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def truc ( g, nbr _ func, even _ priorities, priorities ) : # priorities are sorted so we can take the min priority easily max _ values = [ l [ len ( l ) - 1 ] for l in priorities ] # print ( " max priorities " + str ( max _ even _ priorities ) ) empty _ set = set ( ) cache = set ( ) t = set ( g. nodes. keys ( ) ) whil...
[ 0.048948317766189575, 1.0373256206512451, 0.5311838388442993, -0.3684576451778412, 0.4031825065612793, -0.9681621789932251, 0.23278145492076874, 0.33606836199760437, -0.9844478368759155, 0.45649683475494385, -0.3471914827823639, 0.06977801769971848, -0.30681276321411133, -0.283837497234344...
def expired ( self ) - > bool : return datetime. datetime. now ( ) - self. when > self. expires _ after
[ -0.03860627859830856, 0.08410053700208664, 0.49248069524765015, 0.385404497385025, -0.4577426612377167, 0.30605557560920715, -1.6041285991668701, 0.5622497797012329, -0.24541683495044708, 0.21937808394432068, -0.26155856251716614, 0.07469582557678223, -0.41288214921951294, 0.20319929718971...
def initfig ( self, project _ id : int ) : projects = projects ( self. token ) self. project _ info = projects. get _ info ( project _ id ) self. article _ list = projects. list _ articles ( project _ id )
[ 0.19269061088562012, 0.49636679887771606, 0.20332539081573486, -0.4357197880744934, 0.5409576296806335, -0.14782766997814178, -0.7811915874481201, 0.0998229905962944, -1.337700605392456, -0.2008877545595169, -0.9140013456344604, 0.027764292433857918, 0.051700297743082047, 0.501671373844146...
def get _ all _ samples _ with _ len ( self, length, model _ output, inputs, pruning _ scheme, name = none ) : if self. eval _ matcher is none : self. eval _ matcher = self. _ get _ eval _ matcher ( pruning _ scheme ) if hasattr ( self. eval _ matcher,'get _ all _ samples') : return self. eval _ matcher. get _ all _ sa...
[ 0.24097320437431335, -0.45751434564590454, 0.6674131751060486, 0.7592976689338684, -0.285502165555954, -0.0557129941880703, -0.5984868407249451, -0.012892046011984348, 0.24867570400238037, -0.006377703510224819, -0.17667236924171448, -0.16104130446910858, -0.211257204413414, 0.425226658582...
def getsentoverallopinion ( sent, words, opinioncorpus ) : score = 0. 0 if len ( words )! = 0 : for w in words : if w in opinioncorpus ['positive'] : score + = 1. 0 elif w in opinioncorpus ['negative'] : score - = 1. 0 return score / len ( words ) else : return score
[ 0.2798486053943634, 0.015662411227822304, 0.48378080129623413, -0.33143696188926697, -0.16411960124969482, 0.00040910523966886103, -0.8946188688278198, 0.23455508053302765, 0.3638724684715271, 1.8052300214767456, 0.623267412185669, -0.5246263146400452, -1.3930615186691284, 0.23879539966583...
def test _ post _ _ empty ( self ) - > none : response : httpresponse = self. client. post ( self. path ) assert httpstatus. ok = = response. status _ code assert self. asserttemplateused ('accounts / register. html') form : modelform = response. context ['user _ form'] # noqa : e701 assert [ ] = = form. non _ field _ ...
[ -0.6395845413208008, 1.0626240968704224, 0.5725610256195068, 0.302278071641922, 0.8700414896011353, 0.8015532493591309, -0.02139011211693287, -0.21824045479297638, -0.6741504073143005, -0.7684718370437622, -1.134458303451538, -0.07587751746177673, 0.07779090851545334, 0.5169485807418823, ...
def ev2kjoulemol ( x ) : return x * ev _ to _ kjoulemol
[ 0.308505117893219, 0.11096084862947464, 0.28543683886528015, 0.33195027709007263, -0.702028751373291, 0.8117563128471375, -0.7075912952423096, 0.038221362978219986, 0.1374090313911438, 0.8353464007377625, -0.5622677206993103, -0.18497148156166077, 0.9192075133323669, -0.4885319769382477, ...
def reset _ map ( self ) : catalogue = [ ] if self. raster _ layer : catalogue. append ( qgsmapcanvaslayer ( self. raster _ layer ) ) catalogue. append ( qgsmapcanvaslayer ( self. catalogue _ layer ) ) self. canvas. setlayerset ( catalogue + [ qgsmapcanvaslayer ( s ) for s in self. source _ layers. values ( ) ] + [ qgs...
[ -0.4437485933303833, -0.5244548320770264, 0.16124369204044342, -0.1745784431695938, 0.3406144380569458, -0.05547712743282318, -0.037923455238342285, -0.47508957982063293, 0.38426661491394043, -0.9264793992042542, 0.3139899671077728, 0.5562374591827393, 0.031478401273489, 0.4036782681941986...
def test _ roman _ phot ( ) : import time image _ pos = galsim. positiond ( 153, 921 ) bp _ dict = galsim. roman. getbandpasses ( ) bandpass = bp _ dict ['j129'] sed = galsim. sed ('cww _ scd _ ext. sed ', wave _ type ='nm ', flux _ type ='flambda') flux = 1. e6 gal _ achrom = galsim. sersic ( n = 2. 8, half _ light _ ...
[ 0.6586688160896301, 0.41845253109931946, 0.7630007266998291, -0.08151523023843765, 0.2728925943374634, 0.13755489885807037, 0.1493459939956665, -0.5446403622627258, -0.043746303766965866, -1.0498048067092896, -0.42213132977485657, 0.3095678985118866, 0.4969310760498047, 0.26005882024765015...
def test _ check _ occ ( db _ test _ app, generate _ parser, data _ path, generate _ calc _ job _ node, sto _ calc _ inputs ) : inputs = sto _ calc _ inputs output _ folder = " si2 - occ " atoms = bulk ( " si2 ", " zincblende ", a = 4. 0 ) inputs. structure = structuredata ( ase = atoms ). store ( ) inputs. metadata. o...
