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def train _ classifier _ svm ( self ) : if ( self. classifier _ type = ='svm') : try : c = self. classifier _ params ['c'] except : if'c'in self. cval _ param : c = self. cval _ param ['c'] else : c = 1. 0 print ('c was not specified') try : gamma = self. classifier _ params ['gamma'] except : if'gamma'in self. cval _ ... | [
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def split _ path ( path ) : dir _ = path [ : path. rfind ( " / " ) + 1 ] filename = path [ path. rfind ( " / " ) + 1 : ] return ( dir _, filename ) | [
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def valid _ for _ scope ( self, url ) : if isinstance ( url, ( str, unicode ) ) : url = atom. url. parse _ url ( url ) for scope in self. scopes : if scope = = atom. token _ store. scope _ all : return true if isinstance ( scope, ( str, unicode ) ) : scope = atom. url. parse _ url ( scope ) if scope = = url : return tr... | [
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def best _ n _ long _ key ( cipher _ text, reverse _ caesars, key _ len ) : # array to store the best two keys for each position key _ possibilities = [ [ ] for _ in range ( key _ len ) ] # for each position in the key for key _ index in range ( key _ len ) : # store the best average score and keys best _ average = flo... | [
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async def get _ bert _ result ( self ) - > getbertresultresponse : request = getbertresultrequest ( ) return await self. _ unary _ unary ( " / gnoi. diag. diag / getbertresult ", request, getbertresultresponse ) | [
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def build _ model ( input _ shape, target _ size, conv _ size = 16, kernel _ size = 2, n _ conv _ layers = 5, fc1 _ size = 128, fc2 _ size = 64, hidden _ activation ='leakyrelu ', pooling _ type ='maxpool3d ', dropout = 0 ) : conv _ args = dict ( kernel _ size = kernel _ size, padding ='same') hidden _ activation = get... | [
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def test _ portfolio _ to _ dict _ for _ two _ holdings ( ) : start _ dt = pd. timestamp ('2017 - 10 - 05 08 : 00 : 00 ', tz = pytz. utc ) asset1 _ dt = pd. timestamp ('2017 - 10 - 06 08 : 00 : 00 ', tz = pytz. utc ) asset2 _ dt = pd. timestamp ('2017 - 10 - 07 08 : 00 : 00 ', tz = pytz. utc ) update _ dt = pd. timesta... | [
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def start _ new _ level ( bullets, ai _ settings, stats, sb, screen, aliens, ship ) : bullets. empty ( ) ai _ settings. speedup _ game ( ) # increase level number stats. level + = 1 sb. prep _ level ( ) create _ fleet ( ai _ settings, screen, aliens, ship ) | [
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def _ overridebinaryoperatorhelper ( func, op _ name, clazz _ object = tensor _ lib. tensor ) : @ traceback _ utils. filter _ traceback def binary _ op _ wrapper ( x, y ) : with ops. name _ scope ( none, op _ name, [ x, y ] ) as name : try : # force _ same _ dtype = false to preserve existing tf behavior # todo ( b / 1... | [
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def extract _ models ( ) : zip _ ref = zipfile. zipfile ('models. zip ','r') zip _ ref. extractall ( ) zip _ ref. close ( ) | [
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def instruments ( request, description, instruments, search _ form, message = none ) : orderings = {'c':'location _ _ city _ _ name ','l':'location _ _ name ','r':'location _ _ city _ _ region _ _ name ','s':'- stops ','k':'keyboards ', } if request. get. get ('o') in orderings : instruments = instruments. order _ by (... | [
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def entity _ properties ( self, entity _ properties ) : self. _ entity _ properties = entity _ properties | [
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def encountered _ all ( self ) : for value in self. _ _ encountered _ word : if not value : return false return true | [
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def cancelclone ( ctx, # mandatory main parameter cloneid ) : " " " system completes and removes the operation's associated asynchandle. " " " cli _ utils. establish _ connection ( ctx ) ctx. logger. info ( " " " : " " " " " " cloneid = " " " + str ( cloneid ) + " " " ; " " " + " " ) try : _ cancelcloneresult = ctx. el... | [
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def inc _ turn ( self ) : self. _ current _ turn + = 1 | [
