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def self _ check ( self ) : if self. k is not none and self. m is not none : g = self. pub. group. generator ( ) assert self. a = = self. k * g assert self. b = = self. k * self. pub + self. m * g
[ -0.021121833473443985, -0.0029951855540275574, 0.17341002821922302, 0.13213016092777252, -0.1723698079586029, 0.1401320844888687, 0.8437618017196655, -0.1395615041255951, -0.5480427742004395, -0.7872331142425537, 0.6650285720825195, -0.08570490777492523, -1.2493418455123901, 0.634865880012...
def _ _ repr _ _ ( self ) : info = " " " the samplednn class provides examples for you to build your own class. " " "
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def transform ( self, raw _ documents ) : # print ('len ( raw _ documents ) = { } '. format ( len ( raw _ documents ) ) ) # print ('raw _ documents = { } '. format ( raw _ documents ) ) # for index, value in enumerate ( raw _ documents ) : # print ( index, value ) for tokens in self. _ tokenizer ( raw _ documents ) : w...
[ -0.324337363243103, 0.11290258914232254, 0.5516871809959412, -0.7856970429420471, -0.02714800462126732, -0.48467621207237244, -0.22147633135318756, -0.13683435320854187, -0.08153153210878372, 0.7620386481285095, -0.6931414008140564, 0.2771182060241699, -0.402476042509079, 0.556400299072265...
def overwriting ( func ) : def wrapper ( self, fname, * args, * * kwargs ) : " " " check if fname exists. if it does, add number to fname. " " " i = 0 path _ exists = true while path _ exists : path _ exists = os. path. isfile ( fname ) if path _ exists : pieces = fname. split ( ". " ) path = " ". join ( pieces [ 0 : -...
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def login ( self, userd ) : user = usermodel. query. filter _ by ( email = userd ['email'] ). first ( ) if not user : user = usermodel. add ( name = userd ['name'], email = userd ['email'], picture = userd ['picture'] ) return login _ user ( user )
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def getsource ( object, alias ='', lstrip = false, enclosing = false, \ force = false, builtin = false ) : # hascode denotes a callable hascode = _ hascode ( object ) # is a class instance type ( and not in builtins ) instance = _ isinstance ( object ) # get source lines ; if fail, try to'force'an import try : # fails ...
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def _ closuredsource ( func, alias ='' ) : # fixme : this entire function is a messy messy hack # - pollutes global namespace # - fails if name of freevars are reused # - can unnecessarily duplicate function code from dill. detect import freevars free _ vars = freevars ( func ) func _ vars = { } # split into'funcs'and'...
[ -0.2830345034599304, 0.3284807801246643, 0.6485280394554138, -1.0691224336624146, -0.7292913794517517, -0.5917220711708069, 0.256458580493927, 0.06342858076095581, 0.5714829564094543, 0.000542468624189496, -0.015239933505654335, 0.7841656804084778, 0.7173722982406616, 0.5168561339378357, ...
def encrypted _ data ( self, encrypted _ data ) : if encrypted _ data is none : raise valueerror ( " invalid value for ` encrypted _ data `, must not be ` none ` " ) # noqa : e501 self. _ encrypted _ data = encrypted _ data
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def _ make _ layer ( self, block, planes, num _ blocks, stride ) : strides = [ stride ] + [ 1 ] * ( num _ blocks - 1 ) layers = [ ] for stride in strides : layers. append ( block ( self. in _ planes, planes, stride ) ) self. in _ planes = planes * block. expansion return nn. sequential ( * layers )
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def get _ all _ questions ( ) : all _ questions = questions. getall _ questions ( ) return make _ response ( jsonify ( { " message " : " success ", " meetups " : all _ questions } ), 200 )
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def removegappedcolumns ( mali, gap _ char = " - " ) : if len ( mali ) = = 0 : return mali keys = mali. keys ( ) lmali = len ( mali [ keys [ 0 ] ] ) wmali = len ( keys ) gaps _ per _ column = [ 0 ] * lmali for m in mali. values ( ) : for x in range ( lmali ) : if m [ x ] = = gap _ char : gaps _ per _ column [ x ] + = 1...
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def init _ model ( self, create _ model _ function ) : args = self. args mini _ batch _ size = self. mini _ batch _ size # restrict limits to actual size of datasets : training _ set _ length = ( len ( self. problem. train _ loader ( ) ) ) * mini _ batch _ size if hasattr ( args,'num _ training') and args. num _ traini...
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def getincrementindex ( self ) : return _ itkimageserieswriterpython. itkimageserieswriteriuc3iuc2 _ getincrementindex ( self )
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def add _ dims ( array, ant, index, nodeid, depth ) : assert ant = = tuple ( sorted ( ant ) ) # a = array. copy ( ) # a = np. expand _ dims ( a, axis = index ) # zeros _ dim = list ( a. shape ) # zeros _ dim [ index ] = depth - 1 # zeros _ dim = tuple ( zeros _ dim ) # zeros = np. zeros ( zeros _ dim, dtype = int ) # a...
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def test _ room _ light _ time ( self ) : if hardwarethread. _ hardwarethread _ _ singleton is not none : hardwarethread. _ drop ( ) # get current original value ( none ) and ensure getter returns the same original _ room _ light _ time = \ hardwarethread. _ hardwarethread _ _ room _ light _ time self. assertequal ( or...
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def _ _ init _ _ ( self ) : super ( tracer, self ). _ _ init _ _ ( ) self. lines _ trace = [ ] self. var _ traces = [ ] self. nb _ max _ entree = 400 # call, line, return, exception, opcode self. dico _ event = { " call " : true, " line " : true, " return " : false, " exception " : false, " opcode " : false }
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def bitrevered _ fft _ stage ( inp, fft _ size, stage _ nr ) : input _ stride = 2 * * stage _ nr local _ fft _ size = fft _ size / / input _ stride twiddles = toggle _ bit _ reverse ( [ w ( i, local _ fft _ size ) for i in range ( local _ fft _ size / / 2 ) ] ) packets = np. array ( np. reshape ( inp, ( local _ fft _ s...
