text stringlengths 25 2.19k | embedding listlengths 768 768 |
|---|---|
def test _ atomic _ language _ length _ 3 _ nistxml _ sv _ iv _ atomic _ language _ length _ 4 _ 3 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / language / schema + instance / nistschema - sv - iv - atomic - language - length - 4. xsd ", instance = " nistdata / atomic / l... | [
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def get _ 24hr _ stats ( self, symbol ) : return self. get _ request ('/ api / v1 / market / stats /'+ symbol ) | [
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def put ( self, key, item ) : if key and item : self. cache _ data [ key ] = item | [
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def roc ( self ) : self. printstatus ( ) print " " " # reference : families = % s, domains = % s, evidence > = % i, overlap > = % i # roc - curve # x : tp # y : tp / t # sorted by size x \ ty " " " % \ ( self. mtablenamereferencefamilies, self. mtablenamereferencedomains, self. mannotationminevidence, self. mannotation... | [
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def check _ for _ error ( self ) - > list [ str ] : raise notimplementederror ( ) | [
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def cleanup ( benchmark _ spec ) : mnist _ benchmark. cleanup ( benchmark _ spec ) | [
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def get _ lm _ records ( lmfilename ) : with open ( lmfilename ) as lmfile : curr _ record = [ ] for line in lmfile : line = line. strip ( ) if line = = " $ $ $ $ " : # record separator result ='\ n '. join ( curr _ record ) result = result. strip ( ) if len ( result ) > 0 : yield result curr _ record = [ ] else : curr... | [
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def process _ twenty _ product _ layout _ page ( ocr, page _ image ) : yield from marker _ parser ( [ ( page _ image, ocr ) ], find _ markers = find _ markers, text _ region = ( - 0. 003, - 0. 025, 0. 18, 0. 06 ), image _ region = ( - 0. 003, - 0. 18, 0. 18, 0. 16 ), extract _ product _ from _ text = extract _ product ... | [
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def _ _ call _ _ ( self, x, is _ training = true, ext _ wts = none, reuse = none, * * kwargs ) : x _ = tf. reshape ( x, [ - 1, self. config. height * self. config. width * self. config. num _ channel ] ) return x _ | [
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def get _ tulpe ( self ) : liste _ joueur _ a = [ ] liste _ joueur _ b = [ ] tuple = ( ) liste _ joueur _ a = self. joueur _ a, self. score _ joueur _ a liste _ joueur _ b = self. joueur _ b, self. score _ joueur _ b tuple = liste _ joueur _ a, liste _ joueur _ b return tuple | [
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def voluntary _ rebalance ( self, day, taxes, years _ remaining ) : return self. rebalance ( day, taxes, self. personal _ max _ margin _ to _ assets _ ratio ( years _ remaining ), true ) | [
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def add ( self, f1, f2 ) : a, b = f1 c, d = f2 num = a * d + b * c denum = b * d factor = self. gcd ( num, denum ) return ( num / / factor, denum / / factor ) | [
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def _ send _ custom _ message ( self, message ) : self. _ sender. send ( ( sent, message ) ) | [
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def id _ list ( response, base _ url ) : con = sqlite3. connect ( " testdb. db " ) # open database cur = con. cursor ( ) vac _ list = response. json ( ) [ " items " ] items = [ ] for i in vac _ list : items. append ( i [ " id " ] ) sql ='insert into calendar ( id, data ) values ( % d, " % s " ) ;'% ( int ( i [ " id " ]... | [
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def run ( ) - > none : global star _ cnt print ( " data filter process is started " ) inp = in _ out. get _ in ( ) start _ time = time. time ( ) table = [ ] res = in _ out. read _ store ( table, config ['default'] ['file _ name'], inp. ra, inp. dec, inp. fov _ h, inp. fov _ v ) table = res [ 0 ] star _ cnt = res [ 1 ] ... | [
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def _ zeros _ like _ scalar ( x ) : if isinstance ( x, int ) : return 0 return 0. | [
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def lookups ( self ) : return extract _ lookups ( self. value ) | [
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def is _ connected ( self ) - > bool : return self. _ device is not none # pytype : disable = attribute - error | [
