text stringlengths 25 2.19k | embedding listlengths 768 768 |
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def scrape _ stats ( url, headers _ dict, stats _ all _ headers ) : # iterate through each position to retrieve stats and store them in dictionary dict _ stats = { } for k, v in headers _ dict. items ( ) : # use dictionary keys to retrieve html table for each position html = beautifulsoup ( requests. get ( url. format ... | [
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def set _ recache ( self, recache ) : self. recache = recache | [
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def network _ ids ( self ) - > sequence [ str ] : return pulumi. get ( self, " network _ ids " ) | [
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def create ( self, validated _ data ) : # is used to create the json object, need to check if this works properly also, needs to be tested return park. objects. create ( * * validated _ data ) | [
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def start _ single ( self, typ, scol ) : self. starting _ single = true single = self. single = single ( typ = typ, group = self, indent = ( scol - self. level ) ) self. singles. append ( single ) return single | [
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def getddgstepcoefficients ( mode, p1, p2 ) : andor _ solis. getddgstepcoefficients. restype = ctypes. c _ uint p1 = ctypes. c _ double ( ) p2 = ctypes. c _ double ( ) result = andor _ solis. getddgstepcoefficients ( ctypes. c _ ulong ( mode ), ctypes. byref ( p1 ), ctypes. byref ( p2 ) ) check _ status ( result ) retu... | [
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def convert _ all _ pdfs _ to _ jpgs ( pdf _ dir ) : # pdf _ dir looks like " / users / miabramel / downloads / pdbs " os. chdir ( pdf _ dir ) for pdf _ file in os. listdir ( pdf _ dir ) : if pdf _ file. endswith ( ". pdf " ) : pages = convert _ from _ path ( pdf _ file, 300 ) pdf _ file = pdf _ file [ : - 4 ] for page... | [
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def downloadbypart ( filename, bigstart, bigstop, url, path, port, threadstatus ) : clientsocket = skt. socket ( skt. af _ inet, skt. sock _ stream ) clientsocket. connect ( ( url, port ) ) content = " " head = " " request = ( " get { n } http / 1. 1 \ r \ n " + " host : { s } \ r \ n " + " connection : close \ r \ n "... | [
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def calcular _ peso ( self, reticulado ) : seccion = self. seccion peso = seccion. peso ( ) largo = self. calcular _ largo ( reticulado ) return peso * largo | [
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def post _ process ( mask ) : bw = morphology _ abel ( mask = = 1 ) # 0 ) fill gap bw = binary _ closing ( bw, disk ( 3 ) ) # 1 ) detach mislabeled pixels bw = binary _ opening ( bw, rectangle ( 2, 20 ) ) # 2 ) remove small objects bw = remove _ small _ objects ( bw, min _ size = 4096, connectivity = 2 ) # 3 ) solve th... | [
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def exrex _ pattern ( patt, star _ len = 10, plus _ len = none ) : if plus _ len is none : plus _ len = star _ len return truncate _ pattern ( expand _ pattern ( patt ), star _ len = star _ len, plus _ len = plus _ len ) | [
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def set _ name _ and _ type _ async ( self, name : optional [ str ], new _ type :'binaryninja. types. type') - > none : self. _ function. create _ user _ var ( self, new _ type, name ) | [
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def stop ( self ) : self. logger. info ( " stopping receiver... " ) for thread in self. threads : thread. stop ( ) | [
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def next ( self ) : try : item = self. api ( ) yield item if not item : raise stopiteration except stopiteration : pass except exception as err : query = " insert into error ( state, error, source ) \ values ( % s, % s, % s ) ; " self. cursor. execute ( query, ( self. state, str ( err ), self. queue _ id ) ) raise err ... | [