[ 0.6410906314849854, -0.3341391384601593, 0.5797058939933777, 0.46154287457466125, -0.03022630512714386, 0.26313161849975586, 0.8456618189811707, 0.1919805109500885, -0.43238773941993713, 0.210657000541687, 0.5290984511375427, 0.23448589444160461, 0.07028769701719284, -0.1751551479101181, ...
def is _ run _ el ( obj ) : return hasattr ( obj, " run " ) and callable ( obj. run )
[ -0.2969985008239746, -0.2376878261566162, 0.5340919494628906, 1.349907636642456, -0.48799842596054077, 0.48195916414260864, 0.6613601446151733, -0.3436090648174286, 1.1547574996948242, 0.25349241495132446, -0.679684042930603, 0.2124856561422348, 0.0832236036658287, 0.2789515554904938, -0...
def setscale ( self, scale = 0. 05 ) : self. scale = scale
[ 0.2656135559082031, -0.6093252301216125, 0.5145108103752136, 0.3252924382686615, 0.24022242426872253, 0.8604835867881775, -0.2693612575531006, -0.6877696514129639, -0.8459346294403076, 0.37703585624694824, -0.48349833488464355, -0.60636967420578, -0.919701099395752, 1.371427059173584, 0....
def get _ range _ as _ disjunction ( slot : slotexpression ) - > set [ classdefinitionname ] : conjs = [ ] if slot. any _ of or slot. exactly _ one _ of : disj = set ( ) for s in slot. any _ of + slot. exactly _ one _ of : disj. update ( get _ range _ as _ disjunction ( s ) ) conjs. append ( disj ) if slot. range _ exp...
[ -1.3240516185760498, -1.0350220203399658, 0.5464304685592651, 0.20093847811222076, -0.06112191453576088, -0.2975717782974243, 0.9172463417053223, 0.0198246818035841, 0.007244916167110205, -0.46660080552101135, 0.13828080892562866, -0.30146437883377075, 0.14538972079753876, 0.85382205247879...
def sm _ flavor _ create ( context, values ) : return impl. sm _ flavor _ create ( context, values )
[ 0.22946037352085114, 0.27225401997566223, 0.20233726501464844, 0.8686847686767578, -0.3783242106437683, -0.8584916591644287, -0.028250066563487053, -0.6316708326339722, 0.44318124651908875, 0.1630021631717682, -0.5650235414505005, 0.2921765446662903, 0.4333690404891968, 0.23813912272453308...
def from _ db ( cls, *, data : dict ) : if not data : return data return cls ( * * data )
[ 0.2893715798854828, 0.5211963653564453, 0.2720469534397125, 0.26569053530693054, -0.7362072467803955, 0.7136496305465698, -1.6366887092590332, 0.08733253180980682, 0.5560072064399719, -0.3776962459087372, -0.15330718457698822, -0.2174118310213089, 0.008245173841714859, -0.01328510884195566...
def evaluate _ score ( score ) : if score > 100 or score < 0 : result = " invalid score " elif score > = 90 : result = " excellent " elif score > = 50 : result = " passable " else : result = " bad " return result
[ -1.4638077020645142, -0.5766733288764954, 0.5486334562301636, -0.7142332196235657, -0.5470709800720215, 0.1624360978603363, -0.7721334099769592, 0.032604657113552094, 0.2406904548406601, 0.8304033875465393, 0.47595643997192383, -0.05159495025873184, -0.31607937812805176, -0.474292486906051...
def kafka _ subscribe _ to _ topic ( self ) : return self. messagingqueue. subscribe _ to _ topic ( )
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def fitsol _ value ( self, xfit = none, idx = none ) : if xfit is none : xfit = self. _ detns if self. _ fitdict ['coeff'] is not none : if idx is none : return np. polyval ( self. _ fitdict [ " coeff " ], xfit / self. _ fitdict [ " scale " ] ) else : return np. polyval ( self. _ fitdict [ " coeff " ], xfit [ idx ] / s...
[ 0.349356472492218, -0.7797876596450806, 0.6903640627861023, -0.6735160946846008, -0.4573214650154114, -0.2797761857509613, -1.170939564704895, -1.0023775100708008, 0.571307361125946, -0.5936126708984375, -0.022045519202947617, 1.2492856979370117, -0.4945671558380127, -0.5628012418746948, ...
def intersector _ generalized ( x, y ) : if x [ 0 ]! = y [ 0 ] : return - 1 else : nbr _ functions = len ( x ) res = [ x [ 0 ] ] for func in range ( 1, nbr _ functions ) : res. append ( intersector ( x [ func ], y [ func ] ) ) return res
[ -1.5070219039916992, 1.4310791492462158, 0.7495386004447937, 1.2405322790145874, -0.005782505497336388, -0.5265144109725952, -0.5250310301780701, -0.27546221017837524, -0.708958089351654, 0.9558306336402893, -0.6098402142524719, -0.018101880326867104, -0.20844852924346924, 0.38065165281295...
def lambda _ handler ( event, context ) : # config object cmap _ config = {'wind _ speed': {'color _ map': cm. get _ cmap ('viridis'),'data _ range': [ 0, 25 ] },'current _ speed': {'color _ map': cm. get _ cmap ('magma'),'data _ range': [ 0, 2 ] },'wave _ amp': {'color _ map': cm. get _ cmap ('jet'),'data _ range': [ ...
[ 0.8426079154014587, 0.20997539162635803, 0.8498201966285706, -0.7272163033485413, 0.11151519417762756, 0.24598407745361328, 0.31929463148117065, 0.6893309354782104, 0.06312950700521469, 0.6836041808128357, -0.6736258864402771, 0.5319389700889587, 0.5933483839035034, 0.4436662495136261, 0...
def get _ linkname _ outparams _ add ( self ) : return " output _ parameters _ add "
[ -0.7400705218315125, -0.7977036237716675, 0.6071158647537231, 0.03821070119738579, 0.18235550820827484, 0.5265259146690369, 0.21635468304157257, -0.25824999809265137, -0.39134150743484497, 0.360469251871109, 0.49571356177330017, 0.9849330186843872, 0.07759107649326324, 0.27208203077316284,...
def result ( results, scene, test _ number ) : # if there are no transactions, return none and test number. if len ( results [ 0 ]. analyzers. getbyname ( " transactions " ). get _ analysis ( ) ) = = 0 : print ( f " { test _ number } has no transactions. " ) return if scene [ " save _ tearsheet " ] : agg _ dict = { } t...
[ 0.5426820516586304, 0.6829614043235779, 0.7484316229820251, -0.31335514783859253, 0.6401439905166626, -0.5183999538421631, 0.8869239091873169, -0.7404500842094421, 0.3061862587928772, -0.28341391682624817, -0.09863616526126862, -0.49979349970817566, 0.2962453067302704, 0.2859342694282532, ...
def read _ keyfile ( filepath ) : key = np. loadtxt ( filepath, dtype = np. uint32 ) suffix = filepath. rsplit ('_ ', maxsplit = 1 ) [ - 1 ] if suffix. startswith ('(') and suffix. endswith (')') : # restore it correctly shape = literal _ eval ( suffix ) # cut off the appended tuple and interpret it as one key = key. r...
