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def gpservice ( request ) : return render ( request,'the _ snowmen _ snowpack _ viewer / gpservice. html')
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def has _ component ( self, component _ class ) : assert isinstance ( component _ class, type ) assert issubclass ( component _ class, component ) return self. _ components. has _ key ( component _ class. unique _ id ( ) )
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def id ( self ) : mversion = mxs. maxversion ( ) [ 0 ] / 1000 sixtyfour ='' if ( mversion > 10 ) : mversion = 2009 + ( mversion - 11 ) # shifted to years at version 11 if ( mxs. is64bitapplication ( ) ) : sixtyfour ='_ 64'return'max % i % s'% ( mversion, sixtyfour )
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def _ spatial _ transform ( self, p, dx, invert = false ) : s = self. map _ config [ " scale " ] # convert dx to map image coordinate system with x as rightward and y as downward dx _ map = torch. stack ( [ ( dx [ :, 1 ] / s ), - ( dx [ :, 0 ] / s ), dx [ :, 2 ] ], dim = 1 ) # anti - clockwise rotation p _ trans = spat...
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def create _ sidebar ( how _ to _ text ) : im = image. open ( ceasiompy _ logo _ path ) st. set _ page _ config ( page _ title = " ceasiompy ", page _ icon = im ) st. sidebar. image ( im ) st. sidebar. markdown ( how _ to _ text )
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def get _ link ( url : str ) - > html : return html ( f " < a href = { url } > { url } < / a > " )
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def _ sample _ her _ transitions ( self ) - > none : # sample goals and get new observations # maybe _ vec _ env = none as we should store unnormalized transitions, # they will be normalized at sampling time observations, next _ observations, actions, rewards = self. _ episode _ storage. sample _ offline ( n _ sampled ...
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def read _ json ( search, latitude, longitude ) : with open ( " json / { }. { }. { }. json ". format ( search, latitude, longitude ), " r " ) as f : return f. readlines ( )
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def get _ urn _ value ( urn, key ) : pairs = urn. split (':') for p in pairs : if p. startswith ( key +'=') : return p. split ('=') [ 1 ] return none
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def progress _ metrics ( self ) - >'outputs. progressmetricsresponse': return pulumi. get ( self, " progress _ metrics " )
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def post ( self ) : data = request. json return insert _ role ( data = data )
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def pull _ funding _ proportionally ( self, amount ) : if amount < = 0 : # we are calling this function with argument 0 return 0 # first, pull funding proportionally from interbank loans. # then if these are exhausted, pull funding proportionally from repo pullfundingactions = self. get _ all _ actions _ of _ type ( pu...
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def simulate _ image _ direct ( mrcf, v, v, defocus, c _ s ) : # read the molecule with mrcfile. open ( mrcf ) as rho _ mrc : rho _ samples = rho _ mrc. data l = rho _ mrc. header. cella. x n = rho _ mrc. data. shape [ 0 ] angpix = l / n assert n = = rho _ samples. shape [ 1 ] and n = = rho _ samples. shape [ 2 ] print...
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def is _ murmur _ ring ( ring ) : for i in ring : if i < 0 : return true return false
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def swag _ validate _ schema ( component _ name ) : return {'tag':'validation ','description':'just checking. ','requestbody': {'description':'input object ','required': true,'content': {'application / json': {'schema': {'$ ref': f'# / components / schemas / { component _ name }'} } } },'responses': {'200': {'descripti...
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def test _ comoving _ vol _ init _ invalid _ cosmology ( comoving _ vol _ converter ) : with pytest. raises ( runtimeerror ) as excinfo : comovingdistanceconverter. _ _ init _ _ ( comoving _ vol _ converter, cosmology = " planck " ) assert " could not get specified cosmology " in str ( excinfo. value )
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def normalize ( string ) : trans _ table = maketrans ( " ", " " ) " create an empty translation table " result = string. translate ( trans _ table, punctuation ) " does no translation, but strips all punctuation " result = result. lower ( ) return result
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def _ _ str _ _ ( self ) : return f'{ self. first _ name } { self. last _ name } '
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def _ _ init _ _ ( self, pathtofiles, stemmer = none, n = 1 ) : self. pathtofiles = pathtofiles self. stemmer = stemmer self. n = n self. ngrams = { } self. iteratethroughfiles ( )
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def apply _ binarization _ params ( self, param _ file, ensure _ balanced = false ) : with open ( param _ file,'rb') as fin : params = pickle. load ( fin ) if params ['type'] = ='zscore': y _ norm = ( self. y - params ['mean'] ) / params ['std'] idx = np. abs ( y _ norm ) > params ['n _ std'] y = ( y _ norm [ idx ] > 0...
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def test _ new _ user ( new _ user ) : assert new _ user. email = ='patkennedy79 @ gmail. com'assert new _ user. password _ hash! ='hsad @ # sfds _ 123qe! @ # @ 1'assert new _ user. check _ password ( " hsad @ # sfds _ 123qe! @ # @ 1 " ) assert not new _ user. is _ anonymous assert new _ user. role = ='user '
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def _ _ init _ _ ( _ _ self _ _, *, daily _ recurrence _ time : optional [ pulumi. input [ str ] ] = none, enabled : optional [ pulumi. input [ bool ] ] = none, location : optional [ pulumi. input [ str ] ] = none, notification _ settings : optional [ pulumi. input ['globalvmshutdownschedulenotificationsettingsargs'] ]...
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def test _ invalid _ manifest _ filepath ( self ) : manifest ( ". / ehiiehaiehnatheita " )
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def http _ tokens ( self ) - > optional [ pulumi. input [ str ] ] : return pulumi. get ( self, " http _ tokens " )
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def _ _ states ( self, dump ) : return [ elem [ 0 ] for elem in dump ]
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def get _ endpoint ( self ) : # backends _ settings = getattr ( settings,'getpaid _ backends _ settings ', { } ) # backends _ settings = backends _ settings. get ('paypal ', { } ) # if self. test _ ipn : # return backends _ settings. get ('sandbox _ postback _ endpoint') # else : # return backends _ settings. get ('pos...
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def rand _ randomobj ( df, col1, col2, outfile, outfile _ start = 0, outfile _ end = 100 ) : nodes _ u = list ( df [ col1 ]. unique ( ) ) nodes _ o = list ( df [ col2 ]. unique ( ) ) num _ o = len ( nodes _ o ) num _ graphs = 0 while num _ graphs < ( outfile _ end - outfile _ start ) : print num _ graphs r = nx. graph ...
