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def run _ sts _ benchmark ( session ) : emba, embb, scores = session. run ( [ sts _ encode1, sts _ encode2, sim _ scores ], feed _ dict = { sts _ input1 : text _ a, sts _ input2 : text _ b } ) return scores
[ 0.06343986839056015, 0.23078197240829468, 0.3733988404273987, 0.34615734219551086, 0.4570600986480713, -0.26697176694869995, -0.04651913791894913, -0.4908774793148041, -0.32687658071517944, 0.35511767864227295, -0.7389273047447205, 0.7602975368499756, -0.6646780967712402, 0.404534012079238...
def predict _ data ( args ) : predict _ file = args. predict _ file metadata _ file = args. metadata _ file checkpoint _ dir = args. checkpoint _ dir vocab = args. vocab fun = args. fun # do some checks try : assert os. path. exists ( predict _ file ), " eval _ file must exist " assert os. path. exists ( metadata _ fil...
[ -0.3863676190376282, -0.09181243926286697, 0.6263023614883423, 0.40973910689353943, 1.5207757949829102, 0.029877634719014168, -0.3469972014427185, 0.9546226263046265, -1.0005320310592651, 0.09267935901880264, 0.18737535178661346, 0.5730463266372681, 0.40929746627807617, 0.04439442604780197...
def kl ( self, dists, priors = none ) : dist _ params = dists ['sequential'] priors = [ none for _ in range ( len ( dist _ params ) ) ] if priors is none else priors assert len ( priors ) = = len ( dist _ params ) kl = none for param, prior, reparam in zip ( dist _ params, priors, self. reparameterizers ) : reparam _ o...
[ 0.4431041479110718, 0.18510353565216064, 0.4403449594974518, -0.05339707061648369, -0.22002027928829193, -0.09566391259431839, -0.07189858704805374, 0.6518567204475403, 0.6080493927001953, 0.5460541844367981, 0.22056658565998077, -0.11114374548196793, 0.20482134819030762, 0.234731495380401...
def get _ entity ( cls, method _ name ) : if not method _ name : return cls method = cls. find _ single _ method ( method _ name ) return method
[ -0.24498867988586426, 0.09847135096788406, 0.33735376596450806, 0.2936853766441345, 1.091193437576294, -0.585038959980011, 0.6395521759986877, -0.19543372094631195, 0.3840509355068207, 0.12319772690534592, 0.9141331315040588, 0.23231036961078644, 0.03267684951424599, 0.9456016421318054, ...
def test _ _ _ bytes _ _ ( image _ config : imageconfig, image _ config _ signed : imageconfig, json _ bytes : bytes, json _ bytes _ signed : bytes, ) : assert bytes ( image _ config ) = = json _ bytes assert bytes ( image _ config _ signed ) = = json _ bytes _ signed
[ -0.3063245117664337, -0.32473841309547424, 0.5154020190238953, -0.2257777750492096, 0.38834869861602783, 0.20460262894630432, -0.22399750351905823, -1.0445780754089355, 1.0289477109909058, -0.2343982458114624, -1.1968926191329956, 0.09982018172740936, 0.6040480732917786, 0.5424153804779053...
def fetch _ data ( config ) : start _ time = time ( ) sources = [ os. path. join ( os. getcwd ( ), config ['paths'] ['output'], d ['name'],'data. csv') for d in config ['sources'] ] # generate a data frame with all indicators df = pd. concat ( ( pd. read _ csv ( f ) for f in sources ), sort = false, ignore _ index = tr...
[ 0.025635408237576485, -0.010782896541059017, 0.48815640807151794, -0.6496663093566895, -0.42013734579086304, 0.3836067020893097, -0.07256466895341873, -0.1432628333568573, -0.47004690766334534, 0.22276665270328522, 0.5453387498855591, 0.5628066658973694, 0.5810571312904358, 0.1274146735668...
def build _ row ( table, cols ) : class datarow : " " " generic data row class, specialized by surrounding function " " " def _ _ init _ _ ( self, data ) : " " " uses data and column names to inject attributes " " " assert len ( data ) = = len ( self. cols ) for colname, dat in zip ( self. cols, data ) : setattr ( self...
[ -0.13393601775169373, 0.45094025135040283, 0.7614260315895081, -0.13493287563323975, -0.6827463507652283, -0.03977658599615097, -0.7994150519371033, -0.11242646723985672, -0.4025655686855316, -1.038427710533142, 0.18454290926456451, 0.14565494656562805, 0.9638347625732422, 0.29448825120925...
def getarchivedgame ( self, id ) : return self. getgame ( id, self. game _ type _ archive )
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def load _ features ( names, data = none, side = none, bool _ val = false, exercise = " shoulderpress " ) : output1 = [ ] # list of upper arm torso angles output2 = [ ] # list of forearm upper arm angles for filename in names : if not bool _ val : ps = load _ ps ( f " poses _ compressed / { exercise } / " + filename ) ...