[ -0.5488408803939819, 0.06334949284791946, 0.440622478723526, -1.2764633893966675, -0.7619339823722839, 0.07485480606555939, 0.014496604911983013, 0.3023633062839508, -0.697860062122345, 1.103880524635315, -0.39259737730026245, -0.017549654468894005, -0.7424532175064087, -0.6530619859695435...
def test _ stratisd _ version _ permissions ( self ) : self. _ test _ permissions ( stratisdbus. stratisd _ version, [ ], false )
[ -0.423917680978775, 0.6419768929481506, 0.31491002440452576, 0.4493018686771393, 0.3118840754032135, 0.721550464630127, 0.3158436417579651, -0.41021209955215454, -0.2820311486721039, 0.8271965980529785, -0.1639794409275055, 0.06255229562520981, -0.07725466787815094, -0.21539728343486786, ...
def mail _ nicknames ( self ) - > sequence [ str ] : return pulumi. get ( self, " mail _ nicknames " )
[ -0.7064502835273743, 0.6434094905853271, 0.2699905037879944, 0.1899229884147644, 0.371319979429245, 0.816373348236084, -0.880710244178772, -0.69666987657547, 0.5381032824516296, 0.3841712176799774, -2.0139946937561035, 1.4652211666107178, 0.4732939600944519, -0.7960522770881653, -1.50304...
def get _ encoder ( encoder _ cfg : roformerencoderconfig ) : return roformer _ encoder. roformerencoder ( vocab _ size = encoder _ cfg. vocab _ size, hidden _ size = encoder _ cfg. hidden _ size, num _ layers = encoder _ cfg. num _ layers, num _ attention _ heads = encoder _ cfg. num _ attention _ heads, intermediate ...
[ 0.21639473736286163, -0.9029964208602905, 0.08641500771045685, 0.14884738624095917, 0.006149729248136282, -0.599063515663147, 0.6510028839111328, 0.16431009769439697, 0.027175845578312874, 0.15969504415988922, -0.30592188239097595, 0.15481138229370117, -0.2989150285720825, 1.10722661018371...
def test _ topo _ to _ sph ( ) : rng = np. random. randomstate ( 0 ) angles = rng. rand ( 10 ) * 360 radii = rng. rand ( 10 ) angles [ 0 ] = 30 radii [ 0 ] = 0. 25 # new way sph = _ topo _ to _ sph ( np. array ( [ angles, radii ] ). t ) new = _ sph _ to _ cart ( sph ) new [ :, [ 0, 1 ] ] = new [ :, [ 1, 0 ] ] * [ - 1, ...
[ -0.36953410506248474, -0.559577226638794, 0.6559941172599792, -0.39711689949035645, -0.013909083791077137, 0.7816565036773682, 0.14883144199848175, -0.20690646767616272, -0.16202731430530548, 0.4036678969860077, -0.6337287425994873, 0.23043018579483032, 0.05881655588746071, -0.314212739467...
def solve _ var ( expr, vars ) : try : return result ( structured. resolve ( vars, expr. value ), ( ) ) except ( keyerror, attributeerror ) as e : # raise a better exception for accessing a non - existent member. raise errors. efilterkeyerror ( root = expr, key = expr. value, message = e, query = expr. source ) except ...
[ -0.1840551346540451, -0.11045238375663757, 0.5110170841217041, -1.0917807817459106, -0.3061886429786682, -1.3116036653518677, -0.4121762216091156, 0.19105765223503113, 0.18682801723480225, -0.1272382289171219, 0.06387198716402054, 0.5150933861732483, 0.042978495359420776, -0.14139282703399...
def _ _ init _ _ ( _ _ self _ _, *, datastore _ cluster _ id : optional [ pulumi. input [ str ] ] = none, enabled : optional [ pulumi. input [ bool ] ] = none, mandatory : optional [ pulumi. input [ bool ] ] = none, name : optional [ pulumi. input [ str ] ] = none, virtual _ machine _ ids : optional [ pulumi. input [ s...
[ -0.3738677501678467, 0.5774664878845215, 0.5773764252662659, -0.2861611843109131, 0.4590701758861542, 0.5661303997039795, -0.8790648579597473, 0.8631163835525513, 0.3878397047519684, 0.8570771217346191, -1.2753928899765015, 0.3398839831352234, 0.0635092481970787, -0.40334224700927734, -0...
def unpickle ( file _ or _ filename, nobjects = none, new = true ) : if hasattr ( file _ or _ filename,'read') : f = file _ or _ filename elif file _ or _ filename [ - 3 : ] = = ". gz " : import gzip f = gzip. open ( file _ or _ filename ) else : f = open ( file _ or _ filename ) def unpickle1 ( ) : o = pickle. load ( ...
[ -0.5174557566642761, -0.19028927385807037, 0.9063063859939575, 0.05697024613618851, 0.1499839872121811, -0.6522809267044067, 0.5688601732254028, 0.13426202535629272, -0.913036048412323, 0.2544197142124176, 0.040651727467775345, -0.7503484487533569, 0.15696318447589874, -0.25040000677108765...
def start _ range ( self ) : def flatten ( d, tag = none ) : # flatten a nest of dictionaries into ( tuple of keys, value ) pairs l = list ( ) if tag is none : tag = tuple ( ) for k, v in d. iteritems ( ) : if isinstance ( v, mutablemapping ) : l. extend ( flatten ( v, tag + ( k, ) ) ) else : l. append ( ( tag + ( k, )...
[ -0.9430777430534363, -0.18927989900112152, 0.5756516456604004, 0.0526033490896225, 0.13931380212306976, -0.651231586933136, 0.6028335094451904, -0.18006275594234467, -0.6774693131446838, 0.3394472599029541, 0.3597382605075836, 0.46667447686195374, 0.1341916024684906, -0.12799452245235443, ...
def player _ turn ( player, dominoes, played, winner ) : if winner : return none # find left and right most played numbers left = played [ 0 ] [ 0 ] length = len ( played ) right = played [ length - 1 ] [ 1 ] pick = false print ( " status : it's your turn to make a move. enter your command. " ) while not pick : cmd = i...