[ -0.2834291458129883, 0.3698853552341461, 0.736430287361145, 1.003679871559143, -0.457381933927536, 0.5940287113189697, 1.8573806285858154, -0.20886510610580444, 0.1687518060207367, 0.12215445190668106, -0.6371041536331177, 0.32705923914909363, 0.0979870855808258, -0.5453246831893921, 0.3...
def get _ services _ view ( request ) : return get _ services _ runner ( request )
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def main ( ) : print ( " it works!!! ; - ) " ) # # # todo # # # do something with the various methods / functions of this file
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def shader ( coords, density ) : points = [ ] x _ min = int ( min ( [ x [ 0 ] for x in coords ] ) - 1 ) * density x _ max = int ( max ( [ x [ 0 ] for x in coords ] ) + 1 ) * density y _ min = int ( min ( [ y [ 1 ] for y in coords ] ) - 1 ) * density y _ max = int ( max ( [ y [ 1 ] for y in coords ] ) + 1 ) * density fo...
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def on _ file _ search ( request ) : if request. method = ='post': # get search key data from search form search _ value = request. post. get ('search _ value') print ( " = = = = = = = = = = = = = = = = = = = = = = = = " ) # get all requirements in on _ file status if request. user. has _ perm ('customer. customer _ vi...
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def _ field _ arg _ with _ new _ check _ trigger _ function ( self, outer _ self, * args, * * kwargs ) : trigger = false if self. _ plain _ field _ arg _ check _ trigger _ function ( outer _ self ) : new _ val = outer _ self. get _ new _ value ( self. field ) if new _ val = = self. new : trigger = true return trigger
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def _ hg _ get _ state ( self ) : if self. _ state in self. _ data : return self. _ data [ self. _ state ] return none
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def _ handle _ method _ frame ( self, frame ) : # if we don't have framemethod something is wrong so throw an exception if not isinstance ( frame, method ) : raise exceptions. unexpectedframeerror ( frame ) # if the frame is a content related frame go deal with the content # by getting the content header frame if spec....
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def _ greedy _ match _ objects ( self, z _ sup, z _ sup _ std = none, obj _ appearances = none ) : # scale to 0, 1 z = ( z _ sup + 1 ) / 2 m _ idx = [ 2, 3 ] if obj _ appearances is not none : # colors are already in 0, 1 z = torch. cat ( [ z, obj _ appearances ], - 1 ) if self. c. debug _ match _ appearance : # add co...
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def saved ( ) : try : x, cleanframe = video _ capture. read ( ) new _ image = cv2. cvtcolor ( cleanframe, cv2. color _ bgr2gray ) if image _ name. get ( ) = = " " : messagebox. showerror ('name error ','enter a name first.') else : cv2. imwrite ( f " { os. getcwd ( ) } / faces / { image _ name. get ( ) }. jpg ", new _ ...
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def _ check _ potential _ output _ directory ( self, input _ path : path, candidates : set [ tuple [ str, optional [ str ] ] ], tree : directorytree ) - > set [ tuple [ str, optional [ str ] ] ] : subpaths = { str ( input _ path / path ) for path in tree. get ( input _ path, default = [ ] ) } if not self. _ is _ explic...
[ -0.5779350399971008, -0.7341504096984863, 0.7350696921348572, 0.09646318852901459, -0.6585617661476135, -0.4350624680519104, 0.4293164908885956, -0.06986626237630844, -0.5037071704864502, 0.1757143884897232, 0.2669776976108551, 0.22277860343456268, -0.4026649594306946, 0.6931774020195007, ...
def test _ arange _ with _ floats ( self ) : def test _ f ( dummy ) : return torch. arange ( dummy. size ( 0 ), 30. 5, 0. 8 ) dummy = torch. randn ( 10 ) jitvsglow ( test _ f, dummy, expected _ fused _ ops = { " aten : : arange " } )
[ 0.4551631510257721, 1.1440199613571167, 0.48124873638153076, 0.44011542201042175, 0.40067896246910095, 0.1898372918367386, 0.2826693654060364, -0.7077465057373047, 0.09446072578430176, -0.12024480849504471, 0.021458681672811508, 0.29120364785194397, 0.4359668791294098, 0.800736129283905, ...
def trustymail ( domain _ name, timeout = 30, smtp _ timeout = 5, smtp _ localhost = none, smtp _ ports = none, scan _ types = none, dns _ hostnames = none ) : # boto3 client for lambda lambda _ client = boto3 _ client ('lambda ', region _ name = awsregionname ) # the payload for the lambda function payload = {'domain ...
[ -0.4627780616283417, 0.7444887757301331, 0.8645221590995789, -0.8615934252738953, -0.4649881422519684, -0.1912679374217987, -0.3922756314277649, -0.31534233689308167, -0.17142486572265625, 1.319860816001892, -0.9092774391174316, 1.4053409099578857, 0.008917107246816158, -0.6067284941673279...
def getimpresp ( ) : # open impulse file and determine which fault vertices were used. impulses = h5py. file ( impulsefile, " r ", driver = " sec2 " ) impc = impulses ['geometry / vertices'] [ : ] impv = impulses ['vertex _ fields / slip'] [ :, :, 0 ] impinds = numpy. nonzero ( impv! = 0. 0 ) impcused = impc [ impinds ...
[ 0.36725378036499023, -0.00830196775496006, 0.7483228445053101, -0.7073429226875305, -0.14889740943908691, -0.10362376272678375, 0.9960212111473083, -0.602781355381012, -0.14223159849643707, -0.1216246709227562, -0.8768212199211121, 0.12058968096971512, -0.8294680714607239, -0.7692201137542...
def notification _ settings ( self ) - > pulumi. input ['globalvmshutdownschedulenotificationsettingsargs'] : return pulumi. get ( self, " notification _ settings " )
[ -0.13334807753562927, 0.9283055067062378, 0.558357834815979, 1.066128134727478, 0.8046432137489319, 0.5777435302734375, 0.5779212713241577, 0.319985032081604, 0.10373720526695251, 1.18915855884552, -0.5232049822807312, 0.2686721384525299, -0.09047138690948486, -0.644600510597229, -0.7177...
def get _ subjects ( request ) : if _ is _ certificate _ provided ( request ) : try : return get _ authenticated _ subjects ( request. meta [ " ssl _ client _ cert " ] ) except exception as e : raise d1 _ common. types. exceptions. invalidtoken ( 0,'error extracting session from certificate. error = " { } " '. format (...
