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def nn ( self ) : return self. num _ nodes ( kind ='all') | [
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def plottracking ( self, show _ figure : bool = true ) - > none : if self. tracking is none : raise runtimeerror ( " tracking - related function called before tracking " ) self. tracking. plot ( show _ figure = show _ figure ) # plot tracking | [
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def get _ priority ( self ) : return self. operation. priority | [
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def serialize _ to _ json ( data : any ) - > str : return json. dumps ( data, indent = 2, separators = ( ', ',':') ) +'\ n ' | [
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def addoutedge ( self, i ) : self. outedges. append ( i ) | [
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def inputs ( self, value ) : if isinstance ( value, dict ) : self. _ update _ values ('inputs ', value ) else : raise invalidvalue ( f'value is not valid json received : { value }') | [
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def validate _ transaction _ error _ event _ count ( num _ errors = 1 ) : @ transient _ function _ wrapper ('newrelic. core. stats _ engine ','statsengine. record _ transaction') def _ validate _ error _ event _ on _ stats _ engine ( wrapped, instance, args, kwargs ) : try : result = wrapped ( * args, * * kwargs ) exce... | [
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def esperanza ( n ) : exito = 0 # veces que la carta - i = = i for _ in xrange ( n ) : mazo = range ( 1, 101 ) # lista de 100 cartas random. shuffle ( mazo ) # desordena el mazo # chequeo todo el mazo para ver si hay algun'exito ', de ser asi lo # lo sumamos. exito + = sum ( [ mazo [ i - 1 ] = = i for i in xrange ( 1, ... | [
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def begin _ time ( self, event ) : self. time _ update ( self. min _ time ) assert ( self. min _ time = = self. stime. val ) | [
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def sub _ command _ string ( self ) - > str : return " ". join ( self. sub _ commands ) | [
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def connecttomssql ( self, password ) : return pyodbc. connect ( " driver = { odbc driver 17 for sql server } ; " " server = localhost ; " " database = trachistorian ; " " uid = sa ; " " pwd = " + password ) | [
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def validate _ output _ path ( args, output, function, process _ log ) : lim _ str ='' limits = [ 0. 0, 0. 0, 0. 0, 0. 0 ] # graphs will have x and y limits parsed and used for the output directory if function : if args. xlim : temp = args. xlim limits [ 0 ] = float ( temp. split ( " - " ) [ 0 ] ) limits [ 1 ] = float ... | [
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def forward ( self, x, source ) : x = torch. cat ( [ x, source ], dim = 1 ) x = self. conv _ layers ( x ) x = self. sigmoid ( x ) return x. view ( x. size ( 0 ), - 1 ) | [
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def reset ( self ) : r = self. device. ask _ raw (': 5000 / adc2? reset = true') if r. status _ code! = 200 : raise exception ( " reset did not properly occur " ) | [
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def rename ( self, string, string _ 1 ) :... | [
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def more _ like _ post ( post, channel ) : from solariat _ bottle. db. post. base import post from solariat _ bottle. db. speech _ act import speechactmap from solariat _ bottle. db. channel. base import channel from solariat _ bottle. db. conversation import conversation from solariat. utils. timeslot import timeslot,... | [
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def reconstitute _ file ( self, file _ descriptor _ proto ) : classes = [ ] for message _ proto in file _ descriptor _ proto. message _ type : for field in message _ proto. field : if field. type = = fielddescriptorproto. type _ message : self. _ fields _ to _ resolve [ field. name ] = field. type _ name descriptor = m... | [
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def load _ segmentation _ data ( self, path ) : # loading self. ct _ scan _ segmentation, header = medpy. io. load ( path ) self. ct _ scan _ segmentation = self. ct _ scan _ segmentation. astype ( np. int16 ) # post - processing self. ct _ scan _ segmentation [ self. ct _ scan _ segmentation > = 1 ] = 1 # transposing ... | [
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def is _ prime ( n ) : if n = = 1 : return false k = 2 while k < n : if n % k = = 0 : return false k + = 1 return true | [
