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def read _ annotation ( self, annotation _ type = false ) : if not annotation _ type : annotation _ type = detect _ type ( self. path ) if annotation _ type = = " asap " : parsed = parsers. asapannotation ( self. path ) elif annotation _ type = = " wsidissector " : parsed = parsers. wsidissectorannotation ( self. path ...
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def find _ recent _ bias ( redd, fname, destdir ) : # default return value ret = false # make sure the file doesn't already exist in destdir local _ file = glob. glob ( os. path. join ( destdir, fname ) ) if len ( local _ file ) = = 1 : print ( " % s already exists in % s " % ( fname, destdir ) ) ret = true # search in...
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def _ generate _ random _ path ( self ) : particle _ path, time _ path = self. path _ generator. generate _ random _ path ( ) return particle _ path, time _ path
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def _ filter _ exclude _ indices ( categorical _ indices _ set : indicestype, numerical _ indices _ set : indicestype, exclude : union [ none, str, int, list [ union [ str, int ] ] ], all _ indices : indicestype ) - > tuple [ indicestype, indicestype ] : assert isinstance ( categorical _ indices _ set, set ),'this has ...
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def read _ file ( path ) : with open ( path, " r ", encoding = " utf - 8 ", errors ='ignore') as f : general _ list = [ ] for line in f : general _ list. append ( line. strip ( ). split ( " \ t " ) ) general _ list = general _ list [ 14 : ] return general _ list
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def interpret ( self, data ) : if " disconnected " in data : raise systemexit ( " disconnected from server " ) if self. state = = " initial " : # if this is the first iteration, we need to ask the guesser to rank the options. self. guesser. new _ guess ( data ) # get the most likely object ( guess _ id, guess _ x, gues...
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def process _ cmd ( self, data ) : _ = self. dim if data. startswith ('/') : cmd, * args = data. split ( none, 1 ) # prepare output buffer for command output, only a carriage return # followed by a clear _ eol sequence is displayed on empty string. self. display _ text ('' ) return self. command ( cmd [ 1 : ], * args )...
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def get _ index ( ) : series _ list = [ ] data = fetch _ url ( config. index _ url ) data = data. replace ('\ n ','' ) token = re. findall ( r " <! - - body content - - > (. * ) <! - - / / body content - - > ", data ) [ 0 ] token2 = re. findall ( r'< div class = " bd " id = " atoz " > (. * ) < / div > ', token ) [ 0 ] ...
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def advance _ to _ year ( self, year ) : iteration = year - self. current _ year if iteration < 0 : raise valueerror ('new current year must be'+'greater than current year!') for _ in range ( iteration ) : self. increment _ year ( ) assert self. current _ year = = year
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def filter ( self, text ='' ) : logger. log ( 5, " filter table with ` % s `. ", text ) self. eval _ js ('table. filter _ ( " { } ", true ) ; '. format ( text ) )
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def seek ( self, size = 1 ) : self. ptrread + = size if ( self. ptrread > = self. len ) and ( self. ptrpush < 0 ) : # empty buffer self. empty ( )
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def unambiguous _ words ( self ) : # work here!!
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def panel _ entry ( self ) - > panelentry | none : return self. _ panel _ entry
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def merge ( self, nums1, m, nums2, n ) : p1 = m - 1 p2 = n - 1 p3 = m + n - 1 while p1 > = 0 and p2 > = 0 : if nums2 [ p2 ] > = nums1 [ p1 ] : nums1 [ p3 ] = nums2 [ p2 ] p2 - = 1 else : nums1 [ p3 ] = nums1 [ p1 ] p1 - = 1 p3 - = 1 if p1 < 0 : nums1 [ 0 : p3 + 1 ] = nums2 [ 0 : p2 + 1 ]
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def test _ delete _ key ( self ) : self. api. delete _ key ( id = " 8486fea1 - b334 - 4c5d - 8eed - 8745bf04dcb1 " ) pass
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def f7 ( seq ) : seen = set ( ) seen _ add = seen. add return [ x for x in seq if x not in seen and not seen _ add ( x ) ]
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def test _ stairs _ at _ location ( self ) : lvl = level ( 1, 10, 10, none ) lvl. add _ room ( 0, room ( pos ( 0, 0 ), pos ( 7, 7 ) ) ) lvl. add _ stairs ( pos ( 5, 5 ) ) assert lvl. is _ stairs ( pos ( 5, 5 ) ) assert not lvl. is _ stairs ( pos ( 0, 0 ) ) self. asserttrue ( true )
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def clear ( self ) : self. _ write _ command ( [ lcdbackpack. clear _ display ] )
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def current ( self ) : return self. _ current
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def send _ update _ message ( peer _ ip ) : log. debug ('try to send update message to peer % s ', peer _ ip ) json _ request = flask. request. get _ json ( ) attr = json _ request. get ('attr') nlri = json _ request. get ('nlri') withdraw = json _ request. get ('withdraw') if attr : attr = { int ( k ) : v for k, v in ...
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def user _ has _ get _ permission ( self, batch _ id, conn ) : from jdma _ control. models import migration # groupworkspace permission gws _ permission = backend. _ user _ has _ get _ permission ( self, conn. jdma _ user, conn. jdma _ workspace. workspace ) # get the batch name and try to change to that directory migr...
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def definestyle ( odrawdoc, cstylefamily, cstylename, cparentstylename = none ) : ostylefamily = odrawdoc. getstylefamilies ( ). getbyname ( cstylefamily ) # does the style already exist? if ostylefamily. hasbyname ( cstylename ) : # then get it so we can return it. ostyle = ostylefamily. getbyname ( cstylename ) else ...
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def txt _ to _ csv ( self ) : _ conll _ to _ csv ( txt _ file _ path = self. _ in _ data _ dir + " / train. txt ", out _ dir = self. _ out _ train _ dir ) _ conll _ to _ csv ( txt _ file _ path = self. _ in _ data _ dir + " / test. txt ", out _ dir = self. _ out _ test _ dir ) _ conll _ to _ csv ( txt _ file _ path = s...
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def sample ( self, inpt = [ ], n _ step _ mc = 1, p _ 0 = 0. 5, p _ 1 = 0. 5 ) : if len ( inpt ) = = 0 : # inpt = tf. constant ( np. random. randint ( 2, size = self. _ v _ dim ), tf. float32 ) inpt = tf. constant ( np. random. choice ( [ 0, 1 ], size = self. _ v _ dim, p = [ p _ 0, p _ 1 ] ), tf. float64 ) hidden _ pr...
