text stringlengths 25 2.19k | embedding listlengths 768 768 |
|---|---|
def sendmessage ( self, msg, formatting = none ) : # for the moment, no smiley substitution... ( todo ) self. onmessagereceived ( msg, formatting = formatting ) message = papyon. conversationmessage ( str ( msg ), formatting ) self. _ conv. send _ text _ message ( message ) | [
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def test _ get _ metadata ( self ) : pass | [
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def orderhistory ( scene, analyzer, test _ number, workbook = none, sheet _ format = none, agg _ dict = none ) : order _ history = analyzer. get _ analysis ( ) # columns _ keys = [ " datetime ", " ma " ] # columns _ values = [ k for k in global _ out [ next ( iter ( global _ out ) ) ]. keys ( ) ] if scene [ " save _ db... | [
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def expand _ at ( self, state ) : node = self. states _ to _ nodes [ state ] assert node. state in self. states _ to _ nodes, " only visited states can be expanded " assert id ( self. states _ to _ nodes [ node. state ] ) = = id ( node ), " node needs to be inside the explicit graph " assert not node. expanded assert n... | [
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def writebatchscripttemplates ( self ) : self. lxbatch _ template = " " " #! / bin / sh export atlas _ local _ root _ base = / cvmfs / atlas. cern. ch / repo / atlaslocalrootbase source $ { atlas _ local _ root _ base } / user / atlaslocalsetup. sh - - quiet alias setupatlas ='source $ { atlas _ local _ root _ base } /... | [
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def profile _ decorator ( func ) : @ wraps ( func ) def wrapped ( * args, * * kwargs ) : " " " allows us to wrap the call we want in other functions " " " import cprofile import pstats from io import stringio profiler = cprofile. profile ( ) text = stringio ( ) profiler. enable ( ) wrap _ func = func ( * args, * * kwar... | [
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def add _ affine _ constraint ( self, param, constraint _ type, a = 1. 0, b = 0. 0 ) : indices = self. parameter _ indices try : for p in param : indices = indices [ p ] except keyerror : print'warning : parameter % s does not exist in % s, skipping affine constraint - - % s, % s, % s'% ( param, self, constraint _ type... | [
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def receive _ message ( self, message : messages. basemessage ) : if issubclass ( message, messages. baseactionmessage ) : if not self. validate _ action ( message ) : return super ( targettableblock, self ). receive _ message ( message ) | [
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def basepath ( request ) : if request. is _ secure ( ) : scheme ='https : / /'else : scheme ='http : / /'return scheme + request. get _ host ( ) + settings. subpath | [
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def checkargs ( args ) : if len ( args ) = = 2 : try : p = int ( args [ 1 ] ) except valueerror : return false return 1024 < = p < = 65535 else : print ( " incorrect # of args " ) return false | [
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def normalcdf ( x : float, mean : float, variance : float ) - > float : return ( 1 + math. erf ( ( x - mean ) / math. sqrt ( 2 * variance ) ) ) / 2 | [
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def acl6perhits ( self ) : try : return self. _ acl6perhits except exception as e : raise e | [
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def network _ get _ all _ by _ instance ( context, instance _ id ) : return impl. network _ get _ all _ by _ instance ( context, instance _ id ) | [
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def _ update _ metadata ( self, output _ cube : cube, original _ units : unit ) - > none : new _ name = self. cube. name ( ). replace ( " { } _ threshold ". format ( probability _ is _ above _ or _ below ( self. cube ) ), " between _ thresholds ", ) output _ cube. rename ( new _ name ) new _ thresh _ coord = output _ c... | [
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def _ _ init _ _ ( self, node : yaml. node ) - > none : self. yaml _ node = node | [