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def _ revoke ( self, group, rule ) : return self. _ modify _ sg ( group, rule, revoke = true ) | [
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def _ setparams ( self ) : # set ns and x parameter arrays self. ns = np. where ( self. nfree > 0 ) [ 0 ] # 0 - start index self. ns1 = self. ns + 1 # 1 - start index self. x = self. parameters [ self. ns ] self. nfrei = len ( self. x ) self. nfixi = self. n - self. nfrei # set free parameter flags self. ixi = 1 if ( s... | [
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def escape _ html ( text ) : return cgi. escape ( text, quote = true ). \ replace ( u'\ n ', u'< br / >'). \ replace ( u'\ t ', u'& emsp ;'). \ replace ( u'', u'& nbsp ;') | [
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def _ checksourceiri ( self, trow ) : # verify that the source iri is valid. if rfc3987. match ( trow ['iri'], rule ='absolute _ iri') is none : raise tablerowerror ('invalid source ontology iri string : { 0 }. '. format ( trow ['iri'] ), trow ) | [
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def confirmsignup ( self ) : pswd _ text = self. pswd _ entry. text ( ) confirm _ text = self. confirm _ entry. text ( ) if pswd _ text! = confirm _ text : # display messagebox if passwords don't match qmessagebox. warning ( self, " error message ", " the passwords you entered do not match. please try again. ", qmessag... | [
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def conv _ transpose _ block ( inputs, n _ filters, kernel _ size = ( 2, 2, 2 ), strides = ( 2, 2, 2 ), dropout _ p = 0. 0 ) : conv = tf. layers. conv3d _ transpose ( inputs, n _ filters, kernel _ size = kernel _ size, strides = strides, use _ bias = false, padding ='same') # conv = tf. nn. conv3d _ transpose ( inputs,... | [
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def create _ profile ( sender, instance, created : bool, * * kwargs ) : if created : profile. objects. create ( user = instance ) | [
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def chunks ( l, n ) : for i in xrange ( 0, len ( l ), n ) : yield l [ i : i + n ] | [
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def _ create _ conflicts _ rule ( self, issuer, provider, reason, requirements = none ) : if issuer! = provider : return packagerule ( [ - self. _ pool. package _ id ( issuer ), - self. _ pool. package _ id ( provider ) ], reason, requirements = requirements ) else : return none | [
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def _ import _ class ( self, class _ path ) : class _ path = class _ path. split ( '.') module _ name = '. '. join ( class _ path [ : - 1 ] ) module = import _ module ( module _ name ) return getattr ( module, class _ path [ - 1 ] ) | [
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def is _ valid ( self ) : return email _ re. match ( self. person. get _ email ( ) ) | [
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def getscore ( self, username ) : with self. con : self. cur. execute ( " select highscore from users where name ='" + username + "'; " ) score = self. cur. fetchall ( ) for sc in score : for s in sc : return s | [
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def resample2d _ sequence ( sequence, size, timer = none ) : start _ timer ( timer, " resample2d _ sequence " ) scaled _ sequence = resample2d ( sequence, size, timer ) end _ timer ( timer ) return scaled _ sequence | [
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def _ _ init _ _ ( self, * args, * * kwargs ) : tk. text. _ _ init _ _ ( self, * args, * * kwargs ) # create a proxy for the underlying widget self. _ orig = self. _ w + " _ orig " self. tk. call ( " rename ", self. _ w, self. _ orig ) self. tk. createcommand ( self. _ w, self. _ proxy ) | [
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def get _ id ( self ) : return self. id | [
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def uniform _ mutation _ kernel ( mutation _ probability, number _ of _ strategies ) : a _ matrix = np. zeros ( shape = ( number _ of _ strategies, number _ of _ strategies ) ) for i in range ( 0, number _ of _ strategies ) : for j in range ( 0, number _ of _ strategies ) : if i! = j : a _ matrix [ i, j ] = mutation _ ... | [
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def exists ( self, file _ path ) : return self. _ interface. exists ( file _ path ) | [
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def renew _ book _ librarian ( request, pk ) : book _ inst = get _ object _ or _ 404 ( bookinstance, pk = pk ) # если данныи запрос типа post, тогда if request. method = ='post': # создаем экземпляр формы и заполняем данными из запроса ( связывание, binding ) : form = renewbookmodelform ( request. post ) # проверка вал... | [