[ -0.4497922360897064, -0.1613205075263977, 0.7482621669769287, -0.3779963254928589, -0.8500342965126038, -0.575237512588501, 1.0487223863601685, 0.41835084557533264, 0.7578591108322144, 0.4917844831943512, -0.3413749933242798, 0.19884565472602844, -0.2743566334247589, 0.5651030540466309, ...
def _ _ init _ _ ( self, n ) : self. name = n self. age = random. randint ( 18, 25 ) self. year = 1 self. num _ credits = 0
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def test _ 02 _ system ( self ) : l _ irr = self. m _ api. read _ irrigation _ xml ( self. m _ pyhouse _ obj ) l _ sys = l _ irr [ 0 ] l _ xml = self. m _ api. _ write _ one _ system ( l _ sys ) # print ( prettyformatany. form ( l _ xml,'c1 - 02 - a - system') ) self. assertequal ( self. m _ pyhouse _ obj. house. irrig...
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def cache _ model ( self ) : # self. _ index _ list. clear ( ) # self. _ source _ parent _ map. clear ( ) # self. _ index _ map. clear ( ) self. _ source _ to _ index _ map = { } # qtcore. qt. qmap ( ) self. _ index _ to _ source _ map = { } # qtcore. qt. qmap ( ) self. _ index _ list = [ ] # qtcore. qt. qlist ( ) # st...
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def call ( ser, number, duration = 0, timeout = 30 ) : ser. write ('atd % s ; \ r'% number ) res = wait _ for _ strs ( ser, call _ res _ states, timeout = timeout ) # if we receive a'cme error : 100 ', it means that we # got a busy. and for some weird reason, the data is not # streamed into the serial comm. what we do ...
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def parse _ raw _ token _ spec ( r ) : try : content = json. loads ( r ) except exception : raise valueerror ('malformed json for raw token.') if type ( content ) is dict : return content else : raise valueerror ('token must be a dictionary of attributes.')
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def fb _ create ( self, * * kwargs ) : social _ app = socialapp. objects. all ( ) [ 0 ] client _ id = social _ app. client _ id access _ token = " { 0 } | { 1 } ". format ( client _ id, social _ app. secret ) user = none fb _ post = none if kwargs. get ('fb _ uid') : # if theres a fb _ uid then were fetching an existin...
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def grid ( m, dtype = np. float32 ) : m = m * * 2 x = np. linspace ( 0, 1, m, dtype = dtype ) y = np. linspace ( 0, 1, m, dtype = dtype ) xx, yy = np. meshgrid ( x, y ) z = np. empty ( ( m, 2 ), dtype ) z [ :, 0 ] = xx. reshape ( m ) z [ :, 1 ] = yy. reshape ( m ) return z
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def test _ check _ input _ 1dlandmask ( ) : with pytest. raises ( typeerror ) : mob. check _ inputs ( chmask, basevalues _ idx = [ 0 ], window _ idx = 1, landmap = np. ones ( ( 10, 1 ) ) )
[ -0.15327101945877075, 0.5147120952606201, 0.4371929168701172, 0.9480819702148438, 0.6013338565826416, 1.2061107158660889, 0.45003142952919006, -0.7039939761161804, 0.45879068970680237, -0.7281236052513123, -0.029564885422587395, 0.5174537301063538, -0.7367073893547058, 1.1534507274627686, ...
def deserialize _ numpy ( self, str, numpy ) : try : if self. header is none : self. header = std _ msgs. msg. header ( ) end = 0 _ x = self start = end end + = 12 ( _ x. header. seq, _ x. header. stamp. secs, _ x. header. stamp. nsecs, ) = _ get _ struct _ 3i ( ). unpack ( str [ start : end ] ) start = end end + = 4 (...
[ 0.6520126461982727, -0.33964043855667114, 0.9429060816764832, -0.6921384930610657, -0.37553009390830994, 0.13455456495285034, -0.24017508327960968, -0.9229438304901123, 0.0603417232632637, -0.6083744764328003, -0.6648314595222473, -0.0746433362364769, -0.8667485117912292, -0.36070141196250...
def display ( self ) : for r in range ( len ( self. grid ) ) : for c in range ( len ( self. grid [ r ] ) ) : if ( r, c ) = = self. location : print ('* ', end = " " ) else : print ( self. grid [ r ] [ c ], end = " " ) print ( " " ) print ( " " )
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def render _ to _ reportlab _ document ( output _ filename, papersize _ tuple, manager ) : c = canvas ( output _ filename, papersize _ tuple ) render _ to _ reportlab _ canvas ( c, papersize _ tuple, manager ) c. save ( )
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def vectorized _ gaussian _ logpdf ( x, means, covariances ) : _, d = x. shape constant = d * np. log ( 2 * np. pi ) log _ determinants = np. log ( np. prod ( covariances, axis = 1 ) ) deviations = x - means inverses = 1 / covariances return - 0. 5 * ( constant + log _ determinants + np. sum ( deviations * inverses * d...
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def inject _ flight ( flight _ id : str ) - > tuple [ str, int ] : try : json = flask. request. json if json is none : raise valueerror ( " request did not contain a json payload " ) req _ body : injectflightrequest = implicitdict. parse ( json, injectflightrequest ) except valueerror as e : msg = " create flight { } u...
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def getpixelsize ( ) : andor _ solis. getpixelsize. restype = ctypes. c _ uint xsize, ysize = ctypes. c _ float ( ), ctypes. c _ float ( ) result = andor _ solis. getpixelsize ( ctypes. byref ( xsize ), ctypes. byref ( ysize ) ) check _ status ( result ) return float ( xsize. value ), float ( ysize. value )
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def validate _ metadata _ values ( metadata _ values ) : if metadata _ values is none : return none if not isinstance ( metadata _ values, dict ) : raise typeerror ( f'` metadata _ values ` can be ` dict `, got { metadata _ values. _ _ class _ _. _ _ name _ _ } ; { metadata _ values! r }.') if not metadata _ values : r...