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def edit _ list _ item ( shoppinglist _ id, id ) : # check if user is logged in if check _ if _ user _ logged _ in ( ) : form = createlistform ( ) user = session ['user _ email'] # find list with item being edited shopping _ list = shopping _ list _ app. get _ shopping _ list ( shoppinglist _ id, user ) # from the shop... | [
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def mean _ ensemble _ event _ counts ( event _ counts ) : result = { } for elem in event _ counts [ : ] : for key, value in elem. items ( ) : try : result [ key ] + = value except keyerror : result [ key ] = value try : for key in result : result [ key ] / = len ( event _ counts ) except zerodivisionerror : return none... | [
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def get _ refs ( self ) : refs = [ ] relations = self. get _ relations ( ) for relation in relations : # get refs from relation return a tuple ( left side refs, right side refs ) # only the left side refs are the " input " refs refs + = relation. get _ refs ( ) # if the rules do not have any references return none to d... | [
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def getrelativelnpdf ( self, x ) : # - - - + - - - - | - - - - + - - - - | - - - - + - - - - | - - - - + - - - - | - - - - + - - - - | - - - - + - - - - | - - - - + - - - - | return binomialdistbase. getrelativelnpdf ( self, x ) | [
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def _ fitgh _ residuals ( par, x, data ) : return ( data. ravel ( ) - gausshermite ( x, par ) ) | [
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def create _ hgf _ record _ json ( parameters, curdir, form, user _ info = none ) : # sort the files by name. this results in getting all structured # fields first and then ( in case they exist ) individual subfields. hgf _ files = sorted ( get _ hgf _ files ( curdir ) ) hgf _ rec = create _ json _ hgf _ record ( curdi... | [
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def end _ time ( self ) - > pulumi. output [ str ] : return pulumi. get ( self, " end _ time " ) | [
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def depth ( self ) : stats = self. _ get _ stats ( ) return stats ['max _ depth'] | [
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def _ _ init _ _ ( _ _ self _ _, resource _ name : str, opts : optional [ pulumi. resourceoptions ] = none, dataphin : optional [ pulumi. input [ str ] ] = none, dataphin _ count : optional [ pulumi. input [ str ] ] = none, logistics : optional [ pulumi. input [ str ] ] = none, modify _ type : optional [ pulumi. input ... | [
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def get _ num _ in _ interval ( lst, start, end ) : result = [ ] for elem in lst : if start < elem < end : result. append ( elem ) return result | [
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def naked _ twins ( values ) : # find all instances of naked twins # eliminate the naked twins as possibilities for their peers # initialise flag and lists flag = 1 # flag to decide whether to search for naked twins or not my _ list _ row = [ ] my _ list _ col = [ ] my _ list _ sq = [ ] my _ list _ diagonal = [ ] # sta... | [
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def variational _ objective ( self, params, iteration = none ) : mu, logstdev = self. _ unstack ( params ) eps _ sample = self. np _ random. randn ( self. num _ samples, self. dims ) # each row is a different sample. stdev = np. exp ( logstdev ) params _ sample = eps _ sample * stdev + mu # perturb stdev element - wise... | [
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def parse _ args ( args ) : # construct the parser ( which is stored in parser ) # module docstring lives in _ _ doc _ _ # see http : / / python - forum. com / pythonforum / viewtopic. php? f = 3 & t = 36847 # and a formatter class so our examples in the docstring look good. isn't it # convenient how we already wrapped... | [
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def message ( self, message _ text ) : if self. verbose is true : print ('ng :'+ message _ text +'at datetime = ', ( datetime. datetime. now ( ). time ( ) ) ) | [
