in os.supports_fd:
path = path.fileno()
elif hasattr(path, 'name'):
path = path.name
return stat.S_ISSOCK(os.stat(path).st_mode)
| def _is_socket(path):
if not path:
return False
if hasattr(path, '_mode'):
return stat.S_ISSOCK(path._mode)
if hasattr(path, 'fileno') and os.stat in os.supports_fd:
path = path.fileno()
elif hasattr(path, 'name'):
path = path.name
return stat.S_ISSOCK(os.stat(path).st_mode) |
num1 = 10
num2 = int(input())
def add_sum():
sum = num1+num2
print(sum)
add_sum()
| num1 = 10
num2 = int(input())
def add_sum():
sum = num1 + num2
print(sum)
add_sum() |
class ConsoleCommandFailed(Exception):
pass
class ConvergeFailed(Exception):
pass
| class Consolecommandfailed(Exception):
pass
class Convergefailed(Exception):
pass |
class Overflow(
Enum,
CascadeProperty,
):
Visible = "visible" # initial
Hidden = "hidden"
Scroll = "scroll"
Auto = "auto"
| class Overflow(Enum, CascadeProperty):
visible = 'visible'
hidden = 'hidden'
scroll = 'scroll'
auto = 'auto' |
def Y_S(a):
if a == 0:
return 0
else:
ys = (a//30) * 10 + 10
return ys
def M_S(b):
if b == 0:
return 0
else:
ms = (b//60) * 15 + 15
return ms
N=int(input())
ms_add = 0
ys_add = 0
arr = list(map(int,input().split()))
for i in arr:
Y = Y_S(i)
M = M_S(i)
ys_add += Y
ms_add += M
if ys_add < ms_add:
print('Y',ys_add)
elif ys_add == ms_add:
print('Y M',ys_add)
else:
print('M',ms_add)
| def y_s(a):
if a == 0:
return 0
else:
ys = a // 30 * 10 + 10
return ys
def m_s(b):
if b == 0:
return 0
else:
ms = b // 60 * 15 + 15
return ms
n = int(input())
ms_add = 0
ys_add = 0
arr = list(map(int, input().split()))
for i in arr:
y = y_s(i)
m = m_s(i)
ys_add += Y
ms_add += M
if ys_add < ms_add:
print('Y', ys_add)
elif ys_add == ms_add:
print('Y M', ys_add)
else:
print('M', ms_add) |
animals = ['bear', 'python3.8', 'peacock', 'kangaroo', 'whale', 'platypus']
print("The animal at 1: ", animals[1]) # Python3.8
print("The third animal: ", animals[2]) # Peacock
print("The first animal: ", animals[0]) # bear
print("The animal at 3: ", animals[3]) # kangaroo
print("The fifth (5th) animal: ", animals[4]) # whale
print("The animal at 2: ", animals[2]) # peacock
print("The sixth (6th) animal: ", animals[5]) # platypus
print("The animal at 4: ", animals[4]) # whale
| animals = ['bear', 'python3.8', 'peacock', 'kangaroo', 'whale', 'platypus']
print('The animal at 1: ', animals[1])
print('The third animal: ', animals[2])
print('The first animal: ', animals[0])
print('The animal at 3: ', animals[3])
print('The fifth (5th) animal: ', animals[4])
print('The animal at 2: ', animals[2])
print('The sixth (6th) animal: ', animals[5])
print('The animal at 4: ', animals[4]) |
class User:
def __init__(self, reddit_id, username, karma, relevant_comments, relevant_posts):
self.reddit_id = reddit_id
self.username = username
self.karma = karma
self.score = 0
self.relevant_comments = relevant_comments
self.relevant_posts = relevant_posts
| class User:
def __init__(self, reddit_id, username, karma, relevant_comments, relevant_posts):
self.reddit_id = reddit_id
self.username = username
self.karma = karma
self.score = 0
self.relevant_comments = relevant_comments
self.relevant_posts = relevant_posts |
# Mathematics > Algebra > Little Gaurav and Sequence
# Help Gaurav in calculating last digit of a sequence.
#
# https://www.hackerrank.com/challenges/little-gaurav-and-sequence/problem
#
def S_brutforce(n):
s = 0
i = 0
while 2 ** i <= n:
for j in range(0, n + 1):
s += 2 ** (2 ** i + 2 * j)
i += 1
return s
def S(n):
# s1 = 0
# i = 0
# while 2 ** i <= n:
# s1 += 2 ** (2 ** i)
# i += 1
i = n
k = 0
while i != 0:
i //= 2
k += 1
if k == 1:
s1 = 2
else:
s1 = [6, 2, 8, 4, 0][(k - 2) % 5]
# s2 = (4 ** (n + 1) - 1) // (4 - 1)
# s2 = 1 mod 10 si n pair
# s2 = 5 mod 10 si n impair
s2 = 1 if n % 2 == 0 else 5
return (s1 * s2) % 10
def test():
for n in range(1, 100):
s = S(n)
assert (s % 10) == (S_brutforce(n) % 10)
print("{:4} {}".format(n, s % 10))
for _ in range(int(input())):
n = int(input())
if n % 2 == 1:
print(0)
else:
s = S(n)
print(s)
| def s_brutforce(n):
s = 0
i = 0
while 2 ** i <= n:
for j in range(0, n + 1):
s += 2 ** (2 ** i + 2 * j)
i += 1
return s
def s(n):
i = n
k = 0
while i != 0:
i //= 2
k += 1
if k == 1:
s1 = 2
else:
s1 = [6, 2, 8, 4, 0][(k - 2) % 5]
s2 = 1 if n % 2 == 0 else 5
return s1 * s2 % 10
def test():
for n in range(1, 100):
s = s(n)
assert s % 10 == s_brutforce(n) % 10
print('{:4} {}'.format(n, s % 10))
for _ in range(int(input())):
n = int(input())
if n % 2 == 1:
print(0)
else:
s = s(n)
print(s) |
# Solution to Mega Contest 1 Problem: Maximum Sum
for testcase in range(int(input())):
n, k = map(int, input().split())
array_a = list(map(int, input().split()))
array_b = list(map(int, input().split()))
if k>0:
array_a.sort()
array_b.sort()
# max_sum = sum(array_a[k:]+array_b[n-k:])
values = array_a[k:]
for val in range(k):
values.append(max(array_a[val], array_b[-val-1]))
max_sum = sum(values)
else: max_sum = sum(array_a)
print(max_sum) | for testcase in range(int(input())):
(n, k) = map(int, input().split())
array_a = list(map(int, input().split()))
array_b = list(map(int, input().split()))
if k > 0:
array_a.sort()
array_b.sort()
values = array_a[k:]
for val in range(k):
values.append(max(array_a[val], array_b[-val - 1]))
max_sum = sum(values)
else:
max_sum = sum(array_a)
print(max_sum) |
N = int(input())
V = list(map(int, input().split()))
C = list(map(int, input().split()))
result = 0
for i in range(N):
if V[i] > C[i]:
result += V[i] - C[i]
print(result)
| n = int(input())
v = list(map(int, input().split()))
c = list(map(int, input().split()))
result = 0
for i in range(N):
if V[i] > C[i]:
result += V[i] - C[i]
print(result) |
class Hair(object):
def __init__(self, radius):
self.radius = radius
self.phi = random(TAU)
self.slow = random(1.15, 1.2)
self.theta = asin(random(-self.radius, self.radius) / self.radius)
self.z = self.radius * sin(self.theta)
def render(self):
oFF = (noise(millis() * 0.0005, sin(self.phi)) - 0.5) * 0.3
oFFb = (noise(millis() * 0.0007, sin(self.z) * 0.01) - 0.5) * 0.3
self.thetaFF = self.theta + oFF
phiFF = self.phi + oFFb
x = self.radius * cos(self.theta) * cos(self.phi)
y = self.radius * cos(self.theta) * sin(self.phi)
self.z = self.radius * sin(self.theta)
xo = self.radius * cos(self.thetaFF) * cos(phiFF)
yo = self.radius * cos(self.thetaFF) * sin(phiFF)
zo = self.radius * sin(self.thetaFF)
xb = xo * self.slow
yb = yo * self.slow
zb = zo * self.slow
with beginShape(LINES):
stroke(0)
vertex(x, y, self.z)
stroke(200, 150)
vertex(xb, yb, zb)
| class Hair(object):
def __init__(self, radius):
self.radius = radius
self.phi = random(TAU)
self.slow = random(1.15, 1.2)
self.theta = asin(random(-self.radius, self.radius) / self.radius)
self.z = self.radius * sin(self.theta)
def render(self):
o_ff = (noise(millis() * 0.0005, sin(self.phi)) - 0.5) * 0.3
o_f_fb = (noise(millis() * 0.0007, sin(self.z) * 0.01) - 0.5) * 0.3
self.thetaFF = self.theta + oFF
phi_ff = self.phi + oFFb
x = self.radius * cos(self.theta) * cos(self.phi)
y = self.radius * cos(self.theta) * sin(self.phi)
self.z = self.radius * sin(self.theta)
xo = self.radius * cos(self.thetaFF) * cos(phiFF)
yo = self.radius * cos(self.thetaFF) * sin(phiFF)
zo = self.radius * sin(self.thetaFF)
xb = xo * self.slow
yb = yo * self.slow
zb = zo * self.slow
with begin_shape(LINES):
stroke(0)
vertex(x, y, self.z)
stroke(200, 150)
vertex(xb, yb, zb) |
with open("input.txt") as f:
numbers = list(map(int, f.readline().split()))
def parse_tree_metadata(tree):
num_nodes = tree[0]
num_metadata = tree[1]
leafs = tree[2:]
total = 0
for i in range(num_nodes):
leafs, sum_metadata = parse_tree_metadata(leafs)
total += sum_metadata
for i in range(num_metadata):
total += leafs[i]
return leafs[num_metadata:], total
print(parse_tree_metadata(numbers)[1])
def get_value_root_node(start):
node_sum = 0
num_nodes, num_metadata = numbers[start : start + 2]
next_start = start + 2
if num_nodes:
node_values = []
for child_node in range(num_nodes):
temporary_sum, next_start = get_value_root_node(next_start)
node_values.append(temporary_sum)
for i in numbers[next_start : next_start + num_metadata]:
if i - 1 < len(node_values):
node_sum += node_values[i - 1]
else:
node_sum += sum(numbers[next_start : next_start + num_metadata])
return node_sum, next_start + num_metadata
print(get_value_root_node(0)[0])
| with open('input.txt') as f:
numbers = list(map(int, f.readline().split()))
def parse_tree_metadata(tree):
num_nodes = tree[0]
num_metadata = tree[1]
leafs = tree[2:]
total = 0
for i in range(num_nodes):
(leafs, sum_metadata) = parse_tree_metadata(leafs)
total += sum_metadata
for i in range(num_metadata):
total += leafs[i]
return (leafs[num_metadata:], total)
print(parse_tree_metadata(numbers)[1])
def get_value_root_node(start):
node_sum = 0
(num_nodes, num_metadata) = numbers[start:start + 2]
next_start = start + 2
if num_nodes:
node_values = []
for child_node in range(num_nodes):
(temporary_sum, next_start) = get_value_root_node(next_start)
node_values.append(temporary_sum)
for i in numbers[next_start:next_start + num_metadata]:
if i - 1 < len(node_values):
node_sum += node_values[i - 1]
else:
node_sum += sum(numbers[next_start:next_start + num_metadata])
return (node_sum, next_start + num_metadata)
print(get_value_root_node(0)[0]) |
class Dough:
def __init__(self, flour_type, baking_technique, weight):
self.__flour_type = flour_type
self.__baking_technique = baking_technique
self.__weight = weight
@property
def flour_type(self):
return self.__flour_type
@flour_type.setter
def flour_type(self, value):
self.__flour_type = value
@property
def baking_technique(self):
return self.__baking_technique
@baking_technique.setter
def baking_technique(self, value):
self.__baking_technique = value
@property
def weight(self):
return self.__weight
@weight.setter
def weight(self, value):
self.__weight = value | class Dough:
def __init__(self, flour_type, baking_technique, weight):
self.__flour_type = flour_type
self.__baking_technique = baking_technique
self.__weight = weight
@property
def flour_type(self):
return self.__flour_type
@flour_type.setter
def flour_type(self, value):
self.__flour_type = value
@property
def baking_technique(self):
return self.__baking_technique
@baking_technique.setter
def baking_technique(self, value):
self.__baking_technique = value
@property
def weight(self):
return self.__weight
@weight.setter
def weight(self, value):
self.__weight = value |
a, b = 10, 5
print("Add: a+b = ", a+b)
print("Sub: a-b = ", a-b)
print("Mul: a*b = ", a*b)
print("Div: a/b = ", a/b)
print("Mod: a%b = ", a%b)
print("Exp: a**b = ", a**b)
print("Floored Div: a//b = ", a//b) | (a, b) = (10, 5)
print('Add: a+b = ', a + b)
print('Sub: a-b = ', a - b)
print('Mul: a*b = ', a * b)
print('Div: a/b = ', a / b)
print('Mod: a%b = ', a % b)
print('Exp: a**b = ', a ** b)
print('Floored Div: a//b = ', a // b) |
'''
189. Rotate Array
Given an array, rotate the array to the right by k steps, where k is non-negative.
Example 1:
Input: [1,2,3,4,5,6,7] and k = 3
Output: [5,6,7,1,2,3,4]
Explanation:
rotate 1 steps to the right: [7,1,2,3,4,5,6]
rotate 2 steps to the right: [6,7,1,2,3,4,5]
rotate 3 steps to the right: [5,6,7,1,2,3,4]
Example 2:
Input: [-1,-100,3,99] and k = 2
Output: [3,99,-1,-100]
Explanation:
rotate 1 steps to the right: [99,-1,-100,3]
rotate 2 steps to the right: [3,99,-1,-100]
Note:
Try to come up as many solutions as you can, there are at least 3 different ways to solve this problem.
Could you do it in-place with O(1) extra space?
'''
# Brute Force Approach - O(n*k) time, O(1) space
def rotate(self, nums, k):
temp, previous = 0, 0
for i in range(k):
previous = nums[-1]
for j in range(len(nums)):
temp = nums[j]
nums[j] = previous
previous = temp
# Using Extra Array - O(n) time, O(n) space
def rotate(self, nums, k):
temp = []
for i in range(len(nums)):
temp.append(nums[(i + k + 1) % len(nums)])
return temp[:]
# Reverse Solution - O(n) time, O(1) space
def rotate(self, nums, k):
if k % len(nums) != 0:
k = k % len(nums)
nums[:] = nums[::-1][:k][::-1] + nums[::-1][k:][::-1]
| """
189. Rotate Array
Given an array, rotate the array to the right by k steps, where k is non-negative.
Example 1:
Input: [1,2,3,4,5,6,7] and k = 3
Output: [5,6,7,1,2,3,4]
Explanation:
rotate 1 steps to the right: [7,1,2,3,4,5,6]
rotate 2 steps to the right: [6,7,1,2,3,4,5]
rotate 3 steps to the right: [5,6,7,1,2,3,4]
Example 2:
Input: [-1,-100,3,99] and k = 2
Output: [3,99,-1,-100]
Explanation:
rotate 1 steps to the right: [99,-1,-100,3]
rotate 2 steps to the right: [3,99,-1,-100]
Note:
Try to come up as many solutions as you can, there are at least 3 different ways to solve this problem.
Could you do it in-place with O(1) extra space?
"""
def rotate(self, nums, k):
(temp, previous) = (0, 0)
for i in range(k):
previous = nums[-1]
for j in range(len(nums)):
temp = nums[j]
nums[j] = previous
previous = temp
def rotate(self, nums, k):
temp = []
for i in range(len(nums)):
temp.append(nums[(i + k + 1) % len(nums)])
return temp[:]
def rotate(self, nums, k):
if k % len(nums) != 0:
k = k % len(nums)
nums[:] = nums[::-1][:k][::-1] + nums[::-1][k:][::-1] |
# Definition for a undirected graph node
# class UndirectedGraphNode:
# def __init__(self, x):
# self.label = x
# self.neighbors = []
class Solution:
# @param node, a undirected graph node
# @return a undirected graph node
def cloneGraph(self, node):
graph = {}
visited = set()
def dfs(node, visited, graph):
if not node or node.label in visited:
return
visited |= {node.label}
if node.label not in graph:
graph[node.label] = UndirectedGraphNode(node.label)
newNode = graph[node.label]
for nbr in node.neighbors:
if nbr.label not in graph:
graph[nbr.label] = UndirectedGraphNode(nbr.label)
newNode.neighbors.append(graph[nbr.label])
dfs(nbr, visited, graph)
return newNode
return dfs(node, visited, graph)
| class Solution:
def clone_graph(self, node):
graph = {}
visited = set()
def dfs(node, visited, graph):
if not node or node.label in visited:
return
visited |= {node.label}
if node.label not in graph:
graph[node.label] = undirected_graph_node(node.label)
new_node = graph[node.label]
for nbr in node.neighbors:
if nbr.label not in graph:
graph[nbr.label] = undirected_graph_node(nbr.label)
newNode.neighbors.append(graph[nbr.label])
dfs(nbr, visited, graph)
return newNode
return dfs(node, visited, graph) |
#Assignment 1
print("welcome to the Controlroom of Hyderabad ATC")
Altitude = 1500
if Altitude <= 1000:
print('youre safe to land')
elif Altitude <=5000:
print('Please Bring Down Altitude to 1000')
else :
print('it is Danger now to land, please Turn around')
#Assignment2
for num in range(0,200):
if num > 1:
for i in range(2,num):
if (num % i)== 0:
break
else :
print(num) | print('welcome to the Controlroom of Hyderabad ATC')
altitude = 1500
if Altitude <= 1000:
print('youre safe to land')
elif Altitude <= 5000:
print('Please Bring Down Altitude to 1000')
else:
print('it is Danger now to land, please Turn around')
for num in range(0, 200):
if num > 1:
for i in range(2, num):
if num % i == 0:
break
else:
print(num) |
s="2 3 4 5 66 74 33 2 3"
s=s.split()
s = [int(x) for x in s]
s1=[]
for i in s:
if i not in s1:
s1.append(i)
s1 = sorted(s1)
print(s1)
for i in s1:
print(i,s.count(i))
| s = '2 3 4 5 66 74 33 2 3'
s = s.split()
s = [int(x) for x in s]
s1 = []
for i in s:
if i not in s1:
s1.append(i)
s1 = sorted(s1)
print(s1)
for i in s1:
print(i, s.count(i)) |
print('This is the dummy Controller')
def dummy_example():
print('This is a function in the dummy Controller')
if __name__ == '__main__':
print('This is printed only from __main__')
dummy_example() | print('This is the dummy Controller')
def dummy_example():
print('This is a function in the dummy Controller')
if __name__ == '__main__':
print('This is printed only from __main__')
dummy_example() |
# Linked list operations in Python
# Create a node
class Node:
def __init__(self, data):
self.data = data
self.next = None
class LinkedList:
def __init__(self):
self.head = None
# Insert at the beginning
def insertAtBeginning(self, new_data):
new_node = Node(new_data)
new_node.next = self.head
self.head = new_node
# Insert after a node
def insertAfter(self, prev_node, new_data):
if prev_node is None:
print("The given previous node must inLinkedList.")
return
new_node = Node(new_data)
new_node.next = prev_node.next
prev_node.next = new_node
# Insert at the end
def insertAtEnd(self, new_data):
new_node = Node(new_data)
if self.head is None:
self.head = new_node
return
last = self.head
while last.next:
last = last.next
last.next = new_node
# Deleting a node
def deleteNode(self, position):
if self.head is None:
return
temp = self.head
if position == 0:
self.head = temp.next
temp = None
return
# Find the key to be deleted
for i in range(position - 1):
temp = temp.next
if temp is None:
break
# If the key is not present
if temp is None:
return
if temp.next is None:
return
next = temp.next.next
temp.next = None
temp.next = next
# Search an element
def search(self, key):
current = self.head
while current is not None:
if current.data == key:
return True
current = current.next
return False
# Sort the linked list
def sortLinkedList(self, head):
current = head
index = Node(None)
if head is None:
return
else:
while current is not None:
# index points to the node next to current
index = current.next
while index is not None:
if current.data > index.data:
current.data, index.data = index.data, current.data
index = index.next
current = current.next
# Print the linked list
def printList(self):
temp = self.head
while temp:
print(str(temp.data) + " ", end="")
temp = temp.next
if __name__ == "__main__":
llist = LinkedList()
llist.insertAtEnd(1)
llist.insertAtBeginning(2)
llist.insertAtBeginning(3)
llist.insertAtEnd(4)
llist.insertAfter(llist.head.next, 5)
print("linked list:")
llist.printList()
print("\nAfter deleting an element:")
llist.deleteNode(3)
llist.printList()
print()
item_to_find = 3
if llist.search(item_to_find):
print(str(item_to_find) + " is found")
else:
print(str(item_to_find) + " is not found")
llist.sortLinkedList(llist.head)
print("Sorted List: ")
llist.printList()
| class Node:
def __init__(self, data):
self.data = data
self.next = None
class Linkedlist:
def __init__(self):
self.head = None
def insert_at_beginning(self, new_data):
new_node = node(new_data)
new_node.next = self.head
self.head = new_node
def insert_after(self, prev_node, new_data):
if prev_node is None:
print('The given previous node must inLinkedList.')
