text stringlengths 25 2.19k | embedding listlengths 768 768 |
|---|---|
def resource _ path ( ) : try : # pyinstaller creates a temp folder and stores path in _ meipass base _ path = sys. _ meipass except exception : base _ path = os. path. abspath ( ". " ) return base _ path | [
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def test _ get _ features ( self ) : pass | [
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def test _ runswithstandardresult ( self ) : result = pyunit. testresult ( ) self. holder. run ( result ) self. assertfalse ( result. wassuccessful ( ) ) self. assertequal ( 1, result. testsrun ) | [
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def rot _ line ( self, line1 ) : x1 = line1 [ 0 ] [ 0 ] y1 = line1 [ 0 ] [ 1 ] x2 = line1 [ 1 ] [ 0 ] y2 = line1 [ 1 ] [ 1 ] # find the midpoint of the line mx = ( x1 + x2 ) / 2 my = ( y1 + y2 ) / 2 # move the line to originate at the midpoint x1 - = mx y1 - = my x2 - = mx y2 - = my # rotate both points xtemp = x1 ytem... | [
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def testinitialize ( self ) : # now set the default directories for those not set outputdirectory = os. path. join ( self. mop1. settings. filestore, '.. ', '..') self. mop1. setdefaultoutputdirectory ( outputdirectory ) self. mop2. setdefaultoutputdirectory ( outputdirectory ) self. mop3. setdefaultoutputdirectory ( o... | [
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def disconnect ( self, cid ) : try : del self. observers [ cid ] except keyerror : pass | [
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def make _ prediction ( predicted _ images, filename ='submission. csv ', patches _ predicted = false ) : print ( f " creating submission csv at location { filename } " ) file = open ( filename, " w " ) file. write ('id, prediction \ n') for image _ id, pred in enumerate ( predicted _ images ) : patches _ pred = make _... | [
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def _ string _ input _ to _ list ( input _ str, valid _ str, arg _ name ) : if input _ str is none : input _ str = list ( ) elif isinstance ( input _ str, str ) : input _ str = [ input _ str ] for str _ item in input _ str : _ check _ option ( arg _ name, str _ item, valid _ str ) return input _ str | [
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def tensor _ concatfromlist ( ds, dim = 0 ) : # the storer _ storage = ds [ 0 ] # the update / concatenation for indx in range ( 1, len ( ds ) ) : torch. cat ( ( _ storage, ds [ indx ] ), dim ) return _ storage | [
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def predict _ cumulative _ hazard ( self, df, times = none, conditional _ after = none ) - > pd. dataframe : if isinstance ( df, pd. series ) : return self. predict _ cumulative _ hazard ( df. to _ frame ( ). t ) if conditional _ after is not none : raise notimplementederror ( ) times = np. atleast _ 1d ( coalesce ( ti... | [
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def nb _ lat ( self ) : return len ( self. sample ) | [
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def gethighscores ( self, direction ) : with self. con : self. cur. execute ( " select * from highscores order by score " " " + str ( direction ) + " limit 10 ; " ) return self. cur. fetchall ( ) | [
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def has _ ticket ( self, customer ) : # post : # if the showtime has any tickets associated with it that belong to the given customer,'true'is returned. # otherwise,'false'if returned. for item in self. tickets : if item. customer = = customer : return true return false | [
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def wrapper _ chain _ orientation _ parameter ( simname, nc, dp, coord _ loc = [ 3, 6 ], dir ='x ', sc = false ) : coord = extract. extract _ unwrapped ( simname ) cop _ list _ x = [ ] cop _ list _ y = [ ] cop _ list _ z = [ ] if dir = ='x': for key in coord : cop _ list _ x. append ( chain _ orientation _ parameter ( ... | [
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def set _ speeds ( cls, new _ def _ speed : int, new _ boosted _ speed : int ) - > none : cls. default _ text _ speed = new _ def _ speed cls. boosted _ text _ speed = new _ boosted _ speed | [
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def create _ job ( accession _ id ) : # construct request path = " { } / jobs " payload = {'accession _ id': accession _ id } url = path. format ( fabric _ api _ url ) result = requests. post ( url, json = payload, auth = auth ) return result. json ( ) | [
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def _ search _ tryexec ( self, root _ mount _ point, absolute _ desktop _ file ) : assert absolute _ desktop _ file. startswith ( root _ mount _ point ) with open ( absolute _ desktop _ file, " r " ) as f : for tryexec _ line in [ x for x in f. readlines ( ) if x. startswith ( " tryexec " ) ] : try : key, value = tryex... | [