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def _ log _ before _ and _ after ( context, host _ data, db _ session ) : try : # read the new vios data, and the old vios data from the database new _ vioses = [ ] old _ vioses = [ ] server _ dom = dom. parse _ to _ host ( host _ data, dom. no _ db _ dom _ factory ( ) ) for vios in server _ dom. vio _ servers : new _ ... | [
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def common _ names ( female _ names, male _ names ) : male = set ( male _ names ) female = set ( female _ names ) return male. intersection ( female ) | [
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def get _ server _ metadata ( self, headers : dict [ str, t. any ] =..., as _ json : t. literal [ false ] =... ) - > service _ pb2. servermetadataresponse : | [
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def getaverage ( year, features, count ) : featureavg = [ ] for feature in features : featureavg. append ( feature / count ) return ( year, featureavg ) | [
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def ndarange ( shape : sequence [ int ], dtype : union [ tf. dtype, np. dtype ] = np. float32 ) - > np. ndarray : # pytype doesn't understand the ternary with tf as " any " dtype = ( dtype. as _ numpy _ dtype if isinstance ( dtype, tf. dtype ) else dtype ) # pytype : disable = attribute - error return np. arange ( np. ... | [
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def test _ subscription _ api _ with _ passing _ string _ as _ card _ number ( self ) : data = { " event _ id " : self. event. id, " user _ id " : self. user _ id, " no _ of _ tickets " : 10, " card _ number " : " invalid card ", " expiry _ year " : 2022, " expiry _ month " : 7, " amount " : 1000, " discount _ amount "... | [
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def pin _ pos ( pin _ loc, modules ) : module _ name, local _ pin _ loc = pin _ loc minx, miny, maxx, maxy = modules [ module _ name ]. bounds pinx = ( maxx - minx ) * local _ pin _ loc [ 0 ] + minx piny = ( maxy - miny ) * local _ pin _ loc [ 1 ] + miny return pinx, piny | [
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def _ _ init _ _ ( self, * args, * * kwargs ) : self. config = config super ( requesthandlerwrapper, self ). _ _ init _ _ ( * args, * * kwargs ) | [
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def allcommands ( self ) : return self. _ _ cmds | [
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def np2pil ( im : union [ np. ndarray, image. image ], swap : bool = true ) - > image : try : im. verify ( ) log. warn ( " expected numpy received pil " ) return im except : if swap : if len ( im. shape ) = = 2 : color _ mode = " l " elif im. shape [ 2 ] = = 4 : im = bgra2rgba ( im ) color _ mode = " rgba " elif im. sh... | [
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def _ _ init _ _ ( self, dsxml, filename = none ) : self. _ filename = filename self. _ datasourcexml = dsxml self. _ datasourcetree = et. elementtree ( self. _ datasourcexml ) self. _ name = self. _ datasourcexml. get ('name') or self. _ datasourcexml. get ('formatted - name') # tds files don't have a name attribute s... | [
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def fullsearch ( q, options = { } ) : # dictionary for containing the get query parameters. payload = { } # setting the query parameter payload [ " query " ] = q # setting the google plus api key payload [ " key " ] = google _ api _ key # setting the parameter for the number of returned results to 20 payload [ " maxres... | [
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def target _ help ( ) : return " " " \ for detailed documentation on the sagemaker deployment client, please visit https : / / mlflow. org / docs / latest / python _ api / mlflow. sagemaker. html # mlflow. sagemaker. sagemakerdeploymentclient the target uri must follow the following formats : - sagemaker - sagemaker : ... | [
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def is _ subclass ( test, rootclass ) : try : classutils. _ cached _ subclasses [ rootclass. _ _ name _ _ ] except exception : classutils. _ cached _ subclasses = { } classutils. _ cached _ subclasses [ rootclass. _ _ name _ _ ] = \ classutils. get _ all _ subclasses ( rootclass ) finally : subclasses = classutils. _ c... | [
