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def resolveimports ( self, dependencies ) : if not isinstance ( dependencies, dict ) : raise typeerror ( " module dependencies must be a dictionary " ) resolveddependencies = { } for modulepath, moduledepenendencies in dependencies. items ( ) : # compute final package name of module. modulename = self. getpackagename (... | [
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def execute _ sp _ row0 ( self, sql : str, * params ) - > optional [ dict [ str, any ] ] : cursor = self. _ _ conn. cursor ( as _ dict = true ) cursor. execute ( sql, params ) rows = cursor. fetchall ( ) cursor. close ( ) n = len ( rows ) if n = = 1 : return rows [ 0 ] elif n = = 0 : return none else : raise resultexce... | [
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def valid _ temp ( cls, new _ temp ) : if cls. min _ temp < = new _ temp < = cls. max _ temp : return true # else return false | [
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def on _ key _ release ( self, key, modifiers ) : if key = = arcade. key. up or key = = arcade. key. w : self. accel = 0 elif key = = arcade. key. down or key = = arcade. key. s : self. accel = 0 elif key = = arcade. key. space : self. brake = 0 elif key = = arcade. key. left or key = = arcade. key. a : self. steer = 0... | [
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def printvectorfile ( matrix ) : # print 1st line # # import pdb ; pdb. set _ trace ( ) num _ row = len ( matrix ) print ('% d : w'% num _ row ) # print vectors # weight = 1 / float ( num _ row ) dim = len ( matrix [ 0 ] ) index = 0 while index < num _ row : dim = len ( matrix [ index ] ) print ('%. 23f % d :'% ( weigh... | [
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def load _ backend ( name ) : if name = = " tf " : # treat the tensorflow backend differently, to # isolate the import of tensorflow from. tfbackend import tfbackend return tfbackend ( ) if name in supported _ backends : backend = supported _ backends [ name ] ( ) return backend raise valueerror ( " backend'{ }'is not ... | [
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def get _ style ( self, name ) : return self. document. get _ style _ range ( name, 0, len ( self. document. text ) ) | [
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def install ( ) : shell ( " pip install - r requirements. txt " ) | [
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def random _ cost ( low = 1, high = 150000 ) : return random. uniform ( low, high ) | [
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def _ _ str _ _ ( self ) : return " ". join ( [ str ( x ) for x in self. id ] ) | [
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def actioncleanupbefore ( self ) : return self. _ killallvboxprocesses ( ) ; | [
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def build _ maze ( filename ) : infile = open ( filename, " r " ) # read the size of the maze. nrows, ncols = read _ value _ pair ( infile ) maze = maze ( nrows, ncols ) # read the starting and exit positions. row, col = read _ value _ pair ( infile ) maze. set _ start ( row, col ) row, col = read _ value _ pair ( infi... | [
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def remove _ stopwords ( words ) : stopwords = nltk. corpus. stopwords. words ( " english " ) words = [ w for w in words if w not in stopwords ] return words | [
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def number _ of _ i ( word ) : return word. count ( " l " ) | [
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def build _ loader _ model _ grapher ( args ) : train _ transform, test _ transform = build _ train _ and _ test _ transforms ( ) loader _ dict = {'train _ transform': train _ transform,'test _ transform': test _ transform, * * vars ( args ) } loader = get _ loader ( * * loader _ dict ) # set the input tensor shape ( i... | [
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def load _ covobs _ txtfile ( filepath, name = none ) : with open ( filepath,'r') as f : lines = f. readlines ( ) if name is none : # get name without extension name = os. path. splitext ( os. path. basename ( filepath ) ) [ 0 ] tmp = np. fromstring ( lines [ 1 ], sep ='' ) # read parameters and breaks nmax = int ( tmp... | [