return
new_node = node(new_data)
new_node.next = prev_node.next
prev_node.next = new_node
def insert_at_end(self, new_data):
new_node = node(new_data)
if self.head is None:
self.head = new_node
return
last = self.head
while last.next:
last = last.next
last.next = new_node
def delete_node(self, position):
if self.head is None:
return
temp = self.head
if position == 0:
self.head = temp.next
temp = None
return
for i in range(position - 1):
temp = temp.next
if temp is None:
break
if temp is None:
return
if temp.next is None:
return
next = temp.next.next
temp.next = None
temp.next = next
def search(self, key):
current = self.head
while current is not None:
if current.data == key:
return True
current = current.next
return False
def sort_linked_list(self, head):
current = head
index = node(None)
if head is None:
return
else:
while current is not None:
index = current.next
while index is not None:
if current.data > index.data:
(current.data, index.data) = (index.data, current.data)
index = index.next
current = current.next
def print_list(self):
temp = self.head
while temp:
print(str(temp.data) + ' ', end='')
temp = temp.next
if __name__ == '__main__':
llist = linked_list()
llist.insertAtEnd(1)
llist.insertAtBeginning(2)
llist.insertAtBeginning(3)
llist.insertAtEnd(4)
llist.insertAfter(llist.head.next, 5)
print('linked list:')
llist.printList()
print('\nAfter deleting an element:')
llist.deleteNode(3)
llist.printList()
print()
item_to_find = 3
if llist.search(item_to_find):
print(str(item_to_find) + ' is found')
else:
print(str(item_to_find) + ' is not found')
llist.sortLinkedList(llist.head)
print('Sorted List: ')
llist.printList() |
# -*- coding: utf-8 -*-
class BaseCompressor(object):
def __init__(self, options):
self._options = options
def compress(self, value):
raise NotImplementedError
def decompress(self, value):
raise NotImplementedError
| class Basecompressor(object):
def __init__(self, options):
self._options = options
def compress(self, value):
raise NotImplementedError
def decompress(self, value):
raise NotImplementedError |
n = 10
a = []
s = [[0] * n for i in range(n)]
s2 = [[0] * n for i in range(n)]
for i in range(n):
a.append(list(map(int, input().split())))
s[0][0] = a[0][0]
s2[0][0] = a[0][0]
for j in range(1, n):
s[0][j] = s[0][j - 1] + a[0][j]
for i in range(1, n):
s[i][0] = s[i - 1][0] + a[i][0]
for i in range(n):
for j in range(n):
if i and j:
s[i][j] = max(s[i - 1][j], s[i][j - 1]) + a[i][j]
for j in range(1, n):
s2[0][j] = s2[0][j - 1] + a[0][j]
for i in range(1, n):
s2[i][0] = s2[i - 1][0] + a[i][0]
for i in range(n):
for j in range(n):
if i and j:
s2[i][j] = min(s2[i - 1][j], s2[i][j - 1]) + a[i][j]
print(s[n - 1][n - 1], s2[n - 1][n - 1], sep="")
| n = 10
a = []
s = [[0] * n for i in range(n)]
s2 = [[0] * n for i in range(n)]
for i in range(n):
a.append(list(map(int, input().split())))
s[0][0] = a[0][0]
s2[0][0] = a[0][0]
for j in range(1, n):
s[0][j] = s[0][j - 1] + a[0][j]
for i in range(1, n):
s[i][0] = s[i - 1][0] + a[i][0]
for i in range(n):
for j in range(n):
if i and j:
s[i][j] = max(s[i - 1][j], s[i][j - 1]) + a[i][j]
for j in range(1, n):
s2[0][j] = s2[0][j - 1] + a[0][j]
for i in range(1, n):
s2[i][0] = s2[i - 1][0] + a[i][0]
for i in range(n):
for j in range(n):
if i and j:
s2[i][j] = min(s2[i - 1][j], s2[i][j - 1]) + a[i][j]
print(s[n - 1][n - 1], s2[n - 1][n - 1], sep='') |
#FUNCTION TEXT
def AddCharA(char,lista,z):
x=0
for y in lista[0]:
if y=="|":
break
else:
x+=1
x+=1
if x==len(lista[0]):
lista[0]=lista[0][:len(lista[0])-1]+char+"|"
elif x==1:
lista[0]=char+lista[0][:]
else:
lista[0]=lista[0][:x-1]+char+lista[0][x-1:]
print(char)
print(lista)
z[0].configure(text=lista[0])
def DelChar(lista,z):
if len(lista[0])!=1:
x=0
for y in lista[0]:
if y=="|":
break
else:
x+=1
x+=1
print(x)
if x!=1:
if x==len(lista[0]):
lista[0]=lista[0][:x-2]+"|"
else:
lista[0]=lista[0][:x-2]+"|"+lista[0][x:]
print(lista)
z[0].configure(text=lista[0])
def MoveD(lista,z):
if len(lista[0])!=1:
x=0
for y in lista[0]:
if y=="|":
break
else:
x+=1
print(x)
x+=1
if x!=len(lista[0]):
if x==1:
lista[0]=lista[0][x]+"|"+lista[0][x+1:]
else:
lista[0]=lista[0][:x-1]+lista[0][x]+"|"+lista[0][x+1:]
print(lista)
z[0].configure(text=lista[0])
def MoveI(lista,z):
print("------\n",lista)
if len(lista[0])!=1:
x=0
for y in lista[0]:
if y=="|":
break
else:
x+=1
x+=1
print(x)
if x!=1:
if x==len(lista[0]):
lista[0]=lista[0][:x-2]+"|"+lista[0][x-2]
else:
lista[0]=lista[0][:x-2]+"|"+lista[0][x-2]+lista[0][x:]
print(lista)
z[0].configure(text=lista[0])
| def add_char_a(char, lista, z):
x = 0
for y in lista[0]:
if y == '|':
break
else:
x += 1
x += 1
if x == len(lista[0]):
lista[0] = lista[0][:len(lista[0]) - 1] + char + '|'
elif x == 1:
lista[0] = char + lista[0][:]
else:
lista[0] = lista[0][:x - 1] + char + lista[0][x - 1:]
print(char)
print(lista)
z[0].configure(text=lista[0])
def del_char(lista, z):
if len(lista[0]) != 1:
x = 0
for y in lista[0]:
if y == '|':
break
else:
x += 1
x += 1
print(x)
if x != 1:
if x == len(lista[0]):
lista[0] = lista[0][:x - 2] + '|'
else:
lista[0] = lista[0][:x - 2] + '|' + lista[0][x:]
print(lista)
z[0].configure(text=lista[0])
def move_d(lista, z):
if len(lista[0]) != 1:
x = 0
for y in lista[0]:
if y == '|':
break
else:
x += 1
print(x)
x += 1
if x != len(lista[0]):
if x == 1:
lista[0] = lista[0][x] + '|' + lista[0][x + 1:]
else:
lista[0] = lista[0][:x - 1] + lista[0][x] + '|' + lista[0][x + 1:]
print(lista)
z[0].configure(text=lista[0])
def move_i(lista, z):
print('------\n', lista)
if len(lista[0]) != 1:
x = 0
for y in lista[0]:
if y == '|':
break
else:
x += 1
x += 1
print(x)
if x != 1:
if x == len(lista[0]):
lista[0] = lista[0][:x - 2] + '|' + lista[0][x - 2]
else:
lista[0] = lista[0][:x - 2] + '|' + lista[0][x - 2] + lista[0][x:]
print(lista)
z[0].configure(text=lista[0]) |
_base_ = [
'../_base_/datasets/OxfordPet_bs64.py', '../_base_/default_runtime.py', '../_base_/models/resnet50.py',
]
# load model pretrained on imagenet
model = dict(
backbone=dict(
init_cfg=dict(
type='Pretrained',
checkpoint='https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_8xb32_in1k_20210831-ea4938fc.pth',
prefix='backbone',
)),
head=dict(num_classes=37),
)
# optimizer
optimizer = dict(
type='SGD',
lr=0.01,
momentum=0.9,
weight_decay=1e-4
)
optimizer_config = dict(grad_clip=None)
# learning policy
lr_config = dict(policy='CosineAnnealing', min_lr=0)
runner = dict(type='EpochBasedRunner', max_epochs=60)
log_config = dict(
interval=10,
hooks=[
dict(type='TextLoggerHook'),
# dict(type='TensorboardLoggerHook')
])
checkpoint_config = dict(interval=20)
| _base_ = ['../_base_/datasets/OxfordPet_bs64.py', '../_base_/default_runtime.py', '../_base_/models/resnet50.py']
model = dict(backbone=dict(init_cfg=dict(type='Pretrained', checkpoint='https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_8xb32_in1k_20210831-ea4938fc.pth', prefix='backbone')), head=dict(num_classes=37))
optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001)
optimizer_config = dict(grad_clip=None)
lr_config = dict(policy='CosineAnnealing', min_lr=0)
runner = dict(type='EpochBasedRunner', max_epochs=60)
log_config = dict(interval=10, hooks=[dict(type='TextLoggerHook')])
checkpoint_config = dict(interval=20) |
def quick_sort(arr,low,high):
if len(arr) > 1:
if low < high:
position = partition(arr,low,high)
quick_sort(arr,low,position -1)
quick_sort(arr,position +1,high)
return arr
return arr
def partition(arr,low,high):
position = low
for i in range(low,high):
if arr[i] < arr[high]:
arr[i],arr[position] = arr[position], arr[i]
position += 1
arr[position],arr[high] = arr[high],arr[position]
return position | def quick_sort(arr, low, high):
if len(arr) > 1:
if low < high:
position = partition(arr, low, high)
quick_sort(arr, low, position - 1)
quick_sort(arr, position + 1, high)
return arr
return arr
def partition(arr, low, high):
position = low
for i in range(low, high):
if arr[i] < arr[high]:
(arr[i], arr[position]) = (arr[position], arr[i])
position += 1
(arr[position], arr[high]) = (arr[high], arr[position])
return position |
name = 'snape'
print(name+name+str(7))
age = 11
wizard_age_multiplier = 56
final_age = age * wizard_age_multiplier
print(f'You are {age} which means you are {final_age} in wizard years')
print('You are ' + str(age) + ' which means you are ' + str(final_age) + ' in wizard years') | name = 'snape'
print(name + name + str(7))
age = 11
wizard_age_multiplier = 56
final_age = age * wizard_age_multiplier
print(f'You are {age} which means you are {final_age} in wizard years')
print('You are ' + str(age) + ' which means you are ' + str(final_age) + ' in wizard years') |
# Python program to find the factorial of a number
num = int(input("Enter a number: "))
factorial = 1
if num < 0:
print("factorial does not exist for negative numbers")
elif num == 0:
print("The factorial of 0 is 1")
else:
for i in range(1, num + 1):
factorial = factorial*i
print("The factorial of", num, "is", factorial)
| num = int(input('Enter a number: '))
factorial = 1
if num < 0:
print('factorial does not exist for negative numbers')
elif num == 0:
print('The factorial of 0 is 1')
else:
for i in range(1, num + 1):
factorial = factorial * i
print('The factorial of', num, 'is', factorial) |
class InstagramException(Exception):
StatusCode = -1
def __init__(self, message="", code=500):
super().__init__(f'{message}, Code:{code}')
@staticmethod
def default(response_text, status_code):
StatusCode = status_code
return InstagramException(
'Response code is {status_code}. Body: {response_text} '
'Something went wrong. Please report issue.'.format(
response_text=response_text, status_code=status_code),
status_code)
| class Instagramexception(Exception):
status_code = -1
def __init__(self, message='', code=500):
super().__init__(f'{message}, Code:{code}')
@staticmethod
def default(response_text, status_code):
status_code = status_code
return instagram_exception('Response code is {status_code}. Body: {response_text} Something went wrong. Please report issue.'.format(response_text=response_text, status_code=status_code), status_code) |
class Spawn:
def __init__ (self, width, height):
self.width, self.height, self.spacing = self.fill = width, height, 100, d3.scale.category20 ()
self.svg = d3.select ('body'
) .append ('svg'
) .attr ('width', self.width
) .attr ('height', self.height
) .on ('mousemove', self.mousemove
) .on ('mousedown', self.mousedown)
self.svg.append ('rect'
) .attr ('width', self.width
) .attr ('height', self.height)
self.cursor = self.svg.append ('circle'
) .attr ('r', self.spacing
) .attr ('transform', 'translate ({}, {})' .format (self.width / 2, self.height / 2)
) .attr ('class', 'cursor')
self.force = d3.layout.force (
) .size ([self.width, self.height]
) .nodes ([{}]
) .linkDistance (self.spacing
) .charge (-1000
) .on ('tick', self.tick)
self.nodes, self.links, self.node, self.link = self.force.nodes (), self.force.links (), self.svg.selectAll ('.node'), self.svg.selectAll ('.link')
self.restart ()
def mousemove (self):
self.cursor.attr ('transform', 'translate (' + d3.mouse (self.svg.node ()) + ')')
def mousedown (self):
def pushLink (target):
x, y = target.x - node.x, target.y - node.y
if Math.sqrt (x * x + y * y) < self.spacing:
spawn.links.push ({'source': node, 'target': target})
point = d3.mouse (self.svg.node ())
node = {'x': point [0], 'y': point [1]}
self.nodes.push (node)
self.nodes.forEach (pushLink)
self.restart ()
def tick (self):
self.link.attr ('x1', lambda d: d.source.x
) .attr ('y1', lambda d: d.source.y
) .attr ('x2', lambda d: d.target.x
) .attr ('y2', lambda d: d.target.y)
self.node.attr ('cx', lambda d: d.x
) .attr ('cy', lambda d: d.y)
def restart (self):
self.link = self.link.data (self.links)
self.link.enter (
) .insert ('line', '.node'
) .attr('class', 'link')
self.node = self.node.data (self.nodes)
self.node.enter (
) .insert ('circle', '.cursor'
) .attr ('class', 'node'
) .attr ('r', 7
) .call (self.force.drag)
self.force.start ()
spawn = Spawn (window.innerWidth, window.innerHeight)
| class Spawn:
def __init__(self, width, height):
(self.width, self.height, self.spacing) = self.fill = (width, height, 100, d3.scale.category20())
self.svg = d3.select('body').append('svg').attr('width', self.width).attr('height', self.height).on('mousemove', self.mousemove).on('mousedown', self.mousedown)
self.svg.append('rect').attr('width', self.width).attr('height', self.height)
self.cursor = self.svg.append('circle').attr('r', self.spacing).attr('transform', 'translate ({}, {})'.format(self.width / 2, self.height / 2)).attr('class', 'cursor')
self.force = d3.layout.force().size([self.width, self.height]).nodes([{}]).linkDistance(self.spacing).charge(-1000).on('tick', self.tick)
(self.nodes, self.links, self.node, self.link) = (self.force.nodes(), self.force.links(), self.svg.selectAll('.node'), self.svg.selectAll('.link'))
self.restart()
def mousemove(self):
self.cursor.attr('transform', 'translate (' + d3.mouse(self.svg.node()) + ')')
def mousedown(self):
def push_link(target):
(x, y) = (target.x - node.x, target.y - node.y)
if Math.sqrt(x * x + y * y) < self.spacing:
spawn.links.push({'source': node, 'target': target})
point = d3.mouse(self.svg.node())
node = {'x': point[0], 'y': point[1]}
self.nodes.push(node)
self.nodes.forEach(pushLink)
self.restart()
def tick(self):
self.link.attr('x1', lambda d: d.source.x).attr('y1', lambda d: d.source.y).attr('x2', lambda d: d.target.x).attr('y2', lambda d: d.target.y)
self.node.attr('cx', lambda d: d.x).attr('cy', lambda d: d.y)
def restart(self):
self.link = self.link.data(self.links)
self.link.enter().insert('line', '.node').attr('class', 'link')
self.node = self.node.data(self.nodes)
self.node.enter().insert('circle', '.cursor').attr('class', 'node').attr('r', 7).call(self.force.drag)
self.force.start()
spawn = spawn(window.innerWidth, window.innerHeight) |
class Queue(object):
def __init__(self):
super(Queue, self).__init__()
self.rear = -1
self.front = -1
self.MAX = 10
self.queue = [None]*self.MAX
def enqueue(self,element):
if(self.rear == self.MAX - 1):
print("Error- queue full")
else:
self.rear += 1
self.queue[self.rear] = element
if self.rear == 0:
self.front = 0;
return;
def dequeue(self):
if(self.rear == -1):
print("Error- queue empty")
else:
out = self.queue[self.front]
self.front += 1
if(self.front > self.rear):
self.front = self.rear = -1;
return out
return -1
def display(self):
print('queue: ', end="")
for i in range(self.front, self.rear+1):
print(str(self.queue[i])+" ", end="")
print()
def createQueue(self, *elements):
for element in elements:
self.enqueue(element)
def isEmpty(self):
if(self.front == -1 or self.front > self.rear):
return True
return False
| class Queue(object):
def __init__(self):
super(Queue, self).__init__()
self.rear = -1
self.front = -1
self.MAX = 10
self.queue = [None] * self.MAX
def enqueue(self, element):
if self.rear == self.MAX - 1:
print('Error- queue full')
else:
self.rear += 1
self.queue[self.rear] = element
if self.rear == 0:
self.front = 0
return
def dequeue(self):
if self.rear == -1:
print('Error- queue empty')
else:
out = self.queue[self.front]
self.front += 1
if self.front > self.rear:
self.front = self.rear = -1
return out
return -1
def display(self):
print('queue: ', end='')
for i in range(self.front, self.rear + 1):
print(str(self.queue[i]) + ' ', end='')
print()
def create_queue(self, *elements):
for element in elements:
self.enqueue(element)
def is_empty(self):
if self.front == -1 or self.front > self.rear:
return True
return False |
n=int(input())
arr=[[input(),float(input())] for _ in range(0,n)]
arr.sort(key=lambda x: (x[1],x[0]))
names = [i[0] for i in arr]
marks = [i[1] for i in arr]
min_val=min(marks)
while marks[0]==min_val:
marks.remove(marks[0])
names.remove(names[0])
for x in range(0,len(marks)):
if marks[x]==min(marks):
print(names[x])
| n = int(input())
arr = [[input(), float(input())] for _ in range(0, n)]
arr.sort(key=lambda x: (x[1], x[0]))
names = [i[0] for i in arr]
marks = [i[1] for i in arr]
min_val = min(marks)
while marks[0] == min_val:
marks.remove(marks[0])
names.remove(names[0])
for x in range(0, len(marks)):
if marks[x] == min(marks):
print(names[x]) |
sse3=1
debug=0
strict=1
osx_min_ver = '10.7'
compiler = 'clang'
osx_archs = 'x86_64'
cxxstd = 'c++14'
ccflags = '-stdlib=libc++ -Wno-unused-local-typedefs'
linkflags = '-stdlib=libc++'
package_arch = 'x86_64'
#disable_local = 'libevent re2'
sign_disable = 1
sign_keychain = 'login.keychain'
#sign_keychain = 'developer.jane.doe.keychain'
# parts of the build system don't know about sign_disable
# so you MUST comment-out sign_id_installer if it is not valid
#sign_id_installer = 'Developer ID Installer: Jane Doe (C123456789)'
sign_id_app = 'Developer ID Application: Jane Doe (C123456789)'
sign_prefix = 'org.foldingathome.'
notarize_disable = 1
notarize_user = 'example.jane.doe@icloud.com'
notarize_pass = '@keychain:Developer altool: Jane Doe'
notarize_asc = 'C123456789'
notarize_team = 'C123456789'
| sse3 = 1
debug = 0
strict = 1
osx_min_ver = '10.7'
compiler = 'clang'
osx_archs = 'x86_64'
cxxstd = 'c++14'
ccflags = '-stdlib=libc++ -Wno-unused-local-typedefs'
linkflags = '-stdlib=libc++'
package_arch = 'x86_64'
sign_disable = 1
sign_keychain = 'login.keychain'
sign_id_app = 'Developer ID Application: Jane Doe (C123456789)'
sign_prefix = 'org.foldingathome.'
notarize_disable = 1
notarize_user = 'example.jane.doe@icloud.com'
notarize_pass = '@keychain:Developer altool: Jane Doe'
notarize_asc = 'C123456789'
notarize_team = 'C123456789' |
#define the main() function
def main():
i = 0 #declare interger i
x = 119.0 #declare float x
for i in range(120): #loop i from 0 to 119, inclusive
if((i%2)==0): #if i is even
x += 3. #add 3 to x
else: #if not true
x -= 5. #substract 5 from x
s = "%3.2e" % x #make a string containing x with sci. notation of 2 decimals
print(s) #print s to the screen
if __name__=="__main__": #if the main() function exists,run it
main() | def main():
i = 0
x = 119.0
for i in range(120):
if i % 2 == 0:
x += 3.0
else:
x -= 5.0
s = '%3.2e' % x
print(s)
if __name__ == '__main__':
main() |
# 7. Write a program that takes any two lists L and M of the same size and adds their elements
# together to form a new list N whose elements are sums of the corresponding elements in L
# and M. For instance, if L=[3,1,4] and M=[1,5,9], then N should equal [4,6,13].
L = input('Enter a list of numbers: ').split()
M = input('Enter another list of numbers: ').split()
N = []
for i in range(len(L)):
N.append(int(L[i]) + int(M[i]))
# N = [(int(L[i]) + int(M[i])) for i in range(len(L))]
print(N)
| l = input('Enter a list of numbers: ').split()
m = input('Enter another list of numbers: ').split()
n = []
for i in range(len(L)):
N.append(int(L[i]) + int(M[i]))
print(N) |
class Solution:
def canConstruct(self, s: str, k: int) -> bool:
if len(s) < k:
return False
if len(s) == k:
return True
letters = collections.Counter(s)
mid = []
for key, val in letters.items():
if val % 2 == 1:
mid.append(key)
if len(mid) > k:
return False
return True
| class Solution:
def can_construct(self, s: str, k: int) -> bool:
if len(s) < k:
return False
if len(s) == k:
return True
letters = collections.Counter(s)
mid = []
for (key, val) in letters.items():
if val % 2 == 1:
mid.append(key)
if len(mid) > k:
return False
return True |
class NoChefException(Exception):
pass
class Chef(object):
def make(self, **params):
print("I am a chef")
class Boost(Chef):
def make(self, food=None, **keywords):
print("I can cook %s for robots" % food)
class Fry(Chef):
def make(self, food=None):
print("I can fry " + food)
class Bake(Chef):
def make(self, food=None):
print("I can bake " + food)
PLUGINS = {
"Portable Battery": Boost,
"Fish and Chips": Fry,
"Cornish Scone": Bake,
"Jacket Potato": Bake,
}
def get_a_plugin(food_name=None, **keywords):
plugin = PLUGINS.get(food_name)
if plugin is None:
raise NoChefException("Cannot find a chef")
plugin_cls = plugin()
return plugin_cls
| class Nochefexception(Exception):
pass
class Chef(object):
def make(self, **params):
print('I am a chef')
class Boost(Chef):
def make(self, food=None, **keywords):
print('I can cook %s for robots' % food)
class Fry(Chef):
def make(self, food=None):
print('I can fry ' + food)
class Bake(Chef):
def make(self, food=None):
print('I can bake ' + food)
plugins = {'Portable Battery': Boost, 'Fish and Chips': Fry, 'Cornish Scone': Bake, 'Jacket Potato': Bake}
def get_a_plugin(food_name=None, **keywords):
plugin = PLUGINS.get(food_name)
if plugin is None:
raise no_chef_exception('Cannot find a chef')
plugin_cls = plugin()
return plugin_cls |
class Range:
def __init__(self, left, right, left_inclusive=True, right_inclusive=False):
self.left = left
self.right = right
self.left_inclusive = left_inclusive
self.right_inclusive = right_inclusive
def __contains__(self, item):
if self.left_inclusive and self.left == item:
return True
if self.right_inclusive and self.right == item:
return True
return self.left < item < self.right
class OpenRange(Range):
def __init__(self, left, right):
super().__init__(left, right, False, False)
class ClosedRange(Range):
def __init__(self, left, right):
super().__init__(left, right, True, True)
| class Range:
def __init__(self, left, right, left_inclusive=True, right_inclusive=False):
self.left = left
self.right = right
self.left_inclusive = left_inclusive
self.right_inclusive = right_inclusive
def __contains__(self, item):
if self.left_inclusive and self.left == item:
return True
if self.right_inclusive and self.right == item:
return True
return self.left < item < self.right
class Openrange(Range):
def __init__(self, left, right):
super().__init__(left, right, False, False)
class Closedrange(Range):
def __init__(self, left, right):
super().__init__(left, right, True, True) |
alphabet_dict = {
'a': 1,
'b': 2,
'c': 3,
'd': 4,
'e': 5,
'f': 6,
'g': 7,
'h': 8,
'i': 9,
'j': 10,
'k': 11,
'l': 12,
'm': 13,
'n': 14,
'o': 15,
'p': 16,
'q': 17,
'r': 18,
's': 19,
't': 20,
'u': 21,
'v': 22,
'w': 23,
'x': 24,
'y': 25,
'z': 26,
'1': 27,
'2': 28,
'3': 29,
'4': 30,
'5': 31,
'6': 32,
'7': 33,
'8': 34,
'9': 35,
'-': 36,
',': 37,
';': 38,
'.': 39,
'!': 40,
'?': 41,
':': 42,
"'": 43,
'/"': 44,
'\\': 45,
'|': 46,
'_': 47,
'@': 48,
'#': 49,
'$': 50,
'%': 51,
'^': 52,
'&': 53,
'*': 54,
'~': 55,
'`': 56,
'+': 57,
'=': 58,
'<': 59,
'>': 60,
'(': 61,
')': 62,
'[': 63,
']': 64,
'{': 65,
'}': 66,
}
| alphabet_dict = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5, 'f': 6, 'g': 7, 'h': 8, 'i': 9, 'j': 10, 'k': 11, 'l': 12, 'm': 13, 'n': 14, 'o': 15, 'p': 16, 'q': 17, 'r': 18, 's': 19, 't': 20, 'u': 21, 'v': 22, 'w': 23, 'x': 24, 'y': 25, 'z': 26, '1': 27, '2': 28, '3': 29, '4': 30, '5': 31, '6': 32, '7': 33, '8': 34, '9': 35, '-': 36, ',': 37, ';': 38, '.': 39, '!': 40, '?': 41, ':': 42, "'": 43, '/"': 44, '\\': 45, '|': 46, '_': 47, '@': 48, '#': 49, '$': 50, '%': 51, '^': 52, '&': 53, '*': 54, '~': 55, '`': 56, '+': 57, '=': 58, '<': 59, '>': 60, '(': 61, ')': 62, '[': 63, ']': 64, '{': 65, '}': 66} |
_base_ = './grid_rcnn_r50_fpn_gn-head_2x_coco.py'
model = dict(
pretrained='open-mmlab://resnext101_32x4d',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
style='pytorch'))
# optimizer
optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)
optimizer_config = dict(grad_clip=None)
# learning policy
lr_config = dict(
policy='step',
warmup='linear',
warmup_iters=3665,
warmup_ratio=1.0 / 80,
step=[17, 23])
total_epochs = 25
| _base_ = './grid_rcnn_r50_fpn_gn-head_2x_coco.py'
model = dict(pretrained='open-mmlab://resnext101_32x4d', backbone=dict(type='ResNeXt', depth=101, groups=32, base_width=4, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=1, style='pytorch'))
optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)
optimizer_config = dict(grad_clip=None)
lr_config = dict(policy='step', warmup='linear', warmup_iters=3665, warmup_ratio=1.0 / 80, step=[17, 23])
total_epochs = 25 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#Reference https://ebisuke33.hatenablog.com/entry/abc197c
def main():
N = int(input())
array = list(map(int,input().split()))
ans = 10**9+7
if N==1:
print(array[0])
exit()
for i in range(2**(N-1)):
base = 0
or_value = array[0]
for j in range(1,N):
if (i>>(j-1)) & 1:
base ^= or_value
or_value = 0
or_value |= array[j]
else:
or_value |= array[j]
base ^= or_value
ans = min(ans,base)
print(ans)
if __name__ == '__main__':
main() | def main():
n = int(input())
array = list(map(int, input().split()))
ans = 10 ** 9 + 7
if N == 1:
print(array[0])
exit()
for i in range(2 ** (N - 1)):
base = 0
or_value = array[0]
for j in range(1, N):
if i >> j - 1 & 1:
base ^= or_value
or_value = 0
or_value |= array[j]
else:
or_value |= array[j]
base ^= or_value
ans = min(ans, base)
print(ans)
if __name__ == '__main__':
main() |
print("(1, 2, 3) < (1, 2, 4) :", (1, 2, 3) < (1, 2, 4))
print("[1, 2, 3] < [1, 2, 4] :", [1, 2, 3] < [1, 2, 4])
print("'ABC' < 'C' < 'Pascal' < 'Python' :", 'ABC' < 'C' < 'Pascal' < 'Python')
print("(1, 2, 3, 4) < (1, 2, 4) :", (1, 2, 3, 4) < (1, 2, 4))
print("(1, 2) < (1, 2, -1) :", (1, 2) < (1, 2, -1))
print("(1, 2, 3) == (1.0, 2.0, 3.0) :", (1, 2, 3) == (1.0, 2.0, 3.0))
print("(1, 2, ('aa', 'bb')) < (1, 2, ('abc', 'a'), 4) :", (1, 2, ('aa', 'bb')) < (1, 2, ('abc', 'a'), 4))
| print('(1, 2, 3) < (1, 2, 4) :', (1, 2, 3) < (1, 2, 4))
print('[1, 2, 3] < [1, 2, 4] :', [1, 2, 3] < [1, 2, 4])
print("'ABC' < 'C' < 'Pascal' < 'Python' :", 'ABC' < 'C' < 'Pascal' < 'Python')
print('(1, 2, 3, 4) < (1, 2, 4) :', (1, 2, 3, 4) < (1, 2, 4))
print('(1, 2) < (1, 2, -1) :', (1, 2) < (1, 2, -1))
print('(1, 2, 3) == (1.0, 2.0, 3.0) :', (1, 2, 3) == (1.0, 2.0, 3.0))
print("(1, 2, ('aa', 'bb')) < (1, 2, ('abc', 'a'), 4) :", (1, 2, ('aa', 'bb')) < (1, 2, ('abc', 'a'), 4)) |
#Spiral Traversal
def spiralTraverse(array):