[ -0.5091238021850586, -0.28249695897102356, 1.0775766372680664, 0.18890725076198578, -0.09688294678926468, -0.18747226893901825, 0.2145826816558838, 0.42015573382377625, 0.18313108384609222, 0.1848529726266861, -0.68160080909729, 0.15350060164928436, -0.4131737947463989, 0.07005246728658676...
def process _ rtetripid ( rowlist, bustrplen, fulldate ) : " " " this method has been further improved as some times different routes are assigned to same trajectories " " " predict = { } tripdict = { } act _ tripdict = { } stime = none ; etime = none try : for row in rowlist : [ acttime, vel, rte, str, end, trpn ] = r...
[ -0.5979395508766174, -0.42223021388053894, 0.6985629796981812, -0.8483754992485046, -0.47248396277427673, -0.0739285796880722, -0.32412365078926086, 0.10928699374198914, -0.27797451615333557, 0.7730704545974731, -0.454942524433136, -0.401007741689682, 0.316601425409317, 0.7105131149291992,...
def metrics ( self, y _ predicted, y _ true, metrics ) : results = { } for metric in metrics : metric _ str = metric. _ _ name _ _ metric _ score = metric ( ). score ( y _ predicted, y _ true ) print ( " % s : % f " % ( metric _ str, metric _ score ) ) results [ metric _ str ] = metric _ score return results
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def get _ db _ type ( self ) : return self. db _ type
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def main ( ) : open ( log _ file,'w'). close ( ) logging. basicconfig ( filename = log _ file, level = logging. info, format ='% ( asctime ) s % ( message ) s') logging. info ( " stockwatcher - start program " ) stock _ list = [ " msft ", " goog ", " aapl ", " amzn " ] for i in range ( len ( stock _ list ) ) : stock = ...
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def _ flatten _ params ( params ) : def get _ string ( value ) : if isinstance ( value, six. text _ type ) : return value. encode ('utf8') elif isinstance ( value, six. binary _ type ) : return value else : return six. ensure _ binary ( str ( value ) ) param _ list = [ ] for key, value in six. iteritems ( params ) : ke...
[ -1.1031924486160278, -0.42601555585861206, 0.5131620764732361, -0.17850598692893982, 0.01820138469338417, -0.09431160241365433, -0.3886714279651642, 0.02133355848491192, -0.4298538863658905, 1.175126075744629, -0.10300812870264053, 0.05917852744460106, -0.839722752571106, 0.864046156406402...
def _ solve ( self ) : raise notimplementederror ( " this is just an abstract interface " )
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def write _ to _ file ( self, filename ) : assert ". json " in filename import json hstrings = { } for band, exps in self. headers. items ( ) : hstrings [ band ] = { } for expid, hdr in exps. items ( ) : hstrings [ band ] [ expid ] = hdr. tostring ( ) with open ( filename, " w " ) as f : json. dump ( hstrings, f ) if l...
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def get _ ranked _ local _ names ( self, top _ k = none ) : if self. is _ local _ sparse : return _ sparse _ order _ imp ( self. _ local _ importance _ values, values _ type = _ features, features = self. _ features, top _ k = top _ k ) else : if self. _ features is not none : self. _ ranked _ local _ names = _ sort _ ...
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def get _ rows ( t _ id ) : data = pd. read _ excel ( " sample. xlsx " ) for r in range ( data. shape [ 0 ] ) : if data. at [ r, " territory number " ] = = t _ id : yield { " address " : data. at [ r, " address " ], " donotcall " : data. at [ r, " status " ] = = " do not call ", " coords " : [ data. at [ r, " latitude ...
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def test _ mixed _ rebalance ( self ) : super ( rebalancetests, self ). test _ eperf _ mixed ( )
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def get _ name ( self ) : return " test _ func _ { } _ { } _ { } ". format ( self. func, self. farg, self. invoke )
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def _ isparamsequal ( self, params0, params1 ) : if params0 = = params1 : return true elif params0 is none or params1 is none : return false try : dict0 = parse _ qs ( params0 ) dict1 = parse _ qs ( params1 ) for param in dict0 : if param not in dict0. keys ( ) : return false val0 = dict1 [ param ] [ 0 ] val1 = dict0 [...
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def init _ data ( self ) : return self. _ convert _ to _ list ( self. _ init _ data )
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def check _ timeout ( self ) - > bool : if self. _ last _ change : return self. auto _ off _ time < time. time ( ) - self. _ last _ change else : return false
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def expand _ pattern ( patt ) : # patt = patt. replace ('[ ] ', r'\') for alias in regex _ aliases : patt = expand _ charclass ( patt, alias ) return patt
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def _ update _ probability ( self, probability ) : self. _ log _ odds + = math. log ( probability / ( 1 - probability ) )
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def rec _ jacobi ( n, a, b ) : from scipy. special import gamma nu = ( b - a ) / float ( a + b + 2 ) mu = 2 * * ( a + b + 1 ) * gamma ( a + 1 ) * gamma ( b + 1 ) / gamma ( a + b + 2 ) if n = = 1 : alpha = nu beta = mu else : n = np. arange ( 1. 0, n ) nab = 2 * n + a + b alpha = np. hstack ( ( nu, ( b * * 2 - a * * 2 )...