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def make _ classifier _ combined ( n _ hidden _ layers = 3, hidden _ layer _ size = 100, activation ='tanh ', dropout _ prob = 0. 0, learn _ log _ r = false, alpha = 5., learning _ rate = 1. e - 3 ) : # inputs input _ layer = input ( shape = ( settings. n _ thetas _ features, ) ) # network hidden _ layer = dense ( hidd... | [
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def closest _ color ( r, g, b ) : colors = { ( 0x00, 0x00, 0x00 ) :'black ', ( 0x80, 0x00, 0x00 ) :'darkred ', ( 0x00, 0x80, 0x00 ) :'darkgreen ', ( 0x80, 0x80, 0x00 ) :'darkyellow ', ( 0x00, 0x00, 0x80 ) :'blue ', ( 0x80, 0x00, 0x80 ) :'darkmagenta ', ( 0x00, 0x80, 0x80 ) :'darkcyan ', ( 0xc0, 0xc0, 0xc0 ) :'lightgrey... | [
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def list _ hash ( values ) : hashed = hashlib. md5 ( ) for v in values : hashed. update ( str ( v ). encode ( ) ) return hashed. hexdigest ( ) | [
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def equalfunc ( self, data ) : return self. field. sortvalue ( data ) = = \ self. field. adjustedcomparevalue ( self. value ) | [
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def reset ( self ) : self. current _ time _ step = 0 self. current _ time = 0 self. n _ steps = 0 self. c _ ee = 0 self. c _ eh = 0 self. c _ hh = 0 self. c _ he = 0 self. eps _ r [ : ] = 1 self. mu _ r [ : ] = 1 self. sigma _ e [ : ] = 1e - 20 self. sigma _ m [ : ] = 1e - 20 | [
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def match _ all _ intents ( self, intent, ents ) : boxes = list ( filter ( lambda x : not x. finished and x. attribute! ='selected _ item ', self. boxes ) ) reply = [ ] matched _ boxes = [ ] if self. is _ done ( ) : return reply, matched _ boxes # logging. info ( " boxes left : " ) # for b in boxes : logging. info ( b ... | [
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def radixsortstatesact ( listofstates, digitsplacetoacton ) : # digits place here is 1, 10, 100, etc. digitslist = [ [ ], [ ], [ ], [ ], [ ], [ ], [ ], [ ], [ ], [ ] ] # 2d list. first level is 0 - 9 for digits, second level will be for records found with them intermediarylist = [ ] for record in listofstates : digitsl... | [
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def rescale ( im : np. ndarray, fac : float, interp _ down : int = cv. inter _ cubic, interp _ up : int = cv. inter _ cubic, ) - > np. ndarray : w, h = im. shape [ : 2 ] [ : : - 1 ] nw, nh = ( max ( 1, int ( fac * w ) ), max ( 1, int ( fac * h ) ) ) im _ dst = resize ( im, width = nw, height = nh, interp = interp _ dow... | [
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def compute _ centroids ( features _ matrix, weight = ( 1., 1., 1., 1., 0. 75 ), var _ names = ('dbz ','zdr ','kdp ','rhohv ','h _ iso0'), hydro _ names = ('ag ','cr ','lr ','rp ','rn ','vi ','ws ','mh ','ih / hdg'), nsamples _ iter = 20000, external _ iterations = 30, internal _ iterations = 10, alpha = 0. 01, cv _ ap... | [
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def is _ in _ stock ( row : list ) - > bool : stock = row [ stock _ col _ idx ]. lower ( ) return stock = = " yes " | [
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async def _ check _ server _ disconnected ( self ) - > none : if ( self. _ transport and self. _ transport. state = = transportstate. server _ disconnected ) : await self. close ( ) raise servererror ( " connection closed by the server ", self. _ transport. last _ connect _ result ) | [
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def action _ map ( self, action _ number ) : return harvest _ actions [ action _ number ] | [
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def finished ( s ) : # type : ( state ) - > bool return s. status = = finished | [
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def de _ tuple ( double _ tuple ) : listed _ tuple = [ ] for down in range ( len ( double _ tuple ) ) : mini _ list = [ ] for along in double _ tuple [ down ] : mini _ list. append ( along ) listed _ tuple. append ( mini _ list ) return listed _ tuple | [
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def _ _ init _ _ ( self, * args ) : _ topods. topods _ iterator _ swiginit ( self, _ topods. new _ topods _ iterator ( * args ) ) | [
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def get _ hgnc _ ids ( self, * confidence _ levels : str ) : return self. select _ from _ genes ( " hgnc _ id ", * confidence _ levels ) | [