[ -0.271037757396698, -0.09998232871294022, 0.46697139739990234, -0.22191792726516724, 0.19938698410987854, 0.5550228953361511, -1.00082266330719, -0.06533383578062057, -0.5485351085662842, 0.26738524436950684, 0.567510724067688, 0.5019161105155945, 0.5891645550727844, 0.9738215804100037, ...
def test _ fit _ not _ contant ( self, select _ mock ) : # setup candidate = magicmock ( ) candidates = [ candidate ] distribution = univariate ( candidates ) # run data = np. array ( [ 1, 2, 3, 4, 5 ] ) distribution. fit ( data ) # assert assert distribution. fitted assert distribution. constant _ value is none # cand...
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def test _ update ( subtests, etcd _ client, prefix ) : etcd _ client. set ( " { } / read / 1 ". format ( prefix ), " one " ) etcd _ client. set ( " { } / read / 2 ". format ( prefix ), " two " ) etcd _ client. set ( " { } / read / 3 / 4 ". format ( prefix ), " three / four " ) # update existent fields with subtests. t...
[ -0.08649184554815292, -0.22314122319221497, 0.7778132557868958, -0.9590850472450256, -0.43160736560821533, 0.4806188941001892, -0.035280436277389526, 0.18795612454414368, 0.0007261706050485373, -0.055008675903081894, 0.18024450540542603, 0.21265809237957, -0.2974577844142914, -0.8901604413...
def num _ diffs ( state ) : number _ of _ differences = 0 # if letter! = next letter, increment counter for n in range ( len ( state ) - 1 ) : if state [ n ]! = state [ n + 1 ] : number _ of _ differences + = 1 return number _ of _ differences
[ -0.6816452145576477, 0.45032036304473877, 0.5843116044998169, -0.748018741607666, -0.43714573979377747, 0.11226892471313477, 1.1974366903305054, 0.27694642543792725, 1.2123503684997559, -0.7584056854248047, -1.688736915588379, 0.2528705596923828, -0.21672272682189941, 0.6656414270401001, ...
def get _ name ( self ) : return " test _ name _ " + self. ty
[ -0.35249096155166626, -1.0346518754959106, 0.56976717710495, -0.6223201751708984, 0.09863587468862534, 0.5659680366516113, 0.5049130320549011, -0.8950096964836121, 0.3751251697540283, 0.9055379629135132, -0.06760544329881668, 0.18581481277942657, -0.3159395456314087, 0.10048788785934448, ...
def seek ( self, offset, whence = io. seek _ set ) : pass
[ -0.3550494909286499, 0.09479883313179016, 0.4768543243408203, 0.11765755712985992, -0.15296895802021027, 0.67718505859375, 0.505843997001648, -0.6862912178039551, -0.4705837666988373, -1.3573954105377197, 0.19278088212013245, 0.598026692867279, 0.0326511412858963, -0.6877083778381348, -0...
def close ( self ) : self. sock. close ( ) self. stats. disconnect ( ) self. logger. log _ v ( " socket closed " )
[ 0.4092811942100525, -0.17667047679424286, 0.6500696539878845, -0.756245493888855, -0.3157919645309448, 0.7949709892272949, 0.45636019110679626, -0.5055602192878723, 0.17294356226921082, -1.080448031425476, 0.7263455986976624, 0.9431061148643494, 0.3398834466934204, 0.7757139205932617, 0....
def test _ dynamic _ overlay _ memoization ( self ) : def fn ( x, y ) : return scatter ( [ ( x, y ) ] ) dmap = dynamicmap ( fn, kdims = [ ], streams = [ positionxy ( ) ] ) counter = [ 0 ] def fn2 ( x, y ) : counter [ 0 ] + = 1 return image ( np. random. rand ( 10, 10 ) ) dmap2 = dynamicmap ( fn2, kdims = [ ], streams =...
[ -0.6822023987770081, 0.45319581031799316, 0.827170729637146, 0.3175552785396576, 0.08560991287231445, -0.5243896842002869, 1.1320644617080688, -0.26672688126564026, 0.8109527230262756, -1.222782850265503, -0.6164333820343018, -0.29720553755760193, 0.10993249714374542, 0.14219899475574493, ...
def play ( self, app _ config : appconfig, volume _ adjustment = 0 ) : if self. interface : self. interface. play _ sound ( self. get _ absolute _ path ( app _ config ), volume _ adjustment = volume _ adjustment )
[ 0.9545300006866455, -0.6581950187683105, 0.48656195402145386, 1.0952951908111572, 0.5498195290565491, 0.8910598754882812, 0.4741290211677551, -0.28564706444740295, 0.06915487349033356, 0.4190045893192291, 1.0503031015396118, -0.06381373852491379, -0.004002145957201719, 0.5057744383811951, ...
def normalize _ content ( content, codif ='utf8') : try : return remover _ acentos ( content, codif ). upper ( ) except unicodedecodeerror as e : raise exceptions. criticalerrorexception ('utf - 8 was not able to normalize this content : ('+ str ( e ) +') maybe you should try to use encode _ literal _ utf _ 8 _ string ...
[ 0.5911351442337036, -0.321265310049057, 0.3744022846221924, 0.2738349437713623, -0.5898528695106506, -0.05778777599334717, -0.4795643389225006, 0.2687259614467621, 0.31683263182640076, 0.5928787589073181, 0.6010207533836365, -0.5114479660987854, -0.4896262288093567, -0.7274703979492188, ...
def deg ( rad, dms = false ) : d = rad * ( 180. / pi ) if dms : m = 60. 0 * ( d % 1. ) return floor ( d ), floor ( m ), round ( 60 * ( m % 1. ), 4 ) else : return d
[ -0.768450140953064, 0.6942440271377563, 0.4494086802005768, -1.444884181022644, -0.21696431934833527, 0.06188685819506645, 0.15507835149765015, 0.026112310588359833, -0.038528140634298325, -0.3282150328159332, -0.16855892539024353, -0.8175497651100159, -0.49790841341018677, 0.3363745212554...
def get _ metric _ type ( line ) : return is _ metric _ line ( line ) and get _ field ( metric _ type _ field, line, metric _ field _ count )
[ 0.7938979864120483, 1.1562480926513672, 0.34660759568214417, 0.8473221659660339, 1.0158905982971191, 0.04958236962556839, 0.6562360525131226, -1.0268096923828125, -0.989715576171875, 0.027241889387369156, 0.06456070393323898, -0.285335898399353, -0.3091895878314972, -0.6041665077209473, ...
def test _ get ( subtests, etcd _ client, prefix ) : # test general get case with key = value with subtests. test ( " inserted keys should be able to be retrieved " ) : etcd _ client. set ( " { } / get - test / key ". format ( prefix ), " value " ) assert etcd _ client. get ( " { } / get - test / key ". format ( prefix...