[ -0.32581058144569397, -0.18204468488693237, 1.0547411441802979, -0.03030720166862011, -0.3654717803001404, 0.008558879606425762, 0.920659065246582, 0.17510336637496948, 0.11119981855154037, 0.07356218993663788, -0.3061427175998688, -0.15166203677654266, -0.3983953595161438, -0.616532921791...
async def _ _ call _ _ ( self, * args, * * kwargs ) : self. simplug _ hooks. _ sort _ registry ( ) results = [ ] for plugin in self. simplug _ hooks. _ registry. values ( ) : if not plugin. enabled : continue hook = plugin. hook ( self. name ) if hook is none : continue plugin _ args = ( plugin. plugin, * args ) if hoo...
[ -0.4617343842983246, 0.1145581603050232, 0.7362763285636902, 0.5388271808624268, 1.1226060390472412, -0.9515470862388611, 0.31401026248931885, 0.24907582998275757, 0.29942581057548523, 0.41652143001556396, -0.509676992893219, 0.16789205372333527, -0.7366313934326172, 0.018760712817311287, ...
def processmethod ( data, s _ name, is _ lock = false, args = false ) : type _ list = getallextdatatype ( ) results = { } # we retrieve the proxy configuration if data and data. has _ key ('proxy') : proxy = data ['proxy'] else : proxy = false # 1. observe the type of source ( database, file,... ) if data and data ['da...
[ -0.3590526580810547, 0.7261720895767212, 0.7681573629379272, -0.02974691241979599, 0.45122677087783813, -0.6811147928237915, -0.08883699774742126, -0.28777068853378296, -0.06356728076934814, 0.4116986393928528, -0.23850955069065094, -0.09760132431983948, -0.05607011541724205, 0.86226332187...
def getrandom ( self ) : # note that randint ( a, b ) to pick a random integer a < = random < = b. ri = self. random. randint ( 0, len ( self. numloc ) - 1 ) return self. numloc [ ri ]
[ -0.2428024709224701, -0.4400664269924164, 0.42458418011665344, -0.3632661998271942, 0.31502729654312134, 0.7816224694252014, 1.087661862373352, -0.16611067950725555, 0.6352010369300842, -0.8624599575996399, 0.2563256621360779, 0.3315001428127289, -0.9086665511131287, -0.48582154512405396, ...
def find _ by _ name ( self, name ) : if not self. has _ name : raise blenderfilereadexception ('object type do not have a name') name _ bytes = name. encode ( ) for obj in self : _ name = obj. id. name if _ name [ 2 : _ name. index ( 0 ) ] = = name _ bytes : return obj raise keyerror ('file do not have { } objects nam...
[ 0.14462251961231232, -1.1691958904266357, 0.7094252109527588, 0.12462107092142105, -0.38939887285232544, 0.3399076461791992, 0.7760230898857117, -1.4578920602798462, -1.2389588356018066, 0.49431005120277405, -0.9572977423667908, -0.0518590472638607, -1.0933862924575806, 0.25959962606430054...
def as _ wkb ( self, ewkb = true ) : if self. srid and ewkb : geos. wkbwriter. defaults ['include _ srid'] = true else : geos. wkbwriter. defaults ['include _ srid'] = false return self. _ shape. wkb _ hex
[ 0.3243336081504822, 0.14238415658473969, 0.44075101613998413, -0.20537276566028595, -0.20178842544555664, 0.7402205467224121, 0.2085237205028534, 0.4522482454776764, 0.5132907032966614, 0.4142303466796875, 0.6180111169815063, 0.023787258192896843, -0.2863143980503082, 1.1477806568145752, ...
def _ _ init _ _ ( self, name ='', database _ name = none ) : self. name = name self. _ trial _ id _ map = { } self. apps = [ ] # [ ( name, desc, [ row idxs ] ) ] self. machines = [ ] # [ ( name, desc, [ row idxs ] ) ] self. datasets = [ ] # [ ( name, desc, [ row idxs ] ) ] self. metrics = [ ] # [ ( name, desc, type ) ...
[ 0.7217654585838318, 0.45481032133102417, 0.5580909252166748, 0.3029121160507202, 0.15126609802246094, 0.11243381351232529, -0.0980381891131401, -0.004504513926804066, -0.14043234288692474, 0.2546418309211731, -0.4030746519565582, 0.14880718290805817, 0.05022556334733963, 1.0185049772262573...
def strtofloat ( string ) : try : if " / " in string : slashpos = string. index ( " / " ) num = float ( string [ : slashpos ] ) den = float ( string [ slashpos + 1 : ] ) res = num / den return res else : return float ( string ) except typeerror : raise typeerror ( " the argument must be a number loaded in a string " )
[ 0.5892179608345032, -0.17285005748271942, 0.5405047535896301, -0.07008892297744751, -0.2832810878753662, -0.3976001441478729, 0.9330213069915771, -0.4780840575695038, -0.48776373267173767, -0.7272965908050537, 0.5481588840484619, -0.44207286834716797, -0.7856513857841492, -0.49699345231056...
def get _ auth ( self ) : if not self. token : self. _ set _ auth ( ) return self. token
[ -0.8844019770622253, -0.4716714322566986, 0.24899618327617645, 0.9620102643966675, -0.05833140015602112, -0.5294092297554016, 0.4422898292541504, -0.15737341344356537, 0.7968756556510925, -1.4074803590774536, 0.05249345302581787, 1.06990647315979, -0.15855608880519867, -0.652920126914978, ...
def make _ pair _ maps ( pair _ file, fmt, qbed, sbed ) : qmap = collections. defaultdict ( list ) # key is query, value is a list of subject hits smap = collections. defaultdict ( list ) print > > sys. stderr, " pair file : ", pair _ file for pair in get _ pair ( pair _ file, fmt, qbed, sbed ) : if pair is none : brea...
[ -0.7762717008590698, -0.4533535838127136, 0.375754177570343, -0.5362856388092041, -0.5656634569168091, 0.7381641268730164, 0.5729807019233704, 0.4165976345539093, 0.11953334510326385, -0.34234243631362915, -0.32731932401657104, -0.626782238483429, 0.17378778755664825, 0.4064851403236389, ...
def learning _ by _ penalized _ gradient ( y, tx, w, gamma, lambda _ ) : loss, gradient, hessian = penalized _ logistic _ regression ( y, tx, w, lambda _ ) w = w - gamma * np. linalg. inv ( hessian ). dot ( gradient ) return loss, w
[ 0.4362281262874603, -0.45524054765701294, 0.5778142213821411, -0.3616039752960205, -0.3857611417770386, -0.14542420208454132, 0.08632275462150574, -0.7212151885032654, -1.0375618934631348, 0.8262881636619568, -0.1065923348069191, 0.3341434895992279, 0.014727357774972916, 0.3824805021286011...
def get _ weight _ grad ( model, inputs, outputs ) : grads = model. optimizer. get _ gradients ( model. total _ loss, model. trainable _ weights ) symb _ inputs = ( model. _ feed _ inputs + model. _ feed _ targets + model. _ feed _ sample _ weights ) f = k. function ( symb _ inputs, grads ) x, y, sample _ weight = mode...
