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def bundletype ( self ) : return b'zstd ', b'zs '
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def c2k ( c ) : return _ np. asanyarray ( c ) + zero _ celsius
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def get _ match _ results ( matches ) : matches _ outcome _ array = [ ] home _ goals = matches ['home _ team _ goal']. to _ numpy ( ) away _ goals = matches ['away _ team _ goal']. to _ numpy ( ) for pos in range ( len ( home _ goals ) ) : if home _ goals [ pos ] > away _ goals [ pos ] : matches _ outcome _ array. appe...
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def headerreceived ( self, line ) : nameval = line. split (': ', 1 ) if len ( nameval )! = 2 : raise badresponseerror, " no':'in header. " name, val = nameval val = val. lstrip ('\ t') self. inheaders [ name ] = val
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def build _ pose _ optimizer ( cfg, model ) - > torch. optim. optimizer : norm _ module _ types = ( torch. nn. batchnorm1d, torch. nn. batchnorm2d, torch. nn. batchnorm3d, torch. nn. syncbatchnorm, # naivesyncbatchnorm inherits from batchnorm2d torch. nn. groupnorm, torch. nn. instancenorm1d, torch. nn. instancenorm2d,...
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def consider _ event ( activity _ id, event _ id ) : # user login required if'username'not in flask. session : response = flask. make _ response ( json. dumps ('user login required'), 401 ) response. headers ['content - type'] ='application / json'return response try : with db _ session ( ) as db : user _ attending = d...
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def test _ missing _ objective ( self ) : # validate a form with a missing ` ` objective ` ` value form = self. form _ data ( deadline _ 1 = " 2020 - 06 - 22 ", objective _ 1 = " ", ) errors = form. errors [ 0 ] [ " objective " ]. as _ data ( ) self. assertequal ( len ( errors ), 1 ) self. assertequal ( errors [ 0 ]. c...
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def put _ char ( self, char, y = none, x = none, insert = true ) : if y is none : y = self. cursor _ y if x is none : x = self. cursor _ x if 0 < = y < self. height and self. cursor _ y + self. top _ line < len ( self. textlist ) and 0 < = x < self. width : self. textlist [ self. cursor _ y + self. top _ line ] = self....
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def vnfs _ from _ nsd ( nsd ) : vnfs = [ ] for vnf in nsd [ " vnfs " ] : vnfs. append ( vnf _ to _ internal ( vnf ) ) return vnfs
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def log _ report ( predictions, y _ test ) : target _ names = ['claim ','majorclaim ','none ','premise'] logging. info ('\ nclassification report') logging. info ( classification _ report ( y _ test, predictions, digits = 3, target _ names = target _ names ) ) logging. info ('macro metrics : { } '. format ( precision _...
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def clear _ session _ after _ test ( ) : yield if k. backend ( ) = ='tensorflow'or k. backend ( ) = ='cntk': k. clear _ session ( )
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def test _ post _ slow _ score ( self, test _ client, login _ response ) : quote _ id = " " while quote _ id! = " ea9d502e - a9b6 - 4d67 - ab35 - 5cae050af38b " : quote _ id = json. loads ( test _ client. get ( " / quote " ). data. decode ( " utf - 8 " ) ) [ " quote _ id " ] highscore _ response = test _ client. post (...
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def _ get _ available _ course _ modules ( dept _ modules, course _ id, query _ params ) : modules = get _ cache ( " crscompmodules " ) modules = get _ cache ( " crsavailmodules " ) for available in modules. objects \. filter ( courseid = course _ id, setid = _ setid ) \. only ('moduleid') : for module in get _ cache (...
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def back ( self ) : self. ptr = self. ptr. parent
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def uniform _ to _ cell ( zs, low _ corner, high _ corner, eps = 1e - 4 ) : zs = zs * ( 1 - eps ) + 0. 5 * eps low _ corner _ array = np. array ( low _ corner ) high _ corner _ array = np. array ( high _ corner ) side _ lengths = high _ corner _ array - low _ corner _ array shifted _ cell _ points = ( zs * side _ lengt...
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def calculate _ gradient ( y, tx, w, pred ) : gradient = tx. t. dot ( pred - y ) print gradient. shape return gradient
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def suggest _ nn2 ( df, model, vectorizer ) : string _ input = keras. input ( shape = ( 1, ), dtype = " string " ) x = vectorizer ( string _ input ) preds = model ( x ) end _ to _ end _ model = keras. model ( string _ input, preds ) probabilities = end _ to _ end _ model. predict ( df [ " ptext " ] ) predictions = [ 1 ...
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def test _ patch _ survey _ package _ instance _ failure ( self, client, all _ survey _ package _ instances ) : package = client. single _ survey _ package _ instance ( " 23b4fd48 - ba41 - 4c9b - baef - d5c3dd5f8e5c " ) old _ status = package [ " locked " ] target _ status = not old _ status fake _ id = " 23b4fd48 - ba...
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def set _ agnocomplete ( self, klass _ or _ instance, user ) : # if string, use register to fetch the class if isinstance ( klass _ or _ instance, str ) : registry = get _ agnocomplete _ registry ( ) if klass _ or _ instance not in registry : raise unregisteredagnocompleteexception ( " unregistered agnocomplete class :...