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def gf _ monic ( f, p ) : if not f : return 0, [ ] else : lc = f [ 0 ] if lc = = 1 : return 1, f [ : ] else : return lc, gf _ div _ const ( f, lc, p ) | [
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def published ( self, for _ user = none ) : if for _ user is not none and for _ user. is _ staff : return true status = self. status = = status _ published publish _ date = self. publish _ date is none or self. publish _ date < = now ( ) expiry _ date = self. expiry _ date is none or self. expiry _ date > = now ( ) aut... | [
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def validate ( self, data ) : original _ validation = super ( translationserializer, self ). validate ( data ) if not original _ validation : return original _ validation transltr = transltr ( ) try : translation = transltr. translate _ to _ en ( data ['original _ text'] ) except transltrerror : raise serializers. vali... | [
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def test _ contains _ middle ( ) - > none : lst = linkedlist ( ) node1 = _ node ( 1 ) node2 = _ node ( 2 ) node3 = _ node ( 3 ) node1. next = node2 node2. next = node3 lst. _ first = node1 assert ( 2 in lst ) is true | [
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def validate _ base _ sequence ( base _ sequence, rnaflag = false ) : return set ( base _ sequence ) < = ( rnabases if rnaflag else dnabases ) | [
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def pick _ item ( self, item ) : self. item = ['needle ','tube ','ether'] self. items _ collected + = 1 print ( " vous avez ramasse : ", item ) | [
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def string _ as _ list ( strng ) : lst = [ ] if type ( strng ) = = type ('' ) : try : result = eval ( strng ) if type ( result ) = = type ( [ ] ) : lst = result elif result : lst. append ( str ( result ) ) except exception : strng _ split = strng. split ( ',') for data in strng _ split : if data. strip ( ) : lst. appen... | [
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def sayname ( first, last ) : print ('{ } { } '. format ( first, last ) ) | [
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def response ( self ) : lemma = self. extract _ components ( ) return self. generate _ random _ response ( lemma ) | [
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def close ( self ) : self. connection. close ( ) self. connection = none | [
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def plotinterval ( time, upper, lower, color ='black') : if time is none : plt. plot ( upper,'- - ', color = color ) plt. plot ( lower,'- - ', color = color ) else : plt. plot ( time, upper,'- - ', color = color ) plt. plot ( time, lower,'- - ', color = color ) | [
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def pfam _ for _ pf ( self, dataframe ) : indexy = dataframe. index for i in indexy : dataframe = dataframe. rename ( index = { i : i [ : 2 ]. upper ( ) + i [ 4 : ] } ) dataframe ['pvalue'] = dataframe ['pvalue']. map ('{ :. 3e } '. format ) dataframe ['in what percentage'] = dataframe ['in what percentage']. map ('{ :... | [
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def getinittarget ( sc, regdict, rank = 1, initcc = 90 ) : # get params data = regdict ['data'] regdict ['initcc'] = initcc length = regdict ['data']. shape [ 0 ] y = regdict ['initclusternums'] clusters = regdict ['initclusters'] maxcluster = np. argpartition ( y, - rank ) [ - rank : ] [ 0 ] maxindex = np. where ( clu... | [
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def _ _ init _ _ ( self, method, url _ match, path, json = none, text = none, status _ code = 200, headers = none, max _ calls = - 1, * * kwargs ) : super ( ). _ _ init _ _ ( * * kwargs ) self. method = method self. url _ match = url _ match self. path = path self. max _ calls = max _ calls self. headers = self. defaul... | [
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def get _ list _ of _ genes _ in _ neigh ( self, list _ of _ genes, index _ list ) : list _ of _ genes _ in _ neigh = [ ] for pfam _ domain in index _ list : list _ of _ genes _ in _ neigh. append ( list _ of _ genes [ pfam _ domain ] ) return list _ of _ genes _ in _ neigh | [
