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def test _ multi _ fetch _ data _ multi _ series _ configured _ aggregation _ functions ( self ) : nodes = list ( self. finder. find _ nodes ( query ( self. metric _ prefix + ". agg _ path. * " ) ) ) paths = [ node. path for node in nodes ] aggregation _ funcs = sorted ( list ( set ( graphite _ influxdb. utils. get _ a...
[ -0.3408225476741791, 0.9509522318840027, 0.591417133808136, 0.5440277457237244, 1.0400233268737793, 0.023071952164173126, -0.050705794245004654, -0.9720332026481628, -0.5762166976928711, -0.4429452121257782, -0.2604784667491913, 0.3162747621536255, 0.7929723262786865, 0.06935212761163712, ...
def correlation _ 5 ( x, y ) : mx = k. mean ( x [ :, :, :, :, 0 ] ) my = k. mean ( y [ :, :, :, :, 0 ] ) xm, ym = x [ :, :, :, :, 0 ] - mx, y [ :, :, :, :, 0 ] - my r _ num = k. mean ( tf. multiply ( xm, ym ) ) r _ den = k. std ( xm ) * k. std ( ym ) return r _ num / ( r _ den + k. epsilon ( ) )
[ 0.1850130558013916, 0.23405371606349945, 0.9103032946586609, -0.09193077683448792, -0.8010334968566895, -0.2472684681415558, 0.6851442456245422, -0.8280490040779114, -0.9557854533195496, 1.242830514907837, 0.09632150828838348, -0.007323811762034893, -0.04143424704670906, -0.131239384412765...
def interpolate _ arrays ( arrays, t, tp ) : i, w = linear _ interpolation ( t, tp ) if isinstance ( arrays, np. lib. npyio. npzfile ) : # arrays behaves as a dict with keys u1, u2,... if w is none : return arrays ['u % 04d'% i ], i, none else : return w * arrays ['u % 04d'% i ] + \ ( 1 - w ) * arrays ['u % 04d'% ( i +...
[ 0.19607022404670715, -0.5636045932769775, 0.6105299592018127, -0.1755516529083252, -0.09794294089078903, 0.28863874077796936, 0.4197999835014343, 0.3475548028945923, 0.34066811203956604, 0.5043610334396362, -0.49386289715766907, -0.8025019764900208, -0.2981835901737213, 0.1388510912656784,...
def damage ( self ) : self. pkmn. setstat ( " hp ", self. hp ) damage = self. trap. getdamage ( self. pkmn ) assert damage = = self. hp / trap. ratio, " damage should be a sixteenth of the targets health "
[ -0.10500461608171463, 0.0934879407286644, 0.2664281129837036, -0.03610008582472801, 1.4507887363433838, 0.2366921305656433, -0.5434324741363525, 0.37178027629852295, -0.047508079558610916, -0.8339281678199768, 0.9641662240028381, -0.5708149075508118, 0.22575409710407257, -0.260922580957412...
def oai _ result _ item ( self, identity, oai _ record _ source ) : record = self. record _ cls. loads ( oai _ record _ source ) return self. result _ item ( self, identity, record, links _ tpl = self. links _ item _ tpl, )
[ -0.6139344573020935, 0.3626265525817871, 0.3913452625274658, -0.085028275847435, -0.06051389500498772, -0.35372111201286316, -0.04231163486838341, -0.37076616287231445, 0.41995635628700256, -0.4202406406402588, 0.02977548912167549, -0.20216627418994904, -0.04013862833380699, -1.04741811752...
def extract _ vars ( samples _ file _ name, n _ burnin, v _ names, debug, stride = 1 ) : # open text file with all samples, samples _ file = open ( samples _ file _ name, " r " ) # extract first line with the column labels and find the column # numbers corresponding to the variables of interest. labels _ line = samples...
[ -0.07743971049785614, -0.9647349715232849, 0.8313969373703003, -0.14805401861667633, -0.2358519583940506, -0.34232327342033386, 0.1861182451248169, -0.0876951664686203, -0.7781470417976379, 0.5986563563346863, -0.39651256799697876, 0.2658320665359497, -0.41407153010368347, -0.0305862873792...
def solve _ bind ( expr, vars ) : value _ expressions = [ ] keys = [ ] for pair in expr. children : keys. append ( solve ( pair. key, vars ). value ) value _ expressions. append ( pair. value ) result = row _ tuple. rowtuple ( ordered _ columns = keys ) intermediate _ scope = scope. scopestack ( vars, result ) for idx,...
[ -0.8402572274208069, 0.5613937377929688, 0.6631242036819458, 0.6532387137413025, -0.4314137101173401, -1.5052419900894165, 0.21708419919013977, 0.1286887526512146, -0.3111859858036041, 0.3803262710571289, -0.16141867637634277, -0.22282429039478302, -0.2123103141784668, 0.001798560610041022...
def test _ feeds _ loaded ( self, history ) : entry = {'id':'1234'} history. add _ seen _ feed ( entry,'http : / / example. com') assert len ( history ) = = 1 # now create a new history object orig _ uri = history. store. uri new _ history = pmxbot. rss. feedhistory ( orig _ uri ) assert len ( new _ history ) = = 1 ass...