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def get _ boton ( archivo, flip = false, rotacion = none, pixels = 0, tooltip _ text = none ) : from gi. repository import gtk from gi. repository import gdkpixbuf if not pixels : pixels = get _ pixels ( 1 ) boton = gtk. toolbutton ( ) imagen = gtk. image ( ) pixbuf = gdkpixbuf. pixbuf. new _ from _ file _ at _ size ( ... | [
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def test _ multi _ fetch _ non _ existant _ series ( self ) : path1, path2 ='fake _ path1 ','fake _ path2'reader1 = graphite _ influxdb. influxdbreader ( influxdbclient ( database = self. db _ name ), path1, graphite _ influxdb. utils. nullstatsd ( ) ) reader2 = graphite _ influxdb. influxdbreader ( influxdbclient ( da... | [
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def ways ( stair _ count, m ) : if stair _ count < = 1 : return stair _ count if m < = 1 : return 1 fib = [ 0, 1 ] for _ in range ( stair _ count ) : fib. append ( sum ( fib ) ) if len ( fib ) > m : fib. pop ( 0 ) return fib [ - 1 ] | [
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def get _ sari _ score ( source _ ids, prediction _ ids, list _ of _ targets, max _ gram _ size = 4, beta _ for _ deletion = 0 ) : addition _ scores = [ ] keep _ scores = [ ] deletion _ scores = [ ] for n in range ( 1, max _ gram _ size + 1 ) : source _ counts = _ get _ ngram _ counter ( source _ ids, n ) prediction _ ... | [
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def ha _ from _ lst ( lst, ra ) : hourangle = lst - ra return hourangle | [
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def quotient ( x, y ) : quotientvalue = x / y return ( quotientvalue ) | [
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def get _ alphabet ( self ) : return''. join ( self. _ alphabet ) | [
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def trellis _ kernel ( rx ) : # pragma : no cover butterfly _ lut = [ ( 0, 0, 1, 3 ), ( 2, 2, 3, 1 ), ( 4, 0, 5, 3 ), ( 6, 2, 7, 1 ), ( 8, 3, 9, 0 ), ( 10, 1, 11, 2 ), ( 12, 3, 13, 0 ), ( 14, 1, 15, 2 ), ( 16, 3, 17, 0 ), ( 18, 1, 19, 2 ), ( 20, 3, 21, 0 ), ( 22, 1, 23, 2 ), ( 24, 0, 25, 3 ), ( 26, 2, 27, 1 ), ( 28, 0,... | [
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def _ _ init _ _ ( self, nfeat, nhid, noutput, dropout, alpha, nheads, region _ size ) : super ( gat, self ). _ _ init _ _ ( ) self. dropout = dropout # self. attentions = nn. modulelist ( [ graphattentionlayer ( nfeat, nhid, region _ size = region _ size, dropout = dropout, alpha = alpha, concat = true ) for _ in rang... | [
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def sort _ by _ index ( meta, type _ weights, property _ name ='index') : has _ index = six. moves. filter ( lambda m : m. get _ property ( property _ name ) is not none, meta ) has _ no _ index = six. moves. filter ( lambda m : m. get _ property ( property _ name ) is none, meta ) return ( sorted ( has _ index, key = ... | [
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def cross _ with ( self, other, iterations = 1 ) : x1, x2 = self. copy ( ), other. copy ( ) for i in range ( iterations ) : n = randint ( 0, len ( self. _ _ genome ) - 1 ) x1. set _ value ( x1. get _ value ( ) [ : n ] + x2. get _ value ( ) [ n : ] ) x2. set _ value ( x2. get _ value ( ) [ : n ] + x1. get _ value ( ) [ ... | [
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def next _ iteration ( self ) - > none : # noqa : d102 self. _ iteration + = 1 if self. _ iteration > self. _ restart _ iteration : self. _ iteration = 0 logger. debug ( " perform a restart. " ) self. _ probability = self. _ min _ probability + ( 0. 5 * ( self. _ max _ probability - self. _ min _ probability ) * ( 1 + ... | [
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def compute _ laplacian ( self ) : self. deg = np. diag ( self. w. sum ( axis = 1 ) ) self. l = self. deg - self. w | [