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def test _ atomic _ base64 _ binary _ white _ space _ nistxml _ sv _ iv _ atomic _ base64 _ binary _ white _ space _ 1 _ 1 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / base64binary / schema + instance / nistschema - sv - iv - atomic - base64binary - whitespace - 1. xsd "... | [
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async def list _ products _ as _ end _ user _ async ( self, request : servicecatalog _ 20210901 _ models. listproductsasenduserrequest, ) - > servicecatalog _ 20210901 _ models. listproductsasenduserresponse : runtime = util _ models. runtimeoptions ( ) return await self. list _ products _ as _ end _ user _ with _ opti... | [
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def callback ( _ locals, _ globals ) : global num _ update, best _ mean _ reward # process every 1000 steps if ( num _ update + 1 ) % 1000 = = 0 : # get the result array _, y = ts2xy ( load _ results ( log _ dir ),'timesteps') if len ( y ) > 0 : # save the model if best reward is gained mean _ reward = np. mean ( y [ -... | [
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def get _ news ( api _ keys : dict, location : dict ) - > list : global old _ headlines # declares list of headlines to be displayed. headlines = [ ] # gets latest news using the news api. news _ key = api _ keys [ " news " ] country = location [ " country " ] news _ api = ( " https : / / newsapi. org / v2 / top - head... | [
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def types ( self ) - > tuple [ str,... ] : return self. _ _ incl _ pos | [
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def test _ moves _ urllib _ request _ http ( self ) : import future. moves. urllib. request as urllib _ request from pprint import pprint url ='http : / / python - future. org'r = urllib _ request. urlopen ( url ) data = r. read ( ) self. asserttrue ( b'< / html >'in data ) | [
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def clearselection ( self ) : for line in self. selectlines : self. scene ( ). removeitem ( line ) | [
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def ifvisit ( self, id ) : l, r = - 1, len ( self. visited ) while l + 1! = r : mid = ( l + r ) / / 2 if self. visited [ mid ] = = id : print ( mid ) return - 2 else : if id < self. visited [ mid ] : r = mid else : l = mid return l | [
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def from _ assertion ( cls, assertion _ rdf : rdflib. graph, introduces _ concept : rdflib. term. bnode = none, derived _ from = none, assertion _ attributed _ to = none, attribute _ assertion _ to _ profile : bool = false ) : if assertion _ attributed _ to and attribute _ assertion _ to _ profile : raise valueerror ('... | [
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def findelement ( driver, selector, timeoutinseconds ) : locator, objectstring = sorted ( selector. items ( ) ) [ 0 ] if timeoutinseconds > 0 : waiter = webdriverwait ( driver, timeoutinseconds ) try : return waiter. until ( lambda d : d. find _ element ( locator, objectstring ), f'cannot find web element ( { locator }... | [
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def _ _ tablename _ _ ( cls ) : return cls. _ _ name _ _. lower ( ) | [
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def adddressedpbh ( body, dminds, pbhind, ndm, x0, v0 ) : # check that the indices'inds'are consistent # with the number of dm particles if ( len ( dminds )! = ndm ) : print " error in pbh. adddressedpbh : number of indices does not match number of particles... " # generate the mass profile print " generating mass prof... | [
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def img2img _ transformer2d _ n103 ( ) : hparams = img2img _ transformer2d _ base ( ) hparams. batch _ size = 1 hparams. num _ decoder _ layers = 12 hparams. num _ encoder _ layers = 6 hparams. query _ shape = ( 8, 32 ) hparams. memory _ flange = ( 8, 64 ) hparams. layer _ prepostprocess _ dropout = 0. 1 return hparams | [
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def get _ osm ( tag ) : query = lambda rel _ type : api. query ( " " " ( { } ( { }, { }, { }, { } ) [ { } ] ; ) ; (. _ ; > ; ) ; out ; " " ". format ( rel _ type, bbox [ 1 ], bbox [ 0 ], bbox [ 3 ], bbox [ 2 ], tag ) ) def query _ rels ( ids ) : while true : try : return api. query ( " " " relation ( { } ) ; (. _ ; > ;... | [