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def functions ( args, paths, process _ log, exp ) : # make sure at least one data set is specified if not args. u and not args. od : print ('error : data set not specified.') if args. u : # parse function takes log file and exports u csv if args. parse : with open ( exp + paths ['log file'] + '. dat') as f : # open inp... | [
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def image ( title, desc, image _ name, group = none, height = none ) : ie = {'type':'image ','title': title,'description': desc,'plot file': image _ name, } if group : ie ['group'] = group if height : ie ['height'] = height return ie | [
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def test _ node _ annotations _ a _ add _ k _ delete _ a _ add ( ) : annotation _ key = random _ name ( ) annotation _ value = random _ name ( ) # get node details client, node = \ get _ node _ details ( cluster _ detail [ " cluster " ], cluster _ detail [ " client " ] ) node _ name = node. nodename node _ annotations ... | [
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def generate _ time _ prefix ( file _ name ) : time = datetime. datetime. now ( ). strftime ('% d % m % y % i % m % s') return time +'_'+ file _ name | [
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def _ _ init _ _ ( self, root, transform, target _ transform = none, loader = albumentations _ loader, target _ loader = json _ loader ) : print ('initing...') self. images = glob. glob ( os. path. join ( root,'* / * *. jpg') ) self. samples = [ ( ipath, ipath. replace ('_ crop. jpg ','_ metadata2. json') ) for ipath i... | [
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def test _ _ get _ covars _ from _ kwargs _ fails ( covars, error _ msg ) : with pytest. raises ( exception ) as e : covars _ candidate _ float _ tensor = _ _ get _ covars _ from _ kwargs ( covars ) assert str ( e. value ) = = error _ msg | [
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def partition ( list, low, high ) : mid = ( low + high ) / 2 if list [ mid ] < list [ low ] : list [ mid ], list [ low ] = list [ low ], list [ mid ] if list [ high ] < list [ low ] : list [ high ], list [ low ] = list [ low ], list [ high ] if list [ mid ] < list [ high ] : list [ mid ], list [ high ] = list [ high ],... | [
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def _ inc ( self, val ) : assert ( len ( val ) = = self. sequence _ length ) return self. sequence _ string [ ( self. sequence _ string. index ( val ) + 1 ) % len ( self. sequence _ string ) ] | [
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def test _ callbackresultchangesnextcallbackargument ( self ) : sd = synchronousdeferred ( " foo " ) sd. addcallback ( lambda r : 42 ) l = [ ] sd. addcallback ( l. append ) self. assertequals ( l, [ 42 ] ) | [
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def get _ change _ filter _ fn _ for _ buildbot _ commands ( accepted _ values = [ ] ) : assert type ( accepted _ values ) = = list accepted _ values = set ( accepted _ values ) def filter _ fn ( change ) : cur _ value = change. properties. getproperty ('buildbot _ commands ', [ ] ) assert type ( cur _ value ) = = list... | [
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def read _ in _ game _ tables ( path _ ) : # | [
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def get _ queryset ( self, pk = none ) : django _ user = djangouser. objects. get ( username = self. request. user. username ) return userpreferences. objects. filter ( user = django _ user ) | [
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def operate ( self, parameter ) : pass | [
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def check ( projects, index _ url = pypi. pypi _ index _ url ) : log = logging. getlogger ('ciu') log. info ('{ 0 } top - level projects to check '. format ( len ( projects ) ) ) print ('finding and checking dependencies...') blockers = dependencies. blockers ( projects, index _ url ) print ('' ) for line in message ( ... | [
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-... |
def is _ staff ( self ) : # simplest possible answer : all admins are staff return self. is _ admin | [
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def get _ misp _ object ( misp _ url, misp _ key, use _ ssl = false ) : return pymisp ( misp _ url, misp _ key, use _ ssl ) | [
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def find _ exposures ( self, sky, bandlist ) : # bra, bdec = sky epaths, bands = [ ], [ ] for band in bandlist : if band not in self. headers : continue for expid in self. headers [ band ]. keys ( ) : hdr = self. headers [ band ] [ expid ] imsize = hdr [ " naxis1 " ], hdr [ " naxis2 " ] wcs = self. wcs [ band ] [ expid... | [