[ 0.11615943163633347, 0.007212416268885136, 0.4955044090747833, 0.5540949702262878, -0.7506064176559448, -0.9241226315498352, -0.11327334493398666, -0.4848930835723877, -1.473968744277954, 0.09674250334501266, 0.2045060396194458, 0.00016513396985828876, -0.17830030620098114, 0.1938061267137...
def hint _ pose _ qx ( self, qx ) : if not number. is _ real _ number ( qx ) : raise validationerror ( " quarternion x component must be a number ( value is % s ) " % qx ) elif not number. is _ finite ( qx ) : raise validationerror ( " quaternion x component must be a finite number " " ( value is % s ) " % qx ) else : ...
[ -0.07678432762622833, 0.2572818994522095, 0.6991194486618042, -0.2771665155887604, -0.5905253291130066, 1.5309109687805176, 0.3185226023197174, -1.3108726739883423, 0.8500805497169495, -1.1391979455947876, -0.4553918242454529, -0.3115692436695099, -0.18515914678573608, -0.6188894510269165,...
def test _ user _ email _ invalid ( self ) : with self. assertraises ( valueerror ) : get _ user _ model ( ). objects. create _ user ( none, " test123 " )
[ 0.6611291766166687, 0.8716357946395874, -0.08835350722074509, 0.6709941625595093, 0.6143541932106018, 0.5392187237739563, -0.07341663539409637, 0.803780734539032, -0.2869335114955902, -0.4864463806152344, -0.6112214922904968, -0.018983816727995872, -0.6525219082832336, -0.14474362134933472...
def darks _ and _ zeros ( ) : keywords = keywords _ dark _ zero result = dict ( ) for fn in all _ files : try : f = pyfits. open ( fn ) header = f [ 0 ]. header f. close ( ) date = fn. split ('/') date = date [ - 2 ] except : continue # take only darks try : imagetyp = header ['imagetyp']. upper ( ) except : print ('% ...
[ -0.5619703531265259, -1.042661428451538, 0.6100063920021057, -0.20500588417053223, -0.5663226246833801, -0.20734547078609467, -0.39112749695777893, -0.08741258829832077, -0.5568045377731323, -0.27467209100723267, -0.13127350807189941, 0.13859319686889648, 0.06140437722206116, 1.28325235843...
def get _ res ( self ) : # todo maybe do this different # or if complexer output node exists take from there. xpath _ energy ='/ fleuroutput / scfloop / iteration / totalenergy / @ value'xpath _ distance ='/ fleuroutput / scfloop / iteration / densityconvergence / chargedensity / @ distance'# be aware of magnetism # de...
[ -0.2867094874382019, -0.528810977935791, 0.6609746813774109, 0.0958947166800499, 0.13954439759254456, -0.2919773459434509, 0.7893169522285461, 0.29087337851524353, -0.33638718724250793, -0.6895593404769897, 0.38520509004592896, -0.7357297539710999, 0.5543959140777588, -0.007670951075851917...
def load _ data ( self, debug = false ) : with open ( self. config. vocab _ file,'r') as f : self. vocab = pickle. load ( f ) self. char = character ( ) train _ text = [ ] valid _ text = [ ] test _ text = [ ] train _ chars = [ ] valid _ chars = [ ] test _ chars = [ ] input _ text = [ ] chars = [ ] last _ char = " " las...
[ -0.3292965888977051, -0.29276224970817566, 0.8197404742240906, -0.3761993646621704, -0.43460556864738464, -0.1908414661884308, -0.2011498212814331, 0.42288434505462646, 0.3333524465560913, 0.2222183644771576, -0.6875012516975403, 0.5245921611785889, -0.19074906408786774, -0.326079368591308...
def forward ( self, x1, x2, diag = false, last _ dim _ is _ batch = false, full _ covar = true, * * params ) : if last _ dim _ is _ batch : raise notimplementederror ( ) else : z1 = self. model ( x1 ) z2 = self. model ( x2 ) out = torch. matmul ( z1, z2. t ) if diag : return torch. diag ( out ) else : return out
[ 0.07338879257440567, 0.5313588380813599, 0.5332438349723816, 0.8447732925415039, -0.23753008246421814, 0.08571197092533112, 0.5053116083145142, 0.835164487361908, -0.9979850053787231, 0.18442682921886444, 0.012243918143212795, 0.6560865640640259, 0.6013416647911072, -0.7482312321662903, ...
def compile _ str _ from _ parsed ( parsed ) : result ='' for literal _ text, field _ name, format _ spec, conversion in parsed : # output the literal text if literal _ text : result + = literal _ text # if there's a field, output it if field _ name is not none : result + ='{'if field _ name! ='' : result + = field _ n...
[ 0.4233971834182739, -1.4630533456802368, 0.6978192925453186, -0.6544806957244873, -0.1574581116437912, 0.18258750438690186, -0.9664545059204102, -0.10872090607881546, -0.8307138681411743, -0.27532869577407837, 0.4758501350879669, 0.1828078329563141, 0.3517529368400574, -0.13459259271621704...
def enable _ buttons ( click ) : global images _ path, anns _ path, analysis _ path if click : # if user inserted images and anns if images _ path! = " " and anns _ path! = " " : analysis _ path = analyze _ dataset ( images _ path, anns _ path ) # dashboard click event dashboard _ click = int ( time. time ( ) ) return ...