[ 0.2486981451511383, 0.3997175693511963, 0.47357556223869324, -0.6845464110374451, 0.3357309103012085, -0.097213514149189, -0.3575148582458496, -0.41133323311805725, 0.5977382063865662, -1.1934845447540283, -0.8508153557777405, 0.5092253088951111, -0.403511643409729, -0.025969291105866432, ...
def pad _ query ( query ) : extension = [ ] extended _ query = query. copy ( ) for i in range ( 0, 9 - len ( query ) ) : extension. append ( 0 ) extended _ query. extend ( extension ) extended _ query = np. array ( extended _ query ) extended _ query = extended _ query. reshape ( 1, - 1 ) return extended _ query
[ 0.35344576835632324, 0.6636120080947876, 0.6207124590873718, -0.12341982126235962, 0.08944865316152573, 0.4231797158718109, -0.7210540771484375, 0.07979675382375717, 1.8277781009674072, 0.03996974974870682, 0.7692486047744751, 0.19922879338264465, -0.4853198528289795, 0.10217384994029999, ...
def _ struct _ lookup ( self, index ) : lookup = ( s for s in self. index. structures if s. index = = index ) try : return next ( lookup ) except stopiteration : if index > len ( self. index. type _ names ) or index < 0 : msg ='type index { } is not valid for this blend file '. format ( index ) else : type _ name = sel...
[ -0.5867419242858887, -0.44112280011177063, 0.6955292820930481, -0.9408574104309082, 0.30431026220321655, -0.1441112905740738, 0.8175045251846313, -1.5490792989730835, -0.24841684103012085, 0.01050143875181675, 0.9735661745071411, 0.16335423290729523, -0.9037634134292603, -0.592750668525695...
def _ autoaxis _ y _ cb ( self, setting, autoaxis _ y ) : if autoaxis _ y = ='on': msg = " autoaxis y on " elif autoaxis _ y = ='vis': msg = " autoaxis y vis " else : msg = " autoaxis y off " self. viewer. onscreen _ message ( msg, delay = 1. 0 ) self. adjust _ view ( )
[ 0.10429556667804718, -0.3028232753276825, 0.6343753337860107, 0.27125483751296997, -0.4063834846019745, -0.9685478806495667, 1.0772373676300049, -0.36726513504981995, 0.39687806367874146, 0.07685257494449615, -0.19255593419075012, 0.8381444215774536, 0.551746666431427, 0.03296447545289993,...
def get _ parts _ by _ name ( self, pname ) : res = [ ] for part in self. parts : name = self. get _ part _ name ( part ) if name = = pname : res. append ( part ) return res
[ -0.3018651604652405, -0.4224219024181366, 0.2918049693107605, 0.16435660421848297, 0.208840474486351, 0.23043686151504517, -1.2225587368011475, -0.484416127204895, -0.059779342263936996, 1.1605851650238037, -0.3966236114501953, -0.13637468218803406, -1.2206693887710571, 0.2396688461303711,...
def bad _ request ( start _ response ) : output = [ ] output _ len = sum ( len ( line ) for line in output ) start _ response ('400 bad request ', [ ('content - type ','application / json'), ('content - length ', str ( output _ len ) ) ] ) return output
[ -0.3305167257785797, -1.488081693649292, 0.675450325012207, 0.09875257313251495, 0.501695454120636, -1.0112226009368896, -0.8602242469787598, -0.6410871148109436, 0.12140849977731705, -0.09575760364532471, -0.5464590787887573, 0.23246033489704132, -0.3159633278846741, 0.40328890085220337, ...
def _ istypecheck ( interface, node, args ) : if len ( args ) = = 0 or args [ 0 ] [ 0 ]! ='pp _ resource': return false return node. getname ( ) = ='is % s'% _ getshortname ( interface, ['dev ','private'] )
[ -1.0523195266723633, 0.9342337846755981, 0.5720597505569458, 0.3251029849052429, 0.7288055419921875, 0.36990469694137573, 0.17396663129329681, -1.0531593561172485, 0.3309881091117859, 0.4110119044780731, 0.8615779876708984, 0.24622932076454163, -0.7873420119285583, 0.7969764471054077, 0....
def all _ affected ( self ) : for i in self : if self [ i ]. phenotype = = " 2 " : yield self [ i ]
[ -0.03067564219236374, -1.1869608163833618, 0.6892549991607666, 1.1216137409210205, -0.3078819811344147, -0.08028967678546906, -0.10560829192399979, 0.8265320658683777, -0.2987363338470459, -0.39205998182296753, -0.47963961958885193, 1.2166181802749634, -0.5566835999488831, 0.64628034830093...
def test _ filesystem _ create _ same _ name ( self ) : pool _ name = p _ n ( ) pool _ path = make _ test _ pool ( pool _ name, stratiscertify. disks [ 0 : 1 ] ) fs _ name = fs _ n ( ) make _ test _ filesystem ( pool _ path, fs _ name ) self. _ unittest _ command ( stratisdbus. fs _ create ( pool _ path, fs _ name ), d...
[ -0.02596355602145195, 0.44727107882499695, 0.6177343130111694, -0.05912235751748085, 1.1968486309051514, 0.3514747619628906, 0.4891669750213623, -1.4870795011520386, 0.6257457733154297, -0.882753849029541, -0.7290897369384766, -0.13825562596321106, 0.009356406517326832, 0.163224458694458, ...
def test _ equality ( self ) : tools. eq _ ( self. old _ manifest, manifest ( stringio ( old _ manifest ) ) )
[ 0.7624117732048035, -1.4996397495269775, 0.11897221952676773, 0.040770236402750015, 0.3687497079372406, 0.10495205968618393, -0.1256989985704422, 0.0902922973036766, 0.6186195611953735, -0.06689537316560745, -0.4871724843978882, 0.9079863429069519, 0.4461313486099243, -0.1572389155626297, ...
def create _ model ( params, is _ train ) : with tf. name _ scope ( " model " ) : categories = tf. keras. layers. input ( ( none, ), dtype = " int32 ", name = " categories " ) mask _ positions = tf. keras. layers. input ( ( none, 1 ), dtype = " int32 ", name = " mask _ positions " ) if params [ " with _ cnn " ] : input...