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def fill ( self, value ) : current _ date = self. read ( ) if current _ date and value. date ( ) = = current _ date. date ( ) : return false if not self. readonly : date = datetime. strftime ( value, self. strptime _ format ) self. textbox. fill ( date ) self. date _ pick. _ elements [ self. date _ pick. active ]. clic...
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def build _ optimizer ( model : nn. module, args : trainargs ) - > optimizer : params = [ {'params': model. parameters ( ),'lr': args. init _ lr,'weight _ decay': 0 } ] return adam ( params )
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def compute _ player _ ranks ( self ) - > none : self. level _ ranks, self. player _ ranks = compute _ ranks ( self. levels, self. solvers ) self. rank _ gen _ time = time. time _ ns ( ) with open _ and _ swap ( os. path. join ( self. dataset, " ranks. json " ), " w " ) as franks : json. dump ( { " level _ ranks " : se...
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def new _ game ( ) : global deck global exposed global state global turns # builds deck deck = range ( deck _ size / 2 ) + range ( deck _ size / 2 ) # and shuffles random. shuffle ( deck ) # every card starts hidden exposed = [ false ] * deck _ size state = 0 turns = 0 label. set _ text ( " turns = " + str ( turns ) )
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def find _ parse _ metadata ( infile, annotations = false ) : # handle pathlib. path astrdict = none infile = str ( infile ) if infile. endswith ( '. safe') : mstr = metafile. read _ manifest _ safe ( infile ) if annotations : astrdict = metafile. read _ annotations _ safe ( infile ) elif infile. endswith ( '. zip') : ...
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def filter _ by _ z ( network, inds, z = 1 ) : inds = np. array ( inds ) coordination = find _ coordination ( network ) hits = coordination = = z inds = inds [ hits [ inds ] ] return inds
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def version _ pid ( self, version _ pid ) : self. _ version _ pid = version _ pid
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def notify ( uniqueid, message ) : _ _ mqttc _ _. publish ( os. environ. get ('mqtt _ topic ','dimmers / { }'). format ( uniqueid ), message )
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def _ _ eq _ _ ( self, other ) : if not isinstance ( other, pageloadresponse ) : return false return self. _ _ dict _ _ = = other. _ _ dict _ _
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def clean ( self, value ) : if not self. create : # no new value can be created, use the regular clean field return super ( ). clean ( value ) # we have to do this here before the call to " super ". # it'll be called again, but we can't find a way to " pre _ clean " the # field value before pushing it into the parent c...
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def banded ( aa, va, up, down ) : # copy the inputs and determine the size of the system a = np. copy ( aa ) # create copies using numpy v = np. copy ( va ) n = len ( v ) # gaussian elimination ( gaussian - jordan gaussian jordan ) for m in range ( n ) : # normalization factor div = a [ up, m ] # update the vector firs...
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def listallcontacts ( self ) : feed = self. gd _ client. getcontacts ( ) self. printpaginatedfeed ( feed, self. printcontactsfeed )
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def test _ addobservers ( self ) : originalcount = len ( self. _ getobservers ( ) ) self. runner. run ( self. test ) newcount = len ( self. _ getobservers ( ) ) self. assertequal ( newcount, originalcount )
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def save ( self, filepath, with _ stats = true ) : self. _ verify _ played _ status ( error _ on = false ) saved = { " game " : self, " teams " : { " home " : self. _ teams ['home'], " away " : self. _ teams ['away'] }, " winner " : " home " if self. _ teams ['home'] is self. _ stats ['winner'] else " away ", " score "...
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def test _ multiple _ instance ( self ) - > none : id _ gen _ 1 = self. _ create _ id _ generator ( " first ", writers = [ " first ", " second " ] ) id _ gen _ 2 = self. _ create _ id _ generator ( " second ", writers = [ " first ", " second " ] ) async def _ get _ next _ async ( ) - > none : async with id _ gen _ 1. g...
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def simulate _ gaintable _ from _ pointingtable ( vis, sc, pt, vp, vis _ slices = none, scale = 1. 0, order = 3, use _ radec = false, * * kwargs ) : nant = vis. vis. shape [ 1 ] gaintables = [ create _ gaintable _ from _ blockvisibility ( vis, * * kwargs ) for i in sc ] nchan, npol, ny, nx = vp. data. shape real _ spli...
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def getstaticmap ( layer, extension ='png ', ignore _ cached = false ) : start _ time = time ( ) mimetype, format = layer. gettypebyextension ( extension ) cache = layer. config. cache if not ignore _ cached : # start by checking for a tile in the cache. body = cache. read ( layer, layer. staticmap, format ) tile _ fro...
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def get _ tiff _ page ( tiff _ file, page _ num, out _ dir ) : output _ file = os. path. join ( out _ dir,'obj. tiff') adjusted _ page = page _ num - 1 if os. path. exists ( output _ file ) and os. path. isfile ( output _ file ) and options. overwrite : os. remove ( output _ file ) logger. debug ( " { } exists and we a...