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def get _ all _ teams ( self, format ='json') : response = self. get ( self. base _ url + " / league / " + str ( self. game ) + ". l. " + str ( self. league ) + " / teams / ", format = format ) raw _ team _ list = response ['fantasy _ content'] ['league'] [ 1 ] ['teams'] # flatten the team info, because yahoo's json is... | [
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def test _ increment _ self _ with _ sum _ vector ( self ) : self. vector + = vector ( [ 3, 2, 1 ] ) self. assertequals ( [ 4, 4, 4 ], self. vector ) self. vector + = [ 1, 1, 1 ] self. assertequals ( [ 5, 5, 5 ], self. vector ) self. assertraises ( nonnumericerror, self. vector. _ _ iadd _ _, [ 1, 2,'a'] ) self. assert... | [
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def register _ plots ( loss, grapher, epoch, prefix ='train ', force _ sync = false ) : if args. distributed _ rank = = 0 and grapher is not none : # only send stuff to visdom once. for k, v in loss. items ( ) : if isinstance ( v, dict ) : register _ plots ( loss [ k ], grapher, epoch, prefix = prefix ) if'mean'in k or... | [
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async def gif ( self, ctx, search = none ) - > none : payload = { " api _ key " : " dc6zatoxfjmzc " } title = " random gif " if search : title = " random \ " % s \ " gif " % search payload [ " tag " ] = search response = get ( " http : / / api. giphy. com / v1 / gifs / random ", params = payload ) r _ json = response. ... | [
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def main ( ) : args = parameters ( ) shared. settings ( args ) shared. doread ( args ) | [
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def _ set _ managers ( self, additional _ managers : optional [ list [ managerbase ] ] ) : self. managers : list [ managerbase ] = [ self. log _ manager, self. version _ manager, self. action _ handler, ] if additional _ managers : self. managers. extend ( additional _ managers ) | [
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def save ( self, path ) : with h5py. file ( path, " w " ) as f : f. create _ dataset ( " alns ", data = self. data ) f. create _ dataset ( " labels ", data = self. labels ) f. create _ dataset ( " dist ", data = self. dist ) | [
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def ff2n ( n ) : return 2 * fullfact ( [ 2 ] * n ) - 1 | [
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def shape _ interpolate ( shape, density ) : points = [ ] for index, obj in enumerate ( shape ) : if index > 0 : previous = shape [ index - 1 ] points + = linear _ interpolate ( previous, obj, density ) else : points. append ( obj ) points + = linear _ interpolate ( shape [ 0 ], shape [ len ( shape ) - 1 ], density ) r... | [
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def _ _ init _ _ ( self ) : self. _ cur _ prec = 0 builtinfunction. _ _ init _ _ ( self, " dickman _ rho ", 1 ) | [
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def users ( ) - > str : email = request. form. get ( " email " ) password = request. form. get ( " password " ) try : user = auth. register _ user ( email, password ) return jsonify ( { " email " : " { } ". format ( email ), " message " : " user created " } ) except valueerror : return jsonify ( { " message " : " email... | [
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def lidar ( self ) : return self. sensors [ 2 ] | [
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def rm _ file ( path ) : # todo : python3. 8 supports missing _ ok flag try : path. unlink ( ) except filenotfounderror : pass | [
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def filter _ time ( df : pd. dataframe, start : union [ datetime, none ] = none, end : union [ datetime, none ] = none, ) - > pd. dataframe : # get time index time = df. index. get _ level _ values ( " time " ) # filter & return return df. loc [ ( time > = start ) & ( time < = end ) ] if start and end else df | [
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def check _ firewall _ processes ( self ) : alf = read _ plist ('/ library / preferences / com. apple. alf. plist') if alf : processes = get _ plist _ key ( alf, " firewall " ) if processes : for key, value in processes. iteritems ( ) : try : name = key state = str ( value ['state'] ) process = value ['proc'] try : ser... | [
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def result _ code ( self ) : return self. result _ reverse [ self. result ] | [
