text stringlengths 25 2.19k | embedding listlengths 768 768 |
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def describe _ loadbalancer _ detail ( self, blb _ id, config = none ) : path = utils. append _ uri ( self. version,'blb ', blb _ id ) return self. _ send _ request ( http _ methods. get, path, config = config ) | [
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def default _ value ( self ) : if not hasattr ( self, " _ default _ value " ) : if self. elem _ type = = " select " : try : # get option marked " selected " def _ value = get _ option _ value ( self. elem. select _ one ( " [ selected ] " ) ) except attributeerror : #... or if that one doesen't exist get the first optio... | [
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def check _ value ( self, value ) : value = super ( ). check _ value ( value ) if value = = self. states _ enum. out and self. interlocked : raise interlockerror ('valve is currently forced closed') return value | [
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def _ retrieve ( self, progress, episode, result, outfile ) : raise notimplementederror | [
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def reviewpreviousline ( self, inputevent ) : context = self. getflatreviewcontext ( ) moved = context. goprevious ( flat _ review. context. line, flat _ review. context. wrap _ line ) if moved : self. _ reviewcurrentline ( inputevent ) self. targetcursorcell = self. getbraillecursorcell ( ) return true | [
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def check _ melanoma ( metadata ) : if " melanocytic " not in metadata [ " meta " ] [ " clinical " ] : return false elif not metadata [ " meta " ] [ " clinical " ] [ " melanocytic " ] : return false return true | [
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def generate _ setter ( value ) : @ wraps ( set _ ) def setter ( self ) : self. set _ ( value ) return setter | [
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def query7 ( connection ) : current = time. time ( ) cursor = connection. cursor ( ) cursor. execute ( " " " select s. style, count ( b. id ) from style as s inner join beer as b on s. id = b. style group by ( s. id ) order by count ( b. id ) desc limit ( 1 ) ; " " " ) print ( " %. 3f " % ( time. time ( ) - current ), ... | [
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def _ prepare _ state _ hops _ with _ proxy _ pc ( self ) : state _ hops = { unixremote. not _ connected : { unixremote. unix _ remote : unixremote. unix _ local, unixremote. proxy _ pc : unixremote. unix _ local, unixremote. unix _ local _ root : unixremote. unix _ local, unixremote. unix _ remote _ root : unixremote.... | [
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def read _ article ( self ) : article = self. file. read _ text ( ). split ( ". " ) sentences = list ( ) for sentence in article : # remove punctuations, numbers and special characters sentences. append ( sentence. replace ( " [ ^ a - za - z ] ", " " ). split ( " " ) ) # sentences. pop ( ) return sentences | [
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def add _ media ( self, url, media _ type, hero _ img = false ) : if'media'not in self. m : self. m ['media'] = [ ] individual _ media = { } if hero _ img : assert ( media _ type = ='image'), f " { media _ type. upper ( ) } media - type cannot be a hero - image. " assert ( not self. _ is _ asset _ type _ exists ( ) ), ... | [
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def employee _ more _ info ( id ) : employee = user. query. get ( id ) return render _ template ( " employee _ more _ info. html ", user = current _ user, employee = employee ) | [
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def get ( self, ns, key, usemsgpack = true ) : result = none ret _ dict = self. _ sdl. get ( ns, { key } ) if key in ret _ dict : result = ret _ dict [ key ] if usemsgpack : result = msgpack. unpackb ( result, raw = false ) return result | [
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def fit ( self, data ) : # transpose and split data into the two point sets data = data. t x1 = data [ : 3, : 8 ] x2 = data [ 3 :, : 8 ] # estimate fundamental matrix and return f = compute _ fundamental _ normalized ( x1, x2 ) return f | [