[ 0.3147207200527191, -0.5489665865898132, 0.7704259753227234, 0.4387264549732208, -0.2884148061275482, -0.017530882731080055, 0.5970267653465271, 0.2824346125125885, -0.008529020473361015, 0.8547652959823608, 0.7424893975257874, -0.02349613606929779, -0.3238867223262787, 0.1364767849445343,...
def handle _ starttag ( self, tag, attrs ) : self. path. append ( tag ) attrs = { k : v for k, v in attrs } # pylint : disable = r1721 if tag in self. cur : if isinstance ( self. cur [ tag ], list ) : self. cur [ tag ]. append ( { " _ _ parent _ _ " : self. cur } ) self. cur = self. cur [ tag ] [ - 1 ] else : self. cur...
[ -0.29238489270210266, -0.827195405960083, 0.6785666346549988, -0.7104647159576416, -0.3126652240753174, -0.591158390045166, 0.36317384243011475, 0.8030256628990173, -0.2062274068593979, -0.5974892377853394, 0.03287557512521744, 0.05509063974022865, 0.2513672411441803, 0.7163382768630981, ...
def transform ( self, x, y = none ) : check _ is _ fitted ( self,'_ coverers') xt = check _ array ( x, ensure _ 2d = false ) # reshape filter function values derived from functiontransformer if xt. ndim = = 1 : xt = xt [ :, none ] n _ features _ fit = self. _ n _ features _ fit n _ features = xt. shape [ 1 ] if n _ fea...
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def poly _ area ( p ) : # close the polygon if not p [ 0 ] [ 0 ] = = p [ - 1 ] [ 0 ] and p [ 0 ] [ 1 ] = = p [ - 1 ] [ 1 ] : p. append ( p [ 0 ] ) try : p = p. tolist ( ) except exception : pass def segments ( p ) : return zip ( p, p [ 1 : ] + [ p [ 0 ] ] ) return 0. 5 * abs ( sum ( x0 * y1 - x1 * y0 for ( ( x0, y0 ), ...
[ -0.3014870285987854, -1.3320879936218262, 0.7881357669830322, 0.3803841471672058, -0.18406212329864502, 0.42203596234321594, 0.5840775966644287, -0.04806573688983917, 1.344377040863037, 0.4320937693119049, 0.09054067730903625, -0.4440821707248688, -0.7513821721076965, -0.18464499711990356,...
def binned _ phase _ plot ( prop, snaps, bin _ nums = 200, labels = none, color _ map = config. base _ cmap, foutname ='phase _ plot. png') : fig, axes, dims = plt _ set. setup _ figure ( len ( snaps ), sharey ='row') for i, snap in enumerate ( snaps ) : # set up for each plot axis = axes [ i ] plt _ set. setup _ axis ...
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def dust _ data _ vs _ time ( params, data _ objs, stat ='median ', subsample ='all ', foutname ='dust _ data _ vs _ time. png ', labels = none, style ='color - linestyle ', redshift = false, outside _ legend = false ) : # get plot stylization linewidths, colors, linestyles = plt _ set. setup _ plot _ style ( len ( dat...
[ 0.7668516039848328, 0.24266919493675232, 0.7644681930541992, 0.26835352182388306, 0.08113619685173035, 0.6993768215179443, 0.31570953130722046, -0.16317757964134216, -0.12661001086235046, -0.034726452082395554, -0.213018536567688, 1.102851390838623, 0.488185852766037, 1.2417290210723877, ...
def spark _ describe _ 1d ( config : settings, series : dataframe, summarizer : basesummarizer, typeset : visionstypeset, ) - > dict : # make sure pd. na is not in the series series = series. fillna ( np. nan ) # get ` infer _ dtypes ` ( bool ) from config if config. infer _ dtypes : # infer variable types vtype = type...
[ -0.6366477012634277, 0.6177491545677185, 0.5448079109191895, -0.5134368538856506, -0.38794633746147156, -0.9238565564155579, -0.18987803161144257, -0.3945823609828949, 0.2525993585586548, 0.02341620810329914, 0.09902413934469223, 1.2912449836730957, 0.5266770720481873, 0.8422774076461792, ...
def test _ get _ next _ txn ( self ) - > none : # prefill table with 7 rows written by'master'self. _ insert _ rows ( " master ", 7 ) id _ gen = self. _ create _ id _ generator ( ) self. assertequal ( id _ gen. get _ positions ( ), { " master " : 7 } ) self. assertequal ( id _ gen. get _ current _ token _ for _ writer ...
[ -0.25987446308135986, 0.6635192036628723, 0.6822839975357056, -0.2057235985994339, 0.18802550435066223, -0.7768009305000305, 0.46965718269348145, -0.24782352149486542, 0.21983081102371216, -0.6534562110900879, -0.6322312355041504, -0.8095026612281799, 0.09936252236366272, -0.13785915076732...
def undefine ( self, name ) : if name not in self. scopes [ - 1 ] : raise preprocessexception ( f'cannot undefine " { name } " ; it does not exist in the current scope. ', self. l ) del self. scopes [ - 1 ] [ name ]
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def data ( self ) : return self ['data']
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def on _ delete _ clicked ( self ) : # todo : not implemented yet def testconnection ( ip, port, service _ name ) : url _ origin = u'http : / /'+ ip + u':'+ port + u'/ ws - gateway / gateway / ws /'+ service _ name + '? wsdl'url = str ( url _ origin ) auth = httpauthenticated ( username ='administrator ', password ='qu...