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def runsimulation ( self ) : # the current stands for a tick in clock, and it is sent to cashier as the signal to serve customers for currenttime in range ( self. _ totaltime2run ) : # try to generage a customer customer = customer. generatecustomer ( self. _ probobilityofnewarrival, currenttime, self. _ averageserveti... | [
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def transact _ stub ( slippage, commission, event, open _ orders ) : def inject _ algo _ dt ( record ) : if not'algo _ dt'in record. extra : record. extra ['algo _ dt'] = event ['dt'] with processor ( inject _ algo _ dt ). threadbound ( ) : transactions = slippage. simulate ( event, open _ orders ) for transaction in t... | [
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def argument ( self, name _ argument ) : answer = self. _ call ('argument ', argument = name _ argument ) return answer. name, answer. value | [
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def mod _ boruvka ( g, subgraphs = none, rtree = none ) : # special case ( already mst ) if g. number _ of _ nodes ( ) < 2 : return g v = set ( g. nodes ( ) ) # geograph coords may be ndarray or dict if isinstance ( g. coords, np. ndarray ) : coords = g. coords else : coords = np. row _ stack ( g. coords. values ( ) ) ... | [
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def expose _ headers ( self ) - > sequence [ str ] : return pulumi. get ( self, " expose _ headers " ) | [
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def isfilemock ( obj ) : try : return ( isinstance ( obj, filedescriptor ) or isinstance ( obj. fileno ( ), filedescriptor ) ) except attributeerror : # obj has no attribute fileno ( ) return false | [
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def top ( self ) : return self. _ queue [ - 1 ] | [
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def schedule ( jobs ) : jobs = sorted ( jobs, reverse = true ) acc = 0 weighted = 0 for job in jobs : acc + = job. length weighted + = job. weight * acc return weighted | [
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def get _ bottom _ wall ( self ) : x1, y1 = self. left + 1, self. top + self. height - 1 x2, y2 = self. left + self. width - 1, y1 return self. level. get _ tiles _ along _ line ( x1, y1, x2, y2 ) | [
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def _ authenticated _ user ( self ) - > models. user : user : models. user = models. user. objects. create ( ) self. client. force _ login ( user ) return user | [
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def convert _ gff ( bog, out _ file ) : chrom _ len _ dict = { } gff _ dict = { } out _ features = [ ] for classy _ gene in bog : gff _ dict, chrom _ len _ dict = create _ or _ append _ gff _ feature ( classy _ gene, gff _ dict ) for chrom in gff _ dict : rec = gff _ dict [ chrom ] [ 0 ] print ( len ( rec ) ) feature _... | [
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def _ createasync ( self, metric, metric _ name ) : if self. metadata _ switch. enabled ( ) : self. _ metricstocreate. put ( ( metric, metric _ name ) ) creates _ enqueued. inc ( ) | [
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def _ _ init _ _ ( self, percentile = 0. 99 ) : super ( ). _ _ init _ _ ( ) self. percentile = percentile self. upper = none self. lower = none self. lower _ mask = none self. upper _ mask = none | [
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def requires ( self ) : specimen _ cleaning _ dep = ( mousespecimencleaner ( ) if self. specimen _ type = = " mouse " else embryospecimencleaner ( ) ) return [ specimen _ cleaning _ dep, colonycleaner ( ) ] | [
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def get _ absolute _ url ( self ) : return reverse ( " users : profile ", args = [ self. id ] ) | [
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def first ( self ) - > dataframe : return self. select _ all ( ). first ( ) | [
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def configure _ queue _ logger ( queue : queue ) : handler = queuehandler ( queue ) logger = getlogger ( ) logger. addhandler ( handler ) logger. setlevel ( debug ) | [
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def test _ sph _ to _ cart ( ) : # simple test, expected value ( 11, 0, 0 ) r, theta, phi = 11. 0, 0. 0, np. pi / 2. 0 z = r * np. cos ( phi ) rsin _ phi = r * np. sin ( phi ) x = rsin _ phi * np. cos ( theta ) y = rsin _ phi * np. sin ( theta ) coord = _ sph _ to _ cart ( np. array ( [ [ r, theta, phi ] ] ) ) [ 0 ] as... | [
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def test _ get _ context _ dict _ escaped _ character ( self ) : manifest = manifest ( stringio ( manifest _ escaped _ parameters ) ) context _ dict = manifest. get _ context _ dict ( ) assert " section : escapeme | escaped " in context _ dict tools. eq _ ( context _ dict [ " section : escapeme | escaped " ], " \! \ @ ... | [