# Write your code here.
result=[]
startRow=0
startCol=0
endRow=len(array)-1
endCol=len(array[0])-1
while startRow<=endRow and startCol<=endCol:
for col in range(startCol, endCol+1):
print(col)
result.append(array[startRow][col])
for row in range(startRow+1, endRow+1):
print(row)
result.append(array[row][endCol])
for col in reversed(range(startCol, endCol)):
print(col)
if startRow==endRow:
break
result.append(array[endRow][col])
for row in reversed(range(startRow+1, endRow)):
print(row)
if startCol==endCol:
break
result.append(array[row][startCol])
startRow+=1
endRow-=1
startCol+=1
endCol-=1
print(result)
return result
| def spiral_traverse(array):
result = []
start_row = 0
start_col = 0
end_row = len(array) - 1
end_col = len(array[0]) - 1
while startRow <= endRow and startCol <= endCol:
for col in range(startCol, endCol + 1):
print(col)
result.append(array[startRow][col])
for row in range(startRow + 1, endRow + 1):
print(row)
result.append(array[row][endCol])
for col in reversed(range(startCol, endCol)):
print(col)
if startRow == endRow:
break
result.append(array[endRow][col])
for row in reversed(range(startRow + 1, endRow)):
print(row)
if startCol == endCol:
break
result.append(array[row][startCol])
start_row += 1
end_row -= 1
start_col += 1
end_col -= 1
print(result)
return result |
# TODO Find a way to actually configure these :D
BASE_URL = 'http://localhost:8000/'
MAILCATCHER_URL = 'http://localhost:1080/'
| base_url = 'http://localhost:8000/'
mailcatcher_url = 'http://localhost:1080/' |
'''
@Author: Yingshi Chen
@Date: 2020-03-20 17:39:56
@
# Description:
'''
| """
@Author: Yingshi Chen
@Date: 2020-03-20 17:39:56
@
# Description:
""" |
#Ricky Deegan
#check if one number divides another
p = 8
m = 2
if (p % m) == 0:
print (p, "divided by", m, "leaves a remainder of zero")
print ("I'll be run too if the condition is true")
else:
print (p, "divided by", m, "does not leave leaves a remainder of zero")
print ("I'll be run too if the condition is false")
print("I'll run no matter what")
| p = 8
m = 2
if p % m == 0:
print(p, 'divided by', m, 'leaves a remainder of zero')
print("I'll be run too if the condition is true")
else:
print(p, 'divided by', m, 'does not leave leaves a remainder of zero')
print("I'll be run too if the condition is false")
print("I'll run no matter what") |
stim_positions = {
'double' : [ [( .4584, .2575, .2038), # 3d location
( .4612, .2690,-.0283)],
[( .4601, .1549, .1937),
( .4614, .1660,-.0358)]
],
'double_20070301' : [ [( .4538, .2740, .1994), # top highy
( .4565, .2939,-0.0531)],
[ (.4516, .1642, .1872), # top lowy
( .4541, .1767,-.0606)]],
'half' : [ [( .4567, .2029, .1958),
( .4581, .2166,-.0329)],
],
'half_20070303' : [ [( .4628, .2066, .1920),
( .4703, .2276,-.0555) ]],
'tall' : [ [( .4562, .1951, .2798),
( .4542, .2097,-.0325)],
],
##from 20061205:
##tall=[( 456.2, 195.1, 279.8),
## ( 454.2, 209.7,-32.5)]
##from 20061212:
##short=[( 461.4, 204.2, 128.1),
## ( 462.5, 205.3, 114.4)]
##from 20061219:
##necklace = [( 455.9, 194.4, 262.8),
## ( 456.2, 212.8,-42.2)]
## 'no post (smoothed)' : [( .4562, .1951, .2798),
## ( .4542, .2097,-.0325)],
'short': [[( .4614, .2042, .1281),
( .4625, .2053, .1144)]],
'necklace' : [[( .4559, .1944, .2628),
( .4562, .2128,-.0422)]],
None : [],
}
| stim_positions = {'double': [[(0.4584, 0.2575, 0.2038), (0.4612, 0.269, -0.0283)], [(0.4601, 0.1549, 0.1937), (0.4614, 0.166, -0.0358)]], 'double_20070301': [[(0.4538, 0.274, 0.1994), (0.4565, 0.2939, -0.0531)], [(0.4516, 0.1642, 0.1872), (0.4541, 0.1767, -0.0606)]], 'half': [[(0.4567, 0.2029, 0.1958), (0.4581, 0.2166, -0.0329)]], 'half_20070303': [[(0.4628, 0.2066, 0.192), (0.4703, 0.2276, -0.0555)]], 'tall': [[(0.4562, 0.1951, 0.2798), (0.4542, 0.2097, -0.0325)]], 'short': [[(0.4614, 0.2042, 0.1281), (0.4625, 0.2053, 0.1144)]], 'necklace': [[(0.4559, 0.1944, 0.2628), (0.4562, 0.2128, -0.0422)]], None: []} |
def test_NEQSys():
pass
def test_SimpleNEQSys():
pass
| def test_neq_sys():
pass
def test__simple_neq_sys():
pass |
def str_or_list_to_list(path_or_paths):
if isinstance(path_or_paths, str):
# parameter is a string, turn it into a list of strings
paths = [path_or_paths]
else:
# parameter is a list
paths = path_or_paths
return paths
| def str_or_list_to_list(path_or_paths):
if isinstance(path_or_paths, str):
paths = [path_or_paths]
else:
paths = path_or_paths
return paths |
def f(a, b):
return a + b
def g():
i = 0
while i < 10:
a = 'foo'
i += 1
def h():
[x for x in range(10)]
| def f(a, b):
return a + b
def g():
i = 0
while i < 10:
a = 'foo'
i += 1
def h():
[x for x in range(10)] |
if __name__ == "__main__":
count = 0
resolution = 10000
iota = 1 / resolution
a = 0
b = 0
while a <= 1:
b = 0
while b <= 1:
if (pow(a, 2) + pow(b, 2)) <= (2 * min(a, b)):
count = count + 1
b += iota
a += iota
print(f"Count is: {count} area is {pow(resolution, 2)}, internal area is {count / (pow(resolution, 2))}")
| if __name__ == '__main__':
count = 0
resolution = 10000
iota = 1 / resolution
a = 0
b = 0
while a <= 1:
b = 0
while b <= 1:
if pow(a, 2) + pow(b, 2) <= 2 * min(a, b):
count = count + 1
b += iota
a += iota
print(f'Count is: {count} area is {pow(resolution, 2)}, internal area is {count / pow(resolution, 2)}') |
class GradScaler(object):
def __init__(
self, init_scale, growth_factor, backoff_factor, growth_interval, enabled
):
self.scale_factor = init_scale
self.growth_factor = growth_factor
self.backoff_factor = backoff_factor
self.growth_interval = growth_interval
self.enabled = enabled
self.unskipped_iter = 0
def scale(self, outputs):
if not self.enabled:
return outputs
return self.scale_factor * outputs
def unscale(self, optimizer):
if not self.enabled:
return
for param in optimizer.param_groups[0]["params"]:
if param.grad.isnan().any() or param.grad.isinf().any():
optimizer.zero_grad()
self.scale_factor *= self.backoff_factor
self.unskipped_iter = 0
return
for param in optimizer.param_groups[0]["params"]:
param.grad /= self.scale_factor
self.unskipped_iter += 1
if self.unskipped_iter >= self.growth_interval:
self.scale_factor *= self.growth_factor
self.unskipped_iter = 0
| class Gradscaler(object):
def __init__(self, init_scale, growth_factor, backoff_factor, growth_interval, enabled):
self.scale_factor = init_scale
self.growth_factor = growth_factor
self.backoff_factor = backoff_factor
self.growth_interval = growth_interval
self.enabled = enabled
self.unskipped_iter = 0
def scale(self, outputs):
if not self.enabled:
return outputs
return self.scale_factor * outputs
def unscale(self, optimizer):
if not self.enabled:
return
for param in optimizer.param_groups[0]['params']:
if param.grad.isnan().any() or param.grad.isinf().any():
optimizer.zero_grad()
self.scale_factor *= self.backoff_factor
self.unskipped_iter = 0
return
for param in optimizer.param_groups[0]['params']:
param.grad /= self.scale_factor
self.unskipped_iter += 1
if self.unskipped_iter >= self.growth_interval:
self.scale_factor *= self.growth_factor
self.unskipped_iter = 0 |
# -*- coding: utf-8 -*-
__all__ = []
__version__ = '0.0'
FONTS = [
{
"name": "Roboto",
"fn_regular": fonts_path + 'Roboto-Regular.ttf',
"fn_bold": fonts_path + 'Roboto-Medium.ttf',
"fn_italic": fonts_path + 'Roboto-Italic.ttf',
"fn_bolditalic": fonts_path + 'Roboto-MediumItalic.ttf'
},
{
"name": "RobotoLight",
"fn_regular": fonts_path + 'Roboto-Thin.ttf',
"fn_bold": fonts_path + 'Roboto-Light.ttf',
"fn_italic": fonts_path + 'Roboto-ThinItalic.ttf',
"fn_bolditalic": fonts_path + 'Roboto-LightItalic.ttf'
},
{
"name": "Icons",
"fn_regular": fonts_path + 'materialdesignicons-webfont.ttf'
}
] | __all__ = []
__version__ = '0.0'
fonts = [{'name': 'Roboto', 'fn_regular': fonts_path + 'Roboto-Regular.ttf', 'fn_bold': fonts_path + 'Roboto-Medium.ttf', 'fn_italic': fonts_path + 'Roboto-Italic.ttf', 'fn_bolditalic': fonts_path + 'Roboto-MediumItalic.ttf'}, {'name': 'RobotoLight', 'fn_regular': fonts_path + 'Roboto-Thin.ttf', 'fn_bold': fonts_path + 'Roboto-Light.ttf', 'fn_italic': fonts_path + 'Roboto-ThinItalic.ttf', 'fn_bolditalic': fonts_path + 'Roboto-LightItalic.ttf'}, {'name': 'Icons', 'fn_regular': fonts_path + 'materialdesignicons-webfont.ttf'}] |
# TODO(dragondriver): add more default configs to here
class DefaultConfigs:
MaxSearchResultSize = 100 * 1024 * 1024
WaitTimeDurationWhenLoad = 0.5 # in seconds
| class Defaultconfigs:
max_search_result_size = 100 * 1024 * 1024
wait_time_duration_when_load = 0.5 |
def f():
n = 0
while True:
n = yield n + 1
print(n)
g = f()
try:
g.send(1)
print("FAIL")
raise SystemExit
except TypeError:
print("caught")
print(g.send(None))
print(g.send(100))
print(g.send(200))
def f2():
print("entering")
for i in range(3):
print(i)
yield
print("returning 1")
print("returning 2")
g = f2()
g.send(None)
g.send(1)
g.send(1)
try:
g.send(1)
print("FAIL")
raise SystemExit
except StopIteration:
print("caught")
try:
g.send(1)
print("FAIL")
raise SystemExit
except StopIteration:
print("caught")
print("PASS") | def f():
n = 0
while True:
n = (yield (n + 1))
print(n)
g = f()
try:
g.send(1)
print('FAIL')
raise SystemExit
except TypeError:
print('caught')
print(g.send(None))
print(g.send(100))
print(g.send(200))
def f2():
print('entering')
for i in range(3):
print(i)
yield
print('returning 1')
print('returning 2')
g = f2()
g.send(None)
g.send(1)
g.send(1)
try:
g.send(1)
print('FAIL')
raise SystemExit
except StopIteration:
print('caught')
try:
g.send(1)
print('FAIL')
raise SystemExit
except StopIteration:
print('caught')
print('PASS') |
# What substring do hish and fish have in common ?
# How about hish and vista ?
# Thats what we'll calculate
# grid
cell = []
word_a = 'fosh'
word_b = 'fort'
l_c_s = 0
# initiating with 0 values
for a in range(0, len(word_a)):
cell.append(list(0 for b in word_b))
for i in range(0, len(word_a)):
for j in range(0, len(word_b)):
if word_a[i] == word_b[j]:
cell[i][j] = cell[i-1][j-1] + 1
# recording the longest common substring because answer is not always in last cell
l_c_s = max(l_c_s, cell[i][j])
else:
cell[i][j] = 0
for c in cell:
print(c)
print('Longest common substring: {l}'.format(l=l_c_s)) | cell = []
word_a = 'fosh'
word_b = 'fort'
l_c_s = 0
for a in range(0, len(word_a)):
cell.append(list((0 for b in word_b)))
for i in range(0, len(word_a)):
for j in range(0, len(word_b)):
if word_a[i] == word_b[j]:
cell[i][j] = cell[i - 1][j - 1] + 1
l_c_s = max(l_c_s, cell[i][j])
else:
cell[i][j] = 0
for c in cell:
print(c)
print('Longest common substring: {l}'.format(l=l_c_s)) |
class Group(object):
def __init__(self, id=None, name=None, members=None) -> None:
self.id = id
self.name = name
self.members = []
def setId(self, id):
self.id = id
def getId(self):
return self.id
def setName(self, name):
self.id = name
def getName(self):
return self.name
def setMembers(self, memberList):
self.members = memberList
def getMembers(self):
return self.members
| class Group(object):
def __init__(self, id=None, name=None, members=None) -> None:
self.id = id
self.name = name
self.members = []
def set_id(self, id):
self.id = id
def get_id(self):
return self.id
def set_name(self, name):
self.id = name
def get_name(self):
return self.name
def set_members(self, memberList):
self.members = memberList
def get_members(self):
return self.members |
# CONFIGURATION
# --------------------------------------------------------------------------------------------
y_min = 0 # minimum value displayed on y axis
y_max = 100 # maximum value displayed on y axis (maximum must be greater (not greater or equal) than minimum)
x_min = 0 # minimum value displayed on x axis
x_max = 100 # maximum value displayed on x axis (maximum must be greater (not greater or equal) than minimum)
inputs = ["input1","input2"] # name of the input ports. It cooresponds to x and y axis
output = "output" # name of the output port
chart_color = "#2E86C1" # point chart color. blue = 2E86C1 , yellow = F4D03F, orange = E67E22
chart_height = 500 # height of the chart in pixels
chart_width = 500 # width of the chart in pixel
num_y_labels = 4 # number of labels dispyed on y axis. min and max values are not displayed
num_x_labels = 4 # number of labels dispyed on x axis. min and max values are not displayed
label_decimals = 0 # number of decimal places used for displaying labels on y axis.label_decimals = 0 -> integers are displayed
graph_name = "User Segmentation" # title/graph name
# -------------------------------------------------------------------------------------------
# INTERNAL CONFIGURATION - CHANGE ONLY IF YOU KNOW WHAT ARE YOU DOING
# ------------------------------------------------------------------------------------------
line_offset = 15 # chart line starts from x_zero position. it is a shift left on the chart for y axis labels
font_size = 12 # font size
background_color = "#212F3C" # dark blue
# ------------------------------------------------------------------------------------------
# INTERNAL CONFIGURATION - DO NOT CHANGE
# -------------------------------------------------------------------------------------------
y_range = y_max - y_min # range of y values calculated from configuration parameters.
x_range = x_max - x_min # range of x values calculated from configuration parameters.
font_size_px = font_size * 0.6667 # font size in pixels, important for indentation on y axis
label_pattern = "{0:."+str(label_decimals)+"f}" # pattern which is used to format values on y axis
# HTML TEMPLATES
# ------------------------------------------------------------------------------------------
html = '''
<style>
body, html { height: 100%; background-color: '''+background_color+'''}
.graph-container { width: 100%; height: 90%; padding-top: 20px; }
.chart { background: '''+background_color+'''; width: '''+str(chart_width)+'''px; height: '''+str(chart_height)+'''px; }
</style>
<br>
<div align="center" ><font face="verdana" color="white">'''+graph_name+'''</font></div>
<div align="center" class="graph-container">
<div class="chart-box">
<svg viewBox="0 0 '''+str(chart_width)+''' '''+str(chart_height)+'''" class="chart">
#y_labels
#x_labels
#points
</svg>
</div>
</div>
'''
point = '''<circle cx="#x_coord" cy="#y_coord" r="3" stroke="none" fill="#color" />
'''
horizontal_line = '''
<polyline fill="none" stroke="#989898" stroke-width="0.3" points=" '''+str(line_offset)+''', #y_pos, '''+str(chart_width)+''', #y_pos "/>
'''
y_axis_text = '''
<text font-family="verdana" font-size="'''+str(font_size)+'''px" fill="white" y="#y_pos" >#y_value</text>
'''
vertical_line = '''
<polyline fill="none" stroke="#989898" stroke-width="0.3" points=" #x_pos, 0, #x_pos, '''+str(chart_height - line_offset)+''' "/>
'''
x_axis_text = '''
<text font-family="verdana" font-size="'''+str(font_size)+'''px" fill="white" y="'''+str(chart_height - 2)+'''" x="#x_pos" >#x_value</text>
'''
# ------------------------------------------------------------------------------------------
# DRAWING CODE
# ------------------------------------------------------------------------------------------
points = ""
# calculate y value for input value. Input value is received from input port and must be integer or float.
# input: value (float or integer)
# return: y value in pixels (integer)
def calculate_y(value):
global y_range
y_relative = (value - y_min) / y_range
y_absolute = y_relative * chart_height
y = chart_height - y_absolute
return y
def calculate_x(value):
global x_range
x_relative = (value - x_min) / x_range
x_absolute = x_relative * chart_width
x = x_absolute
return x
# create html which draws horizontal axis and corresponding values
def create_y_labels_html(num_y_labels):
global y_min
global y_max
global y_range
html_labels = ""
if (num_y_labels <= 0):
return html_labels;
n_y_steps = num_y_labels + 1
y_step = y_range / (n_y_steps)
for curr in range(1,n_y_steps):
y_value = y_min + (y_step * curr)
y_value_display = label_pattern.format(y_value)
y_pos = calculate_y(y_value)
html_labels += horizontal_line.replace("#y_pos",str(y_pos))
html_labels += y_axis_text.replace("#y_pos",str(y_pos + font_size_px/2)).replace("#y_value",y_value_display)
return html_labels
def create_x_labels_html(num_x_labels):
global x_min
global x_max
global x_range
html_labels = ""
if (num_x_labels <= 0):
return html_labels;
n_x_steps = num_x_labels + 1
x_step = x_range / (n_x_steps)
for curr in range(1,n_x_steps):
x_value = x_min + (x_step * curr)
x_value_display = label_pattern.format(x_value)
x_pos = calculate_x(x_value)
html_labels += vertical_line.replace("#x_pos",str(x_pos))
html_labels += x_axis_text.replace("#x_pos",str(x_pos - 8)).replace("#x_value", x_value_display)
return html_labels
# function which will be triggered when new data are received on port
# input: value (string encoded number)
def on_input(value1, value2):
global html
global point
global points
global chart_color
val1 = float(value1) # value x
val2 = float(value2) # value y
x_val = calculate_x(val1)
y_val = calculate_y(val2)
circle = point.replace("#x_coord",str(x_val)).replace("#y_coord", str(y_val)).replace("#color", chart_color)
points += circle
html_tmp = html.replace("#points", points)
api.send(output, html_tmp)
api.set_port_callback(inputs, on_input)
# generate x and y labels on start
html = html.replace("#y_labels", create_y_labels_html(num_y_labels))
html = html.replace("#x_labels", create_x_labels_html(num_x_labels))
| y_min = 0
y_max = 100
x_min = 0
x_max = 100
inputs = ['input1', 'input2']
output = 'output'
chart_color = '#2E86C1'
chart_height = 500
chart_width = 500
num_y_labels = 4
num_x_labels = 4
label_decimals = 0
graph_name = 'User Segmentation'
line_offset = 15
font_size = 12
background_color = '#212F3C'
y_range = y_max - y_min
x_range = x_max - x_min
font_size_px = font_size * 0.6667
label_pattern = '{0:.' + str(label_decimals) + 'f}'
html = '\n<style>\n body, html { height: 100%; background-color: ' + background_color + '}\n .graph-container { width: 100%; height: 90%; padding-top: 20px; }\n .chart { background: ' + background_color + '; width: ' + str(chart_width) + 'px; height: ' + str(chart_height) + 'px; }\n</style>\n<br>\n<div align="center" ><font face="verdana" color="white">' + graph_name + '</font></div> \n<div align="center" class="graph-container"> \n <div class="chart-box">\n <svg viewBox="0 0 ' + str(chart_width) + ' ' + str(chart_height) + '" class="chart">\n \n #y_labels \n #x_labels\n #points\n \n </svg>\n </div>\n</div>\n'
point = '<circle cx="#x_coord" cy="#y_coord" r="3" stroke="none" fill="#color" />\n'
horizontal_line = '\n<polyline fill="none" stroke="#989898" stroke-width="0.3" points=" ' + str(line_offset) + ', #y_pos, ' + str(chart_width) + ', #y_pos "/>\n'
y_axis_text = '\n<text font-family="verdana" font-size="' + str(font_size) + 'px" fill="white" y="#y_pos" >#y_value</text>\n'
vertical_line = '\n<polyline fill="none" stroke="#989898" stroke-width="0.3" points=" #x_pos, 0, #x_pos, ' + str(chart_height - line_offset) + ' "/>\n'
x_axis_text = '\n<text font-family="verdana" font-size="' + str(font_size) + 'px" fill="white" y="' + str(chart_height - 2) + '" x="#x_pos" >#x_value</text>\n'
points = ''
def calculate_y(value):
global y_range
y_relative = (value - y_min) / y_range
y_absolute = y_relative * chart_height
y = chart_height - y_absolute
return y
def calculate_x(value):
global x_range
x_relative = (value - x_min) / x_range
x_absolute = x_relative * chart_width
x = x_absolute
return x
def create_y_labels_html(num_y_labels):
global y_min
global y_max
global y_range
html_labels = ''
if num_y_labels <= 0:
return html_labels
n_y_steps = num_y_labels + 1
y_step = y_range / n_y_steps
for curr in range(1, n_y_steps):
y_value = y_min + y_step * curr
y_value_display = label_pattern.format(y_value)
y_pos = calculate_y(y_value)
html_labels += horizontal_line.replace('#y_pos', str(y_pos))
html_labels += y_axis_text.replace('#y_pos', str(y_pos + font_size_px / 2)).replace('#y_value', y_value_display)
return html_labels
def create_x_labels_html(num_x_labels):
global x_min
global x_max
global x_range
html_labels = ''
if num_x_labels <= 0:
return html_labels
n_x_steps = num_x_labels + 1
x_step = x_range / n_x_steps
for curr in range(1, n_x_steps):
x_value = x_min + x_step * curr
x_value_display = label_pattern.format(x_value)
x_pos = calculate_x(x_value)
html_labels += vertical_line.replace('#x_pos', str(x_pos))
html_labels += x_axis_text.replace('#x_pos', str(x_pos - 8)).replace('#x_value', x_value_display)
return html_labels
def on_input(value1, value2):
global html
global point
global points
global chart_color
val1 = float(value1)
val2 = float(value2)
x_val = calculate_x(val1)
y_val = calculate_y(val2)
circle = point.replace('#x_coord', str(x_val)).replace('#y_coord', str(y_val)).replace('#color', chart_color)
points += circle
html_tmp = html.replace('#points', points)
api.send(output, html_tmp)
api.set_port_callback(inputs, on_input)
html = html.replace('#y_labels', create_y_labels_html(num_y_labels))
html = html.replace('#x_labels', create_x_labels_html(num_x_labels)) |
f=open('4.1.2_run_all_randomize_wholebrain.sh','w')
for i in range(1000):
cmd='python 4.1_randomize_wholebrain.py %d'%i
f.write(cmd+'\n')
f.close()
| f = open('4.1.2_run_all_randomize_wholebrain.sh', 'w')
for i in range(1000):
cmd = 'python 4.1_randomize_wholebrain.py %d' % i
f.write(cmd + '\n')
f.close() |
#Given an interval, the task is to count numbers which have same first and last digits.