[ -0.5389869809150696, 0.6353684067726135, 0.3818783462047577, 0.8383596539497375, -0.3808308243751526, 0.14382275938987732, 0.15031856298446655, -1.3738330602645874, 0.10459881275892258, 0.3705708086490631, 0.141497403383255, 0.566401481628418, -0.11320685595273972, -0.609670102596283, -0...
def find _ entity _ by _ id ( self, entity, id ) : cls = entity cls. entity = entity cls. identica = self return cls. find _ by _ id ( id )
[ -0.0016657502856105566, -1.2442457675933838, 0.30815112590789795, 0.28933653235435486, 0.8851737976074219, -0.1940174549818039, -0.11628749966621399, -0.39936837553977966, 0.4855649471282959, 0.2533544600009918, 0.3251070976257324, 0.30245938897132874, 0.08130920678377151, 0.70792341232299...
def make _ qs ( n, m = none ) : try : import sympy except importerror : raise importerror ( " this function requires sympy. please install it. " ) if m is none : syms = sympy. symbols ( " ". join ( f " q { i } " for i in range ( n ) ) ) if isinstance ( syms, tuple ) : return syms else : return ( syms, ) syms = sympy. s...
[ -0.4285045564174652, 0.5109205842018127, 0.29435238242149353, -0.5902007818222046, -0.27053362131118774, -0.3084166646003723, -0.2122803032398224, -0.5875478982925415, -0.045711781829595566, -0.11477256566286087, -0.3351685702800751, -0.22428767383098602, -0.21887104213237762, -0.273808807...
def cdf ( self, k ) : if type ( k )! = int : k = int ( k ) if k < 0 : return 0 cdf = 0 for i in range ( 0, k + 1 ) : cdf = cdf + self. pmf ( i ) return cdf
[ -0.0005066432640887797, 0.578748345375061, 0.6075851917266846, 0.08317635208368301, -0.7573637962341309, 0.3455037772655487, 0.5727759003639221, 0.6944735050201416, 0.43723517656326294, -0.2759222984313965, -0.3782353103160858, -0.941204309463501, -1.126301884651184, 0.9451106786727905, ...
def virtual _ machine _ id ( self ) - > optional [ pulumi. input [ str ] ] : return pulumi. get ( self, " virtual _ machine _ id " )
[ 1.05984628200531, 0.07143662869930267, 0.134482279419899, 0.6628143191337585, 1.0804606676101685, 1.5170456171035767, -0.3113591969013214, 0.2589412331581116, 1.359727382659912, 0.15266728401184082, 0.40467363595962524, 1.2599303722381592, -0.68015456199646, -0.6809142231941223, -0.61083...
def test _ has _ conversion ( ) : assert distanceconverter. has _ conversion is false assert nulldistanceconverter. has _ conversion is false assert powerlawconverter. has _ conversion is true assert comovingdistanceconverter. has _ conversion is true
[ -0.04205717518925667, -0.31455180048942566, 0.5990111827850342, 0.4028359651565552, 0.8772462606430054, 0.7805008888244629, -0.21658700704574585, 0.5601709485054016, -0.2156037837266922, 0.16886545717716217, -1.2787542343139648, -1.5143249034881592, 0.375600129365921, 1.257831335067749, ...
def checklist ( self ) : # merge all trello checklists into a single list checklist = [ ] # unfortunately the py - trello lazy checklist load only works if all # card data is fetched first. self. _ _ card. fetch ( ) if self. _ _ card. checklists : for cl in self. _ _ card. checklists : for i in cl. items : checklist. a...
[ -0.5541419982910156, -0.38443461060523987, 0.2835443317890167, 0.6543083786964417, 0.22325211763381958, 0.8584322929382324, -0.4926791191101074, 0.4374047517776489, 0.36595675349235535, 0.29002541303634644, -1.5657347440719604, -0.41591352224349976, -0.15778109431266785, 0.3747226595878601...
def _ _ str _ _ ( self ) : # check fixed domain if ( len ( self ) = = 1 ) and not isinstance ( self [ 0 ], ( tuple, list ) ) : return str ( self [ 0 ] ) cout = [ " { " ] for i, d in enumerate ( self ) : if i > 0 : cout. append ( ", " ) if isinstance ( d, ( list, tuple ) ) : cout. append ( str ( d [ 0 ] ) + ".. " + str ...
[ -0.659022867679596, -0.4223257899284363, 1.1192909479141235, 0.03419150039553642, -0.3845546841621399, 0.5680499076843262, 0.007911150343716145, -0.11171571910381317, 0.029783375561237335, -0.35569173097610474, 0.8211813569068909, 0.527691125869751, -0.44001880288124084, -0.161269202828407...
def solvenormal ( self ) : n = len ( self. trials [ 0 ] [ 0 ] ) mean0 = np. zeros ( n ) mean1 = np. zeros ( n ) mean2 = np. zeros ( n ) cov0 = np. zeros ( ( n, n ) ) cov = np. zeros ( ( 2 * n, 2 * n ) ) num = 0 for trial in self. trials : mean0 + = trial [ 0 ] for ( xi, xn ) in zip ( trial [ : - 1 ], trial [ 1 : ] ) : ...
[ 0.13339649140834808, -0.11711491644382477, 1.0085480213165283, -0.1489979475736618, 0.3628089725971222, 0.32659050822257996, 0.16086390614509583, 0.4186258614063263, 0.2174174040555954, 0.8666903376579285, -0.5778979659080505, 0.30459126830101013, 0.013735070824623108, -0.09840680658817291...
def addchild ( self, childnode ) : self. children. append ( childnode ) if self. depth > 0 : if self. depth = = 2 : childnode. label = self. label + treenode. _ _ charpos ( childnode. task. position ) + ". " else : childnode. label = self. label + str ( childnode. task. position ) + ". "
[ -0.0962907150387764, -0.4514033794403076, 0.966853678226471, -0.3458724021911621, -0.45644664764404297, 1.4259414672851562, -0.2922849953174591, 0.08288689702749252, -0.36275896430015564, 0.11138834804296494, -0.8694748282432556, -0.08145782351493835, 0.24493329226970673, 0.040024701505899...
def get _ donation _ amount ( self, donor ) : donation = self. feedback ( f " type amount to donate ( or type'quit') : " ). lower ( ) if donor in self. collection. donors : gifts = len ( self. collection. donors [ donor ]. donations ) else : gifts = 0 try : donation = float ( donation ) except valueerror : print ( f "'...