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def test _ config _ failure ( self ) : with assert _ setup _ component ( 0, device _ tracker. domain ) : setup _ component ( self. hass, device _ tracker. domain, { device _ tracker. domain : { device _ tracker. conf _ consider _ home : - 1 } } ) | [
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def set _ loads ( self, mean = 100, standard _ deviation = 20, power _ factor = 95 ) : # collect all load elements loads = self. app. getcalcrelevantobjects ('*. elmlod') # create keys for loads dictionary form all names of loads keys = [ ] for key in loads : keys. append ( key. loc _ name ) # create values for keys dr... | [
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def split ( self, file _ path, col _ name, target, sep ='\ t ', index _ col = 0, nan _ strategy ='train ', * * kwargs ) : # assumes index corresponds to self. common _ subjects df = self. _ read _ behav _ file ( file _ path = file _ path, sep = sep, index _ col = index _ col, * * kwargs ) common _ idx = df. index. isin... | [
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def get _ bbox _ from _ grid _ spec ( center _ x : float, center _ y : float, cell _ size : tuple [ float, float ], cols : int, rows : int ) - > boundingbox2d : half _ width = cell _ size [ 0 ] * cols / 2 half _ height = cell _ size [ 1 ] * rows / 2 return boundingbox2d ( minx = center _ x - half _ width, maxx = center... | [
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def index _ path ( self ) : index _ path = [ ] node = self while node. _ parent is not none : index _ path. append ( node. index ( ) ) node = node. parent ( ) index _ path. reverse ( ) print index _ path return index _ path | [
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def set _ meters _ per _ px ( self, px ) : if px and px > 0 : self. meters _ per _ px = px else : pass | [
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def spls1 ( x, y, l, lambda _ val ) : # to do return [ b, w, p, q ] | [
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def to _ list ( * args ) : result = [ ] for value in args : if isinstance ( value, ( list, tuple, dict ) ) : result. extend ( value ) elif value is not none : result. append ( value ) return [ i for i in result if i is not none ] | [
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def test _ comoving _ distance _ converter _ inversion ( cosmology, scale, n _ interp ) : cdc = comovingdistanceconverter ( d _ min = 100, d _ max = 5000, cosmology = cosmology, scale = scale, n _ interp = n _ interp, ) dl = np. random. uniform ( 100, 5000, 100 ) u, _ = cdc. to _ uniform _ parameter ( dl ) dl _ out, _ ... | [
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def files _ exist ( self, file _ paths ) : return self. _ interface. files _ exist ( file _ paths ) | [
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def board _ size ( self ) - > tuple [ int, int ] : size = str ( self. root. get _ property ( " sz ", " 19 " ) ) if " : " in size : x, y = map ( int, size. split ( " : " ) ) else : x = int ( size ) y = x return x, y | [
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def _ jinc2 ( x ) : # todo!!! implement jinc ( 0 ) = 0. 5 m, n = x. shape result = _ np. empty ( ( m, n ) ) with _ warnings. catch _ warnings ( ) : _ warnings. simplefilter ( " ignore " ) for i in range ( m ) : for j in range ( n ) : result [ i, j ] = _ sps. j1 ( x [ i, j ] ) / ( x [ i, j ] ) return result | [
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def verifier ( self ) - > verifier :... # pragma : no cover | [
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def get _ chores _ from _ user ( existing _ chores : typing. list [ chore ] ) - > typing. list [ chore ] : print ('these are the existing chores :') print _ chores ( existing _ chores ) user _ wants _ to _ add : bool = input ('is there any that you would like to add? ( y / n )'). lower ( ) = ='y'if not user _ wants _ t... | [
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def calculate _ meanfreepath ( photon, material = " water " ) : if photon is none : return " " " linear attenuation coefficient for water. from https : / / physics. nist. gov / physrefdata / xraymasscoef / comtab / water. html. the units are in cm ^ 2 / g. " " " if material = = " water " : muvsen = [ 1. 00000e - 03, 4.... | [