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def getgamestate ( self ) : # # # student code goes here t = [ ] for i in range ( 1, 4 ) : info = self. kb. kb _ ask ( parse _ input ('fact : ( on? disk peg'+ str ( i ) +')') ) states = [ ] if info : for piece in info : disk = piece [ '? disk'] num = int ( disk [ - 1 ] ) states. append ( num ) states. sort ( ) tuptemp ... | [
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def link ( self, z ) : return z | [
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def update ( self ) : next _ w = self. network. weights next _ b = self. network. biases self. w _ over _ time. append ( next _ w ) self. b _ over _ time. append ( next _ b ) cost = reduce ( lambda tot, coord : tot + self. network. cost ( coord ), self. train, 0 ) self. cost _ over _ time. append ( cost ) | [
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def _ _ generate _ templates ( cls, parser : templateparser, args : list ) : for ( source _ path, destination _ path ) in cls. _ get _ template _ files ( ) : destination _ path = parser. render _ string ( destination _ path ) destination _ directory = os. path. dirname ( destination _ path ) # create the destination fo... | [
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def can _ run _ for _ president ( age ) : # the us constitution says you must " have attained to the age of thirty - five years " return age > = 35 | [
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def _ deactivate _ provisioning _ service _ block ( self ) : config = self. _ config. plugins [ self. full _ name ] path = self. _ mountpoint + config. get ('policy _ file _ path ','' ) filename = path + " / " + config. get ('policy _ file') if not os. path. isdir ( path ) : log. debug ( " creating % s ", path ) os. ma... | [
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def test _ get _ top _ heroes ( self ) : # aqui vamos fazer um loop e criar 20 herois # e o nome vai ser hero + index do loop, ex : " hero 1 " for index in range ( 1, 21 ) : self. create _ hero ('hero { 0 } '. format ( index ),'marvel') # fazendo a primeira consulta a url e conferindo a resposta response = self. app. g... | [
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def create _ item ( self, user, data ) : pass | [
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def test _ trivial _ dilation ( ) : _ assert _ inout _ for _ expected _ output ( input _ length = 5, expected = 5, dilation = 2 ) | [
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async def channel ( self, ctx, value : bool = none ) : v = await self. config. guild ( ctx. guild ). enabledchannels ( ) if value is none : if ctx. channel. id not in v : await ctx. send ('stats are not being recorded in this channel.') else : await ctx. send ('stats are being recorded in this channel.') else : if valu... | [
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def _ makemaskedarg ( x ) : if isinstance ( x, abstractvariable ) and not isinstance ( x, transientvariable ) : return x. subslice ( ) elif isinstance ( x, transientvariable ) : return x else : return array ( x ) | [
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def testgetthermodatamopac ( self ) : outputdirectory = os. path. join ( self. mop1. settings. filestore, '.. ', '..') self. mop1. setdefaultoutputdirectory ( outputdirectory ) self. mop2. setdefaultoutputdirectory ( outputdirectory ) self. mop3. setdefaultoutputdirectory ( outputdirectory ) mol = molecule ( ). fromsmi... | [
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def _ reassign _ ports ( self, sg _ aggr ) : ports = sg _ aggr. get ('ports ', none ) port _ keys _ to _ drop = defaultdict ( list ) while len ( ports ) > 0 : port = ports. popleft ( ) sg _ set = sg _ util. security _ group _ set ( port ) if not sg _ set : log. debug ( " port { } has no security group set, skipping rea... | [
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def set _ source0 ( self, value ) : assert isinstance ( value, numpy. ndarray ), " source must be of type numpy. ndarray " self. _ _ source0 = value | [
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def test _ get _ token _ phonemes ( self ) - > none : doc = self. nlp ( " one two 3 go! " ) # " one " is in the table self. assertequal ( self. px. get _ token _ phonemes ( doc [ 0 ] ), ( " w ", " ʌn " ) ) # " go " isn't in the table ; it should return oov _ phonemes self. assertequal ( self. px. get _ token _ phonemes... | [
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def signup _ verify ( request, uidb36 = none, token = none ) : user = authenticate ( uidb36 = uidb36, token = token, is _ active = false ) if user is not none : user. is _ active = true user. save ( ) auth _ login ( request, user ) info ( request, _ ( " successfully signed up - this is your personal desk : " ) ) return... | [