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def invalidate _ user ( usergroup, email ) : pipe = r. pipeline ( ) permissions = permission. objects ( user _ group = usergroup ) for permission in permissions : sensors _ list = r. smembers ('sensorgroup : { } '. format ( permission ['sensor _ group'] ) ) for sensor in sensors _ list : pipe. hdel ( sensor, email ) pi... | [
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def rms ( samples ) : return torch. sqrt ( ( samples * * 2 ). mean ( ) ) | [
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def getmaterialfromsg ( shadinggroup ) : if cmds. nodetype ( shadinggroup ) = ='shadingengine'and cmds. connectioninfo ( shadinggroup + '. surfaceshader ', isdestination = true ) : return cmds. connectioninfo ( shadinggroup + '. surfaceshader ', sourcefromdestination = true ). split ( '.') [ 0 ] # faster than cmds. lis... | [
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def get _ accuracies ( self, as _ np = false ) - > union [ list, ndarray ] : if as _ np : return np. array ( self. _ accuracy ) return self. _ accuracy | [
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def post ( self, request, * args, * * kwargs ) : if not api : return httpresponse ( reason = " incomplete or incorrect bot setup " ) valid, reason = verify _ signature ( request ) if not valid : return httpresponse ( status = 401, reason = reason ) body = json. loads ( request. body ) if body. get ( " resource " ) not ... | [
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def export ( self, * * kwargs ) : savepath = kwargs. get ('savepath') import os, datetime import lasio # create a new empty las file and export to the new one las _ file = lasio. lasfile ( ) las _ file. set _ data ( self. df ) # update curve unit and its description for curve _ 1, curve _ 2 in zip ( las _ file. curves,... | [
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async def test _ caught _ channel _ exception ( connect _ to _ broker ) : exchange _ name ='testcase _ exchange'routing _ key ='testcase _ routing _ key'async with await connect _ to _ broker ( ) as connection : async with connection. channel ( ) as channel : # without this channel. publish won't raise an exception, in... | [
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def find _ best _ path ( self, u, v ) : if self. next [ self. list _ vertices. index ( u ) ] [ self. list _ vertices. index ( v ) ] is none : return [ ] path = [ ] path. append ( u ) while u! = v : u = self. next [ self. list _ vertices. index ( u ) ] [ self. list _ vertices. index ( v ) ] path. append ( u ) return pat... | [
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def find _ id _ from _ login ( self, login, platform ='github') : idsql = s. sql. text ( " " " select cntrb _ id from contributors where cntrb _ login ='{ }'\ and lower ( data _ source ) ='{ } api'" " ". format ( login, platform ) ) rs = pd. read _ sql ( idsql, self. db, params = { } ) data _ list = [ list ( row ) for ... | [
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def listen _ subreddit ( sub ) : global corpus while true : try : for comment in sub. stream. comments ( ) : utts = comment _ to _ utts ( comment ) safe _ add _ utterances ( utts ) except prawcore. exceptions. prawcoreexception as e : print ( f'got error { e } from subreddit stream ; restarting stream') | [
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def itksubtractconstantfromimagefilterif2dif2 _ superclass _ cast ( * args ) : return _ itksubtractconstantfromimagefilterpython. itksubtractconstantfromimagefilterif2dif2 _ superclass _ cast ( * args ) | [
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def get _ class ( context, field, obj = none ) : view = context ['view'] return view. lookup _ field _ class ( field, obj, " field _ " + field ) | [
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def _ print _ step ( execution _ log, step ) : assert isinstance ( step, step ) execution _ log. write _ line ('executing command [') for arg in step. cmd : execution _ log. write _ line ('% r,'% arg ) execution _ log. write _ line (']') # apparently some recipes ( i think mostly test recipes ) pass commands whose # ar... | [
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def download ( self, s3 _ bucket, document _ s3 _ path, version _ id = none ) : try : s3 = boto3. resource ( " s3 ", region _ name = self. _ region, * * self. _ credentials ) if version _ id : instances _ file _ content = s3. objectversion ( s3 _ bucket, document _ s3 _ path, version _ id ). get ( ) [ " body " ]. read ... | [