[ -0.3216426372528076, -0.16773062944412231, 0.7311840653419495, -0.41778817772865295, -0.7070749998092651, -0.25742945075035095, 0.6701267957687378, -0.6885513663291931, 0.1998254805803299, -0.07270051538944244, 0.2958393096923828, 0.25756171345710754, -1.010789394378662, 0.5492503643035889...
def init ( self, * args ) : return _ stepap209. stepap209 _ construct _ init ( self, * args )
[ -0.9107444286346436, -1.1074289083480835, 0.3084929883480072, 0.29381880164146423, -0.33780163526535034, -0.05517788603901863, 0.9771504402160645, 0.7864699363708496, -0.47292065620422363, -1.439871072769165, -0.5458353757858276, -0.2885819375514984, 0.27022725343704224, 0.4683308601379394...
def data _ disks ( self ) - > pulumi. output [ optional [ sequence ['outputs. launchtemplatedatadisk'] ] ] : return pulumi. get ( self, " data _ disks " )
[ -0.1771945357322693, 0.45971599221229553, 0.5412974953651428, 0.11224833875894547, 0.7502989172935486, 0.4601203203201294, -0.2101869136095047, 0.35064923763275146, 0.6677751541137695, -0.6923255920410156, -1.0722407102584839, 0.8241989612579346, 0.8412859439849854, -0.28749439120292664, ...
def did _ save ( ls, params : didsavetextdocumentparams ) : config. setup ( ls ) if config. not _ frappe ( ) : return send _ diagnostics ( ls, params ) config. update _ doctype _ intellisense ( params )
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async def put _ missing _ discriminator ( self, complex _ body : " models. salmon ", * * kwargs ) - > " models. salmon " : cls = kwargs. pop ('cls ', none ) # type : clstype [ " models. salmon " ] error _ map = { 404 : resourcenotfounderror, 409 : resourceexistserror } error _ map. update ( kwargs. pop ('error _ map ',...
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def addchild ( self, child ) : self. children. append ( child )
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def expansion _ coefficients ( self, f ) : # according to http : / / mathworld. wolfram. com / chebyshev - gaussquadrature. html the expansion # coefficients are obtained by chebyshev gauss quadrature for the integral # # / + 1 2 - 1 / 2 # a = 2 / pi | dx ( 1 - x ) f ( x ) t ( x ) # i / - 1 i # n # = 2 / pi sum w f ( x...
[ 0.2761745750904083, 0.12352392822504044, 0.7961578965187073, -0.15420642495155334, -0.8671889901161194, -0.4126136302947998, -0.15958145260810852, 0.4992218017578125, 0.40146979689598083, 0.6572168469429016, -0.06724144518375397, -1.0817269086837769, 0.08416642248630524, -0.069019444286823...
def _ get _ nitro _ response ( self, service, response ) : try : result = service. payload _ formatter. string _ to _ resource ( nsacl6 _ response, response, self. _ _ class _ _. _ _ name _ _. replace ('_ stats ','' ) ) if ( result. errorcode! = 0 ) : if ( result. errorcode = = 444 ) : service. clear _ session ( self )...
[ -0.0008785171085037291, -0.5061017274856567, 0.6011013984680176, -0.4017521142959595, -0.33188313245773315, -1.2473373413085938, 0.1275816112756729, -1.829549789428711, 0.6245315074920654, -0.2199425846338272, 0.2471505105495453, -0.5239076614379883, -0.578205406665802, -0.6184499859809875...
def _ remove _ gaps ( df ) : logging. info ('removing gaps in scores') g = df. groupby ('subjectid') return g. apply ( _ remove _ gaps _ patient ). reset _ index ( drop = true )
[ 0.1052556112408638, 0.11901600658893585, 0.31783440709114075, -0.45578011870384216, -0.27066683769226074, 0.8604483604431152, 1.3475488424301147, 0.21569094061851501, 0.010412640869617462, 0.11029453575611115, 1.5420775413513184, 0.3055926263332367, -0.5356072187423706, -0.1457480341196060...
def simulation _ wrapper ( t, p, question, discard, save ) : print'p is now :'+ str ( p ) cij = izhikevichmodularnetwork ( num _ neurons, num _ modules, num _ excitory _ per _ module, num _ connections _ e _ to _ e, num _ inhibitory ) net = generatenetwork ( cij, num _ excitory _ per _ module, num _ inhibitory, num _ e...
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def tmax2nodes _ op ( self, tmax _ fname ) : mstr = re. compile ( r " (? : (? : [ a - z ] + \ d * \ _ \ d + ) | (? : [ a - z ] + \ d + ) ) \ / [ a - z ] + " ) op _ list = [ ] infile = open ( tmax _ fname ) lines = infile. readlines ( ) for l in lines : mlist = re. findall ( mstr, l ) op _ list. extend ( mlist ) infile....