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def start _ alarm ( ) : try : hours _ inp = int ( hours _ item. get ( ) ) # get info from spinbox assert hours _ inp in range ( 0, 24 ) minutes _ inp = int ( minutes _ item. get ( ) ) assert minutes _ inp in range ( 0, 60 ) except valueerror as e : print ( f " error occured : { e } " ) except assertionerror : print ( "... | [
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def get _ instance _ output ( instance _ id : optional [ pulumi. input [ str ] ] = none, location : optional [ pulumi. input [ str ] ] = none, project : optional [ pulumi. input [ optional [ str ] ] ] = none, opts : optional [ pulumi. invokeoptions ] = none ) - > pulumi. output [ getinstanceresult ] :... | [
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def _ run ( input _ file _ name, cam _ colour _ map _ name, max _ colour _ prctile _ for _ cam, top _ output _ dir _ name ) : main _ gradcam _ dir _ name ='{ 0 : s } / main _ gradcam '. format ( top _ output _ dir _ name ) guided _ gradcam _ dir _ name ='{ 0 : s } / guided _ gradcam '. format ( top _ output _ dir _ nam... | [
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def test _ atomic _ qname _ enumeration _ nistxml _ sv _ iv _ atomic _ qname _ enumeration _ 1 _ 1 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / qname / schema + instance / nistschema - sv - iv - atomic - qname - enumeration - 1. xsd ", instance = " nistdata / atomic / qn... | [
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def deletedevice ( self, typeid, deviceid ) : deviceurl = apiclient. deviceurl % ( self. host, typeid, deviceid ) r = requests. delete ( deviceurl, auth = self. credentials, verify = self. verify ) status = r. status _ code if status = = 204 : self. logger. debug ( " device was successfully removed " ) return true elif... | [
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def dtype ( self ) : if self. keys ( ) : try : return self. _ data [ next ( iter ( self. keys ( ) ) ) ]. dtype except attributeerror : return none else : return none | [
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def len _ num ( number ) : return len ( str ( abs ( number ) ) ) | [
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def generate _ image ( image _ shape, image _ objects, multichannel = true, num _ channels = 3, intensity _ range = none, random _ seed = none, color _ info = none, overlay = false ) : if not multichannel : num _ channels = 1 if intensity _ range is none : intensity _ range = ( 0, 254 ) if num _ channels = = 1 else ( (... | [
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def reduced _ pot ( e : float ) - > float : return e / kt | [
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def handlejwt ( request ) : wob _ payload _ object = wob _ payload. wob _ payload ( ) jwt _ type = request. get. get ('type ','' ) obj _ id = str ( random. randint ( 1, 100 ) ) if jwt _ type = ='loyalty': loyalty _ obj = loyalty. generate _ loyalty _ object ( config. issuer _ id, config. loyalty _ class _ id, config. l... | [
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def on _ combobox _ triggerdomain _ currentindexchanged ( self, index ) : # todo : not implemented yet print ( index ) | [
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def download _ asset _ c ( filename, counter, project _ id ) : download _ file ( f " https : / / assets. scratch. mit. edu / internalapi / asset / { filename } / get / ", f " { project _ id } / { counter }. { filename. split ( '.') [ - 1 ] } " ) | [
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def mu ( self, v ) : ret = 0. 0 if'*'in self. _ cats : ret = 1. 0 else : if v in self. _ cats : ret = self. _ cats [ v ] # print str ( v ) + " satisfies " + str ( self ) + " = " + str ( ret ) return ret | [
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def load _ data ( data _ file _ name _ in ) : print ('loading data to a list of dictionaries') with open ( data _ file _ name _ in,'r') as fin : data _ lines = fin. readlines ( ) len _ data = len ( data _ lines ) for i in range ( len _ data ) : data _ lines [ i ] = json. loads ( data _ lines [ i ] ) print ('loading dat... | [
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def get _ language ( self, editor ) : lang = editor. get _ active _ document ( ). get _ language ( ) lang = lang and lang. get _ name ( ) return lang | [
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def spec _ hum ( ) : yield 7. 8526e - 3 | [