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def form _ valid ( self, form ) : self. object = form. save ( ) aux _ map = self. object. map _ related. path. split ( ", " ) base _ map = [ aux _ map [ k : k + 10 ] for k in range ( 0, len ( aux _ map ), 10 ) ] pos _ init = ( self. object. map _ related. pos _ init _ y, self. object. map _ related. pos _ init _ x, ) p... | [
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def pick _ projects ( directory ) : ext = '. json'subs = [ x [ 0 ] for x in os. walk ( directory ) ] projects = [ ] for sub in subs : files = [ ] for f in os. listdir ( sub ) : if f. endswith ( ext ) : files. append ( f ) if len ( files ) > 0 : sizes = [ os. stat ( os. path. join ( sub, pick ) ). st _ size for pick in ... | [
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def len _ lat _ lon ( lat ) : # constants for fourier series approximation a1 = 111132. 92 a2 = - 559. 82 a3 = 1. 175 a4 = - 0. 0023 b1 = 111412. 84 b2 = - 93. 5 b3 = 0. 118 lat = math. radians ( lat ) # fourier seriers that approximates lengths of one degree of lat and long lat _ len = ( a1 + ( a2 * math. cos ( 2 * la... | [
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def email ( self ) : return self. _ email | [
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def cluster _ request ( self, cluster _ request ) : self. _ cluster _ request = cluster _ request | [
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def client _ manager ( * args, * * kwargs ) : client = torvendclient ( * args, * * kwargs ) try : yield client finally : del client | [
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def _ get _ lat _ long ( self ) - > tuple [ optional [ float ], optional [ float ] ] : lat = none long = none if self. native _ location _ supported : long = self. native _ longitude lat = self. native _ latitude else : long = self. longitude lat = self. latitude return lat, long | [
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def new ( * args, * * kargs ) : obj = itksubtractconstantfromimagefilteriuc3diuc3 _ superclass. _ _ new _ orig _ _ ( ) import itktemplate itktemplate. new ( obj, * args, * * kargs ) return obj | [
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def test _ atomic _ language _ max _ length _ 4 _ nistxml _ sv _ iv _ atomic _ language _ max _ length _ 5 _ 3 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / language / schema + instance / nistschema - sv - iv - atomic - language - maxlength - 5. xsd ", instance = " nistda... | [
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def platform _ variant ( self, platform _ variant ) : self. _ platform _ variant = platform _ variant | [
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def active _ route _ destination ( self ) - > optional [ str ] : if " active _ route _ destination " in self. _ vehicle _ data. get ( " drive _ state ", { } ) : return self. _ vehicle _ data. get ( " drive _ state ", { } ). get ( " active _ route _ destination " ) return none | [
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def first _ repeated ( input _ list ) : for i in range ( len ( input _ list ) ) : for j in range ( i + 1, len ( input _ list ) ) : if input _ list [ i ] = = input _ list [ j ] : return input _ list [ i ] | [
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def full _ cheb _ approximate ( f, a, b, deg, tol = 1. e - 8 ) : dim = len ( a ) degs = np. array ( [ deg ] * dim ) coeff = interval _ approximate _ nd ( f, a, b, degs ) coeff2 = interval _ approximate _ nd ( f, a, b, degs * 2 ) coeff2 [ slice _ top ( coeff ) ] - = coeff clean _ zeros _ from _ matrix ( coeff2, 1. e - 1... | [
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def short _ units ( self ) : expanded = self. expand _ units ( ) return expanded. lhs ( ). subs ( short _ unit _ symbols ) \ = = expanded. rhs ( ). subs ( short _ unit _ symbols ) | [
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def evaluation _ loop ( self ) : assert self. eval _ loader is not none, " evaluation loader is not specified " # setup progressbar pbar = miscutils. gen _ pbar ( max _ value = len ( self. eval _ loader ), msg = self. eval _ mess ) with torch. no _ grad ( ) : for i, ( samples, labels ) in enumerate ( self. eval _ loade... | [
