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def tracer ( func ) : calls = [ 0 ] @ wraps ( func ) def wrapper ( * args, * * kwargs ) : calls [ 0 ] + = 1 print'execution of function { } number { } '. format ( func. _ _ name _ _, calls [ 0 ] ) return func ( * args, * * kwargs ) return wrapper | [
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def gameoflife ( self, board ) : if board is none or len ( board ) = = 0 : return m, n = len ( board ), len ( board [ 0 ] ) alive = set ( ) def checknumlive ( i, j ) : livecount = 0 for x, y in map ( lambda a : ( a [ 0 ] + i, a [ 1 ] + j ), ( [ ( 0, 1 ), ( 1, 0 ), ( - 1, 0 ), ( 0, - 1 ), ( 1, 1 ), ( - 1, - 1 ), ( - 1, ... | [
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def tk _ window ( ) : # global variables global codevar global descvar global amountvar # creates the window object, adds a title, sets the size of the window # and makes it non - resizable window = tk ( ) window. title ('stockitall') window. geometry ('300x150') window. resizable ( false, false ) # define stringvars f... | [
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def update _ targets ( self, items ) : for doc in items : self. task _ types. collection. update ( {'task _ id': doc ['task _ id'] }, doc, upsert = true ) | [
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def perspective ( self, width, height, vfov, fznear, fzfar ) : if width < = 0 or height < = 0 : return self. fzfar = fzfar self. fznear = fznear self. fov = vfov self. width = width self. height = height self. aspect = self. width / float ( self. height ) self. projection = matrix16. perspective ( self. fov, self. aspe... | [
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def delete _ reminder ( self ) : xpath = self. util. read _ xpath _ list _ from _ xml ( self. object _ repo, " setreminder ", self. my _ object ) for loop _ index in range ( 0, len ( xpath ) ) : print loop _ index self. object. click ( self. util. client, xpath [ loop _ index ] ['zone'], xpath [ loop _ index ] ['xpath'... | [
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def validation _ dataset ( self, val _ split _ file ='val. txt ', batch _ size = 1 ) : return self. _ make _ dataset ( val _ split _ file, batch _ size, false ) | [
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def set _ context ( self, ctx ) : self. ctx = ctx | [
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def test _ batch _ redetect ( self ) : for detector in self. detectors : with self. subtest ( detectortype = detector. detectortype ) : detectseveral = detector. detect ( images = [ vlimage _ one _ face, vlimage _ several _ face ] ) redetect = detector. redetect ( images = [ imageforredetection ( image = vlimage _ seve... | [
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def x _ rotation ( vector, theta ) : r = np. array ( [ [ 1, 0, 0 ], [ 0, np. cos ( theta ), - np. sin ( theta ) ], [ 0, np. sin ( theta ), np. cos ( theta ) ] ] ) return np. dot ( r, vector ) | [
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def _ format _ radius ( radius : union [ float, list, tuple, torch. tensor ], pointclouds ) - > torch. tensor : n, p _ padded = pointclouds. _ n, pointclouds. _ p points _ packed = pointclouds. points _ packed ( ) p _ packed = points _ packed. shape [ 0 ] if isinstance ( radius, ( list, tuple ) ) : radius = torch. tens... | [
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def session _ made ( self, conn ) : print ( " session made " ) self. connection = conn self. our _ dest = conn. dest print ( " are address is % s " % self. our _ dest. base32 ( ) ) self. loop. call _ later ( 1, self. ping _ loop ) raise return ( ) | [
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def get _ plant _ id _ for _ resources _ in _ loadzones ( resources, loadzones, grid ) : plant _ id = get _ plant _ id _ for _ resources ( resources, grid ) & get _ plant _ id _ in _ loadzones ( loadzones, grid ) return set ( plant _ id ) | [
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def validate _ unique _ environment _ ids ( environments : union [ list [ dict ], list [ union [ aandeenvironmentagent, environmentagent, gpenvironmentagent ] ], ], id _ key : str = " environment _ id ", ) - > none : # validate unique environment _ ids strictly, i. e. don't allow if same # stringified value environment... | [