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def all ( request ) - > httpresponse : articles = _ _ default _ articles _ query ( request. user. is _ superuser ) context = { " articles _ view _ title " : " welcome on my page ", " articles " : articles } return render ( request, " view _ all. html ", context ) | [
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def custom _ toggle _ modules ( ) - > list [ str ] : | [
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def run _ cli ( cmd : str ='ls - l'# command to execute in the cli ) : p = subprocess. run ( cmd, stdout = subprocess. pipe, shell = true ) print ( str ( p. stdout,'utf - 8') ) | [
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def test _ check _ missing _ bad ( self ) : args = lambda : none args. args = { " city " :'london'} with self. assertraises ( exception ) as context : helpers. check _ missing ('args ', args,'name') exception = context. exception self. assertequal ( exception. args [ 0 ] [ " status _ code " ], 400 ) self. assertequal (... | [
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def _ setup ( self, beta ) : reward _ normalizer = popart. popart ( running _ statistics. emameanstd ( beta ) ) strategy = test _ utils. create _ distribution _ strategy ( use _ tpu = self. primary _ device = ='tpu') self. assertequal ( strategy. num _ replicas _ in _ sync, 2 ) with strategy. scope ( ) : reward _ norma... | [
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def min _ coils _ lp ( coil _ widths, product _ widths, wastes, coils _ max, instance _ name = " " ) : prob = pulp. lpproblem ( " mwp instance : % s " % instance _ name, pulp. lpminimize ) # - - - total waste - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -... | [
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def send _ custom _ notification ( notif _ name, template _ vars, params _ dict = none, user = none, message _ direction = none, attachments = none ) : from core. models. master import notifications from core. models. message import messages from core. models. users import notificationsubscriber try : if not params _ d... | [
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def cscs _ par _ fit ( y, l, maxitr = 100, tol = 1e - 4, warmstart = false, debug = false, num _ workers = none ) : n, p = y. shape s = np. matmul ( y. t, y ) / n if ( num _ workers is none ) : num _ workers = multiprocessing. cpu _ count ( ) - 1 l = np. vstack ( parallel ( n _ jobs = num _ workers ) ( delayed ( _ hk _... | [
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def store _ solution ( self, final _ fit, binspec, rmstol = 0. 15, force _ save = false, wvcalib = none ) : # for return wvarxiv _ name = none # line ids ans ='' if not force _ save : while ans! ='y'and ans! ='n': ans = input ( " would you like to store the line ids? ( y / n ) : " ) else : ans ='y'if ans = ='y': self. ... | [
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def test _ extract _ pairs ( self ) : ing _ list = [ ( 1, 2, 3 ), ( 4, 5 ), ( 1, 2 ), ( 6, ) ] actual = extract _ pairs ( ing _ list ) expected = map ( lambda pair : ingredientpair ( * pair ), [ ( 1, 2 ), ( 1, 3 ), ( 2, 3 ), ( 4, 5 ), ( 1, 2 ) ] ) self. assertequal ( actual, expected ) | [
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def cut _ solution ( self ) : damage _ array = [ [ ] for x in range ( 0, self. number _ axons, 1 ) ] temp _ array = [ 0. 0 for x in range ( 0, self. number _ axons, 1 ) ] for x in range ( 0, self. number _ axons, 1 ) : first _ node = int ( len ( self. sol _ array [ x ] [ 0 ] ) / 36 ) damage _ array [ x ] = [ self. dmg ... | [
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def get _ team _ position ( team ) : team _ id = _ get _ team _ id ( team ) team _ lg = _ get _ team _ league ( team ) team _ name = get _ team _ name ( team ) " " " do not forget to check if teamd id and lg are null " " " " " " do not forget get date, timezone " " " # req = _ get ('soccerseasons / { id } / fixtures? t... | [
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def _ calc _ clevels ( plot _ data ) : percent _ 98 _ surf = np. percentile ( plot _ data. surface _ hr. compressed ( ), 98 ) percent _ 2 _ surf = np. percentile ( plot _ data. surface _ hr. compressed ( ), 2 ) percent _ 98 _ grid = np. percentile ( np. ma. masked _ values ( plot _ data. tracer _ hr, 0 ). compressed ( ... | [