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def verify _ entry _ roundtrip ( crud _ client, entryx, result _ acc ) : entryxsv = crud _ client. create _ entry ( entryx ) result _ acc. add _ report _ line ( " posted entry : " + str ( entryxsv ) ) if entryxsv is none : result _ acc. add _ report _ line ( " create entry x failed " ) result _ acc. set _ success ( fal...
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async def to _ core _ openapi _ request ( request : web. request ) - > openapirequest : body : union [ bytes, str, none ] = none if request. body _ exists and request. can _ read _ body : raw _ body = await request. read ( ) # if it possible, convert bytes to string try : body = raw _ body. decode ( " utf - 8 " ) # if ...
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def render _ to _ reportlab _ canvas ( rl _ canvas, papersize _ tuple, manager ) : rl _ canvas. setpagesize ( papersize _ tuple ) manager. render ( datatypes. rectangle ( 0, 0, * papersize _ tuple ), dict ( output = rl _ canvas ) )
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def fit _ online ( self, x, y ) : if len ( x. shape ) = = 1 : x = x. reshape ( 1, - 1 ) self. y _ train = np. concatenate ( ( self. y _ train, y ), axis = 0 ) if self. x _ train is none : self. fit ( x, y ) else : initial _ size = self. x _ train. shape [ 0 ] self. x _ train = np. concatenate ( ( self. x _ train, x ), ...
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def read ( self, file _ name ) : return self. zip. read ( file _ name )
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def run ( self ) : def callback ( message ) : if not message is none : # convert bytes to string and slice string # http : / / stackoverflow. com / questions / 663171 / is - there - a - way - to - substring - a - string - in - python json _ string = str ( message. data ) [ 3 : - 2 ] json _ string = json _ string. repla...
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def gethtml ( year ) : return requests. get ( url. replace ('% year % ', str ( year ) ) ). text. encode ('utf - 8')
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def read _ phrases ( self ) : base _ dir = os. path. abspath ( os. getcwd ( ) ) file _ path = os. path. join ( base _ dir, self. phrases _ file ) with open ( file _ path, " r ", encoding = " utf - 8 " ) as f : self. logger. info ( f " { self. phrases _ file } is read " ) return json. load ( f )
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def out _ waiting ( self ) : if not self. is _ open : raise serialutil. portnotopenerror return self. command _ queue. qsize ( )
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def load _ config _ key ( ) : global api _ token try : api _ token = os. environ ['fulbito _ cli _ api _ token'] except keyerror : home = os. path. expanduser ( " ~ " ) config = os. path. join ( home, ". fulbito. ini " ) if not os. path. exists ( config ) : with open ( config, " w " ) as cfile : key = get _ input _ key...
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async def xp ( self, ctx, *, member = none, xpamount : int = none ) : author = ctx. message. author server = ctx. message. server channel = ctx. message. channel usage ='usage : ` $ xp [ role / member ] [ amount ] `'isrole = false if member = = none : await self. bot. send _ message ( ctx. message. channel, usage ) ret...
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def run _ test _ login _ required ( self ) : response = client ( ). get ( self. url ) self. assertequal ( response. status _ code, 302 )
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def match _ semantic _ types ( self, mapping _ term _ dict ) : mapping _ result = [ ] position _ list = [ ] # set the semantic types list for concept _ name, info in mapping _ term _ dict. items ( ) : source _ set = list ( set ( info [ 2 ] ) ) # check if the term is needed and matched semantic _ type _ needed = self. c...
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def get _ incomplete _ variables ( ) : pass
[ -0.3510805666446686, -1.356109619140625, 0.38948363065719604, 0.738501250743866, -0.13082687556743622, -0.24838176369667053, 0.8672938346862793, -0.8524390459060669, -0.7162516713142395, -0.3750573992729187, -0.9617655873298645, 0.3319973945617676, -0.9991226196289062, 0.3437387943267822, ...
async def setxp ( self, ctx, *, member = none, xpamount : int = none ) : author = ctx. message. author server = ctx. message. server channel = ctx. message. channel isadmin = author. permissions _ in ( channel ). administrator # only allow admins to change server stats if not isadmin : await self. bot. send _ message (...
[ 0.3122374415397644, 0.20679700374603271, 0.7833870649337769, 0.18409673869609833, -0.3334725499153137, 0.17678575217723846, -0.6451855897903442, -0.37695297598838806, 0.6131349205970764, 0.229921355843544, -0.8218862414360046, 1.0445146560668945, -1.3179173469543457, 0.30852019786834717, ...
def test _ get _ success _ url ( self ) : self. assertequal ( profilecreateview ( ). get _ success _ url ( ), reverse ('tasks : home') )
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def _ getdimsfromfixedshape ( shape : schema _ pb2. fixedshape ) - > list [ int ] : return [ dim. size for dim in shape. dim ]
[ 0.16185113787651062, 0.2873166799545288, 0.20364020764827728, 0.5015813708305359, 0.4565559923648834, 0.2813037037849426, 0.23407399654388428, 0.0004215879016555846, 0.11650718748569489, -0.21813474595546722, -1.281840205192566, -0.2576735019683838, 0.25347790122032166, 0.9969745874404907,...
def go _ home ( ) : return render _ template ( " homepage. html " )
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def save ( self ) : vals = [ ] sets = [ ] for f in self. columns : vals. append ( getattr ( self, f ) ) sets. append ( " % s = % s " ) if self. id > 0 : sql = " update % s set ", ", ". join ( sets ), " where id = % s " % ( self. table, self. id ) else : # sql = " insert into % s ( ", ", ". join ( self. columns ), " ) v...