[ -0.10223738104104996, 0.06515059620141983, 0.5632317662239075, 0.6418421864509583, 0.12875935435295105, -0.17672665417194366, 0.03213903307914734, 0.19457654654979706, -0.3447000980377197, -0.04592161253094673, 0.08177080750465393, 0.501724123954773, 0.5672392845153809, 0.23257948458194733...
def physics _ only _ simulation _ validator ( self ) : go _ on, fit = self. simulate ( ) while go _ on : # simulate physics man. step ( near _ callback, self. n ) self. elapsed _ time + = self. dt go _ on, fit = self. simulate ( ) print ( fit )
[ 0.3314446210861206, 0.5627884268760681, 0.37606191635131836, 1.17537260055542, -0.22568202018737793, 1.109457015991211, -0.3351513743400574, -0.877225935459137, 0.02943907119333744, -0.5409715175628662, 0.1436212807893753, 0.03535030409693718, -0.3127724528312683, 0.7336283922195435, 0.3...
def winbio _ winbioenrollcapture ( jitter ) : ret _ ad, args = jitter. func _ args _ stdcall ( [ " sessionhandle ", " rejectdetail " ] ) raise runtimeerror ('api not implemented') jitter. func _ ret _ stdcall ( ret _ ad, ret _ value )
[ -0.32926085591316223, 0.0022847792133688927, 0.6431082487106323, 0.7700508832931519, -0.9378197193145752, 1.2838209867477417, 1.0244559049606323, -0.4245666563510895, 0.6377309560775757, 0.3751157820224762, -0.3632444143295288, 0.6155204772949219, -1.2398649454116821, 1.4054219722747803, ...
def filter _ langs ( query ) : from languages import langs if not query : return [ pair for pair in langs if len ( pair [ 1 ] ) = = 3 ] langs = [ ] query = query. lower ( ) for lang, code in langs : if len ( code )! = 3 : continue if query in lang. lower ( ) or query in code. lower ( ) : langs. append ( ( lang, code ) ...
[ -0.6192800998687744, 0.2417302280664444, 0.4407726526260376, -0.2752704918384552, -1.304738163948059, 0.3336859941482544, -1.1471542119979858, 0.5414454936981201, 0.8374021649360657, 0.5503449440002441, 0.1276392787694931, -0.43150752782821655, -1.0036882162094116, 0.4184117019176483, -0...
def pytest _ sessionfinish ( exitstatus, session ) : if global _ var ['config']! = none : if logger _ gv. init : logger _ gv. debug ('global result of the test') print ( " \ n " ) if exitstatus = = 0 : if logger _ gv. init : logger _ gv. debug ('- - - > passed') print ( " \ n " ) print ('ssssssss ssss ssssssss ssssssss...
[ 0.21978411078453064, -0.7366039752960205, 1.0878074169158936, -0.48338785767555237, -0.04131355881690979, 0.7900029420852661, -0.12778429687023163, -0.4188530445098877, -0.11780983209609985, 0.4236159324645996, -0.6808712482452393, 0.7389355897903442, 0.40470466017723083, 1.146149158477783...
def _ _ init _ _ ( self, start _ offset : timetype, wait _ time : timetype, end _ offset : optional [ timetype ] = 0 ) : self. wait _ time = wait _ time self. start _ offset = start _ offset self. end _ offset = end _ offset
[ -0.23886573314666748, -0.48622822761535645, 0.6680365800857544, 0.055189959704875946, 0.38702237606048584, 0.96216881275177, -0.47235727310180664, 0.7909654378890991, -0.8794658184051514, 0.44799351692199707, -0.5659166574478149, 0.22306689620018005, 0.3181939721107483, 0.20963634550571442...
def test _ ens _ reverse _ lookup ( ethereum _ inquirer ) : call _ contract _ patch = patch. object ( ethereum _ inquirer,'call _ contract ', wraps = ethereum _ inquirer. call _ contract, ) # the patch is just to to check that chunking works correctly # we do 2 requests - first without splitting in chunks and in the se...
[ -0.3437540829181671, 0.0032342858612537384, 0.9400224089622498, -0.9800411462783813, 0.6929314732551575, -0.07527778297662735, -0.34000363945961, 0.12241985648870468, 0.10342702269554138, 0.09417712688446045, -0.3221067488193512, -0.13471901416778564, -0.3617468476295471, -0.17506052553653...
def create _ private ( self, fqdomain, availability _ zone, response _ key = true, * * kwargs ) : body = {'domain _ entry': {'scope':'private ','availability _ zone': availability _ zone } } key = none if response _ key : key ='domain _ entry'return self. _ update ('/ os - floating - ip - dns / % s'% _ quote _ domain (...
[ -0.7668549418449402, -0.12303148210048676, 0.47978296875953674, -0.3494946360588074, -0.014244629070162773, 0.15882346034049988, 0.25856897234916687, -1.4293211698532104, 0.9945873618125916, -0.6853020787239075, -0.7771487236022949, 0.3183269202709198, -0.5534050464630127, 0.02257181890308...
def get _ params ( self, deep = true ) : return self. model. get _ params ( deep )
[ -1.467549443244934, 1.0051716566085815, 0.2821836471557617, 0.4814926087856293, 0.47595423460006714, 0.2944513261318207, -0.31987398862838745, 0.359994113445282, -1.5812170505523682, 0.057076167315244675, -0.6999846696853638, 0.7963874936103821, -0.08014148473739624, 1.0265964269638062, ...
def save _ model ( self, optimizer, epoch, best _ model ) : print ( " [ - - - - ] saving current network state " ) epoch = " " if best _ model else f " _ { epoch } " torch. save ( self. state _ dict ( ), os. path. join ( self. save _ folder, f " params { epoch }. net " ) ) torch. save ( optimizer. state _ dict ( ), os....