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def _ read _ transport _ mode ( self ) : try : with open ( global _ config _ path, " r " ) as read _ file : data = json. load ( read _ file ) self. _ transport _ mode = data. get ( _ transport _ mode, none ) except : raise exception ('transport mode is not configured for the gadget.'' please run the launch. py script w... | [
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def test _ see _ service ( self, mock _ see ) : with assert _ setup _ component ( 1, device _ tracker. domain ) : assert setup _ component ( self. hass, device _ tracker. domain, test _ platform ) params = {'dev _ id':'some _ device ','host _ name':'example. com ','location _ name':'work ','gps': [. 3,. 8 ],'attributes... | [
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def execute _ singleton1 ( self, sql : str, * params ) - > any : cursor = self. _ _ conn. cursor ( ) cursor. execute ( sql, * params ) rows = cursor. fetchall ( ) cursor. close ( ) n = len ( rows ) if n! = 1 : raise resultexception ('1 ', n, sql ) return rows [ 0 ] [ 0 ] | [
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def leadingzeros ( num ) : return " { : 02d } ". format ( num ) | [
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def is _ admin ( ) : return _ is _ admin ( ) | [
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def _ repr _ json _ ( self ) : return json. puts ( self. _ repr _ dict _ ) | [
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def unique _ modules ( directory ) : found = { } for entry in sorted ( os. listdir ( directory ) ) : if entry. startswith ('_') : continue module = is _ module ( entry ) if module : if module not in found : found [ module ] = entry yield module elif is _ package ( os. path. join ( directory, entry ) ) : if entry not in... | [
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def evaluate _ diag ( self, x : jaxarray ) - > jaxarray : h = self. observation _ model ( x ) return h @ self. stationary _ covariance ( ) @ h | [
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def get _ amenities ( ) : amenities = [ ] all _ amenities = storage. all ( amenity ). values ( ) for ame in all _ amenities : amenities. append ( ame. to _ dict ( ) ) return jsonify ( amenities ) | [
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def entry _ repr _ heading ( format _ style = none ) : if format _ style is none : format _ style = format _ style _ default if format _ style is format _ style _ simple : return _ entry _ repr _ simple. heading elif format _ style is format _ style _ full : return _ entry _ repr _ full. heading else : raise exception ... | [
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def load _ names _ in _ dicts ( ) : try : for keys in known _ face _ names : in _ minutes [ f'{ keys }'] = " " out _ minutes [ f'{ keys }'] = " " except exception as e : messagebox. showerror ( " load names to dicts error ", str ( e ) ) | [
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def cascade ( self, line _ from = 0 ) : for y in range ( line _ from, len ( self. textlist ) - 1 ) : if len ( self. textlist [ y ] ) > self. width : if'' in self. textlist [ y ] : add _ to _ text = self. textlist [ y ]. split ('' ) [ - 1 ] self. textlist [ y ] =''. join ( self. textlist [ y ]. split ('' ) [ 0 : - 1 ] )... | [
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def casual _ tokenizer ( text ) : tokens = [ word for word in casual _ tokenize ( rm _ punctuation ( text ), preserve _ case = false, reduce _ len = true, strip _ handles = true ) ] wordnet _ lemmatizer = wordnetlemmatizer ( ) stems = [ wordnet _ lemmatizer. lemmatize ( item ) for item in tokens ] # stemmer = porterste... | [
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def copy _ weights _ between _ models ( m1, m2 ) : # load state dictionaries for m1 model and m2 model m1 _ state _ dict = m1. state _ dict ( ) m2 _ state _ dict = m2. state _ dict ( ) # set the m2 model's weights with trained m1 model weights for name, param in m1 _ state _ dict. items ( ) : if name not in m2 _ state ... | [