#For example, 1231 has same first and last digits
def same_1andlast(s,e):
out=[]
for i in range(s,e+1):
num=i
nos=[]
while(num!=0):
nos.append(num%10)
num /= 10
if(nos[0]==nos[len(nos)-1]):
out.append(i)
return(out,len(out))
print(same_1andlast(7,68))
| def same_1andlast(s, e):
out = []
for i in range(s, e + 1):
num = i
nos = []
while num != 0:
nos.append(num % 10)
num /= 10
if nos[0] == nos[len(nos) - 1]:
out.append(i)
return (out, len(out))
print(same_1andlast(7, 68)) |
# Problem:
# Write a program for converting money from one currency to another.
# The following currencies need to be maintained: BGN, USD, EUR, GBP.
# Use the following fixed exchange rates:
# BGN = 1.79549 USD / 1.95583 EUR / 2.53405 GBP
# The input is a conversion amount + Input Currency + Output Currency.
# The output is one number - the converted amount on the above courses, rounded to 2 digits after the decimal point.
amount = float(input())
first_currency = input()
second_currency = input()
result = 0
if first_currency == "BGN":
if second_currency == "BGN":
result = amount * 1
elif second_currency == "USD":
result = amount / 1.79549
elif second_currency == "EUR":
result = amount / 1.95583
elif second_currency == "GBP":
result = amount / 2.53405
elif first_currency == "USD":
if second_currency == "BGN":
result = amount * 1.79549
elif second_currency == "USD":
result = amount * 1
elif second_currency == "EUR":
result = (amount * 1.79549) / 1.95583
elif second_currency == "GBP":
result = (amount * 1.79549) / 2.53405
elif first_currency == "EUR":
if second_currency == "BGN":
result = amount * 1.95583
elif second_currency == "USD":
result = (amount * 1.95583 ) / 1.79549
elif second_currency == "EUR":
result = amount * 1
elif second_currency == "GBP":
result = (amount * 1.95583 ) / 2.53405
elif first_currency == "GBP":
if second_currency == "BGN":
result = amount * 2.53405
elif second_currency == "USD":
result = (amount * 2.53405) / 1.79549
elif second_currency == "EUR":
result = (amount * 2.53405) / 1.95583
elif second_currency == "GBP":
result = amount * 1
print(float("{0:.2f}".format(result)),second_currency)
| amount = float(input())
first_currency = input()
second_currency = input()
result = 0
if first_currency == 'BGN':
if second_currency == 'BGN':
result = amount * 1
elif second_currency == 'USD':
result = amount / 1.79549
elif second_currency == 'EUR':
result = amount / 1.95583
elif second_currency == 'GBP':
result = amount / 2.53405
elif first_currency == 'USD':
if second_currency == 'BGN':
result = amount * 1.79549
elif second_currency == 'USD':
result = amount * 1
elif second_currency == 'EUR':
result = amount * 1.79549 / 1.95583
elif second_currency == 'GBP':
result = amount * 1.79549 / 2.53405
elif first_currency == 'EUR':
if second_currency == 'BGN':
result = amount * 1.95583
elif second_currency == 'USD':
result = amount * 1.95583 / 1.79549
elif second_currency == 'EUR':
result = amount * 1
elif second_currency == 'GBP':
result = amount * 1.95583 / 2.53405
elif first_currency == 'GBP':
if second_currency == 'BGN':
result = amount * 2.53405
elif second_currency == 'USD':
result = amount * 2.53405 / 1.79549
elif second_currency == 'EUR':
result = amount * 2.53405 / 1.95583
elif second_currency == 'GBP':
result = amount * 1
print(float('{0:.2f}'.format(result)), second_currency) |
'''
Hyper Paramators
'''
LENGTH = 9
WALLS = 10
BREAK = 96
INPUT_SHAPE = (LENGTH, LENGTH, 4 + WALLS * 2)
OUTPUT_SHAPE = 8 + 2 * (LENGTH - 1) * (LENGTH - 1)
# Train epoch for one cycle.
EPOCHS = 200 # Training epoch number
BATCH_SIZE = 256
FILTER = 256
KERNEL = 3
STRIDE = 1
INITIALIZER = 'he_normal'
REGULARIZER = 0.0005
RES_NUM = 19
# simulation times per one prediction.
SIMULATIONS = 300 #1600
GAMMA = 1.0
# self match times.
SELFMATCH = 200 # 25000
CYCLES = 200
PARALLEL_MATCH = 10
# Evaluation times per one evaluation
EVAL_MATCH = 10 # 400
C_PUT = 1.0
ALPHA = 0.35
EPS = 0.25
| """
Hyper Paramators
"""
length = 9
walls = 10
break = 96
input_shape = (LENGTH, LENGTH, 4 + WALLS * 2)
output_shape = 8 + 2 * (LENGTH - 1) * (LENGTH - 1)
epochs = 200
batch_size = 256
filter = 256
kernel = 3
stride = 1
initializer = 'he_normal'
regularizer = 0.0005
res_num = 19
simulations = 300
gamma = 1.0
selfmatch = 200
cycles = 200
parallel_match = 10
eval_match = 10
c_put = 1.0
alpha = 0.35
eps = 0.25 |
_base_ = '../detectors/detectors_htc_r101_64x4d_1x_coco.py'
model = dict(
pretrained='open-mmlab://resnext101_64x4d',
backbone=dict(
type='DetectoRS_ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=True,
style='pytorch',
conv_cfg=dict(type='ConvAWS'),
sac=dict(type='SAC', use_deform=True),
stage_with_sac=(False, True, True, True),
output_img=True),
neck=dict(
type='RFP',
rfp_steps=2,
aspp_out_channels=64,
aspp_dilations=(1, 3, 6, 1),
rfp_backbone=dict(
rfp_inplanes=256,
type='DetectoRS_ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=True,
conv_cfg=dict(type='ConvAWS'),
sac=dict(type='SAC', use_deform=True),
stage_with_sac=(False, True, True, True),
pretrained='open-mmlab://resnext101_64x4d',
style='pytorch')),
roi_head=dict(
bbox_head=[
dict(
type='Shared2FCBBoxHead',
in_channels=256,
fc_out_channels=1024,
roi_feat_size=7,
num_classes=1230,
bbox_coder=dict(
type='DeltaXYWHBBoxCoder',
target_means=[0., 0., 0., 0.],
target_stds=[0.1, 0.1, 0.2, 0.2]),
reg_class_agnostic=True,
loss_cls=dict(
type='CrossEntropyLoss',
use_sigmoid=False,
loss_weight=1.0),
loss_bbox=dict(type='SmoothL1Loss', beta=1.0,
loss_weight=1.0)),
dict(
type='Shared2FCBBoxHead',
in_channels=256,
fc_out_channels=1024,
roi_feat_size=7,
num_classes=1230,
bbox_coder=dict(
type='DeltaXYWHBBoxCoder',
target_means=[0., 0., 0., 0.],
target_stds=[0.05, 0.05, 0.1, 0.1]),
reg_class_agnostic=True,
loss_cls=dict(
type='CrossEntropyLoss',
use_sigmoid=False,
loss_weight=1.0),
loss_bbox=dict(type='SmoothL1Loss', beta=1.0,
loss_weight=1.0)),
dict(
type='Shared2FCBBoxHead',
in_channels=256,
fc_out_channels=1024,
roi_feat_size=7,
num_classes=1230,
bbox_coder=dict(
type='DeltaXYWHBBoxCoder',
target_means=[0., 0., 0., 0.],
target_stds=[0.033, 0.033, 0.067, 0.067]),
reg_class_agnostic=True,
loss_cls=dict(
type='CrossEntropyLoss',
use_sigmoid=False,
loss_weight=1.0),
loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0))
],
mask_head=[
dict(
type='HTCMaskHead',
with_conv_res=False,
num_convs=4,
in_channels=256,
conv_out_channels=256,
num_classes=1230,
loss_mask=dict(
type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)),
dict(
type='HTCMaskHead',
num_convs=4,
in_channels=256,
conv_out_channels=256,
num_classes=1230,
loss_mask=dict(
type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)),
dict(
type='HTCMaskHead',
num_convs=4,
in_channels=256,
conv_out_channels=256,
num_classes=1230,
loss_mask=dict(
type='CrossEntropyLoss', use_mask=True, loss_weight=1.0))
]))
# model training and testing settings
train_cfg = dict(
rpn=dict(
assigner=dict(
type='MaxIoUAssigner',
pos_iou_thr=0.7,
neg_iou_thr=0.3,
min_pos_iou=0.3,
ignore_iof_thr=-1),
sampler=dict(
type='RandomSampler',
num=256,
pos_fraction=0.5,
neg_pos_ub=-1,
add_gt_as_proposals=False),
allowed_border=0,
pos_weight=-1,
debug=False),
rpn_proposal=dict(
nms_across_levels=False,
nms_pre=2000,
nms_post=2000,
max_num=2000,
nms_thr=0.7,
min_bbox_size=0),
rcnn=[
dict(
assigner=dict(
type='MaxIoUAssigner',
pos_iou_thr=0.5,
neg_iou_thr=0.5,
min_pos_iou=0.5,
ignore_iof_thr=-1),
sampler=dict(
type='RandomSampler',
num=512,
pos_fraction=0.25,
neg_pos_ub=-1,
add_gt_as_proposals=True),
mask_size=28,
pos_weight=-1,
debug=False),
dict(
assigner=dict(
type='MaxIoUAssigner',
pos_iou_thr=0.6,
neg_iou_thr=0.6,
min_pos_iou=0.6,
ignore_iof_thr=-1),
sampler=dict(
type='RandomSampler',
num=512,
pos_fraction=0.25,
neg_pos_ub=-1,
add_gt_as_proposals=True),
mask_size=28,
pos_weight=-1,
debug=False),
dict(
assigner=dict(
type='MaxIoUAssigner',
pos_iou_thr=0.7,
neg_iou_thr=0.7,
min_pos_iou=0.7,
ignore_iof_thr=-1),
sampler=dict(
type='RandomSampler',
num=512,
pos_fraction=0.25,
neg_pos_ub=-1,
add_gt_as_proposals=True),
mask_size=28,
pos_weight=-1,
debug=False)
],
stage_loss_weights=[1, 0.5, 0.25])
test_cfg = dict(
rpn=dict(
nms_across_levels=False,
nms_pre=1000,
nms_post=1000,
max_num=1000,
nms_thr=0.7,
min_bbox_size=0),
rcnn=dict(
score_thr=0.0001,
nms=dict(type='nms', iou_thr=0.5),
# LVIS allows up to 300
max_per_img=300,
mask_thr_binary=0.5)
)
# dataset settings
dataset_type = 'LVISDataset'
data_root = 'data/lvis/'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
train_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='LoadAnnotations', with_bbox=True, with_mask=True, with_seg=True, poly2mask=False),
dict(
type='Resize',
img_scale=[(1600, 400), (1600, 1400)],
multiscale_mode='range',
keep_ratio=True),
dict(type='RandomFlip', flip_ratio=0.5),
dict(type='Normalize', **img_norm_cfg),
dict(type='Pad', size_divisor=32),
dict(type='SegRescale', scale_factor=1 / 8),
dict(type='DefaultFormatBundle'),
dict(
type='Collect',
keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks', 'gt_semantic_seg']),
]
test_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='MultiScaleFlipAug',
img_scale=(1333, 800),
flip=False,
transforms=[
dict(type='Resize', keep_ratio=True),
dict(type='RandomFlip', flip_ratio=0.5),
dict(type='Normalize', **img_norm_cfg),
dict(type='Pad', size_divisor=32),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img']),
])
]
data = dict(
samples_per_gpu=1,
workers_per_gpu=1,
train=dict(
type='ClassBalancedDataset',
oversample_thr=1e-3,
dataset=dict(
type=dataset_type,
ann_file=data_root + 'lvis_v0.5_train.json',
seg_prefix=data_root + 'stuffthingmaps/train2017/',
img_prefix=data_root + 'train2017/',
pipeline=train_pipeline)),
val=dict(
type=dataset_type,
ann_file=data_root + 'lvis_v0.5_val.json',
img_prefix=data_root + 'val2017/',
pipeline=test_pipeline),
test=dict(
type=dataset_type,
ann_file=data_root + 'lvis_v0.5_val.json',
img_prefix=data_root + 'val2017/',
pipeline=test_pipeline))
evaluation = dict(metric=['bbox', 'segm'])
# optimizer
optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)
optimizer_config = dict(grad_clip=None)
# learning policy
lr_config = dict(
policy='step',
warmup='linear',
warmup_iters=500,
warmup_ratio=0.001,
step=[16, 19])
total_epochs = 20
checkpoint_config = dict(interval=1)
# yapf:disable
log_config = dict(
interval=50,
hooks=[
dict(type='TextLoggerHook'),
# dict(type='TensorboardLoggerHook')
])
# yapf:enable
dist_params = dict(backend='nccl')
log_level = 'INFO'
load_from = None
resume_from = None
workflow = [('train', 1)]
| _base_ = '../detectors/detectors_htc_r101_64x4d_1x_coco.py'
model = dict(pretrained='open-mmlab://resnext101_64x4d', backbone=dict(type='DetectoRS_ResNeXt', depth=101, groups=64, base_width=4, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=1, norm_cfg=dict(type='BN', requires_grad=True), norm_eval=True, style='pytorch', conv_cfg=dict(type='ConvAWS'), sac=dict(type='SAC', use_deform=True), stage_with_sac=(False, True, True, True), output_img=True), neck=dict(type='RFP', rfp_steps=2, aspp_out_channels=64, aspp_dilations=(1, 3, 6, 1), rfp_backbone=dict(rfp_inplanes=256, type='DetectoRS_ResNeXt', depth=101, groups=64, base_width=4, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=1, norm_cfg=dict(type='BN', requires_grad=True), norm_eval=True, conv_cfg=dict(type='ConvAWS'), sac=dict(type='SAC', use_deform=True), stage_with_sac=(False, True, True, True), pretrained='open-mmlab://resnext101_64x4d', style='pytorch')), roi_head=dict(bbox_head=[dict(type='Shared2FCBBoxHead', in_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=1230, bbox_coder=dict(type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.1, 0.1, 0.2, 0.2]), reg_class_agnostic=True, loss_cls=dict(type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0)), dict(type='Shared2FCBBoxHead', in_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=1230, bbox_coder=dict(type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.05, 0.05, 0.1, 0.1]), reg_class_agnostic=True, loss_cls=dict(type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0)), dict(type='Shared2FCBBoxHead', in_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=1230, bbox_coder=dict(type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.033, 0.033, 0.067, 0.067]), reg_class_agnostic=True, loss_cls=dict(type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0))], mask_head=[dict(type='HTCMaskHead', with_conv_res=False, num_convs=4, in_channels=256, conv_out_channels=256, num_classes=1230, loss_mask=dict(type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)), dict(type='HTCMaskHead', num_convs=4, in_channels=256, conv_out_channels=256, num_classes=1230, loss_mask=dict(type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)), dict(type='HTCMaskHead', num_convs=4, in_channels=256, conv_out_channels=256, num_classes=1230, loss_mask=dict(type='CrossEntropyLoss', use_mask=True, loss_weight=1.0))]))
train_cfg = dict(rpn=dict(assigner=dict(type='MaxIoUAssigner', pos_iou_thr=0.7, neg_iou_thr=0.3, min_pos_iou=0.3, ignore_iof_thr=-1), sampler=dict(type='RandomSampler', num=256, pos_fraction=0.5, neg_pos_ub=-1, add_gt_as_proposals=False), allowed_border=0, pos_weight=-1, debug=False), rpn_proposal=dict(nms_across_levels=False, nms_pre=2000, nms_post=2000, max_num=2000, nms_thr=0.7, min_bbox_size=0), rcnn=[dict(assigner=dict(type='MaxIoUAssigner', pos_iou_thr=0.5, neg_iou_thr=0.5, min_pos_iou=0.5, ignore_iof_thr=-1), sampler=dict(type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False), dict(assigner=dict(type='MaxIoUAssigner', pos_iou_thr=0.6, neg_iou_thr=0.6, min_pos_iou=0.6, ignore_iof_thr=-1), sampler=dict(type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False), dict(assigner=dict(type='MaxIoUAssigner', pos_iou_thr=0.7, neg_iou_thr=0.7, min_pos_iou=0.7, ignore_iof_thr=-1), sampler=dict(type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False)], stage_loss_weights=[1, 0.5, 0.25])
test_cfg = dict(rpn=dict(nms_across_levels=False, nms_pre=1000, nms_post=1000, max_num=1000, nms_thr=0.7, min_bbox_size=0), rcnn=dict(score_thr=0.0001, nms=dict(type='nms', iou_thr=0.5), max_per_img=300, mask_thr_binary=0.5))
dataset_type = 'LVISDataset'
data_root = 'data/lvis/'
img_norm_cfg = dict(mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
train_pipeline = [dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True, with_seg=True, poly2mask=False), dict(type='Resize', img_scale=[(1600, 400), (1600, 1400)], multiscale_mode='range', keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict(type='Normalize', **img_norm_cfg), dict(type='Pad', size_divisor=32), dict(type='SegRescale', scale_factor=1 / 8), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks', 'gt_semantic_seg'])]
test_pipeline = [dict(type='LoadImageFromFile'), dict(type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[dict(type='Resize', keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict(type='Normalize', **img_norm_cfg), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img'])])]
data = dict(samples_per_gpu=1, workers_per_gpu=1, train=dict(type='ClassBalancedDataset', oversample_thr=0.001, dataset=dict(type=dataset_type, ann_file=data_root + 'lvis_v0.5_train.json', seg_prefix=data_root + 'stuffthingmaps/train2017/', img_prefix=data_root + 'train2017/', pipeline=train_pipeline)), val=dict(type=dataset_type, ann_file=data_root + 'lvis_v0.5_val.json', img_prefix=data_root + 'val2017/', pipeline=test_pipeline), test=dict(type=dataset_type, ann_file=data_root + 'lvis_v0.5_val.json', img_prefix=data_root + 'val2017/', pipeline=test_pipeline))
evaluation = dict(metric=['bbox', 'segm'])
optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)
optimizer_config = dict(grad_clip=None)
lr_config = dict(policy='step', warmup='linear', warmup_iters=500, warmup_ratio=0.001, step=[16, 19])
total_epochs = 20
checkpoint_config = dict(interval=1)
log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')])
dist_params = dict(backend='nccl')
log_level = 'INFO'
load_from = None
resume_from = None
workflow = [('train', 1)] |
routers = dict(
BASE = dict(
routes_onerror = [
('3muses/*', '3muses/default/handle_error')
]
)) | routers = dict(BASE=dict(routes_onerror=[('3muses/*', '3muses/default/handle_error')])) |
class Triangulo:
def __init__(self):
self.lado1 = int(input('Ingrese el primer lado: '))
self.lado2 = int(input('Ingrese el segundo lado: '))
self.lado3 = int(input('Ingrese el tercer lado: '))
def mayor(self):
if self.lado1>self.lado2 and self.lado1>self.lado3 :
print(f'El lado con valor {self.lado1} es el mayor')
elif self.lado2>self.lado3:
print(f'El lado con valor {self.lado2} es el mayor')
else :
print(f'El lado con valor {self.lado3} es el mayor')
def calcular(self):
if self.lado1 == self.lado2 and self.lado1 == self.lado3 :
print('Es un triagunlo equilatero')
elif self.lado1 != self.lado2 and self.lado1 != self.lado3 :
print('Es un triangulo escaleno')
else:
print('Es un triangulo isosceles')
obj1 = Triangulo()
obj1.mayor()
obj1.calcular() | class Triangulo:
def __init__(self):
self.lado1 = int(input('Ingrese el primer lado: '))
self.lado2 = int(input('Ingrese el segundo lado: '))
self.lado3 = int(input('Ingrese el tercer lado: '))
def mayor(self):
if self.lado1 > self.lado2 and self.lado1 > self.lado3:
print(f'El lado con valor {self.lado1} es el mayor')
elif self.lado2 > self.lado3:
print(f'El lado con valor {self.lado2} es el mayor')
else:
print(f'El lado con valor {self.lado3} es el mayor')
def calcular(self):
if self.lado1 == self.lado2 and self.lado1 == self.lado3:
print('Es un triagunlo equilatero')
elif self.lado1 != self.lado2 and self.lado1 != self.lado3:
print('Es un triangulo escaleno')
else:
print('Es un triangulo isosceles')
obj1 = triangulo()
obj1.mayor()
obj1.calcular() |
__all__ = [
"__title__", "__summary__", "__uri__", "__version__", "__author__",
"__license__", "__copyright__",
]
__title__ = "warzone_map_utils"
__summary__ = "Map generation and validation repository"
__uri__ = "https://github.com/rmudambi/warlight-maps"
__version__ = "1.0.0"
__author__ = "Beren Erchamion"
__license__ = "GNU GPLv3"
__copyright__ = f"Copyright 2022 {__author__}"
| __all__ = ['__title__', '__summary__', '__uri__', '__version__', '__author__', '__license__', '__copyright__']
__title__ = 'warzone_map_utils'
__summary__ = 'Map generation and validation repository'
__uri__ = 'https://github.com/rmudambi/warlight-maps'
__version__ = '1.0.0'
__author__ = 'Beren Erchamion'
__license__ = 'GNU GPLv3'
__copyright__ = f'Copyright 2022 {__author__}' |
def river_travelling(cost_matrix):
N = len(cost_matrix)
M = [[0 for x in range(N)] for x in range(N)]
for steps in range(1, N):
for i in range(N - steps):
j = i + steps
lowest = cost_matrix[i][j]
for k in range(i + 1, j):
lowest = min(lowest, M[k][j] + M[i][k])
M[i][j] = lowest
return M[0][-1] | def river_travelling(cost_matrix):
n = len(cost_matrix)
m = [[0 for x in range(N)] for x in range(N)]
for steps in range(1, N):
for i in range(N - steps):
j = i + steps
lowest = cost_matrix[i][j]
for k in range(i + 1, j):
lowest = min(lowest, M[k][j] + M[i][k])
M[i][j] = lowest
return M[0][-1] |
# coding: utf-8
# # Functions (2) - Using Functions
# In the last lesson we saw how to create a function using the <code>def</code> keyword. We found out how to pass arguments to a function and how to use these arguments within the function. Finally, we learnt how to return one or many objects from the function, and that we need to assign the output of the function to a variable (or variables).
#
# In this lesson we're going to practise writing functions. We'll write a few practise functions to help us review what we learnt in the last lesson, before writing a function that we'll actually be able to use when making our charts.
#
# ## Review - Writing some simple functions
#
# We'll use this as a opportunity to practise what you've learnt about functions, the exercises below use concepts which you have already learnt in this course.
#
# ### 1
# Your first challenge is to write a function which takes one string and one number (n). The function should return a string that is n copies of the string:
#
# ````
# stringMultiply('hi', 5) --> 'hihihihihi'
# stringMultiply('one', 2) --> 'oneone'
# ````
# ### 2
# Write a function which takes two strings and returns the longer of the two strings. If the strings are the same length return one string which is both strings concatenated together:
#
# ````
# stringCompare('hi', 'hiya') --> 'hiya'
# stringCompare('hi', 'ab') --> 'hiab'
# ````
# ### 3
# Write a function which takes one string and one number (n) as inputs. The function should return a string which is the concatenation of the first n characters and the last n characters of the string. If the length of the string is less than n, the function should return "I'm sorry Dave, I can't do that.".
#
# ````
# stringFirstLast('purple', 2) --> 'pule'
# stringFirstLast('hi', 2) --> 'hihi'
# stringFirstLast('hi', 3) --> "I'm sorry Dave, I can't do that."
# ````
# ## Answers
#
# These answers do not show the only way of solving the problem, as with everything in programming, there are several solutions!
#
# ### 1
# In[1]:
def stringMultiply(stringIn, number):
return stringIn * number
test1 = stringMultiply('hi', 5)
test2 = stringMultiply('one', 2)
print(test1, test2)
# ### 2
# In[2]:
def stringCompare(string1, string2):
if len(string1) > len(string2):
return string1
elif len(string2) > len(string1):
return string2
else:
return string1 + string2
test3 = stringCompare('hi', 'hiya')
test4 = stringCompare('hi', 'ab')
print(test3, test4)
# In[3]:
def stringFirstLast(stringIn, number):
if number > len(stringIn):
return "I'm sorry Dave, I can't do that."
else:
return stringIn[:number] + stringIn[-number:]
test5 = stringFirstLast('purple', 2)
test6 = stringFirstLast('hi', 2)
test7 = stringFirstLast('hi', 3)
print(test5, test6, test7)
# ## Using functions to help us create awesome visualisations
#
# So hopefully you're feeling well-practised and ready to apply what we've learnt!
#
# In this lesson we'll explore a couple of different use cases for functions which we'll apply later in the course.
#
# ### Using functions to set the colour of a data item
#
# Colour is an incredibly important aspect of any visualisation. We can use colour to group different data together, or to set them apart. In this example, we'll write a function which will set the colour of a data item depending on it's value. This function is directly applicable to code which we'll write; you can set the colours in Plotly by using the colour names (as well as in many other ways too!).
#
# Have a go at writing the function yourself according to the specification below. If you get stuck, have a peek at the answer! Remember, there's always more than one solution, so don't take my version as the only way. If you code something and it works; great!
#
# ##### Write a function that takes two numbers as inputs. The first number is the value of the data item, and the second is the threshold at which we want the colour of that data item to change. The function should return 'Blue' if the first number is less than or equal to the second, and 'Red' otherwise.
#
# ````
# chooseColour(50, 60) --> 'Blue'
# chooseColour(50, 40) --> 'Red'
# ````
# In[4]:
def chooseColour(value, threshold):
if value <= threshold:
return 'Blue'
else:
return 'Red'
test1 = chooseColour(50,60)
test2 = chooseColour(50,40)
print(test1, test2)
# ### What have we learnt this lesson?
# In this lesson we've reviewed how to write functions. We did three practise functions to solidify the knowledge from the last lesson, and we also created two helper functions which we'll be able to reuse throughout the course.
# If you have any questions, please ask in the comments section or email <a href="mailto:me@richard-muir.com">me@richard-muir.com</a>
| def string_multiply(stringIn, number):
return stringIn * number
test1 = string_multiply('hi', 5)
test2 = string_multiply('one', 2)
print(test1, test2)
def string_compare(string1, string2):
if len(string1) > len(string2):
return string1
elif len(string2) > len(string1):
return string2
else:
return string1 + string2
test3 = string_compare('hi', 'hiya')
test4 = string_compare('hi', 'ab')
print(test3, test4)
def string_first_last(stringIn, number):
if number > len(stringIn):
return "I'm sorry Dave, I can't do that."
else:
return stringIn[:number] + stringIn[-number:]
test5 = string_first_last('purple', 2)
test6 = string_first_last('hi', 2)
test7 = string_first_last('hi', 3)
print(test5, test6, test7)
def choose_colour(value, threshold):
if value <= threshold:
return 'Blue'
else:
return 'Red'
test1 = choose_colour(50, 60)
test2 = choose_colour(50, 40)
print(test1, test2) |
class config():
# env config
render_train = True
render_test = False
env_name = "Pong-v0"
overwrite_render = True
record = True
high = 255.