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def test _ msda ( finetune _ lr = 0. 1, pretraining _ epochs = 200, pretrain _ lr = 0. 01, training _ epochs = 1000, dataset ='mnist. pkl. gz ', batch _ size = 16 ) : datasets = load _ data ( dataset ) train _ set _ x, train _ set _ y = datasets [ 0 ] valid _ set _ x, valid _ set _ y = datasets [ 1 ] test _ set _ x, te... | [
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def print _ groups ( self, out : io. textiobase = sys. stdout ) - > none : try : groups = self. make _ groups ( ) for student in range ( 1, self. num _ students + 1 ) : if student in groups [ 0 ] : group = 1 elif student in groups [ 1 ] : group = 2 else : raise exception ( f'student { student } is not listed in any gro... | [
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def _ handler _ autosample _ acquire _ status ( self, * args, * * kwargs ) : next _ state = none result = [ ] with self. _ pause _ logging ( ) : self. _ handler _ command _ acquire _ status ( * args, * * kwargs ) return next _ state, ( next _ state, result ) | [
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def expire _ messages _ for _ all _ subscription ( self, stream, expire _ time, local = false ) : if self. persistent : url _ endpoint ='/ streams / persistent / stream / { } / all _ subscription / expiremessages / { }? local = { }'\. format ( stream, expire _ time, local ) # else : # url _ endpoint ='/ streams / non -... | [
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def cosmtauscreen ( zg, e = 1. 0, dist = dust. dustspectrum ( ), scatm = ss. scatmodel ( ) ) : eg = e * ( 1 + zg ) kappa = ss. kappascat ( e = eg, scatm = scatm, dist = dist ). kappa return dist. md * kappa | [
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def _ await _ active _ commitment ( self, commitment : capacitycommitment ) - > capacitycommitment : start = time. time ( ) deadline = start + 60 now = start while commitment. state! = commitment. state. active : if now > deadline : self. deactivate ( ) log. error ('commitment % r in state % r after %. 3fs seconds.'' c... | [
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def seq2point ( input _ window _ length ) : input _ layer = tf. keras. layers. input ( shape = ( input _ window _ length, ) ) reshape _ layer = tf. keras. layers. reshape ( ( 1, input _ window _ length, 1 ) ) ( input _ layer ) conv _ layer _ 1 = tf. keras. layers. convolution2d ( filters = 30, kernel _ size = ( 10, 1 )... | [
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def sling _ servlet _ methods ( self, sling _ servlet _ methods : confignodepropertystring ) : self. _ sling _ servlet _ methods = sling _ servlet _ methods | [
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def generator _ formatter ( generator, pp, cycle ) : for i, item in enumerate ( generator ) : pp. text ( repr ( item ) ) pp. breakable ( ) # prevent iterating forever... if i > 128 : pp. text ( "... " ) pp. breakable ( ) pp. text ( " too many items to display " ) return | [
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def varslike ( self, pattern = none, by = none, engine = " re ", within = none ) : if within is none : within = self. variables search _ in = within. get ( by, within. index ). fillna ( " " ) if ( engine = = " regex " ) or ( engine = = " re " ) : import re mask = [ ( re. search ( pattern, candidate ) is not none ) for ... | [
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def _ _ init _ _ ( self, pid, _ list, priority, parent = none ) : self. pid = pid self. status = { " type " : " ready ", " list " : _ list } # _ list can be an instance of readylist or rcb self. creation _ tree = { " parent " : parent, " children " : [ ] } self. other _ resources = { } # a dictionary representing resou... | [
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def add _ celery _ chord ( self, chord, dependencies ) : body, header = inspect. get _ chord _ tasks ( chord ) header _ depend _ on = [ ] for task in header : task _ dependencies = self. add _ celery _ canvas ( task, dependencies ) header _ depend _ on. extend ( task _ dependencies ) # body needs to depend on dependenc... | [
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def job ( algorithm, train _ file _ path, test _ file _ path, full _ path, n _ trials, timeout, lcs _ timeout, export _ hyper _ sweep _ plots, instance _ label, class _ label, random _ state, cvcount, filter _ poor _ features, do _ lcs _ sweep, nu, iterations, n, training _ subsample, use _ uniform _ fi, primary _ metr... | [