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def _ _ init _ _ ( self, connect : callable [ [ ], leapprotocol ] ) : self. devices : dict [ str, dict ] = { } self. buttons : dict [ str, dict ] = { } self. lip _ devices : dict [ int, dict ] = { } self. scenes : dict [ str, dict ] = { } self. occupancy _ groups : dict [ str, dict ] = { } self. areas : dict [ str, dic...
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def user _ stats ( df, city ) : print ('\ ncalculating user stats... \ n') start _ time = time. time ( ) # to do : display counts of user types cus, sub = df. groupby ( ['user type'] ). size ( ) print ('users counts : customer, subscriber ', cus, sub ) # to do : display counts of gender if city. lower ( )! ='washington...
[ 0.22940212488174438, 1.0945020914077759, 0.691760778427124, -0.30279314517974854, -0.7635914087295532, 0.4460669457912445, 1.3688464164733887, -1.0005831718444824, -0.4269617795944214, -0.6048181056976318, 0.053912512958049774, 0.8632451891899109, 0.5113930106163025, 0.20419706404209137, ...
def _ _ init _ _ ( self, master = none ) : super ( ). _ _ init _ _ ( master ) self. createwidgets ( ) # configure the frame's resize behaviour master. columnconfigure ( 0, weight = 1 ) master. rowconfigure ( 0, weight = 1 ) self. grid ( sticky = ( n, s, e, w ) ) # configure resize behaviour for the frame's children sel...
[ 0.3926596939563751, 1.1239819526672363, 0.7395939230918884, 0.7005478143692017, -0.6752827167510986, -0.9461451768875122, 0.3953953981399536, 0.6212762594223022, 0.5326665639877319, -0.3756260871887207, -0.814739465713501, -0.8480076193809509, -0.26401349902153015, 1.9952625036239624, 0....
def get _ ordered _ ckpts _ by _ dbname ( sess, imdb _ name, net _ name, save _ epoch = true ) : # find previous snapshots if there is any to restore from ckpts _ dir = cfg. get _ ckpts _ dir ( net _ name, imdb _ name ) if save _ epoch : save _ interval ='epoch'else : save _ interval ='iter'sfiles = os. path. join ( ck...
[ 0.3919558525085449, 0.8984711170196533, 0.7927209734916687, 0.676530122756958, 0.19294986128807068, -0.46984344720840454, 0.017231890931725502, 0.09364297240972519, -0.12118875235319138, 1.3243008852005005, -0.15761876106262207, -0.3250987231731415, 0.09337443113327026, 0.12492096424102783...
def hand _ positions ( hour, minute, second ) : r _ 60 = sym. rational ( 60, 1 ) return ( 360 * ( hour + minute / r _ 60 + second / ( r _ 60 * r _ 60 ) ) / 12, 360 * ( minute + second / r _ 60 ) / r _ 60, 360 * second / r _ 60 )
[ -0.13282857835292816, -0.39247360825538635, 0.5790110230445862, -0.21917377412319183, 0.32407259941101074, 0.4125480651855469, -0.8310692310333252, -0.3620092272758484, -0.6161960959434509, 0.023098958656191826, -0.6914216876029968, -0.911104679107666, -0.11780194193124771, -0.000170447616...
def _ update _ ic ( self ) : return self
[ -0.44189196825027466, -1.4781497716903687, 0.22851701080799103, -0.019411571323871613, -1.3872684240341187, 0.22931315004825592, 0.6663703322410583, -0.44278544187545776, 0.09859726577997208, 0.2917364239692688, 0.365136981010437, -0.30902430415153503, -0.8030202984809875, -1.4292975664138...
def get _ angle _ max ( filename = " aaf _ map. yaml ", suppress _ message = false ) : tic = time. time ( ) # turn off warnings pd. options. mode. chained _ assignment = none # default ='warn'context = get _ context ( filename, suppress _ message = true ) adjacent = get _ adjacent ( filename, suppress _ message = true ...
[ -0.1722729206085205, -0.2287372201681137, 0.7172192335128784, -0.2855382561683655, -0.38268083333969116, -0.24322150647640228, 0.05401167273521423, 0.4261639714241028, -0.799886167049408, 1.1059434413909912, 0.15656112134456635, 0.2506202757358551, 0.17685773968696594, -0.04058044031262398...
def test _ basic _ tuple ( ) : ver = _ version. version ( " 1. 2. 3 ", false, 4 ) assert ver = = ( 1, 2, 3 ) ver = _ version. version ( " 1. 2. 3 ", true, 4 ) assert ver = = ( 1, 2, 3 ) ver = _ version. version ( " 1. 2 ", true, 4 ) assert ver = = ( 1, 2, 0 )
[ -1.2175710201263428, -0.019271235913038254, 0.3864094614982605, 0.10908786207437515, 0.0764084979891777, 0.7355772852897644, -0.117537721991539, -0.04289691150188446, -0.8658173084259033, 0.5540088415145874, -1.5536335706710815, -1.8242416381835938, -0.306001216173172, -0.926338255405426, ...