# output config
output_path = "results/test/"
model_output = output_path + "model.weights/"
log_path = output_path + "log.txt"
plot_output = output_path + "scores.png"
record_path = output_path + "video/"
# model and training config
num_episodes_test = 10
grad_clip = True
clip_val = 10
saving_freq = 1000
log_freq = 50
eval_freq = 1000
record_freq = 1000
soft_epsilon = 0.05
# nature paper hyper params
nsteps_train = 10000
batch_size = 32
buffer_size = 1000
target_update_freq = 1000
gamma = 0.99
learning_freq = 4
state_history = 4
skip_frame = 4
lr = 0.0001
eps_begin = 1
eps_end = 0.1
eps_nsteps = 1000
learning_start = 500
| class Config:
render_train = True
render_test = False
env_name = 'Pong-v0'
overwrite_render = True
record = True
high = 255.0
output_path = 'results/test/'
model_output = output_path + 'model.weights/'
log_path = output_path + 'log.txt'
plot_output = output_path + 'scores.png'
record_path = output_path + 'video/'
num_episodes_test = 10
grad_clip = True
clip_val = 10
saving_freq = 1000
log_freq = 50
eval_freq = 1000
record_freq = 1000
soft_epsilon = 0.05
nsteps_train = 10000
batch_size = 32
buffer_size = 1000
target_update_freq = 1000
gamma = 0.99
learning_freq = 4
state_history = 4
skip_frame = 4
lr = 0.0001
eps_begin = 1
eps_end = 0.1
eps_nsteps = 1000
learning_start = 500 |
with open("sleepy.in") as input_file:
input_file.readline()
cows = list(map(int, input_file.readline().split()))
def is_list_sorted(lst):
return all(elem >= lst[index] for index, elem in enumerate(lst[1:]))
t = 0
sorted_cows = cows.copy()
for cow in cows:
if is_list_sorted(sorted_cows):
break
if cow > sorted_cows[-1]:
sorted_cows.remove(cow)
sorted_cows.append(cow)
else:
i = len(cows) - 1
while cow < sorted_cows[i]:
i -= 1
sorted_cows.remove(cow)
sorted_cows.insert(i, cow)
t += 1
with open("sleepy.out", "w") as output_file:
output_file.write(str(t))
| with open('sleepy.in') as input_file:
input_file.readline()
cows = list(map(int, input_file.readline().split()))
def is_list_sorted(lst):
return all((elem >= lst[index] for (index, elem) in enumerate(lst[1:])))
t = 0
sorted_cows = cows.copy()
for cow in cows:
if is_list_sorted(sorted_cows):
break
if cow > sorted_cows[-1]:
sorted_cows.remove(cow)
sorted_cows.append(cow)
else:
i = len(cows) - 1
while cow < sorted_cows[i]:
i -= 1
sorted_cows.remove(cow)
sorted_cows.insert(i, cow)
t += 1
with open('sleepy.out', 'w') as output_file:
output_file.write(str(t)) |
# Variable for registering new components
# Add a new component here and define a file with the name <component_name>.py and override the main variables
COMPONENTS = ["aggregations-spot", "gbdisagg-spot"]
| components = ['aggregations-spot', 'gbdisagg-spot'] |
FEATURES = [
'Post_Top_comment_Jaccard_sim', 'Post_Top_comment_topic_cosine_similarity',
'Post_text', 'Post_topic0', 'Post_topic1', 'Post_topic10', 'Post_topic11',
'Post_topic12', 'Post_topic13', 'Post_topic14', 'Post_topic15', 'Post_topic16',
'Post_topic17', 'Post_topic18', 'Post_topic2', 'Post_topic3', 'Post_topic4',
'Post_topic5', 'Post_topic6', 'Post_topic7', 'Post_topic8', 'Post_topic9',
'Top_comment_advice_count', 'Top_comment_agreement_value',
'Top_comment_and_Post_time_difference', 'Top_comment_author',
'Top_comment_author_gender_value', 'Top_comment_compliments_count',
'Top_comment_day', 'Top_comment_day_of_week', 'Top_comment_fundraising_URL_count',
'Top_comment_gratitude_count', 'Top_comment_hour', 'Top_comment_i_language_count',
'Top_comment_informative_URL_count', 'Top_comment_informative_count',
'Top_comment_laughter_count', 'Top_comment_link_count', 'Top_comment_mispellings',
'Top_comment_polarity', 'Top_comment_politeness_value',
'Top_comment_readability', 'Top_comment_score', 'Top_comment_subjectivity',
'Top_comment_subreddit', 'Top_comment_support_value', 'Top_comment_text',
'Top_comment_topic0', 'Top_comment_topic1', 'Top_comment_topic10',
'Top_comment_topic11', 'Top_comment_topic12', 'Top_comment_topic13',
'Top_comment_topic14', 'Top_comment_topic15', 'Top_comment_topic16',
'Top_comment_topic17', 'Top_comment_topic18', 'Top_comment_topic2',
'Top_comment_topic3', 'Top_comment_topic4', 'Top_comment_topic5',
'Top_comment_topic6', 'Top_comment_topic7', 'Top_comment_topic8',
'Top_comment_topic9', 'Top_comment_tuned_toxicity', 'Top_comment_untuned_toxicity',
'Top_comment_word_count'
] # 69 features
ALBERT_META_FEATURES = [
'Post_Top_comment_Jaccard_sim', 'Post_Top_comment_topic_cosine_similarity',
'Post_topic0', 'Post_topic1', 'Post_topic10', 'Post_topic11',
'Post_topic12', 'Post_topic13', 'Post_topic14', 'Post_topic15', 'Post_topic16',
'Post_topic17', 'Post_topic18', 'Post_topic2', 'Post_topic3', 'Post_topic4',
'Post_topic5', 'Post_topic6', 'Post_topic7', 'Post_topic8', 'Post_topic9',
'Top_comment_advice_count', 'Top_comment_agreement_value',
'Top_comment_and_Post_time_difference',
'Top_comment_author_gender_value', 'Top_comment_compliments_count',
'Top_comment_day', 'Top_comment_day_of_week', 'Top_comment_fundraising_URL_count',
'Top_comment_gratitude_count', 'Top_comment_hour', 'Top_comment_i_language_count',
'Top_comment_informative_URL_count', 'Top_comment_informative_count',
'Top_comment_laughter_count', 'Top_comment_link_count', 'Top_comment_mispellings',
'Top_comment_polarity', 'Top_comment_politeness_value',
'Top_comment_readability', 'Top_comment_score', 'Top_comment_subjectivity', 'Top_comment_support_value',
'Top_comment_topic0', 'Top_comment_topic1', 'Top_comment_topic10',
'Top_comment_topic11', 'Top_comment_topic12', 'Top_comment_topic13',
'Top_comment_topic14', 'Top_comment_topic15', 'Top_comment_topic16',
'Top_comment_topic17', 'Top_comment_topic18', 'Top_comment_topic2',
'Top_comment_topic3', 'Top_comment_topic4', 'Top_comment_topic5',
'Top_comment_topic6', 'Top_comment_topic7', 'Top_comment_topic8',
'Top_comment_topic9', 'Top_comment_tuned_toxicity', 'Top_comment_untuned_toxicity',
'Top_comment_word_count'
] # 65 features: it does not include 'Top_comment_author', 'Top_comment_subreddit', 'Top_comment_text', 'Post_text'
XGBOOST_FEATURES = ['Top_comment_and_Post_time_difference', 'Top_comment_day', 'Top_comment_day_of_week', 'Top_comment_hour', 'Top_comment_link_count', 'Top_comment_score', 'Top_comment_mispellings', 'Top_comment_author_gender_value', 'Top_comment_agreement_value', 'Top_comment_support_value', 'Top_comment_politeness_value', 'Top_comment_informative_count', 'Top_comment_advice_count', 'Top_comment_laughter_count', 'Top_comment_gratitude_count', 'Top_comment_fundraising_URL_count', 'Top_comment_informative_URL_count', 'Top_comment_i_language_count', 'Top_comment_compliments_count', 'Top_comment_tuned_toxicity', 'Top_comment_untuned_toxicity', 'Top_comment_topic0', 'Top_comment_topic1', 'Top_comment_topic2', 'Top_comment_topic3', 'Top_comment_topic4', 'Top_comment_topic5', 'Top_comment_topic6', 'Top_comment_topic7', 'Top_comment_topic8', 'Top_comment_topic9', 'Top_comment_topic10', 'Top_comment_topic11', 'Top_comment_topic12', 'Top_comment_topic13', 'Top_comment_topic14', 'Top_comment_topic15', 'Top_comment_topic16', 'Top_comment_topic17', 'Top_comment_topic18', 'Post_topic0', 'Post_topic1', 'Post_topic2', 'Post_topic3', 'Post_topic4', 'Post_topic5', 'Post_topic6', 'Post_topic7', 'Post_topic8', 'Post_topic9', 'Post_topic10', 'Post_topic11', 'Post_topic12', 'Post_topic13', 'Post_topic14', 'Post_topic15', 'Post_topic16', 'Post_topic17', 'Post_topic18', 'Post_Top_comment_topic_cosine_similarity', 'Post_Top_comment_Jaccard_sim', 'Top_comment_polarity', 'Top_comment_subjectivity', 'Top_comment_word_count', 'Top_comment_readability', 'Top_comment_unigram0', 'Top_comment_unigram1', 'Top_comment_unigram2', 'Top_comment_unigram3', 'Top_comment_unigram4', 'Top_comment_unigram5', 'Top_comment_unigram6', 'Top_comment_unigram7', 'Top_comment_unigram8', 'Top_comment_unigram9', 'Top_comment_unigram10', 'Top_comment_unigram11', 'Top_comment_unigram12', 'Top_comment_unigram13', 'Top_comment_unigram14', 'Top_comment_unigram15', 'Top_comment_unigram16', 'Top_comment_unigram17', 'Top_comment_unigram18', 'Top_comment_unigram19', 'Top_comment_unigram20', 'Top_comment_unigram21', 'Top_comment_unigram22', 'Top_comment_unigram23', 'Top_comment_unigram24', 'Top_comment_unigram25', 'Top_comment_unigram26', 'Top_comment_unigram27', 'Top_comment_unigram28', 'Top_comment_unigram29', 'Top_comment_unigram30', 'Top_comment_unigram31', 'Top_comment_unigram32', 'Top_comment_unigram33', 'Top_comment_unigram34', 'Top_comment_unigram35', 'Top_comment_unigram36', 'Top_comment_unigram37', 'Top_comment_unigram38', 'Top_comment_unigram39', 'Top_comment_unigram40', 'Top_comment_unigram41', 'Top_comment_unigram42', 'Top_comment_unigram43', 'Top_comment_unigram44', 'Top_comment_unigram45', 'Top_comment_unigram46', 'Top_comment_unigram47', 'Top_comment_unigram48', 'Top_comment_unigram49', 'Top_comment_unigram50', 'Top_comment_unigram51', 'Top_comment_unigram52', 'Top_comment_unigram53', 'Top_comment_unigram54', 'Top_comment_unigram55', 'Top_comment_unigram56', 'Top_comment_unigram57', 'Top_comment_unigram58', 'Top_comment_unigram59', 'Top_comment_unigram60', 'Top_comment_unigram61', 'Top_comment_unigram62', 'Top_comment_unigram63', 'Top_comment_unigram64', 'Top_comment_unigram65', 'Top_comment_unigram66', 'Top_comment_unigram67', 'Top_comment_unigram68', 'Top_comment_unigram69', 'Top_comment_unigram70', 'Top_comment_unigram71', 'Top_comment_unigram72', 'Top_comment_unigram73', 'Top_comment_unigram74', 'Top_comment_unigram75', 'Top_comment_unigram76', 'Top_comment_unigram77', 'Top_comment_unigram78', 'Top_comment_unigram79', 'Top_comment_unigram80', 'Top_comment_unigram81', 'Top_comment_unigram82', 'Top_comment_unigram83', 'Top_comment_unigram84', 'Top_comment_unigram85', 'Top_comment_unigram86', 'Top_comment_unigram87', 'Top_comment_unigram88', 'Top_comment_unigram89', 'Top_comment_unigram90', 'Top_comment_unigram91', 'Top_comment_unigram92', 'Top_comment_unigram93', 'Top_comment_unigram94', 'Top_comment_unigram95', 'Top_comment_unigram96', 'Top_comment_unigram97', 'Top_comment_unigram98', 'Top_comment_unigram99', 'Top_comment_unigram100', 'Top_comment_unigram101', 'Top_comment_unigram102', 'Top_comment_unigram103', 'Top_comment_unigram104', 'Top_comment_unigram105', 'Top_comment_unigram106', 'Top_comment_unigram107', 'Top_comment_unigram108', 'Top_comment_unigram109', 'Top_comment_unigram110', 'Top_comment_unigram111', 'Top_comment_unigram112', 'Top_comment_unigram113', 'Top_comment_unigram114', 'Top_comment_unigram115', 'Top_comment_unigram116', 'Top_comment_unigram117', 'Top_comment_unigram118', 'Top_comment_unigram119', 'Top_comment_unigram120', 'Top_comment_unigram121', 'Top_comment_unigram122', 'Top_comment_unigram123', 'Top_comment_unigram124', 'Top_comment_unigram125', 'Top_comment_unigram126', 'Top_comment_unigram127', 'Top_comment_unigram128', 'Top_comment_unigram129', 'Top_comment_unigram130', 'Top_comment_unigram131', 'Top_comment_unigram132', 'Top_comment_unigram133', 'Top_comment_unigram134', 'Top_comment_unigram135', 'Top_comment_unigram136', 'Top_comment_unigram137', 'Top_comment_unigram138', 'Top_comment_unigram139', 'Top_comment_unigram140', 'Top_comment_unigram141', 'Top_comment_unigram142', 'Top_comment_unigram143', 'Top_comment_unigram144', 'Top_comment_unigram145', 'Top_comment_unigram146', 'Top_comment_unigram147', 'Top_comment_unigram148', 'Top_comment_unigram149', 'Top_comment_unigram150', 'Top_comment_unigram151', 'Top_comment_unigram152', 'Top_comment_unigram153', 'Top_comment_unigram154', 'Top_comment_unigram155', 'Top_comment_unigram156', 'Top_comment_unigram157', 'Top_comment_unigram158', 'Top_comment_unigram159', 'Top_comment_unigram160', 'Top_comment_unigram161', 'Top_comment_unigram162', 'Top_comment_unigram163', 'Top_comment_unigram164', 'Top_comment_unigram165', 'Top_comment_unigram166', 'Top_comment_unigram167', 'Top_comment_unigram168', 'Top_comment_unigram169', 'Top_comment_unigram170', 'Top_comment_unigram171', 'Top_comment_unigram172', 'Top_comment_unigram173', 'Top_comment_unigram174', 'Top_comment_unigram175', 'Top_comment_unigram176', 'Top_comment_unigram177', 'Top_comment_unigram178', 'Top_comment_unigram179', 'Top_comment_unigram180', 'Top_comment_unigram181', 'Top_comment_unigram182', 'Top_comment_unigram183', 'Top_comment_unigram184', 'Top_comment_unigram185', 'Top_comment_unigram186', 'Top_comment_unigram187', 'Top_comment_unigram188', 'Top_comment_unigram189', 'Top_comment_unigram190', 'Top_comment_unigram191', 'Top_comment_unigram192', 'Top_comment_unigram193', 'Top_comment_unigram194', 'Top_comment_unigram195', 'Top_comment_unigram196', 'Top_comment_unigram197', 'Top_comment_unigram198', 'Top_comment_unigram199', 'Top_comment_unigram200', 'Top_comment_unigram201', 'Top_comment_unigram202', 'Top_comment_unigram203', 'Top_comment_unigram204', 'Top_comment_unigram205', 'Top_comment_unigram206', 'Top_comment_unigram207', 'Top_comment_unigram208', 'Top_comment_unigram209', 'Top_comment_unigram210', 'Top_comment_unigram211', 'Top_comment_unigram212', 'Top_comment_unigram213', 'Top_comment_unigram214', 'Top_comment_unigram215', 'Top_comment_unigram216', 'Top_comment_unigram217', 'Top_comment_unigram218', 'Top_comment_unigram219', 'Top_comment_unigram220', 'Top_comment_unigram221', 'Top_comment_unigram222', 'Top_comment_unigram223', 'Top_comment_unigram224', 'Top_comment_unigram225', 'Top_comment_unigram226', 'Top_comment_unigram227', 'Top_comment_unigram228', 'Top_comment_unigram229', 'Top_comment_unigram230', 'Top_comment_unigram231', 'Top_comment_unigram232', 'Top_comment_unigram233', 'Top_comment_unigram234', 'Top_comment_unigram235', 'Top_comment_unigram236', 'Top_comment_unigram237', 'Top_comment_unigram238', 'Top_comment_unigram239', 'Top_comment_unigram240', 'Top_comment_unigram241', 'Top_comment_unigram242', 'Top_comment_unigram243', 'Top_comment_unigram244', 'Top_comment_unigram245', 'Top_comment_unigram246', 'Top_comment_unigram247', 'Top_comment_unigram248', 'Top_comment_unigram249', 'Top_comment_unigram250', 'Top_comment_unigram251', 'Top_comment_unigram252', 'Top_comment_unigram253', 'Top_comment_unigram254', 'Top_comment_unigram255', 'Top_comment_unigram256', 'Top_comment_unigram257', 'Top_comment_unigram258', 'Top_comment_unigram259', 'Top_comment_unigram260', 'Top_comment_unigram261', 'Top_comment_unigram262', 'Top_comment_unigram263', 'Top_comment_unigram264', 'Top_comment_unigram265', 'Top_comment_unigram266', 'Top_comment_unigram267', 'Top_comment_unigram268', 'Top_comment_unigram269', 'Top_comment_unigram270', 'Top_comment_unigram271', 'Top_comment_unigram272', 'Top_comment_unigram273', 'Top_comment_unigram274', 'Top_comment_unigram275', 'Top_comment_unigram276', 'Top_comment_unigram277', 'Top_comment_unigram278', 'Top_comment_unigram279', 'Top_comment_unigram280', 'Top_comment_unigram281', 'Top_comment_unigram282', 'Top_comment_unigram283', 'Top_comment_unigram284', 'Top_comment_unigram285', 'Top_comment_unigram286', 'Top_comment_unigram287', 'Top_comment_unigram288', 'Top_comment_unigram289', 'Top_comment_unigram290', 'Top_comment_unigram291', 'Top_comment_unigram292', 'Top_comment_unigram293', 'Top_comment_unigram294', 'Top_comment_unigram295', 'Top_comment_unigram296', 'Top_comment_unigram297', 'Top_comment_unigram298', 'Top_comment_unigram299', 'Top_comment_unigram300', 'Top_comment_unigram301', 'Top_comment_unigram302', 'Top_comment_unigram303', 'Top_comment_unigram304', 'Top_comment_unigram305', 'Top_comment_unigram306', 'Top_comment_unigram307', 'Top_comment_unigram308', 'Top_comment_unigram309', 'Top_comment_unigram310', 'Top_comment_unigram311', 'Top_comment_unigram312', 'Top_comment_unigram313', 'Top_comment_unigram314', 'Top_comment_unigram315', 'Top_comment_unigram316', 'Top_comment_unigram317', 'Top_comment_unigram318', 'Top_comment_unigram319', 'Top_comment_unigram320', 'Top_comment_unigram321', 'Top_comment_unigram322', 'Top_comment_unigram323', 'Top_comment_unigram324', 'Top_comment_unigram325', 'Top_comment_unigram326', 'Top_comment_unigram327', 'Top_comment_unigram328', 'Top_comment_unigram329', 'Top_comment_unigram330', 'Top_comment_unigram331', 'Top_comment_unigram332', 'Top_comment_unigram333', 'Top_comment_unigram334', 'Top_comment_unigram335', 'Top_comment_unigram336', 'Top_comment_unigram337', 'Top_comment_unigram338', 'Top_comment_unigram339', 'Top_comment_unigram340', 'Top_comment_unigram341', 'Top_comment_unigram342', 'Top_comment_unigram343', 'Top_comment_unigram344', 'Top_comment_unigram345', 'Top_comment_unigram346', 'Top_comment_unigram347', 'Top_comment_unigram348', 'Top_comment_unigram349', 'Top_comment_unigram350', 'Top_comment_unigram351', 'Top_comment_unigram352', 'Top_comment_unigram353', 'Top_comment_unigram354', 'Top_comment_unigram355', 'Top_comment_unigram356', 'Top_comment_unigram357', 'Top_comment_unigram358', 'Top_comment_unigram359', 'Top_comment_unigram360', 'Top_comment_unigram361', 'Top_comment_unigram362', 'Top_comment_unigram363', 'Top_comment_unigram364', 'Top_comment_unigram365', 'Top_comment_unigram366', 'Top_comment_unigram367', 'Top_comment_unigram368', 'Top_comment_unigram369', 'Top_comment_unigram370', 'Top_comment_unigram371', 'Top_comment_unigram372', 'Top_comment_unigram373', 'Top_comment_unigram374', 'Top_comment_unigram375', 'Top_comment_unigram376', 'Top_comment_unigram377', 'Top_comment_unigram378', 'Top_comment_unigram379', 'Top_comment_unigram380', 'Top_comment_unigram381', 'Top_comment_unigram382', 'Top_comment_unigram383', 'Top_comment_unigram384', 'Top_comment_unigram385', 'Top_comment_unigram386', 'Top_comment_unigram387', 'Top_comment_unigram388', 'Top_comment_unigram389', 'Top_comment_unigram390', 'Top_comment_unigram391', 'Top_comment_unigram392', 'Top_comment_unigram393', 'Top_comment_unigram394', 'Top_comment_unigram395', 'Top_comment_unigram396', 'Top_comment_unigram397', 'Top_comment_unigram398', 'Top_comment_unigram399', 'Top_comment_unigram400', 'Top_comment_unigram401', 'Top_comment_unigram402', 'Top_comment_unigram403', 'Top_comment_unigram404', 'Top_comment_unigram405', 'Top_comment_unigram406', 'Top_comment_unigram407', 'Top_comment_unigram408', 'Top_comment_unigram409', 'Top_comment_unigram410', 'Top_comment_unigram411', 'Top_comment_unigram412', 'Top_comment_unigram413', 'Top_comment_unigram414', 'Top_comment_unigram415', 'Top_comment_unigram416', 'Top_comment_unigram417', 'Top_comment_unigram418', 'Top_comment_unigram419', 'Top_comment_unigram420', 'Top_comment_unigram421', 'Top_comment_unigram422', 'Top_comment_unigram423', 'Top_comment_unigram424', 'Top_comment_unigram425', 'Top_comment_unigram426', 'Top_comment_unigram427', 'Top_comment_unigram428', 'Top_comment_unigram429', 'Top_comment_unigram430', 'Top_comment_unigram431', 'Top_comment_unigram432', 'Top_comment_unigram433', 'Top_comment_unigram434', 'Top_comment_unigram435', 'Top_comment_unigram436', 'Top_comment_unigram437', 'Top_comment_unigram438', 'Top_comment_unigram439', 'Top_comment_unigram440', 'Top_comment_unigram441', 'Top_comment_unigram442', 'Top_comment_unigram443', 'Top_comment_unigram444', 'Top_comment_unigram445', 'Top_comment_unigram446', 'Top_comment_unigram447', 'Top_comment_unigram448', 'Top_comment_unigram449', 'Top_comment_unigram450', 'Top_comment_unigram451', 'Top_comment_unigram452', 'Top_comment_unigram453', 'Top_comment_unigram454', 'Top_comment_unigram455', 'Top_comment_unigram456', 'Top_comment_unigram457', 'Top_comment_unigram458', 'Top_comment_unigram459', 'Top_comment_unigram460', 'Top_comment_unigram461', 'Top_comment_unigram462', 'Top_comment_unigram463', 'Top_comment_unigram464', 'Top_comment_unigram465', 'Top_comment_unigram466', 'Top_comment_unigram467', 'Top_comment_unigram468', 'Top_comment_unigram469', 'Top_comment_unigram470', 'Top_comment_unigram471', 'Top_comment_unigram472', 'Top_comment_unigram473', 'Top_comment_unigram474', 'Top_comment_unigram475', 'Top_comment_unigram476', 'Top_comment_unigram477', 'Top_comment_unigram478', 'Top_comment_unigram479', 'Top_comment_unigram480', 'Top_comment_unigram481', 'Top_comment_unigram482', 'Top_comment_unigram483', 'Top_comment_unigram484', 'Top_comment_unigram485', 'Top_comment_unigram486', 'Top_comment_unigram487', 'Top_comment_unigram488', 'Top_comment_unigram489', 'Top_comment_unigram490', 'Top_comment_unigram491', 'Top_comment_unigram492', 'Top_comment_unigram493', 'Top_comment_unigram494', 'Top_comment_unigram495', 'Top_comment_unigram496', 'Top_comment_unigram497', 'Top_comment_unigram498', 'Top_comment_unigram499', 'Top_comment_unigram500', 'Top_comment_unigram501', 'Top_comment_unigram502', 'Top_comment_unigram503', 'Top_comment_unigram504', 'Top_comment_unigram505', 'Top_comment_unigram506', 'Top_comment_unigram507', 'Top_comment_unigram508', 'Top_comment_unigram509', 'Top_comment_unigram510', 'Top_comment_unigram511', 'Top_comment_unigram512', 'Top_comment_unigram513', 'Top_comment_unigram514', 'Top_comment_unigram515', 'Top_comment_unigram516', 'Top_comment_unigram517', 'Top_comment_unigram518', 'Top_comment_unigram519', 