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def test _ cannot _ cancel _ after _ cancellation _ period ( self ) : event = baker. make _ recipe ('booking. future _ ev') url = reverse ('booking : cancellation _ period _ past ', kwargs = {'event _ slug': event. slug } ) self. client. login ( username = self. user, password = " test " ) resp = self. client. get ( ur...
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def testprepareforexport ( self ) : with apitestcase. usingcloudapi ( ) : base _ collection = ee. imagecollection ( ee. image ( 1 ) ) collection, params = base _ collection. prepare _ for _ export ( {'something':'else'} ) self. assertequal ( base _ collection, collection ) self. assertequal ( {'something':'else'}, para...
[ -0.49200406670570374, 0.3218400478363037, 0.5285930037498474, -0.41796374320983887, 0.8141136765480042, -0.5884939432144165, -0.212037593126297, -0.532095193862915, 0.4569779336452484, -0.11595387756824493, -0.6050690412521362, -0.13214929401874542, 0.2519823908805847, 0.46137118339538574,...
def train ( self, inputs : [ np. array ], targets : [ np. array ], epochs : int, lr : float, momentum : float, decay : float ) - > list : errors = [ ] for epoch in range ( epochs ) : error = 0 for input _, target in zip ( inputs, targets ) : self. _ train _ pattern ( input _, target, lr, momentum, decay ) for input _, ...
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def color ( modifier : str, color : str ) - > _ color : if ( modifier, color ) in _ colors : return _ colors [ ( modifier, color ) ] return _ color ( modifier, color )
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def setup _ camera ( ) : # make the base directory # dir _ util. mkpath ( photo _ dir ) # define physical input variables preview _ button = button ( 14 ) photo _ button = button ( 15 ) camera = picamera ( ) camera. preview _ fullscreen = false prev _ width = int ( size * ratio ) horizontal _ offset = int ( ( screen _ ...
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def disconnect ( self ) : # remove all normal callbacks for name in self. _ disconnectnames : mxs. callbacks. removescripts ( id = _ n ( name ) ) self. _ scenemergefinishedtimer. stop ( ) # undefine the add callback function mxs. cross3daddcallback = none # remove the callback pointer to cross3d mxs. cross3d = none # r...
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def spell _ tokenizer ( text ) : tokens = [ ] corrector = jamspell. tspellcorrector ( ) corrector. loadlangmodel ('model _ en. bin') for word in casual _ tokenize ( rm _ punctuation ( text ), preserve _ case = false, reduce _ len = true, strip _ handles = true ) : if not ( bool ( re. search ( r'\ d ', word ) ) ) : corr...
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def get _ descriptive _ name ( self ) : long _ name = str ( self. year ) +'' + self. make +'' + self. model return long _ name. title ( )
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def initialize _ dock ( ) : # register dock via mac return uuid. getnode ( )
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def update ( self, e =..., * * f ) : # - > none :...
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def genes ( ) : query = request. args. get ('query ','' ) if'|'in query : hgnc _ id = int ( query. split ('| ', 1 ) [ 0 ] ) return redirect ( url _ for ( '. gene ', hgnc _ id = hgnc _ id ) ) gene _ q = store. all _ genes ( ). limit ( 20 ) return dict ( genes = gene _ q )
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def run ( self ) : while true : self. _ check _ events ( ) if self. stats. game _ active : self. target. update _ target ( ) self. ship. update _ ship ( ) self. _ update _ bullets ( ) self. _ update _ display ( )
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def promptoperationshouldcontinue ( self ) : while true : input = raw _ input ( " continue [ y / n ]? " ) if input is'n'or input is'n': return false elif input is'y'or input is'y'or input is'' : return true
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def logout _ view ( request ) : headers = forget ( request ) next _ url = request. route _ url ('login') return httpfound ( location = next _ url, headers = headers )
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def export _ to _ csv ( self, request, queryset ) : # get access to the model meta class. # this usually defined at the end of the model class opt = self. model. _ meta # create content _ disposition, that is to be passed to the response. # here we tell that the response contains a file attachment and the # name of the...
[ -0.5882629752159119, -0.5659207701683044, 0.6249968409538269, 0.25416210293769836, 0.27904805541038513, -0.25210297107696533, 0.3667217195034027, -0.9307425022125244, -0.3244990408420563, -0.06805717200040817, 0.3090674579143524, -0.2669031023979187, 0.5320115089416504, -0.1826253533363342...
def cid _ oldnewsurvival ( self, bootstrap = false, n _ iter = 200 ) : def cid _ cat _ count ( x, mix = true ) : return ( x ['true _ new'] + 1 ). unique ( ). sum ( ) def date _ cat _ count ( x ) : return x. cohortid. drop _ duplicates ( ). shape [ 0 ] def calculate _ percentages ( df ) : mix _ counts = df. \ groupby ( ...