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def _ _ repr _ _ ( self ) - > str : return " graphqlnonnull ( gql _ type = {! r } ) ". format ( self. gql _ type )
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def mm _ move ( board, player ) : winner = board. check _ win ( ) move = ( ) score = 0 empty _ board = board. get _ empty _ squares ( ) best _ move = ( ) if winner! = none : if winner = = provided. playerx : score = scores [ provided. playerx ] if winner = = provided. playero : score = scores [ provided. playero ] if w...
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def getstartstate ( self ) : # a state is a list of stacks state = [ ] for i in range ( self. stacknum ) : state. append ( [ ] ) # select tiles to put in blocks for elem in range ( self. count ) : stack _ index = int ( random. random ( ) * self. stacknum ) state [ stack _ index ]. append ( elem ) # print " start at : "...
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def get _ census _ variables ( year, dataset, geography, area, variables, variable _ labels = none ) : base _ url ='https : / / api. census. gov / data / { } / { } '. format ( year, dataset ) # define parameters get _ parameter = ', '. join ( ['name'] + variables ) for _ parameter ='{ } : * '. format ( geography ) in _...
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def fill _ diago ( m, v ) : for i in range ( m. shape [ 0 ] ) : m [ i, i ] = v return m
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def token _ databases _ parser ( ) - > argparse. argumentparser : parser = argparse. argumentparser ( add _ help = false ) parser. add _ argument ('databases ', metavar ='elf _ or _ token _ database ', nargs ='+ ', action = _ loadtokendatabases, help = ('elf or token database files from which to read strings and'' toke...
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def _ _ contains _ _ ( self, word ) : result = self. _ _ binary _ search ( word ) if result! = - 1 : return true return false
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def test _ evaluateexpression ( self ) : # case a script is successfully evaluated - should return true account = cryptoaccount ( ) # the test account used # create the transaction hash and the signature transactionhash = tlcutilities. getdoublehash256asstring ('transaction content') signature = tlcutilities. gethashsi...
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def get _ revision ( ) : vcs, revision, tag = none, none, none gitdir = os. path. join ( basedir, '.. ', '. git') if os. path. isdir ( gitdir ) : vcs ='git'# for now, we are not bothering with revision and tag. vcs _ info = ( vcs, ( revision, tag ) ) return revision, vcs _ info
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def count _ types ( corpus ) : list _ type = [ ] for sentence in corpus : for word in sentence : if word not in list _ type : list _ type. append ( word ) return len ( list _ type )
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def test _ correct _ failure _ and _ errors ( self ) : reporter = yield self. get _ reporter _ with _ suite _ run ( ) fail _ assert _ result = self. get _ result _ by _ test _ name ( reporter. failures,'statustest _ fail _ assert') self. asserttrue ('failure ', fail _ assert _ result [ 0 ] ) self. assertequals ( fail _...
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def _ get _ port _ definitions ( app ) : if'portdefinitions'in app : return app ['portdefinitions'] # in the worst case try use the old ` ports ` array # only useful on very old marathons if'ports'in app : return app ['ports'] return none
[ 1.519417643547058, 0.20621854066848755, 0.3228340148925781, 0.514080822467804, 0.4284477233886719, -0.7540966272354126, -0.40587669610977173, -0.743351399898529, 0.6220709681510925, 0.15721739828586578, 0.3732866644859314, 0.27676936984062195, 0.6881893277168274, 0.7209085822105408, 0.46...
def merge _ tags ( one, two ) : # keep tag with the non - uppercase name if one. name. isupper ( ) : one, two = two, one elif not two. name. isupper ( ) : if len ( one. name ) < len ( two. name ) : one, two = two, one one. club _ set. add ( * two. club _ set. all ( ) ) two. delete ( ) return one
[ -0.359210729598999, 0.1763545572757721, 0.8377993106842041, 0.40288230776786804, 0.4113299548625946, 0.22104795277118683, -0.7403537034988403, -0.6373279690742493, -0.8662604689598083, -0.10883325338363647, -0.7130961418151855, -0.1007661372423172, -0.5778101682662964, -0.28234463930130005...
def _ init _ shared _ data ( self, spark _ context ) : model = cfc. parse _ pnml ('models / model1') self. initialize _ broadcast _ variable ( spark _ context, name ='model1 ', value = model )
[ -0.2585870325565338, 0.5737889409065247, 0.2508833706378937, 0.7336039543151855, 0.30691495537757874, 0.23306547105312347, 0.7956212759017944, 0.318306565284729, -0.3427611291408539, -0.5180419683456421, -1.0974524021148682, 0.6632717847824097, 0.046678297221660614, 0.7201172113418579, -...
def masknllloss ( input, target, mask ) : s = mask. sum ( ) crossentropy = - torch. log ( torch. gather ( input, 1, target. view ( - 1, 1 ) ). squeeze ( 1 ) ) loss = crossentropy. masked _ select ( mask ). mean ( ) loss = loss. to ( config. device ) return loss, s. item ( )
[ -0.09686227142810822, -0.7738392353057861, 0.4326913058757782, 0.35951149463653564, -0.6202595233917236, -0.32707884907722473, -0.22265082597732544, -0.49777767062187195, 0.8534508347511292, 0.3533913791179657, -0.13679879903793335, 0.7148985862731934, 0.6294832825660706, -0.49503973126411...
def _ update _ type _ references ( self, namespace, name ) : if isinstance ( name, ast. typedef ) : self. _ update _ type _ references ( name. namespace, name. type ) elif isinstance ( name, ast. primitivetype ) : pass elif isinstance ( name, ast. complextype ) : self. _ update _ complextype _ references ( name ) elif ...
[ -1.3351889848709106, -0.5960791110992432, 0.9262698292732239, -0.8720138072967529, -0.3059414327144623, -0.8833932280540466, 0.22745229303836823, -1.1066467761993408, 0.08989929407835007, 0.7554545998573303, -0.30638083815574646, 0.3895527422428131, -0.5704957842826843, 1.1693793535232544,...
def tang ( x, y ) : tag = np. divide ( y, x ) return tag
[ 0.5561227798461914, -0.26772812008857727, 0.1702655553817749, -0.37049785256385803, 0.7110483646392822, -0.05132061243057251, -0.6747872829437256, -1.3713405132293701, -0.7633554339408875, 0.6398177146911621, 0.19634178280830383, -0.663089394569397, 0.7279131412506104, -1.028578758239746, ...
def forward ( self, x, available _ actions = none, deterministic = false, n _ actions = 0 ) : action _ logits = self. action _ out ( x, available _ actions ) if deterministic : actions = action _ logits. mode ( ) elif n _ actions > 0 : actions = action _ logits. sample ( sample _ shape = ( n _ actions, ) ) else : actio...