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def make _ task _ dump ( env, dag, kind ) : return pythoncallable ( _ dump, product = file ( env. path / kind /'raw. parquet'), dag = dag, name ='raw ', params = dict ( kind = kind ) ) | [
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def query ( url, * * kwargs ) : try : log. info ('querying url " { } " with params { } '. format ( url, kwargs ) ) resp = requests. get ( url, params = kwargs, verify = true ) data = resp. json ( ) except exception as e : log. error ( " market sessions fail : { } ". format ( e ) ) raise if " error " in data : raise exc... | [
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def to _ bin ( self, address ) : return bin ( int ( address, 16 ) ) [ 2 : ]. zfill ( 32 ) [ : : - 1 ] | [
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def get _ maya _ window ( ) : for widget in qtwidgets. qapplication. toplevelwidgets ( ) : if widget. objectname ( ) = ='mayawindow': return widget raise runtimeerror ('could not locate mayawindow...') | [
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def teardown _ db ( exception ) : storage. close ( ) | [
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def generate _ dictionaries ( self, train _ set ) : for xy _ tups in train _ set : for i in range ( len ( xy _ tups ) ) : word = xy _ tups [ i ] [ 0 ] pos = xy _ tups [ i ] [ 1 ] self. word _ count [ word ] + = 1 self. distinct _ words. add ( word ) self. d1 [ ( word, pos ) ] + = 1 self. d2 [ pos ] + = 1 if i! = 1 : pr... | [
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def getinfos ( self, cursor, netid ) : cursor. execute ('''select informationid, internalid from informations where networkid =?'' ', ( netid, ) ) infos = { } for row in cursor : infos [ row [ 1 ] ] = row [ 0 ] return infos | [
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def matvec ( a, b, transpose _ a = false, adjoint _ a = false, a _ is _ sparse = false, b _ is _ sparse = false, name = none ) : with ops. name _ scope ( name, " matvec ", [ a, b ] ) as name : output = matmul ( a, array _ ops. expand _ dims ( b, axis = - 1 ), transpose _ a = transpose _ a, adjoint _ a = adjoint _ a, a ... | [
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def reopen ( self, ticket _ id ) : return self. update ( ticket _ id, { " status " : " open " } ) | [
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def set _ password ( self, value ) : super ( searchbycategoryinputset, self ). _ set _ input ('password ', value ) | [
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def item _ payload ( item ) : try : media _ type = item [ " type " ] media _ id = item [ " uri " ] except keyerror as err : _ logger. debug ( " missing type or uri for media item : % s ", item ) raise missingmediainformation from err try : media _ class = content _ type _ media _ class [ media _ type ] except keyerror ... | [
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def dice ( predictions, labels, num _ classes ) : dice _ scores = np. zeros ( ( num _ classes ) ) for i in range ( num _ classes ) : tmp _ den = ( np. sum ( predictions = = i ) + np. sum ( labels = = i ) ) tmp _ dice = 2. * np. sum ( ( predictions = = i ) * ( labels = = i ) ) / tmp _ den dice _ scores [ i ] = tmp _ dic... | [
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def removechecker ( self ) : self. checkers. pop ( 0 ) | [
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def write _ fq ( fq _ dict, fname, mode ) : if fname. endswith ( '. gz') : with gzip. open ( fname,'wb') as f : for k in list ( fq _ dict. keys ( ) ) : if mode = ='strip': # if unmapped, write all the read lines if fq _ dict [ k ] [ 0 ] = ='u': f. write ( f " @ { k } \ n ". encode ( ) ) for i in fq _ dict [ k ] [ 1 : ]... | [
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def decode ( resource _ string ) : log = logging. getlogger ('pyactiveresource. format') log. debug ('decoding resource : % s ', resource _ string ) try : data = util. xml _ to _ dict ( resource _ string, saveroot = false ) except util. error, err : raise error ( err ) if isinstance ( data, dict ) and len ( data ) = = ... | [