[ 0.3699524998664856, 0.09296255558729172, 0.8552395701408386, 0.00656033493578434, -0.4064564108848572, 0.21968649327754974, 0.27157077193260193, 0.027867775410413742, -0.356101393699646, 0.5910084247589111, 0.3320988714694977, 0.17312529683113098, 0.6146878600120544, 0.2896832227706909, ...
def show _ ind _ plot ( u ) : # plotting the trajectory, let's get the x and y values out! x, y = u [ :, 2 ], u [ :, 3 ] # visualization of the path pyplot. figure ( figsize = ( 8, 6 ) ) pyplot. grid ( true ) pyplot. xlabel ( r'x ', fontsize = 18 ) pyplot. ylabel ( r'y ', fontsize = 18 ) pyplot. title ('glider trajecto...
[ 0.6518957614898682, 1.013806700706482, 0.6124072074890137, -0.3556210398674011, -0.9580367803573608, 0.6546627283096313, 0.859391450881958, 0.8089768886566162, 0.05420520529150963, -0.1476181000471115, 0.25369057059288025, 0.7445049285888672, 0.23671093583106995, 0.03353295475244522, 0.6...
def test _ second ( self ) : where ['record'] = os. getcwd ( )
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def search ( problem, h ) : h = memoize ( h,'h') return best _ first _ graph _ search ( problem, lambda n : n. path _ cost + h ( n ) )
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def blur _ bilateral ( im : np. ndarray, fac : float ) - > np. ndarray : fac = np. interp ( fac, [ 0. 0, 1. 0 ], [ 0. 0, 0. 1 ] ) dim _ max = max ( im. shape [ : 2 ] ) k = max ( 1, int ( fac * dim _ max ) ) k = k if k % 2 else k + 1 radius = k / / 5 # blur = cv2. bilateralfilter ( img, 9, 75, 75 ) im _ dst = cv. bilate...
[ 0.736579418182373, -0.27625399827957153, 0.7015438079833984, 1.0787415504455566, -0.324395090341568, 0.17984363436698914, 1.3131351470947266, -0.9956119060516357, -0.1181347668170929, -0.1433449536561966, 0.4884423613548279, 1.4216264486312866, 0.45444971323013306, -0.2889445722103119, 0...
def _ _ init _ _ ( self, size = 0, position = ( 0, 0 ) ) : self. size = size self. position = position
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def upload _ remote _ file ( request ) : response = apiresponse ( ) response. data = { " status " : " failed " } response. code = 302 if request. method = ='post': # check if the post request has the file part if'file'in request. files : file = request. files ['file'] print ( file. name ) # if user does not select file...
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def make _ app ( ) : application = web. application ( [ ( " / ", runselecthandler ), ( " / metricselect ", metricselecthandler ), ( " / metricresults ", metricresultspagehandler ), ( " / getdata ", datahandler ), ( " / configparams ", configpagehandler ), ( " / summarystats ", statpagehandler ), ( " / allmetricresults ...
[ 0.4306342899799347, -0.49329468607902527, 0.5706005692481995, 0.7383205890655518, -0.39564257860183716, 1.164637804031372, 1.0799353122711182, -0.5501323342323303, 0.17328335344791412, -0.7737314701080322, -0.18357285857200623, -0.13949823379516602, 0.3860657215118408, 0.17798486351966858,...
def _ _ init _ _ ( self ) : self. scheme ='http'self. netloc ='nota. real. netloc'self. apiloc ='nota. real. apiloc'self. imgloc ='nota. real. imgloc '
[ -0.4286821186542511, -1.1990034580230713, 0.23318946361541748, -0.3458250164985657, 0.4052765965461731, 0.05007980763912201, 0.4914536774158478, 0.16156549751758575, 0.38601911067962646, -0.10402348637580872, -0.8675919771194458, -0.23121377825737, 0.9973602294921875, 0.778542697429657, ...
def _ add _ vea ( server _ vea, db _ vio _ server, context, db _ session, dom _ factory ) : msg = ( ras. vif _ get _ msg ('info ','reconcile _ vea _ add _ start') % {'host': db _ vio _ server. get _ host _ name ( ),'vios': db _ vio _ server. lpar _ id,'adpt': server _ vea. name } ) ras. trace ( log, _ _ name _ _, ras. ...
[ -0.14538711309432983, -0.48141294717788696, 0.7465996146202087, -0.27997341752052307, 0.895904004573822, -0.018502095714211464, 0.3564925491809845, 0.6185892820358276, 0.6321292519569397, 0.24916620552539825, -0.14394022524356842, 0.1541011482477188, 0.25489506125450134, 0.5803330540657043...
def start _ response ( self, status, headers, exc _ info = none ) : # noqa : wps238 # " the application may call start _ response more than once, # if and only if the exc _ info argument is provided. " if self. started _ response and not exc _ info : raise runtimeerror ('wsgi start _ response called a second'' time wit...