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def setup _ method ( self, method ) : self. hass = get _ test _ home _ assistant ( ) | [
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def construct _ polynomial _ approx ( degree, weights ) : # here is a function that is created on the fly from the input feature # mapping and weights def prediction _ function ( xs ) : expanded _ xs = np. matrix ( expand _ to _ monomials ( xs, degree ) ) ys = expanded _ xs * np. matrix ( weights ). reshape ( ( len ( w... | [
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def check _ value _ error ( value, index, line _ num, file _ name, title ) : keep _ order = 0 this _ year = datetime. date. today ( ). year value _ cheks = [ { " type ( value ) = = str " : " value " }, { " index = = 2 " : " 3 " }, { # this part is only for the sold copies " value > 500 " : "'inputerror : you have too h... | [
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def find _ plus ( word ) : if'+'in word : return 1 return 0 | [
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def checkuserexists ( self, username ) : if ( user. select ( ). where ( user. username = = username ). exists ( ) ) : return ( true ) else : return ( false ) | [
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... |
def wordnet _ pos ( tag ) : table = { " n " : wordnet. noun, " v " : wordnet. verb, " r " : wordnet. adv, " j " : wordnet. adj } # default to a noun. return table. get ( tag [ 0 ], wordnet. noun ) | [
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def rds _ set ( self ) - > pulumi. output [ bool ] : return pulumi. get ( self, " rds _ set " ) | [
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def get _ vcf _ allele ( hgvs, genome, transcript = none ) : chrom, start, end = hgvs. get _ vcf _ coords ( transcript ) _, alt = hgvs. get _ ref _ alt ( transcript. tx _ position. is _ forward _ strand if transcript else true ) ref = get _ genomic _ sequence ( genome, chrom, start, end ) if hgvs. mutation _ type in _ ... | [
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def train ( self ) : config = tf. configproto ( device _ count = {'gpu': 1 } ) for _ in range ( self. episodes ) : terminal = false state = self. env. reset ( ) while not terminal : action = self. get _ action ( state ) observation, reward, terminal, _ = self. env. step ( action ) state = self. run ( state, action, rew... | [
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... |
def runtime ( self ) : return self. metadata. get ( " backend ", self. metadata. get ( " platform " ) ) | [
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... |
def _ request ( self, path, params ) : params = dict ( params ) # make a copy. if'self'in params : # remove'self'added by locals ( ) del params ['self'] if self. auth : params ['auth'] = self. auth else : params ['source'] = self. source query = urllib. urlencode ( params ) url = " { 0 } { 1 }? { 2 } ". format ( base _... | [
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def _ _ str _ _ ( self ) : return " { } : id = { } ; version = { } ; signedoff = { } ; is _ superpanel = { } ". format ( self. name, self. id, self. version, self. signedoff, self. superpanel ) | [
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... |
def fbx _ cleaner ( delete = false, spacestring ='03fbxasc032') : _ str _ func ='fbx _ cleaner'log. debug ( " | { 0 } | > >... ". format ( _ str _ func ) ) _ res = { } for o in mc. ls ( ) : _ res [ o ] = [ ] _ l = mc. listattr ( o, userdefined = true ) or [ ] for a in _ l : _ res [ o ]. append ( a ) _ shapes = trans. s... | [
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1.065703153610229... |
def keypress ( self, size, key ) : if self. _ w. selectable ( ) : key = self. _ w. keypress ( size, key ) return key | [
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def test _ get _ parameters ( self ) : pass | [
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... |
def authorize ( vm _ uuid, datastore _ url, cmd, opts ) : logging. debug ( " authorize : cmd = % s opts = ` % s'vm _ uuid = % s, datastore _ url = % s ", cmd, opts, vm _ uuid, datastore _ url ) # the possible value of " datastore _ url " can be url of real datastore or " _ vm _ ds : / / " error _ msg, _ auth _ mgr = ge... | [
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... |