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def test _ call _ result _ as _ dict ( self ) : exp _ assignments = rdp _ test1 _ expected _ dict min _ confidence = self. default _ app. params ['confidence'] # since there is some variation in the assignments, run # 10 trials and make sure we get the expected result at least once num _ trials = 10 unverified _ seq _ ... | [
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def start ( self, origin ) : self. start _ time = time. time ( ) self. pause _ until = none self. data. update ( self. _ get _ struct ( origin,'origin') ) self. data _ stack. append ( self. data ) sys. settrace ( self. _ trace ) return self. _ trace | [
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def cast ( * args ) : return _ itksubtractconstantfromimagefilterpython. itksubtractconstantfromimagefilterid3did3 _ cast ( * args ) | [
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def template _ convert ( kod, args ) : try : from jinja2 import environment, filesystemloader except importerror : exit ( " fatal : jinja templating engine not found. install using pip install jinja2 " ) db = database ( args. dbdir, kod ) template _ dir = join ( dirname ( dirname ( abspath ( _ _ file _ _ ) ) ), " templ... | [
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def find _ start _ in _ peak ( peak _ range, transcript _ sequence, count _ vector, reads _ cutoff, canonical _ start _ codon, nearcanonical _ start _ codon ) : # convert peak to numpy array for better performance range _ numpy = np. asarray ( peak _ range ) # initial qc if np. nansum ( count _ vector [ min ( range _ n... | [
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def calc _ charge ( message _ size, channels, start _ time ) : assert all ( channels ) assert all ( math. isclose ( channel [ - 1 ] [ 1 ], math. inf ) for channel in channels ) not _ transmitted = message _ size time = start _ time channels = [ iter ( channel ) for channel in channels ] charge = [ ( 0, start _ time ) ]... | [
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def boundary _ images ( images : union [ np. ndarray, torch. tensor ], patch _ classifications : union [ np. ndarray, torch. tensor ], boundary _ color : tuple [ int, int, int ] = ( 255, 0, 0 ) ) - > np. ndarray : images = to _ numpy ( images ). copy ( ) masks = to _ numpy ( patch _ classifications ). copy ( ) b _ imag... | [
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def write _ dataset _ to _ tfrecord ( dataset, output _ dir ) : for d in dataset : encode _ to _ tfrecord ( d, output _ dir ) | [
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def _ add _ registry _ creates ( self, node, calls ) : regcreates = calls [ ( ( calls ['api'] = ='regcreatekeyexa') | ( calls ['api'] = ='regcreatekeyexw') | ( calls ['api'] = ='ntcreatekey') ) & ( calls ['status'] = = true ) ] for i, regcreate in regcreates. iterrows ( ) : regname = none for arg, val in regcreate ['ar... | [
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def all _ 2 _ swaps ( steps : list [ step ] ) - > list [ list [ step ] ] : def index ( l, val, fail ) : try : return l. index ( val ) except : return fail swaps = [ ] for idx, step1 in enumerate ( steps ) : jobids = list ( map ( lambda step : step. job, steps ) ) left, right = [ ] if idx = = 0 else jobids [ idx - 1 : :... | [
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def display _ packages _ summary ( build _ errors : dict [ str, list [ docbuilderror ] ], spelling _ errors : dict [ str, list [ spellingerror ] ] ) : packages _ names = { * build _ errors. keys ( ), * spelling _ errors. keys ( ) } tabular _ data = [ { " package name " : f " [ info ] { package _ name } [ / ] ", " count... | [
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def _ _ init _ _ ( self, class _ object, operation _ type = none ) : # imports inside the _ _ init _ _ method definition to avoid cyclic imports from. commcell import commcell from. client import client from. agent import agent from. backupset import backupset from. subclient import subclient self. class _ object = cla... | [
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def wegsegment ( self ) : return self. _ wegsegment. get _ waarde ( ) | [
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def gen _ search _ urls ( search _ term, max _ pages ) : url _ list = [ ] url _ list. append ('http : / / zetatijuana. com /? s = % s'% search _ term ) if max _ pages > 1 : for page _ number in range ( 2, max _ pages + 1 ) : url _ list. append ('http : / / zetatijuana. com / page / % s /? s = % s'% ( page _ number, sea... | [