'Top_comment_unigram520', 'Top_comment_unigram521', 'Top_comment_unigram522', 'Top_comment_unigram523', 'Top_comment_unigram524', 'Top_comment_unigram525', 'Top_comment_unigram526', 'Top_comment_unigram527', 'Top_comment_unigram528', 'Top_comment_unigram529', 'Top_comment_unigram530', 'Top_comment_unigram531', 'Top_comment_unigram532', 'Top_comment_unigram533', 'Top_comment_unigram534', 'Top_comment_unigram535', 'Top_comment_unigram536', 'Top_comment_unigram537', 'Top_comment_unigram538', 'Top_comment_unigram539', 'Top_comment_unigram540', 'Top_comment_unigram541', 'Top_comment_unigram542', 'Top_comment_unigram543', 'Top_comment_unigram544', 'Top_comment_unigram545', 'Top_comment_unigram546', 'Top_comment_unigram547', 'Top_comment_unigram548', 'Top_comment_unigram549', 'Top_comment_unigram550', 'Top_comment_unigram551', 'Top_comment_unigram552', 'Top_comment_unigram553', 'Top_comment_unigram554', 'Top_comment_unigram555', 'Top_comment_unigram556', 'Top_comment_unigram557', 'Top_comment_unigram558', 'Top_comment_unigram559', 'Top_comment_unigram560', 'Top_comment_unigram561', 'Top_comment_unigram562', 'Top_comment_unigram563', 'Top_comment_unigram564', 'Top_comment_unigram565', 'Top_comment_unigram566', 'Top_comment_unigram567', 'Top_comment_unigram568', 'Top_comment_unigram569', 'Top_comment_unigram570', 'Top_comment_unigram571', 'Top_comment_unigram572', 'Top_comment_unigram573', 'Top_comment_unigram574', 'Top_comment_unigram575', 'Top_comment_unigram576', 'Top_comment_unigram577', 'Top_comment_unigram578', 'Top_comment_unigram579', 'Top_comment_unigram580', 'Top_comment_unigram581', 'Top_comment_unigram582', 'Top_comment_unigram583', 'Top_comment_unigram584', 'Top_comment_unigram585', 'Top_comment_unigram586', 'Top_comment_unigram587', 'Top_comment_unigram588', 'Top_comment_unigram589', 'Top_comment_unigram590', 'Top_comment_unigram591', 'Top_comment_unigram592', 'Top_comment_unigram593', 'Top_comment_unigram594', 'Top_comment_unigram595', 'Top_comment_unigram596', 'Top_comment_unigram597', 'Top_comment_unigram598', 'Top_comment_unigram599', 'Top_comment_unigram600', 'Top_comment_unigram601', 'Top_comment_unigram602', 'Top_comment_unigram603', 'Top_comment_unigram604', 'Top_comment_unigram605', 'Top_comment_unigram606', 'Top_comment_unigram607', 'Top_comment_unigram608', 'Top_comment_unigram609', 'Top_comment_unigram610', 'Top_comment_unigram611', 'Top_comment_unigram612', 'Top_comment_unigram613', 'Top_comment_unigram614', 'Top_comment_unigram615', 'Top_comment_unigram616', 'Top_comment_unigram617', 'Top_comment_unigram618', 'Top_comment_unigram619', 'Top_comment_unigram620', 'Top_comment_unigram621', 'Top_comment_unigram622', 'Top_comment_unigram623', 'Top_comment_unigram624', 'Top_comment_unigram625', 'Top_comment_unigram626', 'Top_comment_unigram627', 'Top_comment_unigram628', 'Top_comment_unigram629', 'Top_comment_unigram630', 'Top_comment_unigram631', 'Top_comment_unigram632', 'Top_comment_unigram633', 'Top_comment_unigram634', 'Top_comment_unigram635', 'Top_comment_unigram636', 'Top_comment_unigram637', 'Top_comment_unigram638', 'Top_comment_unigram639', 'Top_comment_unigram640', 'Top_comment_unigram641', 'Top_comment_unigram642', 'Top_comment_unigram643', 'Top_comment_unigram644', 'Top_comment_unigram645', 'Top_comment_unigram646', 'Top_comment_unigram647', 'Top_comment_unigram648', 'Top_comment_unigram649', 'Top_comment_unigram650', 'Top_comment_unigram651', 'Top_comment_unigram652', 'Top_comment_unigram653', 'Top_comment_unigram654', 'Top_comment_unigram655', 'Top_comment_unigram656', 'Top_comment_unigram657', 'Top_comment_unigram658', 'Top_comment_unigram659', 'Top_comment_unigram660', 'Top_comment_unigram661', 'Top_comment_unigram662', 'Top_comment_unigram663', 'Top_comment_unigram664', 'Top_comment_unigram665', 'Top_comment_unigram666', 'Top_comment_unigram667', 'Top_comment_unigram668', 'Top_comment_unigram669', 'Top_comment_unigram670', 'Top_comment_unigram671', 'Top_comment_unigram672', 'Top_comment_unigram673', 'Top_comment_unigram674', 'Top_comment_unigram675', 'Top_comment_unigram676', 'Top_comment_unigram677', 'Top_comment_unigram678', 'Top_comment_unigram679', 'Top_comment_unigram680', 'Top_comment_unigram681', 'Top_comment_unigram682', 'Top_comment_unigram683', 'Top_comment_unigram684', 'Top_comment_unigram685', 'Top_comment_unigram686', 'Top_comment_unigram687', 'Top_comment_unigram688', 'Top_comment_unigram689', 'Top_comment_unigram690', 'Top_comment_unigram691', 'Top_comment_unigram692', 'Top_comment_unigram693', 'Top_comment_unigram694', 'Top_comment_unigram695', 'Top_comment_unigram696', 'Top_comment_unigram697', 'Top_comment_unigram698', 'Top_comment_unigram699', 'Top_comment_unigram700', 'Top_comment_unigram701', 'Top_comment_unigram702', 'Top_comment_unigram703', 'Top_comment_unigram704', 'Top_comment_unigram705', 'Top_comment_unigram706', 'Top_comment_unigram707', 'Top_comment_unigram708', 'Top_comment_unigram709', 'Top_comment_unigram710', 'Top_comment_unigram711', 'Top_comment_unigram712', 'Top_comment_unigram713', 'Top_comment_unigram714', 'Top_comment_unigram715', 'Top_comment_unigram716', 'Top_comment_unigram717', 'Top_comment_unigram718', 'Top_comment_unigram719', 'Top_comment_unigram720', 'Top_comment_unigram721', 'Top_comment_unigram722', 'Top_comment_unigram723', 'Top_comment_unigram724', 'Top_comment_unigram725', 'Top_comment_unigram726', 'Top_comment_unigram727', 'Top_comment_unigram728', 'Top_comment_unigram729', 'Top_comment_unigram730', 'Top_comment_unigram731', 'Top_comment_unigram732', 'Top_comment_unigram733', 'Top_comment_unigram734', 'Top_comment_unigram735', 'Top_comment_unigram736', 'Top_comment_unigram737', 'Top_comment_unigram738', 'Top_comment_unigram739', 'Top_comment_unigram740', 'Top_comment_unigram741', 'Top_comment_unigram742', 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'Top_comment_bigram412', 'Top_comment_bigram413', 'Top_comment_bigram414', 'Top_comment_bigram415', 'Top_comment_bigram416', 'Top_comment_bigram417', 'Top_comment_bigram418', 'Top_comment_bigram419', 'Top_comment_bigram420', 'Top_comment_bigram421', 'Top_comment_bigram422', 'Top_comment_bigram423', 'Top_comment_bigram424', 'Top_comment_bigram425', 'Top_comment_bigram426', 'Top_comment_bigram427', 'Top_comment_bigram428', 'Top_comment_bigram429', 'Top_comment_bigram430', 'Top_comment_bigram431', 'Top_comment_bigram432', 'Top_comment_bigram433', 'Top_comment_bigram434', 'Top_comment_bigram435', 'Top_comment_bigram436', 'Top_comment_bigram437', 'Top_comment_bigram438', 'Top_comment_bigram439', 'Top_comment_bigram440', 'Top_comment_bigram441', 'Top_comment_bigram442', 'Top_comment_bigram443', 'Top_comment_bigram444', 'Top_comment_bigram445', 'Top_comment_bigram446', 'Top_comment_bigram447', 'Top_comment_bigram448', 'Top_comment_bigram449', 'Top_comment_bigram450', 'Top_comment_bigram451', 'Top_comment_bigram452', 'Top_comment_bigram453', 'Top_comment_bigram454', 'Top_comment_bigram455', 'Top_comment_bigram456', 'Top_comment_bigram457', 'Top_comment_bigram458', 'Top_comment_bigram459', 'Top_comment_bigram460', 'Top_comment_bigram461', 'Top_comment_bigram462', 'Top_comment_bigram463', 'Top_comment_bigram464', 'Top_comment_bigram465', 'Top_comment_bigram466', 'Top_comment_bigram467', 'Top_comment_bigram468', 'Top_comment_bigram469', 'Top_comment_bigram470', 'Top_comment_bigram471', 'Top_comment_bigram472', 'Top_comment_bigram473', 'Top_comment_bigram474', 'Top_comment_bigram475', 'Top_comment_bigram476', 'Top_comment_bigram477', 'Top_comment_bigram478', 'Top_comment_bigram479', 'Top_comment_bigram480', 'Top_comment_bigram481', 'Top_comment_bigram482', 'Top_comment_bigram483', 'Top_comment_bigram484', 'Top_comment_bigram485', 'Top_comment_bigram486', 'Top_comment_bigram487', 'Top_comment_bigram488', 'Top_comment_bigram489', 'Top_comment_bigram490', 'Top_comment_bigram491', 'Top_comment_bigram492', 'Top_comment_bigram493', 'Top_comment_bigram494', 'Top_comment_bigram495', 'Top_comment_bigram496', 'Top_comment_bigram497', 'Top_comment_bigram498', 'Top_comment_bigram499', 'Top_comment_bigram500', 'Top_comment_bigram501', 'Top_comment_bigram502', 'Top_comment_bigram503', 'Top_comment_bigram504', 'Top_comment_bigram505', 'Top_comment_bigram506', 'Top_comment_bigram507', 'Top_comment_bigram508', 'Top_comment_bigram509', 'Top_comment_bigram510', 'Top_comment_bigram511', 'Top_comment_bigram512', 'Top_comment_bigram513', 'Top_comment_bigram514', 'Top_comment_bigram515', 'Top_comment_bigram516', 'Top_comment_bigram517', 'Top_comment_bigram518', 'Top_comment_bigram519', 'Top_comment_bigram520', 'Top_comment_bigram521', 'Top_comment_bigram522', 'Top_comment_bigram523', 'Top_comment_bigram524', 'Top_comment_bigram525', 'Top_comment_bigram526', 'Top_comment_bigram527', 'Top_comment_bigram528', 'Top_comment_bigram529', 'Top_comment_bigram530', 'Top_comment_bigram531', 'Top_comment_bigram532', 'Top_comment_bigram533', 'Top_comment_bigram534', 'Top_comment_bigram535', 'Top_comment_bigram536', 'Top_comment_bigram537', 'Top_comment_bigram538', 'Top_comment_bigram539', 'Top_comment_bigram540', 'Top_comment_bigram541', 'Top_comment_bigram542', 'Top_comment_bigram543', 'Top_comment_bigram544', 'Top_comment_bigram545', 'Top_comment_bigram546', 'Top_comment_bigram547', 'Top_comment_bigram548', 'Top_comment_bigram549', 'Top_comment_bigram550', 'Top_comment_bigram551', 'Top_comment_bigram552', 'Top_comment_bigram553', 'Top_comment_bigram554', 'Top_comment_bigram555', 'Top_comment_bigram556', 'Top_comment_bigram557', 'Top_comment_bigram558', 'Top_comment_bigram559', 'Top_comment_bigram560', 'Top_comment_bigram561', 'Top_comment_bigram562', 'Top_comment_bigram563', 'Top_comment_bigram564', 'Top_comment_bigram565', 'Top_comment_bigram566', 'Top_comment_bigram567', 'Top_comment_bigram568', 'Top_comment_bigram569', 'Top_comment_bigram570', 'Top_comment_bigram571', 'Top_comment_bigram572', 'Top_comment_bigram573', 'Top_comment_bigram574', 'Top_comment_bigram575', 'Top_comment_bigram576', 'Top_comment_bigram577', 'Top_comment_bigram578', 'Top_comment_bigram579', 'Top_comment_bigram580', 'Top_comment_bigram581', 'Top_comment_bigram582', 'Top_comment_bigram583', 'Top_comment_bigram584', 'Top_comment_bigram585', 'Top_comment_bigram586', 'Top_comment_bigram587', 'Top_comment_bigram588', 'Top_comment_bigram589', 'Top_comment_bigram590', 'Top_comment_bigram591', 'Top_comment_bigram592', 'Top_comment_bigram593', 'Top_comment_bigram594', 'Top_comment_bigram595', 'Top_comment_bigram596', 'Top_comment_bigram597', 'Top_comment_bigram598', 'Top_comment_bigram599', 'Top_comment_bigram600', 'Top_comment_bigram601', 'Top_comment_bigram602', 'Top_comment_bigram603', 'Top_comment_bigram604', 'Top_comment_bigram605', 'Top_comment_bigram606', 'Top_comment_bigram607', 'Top_comment_bigram608', 'Top_comment_bigram609', 'Top_comment_bigram610', 'Top_comment_bigram611', 'Top_comment_bigram612', 'Top_comment_bigram613', 'Top_comment_bigram614', 'Top_comment_bigram615', 'Top_comment_bigram616', 'Top_comment_bigram617', 'Top_comment_bigram618', 'Top_comment_bigram619', 'Top_comment_bigram620', 'Top_comment_bigram621', 'Top_comment_bigram622', 'Top_comment_bigram623', 'Top_comment_bigram624', 'Top_comment_bigram625', 'Top_comment_bigram626', 'Top_comment_bigram627', 'Top_comment_bigram628', 'Top_comment_bigram629', 'Top_comment_bigram630', 'Top_comment_bigram631', 'Top_comment_bigram632', 'Top_comment_bigram633', 'Top_comment_bigram634', 'Top_comment_bigram635', 'Top_comment_bigram636', 'Top_comment_bigram637', 'Top_comment_bigram638', 'Top_comment_bigram639', 'Top_comment_bigram640', 'Top_comment_bigram641', 'Top_comment_bigram642', 'Top_comment_bigram643', 'Top_comment_bigram644', 'Top_comment_bigram645', 'Top_comment_bigram646', 'Top_comment_bigram647', 'Top_comment_bigram648', 'Top_comment_bigram649', 'Top_comment_bigram650', 'Top_comment_bigram651', 'Top_comment_bigram652', 'Top_comment_bigram653', 'Top_comment_bigram654', 'Top_comment_bigram655', 'Top_comment_bigram656', 'Top_comment_bigram657', 'Top_comment_bigram658', 'Top_comment_bigram659', 'Top_comment_bigram660', 'Top_comment_bigram661', 'Top_comment_bigram662', 'Top_comment_bigram663', 'Top_comment_bigram664', 'Top_comment_bigram665', 'Top_comment_bigram666', 'Top_comment_bigram667', 'Top_comment_bigram668', 'Top_comment_bigram669', 'Top_comment_bigram670', 'Top_comment_bigram671', 'Top_comment_bigram672', 'Top_comment_bigram673', 'Top_comment_bigram674', 'Top_comment_bigram675', 'Top_comment_bigram676', 'Top_comment_bigram677', 'Top_comment_bigram678', 'Top_comment_bigram679', 'Top_comment_bigram680', 'Top_comment_bigram681', 'Top_comment_bigram682', 'Top_comment_bigram683', 'Top_comment_bigram684', 'Top_comment_bigram685', 'Top_comment_bigram686', 'Top_comment_bigram687', 'Top_comment_bigram688', 'Top_comment_bigram689', 'Top_comment_bigram690', 'Top_comment_bigram691', 'Top_comment_bigram692', 'Top_comment_bigram693', 'Top_comment_bigram694', 'Top_comment_bigram695', 'Top_comment_bigram696', 'Top_comment_bigram697', 'Top_comment_bigram698', 'Top_comment_bigram699', 'Top_comment_bigram700', 'Top_comment_bigram701', 'Top_comment_bigram702', 'Top_comment_bigram703', 'Top_comment_bigram704', 'Top_comment_bigram705', 'Top_comment_bigram706', 'Top_comment_bigram707', 'Top_comment_bigram708', 'Top_comment_bigram709', 'Top_comment_bigram710', 'Top_comment_bigram711', 'Top_comment_bigram712', 'Top_comment_bigram713', 'Top_comment_bigram714', 'Top_comment_bigram715', 'Top_comment_bigram716', 'Top_comment_bigram717', 'Top_comment_bigram718', 'Top_comment_bigram719', 'Top_comment_bigram720', 'Top_comment_bigram721', 'Top_comment_bigram722', 'Top_comment_bigram723', 'Top_comment_bigram724', 'Top_comment_bigram725', 'Top_comment_bigram726', 'Top_comment_bigram727', 'Top_comment_bigram728', 'Top_comment_bigram729', 'Top_comment_bigram730', 'Top_comment_bigram731', 'Top_comment_bigram732', 'Top_comment_bigram733', 'Top_comment_bigram734', 'Top_comment_bigram735', 'Top_comment_bigram736', 'Top_comment_bigram737', 'Top_comment_bigram738', 'Top_comment_bigram739', 'Top_comment_bigram740', 'Top_comment_bigram741', 'Top_comment_bigram742', 'Top_comment_bigram743', 'Top_comment_bigram744', 'Top_comment_bigram745', 'Top_comment_bigram746', 'Top_comment_bigram747', 'Top_comment_bigram748', 'Top_comment_bigram749', 'Top_comment_bigram750', 'Top_comment_bigram751', 'Top_comment_bigram752', 'Top_comment_bigram753', 'Top_comment_bigram754', 'Top_comment_bigram755', 'Top_comment_bigram756', 'Top_comment_bigram757', 'Top_comment_bigram758', 'Top_comment_bigram759', 'Top_comment_bigram760', 'Top_comment_bigram761', 'Top_comment_bigram762', 'Top_comment_bigram763', 'Top_comment_bigram764', 'Top_comment_bigram765', 'Top_comment_bigram766', 'Top_comment_bigram767', 'Top_comment_bigram768', 'Top_comment_bigram769', 'Top_comment_bigram770', 'Top_comment_bigram771', 'Top_comment_bigram772', 'Top_comment_bigram773', 'Top_comment_bigram774', 'Top_comment_bigram775', 'Top_comment_bigram776', 'Top_comment_bigram777', 'Top_comment_bigram778', 'Top_comment_bigram779', 'Top_comment_bigram780', 'Top_comment_bigram781', 'Top_comment_bigram782', 'Top_comment_bigram783', 'Top_comment_bigram784', 'Top_comment_bigram785', 'Top_comment_bigram786', 'Top_comment_bigram787', 'Top_comment_bigram788', 'Top_comment_bigram789', 'Top_comment_bigram790', 'Top_comment_bigram791', 'Top_comment_bigram792', 'Top_comment_bigram793', 'Top_comment_bigram794', 'Top_comment_bigram795', 'Top_comment_bigram796', 'Top_comment_bigram797', 'Top_comment_bigram798', 'Top_comment_bigram799', 'Top_comment_bigram800', 'Top_comment_bigram801', 'Top_comment_bigram802', 'Top_comment_bigram803', 'Top_comment_bigram804', 'Top_comment_bigram805', 'Top_comment_bigram806', 'Top_comment_bigram807', 'Top_comment_bigram808', 'Top_comment_bigram809', 'Top_comment_bigram810', 'Top_comment_bigram811', 'Top_comment_bigram812', 'Top_comment_bigram813', 'Top_comment_bigram814', 'Top_comment_bigram815', 'Top_comment_bigram816', 'Top_comment_bigram817', 'Top_comment_bigram818', 'Top_comment_bigram819', 'Top_comment_bigram820', 'Top_comment_bigram821', 'Top_comment_bigram822', 'Top_comment_bigram823', 'Top_comment_bigram824', 'Top_comment_bigram825', 'Top_comment_bigram826', 'Top_comment_bigram827', 'Top_comment_bigram828', 'Top_comment_bigram829', 'Top_comment_bigram830', 'Top_comment_bigram831', 'Top_comment_bigram832', 'Top_comment_bigram833', 'Top_comment_bigram834', 'Top_comment_bigram835', 'Top_comment_bigram836', 'Top_comment_bigram837', 'Top_comment_bigram838', 'Top_comment_bigram839', 'Top_comment_bigram840', 'Top_comment_bigram841', 'Top_comment_bigram842', 'Top_comment_bigram843', 'Top_comment_bigram844', 'Top_comment_bigram845', 'Top_comment_bigram846', 'Top_comment_bigram847', 'Top_comment_bigram848', 'Top_comment_bigram849', 'Top_comment_bigram850', 'Top_comment_bigram851', 'Top_comment_bigram852', 'Top_comment_bigram853', 'Top_comment_bigram854', 'Top_comment_bigram855', 'Top_comment_bigram856', 'Top_comment_bigram857', 'Top_comment_bigram858', 'Top_comment_bigram859', 'Top_comment_bigram860', 'Top_comment_bigram861', 'Top_comment_bigram862', 'Top_comment_bigram863', 'Top_comment_bigram864', 'Top_comment_bigram865', 'Top_comment_bigram866', 'Top_comment_bigram867', 'Top_comment_bigram868', 'Top_comment_bigram869', 'Top_comment_bigram870', 'Top_comment_bigram871', 'Top_comment_bigram872', 'Top_comment_bigram873', 'Top_comment_bigram874', 'Top_comment_bigram875', 'Top_comment_bigram876', 'Top_comment_bigram877', 'Top_comment_bigram878', 'Top_comment_bigram879', 'Top_comment_bigram880', 'Top_comment_bigram881', 'Top_comment_bigram882', 'Top_comment_bigram883', 'Top_comment_bigram884', 'Top_comment_bigram885', 'Top_comment_bigram886', 'Top_comment_bigram887', 'Top_comment_bigram888', 'Top_comment_bigram889', 'Top_comment_bigram890', 'Top_comment_bigram891', 'Top_comment_bigram892', 'Top_comment_bigram893', 'Top_comment_bigram894', 'Top_comment_bigram895', 'Top_comment_bigram896', 'Top_comment_bigram897', 'Top_comment_bigram898', 'Top_comment_bigram899', 'Top_comment_bigram900', 'Top_comment_bigram901', 'Top_comment_bigram902', 'Top_comment_bigram903', 'Top_comment_bigram904', 'Top_comment_bigram905', 'Top_comment_bigram906', 'Top_comment_bigram907', 'Top_comment_bigram908', 'Top_comment_bigram909', 'Top_comment_bigram910', 'Top_comment_bigram911', 'Top_comment_bigram912', 'Top_comment_bigram913', 'Top_comment_bigram914', 'Top_comment_bigram915', 'Top_comment_bigram916', 'Top_comment_bigram917', 'Top_comment_bigram918', 'Top_comment_bigram919', 'Top_comment_bigram920', 'Top_comment_bigram921', 'Top_comment_bigram922', 'Top_comment_bigram923', 'Top_comment_bigram924', 'Top_comment_bigram925', 'Top_comment_bigram926', 'Top_comment_bigram927', 'Top_comment_bigram928', 'Top_comment_bigram929', 'Top_comment_bigram930', 'Top_comment_bigram931', 'Top_comment_bigram932', 'Top_comment_bigram933', 'Top_comment_bigram934', 'Top_comment_bigram935', 'Top_comment_bigram936', 'Top_comment_bigram937', 'Top_comment_bigram938', 'Top_comment_bigram939', 'Top_comment_bigram940', 'Top_comment_bigram941', 'Top_comment_bigram942', 'Top_comment_bigram943', 'Top_comment_bigram944', 'Top_comment_bigram945', 'Top_comment_bigram946', 'Top_comment_bigram947', 'Top_comment_bigram948', 'Top_comment_bigram949', 'Top_comment_bigram950', 'Top_comment_bigram951', 'Top_comment_bigram952', 'Top_comment_bigram953', 'Top_comment_bigram954', 'Top_comment_bigram955', 'Top_comment_bigram956', 'Top_comment_bigram957', 'Top_comment_bigram958', 'Top_comment_bigram959', 'Top_comment_bigram960', 'Top_comment_bigram961', 'Top_comment_bigram962', 'Top_comment_bigram963', 'Top_comment_bigram964', 'Top_comment_bigram965', 'Top_comment_bigram966', 'Top_comment_bigram967', 'Top_comment_bigram968', 'Top_comment_bigram969', 'Top_comment_bigram970', 'Top_comment_bigram971', 'Top_comment_bigram972', 'Top_comment_bigram973', 'Top_comment_bigram974', 'Top_comment_bigram975', 'Top_comment_bigram976', 'Top_comment_bigram977', 'Top_comment_bigram978', 'Top_comment_bigram979', 'Top_comment_bigram980', 'Top_comment_bigram981', 'Top_comment_bigram982', 'Top_comment_bigram983', 'Top_comment_bigram984', 'Top_comment_bigram985', 'Top_comment_bigram986', 'Top_comment_bigram987', 'Top_comment_bigram988', 'Top_comment_bigram989', 'Top_comment_bigram990', 'Top_comment_bigram991', 'Top_comment_bigram992', 'Top_comment_bigram993', 'Top_comment_bigram994', 'Top_comment_bigram995', 'Top_comment_bigram996', 'Top_comment_bigram997', 'Top_comment_bigram998', 'Top_comment_bigram999']
# 2065 features in XGBOOST
OUTCOMES = [
'Replies_informative_count', 'Replies_links_count', 'Replies_max_depth', 'Replies_sum_score',
'Replies_total_number', 'Top_comment_article_accommodation', 'Top_comment_certain_accommodation',
'Top_comment_conj_accommodation', 'Top_comment_discrep_accommodation', 'Top_comment_excl_accommodation',
'Top_comment_incl_accommodation', 'Top_comment_ipron_accommodation', 'Top_comment_negate_accommodation',