def _ mgui _ set _ step ( self, value : float ) : if value and value < 1 * 10 * * - self. _ qwidget. decimals ( ) : self. _ qwidget. setdecimals ( math. ceil ( abs ( math. log10 ( value ) ) ) ) self. _ qwidget. setsinglestep ( value ) | [
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... |
def setup ( self, parameters ) : return notimplemented | [
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def plot _ range _ image ( hostname : str, lidar _ port : int = 7502 ) - > none : import matplotlib. pyplot as plt # type : ignore # get single scan [ doc - stag - single - scan ] metadata, sample = client. scans. sample ( hostname, 1, lidar _ port ) scan = next ( sample ) [ 0 ] # [ doc - etag - single - scan ] # initi... | [
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... |
def data ( self ) - > table : return self. _ data | [
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def submission _ count ( self, submission _ count ) : self. _ submission _ count = submission _ count | [
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def get _ product _ urls ( page _ lim = 10 ) : urls = [ ] for i in range ( page _ lim ) : url ='http : / / www. cosme. net / item / item _ id / 1064 / products / page / { 0 } '. format ( i ) r = requests. get ( url ) html = r. text soup = beautifulsoup ( html ) item _ spans = soup. find _ all ('span ', {'class':'item'}... | [
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0... |
def getgradient ( c1, c2 ) : o _ red = c1. red ( ) o _ green = c1. green ( ) o _ blue = c1. blue ( ) n _ red = c2. red ( ) n _ green = c2. green ( ) n _ blue = c2. blue ( ) rd = ( n _ red - o _ red ) * fade _ delta gd = ( n _ green - o _ green ) * fade _ delta bd = ( n _ blue - o _ blue ) * fade _ delta r, g, b, = o _ ... | [
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-0... |
def test _ replace _ step ( self ) : pass | [
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0.995556235313415... |
def handle _ write ( self ) : try : sent = self. sock. send ( self. reply ) except socket. error as err : if err. args [ 0 ] not in nonblocking : self. handle _ error ( " socket error writing to { 0 } ". format ( self. sock ) ) return self. error else : self. reply = self. reply [ sent : ] if not self. reply : return s... | [
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... |
def _ calclandlordlayerscount ( self, domain _ log = none, alpha _ ll _ size _ log = none ) - > int : if domain _ log is none : domain _ log = self. domain _ log if alpha _ ll _ size _ log is none : alpha _ ll _ size _ log = self. alpha _ ll _ size _ log layerscount = 0 ll _ leaves = self. _ getlandlordlayersize ( laye... | [
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... |
def stats ( start = none, end = none ) : session = session ( engine ) sel = [ func. min ( measurement. tobs ), func. max ( measurement. tobs ), func. round ( func. avg ( measurement. tobs ), 2 ) ] if end is none : results = session. query ( * sel ). \ filter ( measurement. date > = start ). all ( ) else : results = ses... | [
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-1.... |
def remove _ all ( self :'linked _ list ', test : callable [ [ any ], bool ] ) - >'linked _ list': head, removed = self. head. remove _ all ( test ) return linked _ list ( head, self. size - removed ) | [
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def _ update _ probs ( self ) : probs = list ( np. array ( list ( self. data. values ( ) ) ) / np. array ( list ( self. data. values ( ) ) ). sum ( ) ) self. card _ probs = { card : prob for card, prob in zip ( card _ names, probs ) } | [
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def test _ ing _ pair _ in _ list _ case _ 2 ( self ) : ing _ list = load _ ing _ list ( ) pairs = extract _ pairs ( ing _ list ) ing1 = ingredient ( " 土 " ) ing2 = ingredient ( " " ) self. asserttrue ( ingredientpair ( ing1, ing2 ) in pairs ) | [
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def search _ string ( gr, column, strings _ list ) : if isinstance ( strings _ list, str ) : strings _ list = [ strings _ list ] if isinstance ( column, str ) : # # # # if column is not a list but a string, it means there is only one column to search return gr [ gr [ column ]. str. contains ('| '. join ( strings _ list... | [