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def main ( scores _ dir, stats _ dir, odds _ dir, ultimate _ dir, root _ dir, home _ metric, away _ metric, unique _ matches _ required, larger _ is _ better, min _ weeks, constructor, filename, ultimate ) : if ultimate : # load data locations ultimate _ names = [ os. path. join ( root _ dir, ultimate _ dir, " ultimate... | [
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def test _ email _ works ( tmpdir ) : email _ server, maildir = generate _ email _ server ( tmpdir ) email _ server. start ( ) time. sleep ( 3. 0 ) # send a test email email _ sent = actions. send _ email ( " test @ test. org ", " hello ", " this is a test ", [ " test @ test. org " ], " 127. 0. 0. 1 ", none, none, " sa... | [
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def search ( self, word ) : return self. searchhelper ( word, self. root ) | [
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def _ app _ samp _ entropy ( self, x, order, metric ='chebyshev ', approximate = true ) : _ all _ metrics = kdtree. valid _ metrics if metric not in _ all _ metrics : raise valueerror ('the given metric ( % s ) is not valid. the valid'' metric names are : % s'% ( metric, _ all _ metrics ) ) phi = np. zeros ( 2 ) r = 0.... | [
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def _ _ init _ _ ( self, line ) : # break up data from the line try : [ date, op, high, low, close, vol, adjusted _ close ] = line. rstrip ( ). split ( ',') except valueerror : self. date = none return # convert numeric values to floating points and assign data to this object self. date = date self. open = float ( op )... | [
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def _ query _ result _ path ( dump _ directory ) : return os. path. join ( dump _ directory, " random _ forest _ query _ results. csv " ) | [
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def number _ of _ layers ( self ) : return len ( self. _ layers ) + 1 | [
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def displaytalkwhisper ( self, fromid, avatarname, rawstring, mods ) : sender = base. cr. identifyavatar ( fromid ) if sender : chatstring, scrubbed = sender. scrubtalk ( rawstring, mods ) else : chatstring, scrubbed = self. scrubtalk ( rawstring, mods ) sender = self sfx = self. soundwhisper # mpg we need to identify ... | [
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def jsonable ( value ) : if isinstance ( value, list ) : return [ jsonable ( i ) for i in value ] elif isinstance ( value, base ) : log. debug ( f " preparing = { value } " ) retval = dict ( ) mapper = sql. inspect ( value. _ _ class _ _ ) columns = [ c. key for c in mapper. columns if c. key not in value. _ hidden _ a... | [
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def to _ dict ( self ) : result = { } for attr, _ in six. iteritems ( self. openapi _ types ) : value = getattr ( self, attr ) if isinstance ( value, list ) : result [ attr ] = list ( map ( lambda x : x. to _ dict ( ) if hasattr ( x, " to _ dict " ) else x, value ) ) elif hasattr ( value, " to _ dict " ) : result [ att... | [
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def get _ screenshot _ as _ base64 ( self ) : return self. screenshot64 | [
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def _ reversecoordinates ( self, x, y ) : return x + self. xc, self. yc - y | [
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def test _ single _ plot _ 05 ( self ) : inch _ per _ unit = 0. 5 x _ units = 4 y _ units = 4 left = 1 bottom = 1 width = 2 height = 2 figsize, coords = pt. make _ coordinates ( inch _ per _ unit, x _ units, y _ units, left, bottom, width, height ) self. assertequal ( figsize, ( 2, 2 ) ) self. assertequal ( coords, [ (... | [
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def parse _ rosettascript ( self, protocol _ string, starting _ pose = none ) : tag = rosetta. utility. tag. tag. create ( protocol _ string ) if starting _ pose is none : protocol = self. parse _ protocol _ tag ( tag ) else : protocol = self. parse _ protocol _ tag ( starting _ pose, tag ) return rosettascriptwrapper ... | [
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def set _ altitude _ cmd ( self, cmd ) : self. altitude _ cmd = cmd | [