[ 0.3494606018066406, -0.4936303198337555, 0.4560753107070923, 0.1261129230260849, 1.0714503526687622, 0.7310160994529724, -0.0902983620762825, -0.21796724200248718, -0.5715211033821106, 0.0857282280921936, -1.1798615455627441, -0.4618363678455353, 0.3550375998020172, 0.7013588547706604, -...
def _ _ init _ _ ( _ _ self _ _, *, asset _ name : str, dataset _ version : str, enable _ incremental _ dataset _ refresh : optional [ bool ] = none ) : pulumi. set ( _ _ self _ _, " asset _ name ", asset _ name ) pulumi. set ( _ _ self _ _, " dataset _ version ", dataset _ version ) if enable _ incremental _ dataset _...
[ 0.1402050107717514, 0.27077552676200867, 0.5262872576713562, -0.5096017122268677, -0.2793178856372833, 0.565108060836792, -0.5602118372917175, 0.09053832292556763, 0.08737991005182266, 0.13643069565296173, -0.3850787281990051, 0.9670783877372742, 0.80938321352005, -0.9383711814880371, -0...
def test _ ipaddr ( self ) - > none : self. lookups [ " example. com " ] = [ ( ipv4address, " 10. 1. 2. 3 " ) ] channel = self. make _ request ( " get ", " preview _ url? url = http : / / example. com ", shorthand = false, await _ result = false, ) self. pump ( ) client = self. reactor. tcpclients [ 0 ] [ 2 ]. buildpro...
[ -0.20999430119991302, 0.8858034610748291, 0.6101560592651367, -0.8035801649093628, 0.004902873653918505, 0.062045175582170486, -0.32825079560279846, -0.28962451219558716, 0.024908356368541718, 0.033937130123376846, 0.2584107518196106, 0.5654073357582092, -0.0681997761130333, -0.45414578914...
def test _ owners _ access _ gen ( test _ class, user, file _ name, content, mode ) : def test ( self ) : # check access to a file for owners os. system ('sudo chown { user } { file } '. format ( user = user, file = file _ name ) ) file _ content = sb. check _ output ( ['sudo ','- u ', user,'cat ', file _ name ], stder...
[ 0.09495136141777039, -0.5534756779670715, 0.6056880950927734, 0.00222072284668684, 0.13428868353366852, 0.5000141263008118, 0.8746694922447205, 0.157335102558136, -1.3812570571899414, -1.2710158824920654, 0.9726603031158447, -0.023967456072568893, 1.092816948890686, -0.028777508065104485, ...
def save ( self, path : union [ str, pathlib. path, io. bufferediobase ], exclude : optional [ iterable [ str ] ] = none, include : optional [ iterable [ str ] ] = none, ) - > none : # add her parameters to model self. model. n _ sampled _ goal = self. n _ sampled _ goal self. model. goal _ selection _ strategy = self....
[ -0.4068545997142792, -0.03427211940288544, 0.6889042258262634, 0.45205017924308777, -0.44115304946899414, 0.9028599858283997, 0.27330341935157776, 0.3935527503490448, -0.36827564239501953, 0.7396857738494873, -1.4516847133636475, -0.10397046059370041, -0.49933746457099915, 0.02431082725524...
def _ _ len _ _ ( self ) : return len ( list ( self. _ _ iter _ _ ( ) ) )
[ -0.06831718981266022, -0.6159245371818542, 0.24588817358016968, -1.3524469137191772, 0.6362090110778809, 0.3675738573074341, 0.07009869813919067, 1.1362299919128418, 0.6086397767066956, -0.5595077276229858, -1.055345892906189, -0.495315819978714, 0.5369867086410522, -0.018475377932190895, ...
def update _ names ( ) : logger. info ( " [ observations. tasks. update _ names ] start updating names... " ) encs = utils. reconstruct _ animal _ names ( ) msg = " [ observations. tasks. update _ names ] { } animal names reconstructed. ". format ( len ( encs ) ) logger. info ( msg )
[ -0.7552288174629211, -0.43246936798095703, 0.3370862603187561, -0.901573896408081, -0.492159366607666, -0.08977209031581879, -0.3021480441093445, 0.14985960721969604, -0.8876990079879761, 0.9628469347953796, -0.957550048828125, 0.8121874928474426, 0.5747572779655457, -0.48638033866882324, ...
def random _ transform _ group _ entry ( self, image, annotations, transform = none ) : # randomly transform both image and annotations if transform is not none or self. transform _ generator : if transform is none : transform = adjust _ transform _ for _ image ( next ( self. transform _ generator ), image, self. trans...
[ -0.44578817486763, -0.1881970763206482, 0.35033440589904785, -0.7282520532608032, 0.16816338896751404, -0.13962413370609283, 0.36509644985198975, -0.20292958617210388, 0.28699204325675964, -0.09042702615261078, 0.3821770250797272, 0.35236769914627075, -0.04824810475111008, 0.63910210132598...
def _ set _ creation _ counter ( self ) : self. creation _ counter = manager. creation _ counter manager. creation _ counter + = 1
[ -0.1687767505645752, -0.05379229411482811, 0.3142448961734772, -0.05284355208277702, 0.5341951847076416, 0.5355995297431946, 0.5219607949256897, -0.06551838666200638, -1.0668171644210815, -1.4170944690704346, -0.41273194551467896, -0.1753673553466797, 0.5409387350082397, 1.217840313911438,...
def decode ( self, value ) : return super ( datetimefield, self ). decode ( datetime. datetime. strptime ( value, self. format ) )
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def _ set _ fields ( names, data, obj ) : template = re. compile ('(. + ) _ \ d + _ ( \ d + )') gen = zip ( names, data ) while true : name, value = gen. _ _ next _ _ ( ) match = template. findall ( name ) if len ( match ) = = 0 : setattr ( obj, name, value ) else : field _ name, array _ len = match [ 0 ] arr = [ value...