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def svd ( feature _ columns, embedding _ size = 100, l2 _ reg _ embedding = 1e - 5, l2 _ reg _ linear = 1e - 5, l2 _ reg _ dnn = 0, init _ std = 0. 0001, seed = 1024, bi _ dropout = 0, dnn _ dropout = 0 ) : features = build _ input _ features ( feature _ columns ) input _ layers = list ( features. values ( ) ) sparse _... | [
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def unzip ( self, x ) : res = [ ] for info, r in zip ( self. info, self. r ) : source = x [ r [ 0 ] : r [ 1 ] ] if info. mask is not none : a = info. mask. astype ( x. dtype, copy = true ) if info. default is not none : a [... ] = info. default a [ info. mask ] = source res. append ( a ) else : if info. default is not ... | [
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def tsreg ( ts, freq = none, interp = false ) : if freq is none : freq = pd. infer _ freq ( ts. index [ : 3 ] ) ts1 = ts. resample ( freq ). mean ( ) if interp : ts1 = ts1. interpolate ('time') return ts1 | [
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def _ _ init _ _ ( self, * * kwargs ) : if len ( kwargs ) = = 0 : self. _ index = [ ] self. _ value = [ ] elif'copy'in kwargs : copy = kwargs ['copy'] self. _ index = list ( copy. _ index ) self. _ value = list ( copy. _ value ) elif'index'in kwargs and'value'in kwargs : # references to the index and value sequences ar... | [
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def clone ( self, new _ name ) : pass | [
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... |
def run _ name _ server ( node _ id, work _ dir ) : check _ file ( name _ server _ jar ) check _ file ( node _ config ) if node _ id is none or node _ id = = - 1 : node _ id = get _ node _ id ( ) work _ dir = os. path. join ( work _ dir,'log _ ns _'+ node _ id ) os. system ('rm - rf'+ work _ dir +'; mkdir - p'+ work _ ... | [
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... |
def _ _ getitem _ _ ( self, idx ) : slide _ id = self. data _ df. image _ id. values [ idx ] isup _ grade = self. data _ df. isup _ grade. values [ idx ] gleason = self. data _ df. gleason _ score. values [ idx ] # dirty way to prepare gleason score gleason _ to _ number = {'0': 0,'3': 1,'4': 2,'5': 3 } if gleason = ='... | [
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def export _ data ( output _ filename, solution ) : full _ path, states = solution s = path _ string ( full _ path ) with open ( output _ filename,'w') as f : string = str ( full _ path [ 0 ] ) string + ='solution :'+ str ( len ( s ) ) + ','+ s +'\ n'string + ='states seen :'+ str ( states ) f. write ( string ) | [
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def preformat ( text ) : return wrap _ html ( text, " pre " ) | [
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def put _ tag ( self, resource, params ) : self. _ check _ endpoint _ params ('put - tag ', params ) return self. _ request ('put ','tags / % s'% resource, params ) | [
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def get _ lower _ budget _ promotions ( self, budget ) : assert budget in self. budgets rung = np. where ( budget = = self. budgets ) [ 0 ] [ 0 ] prev _ rung = np. clip ( rung - 1, a _ min = 0, a _ max = self. n _ rungs - 1 ) lower _ budget = self. budgets [ prev _ rung ] num _ promote _ configs = self. n _ configs [ r... | [
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def to _ representation ( self, instance ) : ret = ordereddict ( ) fields = [ field for field in self. fields. values ( ) if not field. write _ only ] for field in fields : try : attribute = field. get _ attribute ( instance ) except skipfield : continue if attribute is not none : represenation = field. to _ representa... | [
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def start _ group ( self, scol, typ ) : return group ( parent = self, level = scol, typ = typ ) | [
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def phonological _ word _ for ( phones : pronunciation ) - > phonologicalword : pass | [