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def make _ df ( left _ df, sensor _ d, sensor _ l ) : for i in sensor _ l : h = sensor _ d [ i ] [ 0 ] [ 0 ] left _ df [ h ] = sensor _ d [ i ] [ 0 ] [ 1 : ] + sensor _ d [ i ] [ 1 ] left _ df ['notes'] = sensor _ d ['notes'] return left _ df | [
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def validate _ input ( self ) : run _ inpgen = true inputs = self. inputs if'fleurinp'in inputs : run _ inpgen = false if'structure'in inputs : warning ='warning : ignoring structure input, because fleurinp was given'self. ctx. warnings. append ( warning ) self. report ( warning ) if'inpgen'in inputs : warning ='warnin... | [
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def wolf _ behavior ( farmer, herd, wolf _ pack ) : for wolf in wolf _ pack : if wolf. wolf _ hit = = false and len ( herd. sprites ( ) ) > 0 : closest _ cow = wolf. track _ cow ( herd ) if not pygame. sprite. collide _ rect ( closest _ cow, wolf ) : wolf. move _ horizontally _ towards _ cow ( closest _ cow ) wolf. mov... | [
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def started ( self ) - > bool : return self. _ started. is _ set ( ) | [
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def corrupt _ dataset ( x _ agg, y _ agg, prop _ outliers, corruption _ params ) : n, d = x _ agg. shape # check if prop _ outliers is indeed a proportion between 0 and 1 assert prop _ outliers > = 0 and prop _ outliers < = 1 n _ outliers = int ( prop _ outliers * n ) # randomly pick indexes of targets to corrupt outli... | [
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def uuid ( self ) - > str : return pulumi. get ( self, " uuid " ) | [
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def _ biom _ to _ pysurvey _ mat ( table ) : table = biom. load _ table ( table ) mat = table. matrix _ data. toarray ( ). t return pd. dataframe ( mat, columns = table. ids ( axis ='observation'), index = table. ids ( ) ) | [
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def create _ user _ profile ( sender, instance, created, * * kwargs ) : if created : userprofile. objects. create ( user = instance ) | [
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def intersect ( self, ray ) : # todo : intersect in geometry needs to be refactored either to take in ` clip ` # or to return all intersections. for now, we can rely on the normal as a disposer # that results in at most one intersection. t = self. geometry. intersect ( ray ) if t is none : return none r = ray. v _ q q ... | [
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def get _ audio _ analysis _ for _ tracks ( sp, track _ list ) : audio _ analysis = [ ] for track in track _ list : audio _ analysis. append ( { * * track,'audio _ analysis': get _ audio _ analysis ( sp, track ['uri'] ) } ) return audio _ analysis | [
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def calculatelogprob ( self, * argv, * * kwargs ) : pass | [
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async def test _ no _ state _ change _ on _ failure ( v3 _ server ) : v3 _ server. post ( ( f " https : / / api. simplisafe. com / v1 / ss3 / subscriptions / { test _ subscription _ id } " " / state / away " ), status = 401, body = " unauthorized ", ) v3 _ server. post ( " https : / / api. simplisafe. com / v1 / api / ... | [
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def meshgrid _ abs ( batch, height, width, is _ homogeneous = true ) : xs = tf. linspace ( 0. 0, tf. cast ( width - 1, tf. float32 ), width ) ys = tf. linspace ( 0. 0, tf. cast ( height - 1, tf. float32 ), height ) xs, ys = tf. meshgrid ( xs, ys ) if is _ homogeneous : ones = tf. ones _ like ( xs ) coords = tf. stack (... | [
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def _ _ init _ _ ( self, name, configfile ) : service. _ _ init _ _ ( self, name, configfile ) # load info from the configuration parameters self. _ param1 = self. param ( " param1 " ) self. _ param2 = self. param ( " param2 " ) | [
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def unique ( self ) : return false | [
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def get _ contact ( conn : sqlite3. connection, mac _ address, * args ) : fields = [ * filter ( lambda f : f in contact _ fields, args ) ] if fields : with conn : statement = f " select { ', '. join ( fields ) } from contact where mac _ address =? " values = conn. execute ( statement, ( mac _ address, ) ). fetchone ( )... | [
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def test _ create _ game _ default _ opts ( self ) : # make create request and parse response response = self. c. post ( reverse ('api - ajax - game') ) response _ dict = json. loads ( response. content ) # make some assertions yo! self. assertequal ( response. status _ code, 200 ) self. assertequal ( response _ dict [... | [