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def structuralcoverage ( self ) : self. printstatus ( ) if self. mloglevel > = 1 : print " # structures : % s " % ( self. mtablenamestructures ) print " # minimum overlap : % i " % ( self. mstructuresminoverlap ) sys. stdout. flush ( ) print " " " # # family : cluster number # nseqs : number of sequences with annotatio... | [
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def parse _ value ( val ) : val = val. replace ( " % ", " " ) \. replace ( " ", " " ) \. replace ( ", ", ". " ) \. replace ( " st ", " " ). strip ( ) missing = [ " ejdeltagit ", " n / a ", " - " ] if val in missing : return val elif val = = " " : return none return float ( val ) | [
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def save ( self, * args, * * kwargs ) : self. asset _ type = " residual " super ( residual, self ). save ( * args, * * kwargs ) | [
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def build _ belief _ propagation ( n, m, grid _ shape, gamma = 0. 031, bp _ iterations = 3 ) : # for every ray the per voxel depth probability s = k. placeholder ( shape = ( n, m ), dtype = " float32 ", name = " s " ) # the voxels that each ray intersects with ( in order ) ray _ voxel _ indices = k. placeholder ( shape... | [
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def getdofvalues ( self ) : return self. getrobot ( ). getdofvalues ( self. getindices ( ) ) | [
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def process _ dict ( json _ dct : dict ) - > dict : try : content = json _ dct [ " content " ] except keyerror : content = " " try : new _ json = json _ dct [ " embed " ] except keyerror : new _ json = json _ dct # set default type to " rich " if " type " not in new _ json : new _ json [ " type " ] = " rich " # todo : ... | [
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def load _ shapes ( shape _ file ) : try : sf = shapefile. reader ( shape _ file ) except shapefile. shapefileexception as e : raise valueerror ( e ) # map for patches patches = { } # patch : { key : value } # create a map from field numbers to field names. fields = { } for index, field in enumerate ( sf. fields [ 1 : ... | [
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def _ map _ to _ uri ( environ, identifier ) : store = environ ['tiddlyweb. store'] try : tiddler = tiddler ( identifier, mapping _ bag ) tiddler = store. get ( tiddler ) uri = tiddler. fields ['uri'] user = tiddler. fields ['user'] _, netloc, path, params, query, fragment = urlparse. urlparse ( uri ) host = netloc pat... | [
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def calculateerror ( partition ) : ret = [ ] rows = list ( partition ) normx = 0. 0 error = 0. 0 for row in rows : xi = row [ 1 ] ci = row [ 2 ] normx = normx + np. square ( norm ( xi, 2 ) ) error = error + np. square ( norm ( xi - kruskal _ to _ tensor ( [ ci, a, b ] ), 2 ) )'''( ki, i, j ) = xi. shape for i in range ... | [
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def _ get _ aggregates _ sql ( self, group ) : return chain ( * [ a. get _ columns ( prefix = self. _ col _ prefix ( group ) ) for a in self. aggregates ] ) | [
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async def get _ user _ by _ email ( self, email : str ) - > user : await self. connect _ to _ database ( ) user _ db = await self. db ['users']. find _ one ( {'email': email } ) if user _ db : return user _ db | [
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def status ( self ) - > pulumi. output [ str ] : return pulumi. get ( self, " status " ) | [
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def msnerv _ obj _ fct ( x, sigma _ ij, n, n _ components, p _ h, t _ h, n _ perp, w _ cf ) : x = np. reshape ( a = x, newshape = ( n, n _ components ) ) # computing the pairwise squared euclidean distances in the lds dsm _ lds = pairwise _ dist ( x = x, metric ='sqeuclidean ', tomatrix = true ) # lds multi - scale sim... | [
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def random _ bounded _ uint16 _ fill ( bitgen, low, rng, size, dtype ) : buf = 0 bcnt = 0 out = np. empty ( size, dtype = dtype ) if rng = = 0 : for i in np. ndindex ( size ) : out [ i ] = low elif rng = = 0xffff : # lemire16 doesn't support rng = 0xffff. for i in np. ndindex ( size ) : val, bcnt, buf = buffered _ uint... | [