[ -0.5723017454147339, -1.0254219770431519, 0.4526335299015045, 0.4170524477958679, 0.18104366958141327, -0.6253859400749207, 0.2409932166337967, -0.2929699420928955, -0.02557932585477829, -0.1907370239496231, -0.2523975074291229, -0.3260582983493805, -0.5058717131614685, 0.3110917806625366,...
def setupclass ( cls ) : file _ path = os. path. join ( tests _ dir,'contingencies _ full. xlsx') cls. contingency _ data = testmodule. importcontingencies ( pth = file _ path )
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def binary _ search ( val, vec, exact = true ) : validate _ input ( isinstance ( val, ( float, int ) ), " val must be numeric " ) validate _ input ( isinstance ( vec, list ), " vec msut be a list " ) return binary _ search _ helper ( val, vec, 0, exact )
[ -0.3548746705055237, 0.30203312635421753, 0.5441931486129761, 0.7949340343475342, 0.27098870277404785, 0.7263039946556091, 0.2337108999490738, -0.7186877131462097, -0.8911145925521851, 0.45490485429763794, -0.08194880187511444, 0.6239640116691589, -0.4829622805118561, 0.5367431044578552, ...
def is _ superpanel ( self ) : return self. superpanel
[ 0.33466434478759766, 0.23113831877708435, 0.2847554385662079, 0.8617068529129028, -0.47780391573905945, 0.5818536281585693, -0.2173687070608139, -0.06881018728017807, 0.8803904056549072, -0.5255177021026611, -1.1115031242370605, 0.809943437576294, -1.0982942581176758, 0.16930949687957764, ...
def natural _ sort ( vals ) : all _ str = all ( isinstance ( x, ( str, unicode ) ) for x in vals ) sv = sorted ( vals, key = sortkey _ natural ) if all _ str else sorted ( vals ) return sv
[ -1.097830057144165, 0.19175973534584045, 0.31698569655418396, 0.5119211673736572, -0.791449785232544, -0.17014184594154358, -1.350389838218689, -0.7390711307525635, -1.0951073169708252, -0.1783415824174881, 0.2751704752445221, 0.3255093991756439, -0.53958660364151, 0.8130086660385132, -1...
def minimax ( board ) : if terminal ( board ) : return none else : if player ( board ) = = x : return maxvalue ( board ) [ 1 ] elif player ( board ) = = o : return minvalue ( board ) [ 1 ] raise notimplementederror
[ 0.018853411078453064, -0.35305798053741455, 0.6307960152626038, 0.7527543902397156, -1.1301865577697754, -0.256820410490036, -0.40118443965911865, -0.35878509283065796, 0.6994765996932983, -0.048725105822086334, 0.050125852227211, 0.6799870729446411, -0.18159343302249908, -0.64874804019927...
def toggle ( self, key ) : if self. toggables. has _ key ( key ) : self. toggables [ key ] = not self. toggables [ key ] appuifw. note ( u " toggle % s is not implemented yet! " % key,'error') else : appuifw. note ( u " togglekey % s is not found! " % key,'error')
[ -1.6415389776229858, 0.4492601752281189, 0.5438987612724304, -0.02231026627123356, -0.16312569379806519, 0.3113677501678467, 0.3708498477935791, 0.6483674049377441, 0.0073139481246471405, 1.2772318124771118, -0.15238511562347412, 0.1928505301475525, -1.19594407081604, 1.0351167917251587, ...
def _ _ gettoptendnsserver ( ) : dbc = connection _ handler. getconnection ( ) labels, sizes = [ ], [ ] for server in dbc. gettoptendnsserver ( ) : labels. append ( server [ 0 ] ) sizes. append ( server [ 1 ] ) return labels, sizes
[ -2.009572744369507, 0.1325543373823166, 0.6874293684959412, -1.5005908012390137, 0.18020784854888916, -0.08520076423883438, -0.34818750619888306, -0.09523774683475494, 0.07125990837812424, 0.4886493980884552, -1.265872597694397, 0.4480257034301758, -0.1912962645292282, 0.45098817348480225,...
def getsmalldependencelowgraylevelemphasisfeaturevalue ( self ) : ivector = self. coefficients ['ivector'] jvector = self. coefficients ['jvector'] nz = self. coefficients ['nz'] sdlgle = numpy. sum ( self. p _ gldm / ( ( ivector [ none, :, none ] * * 2 ) * ( jvector [ none, none, : ] * * 2 ) ), ( 1, 2 ) ) / nz return ...
[ 0.4926484227180481, -0.02448277547955513, 0.5387471318244934, -0.5244988799095154, -0.4581364095211029, 0.7021123170852661, 0.757487416267395, -0.15716342628002167, 0.40212732553482056, -0.09119763225317001, -0.16626375913619995, 0.3914237916469574, -0.722250759601593, 0.5454210638999939, ...
def pdf ( self, state1, state2, * * kwargs ) : # calculate difference before to handle custom types ( mean defaults to zero ) # this is required as log pdf coverts arrays to floats likelihood = multivariate _ normal. logpdf ( ( state1. state _ vector - self. function ( state2, * * kwargs ) ). ravel ( ), cov = self. cov...