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def detect _ abstract _ lang ( df ) : if cfg. detect _ lang : logger. info ('detecting abstract language...') df [ ['abstract _ lang ','abstract _ lang _ score'] ] = df. abstract. fillna ('' ). apply ( detect _ lang _ wrapper ) if cfg. fill _ not _ detected _ lang : df. abstract _ lang. fillna ( df. iso _ lang, inplace... | [
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def grab _ header _ metadata ( json _ results, run _ id _ keys, param ) : param _ value _ list = [ ] header _ metadata _ str ='' for key, value in run _ id _ keys. items ( ) : if param in json _ results [ value ] : header _ metadata _ str = header _ metadata _ str +'{ } : { } \ n '. format ( key, json _ results [ value... | [
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def unshelf ( self ) : if self. shelf is not none : self. shelf. books. pop ( self. book _ id ) self. last _ shelf = self. shelf print ( " unshelved { book } from the { shelf } shelf. ". format ( book = self. title, shelf = self. shelf. name ) ) self. shelf = none else : print ( " book not on a shelf! " ) | [
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def get _ domain ( self, domain _ name, domain _ type = none ) : domain = self. domains. get ( domain _ name, none ) if domain is none : raise nameerror ('invalid domain name : % s ', ( domain _ name, ) ) if domain _ type is not none and domain. domaintype! = domain _ type : raise typeerror ('% s is not a domain of typ... | [
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def getdistance ( self, other : " translation2d " ) - > float : return math. hypot ( other. x - self. x, other. y - self. y ) | [
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def make _ pdf ( image _ list ) : if ( not image _ list ) : print ( " \ nnu s - a gasit niciun document! " ) return 0 print ( " \ nse genereaza pdf din imaginile descarcate. " ) for image in image _ list : pdf. add _ page ( ) pdf. image ( image, 0, 0, 210, 297 ) pdf. output ( pdf _ location + number + ". pdf ", " f " ) | [
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def clustercandidates ( parameter1, parameter2, n _ clusters ) : stackedparameters = np. vstack ( ( parameter1, parameter2 ) ) # cluster _ centers = k _ means ( stackedparameters. t, n _ clusters = n _ clusters ) cluster _ centers = kmeans ( n _ clusters = n _ clusters ). fit ( stackedparameters. t ) clusterlabels = cl... | [
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def call ( self, x, * args, * * kwargs ) : training = kwargs [ " training " ] logger = tf. get _ logger ( ) # get layer output y = self. layer ( x, * args, * * kwargs ) if self. params [ " mode " ] = = " debug " : logger. debug ( " before dropout " ) logger. debug ( y ) # postprocessing : apply dropout if training : y ... | [
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def test _ else _ that _ can _ be _ removed _ in _ function ( assert _ errors, parse _ ast _ tree, code, template, default _ options, mode, ) : tree = parse _ ast _ tree ( mode ( template. format ( code, code ) ) ) visitor = ifstatementvisitor ( default _ options, tree = tree ) visitor. run ( ) assert _ errors ( visito... | [
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def test _ get _ root ( self ) : pass | [
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def get _ token ( self ) : headers = {'content - type':'application / yaml ','accept':'application / json ', } data = " { username :'" + self. username + " ', password :'" + \ self. password + " ', project _ id :'" + self. project _ id + "'} " url = f " https : / / { self. ip } : 9999 / osm / admin / v1 / tokens " resp... | [
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def inbound _ hosts ( self, to _ host, limit _ hosts = 2500, skip _ hosts = 0, sort _ hosts = " from _ host _ rank10 _ desc " ) : data = self. _ request ('/ api / inbound ', locals ( ) ) return result ( json. loads ( data ) ) | [