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def _ get _ plaintext _ contests ( compact _ ballot : compactplaintextballot, internal _ manifest : internalmanifest ) - > list [ plaintextballotcontest ] : index = 0 ballot _ style _ contests = _ get _ ballot _ style _ contests ( compact _ ballot. style _ id, internal _ manifest ) contests : list [ plaintextballotcont... | [
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def to _ csv ( self, path : pathlib. path ) : common _ df. write _ csv ( self. data, path, structlog. get _ logger ( ), self. common _ index _ fields ) if self. provenance is not none : provenance _ path = str ( path ). replace ( ". csv ", " - provenance. csv " ) self. provenance. sort _ index ( ). to _ csv ( provenanc... | [
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def merge ( job, results, args ) : job. filestore. logtomaster ('merging alignment output for { } '. format ( args. genome ), level = logging. info ) results _ file _ ids = { } for gp _ category, result _ list in results. items ( ) : tmp _ results _ file = tools. fileops. get _ tmp _ toil _ file ( ) with open ( tmp _ r... | [
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def open _ in _ youtube ( cls, voice _ transcript, skill ) : tags = cls. _ extract _ tags ( voice _ transcript, skill ['tags'] ) for tag in tags : reg _ ex = re. search ( tag +'( [ a - za - z ] + ) ', voice _ transcript ) try : if reg _ ex : search _ text = reg _ ex. group ( 1 ) base = " https : / / www. youtube. com /... | [
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def _ get _ rgb _ value ( self, our _ colour _ name : str ) : global colour _ dict our _ colour _ name = our _ colour _ name. replace ('','' ). upper ( ) if our _ colour _ name in colour _ dict : return colour _ dict [ our _ colour _ name ] | [
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def test _ order _ projected _ gain ( self ) : stock _ name = self. test _ stock _ a order _ quantity = 50 order _ type ='buy'trader = self. login _ user ( username = userb. get ('username') ). profile d = self. place _ order ( stock _ name, order _ quantity, order _ type, trader ) resp = d. get ('resp') self. asserteq... | [
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def regression ( self, fit, title ) : print ( " fitting pdf of ", title, " to expt. data. " ) fit. fithooks [ 0 ]. verbose = 0 # we can now execute the fit using scipy's least square optimizer. # free parameters one - by - one and fit self. plot _ fit ( fit, title, num = 0 ) print ( title, " [ 1 / 3 ] " ) fit. free ( "... | [
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def _ tf2 _ ( self, xmin = neg _ infinity, xmax = pos _ infinity, ymin = neg _ infinity, ymax = pos _ infinity, npars = 0, * args ) : # # if not hasattr ( self,'_ wo2') : self. _ wo2 = _ wo2 _ ( self ) if not self. _ wo2 : self. _ wo2 = _ wo2 _ ( self ) # # if hasattr ( self,'xmin') : xmin = max ( xmin, self. xmin ( ) ... | [
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def get _ parent _ instances ( self ) : vms = [ ] if self. config. monitor _ vm : vms = [ vm. instance _ name for vm in self. config. monitor _ vm ] else : # no configuration - grab the component list and find all vms iter _ resp = yield from self. _ dts. query _ read ( xpath = " d, / rw - base : vcs / rw - base : info... | [
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def get _ projects _ from _ testrail ( instance ) : client = apiclient ( instance. host ) client. user = instance. username client. password = instance. password return client. send _ get ('get _ projects') | [
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def billing _ full _ name ( self, billing _ full _ name ) : self. _ billing _ full _ name = billing _ full _ name | [
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def rps ( ) : user = input ( " kies je wapen [ steen, papier, schaar ] : " ) comp = random. choice ( ['steen ','papier ','schaar'] ) print ( ) print ('de gebruiker ( jij ) koos ', user ) print ('de computer ( ik ) koos ', comp ) print ( ) if user = ='steen'and comp = ='papier': print ('helaas, je hebt verloren.') elif ... | [
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def test _ list _ decimal _ pattern _ 4 _ nistxml _ sv _ iv _ list _ decimal _ pattern _ 5 _ 4 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / list / decimal / schema + instance / nistschema - sv - iv - list - decimal - pattern - 5. xsd ", instance = " nistdata / list / decimal / sc... | [