[ -0.20415401458740234, 0.6150389909744263, 0.45532503724098206, -0.47721853852272034, 0.3314451277256012, -0.013448361307382584, -0.607185959815979, -0.013838974758982658, -0.593070924282074, -0.26784640550613403, 0.32058045268058777, 1.0885332822799683, -0.15905579924583435, -0.29715847969...
def request _ reboot ( pending = true, immediately = false, delay = 10, reason = " unknown " ) : if pending or _ _ context _ _. get ( " power. request _ reboot ", false ) : if immediately : log. warn ( " performing system reboot immediately because of reason'{ : }'". format ( reason ) ) # trigger a reboot event _ _ sal...
[ -0.6206759214401245, 0.23461034893989563, 0.8295680284500122, 0.5090910792350769, 0.008243981748819351, -0.8706414699554443, -0.9617040157318115, 0.6874635219573975, 0.5674364566802979, -0.2260066717863083, 0.8790924549102783, 0.30340439081192017, -0.8482052683830261, 0.3449161946773529, ...
def check _ semantic _ type ( self, semantic _ types ) : # the semantic types can be multiple types matched _ semantic _ type = [ s _ type for s _ type in semantic _ types if s _ type in self. vocabulary. keys ( ) ] semantic _ type = matched _ semantic _ type and matched _ semantic _ type [ 0 ] or false return semantic...
[ 0.10304874926805496, -0.1395190805196762, 0.4136892259120941, 0.592605710029602, 0.455342173576355, -0.3139294385910034, -0.8530720472335815, 0.022589916363358498, 0.5103887915611267, 0.6635356545448303, 0.9243289828300476, 0.020681072026491165, -1.318156361579895, 0.5338802337646484, -0...
def forward ( self, x ) : p, s = self. padding, self. stride x _ padded = np. pad ( x, ( ( 0, 0 ), ( p [ 0 ], p [ 0 ] ), ( p [ 1 ], p [ 1 ] ) ), mode ='constant') # check dimensions assert ( x. shape [ 1 ] - self. kernel _ size [ 0 ] + 2 * p [ 0 ] ) / s [ 0 ] + 1 > 0, \'height doesn \'t work'assert ( x. shape [ 2 ] - s...
[ 0.33604753017425537, -0.025800509378314018, 1.0626928806304932, 0.147125244140625, -0.0622272752225399, -0.28064626455307007, -0.2969854176044464, 0.03665917366743088, 0.45793047547340393, -0.03840723633766174, -0.34115996956825256, 0.1312652826309204, 0.05072448402643204, 0.64404356479644...
def _ perform _ calculation ( self, operator : operator ) - > none : x = self. _ buffer. pop ( ) if len ( self. _ buffer ) > 0 : value = operator. compute ( self. _ buffer. pop ( ), x ) self. _ buffer. append ( value ) else : self. _ try _ unary _ operation ( operator, x )
[ 0.036616530269384384, 1.1751811504364014, 0.8402454257011414, 0.4209982454776764, -0.08905720710754395, -0.40974846482276917, 0.1007685661315918, -0.09209217131137848, 0.14261429011821747, -0.13067546486854553, -0.4442904591560364, -0.7264286279678345, -0.20790615677833557, 0.0734332948923...
def target _ model ( self, target _ model ) : allowed _ values = [ " team ", " portal ", " template ", " imagefolder ", " design " ] if target _ model not in allowed _ values : raise valueerror ( " invalid value for ` target _ model ` ( { 0 } ), must be one of { 1 } ". format ( target _ model, allowed _ values ) ) self...
[ -1.2139455080032349, -0.06193927675485611, -0.29304033517837524, 0.4912053942680359, 0.309910386800766, 1.4280346632003784, 0.28634113073349, 0.42387640476226807, -0.8649467825889587, -0.010639235377311707, -0.4604310393333435, 0.1667737513780594, 0.5484930872917175, -0.19927434623241425, ...
def _ _ log ( buf, entry ) : buf. write ( entry )
[ 0.6060987710952759, -0.9049179553985596, 0.31497570872306824, -1.2858283519744873, 0.6527780890464783, 0.24526436626911163, -0.4041554033756256, 0.3386019170284271, -0.05453695356845856, -0.09651494771242142, -0.8722545504570007, 1.156129240989685, 0.06798745691776276, -0.5666348338127136,...
def unload _ type ( t, left, right, boat ) : if len ( boat. contents ) = = 0 : return 0 if boat. side = = 0 : active _ list = left else : active _ list = right try : x = boat. contents. index ( t ) active _ list. append ( boat. contents. pop ( x ) ) return 1 except valueerror : # no such creature left return 0
[ -1.2289636135101318, -0.40977510809898376, 0.6583826541900635, -1.4839372634887695, 0.3348439037799835, -0.030423404648900032, 0.028304820880293846, -0.23582935333251953, -1.0508121252059937, 1.0517723560333252, -0.28265488147735596, -0.31613409519195557, -0.8330374956130981, -0.2281650602...
def process _ all ( self, dataset, cnn _ layer, save ) : self. _ init _ net ( mode ='dataset') num _ examples = dataset. shape [ 0 ] blobs = [ self. net. blobs [ l ]. data. copy ( ). squeeze ( ) for l in cnn _ layer ] features = np. zeros ( ( num _ examples, np. hstack ( blobs ). shape [ 1 ] ) ) iterations = int ( roun...