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def get _ list _ of _ friends ( user : str ) : r = requests. get ('https : / / www. livejournal. com / misc / fdata. bml ', params = {'user': user } ) data = r. text. splitlines ( ) data = data [ 1 : ] data =''. join ( data ) data = data. split ( ) data = set ( filter ( lambda a : a! ='>'and a! ='< ', data ) ) return l... | [
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def add _ assertions ( assertions = none ) : if not assertions : assertions = [ ] if not isinstance ( assertions, list ) : raise valueerror ('assertion parameter was not a list : % s ', assertions ) snap _ cmd = [ snappy _ cmd,'ack'] combined = " \ n ". join ( assertions ) if len ( combined ) = = 0 : raise valueerror (... | [
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def normalize ( word ) : return word. strip ( '.?') | [
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def to _ datetime ( string : str ) - > datetime : return datetime. strptime ( string, time _ format _ pattern ) | [
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def setup _ app ( app ) : iiif. init _ app ( app ) api = app. extensions ['restful'] iiif. init _ restful ( api ) image _ path = os. path. join ( app. instance _ path,'images') def uuid _ to _ source ( uuid ) : " " " full path of specified file. " " " return os. path. join ( image _ path, uuid ) iiif. uuid _ to _ image... | [
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def load _ state _ county _ zips ( state ) : global state _ county _ zip with sqlite3. connect ('source. db') as conn : cur = conn. cursor ( ) state _ county _ zip = [ ( str ( row [ 0 ] ), row [ 1 ] ) for row in cur. execute ( " select county, zip from states where state = : st and county not null and county < >'' orde... | [
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def is _ role _ mention ( text ) : return role _ mention _ rp. fullmatch ( text ) is not none | [
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def select ( display ) : global scene scene = display return display | [
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def _ read _ file ( self, raise _ exc : bool = false ) : try : with open ( self. ctrlfilename ) as f : lines = f. readlines ( ) except oserror : if raise _ exc and pid : raise return for line in lines : # parse line ; format is " module _ id pid timestamp site " try : _ id, _ pid, _ time, _ site = line. split ('' ) pro... | [
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... |
def get _ iso _ systime ( self ) : return time. strftime ( u " % y - % m - % dt % h : % m : % s ", time. localtime ( time. time ( ) ) ) + self. _ get _ timezone ( ) | [
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def go _ to _ sellers _ cabinet ( self ) : self. wait _ and _ click ( locator _ type = by. xpath, locator = self. constants. my _ profile _ arrow _ xpath ) self. wait _ and _ click ( locator _ type = by. xpath, locator = self. constants. seller _ cabinet _ xpath ) self. log. info ( " go to seller's cabinet " ) from pag... | [
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def _ _ str _ _ ( self ) : if self. landmark = = cdna _ stop _ codon : coord _ prefix ='*'else : coord _ prefix ='' if self. offset < 0 : offset ='% d'% self. offset elif self. offset > 0 : offset ='+ % d'% self. offset else : offset ='' return'% s % d % s'% ( coord _ prefix, self. coord, offset ) | [
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def cancascade ( self ) : return false | [
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def letter _ freq ( txt ) : freq = { } txt _ lowered = txt. lower ( ) for char in txt _ lowered : if char in freq. keys ( ) : freq [ char ] + = 1 else : freq [ char ] = 1 return freq | [
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def next ( self, * args ) : return _ topods. topods _ iterator _ next ( self, * args ) | [
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def delete ( org _ id ) : try : orgservice. delete _ org ( org _ id ) response, status ='', http _ status. http _ 204 _ no _ content except businessexception as exception : response, status = {'code': exception. code,'message': exception. message }, exception. status _ code return response, status | [