[ -0.11907009780406952, -0.22155021131038666, 0.5953952670097351, 0.2506677508354187, -0.45055440068244934, 0.19346219301223755, -0.3097442388534546, -0.2703580856323242, 0.6925516724586487, 0.2258438616991043, -0.10021062940359116, 0.7769815921783447, 0.8202545046806335, -0.3417680561542511...
def upsample _ to _ repetitions ( sequence _ feature, repeats ) : device = infer _ device ( sequence _ feature ) batch _ size = sequence _ feature. shape [ 0 ] max _ seq _ len = sequence _ feature. shape [ 1 ] feat _ dim = sequence _ feature. shape [ 2 ] repeated _ lens = torch. sum ( repeats, dim = 1 ) max _ repeated ...
[ -0.529890239238739, 0.27003777027130127, 0.8160226345062256, 0.42583468556404114, -0.17714904248714447, -0.7638787031173706, 0.18118217587471008, 0.504332423210144, 0.3328459560871124, 0.3149277865886688, -0.9835226535797119, 0.586690366268158, 0.4498651623725891, -0.8445262312889099, 0....
def find _ requires ( ) - > list [ str ] : dir _ path = os. path. dirname ( os. path. realpath ( _ _ file _ _ ) ) reqs _ path = os. path. join ( dir _ path, " requirements. txt " ) with open ( reqs _ path,'r') as reqs : requirements = reqs. readlines ( ) return requirements
[ -0.43439459800720215, -1.170900821685791, 0.8120379447937012, -0.05939585343003273, 0.39050665497779846, 0.5272383093833923, -0.15399037301540375, 0.2473737895488739, -0.2546907961368561, 0.735776960849762, -0.004802580922842026, -0.27390027046203613, 0.13133254647254944, 1.147390246391296...
def testemptyproperty ( self ) : conf = xml _ configuration. configuration. emptyconfiguration ( ) # empty string is considered a valid property value ( even though the xml # dom would return none as the text node of the property element. conf. setproperty ('key ','' ) self. assertequal ('', conf. getpropertyvalue ('ke...
[ -0.0045756078325212, -0.14170198142528534, 0.21036456525325775, -0.2689928710460663, 0.4588376581668854, 0.6713346242904663, -0.4446646571159363, 0.023562798276543617, -0.0374063141644001, -0.29684415459632874, 0.09352128207683563, -0.10456569492816925, -0.2404661774635315, -0.735029518604...
def unzip ( source _ filename, dest _ dir ) : with zipfile. zipfile ( source _ filename ) as zf : for member in zf. infolist ( ) : # path traversal defense copied from # http : / / hg. python. org / cpython / file / tip / lib / http / server. py # l789 words = member. filename. split ('/') if words [ 0 ] = ='_ _ macosx...
[ 0.2909274399280548, 0.10686319321393967, 0.4484546482563019, 0.024339614436030388, -0.0618211105465889, -0.9009055495262146, 0.317201167345047, 0.8840023279190063, -0.36925700306892395, 0.13563871383666992, 0.009465738199651241, -0.20050106942653656, -0.06230435147881508, 0.165332511067390...
def _ parse _ args ( ) : parser = argparse. argumentparser ( description ='optimization. py') parser. add _ argument ('- - func ', type = str, default ='quad ', help ='function to optimize ( quad or nn )') parser. add _ argument ('- - lr ', type = float, default = 1., help ='learning rate') parser. add _ argument ('- -...
[ 0.1252833902835846, 0.5271883606910706, 0.4858943521976471, -0.21880310773849487, 0.9776781797409058, -0.25049227476119995, -0.7310847043991089, -0.31263846158981323, -0.9131563901901245, 0.401503324508667, -0.5903509259223938, -0.18888252973556519, 0.12599638104438782, 0.5490365028381348,...
def process ( self ) : self. refwell = well ( self. r [ 0 ], self. msevents, self. targets, self. parameters, self. corrections, self. gauss, self. ionmass ) self. refwell. process ( ) self. parameters ['minor peak detection threshold'] = 0. 001 if self. expt _ type! ='integrate': first _ step = true for d, a in zip ( ...
[ 0.9152504205703735, 0.23770596086978912, 0.6211342811584473, 0.2696528434753418, 0.6997007131576538, 0.5069966316223145, 0.7423859238624573, -0.24871458113193512, 0.7857786417007446, 0.4414811432361603, 0.17257019877433777, 0.34933409094810486, -0.3908435106277466, 1.9028784036636353, -0...
def prepare _ refresh _ body ( self, body ='', refresh _ token = none, scope = none, * * kwargs ) : refresh _ token = refresh _ token or self. refresh _ token return prepare _ token _ request ('refresh _ token ', body = body, scope = scope, refresh _ token = refresh _ token, * * kwargs )
[ -0.07701573520898819, -0.14324036240577698, 0.566082239151001, 0.7177314162254333, 0.05475287139415741, -0.9621552228927612, -1.4068574905395508, -1.3571356534957886, 1.2990531921386719, 0.27130356431007385, -0.3952818214893341, 1.3872970342636108, 0.493895947933197, 0.24362967908382416, ...
def test _ list _ decimal _ pattern _ 3 _ nistxml _ sv _ iv _ list _ decimal _ pattern _ 4 _ 3 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / list / decimal / schema + instance / nistschema - sv - iv - list - decimal - pattern - 4. xsd ", instance = " nistdata / list / decimal / sc...
[ -0.4646930694580078, 0.23655061423778534, 0.6521320343017578, 0.4486415684223175, 0.1498931646347046, 0.02597409300506115, -0.37906455993652344, 0.44673293828964233, 1.2429816722869873, 0.13157634437084198, -0.908779501914978, -1.033020257949829, -0.19058269262313843, 0.014800077304244041,...
def test _ platform _ map ( self ) : # create static mapping plugin _ settings [ " platform _ map " ] = { " cisco _ ios " : " ios ", " arista _ eos " : " eos ", " cisco _ nxos " : " cisco - nxos " } onboarding _ kwargs = { " netdev _ hostname " : " device1 ", " netdev _ nb _ role _ slug " : plugin _ settings [ " defaul...