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def itksmoothingrecursivegaussianimagefilterif3if3 _ cast ( * args ) : return _ itksmoothingrecursivegaussianimagefilterpython. itksmoothingrecursivegaussianimagefilterif3if3 _ cast ( * args ) | [
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def generate _ rows _ and _ columns ( self ) : print ( " grouping keys in rows and columns... " ) # for each key in the board, determine the x, y of the center of the key. this determines # the row / column a key is in keysinrow = [ 0 ] * max _ rows for index, key in enumerate ( self. keyboard. keys ) : centery = key. ... | [
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def get _ all _ hashtags _ and _ links ( tweet = tweet ) : m = re. compile ( r'http \ s + | # \ w +') return m. findall ( tweet ) | [
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def get _ nearest _ neighbor _ degree ( network ) : degrees = [ ] # to be replaced nearest _ neighbor _ degrees = [ ] # to be replaced degrees _ d = nx. degree ( network ) nnd _ dic = nx. average _ neighbor _ degree ( network ) for node in network : degrees. append ( degrees _ d [ node ] ) nearest _ neighbor _ degrees.... | [
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def loadmat ( path, var _ name = none, ret _ names = false ) : raw _ dict = spio. loadmat ( path ) if var _ name is none : values = [ ] names = [ ] for val in raw _ dict. items ( ) : if val [ 0 ] = ='_ _ globals _ _'or val [ 0 ] = ='_ _ header _ _'or val [ 0 ] = ='_ _ version _ _': continue values. append ( val [ 1 ] )... | [
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def scoring ( self ) - > int : return - 100 if self. lose ( ) else 0 | [
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def seam _ names ( self ) : rv = { } for b in self. bases. values ( ) : for s in b. seams. keys ( ) : rv [ s ] = true return rv | [
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def testtotfindchromeuprevcandidate ( self ) : stable _ ebuilds = self. _ getstableebuilds ( ) candidate = cros _ mark _ chrome _ as _ stable. findchromeuprevcandidate ( stable _ ebuilds, constants. chrome _ rev _ tot, self. sticky _ branch ) self. assertequal ( candidate. ebuild _ path, self. tot _ stable ) | [
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def handle _ get _ initial _ state ( req ) : global mazeinfo initial _ state = mazeinfo [ 0 ] return getinitialstateresponse ( initial _ state [ 0 ], initial _ state [ 0 ], initial _ state [ 2 ], initial _ state [ 3 ] ) | [
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def print _ confmat ( true _ labels, predicted _ labels, label _ names = none ) : import sys output _ str = " [ confusion matrix ] " if label _ names is not none : n _ labels = len ( label _ names. keys ( ) ) else : n _ labels = true _ labels. size if true _ labels. size! = predicted _ labels. size : sys. exit ('dimens... | [
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def _ get _ activate ( self ) : return self. _ _ activate | [
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def test _ blocked _ port ( self ) - > none : self. lookups [ " matrix. org " ] = [ ( ipv4address, " 10. 1. 2. 3 " ) ] bad _ url = quote ( " http : / / matrix. org : 8888 / foo " ) good _ url = quote ( " http : / / matrix. org / foo " ) channel = self. make _ request ( " get ", " preview _ url? url = " + bad _ url, sho... | [
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def consumer ( cond ) : logging. debug ('starting consumer thread') t = threading. currentthread ( ) with cond : cond. wait ( ) logging. debug ( " resource is available to consumer " ) | [
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def handle _ auth _ error ( ex ) : response = jsonify ( ex. error ) response. status _ code = ex. status _ code return response | [
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def projective _ forward _ homography ( src _ images, intrinsics, pose, depths ) : n _ layers, n _ batch, height, width, _ = src _ images. get _ shape ( ). as _ list ( ) # format for planar _ transform code : # rot : relative rotation, [..., 3, 3 ] matrices # t : [ b, 3, 1 ], translations from source to target camera (... | [