[ 0.03894219547510147, 0.5874219536781311, 0.8763386607170105, -0.1376015692949295, -0.128262460231781, 0.20034462213516235, 1.0960835218429565, -1.2047635316848755, 0.49891969561576843, -0.23482415080070496, 0.2931354343891144, 0.670983612537384, 0.1985132098197937, 0.8422860503196716, 0....
def _ _ init _ _ ( self, ortho = 1, l1 _ reg _ factor = 0, add _ intersect = true, ortho _ method = " avg ", random _ state = 42 ) : self. ortho = ortho self. is _ fit = false self. ortho _ method = ortho _ method self. random _ state = random _ state self. add _ intersect = add _ intersect self. l1 _ reg _ factor = l1...
[ 0.16528300940990448, 0.10018050670623779, 0.5480687618255615, -0.04850062355399132, 0.3831198513507843, 0.47646674513816833, 0.9151750206947327, 0.3302358090877533, 0.25463205575942993, 0.1843222975730896, 0.20675240457057953, 0.3197145462036133, 0.5106066465377808, -0.21197392046451569, ...
def compute _ orbit ( r, v, dt, tmax ) : niter = int ( tmax / dt ) coords = np. empty ( ( niter, 3 ) ) for i in range ( 0, niter ) : r + = v * dt # gm = 6. 6743e - 11 * 1. 9885e30 * ( 1 / 1. 4960e11 ) * * 3 * ( 60 * 60 * 24 ) * * 2 = 2. 959e - 4 au ^ 3 / day ^ 2 acc = - 2. 959e - 4 * r / np. sqrt ( np. sum ( r * * 2 ) ...
[ -0.8577325940132141, 0.25347813963890076, 0.5804279446601868, -0.3898504972457886, -0.17013615369796753, -0.04689545929431915, 0.15070153772830963, 0.2327509969472885, 0.11107674986124039, 1.0279357433319092, 0.3553820848464966, -0.4606994092464447, 0.11135466396808624, -0.76630038022995, ...
def _ joinkeypath ( self, path _ segments ) : # this is an optimized way to combine the path segments into a single path # and combine multiple successive path separators to one. # split all the path segments based on the path ( segment ) separator. path _ segments = [ segment. split ( definitions. key _ path _ separat...
[ -0.39158305525779724, -0.26476168632507324, 0.402183473110199, 0.490641713142395, 0.4354024827480316, 0.19294945895671844, -0.36711588501930237, 0.08026350289583206, -0.16311271488666534, 0.5827569365501404, -0.23419103026390076, -1.2959703207015991, -1.0284810066223145, -0.582193076610565...
def downsample ( x, shift, n, j, zero = true ) : if j = = 0 : if shift < 0 : x1 = np. concatenate ( ( x [ - shift * n : ], np. zeros ( n - len ( x [ - shift * n : ] ) ) ) ) else : x1 = np. concatenate ( ( np. zeros ( shift * n ), x ) ) return x1 [ : n ] if shift < = 0 : x1 = x [ - shift * n : ] xhat = np. sqrt ( 2 * * ...
[ -0.09152359515428543, -0.2162647843360901, 1.005178689956665, -0.0025925938971340656, -0.96384197473526, -0.12228428572416306, -0.7109599709510803, -0.37542712688446045, 0.9309281706809998, 0.23349761962890625, 0.44070249795913696, 0.5314638018608093, -0.40252670645713806, 0.66335529088974...
def should _ poll ( self ) : return false
[ -0.65474534034729, 0.4611141085624695, 0.5564540028572083, 0.6797248721122742, 0.010127568617463112, 2.467784881591797, -0.9320839643478394, 0.18320783972740173, 0.20190410315990448, -0.46898946166038513, 0.4489663243293762, -0.8691450953483582, -0.9769643545150757, -0.01590661145746708, ...
def debug ( * args, * * kwars ) : if debuging : print ( " [ debug ] : ", * args, * * kwars )
[ 0.6916180849075317, 0.2828189730644226, 0.4575905203819275, 0.295356422662735, 0.8825613856315613, 0.11286807060241699, -0.5234391093254089, -0.2834141254425049, -0.0312781035900116, -0.26279744505882263, 0.020860975608229637, 1.1878552436828613, -1.0154266357421875, 0.4994563162326813, ...
def test _ just _ env ( self ) : with settings ( use _ ssh _ config = false ) : with settings ( key _ filename = " mykey " ) : eq _ ( key _ filenames ( ), [ " mykey " ] ) with settings ( key _ filename = [ " foo ", " bar " ] ) : eq _ ( key _ filenames ( ), [ " foo ", " bar " ] )
[ -0.43370723724365234, 0.26145654916763306, 0.49226996302604675, 0.24892181158065796, 0.6421236991882324, 0.8084028363227844, -0.4573330581188202, 0.05166855454444885, -0.7208662629127502, 0.5029030442237854, -0.4509700536727905, 0.4497016966342926, -0.05978234112262726, 1.0331971645355225,...
def _ _ create _ mailing _ label _ report _ data ( self ) : return donor. objects. all ( )
[ -0.2949417233467102, -0.34135910868644714, 0.35497012734413147, -0.7623460292816162, 0.8747808337211609, 1.2747844457626343, -0.9713365435600281, 0.15270356833934784, 0.10529505461454391, -0.07003863900899887, 0.3897208273410797, 0.3438650965690613, -0.17812351882457733, -0.220368817448616...
def serve ( port = 8080, host ='127. 0. 0. 1 ', debug = none, server ='cherrypy') : from. web import run, app if debug = = none : debug = app _ config. is _ debug else : debug = true if debug = ='1'else false if debug : logging. basicconfig ( level = logging. debug ) run ( app, server = server, host = host, port = port...