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async def test _ move _ to _ coordinates _ implementation ( decoy : decoy, state _ view : stateview, hardware _ api : hardwarecontrolapi, movement : movementhandler, ) - > none : subject = movetocoordinatesimplementation ( state _ view = state _ view, movement = movement, ) params = movetocoordinatesparams ( pipetteid ... | [
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def get _ config ( self, budget ) : # we always have some chance to sample from random distribution # if not enough points seen for any budget then also sample from a random distribution if len ( self. kde _ models. keys ( ) ) = = 0 or np. random. rand ( ) < self. random _ fraction : logger. debug ('sample new random c... | [
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def randomize _ wells ( df _ plate, fingerprint _ drug = none, fingerprint _ dose = 1, exclude _ outer = 1, plate _ dims = [ 16, 24 ] ) : cols = [ " % 02d " % s for s in range ( 1, plate _ dims [ 1 ] + 1 ) ] rows = [ chr ( 65 + n ) for n in range ( plate _ dims [ 0 ] ) ] wells = [ ] for row in rows : for col in cols : ... | [
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def set _ topic _ acl ( self, tenant, topic, acl ) : project _ name = tenant. upper ( ) url = self. get _ url ( " topics ", topic, project _ name, " modifyacl " ) data = { " authorized _ users " : acl } return self. post _ resource ( url, data ) | [
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def test _ maximum _ likelihood _ fit ( self ) : n _ samples = self. n _ samples point = self. beta. random _ point ( n _ samples ) samples = self. beta. sample ( point, n _ samples * 10 ) fits = self. beta. maximum _ likelihood _ fit ( samples ) expected = self. beta. belongs ( fits ) result = gs. array ( [ true ] * n... | [
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def tcid ( self, value : str ) : self. set ( " tcid ", value ) | [
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def delete _ list ( id ) : # first make sure the user is logged in if check _ if _ user _ logged _ in ( ) : user _ email = session ['user _ email'] try : # remove list item from dictionary shopping _ list _ app. delete _ shopping _ list ( id, user _ email ) # display success message and redirect if all went well flash ... | [
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def getduotriofromalignmentls ( self, db _ vervet, alignmentls ) : sys. stderr. write ( " getting duos and trios from % s alignments... " % ( len ( alignmentls ) ) ) pedigreegraphdata = db _ vervet. constructpedgreegraphoutofalignments ( alignmentls ) dg = pedigreegraphdata. dg individual _ id2alignmentls = pedigreegra... | [
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def _ add _ rule ( self, rule, rule _ type ) : if rule is not none and rule not in self. _ rules _ set : self. _ rules _ set [ rule ] = none | [
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def del _ exception ( plate, position ) : new _ plate = np. zeros ( ( plate. shape [ 0 ] - 1, plate. shape [ 1 ], plate. shape [ 2 ] ) ) new _ plate [ : position, :, : ] = plate [ : position, :, : ] print position new _ plate [ position :, :, : ] = plate [ position + 1 :, :, : ] return new _ plate | [
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def initialize ( self, state : fieldbase, info : optional [ infodict ] = none ) - > float : if self. show _ time : t _ initial = 0 if info is none else info. get ( " t _ start ", 0 ) else : t _ initial = none self. _ viewer = napariviewer ( state, t _ initial = t _ initial ) return super ( ). initialize ( state, info =... | [
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def visit _ assign ( self, new _ body, node ) : assign _ id = self. create _ ast _ component ( node, component. assign ) self. create _ composition ( assign _ id, * self. composition _ edge ) new _ targets = [ ] assign _ calls = [ ] for index, target in enumerate ( node. targets ) : self. composition _ edge = ( assign ... | [
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def recv _ data _ in _ chunks ( self, sock ) : buff _ size = 4096 # 4 kib part = " " data = b'' while true : part = sock. recv ( buff _ size ) data + = part if len ( part ) < buff _ size : # either 0 or end of data break return pickle. loads ( data ) | [