'Top_comment_quant_accommodation', 'Top_comment_tentat_accommodation', 'Replies_advice_count',
'Replies_laughter_count', 'Replies_gratitude_count', 'Replies_informative_URL_count',
'Replies_i_language_count', 'Replies_compliments_count', 'Replies_untuned_toxicity_children_count',
'Top_comment_direct_children', 'Replies_distinct_pairs_of_sustained_conversation',
'Replies_max_turns_of_sustained_conversations', 'Replies_untuned_non_toxic_percentage'
] # 26 metrics
ALBERT_EIGENMETRICS = [
'PC0'
]
EIGENMETRICS = [
'PC0'
]
ALBERT_SUBREDDIT_HEADER = 'Top_comment_subreddit'
ALBERT_TOP_COMMENT_TEXT_HEADER = 'Top_comment_text'
ALBERT_POST_TEXT_HEADER = 'Post_text'
Roberta_TOP_COMMENT_TEXT_HEADER = 'Top_comment_text'
Roberta_EIGENMETRICS = 'PC0'
PRIMARY_KEY = 'Top_comment_id'
GENERIC_TOKEN = '<GENERIC>'
GENERIC_ID = 0
NUM_SUBREDDIT_EMBEDDINGS = 11993
SUBREDDIT_EMBEDDINGS_SIZE = 16
ANNOTATION_ALBERT_TLC_TEXT_HEADER = ALBERT_TOP_COMMENT_TEXT_HEADER
ANNOTATION_ALBERT_POST_TEXT_HEADER = ALBERT_POST_TEXT_HEADER
ANNOTATION_ALBERT_SUBREDDIT_HEADER = ALBERT_SUBREDDIT_HEADER
ANNOTATION_ALBERT_META_FEATURES = ALBERT_META_FEATURES
ANNOTATION_ALBERT_LABEL_HEADER = 'human_label'
BASELINE_ANNOTATION_MODEL_TLC_TEXT_HEADER = 'Top_comment_text'
BASELINE_ANNOTATION_MODEL_LABEL_HEADER = 'human_label'
ANNOTATION_XGBOOST_META_FEATURES = XGBOOST_FEATURES
ANNOTATION_XGBOOST_LABELS_HEADER = 'human_label'
| features = ['Post_Top_comment_Jaccard_sim', 'Post_Top_comment_topic_cosine_similarity', 'Post_text', 'Post_topic0', 'Post_topic1', 'Post_topic10', 'Post_topic11', 'Post_topic12', 'Post_topic13', 'Post_topic14', 'Post_topic15', 'Post_topic16', 'Post_topic17', 'Post_topic18', 'Post_topic2', 'Post_topic3', 'Post_topic4', 'Post_topic5', 'Post_topic6', 'Post_topic7', 'Post_topic8', 'Post_topic9', 'Top_comment_advice_count', 'Top_comment_agreement_value', 'Top_comment_and_Post_time_difference', 'Top_comment_author', 'Top_comment_author_gender_value', 'Top_comment_compliments_count', 'Top_comment_day', 'Top_comment_day_of_week', 'Top_comment_fundraising_URL_count', 'Top_comment_gratitude_count', 'Top_comment_hour', 'Top_comment_i_language_count', 'Top_comment_informative_URL_count', 'Top_comment_informative_count', 'Top_comment_laughter_count', 'Top_comment_link_count', 'Top_comment_mispellings', 'Top_comment_polarity', 'Top_comment_politeness_value', 'Top_comment_readability', 'Top_comment_score', 'Top_comment_subjectivity', 'Top_comment_subreddit', 'Top_comment_support_value', 'Top_comment_text', 'Top_comment_topic0', 'Top_comment_topic1', 'Top_comment_topic10', 'Top_comment_topic11', 'Top_comment_topic12', 'Top_comment_topic13', 'Top_comment_topic14', 'Top_comment_topic15', 'Top_comment_topic16', 'Top_comment_topic17', 'Top_comment_topic18', 'Top_comment_topic2', 'Top_comment_topic3', 'Top_comment_topic4', 'Top_comment_topic5', 'Top_comment_topic6', 'Top_comment_topic7', 'Top_comment_topic8', 'Top_comment_topic9', 'Top_comment_tuned_toxicity', 'Top_comment_untuned_toxicity', 'Top_comment_word_count']
albert_meta_features = ['Post_Top_comment_Jaccard_sim', 'Post_Top_comment_topic_cosine_similarity', 'Post_topic0', 'Post_topic1', 'Post_topic10', 'Post_topic11', 'Post_topic12', 'Post_topic13', 'Post_topic14', 'Post_topic15', 'Post_topic16', 'Post_topic17', 'Post_topic18', 'Post_topic2', 'Post_topic3', 'Post_topic4', 'Post_topic5', 'Post_topic6', 'Post_topic7', 'Post_topic8', 'Post_topic9', 'Top_comment_advice_count', 'Top_comment_agreement_value', 'Top_comment_and_Post_time_difference', 'Top_comment_author_gender_value', 'Top_comment_compliments_count', 'Top_comment_day', 'Top_comment_day_of_week', 'Top_comment_fundraising_URL_count', 'Top_comment_gratitude_count', 'Top_comment_hour', 'Top_comment_i_language_count', 'Top_comment_informative_URL_count', 'Top_comment_informative_count', 'Top_comment_laughter_count', 'Top_comment_link_count', 'Top_comment_mispellings', 'Top_comment_polarity', 'Top_comment_politeness_value', 'Top_comment_readability', 'Top_comment_score', 'Top_comment_subjectivity', 'Top_comment_support_value', 'Top_comment_topic0', 'Top_comment_topic1', 'Top_comment_topic10', 'Top_comment_topic11', 'Top_comment_topic12', 'Top_comment_topic13', 'Top_comment_topic14', 'Top_comment_topic15', 'Top_comment_topic16', 'Top_comment_topic17', 'Top_comment_topic18', 'Top_comment_topic2', 'Top_comment_topic3', 'Top_comment_topic4', 'Top_comment_topic5', 'Top_comment_topic6', 'Top_comment_topic7', 'Top_comment_topic8', 'Top_comment_topic9', 'Top_comment_tuned_toxicity', 'Top_comment_untuned_toxicity', 'Top_comment_word_count']
xgboost_features = ['Top_comment_and_Post_time_difference', 'Top_comment_day', 'Top_comment_day_of_week', 'Top_comment_hour', 'Top_comment_link_count', 'Top_comment_score', 'Top_comment_mispellings', 'Top_comment_author_gender_value', 'Top_comment_agreement_value', 'Top_comment_support_value', 'Top_comment_politeness_value', 'Top_comment_informative_count', 'Top_comment_advice_count', 'Top_comment_laughter_count', 'Top_comment_gratitude_count', 'Top_comment_fundraising_URL_count', 'Top_comment_informative_URL_count', 'Top_comment_i_language_count', 'Top_comment_compliments_count', 'Top_comment_tuned_toxicity', 'Top_comment_untuned_toxicity', 'Top_comment_topic0', 'Top_comment_topic1', 'Top_comment_topic2', 'Top_comment_topic3', 'Top_comment_topic4', 'Top_comment_topic5', 'Top_comment_topic6', 'Top_comment_topic7', 'Top_comment_topic8', 'Top_comment_topic9', 'Top_comment_topic10', 'Top_comment_topic11', 'Top_comment_topic12', 'Top_comment_topic13', 'Top_comment_topic14', 'Top_comment_topic15', 'Top_comment_topic16', 'Top_comment_topic17', 'Top_comment_topic18', 'Post_topic0', 'Post_topic1', 'Post_topic2', 'Post_topic3', 'Post_topic4', 'Post_topic5', 'Post_topic6', 'Post_topic7', 'Post_topic8', 'Post_topic9', 'Post_topic10', 'Post_topic11', 'Post_topic12', 'Post_topic13', 'Post_topic14', 'Post_topic15', 'Post_topic16', 'Post_topic17', 'Post_topic18', 'Post_Top_comment_topic_cosine_similarity', 'Post_Top_comment_Jaccard_sim', 'Top_comment_polarity', 'Top_comment_subjectivity', 'Top_comment_word_count', 'Top_comment_readability', 'Top_comment_unigram0', 'Top_comment_unigram1', 'Top_comment_unigram2', 'Top_comment_unigram3', 'Top_comment_unigram4', 'Top_comment_unigram5', 'Top_comment_unigram6', 'Top_comment_unigram7', 'Top_comment_unigram8', 'Top_comment_unigram9', 'Top_comment_unigram10', 'Top_comment_unigram11', 'Top_comment_unigram12', 'Top_comment_unigram13', 'Top_comment_unigram14', 'Top_comment_unigram15', 'Top_comment_unigram16', 'Top_comment_unigram17', 'Top_comment_unigram18', 'Top_comment_unigram19', 'Top_comment_unigram20', 'Top_comment_unigram21', 'Top_comment_unigram22', 'Top_comment_unigram23', 'Top_comment_unigram24', 'Top_comment_unigram25', 'Top_comment_unigram26', 'Top_comment_unigram27', 'Top_comment_unigram28', 'Top_comment_unigram29', 'Top_comment_unigram30', 'Top_comment_unigram31', 'Top_comment_unigram32', 'Top_comment_unigram33', 'Top_comment_unigram34', 'Top_comment_unigram35', 'Top_comment_unigram36', 'Top_comment_unigram37', 'Top_comment_unigram38', 'Top_comment_unigram39', 'Top_comment_unigram40', 'Top_comment_unigram41', 'Top_comment_unigram42', 'Top_comment_unigram43', 'Top_comment_unigram44', 'Top_comment_unigram45', 'Top_comment_unigram46', 'Top_comment_unigram47', 'Top_comment_unigram48', 'Top_comment_unigram49', 'Top_comment_unigram50', 'Top_comment_unigram51', 'Top_comment_unigram52', 'Top_comment_unigram53', 'Top_comment_unigram54', 'Top_comment_unigram55', 'Top_comment_unigram56', 'Top_comment_unigram57', 'Top_comment_unigram58', 'Top_comment_unigram59', 'Top_comment_unigram60', 'Top_comment_unigram61', 'Top_comment_unigram62', 'Top_comment_unigram63', 'Top_comment_unigram64', 'Top_comment_unigram65', 'Top_comment_unigram66', 'Top_comment_unigram67', 'Top_comment_unigram68', 'Top_comment_unigram69', 'Top_comment_unigram70', 'Top_comment_unigram71', 'Top_comment_unigram72', 'Top_comment_unigram73', 'Top_comment_unigram74', 'Top_comment_unigram75', 'Top_comment_unigram76', 'Top_comment_unigram77', 'Top_comment_unigram78', 'Top_comment_unigram79', 'Top_comment_unigram80', 'Top_comment_unigram81', 'Top_comment_unigram82', 'Top_comment_unigram83', 'Top_comment_unigram84', 'Top_comment_unigram85', 'Top_comment_unigram86', 'Top_comment_unigram87', 'Top_comment_unigram88', 'Top_comment_unigram89', 'Top_comment_unigram90', 'Top_comment_unigram91', 'Top_comment_unigram92', 'Top_comment_unigram93', 'Top_comment_unigram94', 'Top_comment_unigram95', 'Top_comment_unigram96', 'Top_comment_unigram97', 'Top_comment_unigram98', 'Top_comment_unigram99', 'Top_comment_unigram100', 'Top_comment_unigram101', 'Top_comment_unigram102', 'Top_comment_unigram103', 'Top_comment_unigram104', 'Top_comment_unigram105', 'Top_comment_unigram106', 'Top_comment_unigram107', 'Top_comment_unigram108', 'Top_comment_unigram109', 'Top_comment_unigram110', 'Top_comment_unigram111', 'Top_comment_unigram112', 'Top_comment_unigram113', 'Top_comment_unigram114', 'Top_comment_unigram115', 'Top_comment_unigram116', 'Top_comment_unigram117', 'Top_comment_unigram118', 'Top_comment_unigram119', 'Top_comment_unigram120', 'Top_comment_unigram121', 'Top_comment_unigram122', 'Top_comment_unigram123', 'Top_comment_unigram124', 'Top_comment_unigram125', 'Top_comment_unigram126', 'Top_comment_unigram127', 'Top_comment_unigram128', 'Top_comment_unigram129', 'Top_comment_unigram130', 'Top_comment_unigram131', 'Top_comment_unigram132', 'Top_comment_unigram133', 'Top_comment_unigram134', 'Top_comment_unigram135', 'Top_comment_unigram136', 'Top_comment_unigram137', 'Top_comment_unigram138', 'Top_comment_unigram139', 'Top_comment_unigram140', 'Top_comment_unigram141', 'Top_comment_unigram142', 'Top_comment_unigram143', 'Top_comment_unigram144', 'Top_comment_unigram145', 'Top_comment_unigram146', 'Top_comment_unigram147', 'Top_comment_unigram148', 'Top_comment_unigram149', 'Top_comment_unigram150', 'Top_comment_unigram151', 'Top_comment_unigram152', 'Top_comment_unigram153', 'Top_comment_unigram154', 'Top_comment_unigram155', 'Top_comment_unigram156', 'Top_comment_unigram157', 'Top_comment_unigram158', 'Top_comment_unigram159', 'Top_comment_unigram160', 'Top_comment_unigram161', 'Top_comment_unigram162', 'Top_comment_unigram163', 'Top_comment_unigram164', 'Top_comment_unigram165', 'Top_comment_unigram166', 'Top_comment_unigram167', 'Top_comment_unigram168', 'Top_comment_unigram169', 'Top_comment_unigram170', 'Top_comment_unigram171', 'Top_comment_unigram172', 'Top_comment_unigram173', 'Top_comment_unigram174', 'Top_comment_unigram175', 'Top_comment_unigram176', 'Top_comment_unigram177', 'Top_comment_unigram178', 'Top_comment_unigram179', 'Top_comment_unigram180', 'Top_comment_unigram181', 'Top_comment_unigram182', 'Top_comment_unigram183', 'Top_comment_unigram184', 'Top_comment_unigram185', 'Top_comment_unigram186', 'Top_comment_unigram187', 'Top_comment_unigram188', 'Top_comment_unigram189', 'Top_comment_unigram190', 'Top_comment_unigram191', 'Top_comment_unigram192', 'Top_comment_unigram193', 'Top_comment_unigram194', 'Top_comment_unigram195', 'Top_comment_unigram196', 'Top_comment_unigram197', 'Top_comment_unigram198', 'Top_comment_unigram199', 'Top_comment_unigram200', 'Top_comment_unigram201', 'Top_comment_unigram202', 'Top_comment_unigram203', 'Top_comment_unigram204', 'Top_comment_unigram205', 'Top_comment_unigram206', 'Top_comment_unigram207', 'Top_comment_unigram208', 'Top_comment_unigram209', 'Top_comment_unigram210', 'Top_comment_unigram211', 'Top_comment_unigram212', 'Top_comment_unigram213', 'Top_comment_unigram214', 'Top_comment_unigram215', 'Top_comment_unigram216', 'Top_comment_unigram217', 'Top_comment_unigram218', 'Top_comment_unigram219', 'Top_comment_unigram220', 'Top_comment_unigram221', 'Top_comment_unigram222', 'Top_comment_unigram223', 'Top_comment_unigram224', 'Top_comment_unigram225', 'Top_comment_unigram226', 'Top_comment_unigram227', 'Top_comment_unigram228', 'Top_comment_unigram229', 'Top_comment_unigram230', 'Top_comment_unigram231', 'Top_comment_unigram232', 'Top_comment_unigram233', 'Top_comment_unigram234', 'Top_comment_unigram235', 'Top_comment_unigram236', 'Top_comment_unigram237', 'Top_comment_unigram238', 'Top_comment_unigram239', 'Top_comment_unigram240', 'Top_comment_unigram241', 'Top_comment_unigram242', 'Top_comment_unigram243', 'Top_comment_unigram244', 'Top_comment_unigram245', 'Top_comment_unigram246', 'Top_comment_unigram247', 'Top_comment_unigram248', 'Top_comment_unigram249', 'Top_comment_unigram250', 'Top_comment_unigram251', 'Top_comment_unigram252', 'Top_comment_unigram253', 'Top_comment_unigram254', 'Top_comment_unigram255', 'Top_comment_unigram256', 'Top_comment_unigram257', 'Top_comment_unigram258', 'Top_comment_unigram259', 'Top_comment_unigram260', 'Top_comment_unigram261', 'Top_comment_unigram262', 'Top_comment_unigram263', 'Top_comment_unigram264', 'Top_comment_unigram265', 'Top_comment_unigram266', 'Top_comment_unigram267', 'Top_comment_unigram268', 'Top_comment_unigram269', 'Top_comment_unigram270', 'Top_comment_unigram271', 'Top_comment_unigram272', 'Top_comment_unigram273', 'Top_comment_unigram274', 'Top_comment_unigram275', 'Top_comment_unigram276', 'Top_comment_unigram277', 'Top_comment_unigram278', 'Top_comment_unigram279', 'Top_comment_unigram280', 'Top_comment_unigram281', 'Top_comment_unigram282', 'Top_comment_unigram283', 'Top_comment_unigram284', 'Top_comment_unigram285', 'Top_comment_unigram286', 'Top_comment_unigram287', 'Top_comment_unigram288', 'Top_comment_unigram289', 'Top_comment_unigram290', 'Top_comment_unigram291', 'Top_comment_unigram292', 'Top_comment_unigram293', 'Top_comment_unigram294', 'Top_comment_unigram295', 'Top_comment_unigram296', 'Top_comment_unigram297', 'Top_comment_unigram298', 'Top_comment_unigram299', 'Top_comment_unigram300', 'Top_comment_unigram301', 'Top_comment_unigram302', 'Top_comment_unigram303', 'Top_comment_unigram304', 'Top_comment_unigram305', 'Top_comment_unigram306', 'Top_comment_unigram307', 'Top_comment_unigram308', 'Top_comment_unigram309', 'Top_comment_unigram310', 'Top_comment_unigram311', 'Top_comment_unigram312', 'Top_comment_unigram313', 'Top_comment_unigram314', 'Top_comment_unigram315', 'Top_comment_unigram316', 'Top_comment_unigram317', 'Top_comment_unigram318', 'Top_comment_unigram319', 'Top_comment_unigram320', 'Top_comment_unigram321', 'Top_comment_unigram322', 'Top_comment_unigram323', 'Top_comment_unigram324', 'Top_comment_unigram325', 'Top_comment_unigram326', 'Top_comment_unigram327', 'Top_comment_unigram328', 'Top_comment_unigram329', 'Top_comment_unigram330', 'Top_comment_unigram331', 'Top_comment_unigram332', 'Top_comment_unigram333', 'Top_comment_unigram334', 'Top_comment_unigram335', 'Top_comment_unigram336', 'Top_comment_unigram337', 'Top_comment_unigram338', 'Top_comment_unigram339', 'Top_comment_unigram340', 'Top_comment_unigram341', 'Top_comment_unigram342', 'Top_comment_unigram343', 'Top_comment_unigram344', 'Top_comment_unigram345', 'Top_comment_unigram346', 'Top_comment_unigram347', 'Top_comment_unigram348', 'Top_comment_unigram349', 'Top_comment_unigram350', 'Top_comment_unigram351', 'Top_comment_unigram352', 'Top_comment_unigram353', 'Top_comment_unigram354', 'Top_comment_unigram355', 'Top_comment_unigram356', 'Top_comment_unigram357', 'Top_comment_unigram358', 'Top_comment_unigram359', 'Top_comment_unigram360', 'Top_comment_unigram361', 'Top_comment_unigram362', 'Top_comment_unigram363', 'Top_comment_unigram364', 'Top_comment_unigram365', 'Top_comment_unigram366', 'Top_comment_unigram367', 'Top_comment_unigram368', 'Top_comment_unigram369', 'Top_comment_unigram370', 'Top_comment_unigram371', 'Top_comment_unigram372', 'Top_comment_unigram373', 'Top_comment_unigram374', 'Top_comment_unigram375', 'Top_comment_unigram376', 'Top_comment_unigram377', 'Top_comment_unigram378', 'Top_comment_unigram379', 'Top_comment_unigram380', 'Top_comment_unigram381', 'Top_comment_unigram382', 'Top_comment_unigram383', 'Top_comment_unigram384', 'Top_comment_unigram385', 'Top_comment_unigram386', 'Top_comment_unigram387', 'Top_comment_unigram388', 'Top_comment_unigram389', 'Top_comment_unigram390', 'Top_comment_unigram391', 'Top_comment_unigram392', 'Top_comment_unigram393', 'Top_comment_unigram394', 'Top_comment_unigram395', 'Top_comment_unigram396', 'Top_comment_unigram397', 'Top_comment_unigram398', 'Top_comment_unigram399', 'Top_comment_unigram400', 'Top_comment_unigram401', 'Top_comment_unigram402', 'Top_comment_unigram403', 'Top_comment_unigram404', 'Top_comment_unigram405', 'Top_comment_unigram406', 'Top_comment_unigram407', 'Top_comment_unigram408', 'Top_comment_unigram409', 'Top_comment_unigram410', 'Top_comment_unigram411', 'Top_comment_unigram412', 'Top_comment_unigram413', 'Top_comment_unigram414', 'Top_comment_unigram415', 'Top_comment_unigram416', 'Top_comment_unigram417', 'Top_comment_unigram418', 'Top_comment_unigram419', 'Top_comment_unigram420', 'Top_comment_unigram421', 'Top_comment_unigram422', 'Top_comment_unigram423', 'Top_comment_unigram424', 'Top_comment_unigram425', 'Top_comment_unigram426', 'Top_comment_unigram427', 'Top_comment_unigram428', 'Top_comment_unigram429', 'Top_comment_unigram430', 'Top_comment_unigram431', 'Top_comment_unigram432', 'Top_comment_unigram433', 'Top_comment_unigram434', 'Top_comment_unigram435', 'Top_comment_unigram436', 'Top_comment_unigram437', 'Top_comment_unigram438', 'Top_comment_unigram439', 'Top_comment_unigram440', 'Top_comment_unigram441', 'Top_comment_unigram442', 'Top_comment_unigram443', 'Top_comment_unigram444', 'Top_comment_unigram445', 'Top_comment_unigram446', 'Top_comment_unigram447', 'Top_comment_unigram448', 'Top_comment_unigram449', 'Top_comment_unigram450', 'Top_comment_unigram451', 'Top_comment_unigram452', 'Top_comment_unigram453', 'Top_comment_unigram454', 'Top_comment_unigram455', 'Top_comment_unigram456', 'Top_comment_unigram457', 'Top_comment_unigram458', 'Top_comment_unigram459', 'Top_comment_unigram460', 'Top_comment_unigram461', 'Top_comment_unigram462', 'Top_comment_unigram463', 'Top_comment_unigram464', 'Top_comment_unigram465', 'Top_comment_unigram466', 'Top_comment_unigram467', 'Top_comment_unigram468', 'Top_comment_unigram469', 'Top_comment_unigram470', 'Top_comment_unigram471', 'Top_comment_unigram472', 'Top_comment_unigram473', 'Top_comment_unigram474', 'Top_comment_unigram475', 'Top_comment_unigram476', 'Top_comment_unigram477', 'Top_comment_unigram478', 'Top_comment_unigram479', 'Top_comment_unigram480', 'Top_comment_unigram481', 'Top_comment_unigram482', 'Top_comment_unigram483', 'Top_comment_unigram484', 'Top_comment_unigram485', 'Top_comment_unigram486', 'Top_comment_unigram487', 'Top_comment_unigram488', 'Top_comment_unigram489', 'Top_comment_unigram490', 'Top_comment_unigram491', 'Top_comment_unigram492', 'Top_comment_unigram493', 'Top_comment_unigram494', 'Top_comment_unigram495', 'Top_comment_unigram496', 'Top_comment_unigram497', 'Top_comment_unigram498', 'Top_comment_unigram499', 'Top_comment_unigram500', 'Top_comment_unigram501', 'Top_comment_unigram502', 'Top_comment_unigram503', 'Top_comment_unigram504', 'Top_comment_unigram505', 'Top_comment_unigram506', 'Top_comment_unigram507', 'Top_comment_unigram508', 'Top_comment_unigram509', 'Top_comment_unigram510', 'Top_comment_unigram511', 'Top_comment_unigram512', 'Top_comment_unigram513', 'Top_comment_unigram514', 'Top_comment_unigram515', 'Top_comment_unigram516', 'Top_comment_unigram517', 'Top_comment_unigram518', 'Top_comment_unigram519', 'Top_comment_unigram520', 'Top_comment_unigram521', 'Top_comment_unigram522', 'Top_comment_unigram523', 'Top_comment_unigram524', 'Top_comment_unigram525', 'Top_comment_unigram526', 'Top_comment_unigram527', 'Top_comment_unigram528', 'Top_comment_unigram529', 'Top_comment_unigram530', 'Top_comment_unigram531', 'Top_comment_unigram532', 'Top_comment_unigram533', 'Top_comment_unigram534', 'Top_comment_unigram535', 'Top_comment_unigram536', 'Top_comment_unigram537', 'Top_comment_unigram538', 'Top_comment_unigram539', 'Top_comment_unigram540', 'Top_comment_unigram541', 'Top_comment_unigram542', 'Top_comment_unigram543', 'Top_comment_unigram544', 'Top_comment_unigram545', 'Top_comment_unigram546', 'Top_comment_unigram547', 'Top_comment_unigram548', 'Top_comment_unigram549', 'Top_comment_unigram550', 'Top_comment_unigram551', 'Top_comment_unigram552', 'Top_comment_unigram553', 'Top_comment_unigram554', 'Top_comment_unigram555', 'Top_comment_unigram556', 'Top_comment_unigram557', 'Top_comment_unigram558', 'Top_comment_unigram559', 'Top_comment_unigram560', 'Top_comment_unigram561', 'Top_comment_unigram562', 'Top_comment_unigram563', 'Top_comment_unigram564', 'Top_comment_unigram565', 'Top_comment_unigram566', 'Top_comment_unigram567', 'Top_comment_unigram568', 'Top_comment_unigram569', 'Top_comment_unigram570', 'Top_comment_unigram571', 'Top_comment_unigram572', 'Top_comment_unigram573', 'Top_comment_unigram574', 