[ 0.26096177101135254, 0.9501145482063293, 0.8519428372383118, 0.48782119154930115, 0.2330884337425232, 0.244890034198761, 0.47988125681877136, 1.1200376749038696, -0.4375500977039337, -0.19312959909439087, -0.29718247056007385, -0.43991807103157043, 0.2255939245223999, 0.6886070370674133, ...
def printalletitler ( dic ) : for key in sorted ( dic ) : print ( key )
[ 0.8057761788368225, -0.8428035974502563, 0.4961155652999878, -0.4839458465576172, -0.9386224150657654, 0.33110716938972473, -1.5074491500854492, -0.26741790771484375, -0.42576226592063904, 0.8227728009223938, -0.12064740806818008, 0.5363025069236755, 0.2344045490026474, 1.3223830461502075,...
def save _ data ( df, database _ filename ) : engine = create _ engine ('sqlite : / / /'+ database _ filename ) table _ name = database _ filename. replace ( ". db ", " " ) + " _ table " print ('table _ name : { } '. format ( table _ name ) ) df. to _ sql ( table _ name, engine, index = false, if _ exists ='replace')
[ -0.16099044680595398, 0.6889426112174988, 0.5617651343345642, 0.56159508228302, 0.5164526104927063, -0.08007015287876129, 0.05648016184568405, 0.5774583220481873, -1.4156216382980347, 0.5330036878585815, -0.6225144863128662, 0.19903896749019623, 0.14799536764621735, 0.29247409105300903, ...
def _ _ offset _ slot ( self, max _ players _ team, slot ) : # clamp slot number to min or max of the gamemode if slot < 0 : ind = 0 elif slot > ( max _ players _ team * 2 ) - 1 : ind = ( max _ players _ team * 2 ) - 1 else : ind = slot # if the slot is on team2, offset it to find the real position in playerlist if slo...
[ -0.6913836598396301, -0.2185329794883728, 0.5638619065284729, -0.8289437890052795, -1.769511342048645, 0.6915944218635559, 0.27984535694122314, 0.35516035556793213, -0.5641693472862244, 0.7015485167503357, 0.32156166434288025, -0.06356292963027954, -0.17635416984558105, -0.1818533092737198...
def _ _ init _ _ ( self, base _ path : optional [ union [ str, path ] ] = none, in _ memory : bool = true, wiki _ language : str = " dewiki ", * * corpusargs, ) - > none : self. wiki _ language = wiki _ language base _ path = flair. cache _ root / " datasets " if not base _ path else path ( base _ path ) # this dataset...
[ -0.27487632632255554, 0.06225830689072609, 0.784045934677124, -0.7328396439552307, -0.32813549041748047, -0.46070849895477295, -0.0442458838224411, 0.820529043674469, -0.502815306186676, -0.8814654350280762, 0.1056278869509697, -0.08973953872919083, 0.6187304258346558, 0.271209716796875, ...
def instance _ system _ metadata _ delete ( context, instance _ uuid, key ) : impl. instance _ system _ metadata _ delete ( context, instance _ uuid, key )
[ -1.3635846376419067, 0.22861452400684357, 0.3021598160266876, -0.2257518470287323, 0.05878037214279175, 0.7814584374427795, -0.028856510296463966, 0.85518878698349, -0.65876305103302, 1.2864943742752075, -0.0005816279444843531, 0.8591709733009338, -0.07894623279571533, -0.32309138774871826...
def staff _ email ( self, email ) : if not self. auth or not self. auth. domains : return false staff _ domains = self. auth. domains domain = email [ email. index ('@') + 1 : ] return domain. lower ( ) in [ staff _ domain. lower ( ) for staff _ domain in staff _ domains ]
[ -0.44823157787323, 0.7772592306137085, 0.639011800289154, 0.18464210629463196, -0.5785694122314453, 0.32560864090919495, 0.1046639233827591, 0.029574234038591385, -0.2359682023525238, -0.32453835010528564, -0.0027841669507324696, 1.6572725772857666, -0.8465524911880493, 0.30565327405929565...
def height ( self ) : m = self. text. rows return m * self. char _ height + ( m - 1 ) * self. y _ space
[ 0.8091994524002075, -0.2886078655719757, 0.5066651105880737, 0.5129194259643555, -0.8587861657142639, 0.0940626859664917, 0.6958016157150269, 0.6301866173744202, -0.11689944565296173, -0.08704764395952225, -0.3825884759426117, 0.1651354432106018, -0.17409542202949524, 0.0931088775396347, ...
def device _ info ( self ) : return { " identifiers " : { ( domain, self. _ uuid ) }, " name " : self. _ device. device _ data [ self. _ uuid ] [ " name " ], " manufacturer " : " nest labs ", " model " : " camera ", }
[ -1.0880463123321533, 0.05489913746714592, 0.23348166048526764, 0.1527055948972702, -0.34407925605773926, -0.10079048573970795, -0.2883516252040863, -0.46766114234924316, -0.16377019882202148, -0.29483702778816223, -1.2036688327789307, 0.40292105078697205, 0.49296557903289795, 0.19428808987...
def chain _ count ( self ) : return len ( self. chains ( ) )
[ 0.21733304858207703, -0.15363077819347382, 0.365648090839386, 0.0024051174987107515, 0.8087153434753418, 0.48250579833984375, 0.08873136341571808, -0.000014636446394433733, -0.31968143582344055, -1.4320720434188843, -0.47438499331474304, 0.8978627920150757, -0.4343098998069763, 0.399087548...
def filter _ cases ( suite _ id, comp _ list, pid ) : comp = [ ] for cn in comp _ list : query ='select * from testcasemanage _ component where comp _ name = " { 0 } " '. format ( cn ) result = autodb. select _ one _ record ( query ) temp = result [ 0 ] ['comp _ id'] comp. append ( str ( temp ) ) compstr = ', '. join (...
[ -0.09635365009307861, -0.9639861583709717, 0.636985719203949, 0.339986115694046, 0.470718115568161, -0.0485021211206913, 0.07762465626001358, 0.33272501826286316, 0.5506106615066528, 0.6980060338973999, 0.4445251226425171, -0.369430273771286, -0.797719419002533, 0.8292331695556641, -0.41...
def get _ initial _ parameters ( scenario _ number ) : # stop trtmo trtl mor inr mop avgdur scenario _ dict = { 0 : ( 0, false, 0, 1. 0, 4. 0, 0. 1, 4. 0 ), 1 : ( 150, false, 0, 0. 1, 0. 4, 0. 25, 3. 0 ), 2 : ( 150, true, 150000, 0. 1, 0. 4, 0. 25, 3. 0 ), 3 : ( 0, true, 150000, 0. 25, 1. 5, 0. 1, 4. 0 ), 4 : ( 20, fal...