[ -1.2854024171829224, 0.23075488209724426, 0.7488662004470825, -1.1738187074661255, -0.3760336637496948, -0.6175143718719482, -0.04253789037466049, -0.19439496099948883, -0.5628650784492493, -0.02606595680117607, -1.448612093925476, -0.907139241695404, 0.37522783875465393, -0.21311326324939...
def savedataframe ( dataframe, path ) : try : dataframe. write. mode ('overwrite'). parquet ( path ) except : print'error : dataframe cloud not be saved at'+ path return false return true
[ -0.48748984932899475, 0.4987119138240814, 0.5552891492843628, -0.027142707258462906, 0.6094607710838318, 0.49647536873817444, 0.3020895719528198, -0.5369669198989868, -1.0527054071426392, -0.4272841513156891, -0.5795629620552063, -0.7254112958908081, -0.6775058507919312, -0.958939075469970...
def _ calculate _ single _ penalty ( rp, ra ) : # calculate the penalty on the basis of rp, ra penalty = 5. 0 * ( 1. 0 - math. pow ( ( rp / gt6. jr - 2. 0 ) / 15. 0, 2 ) ) * ( 1. 0 + 1. 0 / ( 1. 0 + ra / gt6. jr - rp / gt6. jr ) ) * ( ( 1. 0 + np. sign ( ra ) ) * ( 1 + np. sign ( 17. 0 - rp / gt6. jr ) ) / 4. 0 ) ; ret...
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def set _ active _ guide _ name _ settings ( * args ) : if guides. active _ guide is not none : app _ settings. set ('active _ guide _ name ', guides. active _ guide. guide _ name ) else : app _ settings. set ('active _ guide _ name ','' )
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def get _ next _ pk _ trough ( pk _ pos, pk _ neg ) : ix _ nxt _ neg = [ np. where ( ppos < pk _ neg ) [ 0 ] for ppos in pk _ pos ] ix _ nxt _ neg = [ i [ 0 ] for i in ix _ nxt _ neg if i. size ] if len ( ix _ nxt _ neg ) > len ( set ( ix _ nxt _ neg ) ) : # remove reapated pos pk dupes = [ n for n, x in enumerate ( ix...
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def get _ latest _ project _ storage ( max _ project _ id = none ) : offset = 0 limit = 1000 latest = - 1 all _ projects = [ ] while true : prjs = [ p for p in project. listing ( service _ account ( ), offset = offset, limit = limit ) ] all _ projects + = prjs offset + = limit if len ( prjs ) < limit : break for prj in...
[ -0.19087539613246918, 0.2843936085700989, 0.7786611914634705, 0.018266770988702774, -0.3781900703907013, 0.40662989020347595, -0.00869104266166687, 0.2720290720462799, 0.3893878161907196, 0.18752892315387726, 0.41533342003822327, 0.6030895709991455, -0.6496851444244385, -0.0745088160037994...
def show _ image _ and _ keypoints ( image, keypoints, image _ name = none, save _ folder = none ) : plt. imshow ( image ) for key _ index in range ( len ( keypoints ) ) : plt. scatter ( x = keypoints [ key _ index ] [ 0 ], y = keypoints [ key _ index ] [ 1 ], c ='r') plt. annotate ( str ( key _ index ), ( keypoints [ ...
[ 0.340668648481369, -0.13487671315670013, 0.4374697804450989, 0.1262439787387848, -0.9433209300041199, 0.5050963759422302, -0.27874764800071716, 1.2639116048812866, -0.0020735503640025854, 1.2073384523391724, 0.004450205247849226, 0.3927425742149353, 0.5168865919113159, 0.7017248272895813, ...
def rotatexyandshift ( x, y, dx, dy, angle ) : import math x = x - 0 # xc y = y - 0 # yc angle = math. radians ( angle ) xr = ( x * math. cos ( angle ) ) - ( y * math. sin ( angle ) ) + 0 # xc yr = ( x * math. sin ( angle ) ) + ( y * math. cos ( angle ) ) + 0 # yc return xr + dx, yr + dy
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def click _ managingaddress ( self ) : m = self. driver. find _ element _ by _ css _ selector ( self. css _ managingaddress ) action = touchactions ( self. driver ) action. tap ( m ). perform ( ) time. sleep ( 0. 5 ) # self. driver. implicitly _ wait ( 5 )
[ 0.30488547682762146, 0.23678070306777954, 0.4836138188838959, 0.45244452357292175, 0.6748321652412415, -0.28773218393325806, 1.077303171157837, -0.3836337924003601, 1.3694952726364136, -0.029003091156482697, -0.03951549530029297, 0.5230948328971863, -0.35456588864326477, 0.0201607141643762...
def cpu _ turn ( dominoes, played, winner ) : cmd = input ( " status : computer is about to make a move. press enter to continue... \ n " ) if winner : return none # find left and right most played numbers left = played [ 0 ] [ 0 ] length = len ( played ) right = played [ length - 1 ] [ 1 ] # determine if computer has ...
[ -0.2740531265735626, 0.7340021133422852, 1.0645337104797363, 0.11576562374830246, -0.3838003873825073, -0.19854821264743805, 0.7455500364303589, 0.4439522624015808, -0.1821235865354538, 0.3667333424091339, -1.0642247200012207, -0.17903132736682892, -0.6441839933395386, -0.36409792304039, ...
def getbackingmachine ( self ) : return self. thebackingmachine
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def evaluate _ players ( p1 : player, p2 : player, games _ per _ battle = 10, num _ battles = 100, show _ step = true ) : p1 _ wins = [ ] p2 _ wins = [ ] draws = [ ] # for printing previous = 0 for i in range ( num _ battles ) : p1win, p2win, draw = battle ( p1, p2, num _ games = games _ per _ battle, show = false ) p1...