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def get _ runnable _ scenarios ( self ) : return [ x [ " scenarioid " ] for x in self. get _ all _ actions ( ) if x [ " type " ] = = " scenario _ run " ] | [
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def tally _ overhead ( self, switch, config ) : if switch in self. current _ abstract _ rules : old _ size = self. current _ abstract _ rules [ switch ] else : old _ size = 0 if switch in self. future _ abstract _ rules : new _ size = self. future _ abstract _ rules [ switch ] else : new _ size = 0 base _ size = max ( ... | [
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def namedinput ( self, rowreader, shortrowsallowed = false, headingpolicy = none ) : return self. _ _ class _ _. _ namedinput ( self, rowreader, shortrowsallowed, headingpolicy ) | [
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def build _ model ( self ) : hidden1 _ units = 1000 with tf. variable _ scope ('hidden1') : weights = self. init _ weights ( [ self. height * self. width * self. channels, hidden1 _ units ] ) biases = self. init _ bias ( [ hidden1 _ units ] ) hidden1 = tf. nn. relu ( tf. matmul ( self. images _ placeholder, weights ) +... | [
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def clean _ str _ simple _ version ( string, dataset ) : if dataset = ='20ng': # remove emails # string = re. sub ('\ s * @ \ s * \ s? ','', string ) # remove new line characters string = re. sub ('\ s + ','', string ) string = re. sub ( r " \ \ ", " ", string ) string = re. sub ( r " \'", " ", string ) string = re. su... | [
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def feedforward ( this ) : lastindex = len ( this. network ) - 1 # set the output for every layer other than the input for i in range ( 1, len ( this. network ) ) : # the weight from the previous layer to this layer, the output of # the previous layer and the bias that is points from the # previous layer to this layer ... | [
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def predict ( self, text : union [ list [ sentence ], sentence, list [ str ], str ], mini _ batch _ size : int = 32, * * kwargs, ) - > list [ sentence ] : raise notimplementederror ( " please implement this method " ) | [
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def get ( self, request ) : form = addreservation return render ( request, " add _ reservation. html ", { " form " : form } ) | [
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def create _ group ( groupname = none, userpoolid = none, description = none, rolearn = none, precedence = none ) : pass | [
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def validate _ date ( date, format = " % y - % m - % d " ) : try : datetime. strptime ( date, format ) except : return false return true | [
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def test _ invalid _ client _ key ( self, key ) : assert not signaturevalidator ( self. lti _ consumer ). check _ client _ key ( key ) | [
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def get _ completed _ puts ( backend _ object ) : # avoiding a circular dependency from jdma _ control. models import migrationrequest, migration, storagequota # get the storage id storage _ id = storagequota. get _ storage _ index ( " ftp " ) # get the decrypt key key = aes _ tools. aes _ read _ key ( settings. encryp... | [
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def create _ recipe _ plan ( self ) : personal _ recipe _ contents = self. input _ options. get _ item ('personal _ recipe ','personal _ recipe _ list') setup _ obj = recipesetup ( recipefile = personal _ recipe _ contents, inputoptions = self. input _ options, structure = self. input _ options. get _ item ('structure ... | [
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def get _ folder _ contents ( self, folder, limit = 100 ) : return ( folder. get _ items ( limit, offset = 0 ) ) | [
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def get _ peer _ statistic ( peer _ ip ) : return flask. jsonify ( api _ utils. get _ peer _ msg _ statistic ( peer _ ip ) ) | [
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def get _ connected _ switches ( self, branch, reversed _ direction = false ) : switch = self. _ small _ tt. branch _ endpoint ( branch ) if reversed _ direction : yield - switch else : yield switch for br in self. collapsed _ branches _ from _ small _ switch ( switch ) : for sw in self. get _ connected _ switches ( br... | [