[ -0.0006081665051169693, -0.33205100893974304, 0.8893804550170898, 0.1894415020942688, 0.7588405013084412, -0.6964876651763916, 0.9292740225791931, 0.01801150105893612, -0.4558635950088501, 0.6000152826309204, -1.071961760520935, 0.17084679007530212, -0.1905871033668518, 1.3390092849731445,...
def test _ packages ( self ) : self. asserttrue ( self. check _ package _ output ( " java - version ",'openjdk version " 1. 8 ', true ) ) self. asserttrue ( self. is _ package _ present ( " mvn " ) ) self. asserttrue ( self. is _ package _ present ( " gradle " ) )
[ 0.17005468904972076, -0.0737541988492012, 0.4241045415401459, 0.1580432504415512, 0.6779119372367859, 1.0536506175994873, 0.17790277302265167, 0.011646043509244919, 0.1872985064983368, 0.2147604376077652, -0.4134344458580017, -0.6635268926620483, 0.10784099996089935, 0.8789454698562622, ...
def construct _ term _ dict ( self, key, value ) : term _ dict = dict ( ) term _ dict [ " concept name " ] = key term _ dict [ " positional info " ] = value [ 0 ] term _ dict [ " semantic types " ] = self. vocabulary [ value [ 1 ] ] [ 0 ] term _ dict [ " sources " ] = value [ 2 ] return term _ dict
[ -0.40842998027801514, -0.5275906324386597, 0.42300087213516235, -1.458707571029663, -1.0234744548797607, -0.44982245564460754, -0.886374294757843, 0.09537171572446823, -0.8567243814468384, 0.6387354135513306, -0.41042980551719666, -0.43171659111976624, 0.33727604150772095, 0.12119929492473...
def provisioning _ state ( self ) - > pulumi. output [ str ] : return pulumi. get ( self, " provisioning _ state " )
[ 0.26504838466644287, -0.5235426425933838, 0.2356261909008026, 0.14276067912578583, -0.10754995793104172, 0.9865447282791138, -0.11480506509542465, 0.31414350867271423, 0.8774012327194214, 0.6819149255752563, 0.2214599996805191, 0.26798978447914124, 0.34951168298721313, -1.045824408531189, ...
def test _ setup _ template _ name _ and _ pattern ( self ) : self. render _ config ( ) exit _ code = self. run _ beat ( logging _ args = [ " - v ", " - d ", " * " ], extra _ args = [ " setup ", self. cmd, " - e ", " setup. template. name = " + self. custom _ template, " - e ", " setup. template. pattern = " + self. cu...
[ -0.28530532121658325, -0.6209620237350464, 0.6836203932762146, -1.0564576387405396, 0.1380055993795395, 0.6207883358001709, 0.6261267066001892, 0.6621069312095642, 0.11255551874637604, 0.4997536540031433, -0.5929594039916992, 0.15689323842525482, 0.16740339994430542, -0.06864811480045319, ...
def _ _ init _ _ ( self, width : int, height : int ) : self. width = width self. height = height
[ -0.020748089998960495, -0.6276051998138428, 0.7181729674339294, 0.30621033906936646, -0.6473192572593689, -0.23193016648292542, -0.4511224627494812, -0.03310900554060936, 0.00046660981024615467, -0.6928291320800781, -0.175198033452034, 0.16092199087142944, -0.06158239394426346, 0.958414971...
def new _ ip ( self ) : result = self. api. query ( ). ips. post ( { " organization " : self. org _ id } ) ['ip'] print ( result ) new _ ip = ip ( self, result ) self. ips. add ( new _ ip ) return new _ ip
[ -1.205177903175354, -0.5349637866020203, 0.48220759630203247, 0.46242114901542664, -0.34877389669418335, -0.03327920660376549, -0.9757968783378601, 0.5649352073669434, 0.32339805364608765, -0.08319128304719925, 0.4957006573677063, -0.44371795654296875, -0.8814646601676941, -1.3073191642761...
def get _ module _ defined _ k8s _ ver ( k8s _ version _ opts, env _ name ) : if isinstance ( k8s _ version _ opts, six. string _ types ) : return k8s _ version _ opts if k8s _ version _ opts. get ( env _ name ) : return k8s _ version _ opts. get ( env _ name ) if k8s _ version _ opts. get ( " * " ) : return k8s _ vers...
[ -0.30252373218536377, -1.1649158000946045, 0.65593421459198, 0.6372798681259155, 0.14742925763130188, 0.26346707344055176, -1.2739688158035278, -0.8099008202552795, 0.45135125517845154, 1.1750046014785767, 0.18500015139579773, 1.1817537546157837, -0.15419453382492065, -0.05497677996754646,...
def test _ list _ alumno _ docente ( self ) : self. client. force _ authenticate ( user = self. user _ docente ) response = self. client. get ( " / api / alumnos / list / " ) self. assertequal ( response. status _ code, status. http _ 200 _ ok ) self. assertequal ( response. data. get ( " count " ), 4 )
[ 0.20726795494556427, 0.6482254266738892, 0.4230773448944092, -0.05230345577001572, 0.5681779980659485, 0.8798531293869019, -0.8833602666854858, 0.4418491721153259, 0.17045876383781433, -0.5532833337783813, -0.7773386240005493, 0.8262069821357727, 1.676737904548645, -0.5792608261108398, -...
def filtercoloredpolygons ( self, polygons, color ) : if polygons = = none : return none filtered = [ ] for p in polygons : xc, yc = p. findcenter ( ) x, y = self. _ reversecoordinates ( xc, yc ) pixelcolor = self. getpixelat ( x, y ) if numpyimage. _ isrightcolor ( pixelcolor, color ) : filtered + = [ p ] return filte...