[ -0.18226170539855957, -0.022820282727479935, 0.7635169625282288, -0.09668494015932083, 0.06285274773836136, 0.5631048679351807, -0.033276092261075974, -0.11898680031299591, -0.8508033752441406, 0.08393785357475281, -0.052511848509311676, -0.08042272925376892, 0.49315300583839417, 0.3995427...
def validate _ user _ details ( self, * args ) : firstname = args [ 0 ] lastname = args [ 1 ] email = args [ 2 ] username = args [ 3 ] password = args [ 4 ] phonenumber = args [ 5 ] isadmin = args [ 6 ] othernames = args [ 7 ] email _ validation = re. compile ( " ( ^ [ a - za - z0 - 9 _. ] + @ [ a - za - z0 - 9 - ] + \...
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def test _ installreactorreturnsreactor ( self ) : reactor = object ( ) def install ( ) : from twisted import internet self. patch ( internet,'reactor ', reactor ) name ='fakereactortest'package = _ _ name _ _ description ='description'self. pluginresults = [ fakereactor ( install, name, package, description ) ] instal...
[ -0.3126324415206909, -0.6869315505027771, 0.28716394305229187, -0.7642419934272766, 0.9393832683563232, -1.2931758165359497, -0.16585233807563782, 0.49111390113830566, 0.921256422996521, -0.011505033820867538, -1.6859948635101318, -0.2288731336593628, -1.4782984256744385, -0.59899520874023...
def preprocess ( infile, outfile ) : p1 = re. compile ( r " (? : ( current. * \ s? ) ) | ( [ ^ a - z \ s'0 - 9a - z ] ) " ) # removes current url : line and everything except a - z, 0 - 9 and '. # removes spaces between'and removes'that are unattached to letters. p2 = re. compile ( r " ( [ a - z ] + ) \ ( [ a - z ]?'[ ...
[ 0.4212372899055481, -1.2716745138168335, 0.687183678150177, -0.7627235054969788, -0.2621416449546814, 0.4644753932952881, 0.47231996059417725, 1.4565587043762207, -0.083198681473732, -0.04728927090764046, -0.11041439324617386, 0.30190929770469666, -0.17165078222751617, 0.4237346947193146, ...
def back _ track ( src, dest, predecessor ) : node = dest # make a copy of the destination node shortest _ path = [ ] # store shortest path from source to destination while node! = src : try : shortest _ path. append ( node ) # add the node to the list node = predecessor [ node ] except : print ( " route not found! " )...
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def tokenize ( text ) : tokens = [ normalize ( t ) for t in re. split ('+ ', text ) ] # remove the first'i'if len ( tokens ) > 0 and tokens [ 0 ] = ='i': tokens = tokens [ 1 : ] return tokens
[ -0.897883415222168, -0.35920459032058716, 0.4926413893699646, 0.676510214805603, -1.1281204223632812, -0.2108047902584076, 0.1421441286802292, 1.2904738187789917, 0.8008085489273071, 0.5823010206222534, -0.7768391966819763, -0.5366355776786804, -1.1708301305770874, -0.5134013295173645, 0...
def mod1func ( ) : log ( " executing mod1func " )
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def configure _ cli ( subparsers ) : parser = subparsers. add _ parser ('unpack ', help ='unpack hdf5 file') parser. add _ argument ('- - force ','- f ', help ='write into non - empty directories ', action ='store _ true') parser. add _ argument ('- - output ','- o ', type = str, help ='output directory ', metavar ='ou...
[ 0.44641217589378357, 0.14574652910232544, 0.8049361705780029, 0.17963410913944244, 0.5132783055305481, -0.41938912868499756, -0.0024070031940937042, 0.5569117665290833, -0.975678026676178, -0.13045701384544373, -0.10011860728263855, -0.2856961190700531, 0.38787832856178284, 0.1207153350114...
def scroll _ to _ bottom ( self ) : scroll _ pause _ time = 1. 75 # get scroll height last _ height = self. driver. execute _ script ('return document. body. scrollheight') while true : self. driver. execute _ script ('window. scrollto ( 0, document. body. scrollheight ) ;') time. sleep ( scroll _ pause _ time ) new _ ...
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def adjust ( loomfile, model, hapcode, verbose ) : utils. configure _ logging ( verbose ) scbase. adjust ( loomfile, model, hapcode )
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def get _ embedding _ dart ( self, dart, propertydict ) : for d in self. orbit ( dart, [ 1, 2 ] ) : if propertydict. has _ key ( d ) : return d return dart
[ 0.032284412533044815, -0.06902032345533371, 0.5081345438957214, -0.06461343914270401, -0.47686365246772766, 0.9922870993614197, -0.8600813746452332, 0.17659008502960205, -0.10742118209600449, -0.2527523338794708, 1.5998646020889282, 0.21656233072280884, 0.1664048433303833, 0.00117412954568...
def new ( request ) : return edit ( request, none )
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def tpg ( axial _ travel, filament _ width _ og, printbed _ diameter, final _ diameter, helix _ angle, smear _ factor, feedrate _ og ) : del commands [ : ] commands. append ( " ; parameters " ) commands. append ( " ; filament _ width = { } ". format ( filament _ width _ og ) ) commands. append ( " ; axial _ travel = { ...
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def _ _ init _ _ ( self, line ) : # get outer bag color i = 0 ( i, bag _ adj ) = get _ next _ word ( i, line ) i = i + 1 ( i, bag _ color ) = get _ next _ word ( i, line ) bag = bag _ adj + " " + bag _ color self. outer _ bag = bag i = i + 1 # eat " bags contain " ( i, _ ) = get _ next _ word ( i, line ) i = i + 1 ( i,...