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def _ mgui _ set _ orientation ( self, value : str ) - > none : if value = = " vertical " : layout = qtw. qvboxlayout ( ) self. _ qwidget. setorientation ( qt. vertical ) layout. addwidget ( self. _ qwidget, alignment = qt. alignhcenter ) layout. addwidget ( self. _ readout _ widget, alignment = qt. alignhcenter ) self... | [
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def plot _ shape ( id, unit _ info, ax, s = none ) : # plt. figure ( ) # ax = plt. axes ( ) ax. set _ aspect ('equal') shape _ ex = sf. shape ( id ) x _ lon = np. zeros ( ( len ( shape _ ex. points ), 1 ) ) y _ lat = np. zeros ( ( len ( shape _ ex. points ), 1 ) ) for ip in range ( len ( shape _ ex. points ) ) : x _ lo... | [
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def load _ model ( model, network _ type, algorithm, appliance, saved _ model _ dir ) : # model _ name = " saved _ models / " + appliance + " _ " + algorithm + " _ " + network _ type + " _ model. h5 " model _ name = saved _ model _ dir print ( " path name : ", model _ name ) if network _ type = = " t2vattention " or al... | [
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def run _ con _ fibstr ( n, s ) : nseed ( s ) rseed ( s ) print n alphabet = set ( " qwertyuiopasdfghjklzxcvbnm " ) x = choice ( list ( alphabet ) ) alphabet. remove ( x ) y = choice ( list ( alphabet ) ) fibs = fibonacci ( n ) fiblen = randrange ( 3, len ( fibs ) ) before = randint ( 0, n - fibs [ fiblen ] ) after = n... | [
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def start ( self ) : self. incoming. start ( ) | [
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def _ f _ zero _ lsb ( index : int, stop : int ) - > _ gen : while index < stop : yield index index | = index + 1 | [
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def custom _ parameters ( self ) - > optional [ mapping [ str,'outputs. apioauthsettingsparameterresponse'] ] : return pulumi. get ( self, " custom _ parameters " ) | [
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def getpixelat ( self, x, y ) : return self. _ hsv [ y ] [ x ] | [
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def parse ( self, name ) : # does hgvs name have transcript / gene prefix? if':'in name : prefix, allele = name. split (': ', 1 ) else : prefix ='' allele = name self. name = name # parse prefix and allele. self. parse _ allele ( allele ) self. parse _ prefix ( prefix, self. kind ) self. _ validate ( ) | [
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def build _ roi _ box _ head ( cfg, in _ channels ) : return roiboxhead ( cfg, in _ channels ) | [
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def _ fast _ inference _ update _ state ( inputs, state ) : assert math. backend _ name ( ) = ='jax ', ('jax backend is required to use the predict mode.') for x in inputs : assert x. shape [ 1 ] = = 1, ('in predict mode the input sequence must be of length 1.') # fast inference : run with only 1 query in each step, st... | [
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def bitwiseor ( a, b ) : return a | b | [
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def unique ( self, column : str ) - > list [ any ] : if column not in self. _ data. column _ names : raise valueerror ( f " column ( { column } ) not in table columns ( { self. _ data. column _ names } ). " ) if self. _ indices is not none and self. _ indices. num _ rows! = self. _ data. num _ rows : raise valueerror (... | [
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def chapter _ word _ count ( self, indices ) : return sum ( len ( line. split ( ) ) for ch _ start, ch _ end in indices for line in self [ ch _ start : ch _ end ]. readfile ( path ) ) | [
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def clean _ format ( s, * args ) : return multi _ format ( s, clean _ strs ( * args ) ) | [
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def _ udp _ transact ( self, hp, payload, handler, action, keyfind, timeout = - 1, * * kwargs ) : u = self keyv = keyfind ( hp, payload ) u. buffer _ l. acquire ( ) host = hp [ 0 ] broadcast = host is none or ( len ( host ) > 4 and host [ - 4 : ] = = '. 255') if broadcast : u. buffer. clear ( ) elif keyv in u. buffer :... | [