[ 0.4792954623699188, -0.7752570509910583, 0.7381943464279175, -0.03243236616253853, -0.1304265856742859, 0.5001925230026245, -0.9937396049499512, -0.9804122447967529, 0.9970750212669373, 1.3807270526885986, -0.228523388504982, 0.5488597750663757, -0.38720765709877014, -0.24479921162128448, ...
def fbdisconnect ( ) : fb _ id = login _ session ['facebook _ id'] access _ token = login _ session ['access _ token'] url ='https : / / graph. facebook. com / % s / permissions? fb _ exchange _ token = % s'% ( fb _ id, access _ token ) h = httplib2. http ( ) # remove the access token for this user from fb's server : r...
[ 0.17192433774471283, -0.9153647422790527, 0.7090265154838562, -0.21103422343730927, -0.2978243827819824, -0.38201460242271423, -0.26984500885009766, -0.02169746533036232, 0.6185398697853088, -0.06400977820158005, -0.037044163793325424, 0.21806654334068298, -0.6516963243484497, -0.801634132...
def farm _ ram _ menu _ default ( self, rop _ path ) : return 0
[ -0.21801160275936127, -0.3964598774909973, 0.48635220527648926, 1.640291690826416, 1.0272979736328125, -0.43956494331359863, 1.202622890472412, 0.3114033341407776, 0.36956986784935, -0.4838046133518219, 0.06802114844322205, -0.483814001083374, -0.7721308469772339, -0.3264341354370117, -0...
def check _ for _ setup _ error ( self ) : pass
[ -0.5908896923065186, -0.5585336685180664, 0.2828943431377411, 0.6358249187469482, 0.7911310195922852, -0.08871813118457794, 1.0897881984710693, 0.05621735006570816, -0.2904813587665558, 0.5646708011627197, 0.7649942636489868, -0.16630417108535767, -0.20942160487174988, 1.1185040473937988, ...
def test _ phantom _ alignment ( data _ path, air _ path ) : data = np. squeeze ( loadmat ( data _ path ) ['cc _ struct'] ['data'] [ 0 ] [ 0 ] [ 0 ] [ 0 ] [ 0 ] ) air = np. squeeze ( loadmat ( air _ path ) ['cc _ struct'] ['data'] [ 0 ] [ 0 ] [ 0 ] [ 0 ] [ 0 ] ) # do the air correction corr = np. squeeze ( np. log ( np...
[ 0.5079072117805481, -0.36826929450035095, 0.7637518644332886, -0.575887143611908, 0.10323058068752289, 1.1649812459945679, 1.1144330501556396, 0.7053616046905518, -0.15591779351234436, -0.9177589416503906, 1.2786779403686523, 0.34891510009765625, -0.31710925698280334, -0.31286388635635376,...
def get _ group _ ideas _ with _ http _ info ( self, group _ id, start, end, logged _ in _ user _ id, access _ token, client _ token, * * kwargs ) : all _ params = ['group _ id ','start ','end ','logged _ in _ user _ id ','access _ token ','client _ token ','fields'] all _ params. append ('callback') all _ params. appe...
[ -0.7647472023963928, 0.3100774884223938, 0.9052850604057312, 0.4926319122314453, -0.047911468893289566, -0.08659102767705917, 0.09140351414680481, -1.0865767002105713, -1.237166404724121, 0.234831303358078, 0.6612673401832581, 1.2521631717681885, -0.7932825684547424, 0.4927428066730499, ...
def local _ density ( num _ points, distances, dc ) : def density ( dij, dc ) : if dij < dc : return 1 # if point is in dc neighbourhood else : return 0 # if point is outside dc neighbourhood rho = [ 0 ] * num _ points for i in range ( 0, num _ points - 1 ) : for j in range ( i + 1, num _ points ) : rho [ i ] + = float...
[ 0.7043483853340149, -0.5148176550865173, 0.39410945773124695, -0.19696871936321259, -0.2143012434244156, -0.29436373710632324, 0.0487227737903595, 0.40498989820480347, 0.4621763527393341, 0.5946075320243835, 0.09688747674226761, -0.021148622035980225, 0.2421005219221115, -0.000410719570936...
def cmd _ help ( ) : commands = ['" h, help " for help ','" q, quit " for quit ','" n, north " for north ','" e, east " for east ','" s, south " for south ','" w, west " for west ','" t, take, get " " item " for take item ','" d, drop " " item " for drop item ','" i, inventory " for inventory ','" u, use " " item " for...
[ -0.21526670455932617, -0.5661407113075256, 0.9808526635169983, -0.026540672406554222, 0.7726658582687378, 0.708213210105896, 0.40649697184562683, -0.7997694611549377, -0.49464407563209534, 0.0773838609457016, 0.1903238594532013, 0.525442361831665, 0.40024206042289734, 0.20020927488803864, ...
def unpool ( self, pool, ind, ksize = [ 1, 2, 2, 1 ], scope ='unpool') : with tf. variable _ scope ( scope ) : input _ shape = tf. shape ( pool ) output _ shape = [ input _ shape [ 0 ], input _ shape [ 1 ] * ksize [ 1 ], input _ shape [ 2 ] * ksize [ 2 ], input _ shape [ 3 ] ] flat _ input _ size = tf. cumprod ( input ...
[ -0.806155800819397, 0.17448410391807556, 0.8735980987548828, -0.5411770939826965, -1.2152844667434692, 0.2998976409435272, 0.5939863324165344, 0.029617417603731155, 0.1907832771539688, 0.627777636051178, -0.028383610770106316, 0.5354539752006531, 0.011405311524868011, -1.570838451385498, ...
def vaccinate ( self, entityid ) : person = self. _ _ personrepository. findbyid ( entityid ) if not ( person. status = = " ill " ) : person. imunization = " vaccinated " else : raise personexception ( " the person can't be vaccinated " )
[ -0.4475657343864441, -0.30895572900772095, 0.4424501061439514, -0.031107859686017036, -0.32526695728302, 0.5805276036262512, -0.7036937475204468, 0.10273274034261703, 0.4038040339946747, 0.18288549780845642, 0.18842969834804535, 0.2835480570793152, 0.1901688277721405, 0.4775882959365845, ...
def linregress ( x, y = none, santer = false ) : tiny = 1. 0e - 20 if y is none : # x is a ( 2, n ) or ( n, 2 ) shaped array _ like x = np. asarray ( x ) if x. shape [ 0 ] = = 2 : x, y = x elif x. shape [ 1 ] = = 2 : x, y = x. t else : msg = ( " if only ` x ` is given as input, it has to be of shape " " ( 2, n ) or ( n...