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def get _ list _ of _ commits ( out ) : return get _ list _ of _ each _ commit ( get _ commits _ for _ all _ repos ( out ) ) | [
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def unsort ( tt : torch. tensor ) - > torch. tensor : return tt [ unsorted _ idx ] | [
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def test _ extend _ keyword ( self ) : actual = extend _ keyword ('train ', 16 ) expected ='traintraintraint'self. assertequal ( actual, expected ) | [
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def values _ sanity _ check ( values ) : assert values assert values [ 0 ] = ='('# assertions have not been raised return true | [
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def bin _ concrete _ sample ( a, temp, eps = 1e - 8 ) : u = tf. random. uniform ( tf. shape ( a ), minval = 0., maxval = 1. ) l = tf. math. log ( u + eps ) - tf. math. log ( 1. - u + eps ) x = tf. nn. sigmoid ( ( l + tf. math. log ( a ) ) / temp ) return tf. clip _ by _ value ( x, 1e - 4, 1. - 1e - 4 ) | [
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async def update _ status ( self ) : if self. _ operation. async _ url : self. _ pipeline _ response = await self. request _ status ( self. _ operation. async _ url ) self. _ operation. set _ async _ url _ if _ present ( self. _ pipeline _ response. http _ response ) self. _ operation. get _ status _ from _ async ( sel... | [
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def routing _ path _ to _ edge ( edge, shortest _ set = none ) : data = routing _ path _ to _ node ( edge. from _ node, shortest _ set ) if data : data. append ( edge ) data. append ( edge. to _ node ) # print ( data ) return data | [
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def sign ( x, name = none ) : x = ops. convert _ to _ tensor ( x ) if x. dtype. is _ complex : return gen _ math _ ops. div _ no _ nan ( x, cast ( gen _ math _ ops. complex _ abs ( x, tout = dtypes. float32 if x. dtype = = dtypes. complex64 else dtypes. float64 ), dtype = x. dtype ), name = name ) return gen _ math _ o... | [
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def update ( self ) : try : url ='{ } / arpltninforinqiresvc / getmsrstnacctorltmmesurednsty?'\'& pageno = 1 & numofrows = 1 & ver = 1. 3 & dataterm = month'\'& servicekey = { } & stationname = { } & returntype = json'url = url. format ( air _ korea _ api _ url, self. service _ key, self. station _ name ) response = re... | [
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def update _ user _ attributes ( userattributes = none, accesstoken = none ) : pass | [
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def publishangle ( self ) : arrow _ marker = make _ marker ( self. target _ angle ) self. arrow. publish ( arrow _ marker ) | [
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def setup _ argparse ( self, argument _ parser ) : profile = self def get _ files ( pattern ) : files _ to _ check = [ ] # use glob. glob to accept *. ttf # but perform a hacky fixup to workaround the square - brackets naming scheme # currently in use for varfonts in google fonts... if']. ttf'in pattern : pattern = " *... | [
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def paper _ formatter ( paper : paper ) - > dict : if not paper : raise typeerror percentile = none quartile = none try : percentile = next ( filter ( lambda m : m. type = ='percentile'and m. year = = paper. get _ year ( ), paper. source. metrics ), none ) # possible typeerror, attributeerror quartile = f'q { ( 100 - p... | [
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def test _ calc _ neg _ log _ likelihood _ and _ neg _ gradient ( self ) : # get the gradient from the function being tested args = [ self. fake _ betas _ ext, self. fake _ design _ 3d, self. alternative _ ids, self. fake _ rows _ to _ obs, self. fake _ rows _ to _ alts, self. fake _ rows _ to _ mixers, self. choice _ ... | [
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def add _ params _ to _ uri ( uri, params, fragment = false ) : sch, net, path, par, query, fra = urlparse. urlparse ( uri ) if fragment : fra = add _ params _ to _ qs ( query, params ) else : query = add _ params _ to _ qs ( query, params ) return urlparse. urlunparse ( ( sch, net, path, par, query, fra ) ) | [