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0.555072247982025... |
def test _ example _ input _ one _ clone _ cancel _ entity ( self, ucc _ smartx _ selenium _ helper, ucc _ smartx _ rest _ helper, add _ input _ one ) : input _ page = inputpage ( ucc _ smartx _ selenium _ helper, ucc _ smartx _ rest _ helper ) input _ page. table. clone _ row ( " dummy _ input _ one " ) self. assert _... | [
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def test _ atomic _ qname _ enumeration _ 3 _ nistxml _ sv _ iv _ atomic _ qname _ enumeration _ 4 _ 4 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / qname / schema + instance / nistschema - sv - iv - atomic - qname - enumeration - 4. xsd ", instance = " nistdata / atomic ... | [
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def reset ( self ) : self. _ _ init _ _ ( ) | [
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def get _ follower _ ids ( screenname = none, idstr = none, maxfollowers = 10000 ) : t = connect ( ) args = { " stringify _ ids " : true } if screenname is not none : args ['screen _ name'] = screenname elif idstr is not none : args ['user _ id'] = idstr else : # todo throw exception pass cursor = - 1 ids = [ ] waitper... | [
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def stepsize ( self ) : return self. leapfrog. stepsize | [
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def get ( country _ identifier : str ) - > dict : return { } | [
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def checktypedefs ( filenode, releases ) : csgen = csgen ( ) for node in filenode. getlistof ('typedef') : build _ list = node. getuniquereleases ( releases ) callnode = node. getoneof ('callspec') if callnode : for param in callnode. getlistof ('param') : if param. getlistof ('array') : continue if csgen. getparammode... | [
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... |
def state _ unstr ( str _ state ) : state = list ( map ( int, re. findall ( r'\ d + ', str _ state ) ) ) return state | [
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def test _ ack _ event _ count ( self ) : _, _, all _ keys = ( yield self. msg _ seq _ helper. create _ ack _ event _ sequence ( event _ count = 3 ) ) self. assertequal ( len ( all _ keys ), 3 ) self. assertequal ( len ( self. backend. events ), 3 ) | [
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def process _ cc ( a _ tree ) : if a _ tree. is _ empty ( ) : return cc _ list = [ ] # find trees roots for iroot in _ find _ roots ( a _ tree ) : _ process _ cc _ helper ( a _ tree, iroot, cc _ list, false ) # extract coordinarively conjoined chains # print ( repr ( cc _ list ), file = sys. stderr ) _ output _ cc ( cc... | [
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def to _ external ( self, vector : np. ndarray ) - > np. ndarray : return util. to _ external ( vector, mask = self. internal _ mask ) | [
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def test _ chainmap ( self ) : from collections import chainmap cm = chainmap ( ) | [
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def _ traverse _ left ( self, start, stop, step, color, left, skipped = [ ] ) : validmoves = { } last = [ ] for r in range ( start, stop, step ) : if left < 0 : break current = self. board [ r ] [ left ] if current = = none : if skipped and not last : break elif skipped : validmoves [ ( r, left ) ] = last + skipped els... | [
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def memoizedmethod ( method ) : method _ name = method. _ _ name _ _ @ wraps ( method ) def patched ( self, * args, * * kwargs ) : " " " patched method. " " " try : return self. _ cache [ method _ name ] except keyerror : result = self. _ cache [ method _ name ] = method ( self, * args, * * kwargs ) return result retur... | [
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def send _ request ( origin _ addresses, dest _ addresses, api _ key ) : def build _ address _ str ( addresses ) : # build a pipe - separated string of addresses address _ str ='' for i in range ( len ( addresses ) - 1 ) : address _ str + = addresses [ i ] +'|'address _ str + = addresses [ - 1 ] return address _ str re... | [
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def quality _ task ( session, extras, dilibraries = dilibraries ) : session. log ( f'run quality _ task in { lib _ name }') standard _ di _ quality _ task ( session, extras = extras, dilibraries = dilibraries ) | [