[ 0.04358494281768799, 0.2778620719909668, 0.7002012133598328, 0.8086100220680237, 0.12307645380496979, 0.3704644441604614, 0.01920437440276146, 0.25601857900619507, -0.7644520998001099, -0.2119140774011612, -0.4508802592754364, 0.47541651129722595, -0.15502610802650452, 1.1891390085220337, ...
def reloaddirectory ( self ) : self. dir = str ( self. ui. dirstring. text ( ) ) self. currentframe = int ( self. ui. input _ singleframe. toplaintext ( ) ) self. state = str ( self. ui. statestring. text ( ) ) self. data = load ( directory = self. dir ) self. processer = post ( ) self. directorychosen = 1 logging. inf...
[ -1.3218315839767456, -0.6042959690093994, 0.4379476010799408, -0.01506394986063242, -0.24414680898189545, -0.46407634019851685, 0.703829824924469, -0.08242621272802353, 0.01245645061135292, -0.6776048541069031, -0.26275986433029175, 1.3801040649414062, -0.0036916378885507584, 0.80847275257...
def vect _ repr ( mu, covmat ) : c = np. stack ( [ covmat [..., 0, 0 ], covmat [..., 0, 1 ], covmat [..., 1, 1 ] ], axis = - 1 ) return np. concatenate ( [ mu, c ], axis = - 1 )
[ -0.1797409951686859, -0.17128555476665497, 0.6095417737960815, -0.7320478558540344, -0.05135557800531387, 0.1588924676179886, 0.10925696790218353, -0.18304304778575897, -0.03282175585627556, 1.1438779830932617, 0.6657667756080627, 0.9306967854499817, 0.025654803961515427, -0.94450622797012...
def predict ( self, seq, cutsite, splice _ acceptor _ site, grna _ orientation ='+') : seq = seq. upper ( ) # = = = = = = = = = = indelphi predict ( p ( p _ i ), for product p _ i ) = = = = = = = = = = indelphi _ offset = cutsite - self. _ indelphi _ cutsite indelphi _ cutsite = self. _ indelphi _ cutsite indelphi _ se...
[ 0.06509190797805786, -0.2829222083091736, 0.5392128825187683, 0.1178802028298378, -0.3150824308395386, -0.25625041127204895, 0.5606178045272827, 0.6943113803863525, 0.35919782519340515, 0.7419509291648865, -0.2557023763656616, 0.8621427416801453, -0.30233705043792725, -0.313763290643692, ...
def is _ connected ( self ) : return self. maestro. _ is _ connected
[ -0.47036436200141907, -0.3884075880050659, 0.4475497305393219, 1.0645227432250977, 0.14117549359798431, -0.096406489610672, -0.8313093781471252, 0.48549842834472656, -0.07481350004673004, 0.26894545555114746, -0.4376750886440277, 0.4211304485797882, -1.0089645385742188, -0.2227695435285568...
def compute _ ggn _ gram _ evals ( model, loss _ func, x, y, param _ groups, computations ) : loss = loss _ func ( model ( x ), y ) with backpack ( * computations. get _ extensions ( param _ groups ), extension _ hook = computations. get _ extension _ hook ( param _ groups, keep _ gram _ mat = false, keep _ gram _ eval...
[ 0.14998158812522888, 0.5080698132514954, 0.7699805498123169, -0.23902496695518494, -0.6302435398101807, -0.1349765956401825, 0.009247655980288982, -0.749186635017395, -0.9102424383163452, 0.8226209878921509, -0.012084254063665867, 0.8990287780761719, 0.40861600637435913, 0.5177447199821472...
def one _ wheel _ movements ( ) : x = speedsettings. speed _ fastest logger. info ( " speed " + str ( x ) ) dmcontroller. stop ( ) time. sleep ( 5 ) logger. info ( " front _ left _ forward " ) dmcontroller. front _ left _ forward ( x ) time. sleep ( 5 ) dmcontroller. stop ( ) logger. info ( " front _ left _ backward " ...
[ -0.19209302961826324, 0.8059931397438049, 0.7157904505729675, -0.487283319234848, 0.8537638187408447, -1.0017802715301514, 0.8016367554664612, -0.7354176640510559, -0.3489968478679657, -0.3127661943435669, -0.8673543334007263, -0.3541918992996216, 0.2787137031555176, 0.7192299962043762, ...
def get ( self ) : timestamp = np. asarray ( self. _ data ['timestamp'] ) value = to _ str ( np. asarray ( self. _ data ['value'] ) ) try : status = self. _ data ['status'] except valueerror : status = none return sensordata ( self. name, timestamp, value, status )
[ -0.07341432571411133, -0.4899809956550598, 0.34256666898727417, -0.7981999516487122, -0.17419248819351196, 0.14575131237506866, -1.353769063949585, -0.6988103985786438, 0.723767101764679, -0.0013473457656800747, -0.0807761400938034, 0.6213424801826477, -0.19023497402668, -0.659275054931640...
def power _ law ( energy, power _ law _ alpha = 2, power _ law _ normalisation = 1e - 10, power _ law _ decorrelation _ energy = 1, * * kwargs ) : # add a power - law component to the hess function, its index and flux at 10 tev return power _ law _ normalisation * \ np. power ( energy / power _ law _ decorrelation _ en...
[ 0.614482581615448, -0.4891115427017212, 0.5302863717079163, -0.4497102200984955, 0.5425152778625488, 0.6093005537986755, -0.8581689596176147, 1.2168935537338257, -0.44634586572647095, 0.6586471796035767, 1.1938238143920898, -0.3441261053085327, 0.13778342306613922, 0.27256977558135986, 1...
def get _ course _ name ( self, soup ) : course _ title = [ ] for title in soup. find _ all ( " td ", class _ = " column - 1 " ) : course _ title. append (''. join ( title. findall ( text = true ) ) ) # course _ title. append ('\ n') for i in range ( len ( course _ title ) ) : course _ title [ i ] = course _ title [ i ...
[ -0.7830379009246826, -0.38791921734809875, 0.8544484972953796, -0.04041219875216484, 0.1144871786236763, -0.216371089220047, -0.8227696418762207, 0.1196124479174614, 0.3926679790019989, 0.7509161829948425, -0.2848374545574188, -0.39418020844459534, 0.8694655895233154, 0.012846971862018108,...
def predict ( self, x ) - > np. ndarray : baserate = self. base. predict ( x ) # predicting with fitted baserate model if self. base _ only : return baserate else : probabilistic _ anoms = self. rf. predict ( x = x ) # [ - 1 to 1 ] predictions = baserate + probabilistic _ anoms # stays a numpy ndarray, necessary for co...