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def get _ vocabs ( language ='eng ', stag _ type ='ud') : vocab _ types = ['words ','pos ','lemmas ','plemmas ','labels ','stags ','predicates'] vocabs = { } for vocab _ type in vocab _ types : if vocab _ type = ='stags': fn ='data / { } / vocab / stags. { }. txt '. format ( language, stag _ type ) else : fn ='data / {... | [
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def _ _ repr _ _ ( self ) : return f " { type ( self ). _ _ name _ _ } ( { self. locator! r } ) " | [
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def mergefromstring ( self, * args, * * kwargs ) : # real signature unknown pass | [
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def test _ batch _ redetect _ with _ one _ face ( self ) : for detector in self. detectors : with self. subtest ( detectortype = detector. detectortype ) : detection = detector. detectone ( image = vlimage _ one _ face ) redetect = detector. redetect ( images = [ imageforredetection ( image = vlimage _ one _ face, bbox... | [
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def _ new _ dataset _ with _ indices ( self, indices _ cache _ file _ name : optional [ str ] = none, indices _ buffer : optional [ pa. buffer ] = none, fingerprint : optional [ str ] = none, ) - > " dataset " : assert ( indices _ cache _ file _ name is not none or indices _ buffer is not none ), " at least one of indi... | [
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def _ _ contains _ _ ( self, k ) : return os. path. isfile ( k ) | [
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def get _ tile _ north _ neighbor ( self, tile ) : return self. _ get _ tile _ neighbor ( tile, " north " ) | [
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def get _ model ( ) : # define experts : each expert is simple linear model experts = [ dense ( 1, " linear " ) for _ in range ( n _ experts ) ] # mixture of linear experts mole = mixtureofexpertslayer ( expert _ layers = experts, add _ dropout = false ) # build model input _ layer = input ( shape = ( 1, ) ) output _ l... | [
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def get ( org _ id ) : try : # keep old response until ui is updated if ( request. args. get ('new ','false') ). lower ( )! ='true': return jsonify ( {'entities': affiliationservice. find _ visible _ affiliations _ by _ org _ id ( org _ id ) } ), http _ status. http _ 200 _ ok # get affiliation identifiers and the urls... | [
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def find _ machine _ state ( conn ) : try : verify _ db _ machine _ state ( conn ) # first make sure our db tables are all in order. result = r. db ('wanwipe'). table ('machine _ state'). get _ all ( get _ boot _ id ( ), index ='boot _ id'). run ( conn ) for document in result : # look over the returned documents. ther... | [
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def create _ dummy _ placement _ literal ( ) : value = placement _ literals. server type _ signature = computation _ types. placementtype ( ) return value, type _ signature | [
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def get _ all _ possible _ actions ( ) : return list ( range ( 0, len ( action _ lookup ) ) ) | [
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def _ _ init _ _ ( self, make, model, year ) : self. make = make self. model = model self. year = year self. odometer _ reading = 0 | [
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def frac ( dataframe, fraction ) : return dataframe. sample ( frac = fraction ) | [
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def double _ reflection _ method ( pts, r0 = ( 1, 0, 0 ) ) : pts = np. array ( pts ) r0 = norm ( np. array ( r0 ) ) vecs = pts [ 1 : ] - pts [ : - 1 ] t0 = vecs [ 0 ] normals = [ r0 ] for index, v1 in enumerate ( vecs [ : - 1 ] ) : c1 = v1. dot ( v1 ) rl = r0 - ( 2 / c1 ) * ( v1. dot ( r0 ) ) * v1 tl = t0 - ( 2 / c1 ) ... | [