def _ _ messages ( self, dump ) : return sum ( [ elem [ 1 ] for elem in dump ], [ ] )
[ -1.6957539319992065, 0.13878725469112396, 0.38167884945869446, -1.2067232131958008, 0.5095282196998596, -0.3304700553417206, 0.21266649663448334, -0.37041717767715454, 0.7373840808868408, 0.1289004236459732, -1.222733497619629, -0.15758955478668213, -0.12135165184736252, 0.7873758673667908...
async def delete ( self, path, confirm _ delete = 0, * * kwargs ) : if path. is _ root : if not confirm _ delete = = 1 : raise exceptions. deleteerror ('confirm _ delete = 1 is required for deleting root provider folder ', code = 400 ) if path. is _ file : query _ parameters = {'bucket': self. bucket. name,'key': path....
[ -0.4190029799938202, 0.6127755641937256, 0.8133927583694458, 1.5833598375320435, 0.2959730625152588, 0.026547055691480637, 0.2960813343524933, -0.12672464549541473, 0.3612881600856781, 0.14623373746871948, 0.10854049026966095, 0.39105212688446045, -0.7390830516815186, 0.37956783175468445, ...
def test _ delete _ artifact _ dep ( self ) : pass
[ 0.6319324374198914, -0.452157586812973, 0.06252826750278473, 0.6002988815307617, 0.07202278822660446, 0.6118301749229431, 2.1057446002960205, 0.048558998852968216, 0.8643457889556885, -0.585918664932251, -0.2722623646259308, -0.08315038681030273, 0.32132044434547424, -0.17584532499313354, ...
def least _ squares _ sgd ( y, tx, initial _ w, max _ iters, gamma ) : n = int ( y. shape [ 0 ] ) w0 = initial _ w for n _ iters in range ( max _ iters - 1 ) : i = np. random. randint ( 0, n ) w0 = least _ squares _ gd ( y [ i : i + 1 ], tx [ i : i + 1 ], w0, 1, gamma, computeloss = false ) i = np. random. randint ( 0,...
[ 0.23947180807590485, -0.2011854648590088, 0.7418776750564575, -0.6773779988288879, -0.9457592964172363, -0.11870044469833374, 0.3076382577419281, -0.6159194111824036, 0.1431015580892563, 0.928836464881897, 0.7865042090415955, 0.7202005982398987, -0.10047324001789093, 1.2116724252700806, ...
def init _ deep _ collection ( dim, n, num _ boxes _ per _ step, num _ cells, rng, betas = none ) : lhs = [ [ ] ] deep _ ps _ collection = [ ] deep _ cs _ collection = [ ] for i in range ( num _ boxes _ per _ step ) : l, h = choose _ cell ( rng, num _ cells = num _ cells, d = dim ) rng, _ = random. split ( rng, 2 ) lhs...
[ -1.0996454954147339, 0.5534846186637878, 0.6818844079971313, 0.5805438756942749, 0.09497548639774323, 0.42201611399650574, 0.0635555237531662, -0.2781887352466583, -0.9678076505661011, -0.22528521716594696, -0.8668797016143799, 0.1751893311738968, 0.11837021261453629, 0.8954175710678101, ...
def install _ requires ( dev = false ) : try : cfg = configparser ( ) cfg. read ('pipfile') section _ name = " % spackages " % ( " dev - " if dev else " " ) requires = [ _ compact _ ver ( name, cfg. get ( section _ name, name ) ) for name in cfg. options ( section _ name ) ] if not dev : with open ( " requirements. txt...
[ -0.5393003821372986, -0.549008846282959, 0.5078845024108887, 0.9285387396812439, 0.0004857410385739058, 0.6750035285949707, -0.22346088290214539, 0.28092238306999207, -0.07024364173412323, 1.0721323490142822, -0.40489858388900757, -1.266037940979004, -0.06756722927093506, 1.467869281768798...
def embed ( self, * * kwargs ) : all _ embeddings _ out = [ ] for k, embedding in self. embeddings. items ( ) : x = kwargs. get ( k, none ) embeddings _ out = embedding. encode ( x ) all _ embeddings _ out. append ( embeddings _ out ) word _ embeddings = tf. concat ( values = all _ embeddings _ out, axis = 2 ) return t...
[ -0.5035566091537476, 0.963430643081665, 0.5649570822715759, 0.42203500866889954, -0.32503706216812134, 0.5897395610809326, -0.3782307505607605, 0.0858331248164177, 0.021082481369376183, 0.37716054916381836, 0.15368516743183136, -0.3244316577911377, -0.5135179162025452, -0.03006238490343094...
def value _ at ( self, index ) : if index > = self. size : raise indexerror ( " list index out of range " ) current = self. head for num in range ( index ) : current = current. next return current. data
[ -0.6443053483963013, 0.4772911071777344, 0.42824554443359375, -0.41145655512809753, 0.3223239779472351, 0.2626968324184418, -0.13800999522209167, -1.090717077255249, 0.46594977378845215, -0.8387021422386169, -0.5192246437072754, 0.9167982935905457, -0.14115343987941742, 0.04038415849208832...
def cmp _ content _ response ( self, datafile, system _ name, response, expected _ api _ response, expected _ response _ type, comparison _ mode ) : if expected _ response _ type in response. headers ['content - type'] : extracted _ response = response. content if comparison _ mode : path _ list = [ comparison _ mode ]...