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def solve ( self, initial : np. ndarray, dt : float, nsteps : int ) - > iterable [ np. ndarray ] : yield initial params = {'dt': dt } for _ in range ( nsteps ) : predicted = self. pbm. predict ( params, initial ) residual = self. ddm ( params, predicted ) initial = self. pbm. correct ( params, initial, residual ) yield... | [
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def main ( ) : return render _ template ('index. html') | [
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def run ( self, value : any ) - > none : if value! = self. value : raise signals. skip ('provided value " { } " did not match " { } " '. format ( value, self. value ) ) | [
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def _ unsorted _ segment _ n ( data, segment _ ids, num _ segments ) : num _ segments = ops. convert _ to _ tensor ( num _ segments ) # bincount doesn't support negative indices so we use unsorted _ segment _ sum segment _ ids _ shape = array _ ops. shape _ internal ( segment _ ids ) ones _ tensor = array _ ops. ones (... | [
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... |
def test _ directed _ edge _ set ( self ) : v0 = directedvertex ( val ='v0') v1 = directedvertex ( val ='v1') e01 = directededge ( ( v0, v1 ) ) e01. set ('weight ', 5 ) self. assertequal ( e01. attrs, {'weight': 5 } ) e01. set ( 0, 1 ) self. assertequal ( e01. attrs, {'weight': 5, 0 : 1 } ) | [
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def task _ instances ( self, task _ instances ) : self. _ task _ instances = task _ instances | [
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... |
def _ _ repr _ _ ( self ) : return " schedules class instance for { 0 } ". format ( self. _ repr _ str ) | [
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def _ add _ contact _ to _ graph ( self : contact ) - > none : self. _ g. bind ( " vcard ", vcard ) if not getattr ( self, " identifier ", none ) : self. identifier = skolemizer. add _ skolemization ( ) _ self = uriref ( self. identifier ) self. _ g. add ( ( _ self, rdf. type, vcard. organization ) ) # name if getattr ... | [
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def test _ atomic _ qname _ min _ length _ 4 _ nistxml _ sv _ iv _ atomic _ qname _ min _ length _ 5 _ 2 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / qname / schema + instance / nistschema - sv - iv - atomic - qname - minlength - 5. xsd ", instance = " nistdata / atomic ... | [
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0.03855046629905701... |
def test _ list _ integer _ min _ length _ 4 _ nistxml _ sv _ iv _ list _ integer _ min _ length _ 5 _ 4 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / list / integer / schema + instance / nistschema - sv - iv - list - integer - minlength - 5. xsd ", instance = " nistdata / list / ... | [
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def web _ url _ for ( view _ name, _ absolute = false, _ internal = false, _ guid = false, * args, * * kwargs ) : url = url _ for ('osfwebrenderer _ _ { 0 } '. format ( view _ name ), * args, * * kwargs ) if _ guid : url = _ get _ guid _ url _ for ( url ) if _ absolute : # we do not use the url _ for's _ external kwarg... | [
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def variable _ summaries ( var ) : with tf. name _ scope ('summaries') : var _ image = tf. reshape ( var, ( tf. shape ( var ) [ 0 ], 1, tf. shape ( var ) [ 1 ], 1 ) ) tf. summary. image ('value ', var _ image, max _ outputs = 100 ) mean = tf. reduce _ mean ( var ) tf. summary. scalar ('mean ', mean ) with tf. name _ sc... | [
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... |
def _ _ get _ mask _ dot ( self ) - > float : p _ t = self. _ _ get _ thrsh _ point _ vector ( ) n _ u = self. n _ u n _ pt = p _ t / np. linalg. norm ( p _ t ) return np. dot ( n _ u, n _ pt ) | [
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def test _ toolkit _ controlpanel _ view _ protected ( self ) : from accesscontrol import unauthorized logout ( ) self. assertraises ( unauthorized, self. portal. restrictedtraverse,'@ @ toolkit - controlpanel') | [