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def start ( self ) : self. fen _ buffer = [ ] self. moves _ buffer = [ ] self. scores _ buffer = [ ] self. idx = 0 with processpoolexecutor ( max _ workers = 7 ) as executor : files = find _ pgn _ files ( self. config. resource. play _ data _ dir ) print ( files ) for filename in files : games = get _ games _ from _ fi... | [
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def isempty ( self ) : if self. head. next = = none : return true else : return false | [
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def masks _ to _ flows ( masks ) : if masks. ndim > 2 : lz, ly, lx = masks. shape mu = np. zeros ( ( 3, lz, ly, lx ), np. float32 ) for z in range ( lz ) : mu0, _ = masks _ to _ flows ( masks [ z ] ) mu [ [ 1, 2 ], z ] + = mu0 for y in range ( ly ) : mu0, _ = masks _ to _ flows ( masks [ :, y ] ) mu [ [ 0, 2 ], :, y ] ... | [
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def match ( self, * args ) : if self. fall or not args : return true elif self. value in args : # changed for v1. 5, see below self. fall = true return true else : return false | [
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def enumerate _ layer _ fields ( self, layer ) : descriptor = self. get _ descriptor _ for _ layer ( layer ) return [ field ['name'] for field in descriptor ['fields'] ] | [
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def _ _ init _ _ ( self, id = none, domain _ name = none, fnc = increment _ by _ one, init _ val = none ) : self. _ db = none self. _ value = none self. last _ value = none self. domain _ name = domain _ name self. id = id if init _ val is none : init _ val = fnc ( init _ val ) if self. id is none : import uuid self. i... | [
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def resource _ group _ name ( self ) - > pulumi. input [ str ] : return pulumi. get ( self, " resource _ group _ name " ) | [
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def find _ nearest _ index ( array, value ) : return np. abs ( array - value ). argmin ( ) | [
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def is _ valid ( self ) : for dart, alpha _ 0 _ of _ dart in self. alphas [ 0 ]. items ( ) : if dart = = alpha _ 0 _ of _ dart : return false # no fixed point if dart! = self. alpha ( 0, alpha _ 0 _ of _ dart ) : return false # alpha _ 0 is an involution for dart, alpha _ 1 _ of _ dart in self. alphas [ 1 ]. items ( ) ... | [
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def get _ station _ sensors ( station _ ids = none, sensor _ ids = none, resolutions = none ) : # pra & sensornums = 76 & dur _ code = h & start = 2019 - 02 - 02 & end = 2019 - 02 - 04 station _ sensors = { } if station _ ids is none : station _ ids = get _ stations ( ). index for station _ id in station _ ids : url ='... | [
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def domain _ name ( self ) - > str : return self. _ values. get ('domain _ name') | [
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def get _ prod _ info ( self, product ) : return self. db. query ( product. select _ sql _ query _ info ) | [
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def test _ deny _ closing _ for _ task _ of _ others ( self ) : task2 = taskfactory ( creator = self. profile2. user, completed _ by = self. user, status = task. status. completed, visibility = task. visibilities. public ) url = reverse ( " tasks : close _ task ", kwargs = { " pk " : task2. pk } ) response = self. clie... | [
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def df _ 2 _ ambiguous _ sequence ( df _ in, cov _ df = none ) : assert'freq'in df _ in. columns # select calls with freq > 15 % df _ in = df _ in [ df _ in ['freq'] > = 0. 15 ] # aggregate calls for the same position all _ nt = df _ in. groupby ( ['pos'] ). agg ( {'mut': lambda x :''. join ( sorted ( x ) ) } ) # creat... | [
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def currently _ selected ( self ) : return self. browser. text ( self. button _ locator, parent = self ) | [
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def select _ node _ in _ tree ( self, node ) : # # gets selected _ node instance in treeview selected _ node = self. pcd _ tree. nodes _ dict [ node. legacyid ] # # opens closed treeviewnodes self. cascade _ tree _ nodes ( selected _ node ) # # selects node in treeview self. treeview. select _ node ( selected _ node ) ... | [