[ -0.737721860408783, -0.4537877142429352, 0.45031458139419556, 0.9572834968566895, -0.05049850791692734, -0.05700167641043663, -0.7276520133018494, -0.7431010603904724, 0.2847162187099457, 0.18991652131080627, 0.06681858003139496, 0.5700474977493286, -0.3966660797595978, 0.21782907843589783...
def generate _ secondary _ diagonal ( space, i, j ) : result = set ( ) def helper ( space, i, j, result ) : if 0 < = i < len ( space ) and 0 < = j < len ( space [ 0 ] ) and ( i, j ) not in result : result. add ( ( i, j ) ) helper ( space, i - 1, j + 1, result ) helper ( space, i + 1, j - 1, result ) helper ( space, i, ...
[ 0.4260006844997406, 0.3628764748573303, 0.6060755848884583, -0.3795788586139679, -0.6494624614715576, -1.4455797672271729, 0.6488523483276367, -0.5925758481025696, 0.06715492159128189, 0.05636303126811981, -1.1359679698944092, 0.79207843542099, -0.4280901849269867, 0.19026575982570648, 0...
def upload ( self, checkpoint _ name, local _ path, description = none, project _ id = none, scope ='private') : if project _ id is none : project _ id = self. project. id # upload artifacts artifacts = self. artifacts. upload ( filepath = local _ path, model _ name = self. model. name, checkpoint _ name ='{ } _ { } '....
[ -0.47695842385292053, -0.028510674834251404, 0.7015109062194824, 0.27509748935699463, 0.31180882453918457, 0.32931649684906006, 0.5898561477661133, -0.08912751078605652, -0.36118263006210327, 0.553021252155304, 0.06989743560552597, 0.2424166202545166, -0.518944263458252, -0.486075729131698...
def _ get _ dynamic _ files ( cls ) - > list : return [ ]
[ -0.8351762294769287, -0.6340077519416809, 0.559075653553009, 1.5364248752593994, 0.750725507736206, 0.4258686900138855, -0.1685827374458313, -0.0633203536272049, -0.8921881914138794, -0.8774006366729736, -1.0402194261550903, -0.14373548328876495, 0.17568619549274445, 0.7471900582313538, ...
def resetlot ( self ) : # - - - + - - - - | - - - - + - - - - | - - - - + - - - - | - - - - + - - - - | - - - - + - - - - | - - - - + - - - - | - - - - + - - - - | return binomialdistbase. resetlot ( self )
[ -0.3702096939086914, -0.31890615820884705, 0.42849230766296387, -0.7551752924919128, -0.7122875452041626, -0.3513689339160919, 0.5669082403182983, 0.28954988718032837, -1.3602168560028076, -0.093326136469841, -0.20958225429058075, 1.2347131967544556, -0.7732595205307007, -0.381835848093032...
def plot ( self ) : y = [ payment. total ( ) for payment in self. _ payments ] dates = [ datetime. strptime ( payment. date, " % y - % m - % dt % h : % m : % s " ) for payment in self. _ payments ] fig, ax = plt. subplots ( ) ax. plot ( dates, y, " o " ) ax. set ( xlabel = " fechas ", ylabel = " sueldo ( $ ) ", title =...
[ 0.62545245885849, 0.4979100227355957, 0.6194520592689514, -0.5272744297981262, -0.9187964200973511, 0.22865509986877441, -0.25072181224823, 0.1135505884885788, -0.07563335448503494, -0.7506569623947144, 0.5574320554733276, 0.9925005435943604, 1.2199069261550903, 0.3115829527378082, -0.05...
def test _ interface _ 2 ( ) : tcex _ instance = utility. init _ tcex ( ) owner = tcex _ instance. args. api _ default _ org batch = tcex _ instance. batch ( owner ) batch _ ind _ creation _ interface _ 2. address _ create ( batch ) batch _ ind _ creation _ interface _ 2. email _ address _ create ( batch ) batch _ ind ...
[ -0.23806118965148926, 0.8250418305397034, 0.47068846225738525, 0.6524876356124878, 0.2730751633644104, 1.2528955936431885, 0.6640394926071167, -0.10147102177143097, -1.466688871383667, -0.24025298655033112, -0.776181161403656, -0.19471614062786102, -0.20636187493801117, 0.42978981137275696...
def gettable ( self, name ) : return self. _ _ tables. get ( name )
[ -0.13320453464984894, 0.43313416838645935, 0.2303091585636139, 0.3599599003791809, -0.4396161139011383, -0.15083467960357666, -0.0326138474047184, -1.4723718166351318, -0.579196035861969, -0.1613815277814865, -0.15095052123069763, 0.5116909742355347, -0.44748741388320923, -0.24050500988960...
def reset _ message _ for _ subscription ( self, stream, subscription, local = false ) : if self. persistent : url _ endpoint ='/ streams / persistent / stream / { } / subscription / { } / resetcursor? local = { }'\. format ( stream, subscription, local ) # else : # url _ endpoint ='/ streams / non - persistent / strea...
[ -0.12101498246192932, 0.053840868175029755, 0.7970514297485352, 0.4520738124847412, 0.141702800989151, -0.8842758536338806, -0.1813458502292633, -0.91527259349823, -0.6277071833610535, 0.45122501254081726, 0.0367281399667263, 1.8908164501190186, -1.5462696552276611, -0.1881583034992218, ...
def convert _ graph _ to _ cyto ( g, tree _ root = none ) : # use graphviz to layout the graph for us n = nx. nx _ agraph. to _ agraph ( g ) n. edge _ attr. update ( directed = true ) n = n. unflatten ( " - f - l6 " ) n. layout ( prog = " dot ", args = " - gratio = compress - grankdir = bt - gfontsize = 25 " ) for node...