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def _ get _ region _ slug ( self, id _ or _ label ) : region = self. regions. get _ by _ label ( id _ or _ label ) if region is none : try : region = self. regions [ id _ or _ label ] except stopiteration : # this is a strange error thrown by statscraper raise keyerror ( u " { } is not a valid region id or label ". for... | [
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async def set _ channel _ id _ as ( self, ctx : context, key : str ) : if key not in channel _ id _ keys : await send _ error ( ctx. channel, f'invalid key. valid keys are ` { channel _ id _ keys } `.') return store _ key = user _ friendly _ keys. get ( key ) if store _ key is none : await send _ internal _ error ( ctx... | [
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def solve ( self, system, environment _ input ) : self. init _ params ( ) ga _ operator = sogaoperator ( system = system, environment _ input = environment _ input, objective = none ) individual = indiv _ gen. merge _ creation _ functions ( ga _ operator, self. version ) solution = ga _ operator. decode ( individual ) ... | [
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def test _ create _ similar _ item _ data _ model ( test _ dao ) : dut = dtmsimilaritem ( test _ dao ) assert isinstance ( dut, dtmsimilaritem ) assert isinstance ( dut. tree, tree ) assert isinstance ( dut. dao, dao ) | [
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def getscenegraphroot ( self ) : if self. _ model is not none : return self. _ model. _ rootnode | [
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def build _ graph ( self ) : with self. graph. as _ default ( ) : with tf. device ( self. device ) : with tf. variable _ scope ('placeholder') : self. x = tf. placeholder ( tf. float32, [ none, self. num _ time _ steps, self. num _ inputs ], name ='inputs') self. y = tf. placeholder ( tf. float32, [ none, self. num _ t... | [
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def get _ market _ list ( self ) : return self. get _ request ('/ api / v1 / markets') | [
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def test _ 0 _ layers ( arr _ r _ i ) : r _ i = sbp. calc _ r _ i ( arr _ r _ i, 0 ) assert r _ i = = 0, " interface ratio for zero layers set incorrectly " | [
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... |
async def redpill ( self, ctx ) : msg = copy ( ctx. message ) msg. content = ctx. prefix + " pill # ff0000 " ctx. bot. dispatch ( " message ", msg ) | [
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def abort ( msg ) : from fabric. state import output, env if not env. colorize _ errors : red = lambda x : x # noqa : e731 else : from fabric. colors import red if output. aborts : sys. stderr. write ( red ( " \ nfatal error : % s \ n " % _ encode ( msg, sys. stderr ) ) ) sys. stderr. write ( red ( " \ naborting. \ n "... | [
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... |
def _ _ init _ _ _ 0 ( self, filename ) : super ( ztexihxfile1, self ). _ _ init _ _ ( ) self. _ _ init _ _ ( filename, self. defaultztexdescriptoroffs ) | [
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0.8365363478660583,
0.27518635988235474,
1.0652538537979126,
0.4192580580711365,
1.0943708419799805,
-0.9327951669692993,
-0.1396467536687851,
-0.42801666259765625,
-0.20133306086063385,
0.307715505361557,
0.5881852507591248,
... |
def coatedblock ( mat, height, width, coating, thickness, substrate, det, e0 = 20. 0, withpoisson = true, ntraj = 1000, dose = 120. 0, sf = false, bf = false, xtraparams = { } ) : def buildblock ( monte, origin, buildparams ) : height = buildparams [ " height " ] width = buildparams [ " width " ] submat = buildparams [... | [
1.1148735284805298,
0.6003756523132324,
1.3658252954483032,
0.6092522144317627,
-1.3006477355957031,
0.024663487449288368,
0.592684268951416,
-0.4717702269554138,
0.14355774223804474,
-0.17482224106788635,
-0.5334331393241882,
0.5573881268501282,
-0.24279728531837463,
1.1798906326293945,
... |
def to _ python ( self, value ) : return value | [
-1.0533347129821777,
-0.2920191287994385,
0.17043434083461761,
-0.9336968064308167,
0.2793891429901123,
0.3998657763004303,
-0.1311677098274231,
-0.9792507290840149,
0.49577751755714417,
-0.052081067115068436,
-0.9762554168701172,
0.69279545545578,
0.24108123779296875,
-0.25319036841392517... |
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