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def amenities ( self ) : amenities = [ ] objs = models. storage. all ( models. amenity. amenity ) for key in objs : if objs [ key ]. place _ id = = self. id : amenities. append ( objs [ key ] ) return amenities def _ _ init _ _ ( self, * args, * * kwargs ) : " " " initializes place " " " super ( ). _ _ init _ _ ( * arg... | [
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def uploadinformation ( self, pagetitle : str, eliteid : str, payload : str ) : eliteurl = " https : / / www2. unil. ch / elitessuisses / index. php? page = detailperso & ididentite = { } ". format ( eliteid ) fulltitle = " { } ( { } ) ". format ( pagetitle, eliteid ) # ask for the page ( if any ) with title < fulltitl... | [
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def recursive _ delete ( self, engine _ path, path ) : for secret in self. recursive _ list ( engine _ path, path ) : self. delete ( engine _ path, secret ) | [
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def test _ atomic _ any _ uri _ max _ length _ 3 _ nistxml _ sv _ iv _ atomic _ any _ uri _ max _ length _ 4 _ 4 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / anyuri / schema + instance / nistschema - sv - iv - atomic - anyuri - maxlength - 4. xsd ", instance = " nistdata... | [
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def reduce _ one _ dimension ( self ) : if self. domains [ " secondary " ] = = [ ] : return self. orphans [ 0 ] elif self. domains [ " tertiary " ] = = [ ] : return primarybroadcasttoedges ( self. orphans [ 0 ], self. domains [ " secondary " ] ) else : return fullbroadcasttoedges ( self. orphans [ 0 ], broadcast _ doma... | [
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def getdiagnosticlog ( self, typeid, deviceid, logid ) : devicediagnostics = apiclient. devicediaglogslogid % ( self. host, typeid, deviceid, logid ) r = requests. get ( devicediagnostics, auth = self. credentials, verify = self. verify ) status = r. status _ code if status = = 200 : self. logger. debug ( " diagnostic ... | [
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def loadsslist ( self, name ) : try : self. sslistbox. items. clear ( ) cmd ='" % s " showvminfo " % s "'% ( self. vboxmanagetextbox. text, name ) cmdoutput = subprocess. check _ output ( cmd ) found _ snapshot _ string = false for line in str. splitlines ( cmdoutput ) : if line. strip ( ) = = " " : continue if re. mat... | [
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def process _ pipeline ( xbar ) : for host in xbar. hosts : # go downstream and change the hreqpass / depth at the first instance. # if it is async, skip. # if socket 1n, # if pipeline true and bypass false, set hpass to 0 # if pipeline is false, set depth to 0 # if socket m1, find position of the host and follow proce... | [
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def test _ atomic _ hex _ binary _ enumeration _ nistxml _ sv _ iv _ atomic _ hex _ binary _ enumeration _ 1 _ 2 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / hexbinary / schema + instance / nistschema - sv - iv - atomic - hexbinary - enumeration - 1. xsd ", instance = " ... | [
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async def fightuser ( self, account : fighter ) - > fightme : person = fightme ( * tuple ( account. _ _ dict _ _. values ( ) ) ) person. instantize ( ) return person | [
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def get _ random _ location ( width, height, obs ) : global obs _ size max _ x = width - obs _ size - 1 max _ y = height - obs _ size - 1 overlap = true while overlap : x = random. randint ( 0, max _ x ) y = random. randint ( 0, max _ y ) overlap = does _ overlap ( x, y, obs _ size, obs _ size, obs ) return {'species _... | [
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def get ( self, request, format = none ) : apiview = ['usamos metodos http como funciones ( get, post, patch, put, delete ) ','es similar a una vista tradicional de django ','da mayor control sobre la lofica de la aplicacion ','esta mapeado manualmente a los urls'] return response ( {'message':'hello ','apiview': apivi... | [
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def _ get _ zero _ intersection _ array ( self ) : temp = self. _ paths [ :, 0 ] return np. zeros ( temp. shape [ 0 ], dtype = temp. dtype ) | [
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def _ _ init _ _ ( self, points, search _ range ) : self. ndim = len ( search _ range ) self. search _ range = np. atleast _ 2d ( search _ range ) if not isinstance ( points, list ) : points = list ( points ) self. points = points self. set _ predictor ( none ) self. rebuild ( ) | [