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def viterbi ( observation, emission, transition, initial ) : try : t = observation. shape [ 0 ] n, _ = emission. shape viterbi = np. empty ( ( n, t ) ) backpointer = np. empty _ like ( viterbi ) for t in range ( t ) : for j in range ( n ) : idx _ obs = observation [ t ] if t = = 0 : viterbi [ :, t ] = initial. t * emis... | [
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def test _ config ( self ) - > none : self. assertequal ( self. provider. _ callback _ url, callback _ url ) self. assertequal ( self. provider. _ client _ auth. client _ id, client _ id ) self. assertequal ( self. provider. _ client _ auth. client _ secret, client _ secret ) | [
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def backward ( info : dict [ str, ndarray ], weights : dict [ str, ndarray ] ) - > dict [ str, ndarray ] : # derivative of the mse at its input p dldp = - 2 * ( info ['y'] - info ['p'] ) # partial derivatives of the bias addition operation dpdn = np. ones _ like ( info ['n'] ) dpdb = np. ones _ like ( weights ['b'] ) #... | [
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def smash ( self ) - > bool : if self. level = = 0 or self. level = = self. max _ depth : return false else : new _ upper _ left = random _ init ( self. level + 1, self. max _ depth ) new _ upper _ right = random _ init ( self. level + 1, self. max _ depth ) new _ low _ right = random _ init ( self. level + 1, self. ma... | [
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def fit ( self, x, y = none ) : x = check _ array ( x, ensure _ 2d = false ) validate _ params ( self. get _ params ( ), self. _ hyperparameters ) # reshape filter function values derived from functiontransformer if x. ndim = = 1 : x = x [ :, none ] return self. _ fit ( x ) | [
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def wtrs ( self, alias, timeout ='none ', unity ='none') : if ( timeout = ='none'and unity = ='none') : line _ to _ print = " wtrs [ { 0 } ] ". format ( alias ) # + alias + " \ n " self. scn _ line _ list. append ( line _ to _ print ) else : line _ to _ print = " wtrs [ { 0 } ] ( { 1 } { 2 } ) ". format ( alias, str ( ... | [
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def handle ( req ) : data = json. loads ( req ) host = data. get ( " host " ) port = data. get ( " port ", 443 ) if host is none : raise exception ( " host required " ) username = read _ secret ( " vcenter _ account " ) password = read _ secret ( " vcenter _ password " ) template _ name = data. get ( " template " ) nam... | [
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def createlayers ( self, networksize ) : layers = [ ] for layernum, layersize in enumerate ( networksize ) : layer = [ ] for layerindex in range ( layersize ) : layer. append ( neuron ( random. uniform ( - 1, 1 ), random. uniform ( - 1, 1 ), layernum, layerindex, inputlayer = layernum = = 0, outputlayer = layernum = = ... | [
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def get _ items ( self, * ids ) : if not ids : ids = self. get _ items _ ids ( ) else : ids = ids [ 0 ] if isinstance ( ids, int ) : return self. _ request ( " items ", ids = str ( ids ) ) elif len ( ids ) < = 200 : return self. _ request ( " items ", ids = ', '. join ( str ( id ) for id in ids ) ) else : return self. ... | [
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def plot ( self ) : import matplotlib. pyplot as plt plt. plot ( self. e ) plt. show ( ) | [
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def read _ ann _ arbor _ gages ( aa _ dir = os. path. join ( homedir, aa _ dir ) ) : # initialize empty dict to hold data d = { } # loop through directory for fn in os. listdir ( aa _ dir ) : # read files d [ fn [ 0 ] ] = pd. read _ csv ( aa _ dir +'/'+ fn ) # rename columns d [ fn [ 0 ] ]. rename ( columns = {'reading... | [
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def load _ template ( self, request, obj, names = none ) : if not names : names = [ ] return self. get _ template _ loader ( request, obj ). select _ template ( names ) | [