[ 0.1625671684741974, -0.26731589436531067, 1.0743721723556519, 0.21225357055664062, -0.6525076627731323, -0.1709219068288803, 0.5601332187652588, -0.33551329374313354, -0.767989456653595, -0.4716438353061676, -0.615058958530426, -0.2788894772529602, -0.11251668632030487, 0.3656862676143646,...
def _ _ repr _ _ ( self ) : return ( " { } { } / { } ". format ( self. tire _ type, self. width, self. ratio ) + " { } { } ". format ( self. construction, self. diameter ) )
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def get _ table _ download _ link ( df, name ) : csv = df. to _ csv ( index = false ) b64 = base64. b64encode ( csv. encode ( ) ). decode ( ) # some strings < - > bytes conversions necessary here # href = f'< a href = " data : file / csv ; base64, { b64 } " > download csv file < / a >'href = f'< a href = " data : file ...
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def render ( ) : global masked _ frame, image ret, frame = camera. read ( ) frame = cv2. cvtcolor ( frame, cv2. color _ bgr2rgb ) mask, masked _ frame = apply _ mask ( frame = frame, r = selected _ color [ 0 ] [ 0 ] [ 2 ], g = selected _ color [ 0 ] [ 0 ] [ 1 ], b = selected _ color [ 0 ] [ 0 ] [ 0 ], negdh = cv2. gett...
[ 0.2269740104675293, -0.05149662122130394, 1.0061161518096924, 0.4382392466068268, 0.17117196321487427, -0.42222169041633606, 0.5237680077552795, -0.8364484906196594, -0.5205609798431396, 0.6158086061477661, 0.3204377293586731, 0.8564780354499817, -0.07768595218658447, 0.47628968954086304, ...
def sm _ flavor _ get _ all ( context ) : return impl. sm _ flavor _ get _ all ( context )
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def rgb _ to _ hue ( red : float, green : float, blue : float ) - > int : color = round ( rgb _ to _ hls ( red, green, blue ) [ 0 ] * 360 * 182 ) return color
[ -0.039287712424993515, -0.07639524340629578, 0.5527562499046326, -0.12141275405883789, 0.11703990399837494, 0.6957240700721741, -0.7614250779151917, -0.9697805643081665, -1.3952693939208984, 0.48790544271469116, -0.16375024616718292, 0.3827551305294037, -0.5064681768417358, -0.889706313610...
def intersect _ aabb ( self, aabb ) : # check for aabb collision maxx = max ( self. p1. x, self. p2. x, self. p3. x ) if aabb [ " maxx " ] < minx return false minx = min ( self. p1. x, self. p2. x, self. p3. x ) if aabb [ " minx " ] > maxx return false maxy = max ( self. p1. y, self. p2. y, self. p3. y ) if aabb [ " ma...
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def writetohtml ( self, dataframe, directory, filename ) : filename = directory + filename html _ str = dataframe. to _ html ( ) html _ file = open ( filename,'w') html _ file. write ( html _ str ) html _ file. close ( )
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def fill _ holes ( masks, min _ size = 15 ) : slices = scipy. ndimage. find _ objects ( masks ) i = 0 for sr, sc in slices : msk = masks [ sr, sc ] = = ( i + 1 ) msk = scipy. ndimage. morphology. binary _ fill _ holes ( msk ) sm = np. logical _ and ( msk, ~ skimage. morphology. remove _ small _ objects ( msk, min _ siz...
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def prepare _ networking ( lani = " eth0 ", dockeri = " docker0 ", gateway ='1 ', dns = " 8. 8. 8. 8 " ) : lanip = get _ ip _ range ( lani ) lan = '. '. join ( lanip ) gateway = '. '. join ( lanip [ : - 1 ] + [ gateway ] ) dockerip = get _ ip _ range ( dockeri ) docker = '. '. join ( dockerip ) dockerdns = '. '. join (...
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def set _ scroll ( self, request, pk ) : if not isinstance ( request. data, int ) : raise validationerror ( { " detail " : " data must be an int. " } ) projector _ instance = self. get _ object ( ) projector _ instance. scroll = request. data projector _ instance. save ( ) return response ( { " detail " : " setting scr...
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def compare _ data ( plt _ type, correct, given, special _ comparison = none ) : if special _ comparison is none : def special _ comparison ( left, right ) : return left = = right # infer arguments if plt _ type = ='hist': correct _ xs = none correct _ ys = correct elif not correct : correct _ xs = [ ] correct _ ys = [...
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def _ get _ cap _ service _ name ( self ) - > str : return self. name. value. capitalize ( )
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def estzshiftsgrouping ( sc, regdict, nzshifts = 5, zfwhm = 2. 5, nanthreshold = 200, crop = none, preflag = true, redobestcrop = false, do _ plot = true ) : start = time. time ( ) regdict ['nzshifts'] = nzshifts regdict ['nanthresholdzshiftsgrouping'] = nanthreshold regdict ['zfwhm'] = zfwhm groups = copy. deepcopy ( ...
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def imp ( filename, module _ name = none ) : if module _ name is none : module _ name = pxt. helpers. get _ module _ name ( filename ) spec = importlib. util. spec _ from _ file _ location ( module _ name, filename ) mod = importlib. util. module _ from _ spec ( spec ) spec. loader. exec _ module ( mod ) return mod
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def supports _ snapshot _ lv _ activation ( self ) : if self. _ supports _ snapshot _ lv _ activation is not none : return self. _ supports _ snapshot _ lv _ activation self. _ supports _ snapshot _ lv _ activation = ( self. get _ lvm _ version ( self. _ root _ helper ) > = ( 2, 2, 91 ) ) return self. _ supports _ snap...
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async def test _ set _ pin _ wrong _ chars ( v3 _ server ) : async with aiohttp. clientsession ( ) as session : with pytest. raises ( pinerror ) as err : simplisafe = await get _ api ( test _ email, test _ password, session = session, client _ id = test _ client _ id ) systems = await simplisafe. get _ systems ( ) syst...