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def children ( self ) - > iterable [ e ] :... | [
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def count _ nucleotides ( dna, nucleotide ) : number = 0 for num in dna : if num = = nucleotide : number + = 1 return number | [
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def compute _ det ( true _ labels, row _ predictions, th _ step = none, show _ figure = false, save _ figure = false ) : min _ value = row _ predictions. min ( ) max _ value = row _ predictions. max ( ) if th _ step is none : th _ step = ( max _ value - min _ value ) / 100 thresholds = np. arange ( min _ value, max _ v... | [
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def allow _ add _ quote ( self, attempting _ artisan ) : quote = apps. get _ model ('job ','quote') if not attempting _ artisan. profession : return false if ( quote. objects. filter ( artisan = attempting _ artisan, job = self. job, closed _ requoted = false ). exists ( ) or quote. objects. filter ( job = self. job, c... | [
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def parse _ compute _ version ( compute _ version ) : split _ ver = compute _ version. split ( ". " ) try : major = int ( split _ ver [ 0 ] ) minor = int ( split _ ver [ 1 ] ) return major, minor except ( indexerror, valueerror ) as err : # pylint : disable = raise - missing - from raise runtimeerror ( " compute versio... | [
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def color _ range _ update ( self, vmin, vmax ) : if vmin! = vmax : svdiff = self. svmax - self. svmin svmin = svdiff * vmin + self. svmin svmax = svdiff * vmax + self. svmin self. svmin = svmin self. svmax = svmax else : self. svmin = self. vmin self. svmax = self. vmax norm = matplotlib. colors. normalize ( self. svm... | [
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def test _ project _ view _ project _ exists _ with _ milestones ( self ) : project = create _ project _ and _ milestones ( " title ", 3 ) response = self. client. get ( reverse ('projects : project ', args = ( 1, ) ) ) self. assertnotequal ( response. status _ code, 404 ) self. assertcontains ( response, " title " ) s... | [
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def sample ( self, n : " optional [ int ] " = none, frac : " optional [ float ] " = none, with _ replacement : bool = false, ) - > " dataframe " : if n is not none : return wrap _ df ( self. _ df. sample _ n ( n, with _ replacement ) ) return wrap _ df ( self. _ df. sample _ frac ( frac, with _ replacement ) ) | [
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def directory ( self ) : return self. _ directory | [
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def findlines ( self, n, num ) : return self. currentlines [ ( n, num ) ] | [
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def post _ multipart ( host, selector, fields, files ) : content _ type, body = encode _ multipart _ formdata ( fields, files ) h = httplib. http ( host ) h. putrequest ('post ', selector ) h. putheader ('content - type ', content _ type ) h. putheader ('content - length ', str ( len ( body ) ) ) h. endheaders ( ) h. s... | [
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def is _ unreliable _ tag ( tag ) : matchers = [ lambda x : x = = "... " or x = = " commentary _ request " ] for matcher in matchers : if matcher ( tag ) : return true return false | [
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def assert _ in _ range ( self, inside, outside, offset ) : from sixtypical. analyzer import rangeexceedederror assert isinstance ( inside, locationref ) assert isinstance ( outside, locationref ) # inside should always be meaningful inside _ range = self. _ range [ inside ] # outside might not be meaningful, so defaul... | [
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def check _ user _ int ( user _ input, max _ value ) : result = false if type ( user _ input ) = = int : if 1 < = user _ input < = max _ value : result = true return result | [
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def getrepositorydata ( repository _ data = none, repository _ id = none, repository _ url = none ) : app = apps. get _ app _ config ('calisphere') repository = { } repository _ details = { } if not ( repository _ data ) and not ( repository _ id ) and repository _ url : repository _ id = re. match ( r'https : / / regi... | [
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0.33220890164375305,
-0.5943669080734253,
0.37334924936294556,
0.09595992416143417,
0.5582853555679321... |
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