'Top_comment_unigram575', 'Top_comment_unigram576', 'Top_comment_unigram577', 'Top_comment_unigram578', 'Top_comment_unigram579', 'Top_comment_unigram580', 'Top_comment_unigram581', 'Top_comment_unigram582', 'Top_comment_unigram583', 'Top_comment_unigram584', 'Top_comment_unigram585', 'Top_comment_unigram586', 'Top_comment_unigram587', 'Top_comment_unigram588', 'Top_comment_unigram589', 'Top_comment_unigram590', 'Top_comment_unigram591', 'Top_comment_unigram592', 'Top_comment_unigram593', 'Top_comment_unigram594', 'Top_comment_unigram595', 'Top_comment_unigram596', 'Top_comment_unigram597', 'Top_comment_unigram598', 'Top_comment_unigram599', 'Top_comment_unigram600', 'Top_comment_unigram601', 'Top_comment_unigram602', 'Top_comment_unigram603', 'Top_comment_unigram604', 'Top_comment_unigram605', 'Top_comment_unigram606', 'Top_comment_unigram607', 'Top_comment_unigram608', 'Top_comment_unigram609', 'Top_comment_unigram610', 'Top_comment_unigram611', 'Top_comment_unigram612', 'Top_comment_unigram613', 'Top_comment_unigram614', 'Top_comment_unigram615', 'Top_comment_unigram616', 'Top_comment_unigram617', 'Top_comment_unigram618', 'Top_comment_unigram619', 'Top_comment_unigram620', 'Top_comment_unigram621', 'Top_comment_unigram622', 'Top_comment_unigram623', 'Top_comment_unigram624', 'Top_comment_unigram625', 'Top_comment_unigram626', 'Top_comment_unigram627', 'Top_comment_unigram628', 'Top_comment_unigram629', 'Top_comment_unigram630', 'Top_comment_unigram631', 'Top_comment_unigram632', 'Top_comment_unigram633', 'Top_comment_unigram634', 'Top_comment_unigram635', 'Top_comment_unigram636', 'Top_comment_unigram637', 'Top_comment_unigram638', 'Top_comment_unigram639', 'Top_comment_unigram640', 'Top_comment_unigram641', 'Top_comment_unigram642', 'Top_comment_unigram643', 'Top_comment_unigram644', 'Top_comment_unigram645', 'Top_comment_unigram646', 'Top_comment_unigram647', 'Top_comment_unigram648', 'Top_comment_unigram649', 'Top_comment_unigram650', 'Top_comment_unigram651', 'Top_comment_unigram652', 'Top_comment_unigram653', 'Top_comment_unigram654', 'Top_comment_unigram655', 'Top_comment_unigram656', 'Top_comment_unigram657', 'Top_comment_unigram658', 'Top_comment_unigram659', 'Top_comment_unigram660', 'Top_comment_unigram661', 'Top_comment_unigram662', 'Top_comment_unigram663', 'Top_comment_unigram664', 'Top_comment_unigram665', 'Top_comment_unigram666', 'Top_comment_unigram667', 'Top_comment_unigram668', 'Top_comment_unigram669', 'Top_comment_unigram670', 'Top_comment_unigram671', 'Top_comment_unigram672', 'Top_comment_unigram673', 'Top_comment_unigram674', 'Top_comment_unigram675', 'Top_comment_unigram676', 'Top_comment_unigram677', 'Top_comment_unigram678', 'Top_comment_unigram679', 'Top_comment_unigram680', 'Top_comment_unigram681', 'Top_comment_unigram682', 'Top_comment_unigram683', 'Top_comment_unigram684', 'Top_comment_unigram685', 'Top_comment_unigram686', 'Top_comment_unigram687', 'Top_comment_unigram688', 'Top_comment_unigram689', 'Top_comment_unigram690', 'Top_comment_unigram691', 'Top_comment_unigram692', 'Top_comment_unigram693', 'Top_comment_unigram694', 'Top_comment_unigram695', 'Top_comment_unigram696', 'Top_comment_unigram697', 'Top_comment_unigram698', 'Top_comment_unigram699', 'Top_comment_unigram700', 'Top_comment_unigram701', 'Top_comment_unigram702', 'Top_comment_unigram703', 'Top_comment_unigram704', 'Top_comment_unigram705', 'Top_comment_unigram706', 'Top_comment_unigram707', 'Top_comment_unigram708', 'Top_comment_unigram709', 'Top_comment_unigram710', 'Top_comment_unigram711', 'Top_comment_unigram712', 'Top_comment_unigram713', 'Top_comment_unigram714', 'Top_comment_unigram715', 'Top_comment_unigram716', 'Top_comment_unigram717', 'Top_comment_unigram718', 'Top_comment_unigram719', 'Top_comment_unigram720', 'Top_comment_unigram721', 'Top_comment_unigram722', 'Top_comment_unigram723', 'Top_comment_unigram724', 'Top_comment_unigram725', 'Top_comment_unigram726', 'Top_comment_unigram727', 'Top_comment_unigram728', 'Top_comment_unigram729', 'Top_comment_unigram730', 'Top_comment_unigram731', 'Top_comment_unigram732', 'Top_comment_unigram733', 'Top_comment_unigram734', 'Top_comment_unigram735', 'Top_comment_unigram736', 'Top_comment_unigram737', 'Top_comment_unigram738', 'Top_comment_unigram739', 'Top_comment_unigram740', 'Top_comment_unigram741', 'Top_comment_unigram742', 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'Top_comment_bigram412', 'Top_comment_bigram413', 'Top_comment_bigram414', 'Top_comment_bigram415', 'Top_comment_bigram416', 'Top_comment_bigram417', 'Top_comment_bigram418', 'Top_comment_bigram419', 'Top_comment_bigram420', 'Top_comment_bigram421', 'Top_comment_bigram422', 'Top_comment_bigram423', 'Top_comment_bigram424', 'Top_comment_bigram425', 'Top_comment_bigram426', 'Top_comment_bigram427', 'Top_comment_bigram428', 'Top_comment_bigram429', 'Top_comment_bigram430', 'Top_comment_bigram431', 'Top_comment_bigram432', 'Top_comment_bigram433', 'Top_comment_bigram434', 'Top_comment_bigram435', 'Top_comment_bigram436', 'Top_comment_bigram437', 'Top_comment_bigram438', 'Top_comment_bigram439', 'Top_comment_bigram440', 'Top_comment_bigram441', 'Top_comment_bigram442', 'Top_comment_bigram443', 'Top_comment_bigram444', 'Top_comment_bigram445', 'Top_comment_bigram446', 'Top_comment_bigram447', 'Top_comment_bigram448', 'Top_comment_bigram449', 'Top_comment_bigram450', 'Top_comment_bigram451', 'Top_comment_bigram452', 'Top_comment_bigram453', 'Top_comment_bigram454', 'Top_comment_bigram455', 'Top_comment_bigram456', 'Top_comment_bigram457', 'Top_comment_bigram458', 'Top_comment_bigram459', 'Top_comment_bigram460', 'Top_comment_bigram461', 'Top_comment_bigram462', 'Top_comment_bigram463', 'Top_comment_bigram464', 'Top_comment_bigram465', 'Top_comment_bigram466', 'Top_comment_bigram467', 'Top_comment_bigram468', 'Top_comment_bigram469', 'Top_comment_bigram470', 'Top_comment_bigram471', 'Top_comment_bigram472', 'Top_comment_bigram473', 'Top_comment_bigram474', 'Top_comment_bigram475', 'Top_comment_bigram476', 'Top_comment_bigram477', 'Top_comment_bigram478', 'Top_comment_bigram479', 'Top_comment_bigram480', 'Top_comment_bigram481', 'Top_comment_bigram482', 'Top_comment_bigram483', 'Top_comment_bigram484', 'Top_comment_bigram485', 'Top_comment_bigram486', 'Top_comment_bigram487', 'Top_comment_bigram488', 'Top_comment_bigram489', 'Top_comment_bigram490', 'Top_comment_bigram491', 'Top_comment_bigram492', 'Top_comment_bigram493', 'Top_comment_bigram494', 'Top_comment_bigram495', 'Top_comment_bigram496', 'Top_comment_bigram497', 'Top_comment_bigram498', 'Top_comment_bigram499', 'Top_comment_bigram500', 'Top_comment_bigram501', 'Top_comment_bigram502', 'Top_comment_bigram503', 'Top_comment_bigram504', 'Top_comment_bigram505', 'Top_comment_bigram506', 'Top_comment_bigram507', 'Top_comment_bigram508', 'Top_comment_bigram509', 'Top_comment_bigram510', 'Top_comment_bigram511', 'Top_comment_bigram512', 'Top_comment_bigram513', 'Top_comment_bigram514', 'Top_comment_bigram515', 'Top_comment_bigram516', 'Top_comment_bigram517', 'Top_comment_bigram518', 'Top_comment_bigram519', 'Top_comment_bigram520', 'Top_comment_bigram521', 'Top_comment_bigram522', 'Top_comment_bigram523', 'Top_comment_bigram524', 'Top_comment_bigram525', 'Top_comment_bigram526', 'Top_comment_bigram527', 'Top_comment_bigram528', 'Top_comment_bigram529', 'Top_comment_bigram530', 'Top_comment_bigram531', 'Top_comment_bigram532', 'Top_comment_bigram533', 'Top_comment_bigram534', 'Top_comment_bigram535', 'Top_comment_bigram536', 'Top_comment_bigram537', 'Top_comment_bigram538', 'Top_comment_bigram539', 'Top_comment_bigram540', 'Top_comment_bigram541', 'Top_comment_bigram542', 'Top_comment_bigram543', 'Top_comment_bigram544', 'Top_comment_bigram545', 'Top_comment_bigram546', 'Top_comment_bigram547', 'Top_comment_bigram548', 'Top_comment_bigram549', 'Top_comment_bigram550', 'Top_comment_bigram551', 'Top_comment_bigram552', 'Top_comment_bigram553', 'Top_comment_bigram554', 'Top_comment_bigram555', 'Top_comment_bigram556', 'Top_comment_bigram557', 'Top_comment_bigram558', 'Top_comment_bigram559', 'Top_comment_bigram560', 'Top_comment_bigram561', 'Top_comment_bigram562', 'Top_comment_bigram563', 'Top_comment_bigram564', 'Top_comment_bigram565', 'Top_comment_bigram566', 'Top_comment_bigram567', 'Top_comment_bigram568', 'Top_comment_bigram569', 'Top_comment_bigram570', 'Top_comment_bigram571', 'Top_comment_bigram572', 'Top_comment_bigram573', 'Top_comment_bigram574', 'Top_comment_bigram575', 'Top_comment_bigram576', 'Top_comment_bigram577', 'Top_comment_bigram578', 'Top_comment_bigram579', 'Top_comment_bigram580', 'Top_comment_bigram581', 'Top_comment_bigram582', 'Top_comment_bigram583', 'Top_comment_bigram584', 'Top_comment_bigram585', 'Top_comment_bigram586', 'Top_comment_bigram587', 'Top_comment_bigram588', 'Top_comment_bigram589', 'Top_comment_bigram590', 'Top_comment_bigram591', 'Top_comment_bigram592', 'Top_comment_bigram593', 'Top_comment_bigram594', 'Top_comment_bigram595', 'Top_comment_bigram596', 'Top_comment_bigram597', 'Top_comment_bigram598', 'Top_comment_bigram599', 'Top_comment_bigram600', 'Top_comment_bigram601', 'Top_comment_bigram602', 'Top_comment_bigram603', 'Top_comment_bigram604', 'Top_comment_bigram605', 'Top_comment_bigram606', 'Top_comment_bigram607', 'Top_comment_bigram608', 'Top_comment_bigram609', 'Top_comment_bigram610', 'Top_comment_bigram611', 'Top_comment_bigram612', 'Top_comment_bigram613', 'Top_comment_bigram614', 'Top_comment_bigram615', 'Top_comment_bigram616', 'Top_comment_bigram617', 'Top_comment_bigram618', 'Top_comment_bigram619', 'Top_comment_bigram620', 'Top_comment_bigram621', 'Top_comment_bigram622', 'Top_comment_bigram623', 'Top_comment_bigram624', 'Top_comment_bigram625', 'Top_comment_bigram626', 'Top_comment_bigram627', 'Top_comment_bigram628', 'Top_comment_bigram629', 'Top_comment_bigram630', 'Top_comment_bigram631', 'Top_comment_bigram632', 'Top_comment_bigram633', 'Top_comment_bigram634', 'Top_comment_bigram635', 'Top_comment_bigram636', 'Top_comment_bigram637', 'Top_comment_bigram638', 'Top_comment_bigram639', 'Top_comment_bigram640', 'Top_comment_bigram641', 'Top_comment_bigram642', 'Top_comment_bigram643', 'Top_comment_bigram644', 'Top_comment_bigram645', 'Top_comment_bigram646', 'Top_comment_bigram647', 'Top_comment_bigram648', 'Top_comment_bigram649', 'Top_comment_bigram650', 'Top_comment_bigram651', 'Top_comment_bigram652', 'Top_comment_bigram653', 'Top_comment_bigram654', 'Top_comment_bigram655', 'Top_comment_bigram656', 'Top_comment_bigram657', 'Top_comment_bigram658', 'Top_comment_bigram659', 'Top_comment_bigram660', 'Top_comment_bigram661', 'Top_comment_bigram662', 'Top_comment_bigram663', 'Top_comment_bigram664', 'Top_comment_bigram665', 'Top_comment_bigram666', 'Top_comment_bigram667', 'Top_comment_bigram668', 'Top_comment_bigram669', 'Top_comment_bigram670', 'Top_comment_bigram671', 'Top_comment_bigram672', 'Top_comment_bigram673', 'Top_comment_bigram674', 'Top_comment_bigram675', 'Top_comment_bigram676', 'Top_comment_bigram677', 'Top_comment_bigram678', 'Top_comment_bigram679', 'Top_comment_bigram680', 'Top_comment_bigram681', 'Top_comment_bigram682', 'Top_comment_bigram683', 'Top_comment_bigram684', 'Top_comment_bigram685', 'Top_comment_bigram686', 'Top_comment_bigram687', 'Top_comment_bigram688', 'Top_comment_bigram689', 'Top_comment_bigram690', 'Top_comment_bigram691', 'Top_comment_bigram692', 'Top_comment_bigram693', 'Top_comment_bigram694', 'Top_comment_bigram695', 'Top_comment_bigram696', 'Top_comment_bigram697', 'Top_comment_bigram698', 'Top_comment_bigram699', 'Top_comment_bigram700', 'Top_comment_bigram701', 'Top_comment_bigram702', 'Top_comment_bigram703', 'Top_comment_bigram704', 'Top_comment_bigram705', 'Top_comment_bigram706', 'Top_comment_bigram707', 'Top_comment_bigram708', 'Top_comment_bigram709', 'Top_comment_bigram710', 'Top_comment_bigram711', 'Top_comment_bigram712', 'Top_comment_bigram713', 'Top_comment_bigram714', 'Top_comment_bigram715', 'Top_comment_bigram716', 'Top_comment_bigram717', 'Top_comment_bigram718', 'Top_comment_bigram719', 'Top_comment_bigram720', 'Top_comment_bigram721', 'Top_comment_bigram722', 'Top_comment_bigram723', 'Top_comment_bigram724', 'Top_comment_bigram725', 'Top_comment_bigram726', 'Top_comment_bigram727', 'Top_comment_bigram728', 'Top_comment_bigram729', 'Top_comment_bigram730', 'Top_comment_bigram731', 'Top_comment_bigram732', 'Top_comment_bigram733', 'Top_comment_bigram734', 'Top_comment_bigram735', 'Top_comment_bigram736', 'Top_comment_bigram737', 'Top_comment_bigram738', 'Top_comment_bigram739', 'Top_comment_bigram740', 'Top_comment_bigram741', 'Top_comment_bigram742', 'Top_comment_bigram743', 'Top_comment_bigram744', 'Top_comment_bigram745', 'Top_comment_bigram746', 'Top_comment_bigram747', 'Top_comment_bigram748', 'Top_comment_bigram749', 'Top_comment_bigram750', 'Top_comment_bigram751', 'Top_comment_bigram752', 'Top_comment_bigram753', 'Top_comment_bigram754', 'Top_comment_bigram755', 'Top_comment_bigram756', 'Top_comment_bigram757', 'Top_comment_bigram758', 'Top_comment_bigram759', 'Top_comment_bigram760', 'Top_comment_bigram761', 'Top_comment_bigram762', 'Top_comment_bigram763', 'Top_comment_bigram764', 'Top_comment_bigram765', 'Top_comment_bigram766', 'Top_comment_bigram767', 'Top_comment_bigram768', 'Top_comment_bigram769', 'Top_comment_bigram770', 'Top_comment_bigram771', 'Top_comment_bigram772', 'Top_comment_bigram773', 'Top_comment_bigram774', 'Top_comment_bigram775', 'Top_comment_bigram776', 'Top_comment_bigram777', 'Top_comment_bigram778', 'Top_comment_bigram779', 'Top_comment_bigram780', 'Top_comment_bigram781', 'Top_comment_bigram782', 'Top_comment_bigram783', 'Top_comment_bigram784', 'Top_comment_bigram785', 'Top_comment_bigram786', 'Top_comment_bigram787', 'Top_comment_bigram788', 'Top_comment_bigram789', 'Top_comment_bigram790', 'Top_comment_bigram791', 'Top_comment_bigram792', 'Top_comment_bigram793', 'Top_comment_bigram794', 'Top_comment_bigram795', 'Top_comment_bigram796', 'Top_comment_bigram797', 'Top_comment_bigram798', 'Top_comment_bigram799', 'Top_comment_bigram800', 'Top_comment_bigram801', 'Top_comment_bigram802', 'Top_comment_bigram803', 'Top_comment_bigram804', 'Top_comment_bigram805', 'Top_comment_bigram806', 'Top_comment_bigram807', 'Top_comment_bigram808', 'Top_comment_bigram809', 'Top_comment_bigram810', 'Top_comment_bigram811', 'Top_comment_bigram812', 'Top_comment_bigram813', 'Top_comment_bigram814', 'Top_comment_bigram815', 'Top_comment_bigram816', 'Top_comment_bigram817', 'Top_comment_bigram818', 'Top_comment_bigram819', 'Top_comment_bigram820', 'Top_comment_bigram821', 'Top_comment_bigram822', 'Top_comment_bigram823', 'Top_comment_bigram824', 'Top_comment_bigram825', 'Top_comment_bigram826', 'Top_comment_bigram827', 'Top_comment_bigram828', 'Top_comment_bigram829', 'Top_comment_bigram830', 'Top_comment_bigram831', 'Top_comment_bigram832', 'Top_comment_bigram833', 'Top_comment_bigram834', 'Top_comment_bigram835', 'Top_comment_bigram836', 'Top_comment_bigram837', 'Top_comment_bigram838', 'Top_comment_bigram839', 'Top_comment_bigram840', 'Top_comment_bigram841', 'Top_comment_bigram842', 'Top_comment_bigram843', 'Top_comment_bigram844', 'Top_comment_bigram845', 'Top_comment_bigram846', 'Top_comment_bigram847', 'Top_comment_bigram848', 'Top_comment_bigram849', 'Top_comment_bigram850', 'Top_comment_bigram851', 'Top_comment_bigram852', 'Top_comment_bigram853', 'Top_comment_bigram854', 'Top_comment_bigram855', 'Top_comment_bigram856', 'Top_comment_bigram857', 'Top_comment_bigram858', 'Top_comment_bigram859', 'Top_comment_bigram860', 'Top_comment_bigram861', 'Top_comment_bigram862', 'Top_comment_bigram863', 'Top_comment_bigram864', 'Top_comment_bigram865', 'Top_comment_bigram866', 'Top_comment_bigram867', 'Top_comment_bigram868', 'Top_comment_bigram869', 'Top_comment_bigram870', 'Top_comment_bigram871', 'Top_comment_bigram872', 'Top_comment_bigram873', 'Top_comment_bigram874', 'Top_comment_bigram875', 'Top_comment_bigram876', 'Top_comment_bigram877', 'Top_comment_bigram878', 'Top_comment_bigram879', 'Top_comment_bigram880', 'Top_comment_bigram881', 'Top_comment_bigram882', 'Top_comment_bigram883', 'Top_comment_bigram884', 'Top_comment_bigram885', 'Top_comment_bigram886', 'Top_comment_bigram887', 'Top_comment_bigram888', 'Top_comment_bigram889', 'Top_comment_bigram890', 'Top_comment_bigram891', 'Top_comment_bigram892', 'Top_comment_bigram893', 'Top_comment_bigram894', 'Top_comment_bigram895', 'Top_comment_bigram896', 'Top_comment_bigram897', 'Top_comment_bigram898', 'Top_comment_bigram899', 'Top_comment_bigram900', 'Top_comment_bigram901', 'Top_comment_bigram902', 'Top_comment_bigram903', 'Top_comment_bigram904', 'Top_comment_bigram905', 'Top_comment_bigram906', 'Top_comment_bigram907', 'Top_comment_bigram908', 'Top_comment_bigram909', 'Top_comment_bigram910', 'Top_comment_bigram911', 'Top_comment_bigram912', 'Top_comment_bigram913', 'Top_comment_bigram914', 'Top_comment_bigram915', 'Top_comment_bigram916', 'Top_comment_bigram917', 'Top_comment_bigram918', 'Top_comment_bigram919', 'Top_comment_bigram920', 'Top_comment_bigram921', 'Top_comment_bigram922', 'Top_comment_bigram923', 'Top_comment_bigram924', 'Top_comment_bigram925', 'Top_comment_bigram926', 'Top_comment_bigram927', 'Top_comment_bigram928', 'Top_comment_bigram929', 'Top_comment_bigram930', 'Top_comment_bigram931', 'Top_comment_bigram932', 'Top_comment_bigram933', 'Top_comment_bigram934', 'Top_comment_bigram935', 'Top_comment_bigram936', 'Top_comment_bigram937', 'Top_comment_bigram938', 'Top_comment_bigram939', 'Top_comment_bigram940', 'Top_comment_bigram941', 'Top_comment_bigram942', 'Top_comment_bigram943', 'Top_comment_bigram944', 'Top_comment_bigram945', 'Top_comment_bigram946', 'Top_comment_bigram947', 'Top_comment_bigram948', 'Top_comment_bigram949', 'Top_comment_bigram950', 'Top_comment_bigram951', 'Top_comment_bigram952', 'Top_comment_bigram953', 'Top_comment_bigram954', 'Top_comment_bigram955', 'Top_comment_bigram956', 'Top_comment_bigram957', 'Top_comment_bigram958', 'Top_comment_bigram959', 'Top_comment_bigram960', 'Top_comment_bigram961', 'Top_comment_bigram962', 'Top_comment_bigram963', 'Top_comment_bigram964', 'Top_comment_bigram965', 'Top_comment_bigram966', 'Top_comment_bigram967', 'Top_comment_bigram968', 'Top_comment_bigram969', 'Top_comment_bigram970', 'Top_comment_bigram971', 'Top_comment_bigram972', 'Top_comment_bigram973', 'Top_comment_bigram974', 'Top_comment_bigram975', 'Top_comment_bigram976', 'Top_comment_bigram977', 'Top_comment_bigram978', 'Top_comment_bigram979', 'Top_comment_bigram980', 'Top_comment_bigram981', 'Top_comment_bigram982', 'Top_comment_bigram983', 'Top_comment_bigram984', 'Top_comment_bigram985', 'Top_comment_bigram986', 'Top_comment_bigram987', 'Top_comment_bigram988', 'Top_comment_bigram989', 'Top_comment_bigram990', 'Top_comment_bigram991', 'Top_comment_bigram992', 'Top_comment_bigram993', 'Top_comment_bigram994', 'Top_comment_bigram995', 'Top_comment_bigram996', 'Top_comment_bigram997', 'Top_comment_bigram998', 'Top_comment_bigram999']
outcomes = ['Replies_informative_count', 'Replies_links_count', 'Replies_max_depth', 'Replies_sum_score', 'Replies_total_number', 'Top_comment_article_accommodation', 'Top_comment_certain_accommodation', 'Top_comment_conj_accommodation', 'Top_comment_discrep_accommodation', 'Top_comment_excl_accommodation', 'Top_comment_incl_accommodation', 'Top_comment_ipron_accommodation', 'Top_comment_negate_accommodation', 'Top_comment_quant_accommodation', 'Top_comment_tentat_accommodation', 'Replies_advice_count', 'Replies_laughter_count', 'Replies_gratitude_count', 'Replies_informative_URL_count', 'Replies_i_language_count', 'Replies_compliments_count', 'Replies_untuned_toxicity_children_count', 'Top_comment_direct_children', 'Replies_distinct_pairs_of_sustained_conversation', 'Replies_max_turns_of_sustained_conversations', 'Replies_untuned_non_toxic_percentage']
albert_eigenmetrics = ['PC0']
eigenmetrics = ['PC0']
albert_subreddit_header = 'Top_comment_subreddit'
albert_top_comment_text_header = 'Top_comment_text'
albert_post_text_header = 'Post_text'
roberta_top_comment_text_header = 'Top_comment_text'
roberta_eigenmetrics = 'PC0'
primary_key = 'Top_comment_id'
generic_token = '<GENERIC>'
generic_id = 0
num_subreddit_embeddings = 11993
subreddit_embeddings_size = 16
annotation_albert_tlc_text_header = ALBERT_TOP_COMMENT_TEXT_HEADER
annotation_albert_post_text_header = ALBERT_POST_TEXT_HEADER
annotation_albert_subreddit_header = ALBERT_SUBREDDIT_HEADER
annotation_albert_meta_features = ALBERT_META_FEATURES
annotation_albert_label_header = 'human_label'
baseline_annotation_model_tlc_text_header = 'Top_comment_text'
baseline_annotation_model_label_header = 'human_label'
annotation_xgboost_meta_features = XGBOOST_FEATURES
annotation_xgboost_labels_header = 'human_label' |
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