[ -0.10000763833522797, 0.2344910204410553, 0.355734646320343, 0.809080958366394, 0.9480698704719543, 0.4999043345451355, 0.46798592805862427, -0.32750803232192993, 0.050788428634405136, -0.4759431779384613, -1.1849470138549805, -0.9177970290184021, 0.20328748226165771, 0.7822891473770142, ...
def multiply _ no _ nan ( x, y, name = none ) : with ops. name _ scope ( name, " multiply _ no _ nan ", [ x, y ] ) as name : x = ops. convert _ to _ tensor ( x, name = " x " ) y = ops. convert _ to _ tensor ( y, name = " y ", dtype = x. dtype. base _ dtype ) x _ dtype = x. dtype. base _ dtype y _ dtype = y. dtype. base...
[ -0.6968948245048523, 0.5584079623222351, 0.9093459248542786, 0.046512871980667114, -0.656948983669281, 0.09114295989274979, -0.5408003330230713, -0.842907726764679, -0.4270585775375366, 0.5077990293502808, -0.6952419281005859, 0.43946418166160583, 0.9073317050933838, -0.4112533628940582, ...
def grand _ total ( self ) : return self. _ grand _ total
[ -0.39678606390953064, 0.4702290892601013, 0.32369181513786316, -0.7211450934410095, 0.9254114627838135, 1.4919273853302002, 0.1796524077653885, -0.5498103499412537, -0.37102368474006653, 0.04380731284618378, -0.7440895438194275, 0.2070150524377823, 0.6586838960647583, -1.0683434009552002, ...
def set _ ffn _ input _ size ( self ) : if ( self. merge _ mode = = " add " ) : return self. cnn _ rnn _ class _ num if ( self. merge _ mode = = " substract " ) : return self. cnn _ rnn _ class _ num if ( self. merge _ mode = = " multiply " ) : return self. cnn _ rnn _ class _ num if ( self. merge _ mode = = " concat "...
[ -1.003686547279358, 0.29938817024230957, 1.051310658454895, 0.23199528455734253, -0.07996781170368195, 0.09196072071790695, 1.0936944484710693, -0.17686675488948822, 0.49937576055526733, -0.9239610433578491, -0.8172028064727783, -0.18399575352668762, -0.05374090000987053, 1.274568438529968...
def get _ global _ link _ rotation _ function ( self, link : str, n : int = 1, numpy _ output : bool = false ) - > cs. function : return self. make _ function ( " r ", link, self. get _ global _ link _ rotation, n = n, numpy _ output = numpy _ output )
[ -0.7419797778129578, 0.7720592617988586, 0.30818817019462585, 0.4979628622531891, 0.195719912648201, -1.0157709121704102, 1.4498573541641235, -0.5865170359611511, 0.09445560723543167, -0.16796156764030457, -0.35442468523979187, 1.2706893682479858, -0.7775267362594604, -0.8214579820632935, ...
def updatedevicelocation ( self, typeid, deviceid, devicelocation ) : deviceurl = apiclient. deviceurllocation % ( self. host, typeid, deviceid ) r = requests. put ( deviceurl, auth = self. credentials, data = json. dumps ( devicelocation ), headers = {'content - type':'application / json'}, verify = self. verify ) sta...
[ -2.40270733833313, -1.147768259048462, 0.5811286568641663, -0.07856719940900803, -0.5873020887374878, -0.3084257245063782, 0.8245360255241394, -0.6146710515022278, 0.1665663868188858, 0.8162896037101746, -0.08465055376291275, 0.44200843572616577, -1.0480345487594604, -0.4859885573387146, ...
def handle _ raw _ inbound _ message ( self, session _ id, linkid, inbound _ message ) : log. info ('receiving ussd via parlayx : % r : % r'% ( session _ id, inbound _ message, ) ) session _ event = self. determine _ session _ event ( inbound _ message. msgtype ) # send close message # # if session _ event = = transpor...
[ 0.29467055201530457, -0.3976163864135742, 0.9020410776138306, -0.4638001620769501, -0.6561998724937439, 0.19588877260684967, -0.06800268590450287, 0.11624974012374878, 1.1445647478103638, -0.4639762043952942, 0.05241371691226959, 0.9836975336074829, 0.22795036435127258, -0.0754471346735954...
def traverse _ tree _ level _ order ( self ) - > generator : position = self. get _ root ( ) if position is not none : for i in self. traverse _ subtree _ level _ order ( position ) : yield i
[ -0.05060722306370735, -0.041014689952135086, 0.6377472281455994, 0.7887492775917053, -0.2361326813697815, -0.2413766086101532, -0.5870275497436523, -0.49581006169319153, -0.900774359703064, -0.32627686858177185, -0.3551904261112213, 0.05989300459623337, -0.23430486023426056, 0.727084696292...
def add _ border ( frame : np. ndarray, color : tuple [ int, int, int ], pixel _ width : int ) : # set number of pixels of insets on respective side top, bottom, left, right = pixel _ width, pixel _ width, pixel _ width, pixel _ width image = cv2. copymakeborder ( frame [ top : - bottom, left : - right, : ], top, botto...
[ -0.029629075899720192, 0.48260220885276794, 0.6516198515892029, 0.3164137303829193, 0.20821180939674377, 0.34305503964424133, -0.19531166553497314, -1.1164946556091309, 0.9256324172019958, 0.017571335658431053, -0.03457352891564369, 0.9889935255050659, -0.669983983039856, 0.451305687427520...
def vector _ to _ parameter _ list ( vec, parameters ) : # ensure vec of type tensor if not isinstance ( vec, torch. tensor ) : raise typeerror ('expected torch. tensor, but got : { } '. format ( torch. typename ( vec ) ) ) # flag for the device where the parameter is located param _ device = none params _ new = [ ] # ...