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def callback ( self ) : if'code'not in request. args : return none, none, none oauth _ session = self. service. get _ auth _ session ( data = {'code': request. args ['code'],'grant _ type':'authorization _ code ','redirect _ uri': self. get _ callback _ url ( ) }, decoder = json. loads ) me = oauth _ session. get ('' )... | [
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def shrink ( pcur, delta, lower, upper ) : tmp = pcur - delta maskl = tmp < lower masku = tmp > upper if maskl. any ( ) : return numpy. min ( ( pcur [ maskl ] - lower [ maskl ] ) / delta [ maskl ] ) elif masku. any ( ) : return numpy. min ( ( pcur [ masku ] - upper [ masku ] ) / delta [ masku ] ) else : return 1. 0 | [
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def det _ centroid _ intersection ( self, square ) : a, b, c, d = square ab _ mid = self. det _ midpoint ( a, b ) cd _ mid = self. det _ midpoint ( c, d ) da _ mid = self. det _ midpoint ( d, a ) bc _ mid = self. det _ midpoint ( b, c ) return ab _ mid, cd _ mid, da _ mid, bc _ mid | [
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def is _ pass ( self ) : return self. coords is none | [
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def test _ unknown _ redirect _ uris _ are _ rejected ( self ) : data = {'client _ id': self. client. client _ id,'response _ type':'code ','redirect _ uri':'http : / / neverseenthis. com ','scope':'openid email ','state': self. state, } response = self. _ auth _ request ('get ', data ) self. assertin ( redirecturierro... | [
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def get _ space _ converter ( internal _ params, internal _ constraints, ) : transformations, constr _ info = process _ constraints ( constraints = internal _ constraints, params _ vec = internal _ params. values, lower _ bounds = internal _ params. lower _ bounds, upper _ bounds = internal _ params. upper _ bounds, pa... | [
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def test _ insert _ returning ( self ) : response = ( manager. insert ( manager ( name = " maz " ) ). returning ( manager. name ). run _ sync ( ) ) self. assertlistequal ( response, [ { " name " : " maz " } ] ) | [
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async def _ subscribe _ to _ button _ led _ status ( self, button _ led _ id ) : _ log. debug ( " subscribing to button led status updates for led id % s ", button _ led _ id ) try : response, _ = await self. _ subscribe ( f " / led / { button _ led _ id } / status ", self. _ handle _ button _ led _ status, ) _ log. de... | [
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def test _ parameters ( ) : # check that both yank and repex parameters are accepted yank ( store _ directory ='test ', randomize _ ligand = true, nsteps _ per _ iteration = 1 ) | [
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def view _ bill ( request ) : if request. user. is _ stylist = ='yes': if request. method = ='get': appointment = appointment. objects. get ( pk = request. get. get ('appointment _ pk') ) bill = iteminbill. objects. filter ( appointment = appointment ) request. session ['appointment _ for _ bill'] = request. get. get (... | [
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0.9886249303817749,... |
def prune ( self, threshold : int ) : self. _ log. info ( " pruning to min % d occurrences ", threshold ) pruned = documentfrequencies ( ) pruned. _ docs = self. docs pruned. _ df = { k : v for k, v in self. _ df. items ( ) if v > = threshold } pruned. _ meta = self. meta return pruned | [
0.46548476815223694,
0.13357269763946533,
0.36365044116973877,
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0.5433483719825745,
0.22005856037139893,
-0.3189501166343689,
-1.01159822940... |
def scan ( args ) : connectsl ( ) connectcouchdb ( ) print " * * * * * * * * * * * * * * * " vlan = input ( " specify backend or frontend vlan : " ) vlanid = vlan _ num _ to _ id ( vlan ) subnets = get _ hydra _ portable _ subnets ( vlanid ) print'found % s portable subnets in vlan # % s marked hydra only'% ( len ( sub... | [
0.3465341627597809,
0.9005007743835449,
0.6400790810585022,
0.31469249725341797,
0.3261692225933075,
0.1999163180589676,
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0.0832284539937973,
0.1107710525393486,
-0.6767604351043701,
0.4056026041507721,
0... |
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