[ -0.08024905622005463, -1.4327718019485474, 0.7845022678375244, -0.4032227098941803, 0.45545896887779236, 0.4597349762916565, 0.09452804177999496, -0.39885473251342773, 0.14853189885616302, -0.014923195354640484, 0.0037412780802696943, -0.5284453630447388, -0.7315269112586975, -0.3312900066...
def plot _ progress ( train _ progress, devel _ progress, out _ filename = none ) : fig, ax1 = plt. subplots ( figsize = ( 8, 6 ), dpi = 100 ) ax1. plot ( train _ progress ['steps'], train _ progress ['ccr'],'b ', label ='training set ccr') ax1. plot ( devel _ progress ['steps'], devel _ progress ['ccr'],'r ', label ='...
[ 0.40469545125961304, 0.42477089166641235, 0.9922765493392944, -0.274646520614624, -0.7975732088088989, 0.5122537016868591, 0.6061959266662598, 0.2423635721206665, -0.8492940664291382, -0.21209317445755005, -0.0243317149579525, 0.16492120921611786, 0.4503665268421173, 0.42104098200798035, ...
def get _ subset ( container, subset _ bounds ) : subset = [ ] for bound in subset _ bounds : subset + = container [ bound [ 0 ] : bound [ 1 ] ] return subset
[ 0.41780194640159607, -1.1147117614746094, 0.4123954772949219, 1.0229179859161377, 0.19424161314964294, 0.221185564994812, -0.7107508778572083, -0.6684678196907043, -0.5291829109191895, 0.1310472935438156, -0.2998286783695221, 1.113372564315796, 0.5599600076675415, -1.0323007106781006, 0....
def convert _ opi _ gate2node ( verilog _ path, opi _ path, out _ path ) : gate2node, node2gate = convert _ gate _ node ( verilog _ path ) infile _ op = open ( opi _ path ) outfile = open ( out _ path, " w " ) for line in infile _ op : words = line. strip ( ). split ( ) gate = words [ 3 ]. split ( " / " ) [ 0 ] node = ...
[ 0.21895676851272583, -1.0340815782546997, 0.7235908508300781, -0.12037727236747742, -0.09013334661722183, 0.3730636239051819, 0.6037442088127136, 0.1458480954170227, -0.6317710280418396, 1.538896918296814, -0.35798099637031555, 0.8141703009605408, -0.262717604637146, -0.6624264121055603, ...
def delete _ inbox _ message ( ser, index ) : ser. write ('at + cmgd = % s \ r'% index ) res = wait _ for _ strs ( ser, ['ok ','error'] ) if'error'in res : return false return true
[ -0.7622430920600891, -0.03871455416083336, 0.4782809913158417, -0.2953495383262634, -0.02864450216293335, 0.5637186169624329, -0.4764997661113739, -0.9906097650527954, 0.1564997434616089, -0.3758145570755005, -0.08362580090761185, 0.43913179636001587, -1.6907416582107544, -0.67361027002334...
def read _ train _ dir ( train _ dir ) : train _ dir _ imgs = list ( ) train _ dir _ labels = list ( ) img _ dirs = [ " grass ", " ocean ", " redcarpet ", " road ", " wheatfield " ] for fil in os. listdir ( train _ dir ) : if fil in img _ dirs : images, labels = find _ images ( train _ dir + " / " + fil, fil ) train _ ...
[ -1.726339340209961, -0.1253965198993683, 0.5772255659103394, -0.3820854127407074, 0.072822205722332, 0.013095765374600887, 0.7712532877922058, 0.08146589249372482, -0.4903533160686493, 0.6323638558387756, -0.047283876687288284, 0.10058743506669998, 0.6987830400466919, 0.6023710370063782, ...
def export _ spec ( ns _ builder, new _ data _ types ) : if len ( new _ data _ types ) = = 0 : warnings. warn ( " no data types specified. exiting. " ) return if ns _ builder. name is none : raise runtimeerror ( " namespace name is required to export specs " ) project _ dir = os. path. abspath ( os. path. join ( os. pa...
[ 0.5120155215263367, 0.2315177470445633, 0.7786086201667786, 0.6089911460876465, -0.08197073638439178, 0.41507187485694885, -0.10689006745815277, -0.19528906047344208, 0.16734081506729126, 0.5074307918548584, -0.10582976043224335, 0.8898516297340393, 0.26094740629196167, 0.6252564191818237,...
def test _ create _ user ( self ) : url = reverse ('user - create') data = {'username':'chet ','password':'chet ','email':'chet @ chethall. com ','format':'json'} response = self. client. post ( url, data, format ='json') self. assertequal ( response. status _ code, status. http _ 201 _ created ) self. assertnotequal (...