[ 0.345941960811615, -0.7236376404762268, 0.6064382791519165, 0.05298657715320587, -0.3976101577281952, 0.1417095959186554, -1.0842398405075073, 0.010610749013721943, 0.025429867208003998, 0.01748551055788994, 0.44287362694740295, 0.6669648885726929, 0.2631571292877197, -0.5872031450271606, ...
def start ( self ) : # do nothing if we are already running. if self. running : return # setup event handlers. self. _ setup _ event _ handlers ( ) # update the pipeline. self. update _ pipeline ( ) # call parent method to start the children and set the state. super ( filter, self ). start ( )
[ -0.08708783239126205, -0.29456695914268494, 0.24077630043029785, 0.37265896797180176, 0.44553741812705994, -0.4879523515701294, 0.8812408447265625, 0.3429199159145355, -0.30998319387435913, -0.2212553173303604, -0.40793493390083313, 0.5317818522453308, 0.2613738477230072, 0.208684295415878...
def fromwaves ( cls, waves, unk02 = 0 ) : obj = cls ( unk02 = unk02 ) obj. waves = waves return obj
[ 0.9664722084999084, -0.6199358701705933, 0.38996422290802, 0.12254521995782852, -1.295345425605774, 0.5158290266990662, 0.5912630558013916, -0.43227314949035645, 0.8093190789222717, -0.7395660281181335, -1.06929349899292, -0.3359203338623047, -0.5438544750213623, 1.0639922618865967, -0.6...
def get _ blos _ score ( matrix, a, b ) : a = a. upper ( ) b = b. upper ( ) if a not in matrix or b not in matrix [ a ] : raise invalidpairexception ('[ % s, % s ]'% ( a, b ) ) return int ( matrix [ a ] [ b ] )
[ 0.37306803464889526, -0.32446160912513733, 0.7999491691589355, -0.3255844712257385, -0.7287703156471252, -0.1668865829706192, -0.2220427244901657, -0.9574248194694519, -0.7247233390808105, 0.39010322093963623, 1.1192997694015503, 0.6829204559326172, -0.7273499369621277, -0.6470966339111328...
def _ solve _ search _ problems ( self, iteration _ index, search _ problems ) : # search problems are sorted based on the regions from north - west to south - east in the x - y plane # x - axis : the criterion at index 0 of the projected space criteria # y - axis : the criterion at index 1 of the projected space crite...
[ -0.14545504748821259, -0.11764658987522125, 0.608628511428833, -0.17763495445251465, 0.5790905952453613, 0.8856204748153687, -0.28803592920303345, -0.14823569357395172, -0.010401706211268902, 0.46888047456741333, -0.14864306151866913, -0.6432669758796692, -0.7019189596176147, -0.4565644860...
def _ get _ df _ dys _ and _ dy _ dws ( fn : callable [ [ pytree ], pytree ], params : pytree, _ j _ rules : bool, _ s _ rules : bool, _ fwd : optional [ bool ] ) - > tuple [ pytree, pytree ] : def primals _ out _ and _ pullback ( mode : _ mode ) - > pytree : return _ get _ primals _ out _ and _ pullback ( fn, mode, _ ...
[ -1.0329169034957886, 0.6623718738555908, 0.5705956816673279, -0.23683232069015503, 0.2278362512588501, -0.7596603631973267, 0.4683513641357422, 0.15372058749198914, -0.5417115092277527, -0.7654330730438232, 0.1915135532617569, -0.04960862919688225, 1.0616763830184937, 0.7874419093132019, ...
def parserangednumber ( string ) : try : # 0 - 0 val = int ( string ) return [ val ] except valueerror : if string. startswith ( " [ " ) and string. endswith ( " ] " ) : # range representation r = re. compile ( " \ [ ( [ 0 - 9 ] + ) - ( [ 0 - 9 ] + ) \ ] " ) m = r. search ( string ) if m : first _ number = m. group ( 1...
[ -0.423668771982193, -0.7926788330078125, 0.6918145418167114, 0.3115386664867401, -0.06603063642978668, -0.17178627848625183, 0.7282121181488037, 0.30877432227134705, 0.0894361063838005, -0.5087165832519531, -0.8710225224494934, 0.38909149169921875, -0.8804416060447693, -0.29049620032310486...
def shortcuts _ file ( self ) : return os. path. join ( self. _ user _ config _ directory ( ), " shortcuts. vdf " )
[ 0.9068834185600281, -0.010906368494033813, 0.2741215229034424, 0.6098228096961975, 0.15814334154129028, 0.8269283771514893, 1.1154968738555908, 0.59312504529953, -0.25457364320755005, 0.5193316340446472, 0.7621690630912781, 0.7582919597625732, 0.1967342495918274, -0.6818820238113403, -0....
def test _ profile _ status _ code ( self ) : # user must be logged in. user = user. objects. create _ user ( username ='test _ profile _ user ', password ='password') self. client. login ( username ='test _ profile _ user ', password ='password') response = self. client. get ('/ user _ auth / profile /') user. objects...
[ 0.4078424870967865, -0.11329775303602219, 0.43261823058128357, 1.2721202373504639, 0.7021586894989014, 0.6237508654594421, 0.3858627378940582, 0.2513609528541565, 0.37219130992889404, -0.1727055013179779, -0.7594549655914307, -0.30976396799087524, 0.29225239157676697, -0.3212127089500427, ...