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def check _ previous _ tweet ( self ) - > none : tweet _ log = os. path. join ( self. repo _ path, " tweet _ log " ) if not os. path. exists ( tweet _ log ) : previous _ tweet = " " else : with open ( tweet _ log,'r +') as previous _ tweet _ log : previous _ tweet = previous _ tweet _ log. read ( ) tweet = self. logicb...
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def _ tssjs _ 2 _ errorview _ format ( self, errors ) : self. files = { } self. points = { } text = [ self. create _ message ( ) [ 1 ] ] previous _ file ='' line = 0 for e in errors : filename = e ['file']. split ('/') [ - 1 ] if previous _ file! = filename : text. append ( " \ n \ non file : % s \ n " % filename ) lin...
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def test _ solver _ constraints _ with _ simplification _ and _ secrete ( self ) : parameters = [ 3, 3, 3, 3 ] constraints = { ( pair ( 0, 0 ), pair ( 1, 0 ) ), ( pair ( 0, 0 ), pair ( 1, 2 ) ), ( pair ( 0, 1 ), pair ( 3, 0 ) ), ( pair ( 0, 2 ), pair ( 3, 0 ) ), ( pair ( 1, 1 ), pair ( 3, 0 ) ) } solver = solver ( para...
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def _ _ unicode _ _ ( self ) : return _ ( u " test suite { 0 } / { 1 } " ). format ( self. job. id, self. name )
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def finish _ task ( self, jobreports, threads ) :
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def map _ attribute _ to _ seq ( self, attribute : str, key _ attribute : str, value _ attribute : optional [ str ] = none ) - > none : if not self. has _ attribute ( attribute ) : return attr _ node = self. get _ attribute ( attribute ) if not attr _ node. is _ mapping ( ) : return start _ mark = attr _ node. yaml _ n...
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def test _ gaussian _ regression _ outliers ( n _ samples, d, n _ replications, prop _ outliers, corruption _ params, agg _ params, noise _ sd = 0. 5 ) : regrets = [ ] predictors = make _ function _ class _ regression ( ) for i in tqdm ( range ( n _ replications ) ) : x, y = make _ gaussian _ regression ( n _ samples, ...
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def check _ proto _ version ( self ) : packed _ len = pack ( len _ fmt, calcsize ( protover _ fmt ) ) sentbytes = self. _ sendall ( packed _ len ) assert sentbytes = = calcsize ( len _ fmt ) sentbytes = self. _ sendall ( protoversion ) assert sentbytes = = calcsize ( protover _ fmt ) protover _ length = self. _ recvall...
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def datatype _ name ( self ) - > str : return " fixedsize _ array "
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async def wiki _ search ( wiki, text, limit ) : url = _ urlencode ( wiki, action ='cargoautocomplete ', table ='items ', field ='name ', substr = text, limit = limit ) async with aiohttp. clientsession ( ) as session : async with session. get ( url ) as response : if ( response. status! = 200 ) : return none json = awa...
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def get _ instance _ key ( base _ name, revision, zone, instance _ name ) : return ndb. key ( models. instance,'% s % s % s % s'% ( base _ name, revision, zone, instance _ name ) )
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def extract _ item ( layercake, edit _ id ) : parsed = fromstring ( layercake ) return parsed. find ( ". / / div [ @ id ='% s'] " % ( edit _ id, ) )
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def set _ length ( self, value ) : self. length = value
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def makeaveragepslocalfigure ( averagepslocal, figurefilename, gridsize ) : pylab. figure ( ) for i in range ( gridsize [ 0 ] ) : for j in range ( gridsize [ 1 ] ) : pylab. subplot ( gridsize [ 0 ], gridsize [ 1 ], i * gridsize [ 1 ] + j + 1 ) pylab. imshow ( np. log ( averagepslocal [ i, j ] ), cmap = " gray " ) pylab...
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def image _ aspect _ ratio ( self, image _ index ) : # pil is fast for metadata image = image. open ( self. image _ path ( image _ index ) ) return float ( image. width ) / float ( image. height )
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def reservation _ rollback ( context, reservations ) : return impl. reservation _ rollback ( context, reservations )
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def mp ( amounts ) : from projecteulertoolkit. formula import fac s, p = 0, 1 for v in amounts : s + = v p * = fac ( v ) return fac ( s ) / / p
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def full _ metric _ evaluation ( a, f, upper _ forecast, lower _ forecast, df _ train, prediction _ interval, columns = none, scaler = none, return _ components = false, * * kwargs, ) : # this is used in amfm so try to modify without changing inputs and outputs # arrays are faster for math than pandas dataframes a = np...
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def _ _ init _ _ ( self, pos, transform = false, comment = false ) : self. init ( ) self. pos = vec ( pos ) self. point _ type ='ignore'self. transform = transform self. obtype = " point " self. control = true self. comment = comment
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def base _ size ( self ) - > int : return ( self. size - sum ( txi. size for txi in self. _ inputs ) - sum ( txo. size for txo in self. _ outputs ) )
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def max _ 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 (...
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def winbio _ winbioverify ( jitter ) : ret _ ad, args = jitter. func _ args _ stdcall ( [ " sessionhandle ", " identity ", " subfactor ", " unitid ", " match ", " rejectdetail " ] ) raise runtimeerror ('api not implemented') jitter. func _ ret _ stdcall ( ret _ ad, ret _ value )
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def phase _ space ( system, param, vect _ ic, vect _ t, integrator = rk4, xmodulo = none, pmodulo = none ) : n _ ic = len ( vect _ ic ) n _ t = len ( vect _ t ) # computing the trajectories, solutions of the diff. eq. ( de ) for each ic progression = 0 xtot, ptot = zeros ( ( n _ ic, n _ t ) ), zeros ( ( n _ ic, n _ t )...
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