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def predict _ captcha _ telangana ( img ) : final _ output = clean _ image _ telangana ( img ) cnts = cv2. findcontours ( final _ output. copy ( ), cv2. retr _ external, cv2. chain _ approx _ simple ) cnts = cnts [ 1 ] predictions = { } # set height and width of a digit and number of digits w _ digit = 10 h _ digit = 1... | [
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def post ( self ) : data = json. loads ( request. data. decode ( ) ) # check the username if ( " userid " not in data or data [ " userid " ] = = 1 ) : exists = users. query. filter _ by ( name = data [ " name " ] ). first ( ) if exists : error = { " success " : false, " error " : " username already in use by a register... | [
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def getsrcprotocol ( self, conn _ id ) : if not conn _ id in self. connections : return none return self. connections [ conn _ id ] | [
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def test _ 01 _ file ( self ) : api _ obj = self. image _ create ( self. rurl ) # the dest _ file's installed path. dest _ file _ name = " file " file10 _ pfmri = self. plist [ dest _ file _ name ] [ 0 ] dest _ file = os. path. join ( self. get _ img _ path ( ), dest _ file _ name ) src = os. path. join ( self. get _ i... | [
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def get _ rng _ state ( ) - > tensor : return _ get _ default _ mps _ generator ( ). get _ state ( ) | [
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def wrap _ angle ( self, angle ) : return ( angle + np. pi ) % ( 2 * np. pi ) - np. pi | [
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def connect ( ) : pg = psycopg2. connect ( " dbname = tournament " ) c = pg. cursor ( ) return pg, c | [
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async def test _ subscribe _ unsubscribe _ logbook _ stream _ big _ query ( recorder _ mock : recorder, hass : homeassistant, hass _ ws _ client : websocketgenerator ) - > none : now = dt _ util. utcnow ( ) await asyncio. gather ( * [ async _ setup _ component ( hass, comp, { } ) for comp in ( " homeassistant ", " logb... | [
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def comparison ( rankings : dict [ str, list [ str ] ], teams : dict [ str, cfr. team ], length : int ) : # select ranks to show. options = list ( rankings. keys ( ) ) selected _ names = st. multiselect ( " select rankings to compare ", options = options, default = options ) selected = { name : rankings [ name ] for na... | [
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def cassette ( tmpdir ) : cassette _ path = str ( tmpdir. join ('test. yml') ) with vcr. use _ cassette ( cassette _ path, record _ mode ='all') : urlopen ( default _ uri ) return cassette _ path | [
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def _ _ init _ _ ( self, size, offset = 0 ) : # initialize empty memory self. _ data = ['\ x00'] * size self. _ offset = offset | [
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def get _ extension ( t _ path ) : path _ parts = str. split ( t _ path, '.') extension = path _ parts [ - 1 : ] [ 0 ] extension = extension. lower ( ) return extension | [
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... |
def factoranalysis ( n = 10, p = 5, d = 2, sigma = 1, niter = 1000 ) : # # fill code here # create simulated data w _ true = np. random. normal ( 0, 1, d * p ). reshape ( p, d ) z _ true = np. random. normal ( 0, 1, n * d ). reshape ( d, n ) epsilon = np. random. normal ( 0, 1, p * n ). reshape ( p, n ) x = np. dot ( w... | [
-0.4582782983779907,
-0.08481422066688538,
0.8306730389595032,
-0.9599918723106384,
-0.7037224173545837,
-0.3187660872936249,
0.6192806959152222,
0.0365573950111866,
0.03840305283665657,
0.13229799270629883,
-0.011882076039910316,
0.3581666350364685,
-0.3125508725643158,
0.8956931233406067... |
def spectral _ resolution ( self, true _ dispersion, delta _ dispersion, axis = - 1 ) : pass | [
-0.3013289272785187,
0.10986106097698212,
0.5664445161819458,
0.31759345531463623,
0.17595742642879486,
-0.049712661653757095,
0.35166841745376587,
0.47337934374809265,
-0.7498010396957397,
-0.15372221171855927,
0.13181141018867493,
-0.20549145340919495,
-0.8462016582489014,
-0.30966937541... |
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