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def randomize ( self ) : rows, cols = self. weights ( ). shape max _ val = 0. 1 self. _ weights = np. random. randn ( rows, cols ) * max _ val rows, = self. biases ( ). shape mu = 1 self. _ biases = np. zeros ( rows ) self. _ biases. fill ( mu ) | [
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def winbio _ winbiofree ( jitter ) : ret _ ad, args = jitter. func _ args _ stdcall ( [ " address " ] ) raise runtimeerror ('api not implemented') jitter. func _ ret _ stdcall ( ret _ ad, ret _ value ) | [
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def distribution _ to _ text ( distribution, minutes = false ) : if minutes : # for tstar, convert the mean value to a string representing the time. hours = int ( distribution. mean / 60 ) minutes = int ( distribution. mean % 60 ) if distribution. mean > = 780 : hours - = 12 elif distribution. mean < 60 : hours + = 12 ... | [
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def get _ losses ( n, hess _ scale _ init = float ( 1 ) ) : def func _ loss ( y _ true, y _ pred ) : loss _ val = tf. keras. losses. mse ( y _ true, y _ pred ) return loss _ val def alpha _ loss ( alpha _ true, alpha _ pred ) : loss _ val = ( n + 1 ) * tf. keras. losses. meansquarederror ( ) ( alpha _ true, alpha _ pre... | [
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def is _ power ( num ) : if num = = 0 : return false if num = = 1 : return true for p in range ( 2, 33 ) : for res in range ( 2, int ( num * * ( 1. 0 / p ) ) + 2 ) : if res * * p = = num : return true return false | [
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def search _ loop ( camera ) - > none : assert isinstance ( camera, cv2. videocapture ),'invalid camera object passed'process _ this = true faces = [ ] while true : ret, frame = camera. read ( ) if process _ this : faces = prc. process _ faces ( frame ) process _ this = not process _ this prc. assign _ faces ( faces ) ... | [
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def reverse ( self, queue = none ) : result = self. _ new _ like _ me ( ) self. _ reverse ( result, self ) return result | [
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def station _ stats ( df ) : print ('\ ncalculating the most popular stations and trip... \ n') start _ time = time. time ( ) # display most commonly used start station start = df. groupby ('start station'). size ( ). sort _ values ( ascending = false ) print ( " the most popular starting station was { } with { } trips... | [
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def get _ field _ type ( self ) : return self. field _ type | [
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def lazy _ generate _ modules ( model, loader ) : model. eval ( ) for minibatch, labels in loader : with torch. no _ grad ( ) : # some sanity prints on the minibatch and labels print ( " minibatch = { } / { } | labels = { } / { } ". format ( minibatch. shape, minibatch. dtype, labels. shape, labels. dtype ) ) mb _ min,... | [
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def do _ delete ( self, node _ id ) : _ error _ code, _ msg = ramstkdatamodel. do _ delete ( self, node _ id ) # pylint : disable = attribute - defined - outside - init # it is defined in ramstkdatamodel. _ _ init _ _ if _ error _ code! = 0 : _ error _ code = 2005 _ msg = _ msg +'ramstk error : attempted to delete non ... | [
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def test _ successful _ update _ other _ user ( self ) : response = self. client. post ( self. url, { } ) self. assertredirects ( response, reverse ('tasks : home'), status _ code = 302, target _ status _ code = 200 ) self. task. refresh _ from _ db ( ) self. assertequal ( self. task. status, task. status. completed ) ... | [
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0... |
def get _ total _ dnf ( self ) : return self. ret + self. nc + self. dnq + self. dnpq + self. dsq + self. dns + self. dnp + self. ex + self. wd | [
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def index ( self ) : return self. _ dump _ or _ error ( get _ version ( ) ) | [
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def get ( self, key : int ) - > int : hashcode = self. get _ hashcode ( key ) for i, each in enumerate ( self. key [ hashcode ] ) : if each = = key : return self. value [ hashcode ] [ i ] return - 1 | [
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def get _ gene _ from _ kmer ( kmer, gene _ file ) : strand _ of = strand _ dict ( gene _ file ) gene ='initial'strand _ of ['initial'] ='none'with open ( gene _ file,'r') as file : gene _ list = [ ] sequence ='' # initial sequence which does not contain the kmer for line in file : # when reading a fasta header, update... | [