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def _ _ init _ _ ( self, message, var _ name = none, skip _ frames = 0 ) : super ( h2o4gpuvalueerror, self ). _ _ init _ _ ( message ) self. var _ name = var _ name self. skip _ frames = skip _ frames | [
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def _ make _ param _ hook ( self, param ) : # hook used for back - prop. def param _ hook ( * unused ) : # add the gradient to the buffer. if param. grad is not none : # the gradient function of linear layers is fused with gemms param. main _ grad. add _ ( param. grad. data ) # now we can deallocate grad memory. param.... | [
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def test _ qv _ ideal _ probabilities ( self ) : num _ of _ qubits = 3 qv _ exp = quantumvolume ( range ( num _ of _ qubits ), seed = seed ) # set number of trials to a low number to make the test faster qv _ exp. set _ experiment _ options ( trials = 20 ) qv _ circs = qv _ exp. circuits ( ) simulation _ probabilities ... | [
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def create _ resource ( ) : deserializer = installdeserializer ( ) serializer = installserializer ( ) return wsgi. resource ( controller ( ), deserializer, serializer ) | [
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def mssne _ eval _ sim _ lds ( n, n _ perp, t _ h, np _ eps, arr _ ones, dsm _ lds _ min _ row _ dsm _ lds _ t ) : # lds single - scale similarities. s _ hij = np. empty ( shape = ( n _ perp, n, n ), dtype = np. float64 ) # lds multi - scale similarities. s _ ij = np. zeros ( shape = ( n, n ), dtype = np. float64 ) # f... | [
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def addpluginmethod ( descriptor ) : global methods methods [ descriptor [ 0 ] ] = descriptor | [
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def _ _ init _ _ ( self, values, p = none, interp ='bilinear ', lazy = false ) : if isinstance ( values, ( list, tuple ) ) : if len ( values ) > = 1 : values = th. floattensor ( values ) self. values = values if not p is none : p = np. array ( self. p ) if np. abs ( 1. 0 - np. sum ( p ) ) > 1e - 3 : raise valueerror ('... | [
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def start _ deamon _ proxy ( self, apps _ count ) : pass | [
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def init ( cls, files = [ ], keep _ temps = false, force = false ) : cls. counter = defaultdict ( int ) cls. files = files cls. temp _ files = set ( ) cls. keep _ temps = keep _ temps cls. force = force | [
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def mapping _ list ( environ, start _ response ) : current _ user = environ ['tiddlyweb. usersign'] ['name'] store = environ ['tiddlyweb. store'] try : bag = bag ( mapping _ bag ) tiddlers = filter _ tiddlers ( store. list _ bag _ tiddlers ( bag ),'select = user : % s'% current _ user, environ = environ ) results = { }... | [
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def process _ coins ( user _ prompt ) : quarter = int ( input ( " how many quarter do you have? : " ) ) dimes = int ( input ( " how many dimes do you have? : " ) ) nickles = int ( input ( " how many nickles do you have? : " ) ) pennies = int ( input ( " how many pennies do you have? : " ) ) user _ total = quarter * 0. ... | [
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def parse _ osm _ tags ( overpass _ json, variable _ names, true _ value = true, false _ value = false, none _ value = np. nan, imperial _ units = false ) : # if variables names is list, make into dictionary if isinstance ( variable _ names, list ) : variable _ names = dict ( zip ( variable _ names, variable _ names ) ... | [
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1.513628125190... |
def test _ read _ wavfile _ 2 ( ) : filename = os. path. join ( os. path. expanduser ( " ~ " ), " projects ", " audio _ processing ", " samples ", " stereo _ 44100 _ 16bits. wav " ) stereo _ 44100 _ 16bits = audio. audio ( filename ) print ( stereo _ 44100 _ 16bits ) | [
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def process _ zipcode ( self, df, col ='zipcode') : new _ df = df. copy ( ) new _ df = new _ df. dropna ( subset = [ col ], how ='any ', axis = 0 ) # handle rows with multiple zip codes new _ df. loc [ :, col ] = new _ df [ col ]. apply ( lambda x : self. parse _ zipcode ( x ) ) return new _ df | [