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def create _ dummy _ computation _ reference ( ) : type _ signature = computation _ types. tensortype ( tf. float32 ) value = pb. computation ( type = type _ serialization. serialize _ type ( type _ signature ), reference = pb. reference ( name ='a') ) return value, type _ signature
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def _ closuredimport ( func, alias ='', builtin = false ) : import re from dill. detect import freevars, outermost free _ vars = freevars ( func ) func _ vars = { } # split into'funcs'and'non - funcs'for name, obj in list ( free _ vars. items ( ) ) : if not isfunction ( obj ) : continue # get import for'funcs'fobj = fr...
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def _ _ init _ _ ( self, num _ scenarios = 3, dump _ dir = none, render = false, params = parameterserver ( ) ) : self. _ dump _ dir = dump _ dir self. _ num _ scenarios = num _ scenarios self. _ params = params self. _ bp = continuoushighwayblueprint ( self. _ params, \ number _ of _ senarios = self. _ num _ scenarios...
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def get _ payoff _ mixed ( model, attack _ profile, defense _ profile, attack _ strategy, defense _ strategy ) : total _ discount _ reward = 0 attack _ policies = np. random. choice ( attack _ profile, max _ episodes, p = attack _ strategy ) defense _ policies = np. random. choice ( defense _ profile, max _ episodes, p...
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def parse _ arguments ( ) : parser = argparse. argumentparser ( description ='submit toil job') parser. add _ argument ('- - project _ name ', action ='store ', dest ='project _ name ', help ='name for project ( e. g. pipeline _ test ) ', required = true ) parser. add _ argument ('- - output _ location ', action ='stor...
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def weighteddictrandom ( indict, num _ sel = 1 ) : # selection is without replacement ( important for use when picking participants etc. ) if not indict : return ( ) if num _ sel > len ( indict ) : raise indexerror if not num _ sel : return ( ) if num _ sel = = len ( indict ) : return list ( indict. keys ( ) ) keys = [...
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def test _ listdomain _ unif _ rand _ samp ( ) : dom _ params = namespace ( set _ domain _ list = true, domain _ list = [ 1. 0,'cat ', ( 5, 5 ) ] ) listdom = listdomain ( params = dom _ params ) nsamp = 10 samp _ list = listdom. unif _ rand _ sample ( n = nsamp ) assert isinstance ( samp _ list, list ) assert len ( sam...
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def getgraylevelnonuniformitynormalizedfeaturevalue ( self ) : raise deprecationwarning ('gldm - gray level non - uniformity normalized is mathematically equal to first order -'' uniformity, see http : / / pyradiomics. readthedocs. io / en / latest / removedfeatures. html for more'' details')
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def senddata ( url, key, field1, field2, field3, field4, temp, pres, humid, tempf ) : values = {'api _ key': key,'field1': temp,'field2': pres,'field3': humid,'field4': tempf,'timezone': tz _ local } postdata = urllib. urlencode ( values ) # encode values in url format - - - - - - > ( postdata ) = api _ key = key & fie...
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def luma _ matrix _ horizontal _ size ( self ) : # type : ( ) - > int return self. _ luma _ matrix _ horizontal _ size
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def to _ dict ( self ) : result = { } for attr, _ in six. iteritems ( self. openapi _ types ) : value = getattr ( self, attr ) if isinstance ( value, list ) : result [ attr ] = list ( map ( lambda x : x. to _ dict ( ) if hasattr ( x, " to _ dict " ) else x, value ) ) elif hasattr ( value, " to _ dict " ) : result [ att...
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def load _ pixmap ( * args, * * kwargs ) : if q. qapplication. instance ( ) is none : return kwargs. get ('default ', none ) pixmap = q. qpixmap ( ) for name in args : pixmap = q. qpixmap ( cfg. rcfile ( name ) ) if not pixmap. isnull ( ) : break if pixmap. isnull ( ) and'default'in kwargs : pixmap = kwargs ['default']...
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def calcbadtpstcetransits ( binwidth, filenamein, skyefilename, outfilename ) : maxt = 1600. 0 # maximum bkjd of the data # read in the tce data ( name, period, epoch, and skygroup ) data = np. genfromtxt ( filenamein, names = true, dtype = none ) # read in the output file from calcskye with the bad times and skygroups...
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def mcgroupcount ( self ) : if self. force _ auto _ sync : self. get ('mcgroupcount') return self. _ mcgroupcount
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def batch _ by _ size ( self, indices, max _ tokens = none, max _ sentences = none, required _ batch _ size _ multiple = 1, ) : from fairseq. data import data _ utils fixed _ shapes = self. get _ batch _ shapes ( ) if fixed _ shapes is not none : def adjust _ bsz ( bsz, num _ tokens ) : if bsz is none : assert max _ to...
[ -0.15878251194953918, 0.4260967969894409, 0.5109007358551025, 0.6123760342597961, 0.07251127809286118, -0.559742271900177, 0.06699846684932709, 0.11014550924301147, -0.2234737128019333, -0.15666663646697998, -0.5035589337348938, 0.37978890538215637, 0.09390169382095337, -0.1865700632333755...
def save _ matr ( matr, filename, fileformat = " txt " ) : if fileformat = = " txt " : np. savetxt ( filename, matr ) elif fileformat = = " npy " : np. save ( filename, matr )
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def concatdatahorizontally ( data1, data2 ) : if len ( data1 ) = = 0 : return data2 if len ( data2 ) = = 0 : return data1 data1 _ height = len ( data1 ) data2 _ height = len ( data2 ) data _ result _ height = max ( data1 _ height, data2 _ height ) # data2 starts at the end of the longest row in data1 that is next to it...