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def sliced _ wasserstein _ distance ( x _ s, x _ t, a = none, b = none, n _ projections = 50, p = 2, projections = none, seed = none, log = false ) : from. lp import wasserstein _ 1d x _ s, x _ t = list _ to _ array ( x _ s, x _ t ) if a is not none and b is not none and projections is none : nx = get _ backend ( x _ s... | [
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def transduce ( self, b, e ) : assert isinstance ( self. content _ admitter, mapping ) assert self. discard _ spacers or isinstance ( self. spacing _ admitter, mapping ) s = self. substr ( b, e ) if self. discard _ spacers or s in self. content _ admitter : if self. multiple _ transductions : return self. content _ adm... | [
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def connect _ to _ mongo ( ) : # connect to mongodb atlas client = pymongo. mongoclient ( " mongodb : / / movie _ recommendation : abdallah123456789 @ cluster0 - shard - 00 - 00. nbikg. mongodb. net : 27017, cluster0 - shard - 00 - 01. nbikg. mongodb. net : 27017, cluster0 - shard - 00 - 02. nbikg. mongodb. net : 27017... | [
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def _ _ eq _ _ ( self, other ) : if isinstance ( other, command ) : return ( self. _ cmd = = other. cmd and self. _ payload _ type. ptype = = other. payload _ type. ptype ) or ( self. _ id is not none and other. id is not none and self. _ id = = other. id ) return false | [
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def get _ instance _ history ( self, instance _ id, count ) : | [
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def get _ batchid _ from _ job ( job _ ads _ dict ) : batchid ='{ 0 }. { 1 } '. format ( job _ ads _ dict ['clusterid'], job _ ads _ dict ['procid'] ) return batchid | [
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def get _ accuracy ( true _ pts, det _ pts ) : true _ pos _ dist _ cutoff = 2 true _ pts _ by _ frame = [ ] det _ pts _ by _ frame = [ ] max _ frame = int ( np. max ( [ np. max ( txy _ pts [ :, 0 ] ), np. max ( true _ pts [ :, 0 ] ) ] ) ) for frame in np. arange ( max _ frame + 1 ) : true _ pts _ by _ frame. append ( n... | [
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def load _ checkpoint ( path, model, optimizer, scheduler, verbose = none ) : assert os. path. isfile ( path ) param _ dict = torch. load ( path, map _ location ='cpu') if model is none : model = param _ dict ['model _ class'] model. load _ state _ dict ( param _ dict ['model'] ) else : model. load _ state _ dict ( par... | [
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def getinput ( self, * args ) : return _ itkimageserieswriterpython. itkimageserieswriteriuc3iuc2 _ getinput ( self, * args ) | [
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async def test _ sending _ mqtt _ commands _ power _ unlinked ( hass : homeassistant, mqtt _ mock : mqttmockhaclient, setup _ tasmota ) - > none : config = copy. deepcopy ( default _ config ) config [ " rl " ] [ 0 ] = 2 config [ " lt _ st " ] = 1 # 1 channel light ( dimmer ) config [ " so " ] [ " 20 " ] = 1 # update of... | [
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def setup ( self ) - > none : self. nlp = spacy. blank ( " en " ) self. px = graphemestophonemes ( self. nlp, sound _ table = { " 1 " : ( " w ", " ʌn " ), " 2 " : ( " t ", " uː " ), " 3 " : ( " θ ", " riː " ), " one " : ( " w ", " ʌn " ), " two " : ( " t ", " uː " ), " three " : ( " θ ", " riː " ), " to " : ( " t ", " ... | [
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def _ _ truediv _ _ ( self, other ) : return self. _ mathematical _ operator ( self, other, operator. truediv ) | [
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def home _ team ( self ) : return self. _ teams ['home'] | [
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-0.23967048525810242,
-1.4112600088119507,... |
def cond _ exp _ monte _ carlo _ gen ( self, model, x, s, n ) : x _ in = x. copy ( ) cat _ va = [ ca for ca in s if ca in self. cat _ index ] # get categorical index s _ cu = [ cu for cu in s if cu not in self. cat _ index ] # get numerical index def get _ given _ data ( idx ) : val = np. array ( [ x [ idx ] ] ) val = ... | [
-0.22339293360710144,
0.3882805407047272,
0.6986833214759827,
0.271841436624527,
-0.7332601547241211,
0.1061241626739502,
0.04048246517777443,
0.2608528435230255,
-0.12332337349653244,
0.3771258294582367,
-0.30391833186149597,
0.19943733513355255,
0.1788889318704605,
0.32312703132629395,
... |
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