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def import _ pandas _ columns _ from _ txt ( file _ name = '.. / data / features _ columns. txt') : save _ log ('{ 0 } : : { 1 } '. format ( import _ pandas _ columns _ from _ txt. _ _ module _ _, import _ pandas _ columns _ from _ txt. _ _ name _ _ ) ) file _ text = open ( file _ name, " r " ) array _ features = [ ] f... | [
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... |
def delete _ client ( client ) : try : client. send ( bytes ( " logout ", " utf - 8 " ) ) client. close ( ) except : pass print ( " % s : % s has disconnected " % addresses [ client ] ) | [
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def add _ section _ to _ testsuite ( client, project _ id, suite _ id, section _ name ) : data = {'suite _ id': suite _ id,'name': section _ name } section = client. send _ post ('add _ section /'+ project _ id, data ) return str ( section ['id'] ) | [
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0.809089243412017... |
def third _ row _ seats ( self ) - > str : return self. _ car. get ( " vehicle _ config ", { } ). get ( " third _ row _ seats " ) | [
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def load _ imgs ( self, base _ dir ) : # add classes self. add _ class ( " shapes ", 1, " food " ) img _ path = os. path. join ( base _ dir, " imgs " ) mask _ path = os. path. join ( base _ dir, " masks " ) for i, filename in enumerate ( glob. glob ( img _ path +'/ *. jpg') ) : name = os. path. splitext ( os. path. bas... | [
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... |
def exception _ dates ( day _ list ) : on _ day = 0 for value in day _ list : on _ day | = ( 1 < < ( value - 1 ) ) return on _ day | [
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... |
def get _ headers ( self, content _ type ) : # type - text = > dict # todo - add kwargs so that user can provide more headers authorization = microsoft _ bot _ framework _ connect ( ) return {'content - type': content _ type,'authorization': authorization if'bearer'in authorization else str ('bearer'+ authorization ) } | [
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def new _ tile ( self ) : empty _ tiles = self. get _ empty _ tiles ( ) if len ( empty _ tiles ) > 0 : if random. random ( ) < 0. 9 : num = 2 else : num = 4 tile = random. choice ( empty _ tiles ) self. set _ tile ( tile [ 0 ], tile [ 1 ], num ) | [
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def metadata ( self ) : return self. _ md | [
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def expand _ paths _ or _ globs ( * paths _ or _ globs : str ) - > iterable [ path ] : for path _ or _ glob in paths _ or _ globs : if os. path. exists ( path _ or _ glob ) : # this is a valid path ; yield it without evaluating it as a glob. yield path ( path _ or _ glob ) else : paths = glob. glob ( path _ or _ glob )... | [
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... |
def test _ can _ hook _ body _ data ( self ) : new _ body _ data = {'new _ body _ data':'set _ in _ hook'} class myapiclient ( apiclient ) : @ apiclienthook. hook _ client _ body _ data ( client ='httpbin _ 2 ', requests = ['*'] ) def overide _ body _ data ( self, data, * * kwargs ) : return new _ body _ data httpbin =... | [
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0.0816653147339820... |
def cross _ validate ( model : baseestimator, x : pd. dataframe, y : pd. dataframe, n _ fold : int = 10 ) - > tuple [ np. array, pd. dataframe ] : maes = [ ] preds = pd. dataframe ( ) cv = timeseriessplit ( n _ fold ) for fold, ( train _ index, test _ index ) in enumerate ( cv. split ( x, y ) ) : x _ fold _ train, x _ ... | [
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... |
def selectvalues ( self, stream _ id, channel _ id ) : return self. cursor. execute ( " select * from chat _ log where channel _ id = { } " " and stream _ id = { } ". format ( channel _ id, stream _ id ) ) | [
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... |
def test _ list _ integer _ pattern _ 3 _ nistxml _ sv _ iv _ list _ integer _ pattern _ 4 _ 2 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / list / integer / schema + instance / nistschema - sv - iv - list - integer - pattern - 4. xsd ", instance = " nistdata / list / integer / sc... | [
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0.38480985164642334... |