[ -0.01292501948773861, -0.0702228844165802, 0.7438912391662598, -0.12360020726919174, -0.28060927987098694, -0.08721770346164703, 0.9599831700325012, -0.10155493021011353, -0.34968969225883484, 1.1388230323791504, -0.3224126696586609, 0.23624294996261597, 0.13237662613391876, 0.256403446197...
def make _ length ( self, value ) : return round ( float ( value ) * self. mult * self. scale, 3 )
[ 0.435585618019104, -0.17508052289485931, 0.18746043741703033, -1.291993498802185, -0.7013759016990662, 1.1919598579406738, 0.21570612490177155, -0.7105446457862854, 0.5593507885932922, 0.6481262445449829, -0.12227986752986908, -1.0303860902786255, 0.2546733319759369, -0.0712289810180664, ...
def create _ alias ( self, name ) : # create the alias res = requests. put ( self. index _ endpoint +'/ _ aliases / % s'% name ) if res. status _ code! = 200 : raise httperror ( res. status _ code, res. content ) else : return true
[ -1.0341025590896606, 0.2944905757904053, 0.7620953917503357, -0.3163529634475708, 0.16402174532413483, 0.8859577178955078, -0.49419987201690674, -0.4142667055130005, -0.1095343604683876, 0.976952850818634, -1.0307433605194092, -0.44141319394111633, -0.6490374803543091, -0.41830310225486755...
def encode ( self, value ) : padding = self. padding if self. precision > 0 and self. padding > 0 : # padding shouldn't include decimal digits or the decimal point. padding + = self. precision + 1 return super ( numberfield, self ). encode ( ('% % 0 % d. % df'% ( padding, self. precision ) ) % ( value + self. offset ) ...
[ 0.025712454691529274, 0.43720152974128723, 0.699087381362915, -0.43073365092277527, -0.4722633361816406, 0.6617252826690674, 0.13081178069114685, -0.48496484756469727, 0.14137353003025055, -0.8533822894096375, -0.11544729024171829, -0.34466353058815, 0.0626542791724205, 0.523652970790863, ...
def compute _ group _ auto _ corr ( v, maxlag ) : # get dimensions of input array with samples n _ pts = np. shape ( v ) [ 0 ] n _ var = np. shape ( v ) [ 1 ] # initialize array auto _ corr = np. zeros ( ( maxlag, n _ var ) ) # get mean and variance of v for each variable over the samples provided v _ m = v. mean ( 0 )...
[ -0.09165104478597641, -0.3195117712020874, 0.6329291462898254, 0.13659651577472687, -0.248494952917099, -0.36512258648872375, 0.8498808145523071, 0.4948172867298126, -0.7300512790679932, 0.9221989512443542, 0.3099732995033264, 1.097396731376648, -0.3878875970840454, -0.12089436501264572, ...
def put _ state ( id : int, options : dict ) : return request ( " put ", f " groups / { id } / action ", dumps ( options ) )
[ -1.7834104299545288, 0.20880703628063202, 0.31682902574539185, -0.6291929483413696, 0.41541895270347595, -0.2916411757469177, 0.2208900898694992, -1.1264171600341797, 0.15992489457130432, 0.581935465335846, -0.3845517039299011, 0.5043084621429443, -1.3840705156326294, -0.8001540899276733, ...
def discount _ cumsum ( self, x, discount ) : return signal. lfilter ( [ 1 ], [ 1, float ( - discount ) ], x [ : : - 1 ], axis = 0 ) [ : : - 1 ]
[ 0.5623955130577087, 0.3902968764305115, 0.8970307111740112, 0.7925388813018799, 0.03267665579915047, -0.1665426343679428, 0.1292976588010788, -0.3111623525619507, 0.2757166922092438, 0.5080379843711853, 0.36176303029060364, 1.0827656984329224, 0.7100291848182678, -0.42178454995155334, -0...
def get _ document ( sha1 ) : objects = models. document. objects. filter ( file _ _ sha1 = sha1 ). order _ by ('- date _ modified') if not objects : raise http404 return objects [ 0 ]
[ 0.221157968044281, -0.33063456416130066, 0.6150370240211487, 0.30004453659057617, 0.2989432215690613, 0.01248363871127367, 0.22017671167850494, -0.3136509656906128, -0.07457560300827026, 0.5308856964111328, 1.137609839439392, -0.467397004365921, -0.2835959494113922, -0.26638153195381165, ...
def _ _ init _ _ ( self, domain, auth _ token = none, * * kwargs ) : gdata. client. gdclient. _ _ init _ _ ( self, auth _ token = auth _ token, * * kwargs ) self. domain = domain
[ 0.14549624919891357, 0.4551090896129608, 0.4334491789340973, -0.5095869898796082, 0.40712276101112366, 0.7612391114234924, -0.337851345539093, -0.7689340114593506, -0.5866461396217346, -1.2983943223953247, -0.30945730209350586, 1.8463072776794434, 0.12424816191196442, 0.021200144663453102,...
def ce _ eval _ tf _ examples _ fn ( serialized _ tf _ examples ) : xf _ feature _ spec = tf _ transform _ output. transformed _ feature _ spec ( ) label _ spec = [ f for f in xf _ feature _ spec if f. startswith ('label _') ] eval _ spec = [ f for f in xf _ feature _ spec if not f. endswith ('_ xf') ] transformed _ fe...
[ -0.4433850646018982, -0.9329208135604858, 0.3568686246871948, -0.49605700373649597, -0.003545493585988879, -0.49134430289268494, 0.5179490447044373, 0.7973838448524475, -0.6399358510971069, 0.38714516162872314, -0.5600556135177612, -0.37548205256462097, 1.0360267162322998, -0.9903556704521...
def about ( ) : return render _ template ('about. html ', name = " mary jane " )
[ 1.0084723234176636, 0.42426350712776184, 0.33886590600013733, 0.2894679605960846, -0.6570500135421753, 0.6520472764968872, -0.0006911650998517871, 1.0320066213607788, -0.7582167983055115, 0.4670126438140869, -0.142815500497818, -0.41250601410865784, -0.18530873954296112, 0.7528278231620789...
def assert _ allclose ( self, * args, * * kwargs ) : return assert _ allclose ( * args, * * kwargs )
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async def close ( self ) - > none : if not self. closed : if self. pending _ count = = 0 : logger. info ( " closing client... " ) else : logger. warning ( " closing client while % s messages are still pending... ", self. pending _ count ) try : if self. _ transport : await self. _ transport. disconnect ( ) await self. ...
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def agent _ build _ get _ all ( context ) : return impl. agent _ build _ get _ all ( context )
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def make _ fhir _ document ( self ) : doc, finalized = self. _ make _ biobank _ order _ request ( ) return doc, finalized
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def split _ multinovel ( self ) : subbooks = [ ] subbooknr = 0 booktext = re. sub ( r " \ n ", " < nl > ", self. originaltext ) # replace newlines with something else in order for the pattern matching to work patterns = re. findall ( r " \ [ start _ ( \ d + ) _ ( \ d + ) _ ( [ ^ \ ] ] + ) \ ] ( ( (?! \ [ end ). ) * ) \...