[ 0.9344100952148438, 0.3571180999279022, 1.1020630598068237, 0.22450192272663116, -1.0413495302200317, 0.41474735736846924, -1.2563819885253906, -0.16531309485435486, -0.7123214602470398, 0.07231194525957108, -0.217123880982399, 1.1318514347076416, -0.025938065722584724, 0.488299161195755, ...
def actionabort ( self ) : frc1 = self. _ executesubdriver ( ['abort ', ], fmayskip = false ) ; frc2 = self. _ killallvboxprocesses ( ) ; frc3 = testdriverbase. actionabort ( self ) ; return frc1 and frc2 and frc3 ;
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def change _ range ( cls, change _ start : position, change _ end : position, change _ text : str, old _ text : str, ) - > " textdocumentcontentchangeevent " : change _ range = range ( change _ start, change _ end ) return cls ( range = change _ range, rangelength = change _ range. calculate _ length ( old _ text ), te...
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def enrich _ embryo _ with _ contactid ( poly _ in, d _ parentid _ map = none ) : a _ parentindex = dsa. wrapdataobject ( poly _ in ). celldata ['parentindex']. _ _ array _ _ ( ) a _ contactindex = dsa. wrapdataobject ( poly _ in ). celldata ['contact _ index']. _ _ array _ _ ( ) a _ contact _ id = np. array ( [ a _ pa...
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def extract _ region ( init _ pos, end _ pos ) : size = size _ region ( init _ pos, end _ pos ) blocks = world. renderer. get _ blocks ( vec3 ( init _ pos. x, init _ pos. y, init _ pos. z ), vec3 ( end _ pos. x, end _ pos. y, end _ pos. z ) ) blocks _ list = list ( blocks ) # the order in getblocks is z, x, y and for a...
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def all _ options ( self ) : b = self. browser return [ b. text ( el ) for el in b. elements ( self. item _ locator ) ]
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def ask _ yes _ no ( prompt, default = none ) : if default : prompt ='% s [ % s ]'% ( prompt, default ) return ipython. genutils. ask _ yes _ no ( prompt, default )
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def showrestaurantsxml ( ) : restaurants = session. query ( restaurant ). all ( ) rs = {'restaurant': [ r. serialize for r in restaurants ] } return response ( xmlify ( rs, wrap ='restaurants'), mimetype ='text / xml')
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def steiner _ conv _ strat ( grid, dx = none, dy = none, intense = 42. 0, work _ level = 3000. 0, peak _ relation ='default ', area _ relation ='medium ', bkg _ rad = 11000. 0, use _ intense = true, fill _ value = none, refl _ field = none ) : # get fill value if fill _ value is none : fill _ value = get _ fillvalue ( ...
[ 0.05591380596160889, -0.053116101771593094, 0.903773844242096, -0.7665904760360718, -0.6929717659950256, 0.28655245900154114, 0.12621845304965973, -0.2380855679512024, -0.6118791699409485, 0.8866498470306396, -0.11827569454908371, 0.8193031549453735, 0.45391762256622314, 0.1913038492202758...
def abortspsexposure ( self, cmd ) : cmdkeys = cmd. cmd. keywords filter ='sunss'if'sunss'in cmdkeys else'sps'try : sequence = self. engine. registry. identify ( cmdkeys, filter = filter ) sequence. doabort ( cmd ) except exception as e : cmd. fail ( f'text = " { str ( e ) } "') return cmd. finish ( )
[ -0.4932645261287689, -0.6900802254676819, 0.5965324640274048, 0.49000266194343567, -0.8661889433860779, 0.7211662530899048, 0.3500540852546692, -0.2455059438943863, 0.4714813232421875, 0.23683592677116394, 0.9414957165718079, 0.4077141582965851, -0.5169553756713867, 0.9157068729400635, 0...
def normalize _ data ( self, orig _ images, norm _ image _ size ) : # 1. original images shape orig _ images _ shape = np. array ( [ [ orig _ images [ image _ index ]. shape [ 0 ], orig _ images [ image _ index ]. shape [ 1 ] ] for image _ index in range ( len ( orig _ images ) ) ] ) # 2. normalize original images # ( ...
[ -0.3678518533706665, -0.6138322353363037, 0.824226975440979, -0.8943560719490051, 0.012314525432884693, -0.32663673162460327, 0.4521310031414032, 0.20775644481182098, -0.08194156736135483, 1.022825837135315, 0.5641680955886841, 0.5294614434242249, -0.15818467736244202, 0.25660625100135803,...
def bssc _ init _ influxdb _ version ( self, log ) : if not self. bssc _ is _ up ( log ) : self. bssc _ influxdb _ version = clog. error _ msg return influxdb _ version = self. bssc _ server. bes _ influxdb _ version ( log ) if influxdb _ version is none : self. bssc _ influxdb _ version = clog. error _ msg self. bssc ...
[ 0.027165569365024567, -0.7584645748138428, 0.7515991926193237, 1.2470301389694214, 0.7148767113685608, 0.2395755499601364, -0.2667805850505829, -0.385040283203125, -0.10821212083101273, 0.39487573504447937, -0.7062520384788513, 0.976398766040802, 0.20083686709403992, 0.25671109557151794, ...
def _ extract _ play _ by _ play ( game _ id ) : nflscrapr. run ('play _ by _ play ', game _ id = game _ id, ) nflscrapr _ output = etl _ tools. extract _ from _ csv ( config. play _ by _ play _ dump _ csv _ path ) return nflscrapr _ output
[ -0.38715702295303345, 0.41756290197372437, 0.326316773891449, -0.01740574836730957, 0.16990961134433746, -0.86290442943573, 0.2401628941297531, -1.6557538509368896, 0.24789507687091827, 0.816883385181427, 0.24584180116653442, -0.3767782151699066, 0.31313133239746094, -0.6644879579544067, ...