def logsumexp ( tensor : torch. tensor, dim : int = - 1, keepdim : bool = false ) - > torch. tensor : max _ score, _ = tensor. max ( dim, keepdim = keepdim ) if keepdim : stable _ vec = tensor - max _ score else : stable _ vec = tensor - max _ score. unsqueeze ( dim ) return max _ score + ( stable _ vec. exp ( ). sum (... | [
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0.5... |
def generate _ plots ( n, file _ name, direc ) : if not os. path. exists ( ". / data / { } ". format ( direc ) ) : os. makedirs ( ". / data / { } ". format ( direc ) ) os. makedirs ( ". / data / { } / plots ". format ( direc ) ) with open ( ". / data / { } / ". format ( direc ) + file _ name + " _ coords. idl ",'w') as... | [
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-... |
def _ prepare _ state _ hops _ without _ proxy _ pc ( self ) : state _ hops = { unixremote. not _ connected : { unixremote. unix _ remote : unixremote. unix _ local, unixremote. unix _ local _ root : unixremote. unix _ local, unixremote. unix _ remote _ root : unixremote. unix _ local, }, unixremote. unix _ local : { u... | [
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def families ( self ) : wall _ kinds = [ ] for member in dir ( db. wallkind ) : if type ( getattr ( db. wallkind, member ) ) is db. wallkind : wall _ kinds. append ( getattr ( db. wallkind, member ) ) return wall _ kinds | [
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def test _ atomic _ hex _ binary _ enumeration _ 3 _ nistxml _ sv _ iv _ atomic _ hex _ binary _ enumeration _ 4 _ 2 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / hexbinary / schema + instance / nistschema - sv - iv - atomic - hexbinary - enumeration - 4. xsd ", instance ... | [
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0.26626291871070... |
def rainbow _ gradient ( data, max _ value ) : for value in data : middle = max _ value / 2. r = int ( max ( 0, 255. * ( value / middle - 1. ) ) ) b = int ( max ( 0, 255. * ( 1. - value / middle ) ) ) yield r yield 255 - b - r yield b | [
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0.6637802124023... |
def model _ update ( self, weights _ to _ update ) : new _ state _ dict = { } model _ counter _ = 0 for param _ idx, ( key _ name, param ) in enumerate ( self. network. state _ dict ( ). items ( ) ) : # handle the case that ` running _ mean ` and ` running _ var ` contained in ` batchnorm ` layer if " running _ mean " ... | [
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def plotcobtseg ( nodepath, segment, polygon, scale, steplength, rgba = [. 5,. 5,. 5, 1 ] ) : # plot polygonlist = [ ] for height in range ( 0, int ( 360 * scale ), steplength ) : rotedcobt = stb. genminkovseg ( stb. rotate ( polygon, height / scale ), segment ) polygonlist. append ( rotedcobt ) cobtnp = stb. gencobtnp... | [
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-0.4225400984287262,
0.5378226041793823,
-0.09215469658374786,
0.2744571268558502,
0.5458588004112244,
0.08703766018152237,
-0.5394538640975952,
-0.32159000635147095,
0.11009985208511353,
-0.7974103093147278,
-0.019831864163279533,
0.01879011280834675,
-0.087242789566516... |
def calculate _ desired _ noise _ rms ( signal _ rms, snr ) : return signal _ rms / ( 10 * * ( snr / 20 ) ) | [
0.14434735476970673,
0.31453457474708557,
0.29441919922828674,
-0.31416043639183044,
0.31162410974502563,
-0.9928382039070129,
-1.2187941074371338,
-0.029520081356167793,
0.5605287551879883,
-0.2999277412891388,
-0.36086612939834595,
0.8357383012771606,
-0.24404317140579224,
0.908035576343... |
def init ( self, ndim, std = 1. 0 ) : self. ndim = ndim self. w = numpy. asarray ( rng. uniform ( high = 0. 001, low = - 0. 001, size = ( self. nword, self. ndim ) ) ) | [
0.006688518915325403,
0.33189964294433594,
0.5684286952018738,
-0.3007776141166687,
-0.06980530917644501,
1.1177150011062622,
0.22704677283763885,
-0.38848060369491577,
0.3320911228656769,
0.05876864492893219,
-0.29720842838287354,
0.7974644899368286,
-0.13750900328159332,
2.26213669776916... |
def show _ path _ topic ( self ) : for path, topic _ file in self. _ gathering _ topics ( ) : print ( os. path. join ( path, topic _ file ) ) | [
1.1241202354431152,
-0.8638177514076233,
0.4500843286514282,
0.24221669137477875,
0.13378450274467468,
1.1267423629760742,
0.8669170141220093,
-0.3865789473056793,
-1.186682939529419,
0.5139769315719604,
1.4021265506744385,
0.19233542680740356,
0.3120408058166504,
0.4416661560535431,
-0.... |
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