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def make _ boolean ( vars, min _ max, dont _ care = none, * * kwargs ) : ones = [ ] while ( true ) : if'minterms'in kwargs : if kwargs ['minterms'] is true : ones = min _ max if ones [ - 1 ] > = pow ( 2, len ( vars ) ) : raise exception ( " error : invalid minterms " ) break elif'maxterms'in kwargs : if kwargs ['maxter...
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def convert _ response _ as _ text ( tokens ) : return " ". join ( change _ perspective ( tokens ) )
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def get _ filters ( ) : print ('hello! let \'s explore some us bikeshare data!') # get user input for city ( chicago, new york city, washington ). hint : use a while loop to handle invalid inputs city = input ( " enter name of the city to analyze ( chicago, new york city or washington ) : " ). lower ( ) # check if the ...
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def printgrid ( self ) : for i in self. cells : print ( i )
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def _ _ init _ _ ( self, created _ date = none, email _ body _ template _ external = none, email _ body _ template _ id = none, email _ subject _ template _ id = none, id = none, name = none, sms _ template _ id = none, updated _ date = none ) : self. _ created _ date = none self. _ email _ body _ template _ external =...
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def return _ youngs _ modulus ( simname ) : df1, df2 = extract. extract _ def ( simname ) df3, df4 = extract. extract _ def ('cg _ 256c _ 128dp _ v20 _ deform _ lj _ kg _ uk _ 2 _ x') df1 = df1. values df2 = df2. values df3 = df3. values deformation _ along = np. argmax ( np. array ( [ np. std ( df1 [ :, 1 ] ), np. std...
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def add _ nodedep _ two _ knots ( curr _ doc : currentdoc, el, el _ type ) : left _ node, right _ node, ( x _ middle, y _ middle ), length, angle = \ vis _ el. get _ 1st2nd _ center _ length _ angle ( el. x1 _, el. y1 _, el. x2 _, el. y2 _ ) knot1 = get _ knot _ name _ from _ nodeindep _ list ( curr _ doc. data _ sourc...
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def test _ random _ uniform _ and _ belongs ( self ) : point = self. beta. random _ point ( ) result = self. beta. belongs ( point ) expected = true self. assertallclose ( expected, result )
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def reset _ struct ( self ) : self. struct _ dict = self. struct. as _ dict ( ) return self. struct
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async def test _ text _ value _ outside _ bounds ( hass ) : with pytest. raises ( valueerror ) : mocktextentity ( " hello world ", native _ min = 2, native _ max = 5, pattern = r " [ a - z ] " ). state with pytest. raises ( valueerror ) : mocktextentity ( " hello world ", native _ min = 15, native _ max = 20, pattern =...
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def is _ a ( self, * args ) : return self. field _ type in args
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def _ _ init _ _ ( self, s ='' ) : self. tokens = [ ] if s is not none : for word in s. replace ('( ','('). replace (') ',')'). split ( ) : if word. upper ( ) in self. keywords : self. tokens. append ( word ) elif len ( self. tokens ) is not 0 : self. tokens [ - 1 ] + = " " + word
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def add _ new ( s, bugid, pattern, comment = none ) : s. add ( bugid, pattern, comment ) s. bugs [ - 1 ]. new = true
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def _ _ init _ _ ( _ _ self _ _, resource _ name : str, args : registryenterpriseinstanceargs, opts : optional [ pulumi. resourceoptions ] = none ) :...
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def locate _ poles ( ) : n1 = np. array ( [ 1, 1 ] ) n2 = np. array ( [ 1, 2 ] ) d1 = np. array ( [ 1, 2j ] ) d2 = np. array ( [ 1, - 2j ] ) d3 = np. array ( [ 1, 3 ] ) numerator _ g, denominator _ g = np. array ( [ 6, 0, 1 ] ), np. array ( [ 1, 3, 3, 1 ] ) sys _ g = ct. tf ( numerator _ g, denominator _ g ) zeros _ g ...
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def get _ option _ access ( self, section _ name, option _ name ) : section _ restrictions = self. restrictions. get ( section _ name, none ) if section _ restrictions is none : return self. default _ access # return access level with fallbacks return section _ restrictions. get ( option _ name, section _ restrictions....
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def setup ( self ) : self. addcleanup ( clean _ up ) if process _ exists ( " stratisd " ) is none : exec _ command ( [ " systemctl ", " start ", " stratisd " ] ) time. sleep ( 20 ) clean _ up ( ) time. sleep ( 1 ) exec _ command ( [ " udevadm ", " settle " ] )
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def summoners _ by _ name ( self, names, region ) : # create format string for names and format the names into it name _ str ='('+'\'{ } \'' + ( ', \'{ } \'' * ( len ( names ) - 1 ) ) +')'name _ str = name _ str. format ( * names ) rows = self. stat _ db. select _ values ('summoners ', ['*'], ['standardname in { } '. f...
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def load _ json _ file ( filepath ) : try : with open ( filepath,'r') as jsonfile : return json. load ( jsonfile ) except : logging. error ('could not load. json file % s'% filepath ) return none
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def get _ x _ and _ y _ degrees ( network ) : edges = network. edges ( ) n _ edges = len ( edges ) x _ degrees = np. zeros ( 2 * n _ edges ) y _ degrees = np. zeros ( 2 * n _ edges ) for i, ( u, v ) in enumerate ( edges ) : x _ degrees [ i ] = network. degree [ u ] y _ degrees [ i ] = network. degree [ v ] for i in ran...
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def get _ endpoints ( self ) : return self. api _ endpoints _ v2
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def handle ( cls, * args, * * kwargs ) : names _ filename = environ. get ( names _ env _ var, names _ def ) nodes _ filename = environ. get ( nodes _ env _ var, nodes _ def ) n = 10 * 1000 if not kwargs ['no _ names'] : add _ names ( names _ filename ) if not kwargs ['no _ nodes'] : add _ nodes ( nodes _ filename ) if ...
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def load ( self, yaml _ dir ) : piece _ path = os. path. join ( yaml _ dir,'piece. yaml') f = open ( piece _ path,'r') text = f. read ( ) f. close ( ) yaml _ data = yaml. load ( text ) self. title = yaml _ data ['title'] self. filename = yaml _ data ['filename'] self. composer = yaml _ data ['composer'] self. emsis _ n...
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