[ -0.4111892282962799, -0.6451935768127441, 0.398739218711853, 0.021709658205509186, 0.4838731586933136, -0.06038057059049606, -0.05997901409864426, 0.4258041977882385, -0.0020802400540560484, 1.5015207529067993, -0.7093580365180969, 0.6741575598716736, -0.0817389115691185, 0.108448006212711...
def encodeasenglish ( data ) : # first, convert the string to a hex representation hexstring = binascii. hexlify ( data ) # and convert the hex representation into words stringy = [ ] for char in hexstring : stringy. append ( lookup _ table [ int ( char, 16 ) ] ) return stringy
[ 0.006942702457308769, 0.08302006870508194, 0.4029524624347687, -1.0399972200393677, 0.39658480882644653, -0.28967177867889404, -1.4429599046707153, 0.972646176815033, 0.6205023527145386, 0.9338505268096924, -0.5764822959899902, -0.0669773519039154, -0.2364177703857422, 0.5454519391059875, ...
def test _ atomic _ qname _ min _ length _ nistxml _ sv _ iv _ atomic _ qname _ min _ length _ 1 _ 1 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / qname / schema + instance / nistschema - sv - iv - atomic - qname - minlength - 1. xsd ", instance = " nistdata / atomic / qn...
[ 0.32813674211502075, -0.6717405915260315, 0.4233543276786804, 0.10797829926013947, -0.5139608383178711, 0.27574366331100464, -0.17404179275035858, -0.6567528247833252, 1.0251836776733398, 0.3903953731060028, -0.15612521767616272, -0.02979782596230507, -0.47074785828590393, -0.0432116203010...
def test _ atomic _ base64 _ binary _ min _ length _ 3 _ nistxml _ sv _ iv _ atomic _ base64 _ binary _ min _ length _ 4 _ 3 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / base64binary / schema + instance / nistschema - sv - iv - atomic - base64binary - minlength - 4. xsd ...
[ 0.3319431245326996, -0.0036956039257347584, 0.4608728885650635, 0.7265825867652893, -0.008459100499749184, 0.09920300543308258, -0.2840554118156433, -0.4497522711753845, 0.5188577175140381, 0.10154096782207489, -0.42739632725715637, -0.28549277782440186, -1.0373318195343018, -0.26706066727...
def values ( self, values = none ) : if values is not none : if len ( values )! = len ( self. pars ( ) ) : self. error ( " number of values! = number of parameters " ) return none free _ pars = self. free _ pars ( ) tied _ pars = self. list _ of _ pars ( " tied " ) untied _ pars = self. list _ of _ pars ( " untied " ) ...
[ -0.10442107170820236, -0.4178699254989624, 0.7328314185142517, -0.5711950659751892, 0.40591686964035034, 0.7466678023338318, -0.4980148673057556, -0.25768956542015076, -0.5943125486373901, -0.38785165548324585, 0.18080058693885803, 0.3753269612789154, -0.8243087530136108, 1.348480343818664...
def build _ ssl _ modified _ sequence ( seq, mods, ssl _ mods ) : pep = list ( seq ) for loc, name in zip ( mods. split ('|') [ : : 2 ], mods. split ('|') [ 1 : : 2 ] ) : # c - term mod if loc = ='- 1': pep [ - 1 ] = pep [ - 1 ] +'[ { } ] '. format ( ssl _ mods [ name ] ) # n - term mod elif loc = ='0': pep [ 0 ] = pep...
[ -1.0370241403579712, -1.5724174976348877, 0.7266669273376465, -0.5227622985839844, -0.762945830821991, -0.30996936559677124, -0.7458513975143433, 0.4749890863895416, 0.3114393651485443, 1.4714317321777344, -0.2039497345685959, 0.24948568642139435, 0.32434508204460144, -0.1805112361907959, ...
def resize _ mask ( self, mask, scale, padding, crop = none ) : # suppress warning from scipy 0. 13. 0, the output shape of zoom ( ) is # calculated with round ( ) instead of int ( ) with warnings. catch _ warnings ( ) : warnings. simplefilter ( " ignore " ) mask = scipy. ndimage. zoom ( mask, zoom = [ scale [ 0 ], sca...
[ -0.10115533322095871, 0.43152207136154175, 0.9143935441970825, 0.7404152154922485, -0.5821272730827332, -0.6239475607872009, -0.8230323791503906, -1.0531824827194214, 0.6778389811515808, -0.18704454600811005, 0.5137621164321899, 0.08495423197746277, 0.3547438085079193, -0.5853314399719238,...
def tick ( self ) : self. _ current _ tick + = 1 log ( log. info, " game tick, tick number : { } ". format ( self. _ current _ tick ) ) self. update _ posts _ on _ tick ( ) self. update _ trains _ positions _ on _ tick ( ) self. handle _ trains _ collisions _ on _ tick ( ) self. process _ trains _ points _ on _ tick ( ...
[ -0.1801382601261139, -0.1433142125606537, 0.5635426044464111, 0.3587954342365265, 0.8669002056121826, 0.37445494532585144, 0.6172134280204773, -0.9638891816139221, -1.14206862449646, 0.06299173086881638, -0.8077982664108276, -0.5978006720542908, 0.4580354392528534, -0.24529097974300385, ...
def login _ sov ( provider _ name ) : if'searchterm1'in request. form : searchterm1 = request. form ['searchterm1'] session ['searchterm1'] = searchterm1 if'searchterm2'in request. form : searchterm2 = request. form ['searchterm2'] session ['searchterm2'] = searchterm2 if'searchterm3'in request. form : searchterm3 = re...
[ -0.6917324066162109, -0.1585373878479004, 0.7443132996559143, 0.4204966425895691, 0.4433898627758026, -0.6914992332458496, -0.20515210926532745, -0.5645999908447266, 0.35217416286468506, 0.4264099597930908, -0.41241416335105896, 0.3967999815940857, -0.11800816655158997, 0.2848491668701172,...
def show _ top ( go _ tree, term _ scores, n = none, descending = true ) : print ( " go _ term ", f " {'go _ name': < 50s } ", " scores ", " ic ", sep = " \ t " ) # sort order : term _ score desc, term _ ic desc, term _ id desc for k, v in sorted ( term _ scores. items ( ), key = lambda x : ( x [ 1 ], go _ tree [ x [ 0...
[ 0.203386127948761, -0.0004280841676518321, 0.8786529898643494, -0.9634236097335815, -0.16225665807724, 0.008747529238462448, -0.8867522478103638, -0.5614493489265442, -1.3590455055236816, 1.0920052528381348, 0.4353516399860382, 0.8600473403930664, 0.21949821710586548, 0.20596864819526672, ...
async def send _ cleverbot _ response ( self, message : str, author : union [ discord. member, discord. user ], ctx : commands. context ) - > none : await ctx. trigger _ typing ( ) try : response = await self. get _ response ( author, message ) except nocredentials : msg = _ ( " the owner needs to set the credentials f...