[ -0.527889609336853, -0.09523078054189682, 0.9322385787963867, -0.361099511384964, -0.6531260013580322, -0.12498980015516281, 0.1251540631055832, -0.3679411709308624, -0.215347558259964, 0.16354043781757355, -0.8739717602729797, 0.9491648077964783, 1.3208333253860474, -0.014815721660852432,...
def process _ quote ( self, message : message ) - > quote : text, author _ mention = message. content. rsplit ( maxsplit = 1 ) # todo : except valueerror : author = self. bot. get _ user ( get _ id _ from _ mention ( author _ mention ) ) return quote ( text, author )
[ 0.5736895203590393, -0.3378528952598572, 0.31140872836112976, 0.6720110774040222, 0.46176838874816895, -0.7386161088943481, -0.40610671043395996, 0.43301326036453247, -0.19388286769390106, 0.18027348816394806, 0.9679643511772156, 0.3768007457256317, -0.9867790937423706, 0.31547117233276367...
def make _ absolute _ href ( source _ href, start _ href = none, start _ is _ dir = false ) : if start _ href is none : start _ href = os. getcwd ( ) start _ is _ dir = true parsed _ source = urlparse ( source _ href ) if parsed _ source. scheme = ='' : if not os. path. isabs ( parsed _ source. path ) : parsed _ start ...
[ -0.12163188308477402, -0.3411223590373993, 0.8668419122695923, -0.1725606769323349, -0.17362527549266815, 0.20013335347175598, 1.074507713317871, 0.8820167183876038, -0.14094708859920502, 0.17203333973884583, 0.5321294665336609, 0.4085239768028259, 0.13241711258888245, -0.04165458306670189...
def parse _ rank _ page ( self, response ) : rankings = response. css ( '. rankingitemsitem') for fight in rankings : event _ name = fight. css ( '. right : : text'). get ( ) if ('ufc'in event _ name. lower ( ) ) or ('ultimate fighter') in event _ name. lower ( ) : self. last _ rank + = 1 fight _ link = fight. css (': ...
[ -0.5903856754302979, 0.0023491447791457176, 0.7293912172317505, 0.3529169261455536, 1.089045524597168, -0.7501669526100159, -0.48965200781822205, 0.16791540384292603, 0.017067179083824158, -0.664970874786377, 0.1727023422718048, -0.7549891471862793, 0.7483110427856445, 0.5728862285614014, ...
def compute _ centroid ( data ) : # don't need to do uncessary slicing because using all these elements return sum ( data ) / len ( data ) # this is the average of all dimensions
[ 0.39974671602249146, -0.10773362964391708, 0.16870048642158508, 0.21198458969593048, -0.048821333795785904, -0.13043828308582306, 0.617134690284729, 0.8516170382499695, 0.759920060634613, 0.5525760650634766, 0.6513893008232117, 0.24540089070796967, -0.724712610244751, 0.3581615686416626, ...
def parse ( self, response ) : custom _ settings = {'item _ pipelines': {'ufcstats. pipelines. ufcstatspipeline': 400 } } self. dq. clear _ fight _ rank ( ) rank _ links = ['https : / / www. tapology. com / rankings / all - time - greatest - fights - in - mma - and - ufc - history? ranking = 14'] link _ root ='https : ...
[ -0.06826606392860413, 0.6971445679664612, 0.5556113123893738, 0.3688661754131317, 1.080112338066101, -0.45248618721961975, -0.5973912477493286, 0.06974775344133377, 0.13945917785167694, -1.2382210493087769, 0.3594905436038971, -0.5667455792427063, 0.8292542099952698, 0.529964029788971, 0...
def _ on _ click _ finish ( self ) : self. _ axial. macro _ exec ( self. _ axial. macro _ out, self. _ axial. output _ file, path. macros ) self. view. accept ( )
[ 1.1372923851013184, -0.21684785187244415, 0.20285670459270477, -0.1808951497077942, 0.03886524960398674, -0.41667231917381287, 1.348374605178833, -0.13561628758907318, -1.349336862564087, -0.013413508422672749, 0.7147342562675476, 0.5304978489875793, 0.43679389357566833, 0.4565366208553314...
def calc _ centroid ( vectors ) : centroid = np. empty ( vectors. shape [ 1 ] ) for i in range ( vectors. shape [ 1 ] ) : centroid [ i ] = np. mean ( vectors [ :, i ] ) return centroid
[ -0.12782537937164307, -0.39924201369285583, 0.25927025079727173, 0.12957847118377686, 0.5586178302764893, 0.1725095957517624, 0.9673875570297241, 0.6835129261016846, 0.6913576126098633, 1.1543775796890259, -0.23445986211299896, 0.11962535977363586, -0.08930644392967224, -0.0415076278150081...
def train ( self, x _ train, y _ train ) : self. rdmf = self. rdmf. fit ( x _ train, y _ train )
[ -0.2652825117111206, 0.5020669102668762, 0.22942394018173218, -0.9128468036651611, 0.897637665271759, -0.02508232370018959, -1.0848290920257568, 0.34624120593070984, -0.960078775882721, -0.8138549327850342, -0.9444935321807861, 0.8120468854904175, -0.13059449195861816, -0.9167652130126953,...
def submit _ comment ( post, username, content, comment _ id = none ) : if content : error, comment _ id = none, comment. comment. db _ put ( post, username, content, comment _ id ) else : error, comment _ id ='please, add some content ', none return error, comment _ id
[ 0.1287095546722412, 0.12124539911746979, 0.43655094504356384, 0.2664598822593689, 0.7785590887069702, 0.22220934927463531, 0.0648263543844223, -0.20197288691997528, -0.2785269021987915, 0.4495730996131897, -0.8201176524162292, -0.6502262353897095, -1.5382764339447021, 0.36810338497161865, ...
def set _ end _ max ( self, mx ) : assert _ is _ cpo _ interval _ value ( mx ), " interval min should be an integer in [ interval _ min, interval _ max ] " assert mx > = self. end [ 0 ], " interval max should be lower or equal to interval max " self. end = ( self. end [ 0 ], mx )
[ -0.3873480558395386, 0.17299430072307587, 0.5896439552307129, 1.123271107673645, -0.2048303782939911, 1.3217425346374512, -1.0119338035583496, 0.18720188736915588, -0.876977801322937, 0.7797919511795044, -0.8541141152381897, 1.309880256652832, -1.1290124654769897, -0.25249889492988586, 0...
def _ numparse01 ( self, val, ptype = none, ctype = none ) : if val [ - 1 ] in ['s ','s'] : vv = val [ : - 1 ] t ='short'if ptype = ='ushort': t ='ushort'if vv = ='0': o = 0 elif len ( vv ) = = 1 : o = int ( vv ) elif vv [ : 2 ] = ='0x': raise'not yet ready for hex'elif vv [ : 1 ] = ='0': raise'not yet ready for octal'...