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def onredrawevent ( self, evt ) : # print " update " # size = self. staticbit. clientsize size = self. pnl. clientsize self. streamthread. lock ( ) image = wx. imagefrombitmap ( evt. bmp ) self. streamthread. unlock ( ) image = image. scale ( size [ 0 ], size [ 1 ], wx. image _ quality _ high ) bmp = wx. bitmapfromimag... | [
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def getdefaultente ( self ) : portal _ properties = gettoolbyname ( self, " portal _ properties " ) redturtle _ bandi _ settings = getattr ( portal _ properties, " redturtle _ bandi _ settings ", none ) if redturtle _ bandi _ settings : return redturtle _ bandi _ settings. getproperty ( " default _ ente ", " " ) return... | [
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def set _ config _ parameter ( self, sim _ name, param, value, target _ sim _ name ) : if ( target _ sim _ name = = self. fwk _ sim _ name ) : # apply to all simulations target _ sims = self. sim _ map. keys ( ) else : target _ sims = [ target _ sim _ name ] for sim _ name in target _ sims : self. fwk. debug ('setting ... | [
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def test _ main ( self, mock _ web ) : main ( ) mock _ web. run _ app. assert _ called ( ) | [
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def test _ left _ channel _ 1 ( ) : assert numpy. array _ equal ( mono _ 22050 _ 16bits. left _ channel ( ), mono _ 22050 _ 16bits. data ) | [
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def sum67 ( nums ) : # after _ 6 = false # res = 0 # for i in nums : # if i = = 6 : # after _ 6 = true # elif i = = 7 and after _ 6 is true : # after _ 6 = false # elif after _ 6 is false : # res + = i # return res total = 0 add = true for num in nums : if num = = 6 and add : add = false continue if num = = 7 and not a... | [
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def _ parse _ episodes _ list ( self, soup ) : ep _ list = soup. find ('div ', style ='width : 537px ; height : 250px ; overflow - y : auto ;') seasons = ordereddict ( ) season _ number ='1'ep _ number = 1 for i in ep _ list : if isinstance ( i, tag ) and i. name = ='div': season _ number = re. search ('season ( \ d + ... | [
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def _ create _ cert _ files ( self ) : self. _ find _ dirs _ if _ needed ( ) cert _ path, key _ path = self. _ get _ tls _ paths ( ) cert _ data = open ( cert _ path ). read ( ). strip ( ) key _ data = open ( key _ path ). read ( ). strip ( ) util. safely _ remove ( self. _ server _ cert _ path ) with util. safe _ open... | [
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def circle _ detection ( image ) : # create background image for drawing the detected circle output = image. copy ( ) # obtain image dimension img _ height, img _ width, n _ channels = image. shape # backup input image circle _ detection _ img = image. copy ( ) # change image from rgb to gray scale gray = cv2. cvtcolor... | [
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-0.3178178668022156,
0.8267073631286621,
-0.24907521903514862,
0.08153044432401657,
-0.5342282652854919,
0.4894368350505829,
-0.6119922995567322,
0.3214220106601715,
0.5799881219863892,
0.42000487446784973,
0.6369598507881165,
0.10429234802722931,
0.4873785674571991,
... |
def parse _ list ( tokens ) : lst = [ ] while tokens [ 0 ]! =')': lst. append ( parse _ tokens ( tokens ) ) tokens. pop ( 0 ) return lst | [
0.05433650314807892,
-0.39980024099349976,
0.41435521841049194,
0.26190924644470215,
0.2197963446378708,
-0.44109243154525757,
-1.2628792524337769,
0.7566138505935669,
0.8719916939735413,
0.3385363817214966,
-1.3220375776290894,
-0.13088184595108032,
-0.49725303053855896,
1.162218332290649... |
def fail _ workflow ( self, reason, details ) : self. workflow _ state. completed = true self. decisions. append ( {'decisiontype':'failworkflowexecution ','failworkflowexecutiondecisionattributes': {'reason': reason,'details': details [ : 32768 ] } } ) | [
0.0808897614479065,
0.04175565764307976,
0.21630744636058807,
-0.39372721314430237,
1.0988686084747314,
-0.15393862128257751,
-0.04468093812465668,
-0.042872101068496704,
-0.1688876748085022,
-0.13988009095191956,
-0.10638613998889923,
0.5993626713752747,
-0.29477301239967346,
0.9521674513... |
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