[ 0.4123374819755554, -0.21595153212547302, 0.4790061414241791, 0.3150894045829773, 0.09514487534761429, -0.4781225323677063, -0.37320271134376526, -0.6097996234893799, 0.4455115795135498, -0.46494388580322266, -0.04823152348399162, 1.2172508239746094, -0.7611362934112549, -0.046222727745771...
def begin _ custom _ environment _ action ( self, project _ name : str, environment _ name : str, body : io, user _ id : str = " me ", *, content _ type : str = " application / json ", * * kwargs : any ) - > lropoller [ none ] :
[ -0.01325160451233387, -0.45409640669822693, 0.4862307906150818, 0.2117982804775238, -0.26419249176979065, 0.6219642758369446, 0.5832463502883911, -0.7876449227333069, -0.020862801000475883, 0.5759176015853882, -0.23643508553504944, 2.0386810302734375, -0.12484095245599747, 0.33147042989730...
def maximum _ object _ count ( self ) : return ( int ( self. ftp _ settings [ " object _ count " ] ) )
[ 0.2741246521472931, -0.16770127415657043, 0.4977884292602539, 0.21703360974788666, 0.3483915627002716, 0.7773904204368591, 0.1309538036584854, -0.16756941378116608, -0.38071322441101074, 0.034068286418914795, -0.5032744407653809, 0.12496543675661087, -0.22948521375656128, -0.54425573348999...
def imconvert ( img : np. ndarray, src : str, dst : str ) - > np. ndarray : code = getattr ( cv2, f'color _ { src. upper ( ) } 2 { dst. upper ( ) }') out _ img = cv2. cvtcolor ( img, code ) return out _ img
[ -0.753484308719635, -0.5554636120796204, 0.6371996998786926, -0.3655317425727844, -0.3507932722568512, -0.11286092549562454, -0.7279292941093445, -0.19933435320854187, -0.6695922017097473, 1.5482982397079468, 0.012565053068101406, 1.1452561616897583, 1.3309935331344604, 0.21509820222854614...
def kneighborsclassifierrs ( size _ split ) : # read both files and merge them df = pd. read _ csv ('binaryapps _ ben. csv ', sep = ',') df2 = pd. read _ csv ('binaryapps _ mal. csv ', sep = ',') df = pd. concat ( [ df, df2 ] ) # we create the training and validation training dataset and the test and validation test da...
[ 0.01887454278767109, 0.6715450286865234, 0.8569549918174744, 0.5709249973297119, 1.1871291399002075, -0.10522830486297607, 0.10348957777023315, 0.2108919620513916, -0.40740805864334106, -0.3862048089504242, 0.02680942416191101, 0.43397507071495056, -0.19676735997200012, 0.5223544239997864,...
def listdishes ( self ) : count = 0 alldishes = list ( ) for day in self. days : if day. lunch. dish not in alldishes : alldishes. append ( day. lunch. dish ) self. dishes [ str ( count ) ] = day. lunch. dish count + = 1 if day. dinner. dish not in alldishes : alldishes. append ( day. dinner. dish ) self. dishes [ str ...
[ -0.5543360114097595, 0.12010867893695831, 0.7061884999275208, -0.2869362235069275, -0.09935919940471649, -0.290478378534317, 0.21548616886138916, 0.9919878244400024, 1.1251269578933716, -0.9672187566757202, -0.5720943212509155, 0.45231565833091736, 0.8968884348869324, 1.8817135095596313, ...
def forward _ backward _ pd ( x, f, g, l, h, tau, sigma, niter, callback = none, * * kwargs ) : # problem size m = len ( l ) # validate input if not all ( isinstance ( op, operator ) for op in l ) : raise valueerror ('` l ` not a sequence of operators') if not all ( op. is _ linear for op in l ) : raise valueerror ('no...
[ 0.1305553913116455, 1.178381323814392, 0.952679455280304, 0.38320043683052063, -0.16439326107501984, -0.3041944205760956, -0.02944537065923214, -0.28467199206352234, -0.4129195809364319, 0.27139702439308167, -0.03213314712047577, 0.29711344838142395, 0.13106127083301544, 0.2349295765161514...
def echo ( ) - > none : click. echo ( " hello, world! " )
[ 0.8924942016601562, 0.29027503728866577, 0.5564378499984741, 1.1676274538040161, 0.5793484449386597, 0.6102015376091003, -0.32652318477630615, -0.19661179184913635, -0.723437488079071, 0.3230563998222351, -0.028832579031586647, 1.3480066061019897, 0.09049210697412491, -0.08252650499343872,...
def reduce _ variance ( input _ tensor, axis = none, keepdims = false, name = none ) : name = name if name else " reduce _ variance " with ops. name _ scope ( name ) : input _ tensor = ops. convert _ to _ tensor ( input _ tensor ) means = reduce _ mean ( input _ tensor, axis = axis, keepdims = true ) if means. dtype. i...
[ -0.25425097346305847, -0.06585799902677536, 0.9279577732086182, 0.7235321998596191, -0.4634198248386383, 0.10654435306787491, 1.0471889972686768, 0.06342670321464539, 0.21489623188972473, 0.010178332217037678, -0.4462791979312897, 0.7103328108787537, 0.45000866055488586, -0.375638812780380...
def joint _ names ( self ) - > list [ str ] : return [ jnt. name for jnt in self. urdf. joints ]
[ -0.326301246881485, -0.35667720437049866, 0.3585030734539032, 0.25366926193237305, 0.320742666721344, 0.7642925977706909, -0.6694359183311462, 0.3224354684352875, -0.1258501261472702, -0.06590486317873001, 0.09224983304738998, 0.5483913421630859, -0.48450425267219543, -0.5185990333557129, ...
def load _ trajectory ( filename, showheader = false ) : traj = numpy. loadtxt ( filename ) if traj. shape. _ _ len _ _ ( ) = = 1 : traj = traj. reshape ( 1, traj. shape [ - 1 ] ) meta = _ read _ metadata ( filename, showheader = showheader ) # in case there are no values in the file if traj. size < 5 and traj. mean ( ...