[ 0.453006386756897, 0.6043896079063416, 0.5210567712783813, 0.12122415006160736, 0.7952777743339539, 0.900658130645752, -0.7525551915168762, -0.49539920687675476, -0.461848646402359, -1.024715781211853, -0.795317530632019, -0.3811354637145996, 0.6539481282234192, -0.20200279355049133, 0.7...
def get _ uploads ( self, request, field _ name = none, populate _ post = false ) : if hasattr ( request,'_ _ uploads') = = false : request. meta ['wsgi. input']. seek ( 0 ) fields = cgi. fieldstorage ( request. meta ['wsgi. input'], environ = request. meta ) request. _ _ uploads = { } if populate _ post : request. pos...
[ -0.5842602849006653, 0.22296564280986786, 0.6654636859893799, 0.41275081038475037, 0.4611079692840576, -0.2478402853012085, -0.46046048402786255, -0.933482825756073, -0.5170013904571533, 0.27712351083755493, -0.22929750382900238, -0.846834123134613, -0.28422811627388, 1.4433058500289917, ...
def delete _ tasks _ by _ name ( self, task _ name ) : return self. delete _ tasks _ by _ name _ async ( task _ name ). get _ result ( )
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def extract _ variables ( self ) : self. var _ map = { } for idx in range ( len ( self. predicates ) ) : for arg _ id, arg in enumerate ( self. predicates [ idx ]. args ) : if is _ variable ( arg ) : if arg in self. var _ map : self. predicates [ idx ]. args [ arg _ id ] = self. var _ map [ arg ] else : new _ arg = sta...
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def get _ normalized _ probs ( self, net _ output, log _ probs ) : logits = self. get _ logits ( net _ output ) if log _ probs : return utils. log _ softmax ( logits. float ( ), dim = - 1 ) else : return utils. softmax ( logits. float ( ), dim = - 1 )
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def place _ symbol ( grid, player, token ) : input _ square = get _ user _ input ( player, token, grid ) grid [ input _ square ] = token return grid
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def prior ( self, batch _ size, * * kwargs ) : prior = self. reparameterizers [ 0 ]. prior ( batch _ size ) if len ( self. reparameterizers ) > 1 : for reparam in self. reparameterizers [ 1 : ] : prior, _ = reparam ( prior ) return prior
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def change _ paths ( mayafilepath, rootpath, checkexist = false, skippathconfirmation = true, searchformayafiles = false, forceospaths = none, seek = false, passunknownpaths = false ) : logger ( ). info ( " using maya file % s... " % mayafilepath ) pathmatch = r'" ( [ ^ " ] * ) "'fmatch _ re = re. compile ( pathmatch )...
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def readcsv ( mongocollection, infilepath, geomfield = " geom _ text ", delimiterchar = " ; ", outcsvpath = none ) : print ( " reading csv path % s and loading records " % ( infilepath ) ) badgeom = [ ] # if outcsvpath : # print ( " writing out mongodb geocsv " ) # outfile = open ( outcsvpath,'w ', newline = " \ n " ) ...
[ 0.48731961846351624, -0.29694196581840515, 0.6574698686599731, 0.7548953890800476, 0.22050639986991882, 0.9394615292549133, 0.5183270573616028, -0.048015046864748, -0.0954960361123085, 0.4618380069732666, 0.13749153912067413, 0.11362415552139282, -0.5021091103553772, -0.07170385122299194, ...
def get _ buttons ( self ) - > dict [ str, dict ] : return self. buttons
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def create _ trade _ info _ table ( self, symbol, start, end ) : for i in range ( start, end + 1 ) : table _ name = " trade _ of _ { } _ { } ". format ( symbol, i ) sql = " create table if not exists { } ". format ( table _ name ) sql + = " ( exch _ name varchar ( 255 ), id varchar ( 255 ), price double, qty double, qu...
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def test _ api _ video _ instructor _ initiate _ upload _ in _ read _ only ( self ) : video = factories. videofactory ( ) jwt _ token = instructororadminltitokenfactory ( playlist = video. playlist, permissions _ _ can _ update = false, ) response = self. client. post ( f " / api / videos / { video. id } / initiate - u...
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def test _ info _ working _ flight ( c, users : list [ user ], flights : list [ flight ] ) : mock _ data = { " fake " : " exists ", " anotherfake " : " alsoexists ", " dummycount " : 100 } httpretty. register _ uri ( httpretty. get, f " http : / / container - nodeodm : 3000 / task / { flights [ 0 ]. uuid } / info ", bo...