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def test _ cancelling _ free _ class ( self ) : event _ with _ cost = baker. make _ recipe ('booking. future _ ev ', cost = 10 ) booking = baker. make _ recipe ('booking. booking ', user = self. user, event = event _ with _ cost ) booking. free _ class = true booking. save ( ) booking. confirm _ space ( ) self. assertt... | [
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def interp _ prop ( self, prop, psfcoords, imshape, compress = 1 ) : x, y = n. transpose ( psfcoords ) xi = x yi = y xo = n. arange ( 0. 0, round ( imshape [ 0 ] ), round ( compress ) ) yo = n. arange ( 0. 0, round ( imshape [ 1 ] ), round ( compress ) ) rgrid = nat. natgrid ( xi, yi, xo, yo ) prop _ int = rgrid. rgrd ... | [
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def _ upstream ( self ) - > list ['dataset'] : | [
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def insert _ value ( self, value, location ) : self. game _ mat [ location [ 0 ] ] [ location [ 1 ] ] = value | [
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def get ( self, context, key _ id, metadata _ only = false ) : if not key _ id : raise exception. keymanagererror ('key identifier not provided') resp = self. _ do _ http _ request ( self. _ session. get, self. _ get _ resource _ url ( key _ id ) ) if resp. status _ code = = requests. codes ['not _ found'] : raise exce... | [
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def getprojection ( self ) : return self. projection. cvalues ( ) | [
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def on _ epoch _ begin ( self, net, dataset _ train = none, dataset _ valid = none, * * kwargs ) : | [
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def enable _ proctitle _ on _ current ( ) : global _ enabled _ enabled = true | [
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def _ find _ num _ features ( conf, arguments ) : arguments. num _ features = 0 for roi _ type, type _ conf in conf ['roi _ options']. items ( ) : if type _ conf ['include'] : plus = type _ conf ['num _ bins'] if isinstance ( plus, list ) : plus = np. sum ( plus ) if roi _ type = = " quarter _ img " : plus * = 4 argume... | [
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def old _ format _ basis _ for _ cfour ( molrec, puream ) : text = [ ] for iat, elem in enumerate ( molrec ['elem'] ) : text. append ( " " " { } : cd _ { } " " ". format ( elem. upper ( ), iat + 1 ) ) text. append ('' ) text. append ('' ) text ='\ n '. join ( text ) options = collections. defaultdict ( lambda : collect... | [
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def union ( f, g ) : res = f. copy ( ) res. disjunct ( g ) res. minimize ( ) return res | [
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def get _ point _ array ( poly, l _ dim = none ) : try : pvw = pv. wrap ( poly ) except : pvw = poly conn = pvw. extract _ cells ( 0 ). n _ points a _ points = np. zeros ( ( pvw. n _ cells, conn, 3 ) ) for i in range ( pvw. n _ cells ) : points _ cell = pvw. extract _ cells ( i ). points for j in range ( conn ) : a _ p... | [
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def parse _ file ( self, the _ file ) : # packets come in out of order, order them init _ packets = [ ] for line in the _ file : p = packet ( ) p. parse ( line ) init _ packets. append ( ( p. time, p ) ) init _ packets. sort ( lambda x, y : int ( 10000 * ( x [ 0 ] - y [ 0 ] ) ) ) self. packets = init _ packets | [
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def get _ random _ opinion ( ) : while true : r1 = mpmath. rand ( ) r2 = mpmath. rand ( ) if r1 + r2 < 1 : return opinion ( r1, r2, mpmath. mpf ( " 1 " ) - ( r1 + r2 ), " 1 / 2 " ) | [
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0.2588793933391571,
0.0055151442065835,
-1.1889625787734985,
-0.785638093948364... |
def getstartindex ( self ) : return _ itkimageserieswriterpython. itkimageserieswriteriul3iul2 _ getstartindex ( self ) | [
0.002529016463086009,
-0.18150436878204346,
0.44055256247520447,
0.223633274435997,
-0.19569753110408783,
0.9290242791175842,
-0.204093798995018,
0.6619400382041931,
0.21564099192619324,
-0.4396352171897888,
-0.9200000166893005,
1.0800169706344604,
-0.14953488111495972,
-1.2803508043289185... |
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