[ 0.3250887095928192, -0.11139649897813797, 0.572665274143219, 0.4189007580280304, -0.8197184205055237, -0.1658470183610916, 0.37564343214035034, 0.4724416434764862, -0.2616257965564728, 0.5857254862785339, 0.33456823229789734, -0.3512609302997589, -0.4379584491252899, -0.055362582206726074,...
def test _ atomic _ language _ length _ 2 _ nistxml _ sv _ iv _ atomic _ language _ length _ 3 _ 5 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / language / schema + instance / nistschema - sv - iv - atomic - language - length - 3. xsd ", instance = " nistdata / atomic / l...
[ 0.5394555926322937, -0.14124803245067596, 0.44362273812294006, 0.24124781787395477, -0.29920318722724915, 0.45524856448173523, -0.18034395575523376, 0.031566813588142395, 0.024771813303232193, 1.122874140739441, -0.7971464991569519, -0.20410335063934326, 0.16495326161384583, 0.022873118519...
def _ fetch _ and _ process ( self ) : url = f " { splindexfile. base _ url }? page = { self. page _ number } " r = requests. get ( url, allow _ redirects = true ) try : dict _ data = xmltodict. parse ( r. content ) self. metadata = dict _ data [ " spls " ] [ " metadata " ] self. spls = dict _ data [ " spls " ] [ " spl...
[ 0.31894350051879883, -0.631817102432251, 0.48968449234962463, -0.38187673687934875, 0.21680976450443268, 0.770861804485321, -1.27682626247406, 0.39324983954429626, -0.10368596017360687, -0.08512543886899948, 0.04878499358892441, 0.4757589101791382, 0.6071567535400391, -0.38206222653388977,...
def _ _ init _ _ ( self, bus _ type, comp _ library, data _ width, addr _ width, ) : self. bus _ type = bus _ type self. comp _ library = comp _ library self. clk _ name = " clk " self. data _ width = data _ width self. addr _ width = addr _ width if self. bus _ type = ='axi': self. short _ name ='axi'self. in _ type =...
[ -0.1057123988866806, -0.023514043539762497, 0.6433234810829163, 0.600762128829956, 0.047905333340168, 0.0006762986304238439, 0.7120202779769897, -0.3768045902252197, 0.2603914439678192, 0.315327525138855, -0.21258994936943054, 0.5473330020904541, -0.24143631756305695, -0.000834530219435691...
def authenticate _ client _ id ( self, client _ id, request, * args, * * kwargs ) : raise notimplementederror ('subclasses must implement this method.')
[ -0.7656670212745667, -0.6152780652046204, 0.4537569284439087, 0.5539331436157227, -0.1443091630935669, 0.7686792016029358, 0.03424811363220215, -0.8204948902130127, 0.32810690999031067, 0.11397071927785873, -0.17698460817337036, 0.9463500380516052, -0.16207078099250793, -0.0424575358629226...
def delete _ from _ dbs ( self, request, queryset ) : result = actions. delete _ selected ( self, request, queryset ) if request. post. get ( " post " ) : # the master copies ( default write db for the model ) have already # been deleted. we need to nuke the shadow copies. queryset. using ( " reviews - s " ). delete ( ...
[ -0.06850671768188477, 0.5040260553359985, 0.3630346655845642, 0.7773271203041077, 0.577495813369751, -0.07061446458101273, -0.022497126832604408, 0.1293763518333435, 0.534371018409729, 0.4942244589328766, 0.06377077102661133, 0.3707237243652344, -0.3222643733024597, -0.08950235694646835, ...
def norm _ percolumn _ perday ( df, index _ ='datetime') : df _ = df. copy ( ) index _ values = df _ [ index _ ]. values. copy ( ) df _ [ index _ ] = [ i [ : 10 ] for i in df _ [ index _ ]. values ] df _ = df _. set _ index ( index _ ) for i in sorted ( list ( set ( df _. index. tolist ( ) ) ) ) : for j in df _. column...
[ -0.45310142636299133, 0.4723198413848877, 0.9261283874511719, -0.1548307090997696, -0.06851275265216827, 0.13137373328208923, 0.6138878464698792, -0.0804944559931755, -0.3309818506240845, -0.04130877926945686, 0.6967609524726868, -0.24627692997455597, 0.8103780150413513, -0.516330242156982...
def extract _ at _ mask ( self, outputs, batch ) : outputs = outputs [ paddle. where ( batch ['loss _ ids'] > 0 ) ] if outputs. shape [ 1 ] = = 1 : outputs = outputs. reshape ( [ outputs. shape [ 0 ], outputs. shape [ 2 ] ] ) return outputs
[ -0.6712576746940613, -0.8228861689567566, 0.5572588443756104, 0.903808057308197, 0.06988385319709778, -0.668687105178833, 0.4289311170578003, -0.9242770671844482, -0.14125312864780426, 0.5435144901275635, 0.5203127264976501, 0.11162026971578598, 0.4518648684024811, -0.5720695853233337, 0...
def roberts _ rgb ( image ) : return filters. roberts ( image )
[ -0.23840074241161346, -0.1717570424079895, 0.0924229770898819, 0.10212293267250061, 0.37510251998901367, -0.49571871757507324, 0.6790962815284729, -0.6626030802726746, 0.11843428760766983, 0.5571560263633728, 0.2147146463394165, 1.090973138809204, 0.08696942776441574, 0.7045161724090576, ...
def main ( ) : pp = pprint. prettyprinter ( indent = 4 ) # stop words print ( colored ( " the list of stop words ",'blue') ) # download it if you have not done it yet # download ('stopwords') # have a look at the list of stop words provided by nltk en _ stopwords = stopwords. words ('english') #n't should be added en _...
[ -0.17044423520565033, -0.6612034440040588, 1.0005468130111694, -0.032935865223407745, 0.15884798765182495, -0.048589933663606644, 0.042920880019664764, -0.17191347479820251, 0.014198388904333115, -0.05835895240306854, -0.1365254819393158, -0.21663261950016022, -0.18350869417190552, 0.12010...
def signal _ no ( self ) : return self. _ signal _ no
[ -0.5330868363380432, 0.09821043163537979, 0.3762076795101166, 0.8694169521331787, -0.24439360201358795, 0.3455260097980499, 0.915466845035553, 0.3999389708042145, -1.0613867044448853, -0.7044808268547058, -2.0590410232543945, 0.44956132769584656, 0.6310017108917236, 0.3826383948326111, -...
def compute _ dsw ( self, d _ ds, mx, my, h _ norm ) : if self. dtype = = np. complex128 : gemm = cublaszgemm else : gemm = cublascgemm d _ weight = parray. empty ( ( self. num _ neurons, self. num _ neurons ), self. dtype ) handle = la. cublashandle ( ) gemm ( handle. handle,'c ','n ', self. num _ neurons, self. num _...