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def _ transformation ( self, x : np. ndarray ) - > np. ndarray : eps = np. finfo ( np. float64 ). eps return 1 / ( 1 + ( self. half _ saturation / ( x + eps ) ) * * self. exponent )
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def origin ( self, index, origin, width ) : hwidth = width / 2 ; return ( origin [ 0 ] + ( hwidth if index & 1 else 0 ), origin [ 1 ] + ( hwidth if index & 2 else 0 ), origin [ 2 ] + ( hwidth if index & 4 else 0 ) )
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def do _ update ( self, node _ id ) : _ error _ code, _ msg = ramstkdatamodel. do _ update ( self, node _ id ) if _ error _ code! = 0 : _ error _ code = 2006 _ msg ='ramstk error : attempted to save non - existent'\'designelectric record id { 0 : d }. '. format ( node _ id ) return _ error _ code, _ msg
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def index ( ) : return render _ template ('index. html')
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def _ determinant ( tri _ mat ) : return np. diagonal ( tri _ mat ). prod ( )
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def create _ machine _ state ( conn ) : machine _ id = get _ dbus _ machine _ id ( ) boot _ id = get _ boot _ id ( ) my _ ip = get _ global _ ip ( ) try : inserted = r. db ('wanwipe'). table ('machine _ state'). insert ( {'machine _ id': machine _ id,'boot _ id': boot _ id,'ip': my _ ip,'updated _ at': r. now ( ) } ). ...
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def unfollow _ group ( self, group _ id, logged _ in _ user _ id, access _ token, client _ token, * * kwargs ) : kwargs ['_ return _ http _ data _ only'] = true if kwargs. get ('callback') : return self. unfollow _ group _ with _ http _ info ( group _ id, logged _ in _ user _ id, access _ token, client _ token, * * kwa...
[ -0.4132865369319916, 0.38602885603904724, 0.5570879578590393, 0.1228884682059288, -0.9295637011528015, 0.06505726277828217, 0.5469732284545898, -1.0541982650756836, 0.3555339276790619, -0.05542296916246414, 0.5402854084968567, 1.0067449808120728, -0.6915786266326904, 0.9128237366676331, ...
def _ parse _ centroid ( center ) : coordinates = json. loads ( center ) [ " coordinates " ] return coordinates [ 0 ], coordinates [ 1 ]
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def add _ func ( self, f ) : self. global _ funcs. add ( f )
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def calcdistance ( self, locationarray ) : self. dist = distance. euclidean ( self. start, locationarray [ 0 ] ) + distance. euclidean ( self. start, locationarray [ - 1 ] ) # distance from start to first stop and last to first stop for i in range ( len ( locationarray ) - 1 ) : # all other distances self. dist + = dis...
[ -1.004909634590149, -1.0348999500274658, 0.5459635257720947, -0.10025729984045029, 0.4137412905693054, 0.5666550397872925, 0.7355920076370239, 0.6283235549926758, 0.7437078356742859, 0.5303442478179932, -0.11865391582250595, -0.6531749963760376, -0.8557066321372986, 0.6754125952720642, -...
def seven ( ) : return [ [ 1, 1, 1, 1 ], [ 1, 0, 0, 1 ], [ 0, 0, 0, 1 ], [ 0, 0, 1, 0 ], [ 0, 0, 1, 0 ], [ 0, 1, 0, 0 ], [ 0, 1, 0, 0 ], ]
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def write ( self, b ) : return 0
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def sitemap _ xml ( self ) : if self. should _ noindex ( ) : return [ ] return self. main _ menu ( )
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def _ _ init _ _ ( self, kinematics, cycle _ time = 0. 008, log _ cart = false ) : trajectorygenerator. _ _ init _ _ ( self, kinematics, cycle _ time = cycle _ time ) self. _ log _ cart = log _ cart self. _ twist _ update _ time = time. time ( ) self. _ start _ pose = none self. _ target _ pose = none self. _ interpola...
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def get _ data _ from _ archive ( msid, start, stop, glim, step = 3600. 0 ) : # # - - - week long data 5 min step # wtime = [ ] wdata = [ ] wmed = [ ] wstd = [ ] wmin = [ ] wmax = [ ] wyl = [ ] wyu = [ ] wrl = [ ] wru = [ ] wcnt = [ ] step2 = 86400 wstart = stop - 86400. 0 * 14. 0 # - - - - two weeks ago # # - - - one ...
[ 0.3807320296764374, -0.4846612811088562, 0.8790366053581238, -0.2743612825870514, -0.923730194568634, -0.17007488012313843, -0.4977533221244812, -0.06718846410512924, 0.15709225833415985, 0.2653512954711914, -0.34748995304107666, 0.5231518745422363, -0.3509877026081085, 0.707396388053894, ...
def _ pre _ concat _ forward _ fn ( cls, cell, inputs : torch. tensor, state : torch. tensor, context : torch. tensor ) : out = torch. cat ( [ inputs, context ], dim = 1 ) out = cell ( out, state ) return out
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def adjacency ( dist, idx, sigma = none ) : m, k = dist. shape assert m, k = = idx. shape assert dist. min ( ) > = 0 # weights. if sigma is none : sigma = np. mean ( dist [ :, - 1 ] ) * * 2 dist = np. exp ( - dist * * 2 / sigma ) # weight matrix. i = np. arange ( 0, m ). repeat ( k ) j = idx. reshape ( m * k ) v = dist...
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def test _ read _ success ( self ) : request = self. factory. get ('/ buildings') response = buildings ( request ) self. assertequal ( response. status _ code, 200 ) b = buildings. objects. get ( pk = 1 ) self. assertequal ( b. name, " test _ name " )
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def _ _ on _ click ( self ) - > noreturn : if workspaceview. selection is not none : startbuttonview. interrupt _ mp ( ) workspaceview. selection. delete ( ) self. clearfocus ( )
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