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def test _ taus ( ) : assert geo _ lin. taus. shape = = ( len _ ts, ) dtaus = [ np. linalg. norm ( j _ fn ( xs ) @ vs ) for xs, vs in zip ( geo _ lin. xs, geo _ lin. vs ) ] taus = np. append ( 0. 0, cumulative _ trapezoid ( dtaus, geo _ lin. ts ) ) assert np. allclose ( geo _ lin. taus, taus ) | [
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def owned ( schema ) : schema. data ['owned'] = true return schema | [
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def pixelcollision ( rect1, rect2, hitmask1, hitmask2 ) : rect = rect1. clip ( rect2 ) if rect. width = = 0 or rect. height = = 0 : return false x1, y1 = rect. x - rect1. x, rect. y - rect1. y x2, y2 = rect. x - rect2. x, rect. y - rect2. y for x in xrange ( rect. width ) : for y in xrange ( rect. height ) : if hitmask... | [
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def dataframe ( self ) : if self. _ dataframe is none : extend _ exception ( runtimeerror, " vcf data frame should be available. " ) return self. _ dataframe | [
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def teardown ( self ) : # self. _ prepare ( ) | [
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def emitfastforwardnodes ( repo, pushtonode ) : cl = repo. changelog relevantnodes = set ( pushtonode. values ( ) ) # we pre - populate the mapping of node to children by iterating the repo # and looking at parents because this lookup is indexed and much faster. # node - > set < node > clchildren = collections. default... | [
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def decompressorreader ( self, fh ) : raise notimplementederror ( ) | [
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def make _ platykurtic ( refl, zdr, kdp, rhohv, relh, nbins = 110, pdf _ zh _ max = 20000, pdf _ relh _ max = 10000, sigma _ zh = 0. 75, sigma _ relh = 1. 5, platykurtic _ dbz = true, platykurtic _ h _ iso0 = true ) : x _ vals = np. linspace ( - 1. 1, 1. 1, num = nbins ) if platykurtic _ dbz : print ('making dbz distri... | [
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def catfiles ( self, f1, f2 ) : self. appendmsg ( f1, " here is the output from the autograder : \ n - - - " ) ( wfd, tmpname ) = tempfile. mkstemp ( dir = os. path. dirname ( f2 ) ) wf = os. fdopen ( wfd, " ab " ) with open ( f1, " rb " ) as f1fd : shutil. copyfileobj ( f1fd, wf ) # f2 may not exist if autograder fail... | [
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-... |
def test _ minus ( self ) : self. assertequal ( text. assembleformattedtext ( a. bold [ a. blink ['hello ', - a. bold ['world'], '.'] ] ),'\ x1b [ 1 ; 5mhello \ x1b [ 0 ; 5m world \ x1b [ 1 ; 5m.') | [
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def _ bundle ( self ) : return super ( detectorcontainer, self ). _ bundle ( ext ='detector') | [
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def allowed ( self, value ) : pass | [
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0.5973473787307739... |
def _ eqn _ jvp _ fn ( eqn : optional [ jaxpreqn ], idx : int, tangents : np. ndarray, * invals ) - > np. ndarray : if eqn is none : # identity function return tangents new _ tangents = [ ] new _ invals = [ ] for i _ dx, i in enumerate ( invals ) : if i _ dx = = idx : inval = np. zeros ( i. aval. shape, i. aval. dtype ... | [
-0.7079148292541504,
-0.18458391726016998,
0.6958394646644592,
-0.24064083397388458,
-0.047685977071523666,
-0.7332515716552734,
0.09140101075172424,
-0.7805877923965454,
0.7135007977485657,
0.8045986890792847,
0.37713539600372314,
-0.16817572712898254,
0.10883449763059616,
-0.686330497264... |
def test _ srv _ inner _ product _ vectorization ( self ) : dim = 3 curves = gs. stack ( ( self. curve _ a, self. curve _ b ) ) tangent _ vecs _ 1 = gs. random. rand ( 2, self. n _ sampling _ points, dim ) tangent _ vecs _ 2 = gs. random. rand ( 2, self. n _ sampling _ points, dim ) result = self. srv _ metric _ r3. in... | [
-0.18918412923812866,
0.7225491404533386,
0.8053079843521118,
0.050355300307273865,
0.3019586205482483,
0.40273404121398926,
0.5159769654273987,
-1.2350696325302124,
0.06311110407114029,
0.0648823007941246,
-0.24126583337783813,
-0.21662552654743195,
-0.9074334502220154,
-1.134579896926879... |
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