[ -0.4946211576461792, 0.9863446950912476, 0.7126656174659729, 0.638152539730072, -1.12321138381958, -0.44068557024002075, 0.3281503915786743, 0.7199996113777161, -0.01882774941623211, -0.23619090020656586, 0.4802578389644623, 0.9127897024154663, 0.5251820087432861, 0.30338069796562195, 0....
def addmappingstothingtype ( self, thingtypeid, logicalinterfaceid, mappingsobject, notificationstrategy = " never " ) : req = apiclient. allthingtypemappingsurl % ( self. host, " / draft ", thingtypeid ) try : mappings = json. dumps ( { " logicalinterfaceid " : logicalinterfaceid, " notificationstrategy " : notificati...
[ -1.8345062732696533, -0.13941769301891327, 0.6711385846138, -0.4664008915424347, -0.03505104035139084, 0.2020920068025589, -0.6568689942359924, -0.962428629398346, 0.2980588972568512, 0.38883617520332336, -0.5713772773742676, 0.07410962134599686, -0.6634947657585144, 0.41588857769966125, ...
def add _ interval _ to _ other _ interval ( self, added _ interval, add _ to _ interval, with _ sign = 1 ) : x1 = self. get _ intersections _ with _ interval ( add _ to _ interval ) x2 = self. get _ intersections _ with _ interval ( added _ interval ) x1 + = with _ sign * x2
[ -0.7757108807563782, -0.5159842371940613, 0.8798760771751404, 1.2424012422561646, 0.06445187330245972, 0.31961092352867126, -0.1198325902223587, -0.5960093140602112, -0.33236849308013916, -0.03382475674152374, -0.4063066244125366, 0.14756998419761658, -0.40322765707969666, -0.2118872553110...
def with _ task ( self, task ) : b = self. _ copy ( ) b. config ['task'] = task return b
[ -0.09270858764648438, 0.5078432559967041, 0.46358025074005127, 1.2834112644195557, -0.7495393753051758, 0.2089269906282425, -0.04709533229470253, -0.5123328566551208, 0.5770213603973389, 0.31173816323280334, -0.9781152009963989, -0.021044399589300156, 0.44791048765182495, 0.023719176650047...
def check _ missing _ properties ( self, t : festim. temperature, derived _ quantities : list ) : if isinstance ( t, heattransferproblem ) : if self. materials [ 0 ]. thermal _ cond is none : raise valueerror ( " missing thermal _ cond in materials " ) if t. transient : if self. materials [ 0 ]. heat _ capacity is none...
[ 0.6408463716506958, -0.9952532052993774, 0.4839789569377899, -0.34419289231300354, 0.6530212163925171, 1.0069130659103394, -0.34813475608825684, 0.22386695444583893, -1.5152060985565186, -0.3418025076389313, 0.31995564699172974, -0.1695283204317093, 0.40268445014953613, 1.183228611946106, ...
def parse _ request _ body _ response ( self, * args, * * kwargs ) :
[ -0.9640344381332397, -1.0147674083709717, 0.31493079662323, 0.5070844888687134, 0.564987063407898, 0.0023915767669677734, -0.3502395451068878, -0.36373332142829895, 0.41113653779029846, -0.6194457411766052, -0.4086693525314331, -0.3143923282623291, -0.6154198050498962, -0.39805954694747925...
def prepare _ start _ perf _ test ( self, xact _ info, action, ks _ path, msg ) : test _ id = len ( self. test _ results. test ) xpath = " o, / rw - dtsperfmgr : start - perf - test " response = rwdtsperfmgr. startperftestoutput ( test _ id = test _ id ) if msg. test _ type not in self. test _ handlers : xact _ info. r...
[ 0.832233190536499, -0.125321626663208, 0.6096959710121155, -0.8838321566581726, -0.6141085624694824, -0.21566137671470642, 0.6839221715927124, -0.6117069721221924, 0.25850945711135864, -0.05724793300032616, 0.8551116585731506, -0.23338229954242706, -1.3462305068969727, 0.35144221782684326,...
def angletosteps ( self, angle ) : # make sure there is a 1 : 1 mapping between angle and stepper angle target _ step _ angle = 8 * ( int ( angle / self. deg _ per _ step ) / 8 ) steps = target _ step _ angle - self. step _ angle steps = ( steps % self. steps _ per _ rev ) if steps > self. steps _ per _ rev / 2 : steps...
[ -1.0944257974624634, 0.04428373649716377, 0.42602604627609253, -0.37320828437805176, 0.10943993926048279, -0.11770308017730713, 0.6278256773948669, -0.426020085811615, 0.46592846512794495, -0.3194045424461365, -0.18105387687683105, -0.6756901144981384, -0.07583624124526978, 0.5765004754066...
def process _ urls ( self, original _ obj ) : pass
[ -0.3901676833629608, -1.0056136846542358, 0.45819079875946045, 0.1254742443561554, -0.6188517808914185, 0.4241931140422821, 0.6068286895751953, 1.016950249671936, 0.08420677483081818, -0.5600233674049377, -0.47068995237350464, 0.25910791754722595, 0.5760095119476318, 0.30009010434150696, ...
def build _ nvic ( n _ ext ) : # ipr registers support 4 interrupts per word. n _ ipr = ( n _ ext + 3 ) > > 2 # other registers support 1 interrupt per bit n _ other = ( n _ ext + 31 ) > > 5 nvic _ info = ( ('ictr ', 0x004, none,'( r / ) interrupt controller type register'), ('iser ', 0x100, n _ other,'( r / w ) interr...
[ 0.11023743450641632, 0.36801254749298096, 0.9775652885437012, -0.1633814424276352, -0.5944501161575317, -0.23524075746536255, -0.09832072257995605, -1.0530803203582764, 0.6297310590744019, -0.0861150473356247, -0.42834675312042236, -0.15257476270198822, -1.222472906112671, -1.1720075607299...