[ -0.15355680882930756, -0.7547862529754639, 0.7470783591270447, -0.16616347432136536, -0.7582640647888184, -0.18204419314861298, -0.012641477398574352, -0.25651639699935913, -0.38970258831977844, 0.5598450303077698, -0.3443097770214081, 0.2294822484254837, 0.18334516882896423, 0.92634028196...
def horizontalintervals ( voice ) : pairs = zip ( voice, voice [ 1 : ] ) pairs = filter ( lambda pair : pair [ 0 ]! = none and pair [ 1 ]! = none, pairs ) return [ pair [ 0 ] - pair [ 1 ] for pair in pairs ]
[ -0.012937195599079132, -0.7873513698577881, 0.5907702445983887, 0.3841947019100189, 0.007120272610336542, 0.4038146734237671, -0.7433710098266602, 0.37070825695991516, -0.08787756413221359, 0.6719624996185303, -0.5721089243888855, -0.016392530873417854, -0.8094140887260437, 0.1387833505868...
def kodi _ info ( self ) : info = {'plot': self. description,'title': self. title,'originaltitle': self. title } if self. ptype = ='series': info ['mediatype'] ='tvshow'info ['plot'] = " seasons : { } \ nepisodes : { } \ n { } ". format ( self. season _ count, self. episode _ count, self. description ) elif self. ptype...
[ -0.2726684808731079, -0.7170443534851074, 0.5385401844978333, -0.5850211381912231, -0.9070247411727905, -0.25146231055259705, -1.0780445337295532, -0.9525892734527588, -0.3000580370426178, 0.6170727610588074, -0.17017897963523865, 1.3196347951889038, -0.6498600244522095, 0.6924712657928467...
def download _ atlas _ level ( self, atlas _ id : int ) - > str : level _ path = os. path. join ( self. dataset, " levels ", str ( atlas _ id ) ) if os. path. exists ( level _ path ) : return level _ path url = f " { self. atlas _ root } / gi / downloader. php? id = { atlas _ id } " logger. info ( " downloading atlas l...
[ -0.07577501237392426, -0.4099884033203125, 0.3564479351043701, -0.3051699101924896, 0.044208455830812454, 0.1594531536102295, -0.13248997926712036, -0.3889709413051605, -0.1689835637807846, -0.033929482102394104, 0.3477240800857544, -0.023453740403056145, -0.5018865466117859, -0.3308704495...
def generate _ grid ( self, length, offset _ coords = none ) : if self. domain is none : domain = spatial. shapely _ rectangle _ from _ vertices ( min ( self. raw _ data [ :, 1 ] ), min ( self. raw _ data [ :, 2 ] ), max ( self. raw _ data [ :, 1 ] ), max ( self. raw _ data [ :, 2 ] ) ) else : domain = self. domain sel...
[ 0.017165692523121834, 0.8001406192779541, 0.6697829365730286, -0.292693555355072, -0.28695958852767944, 0.8818106055259705, -0.3630688488483429, 0.5790368914604187, 0.3431962728500366, -0.1989479511976242, -0.20390357077121735, 1.029939889907837, 0.7398852705955505, -0.36017751693725586, ...
def load _ data ( * * kwargs ) : try : load _ global _ covid _ data ( ) except exception as e : logging. warning ( " failed to load global data with error : " + str ( e ) )
[ 0.11891811341047287, 0.5634658932685852, 0.49017003178596497, 0.7491169571876526, -0.0825745016336441, 1.1560684442520142, -0.4255651831626892, -0.2995019555091858, -0.30727556347846985, 0.43378275632858276, -0.5587446093559265, 1.4686373472213745, -0.8143492341041565, -0.10242943465709686...
def copyall ( self, b ) : self. currentlines = copy. deepcopy ( b. currentlines ) self. movelist = copy. deepcopy ( b. movelist ) self. pointslist = copy. deepcopy ( b. pointslist ) for x in range ( 4 ) : for y in range ( 4 ) : for z in range ( 4 ) : self. b [ x ] [ y ] [ z ] = b. b [ x ] [ y ] [ z ]
[ 0.19345995783805847, -0.995075523853302, 0.7342842221260071, 0.9372200965881348, -0.38314321637153625, 0.6342184543609619, 0.10542300343513489, -0.12039347738027573, 0.5061588883399963, 0.6957660913467407, -0.2823405861854553, 0.21208417415618896, -0.395195871591568, 0.27651694416999817, ...
def get _ requests _ by _ tid _ sid ( self, tid : int, sid : int ) - > list [ request ] : requests = [ ] data = self. get _ data ('''select * from request where tid = % s and sid = % s order by create _ date'' ', ( tid, sid ) ) for request in data : requests. append ( request ( request [ 0 ], request [ 1 ], request [ 2...
[ -0.10710243880748749, -0.34720680117607117, 0.4243329167366028, 0.6361504197120667, 1.011422872543335, -0.7579239010810852, -1.5334303379058838, -1.3569878339767456, -0.22708797454833984, 0.6623331904411316, 0.09472698718309402, 0.743065357208252, 0.37917643785476685, -0.2842845022678375, ...
def rvs ( self, num _ samples = 1, * * kwargs ) : noise = multivariate _ normal. rvs ( np. zeros ( self. ndim ), self. covar ( * * kwargs ), num _ samples ) noise = np. atleast _ 2d ( noise ) if self. ndim > 1 : noise = noise. t # numpy. rvs method squeezes 1 - dimensional matrices to integers if num _ samples = = 1 : ...
[ -0.38618505001068115, -0.029441900551319122, 0.44449880719184875, -0.07198682427406311, 0.029077818617224693, -0.6790605783462524, -0.47383543848991394, -0.4884173274040222, 0.30445462465286255, 0.357535183429718, 0.36464643478393555, 0.42289528250694275, -0.28457802534103394, 0.2904472351...
def _ _ init _ _ ( self, algorithm : str, key : bytearray, init _ vect : bytearray, pad _ mode : int ) - > none : super ( ). _ _ init _ _ ( algorithm, key ) if pad _ mode not in ( pad _ mode _ 1, pad _ mode _ 2 ) : self. clear ( ) raise gostciphererror ('invalid padding mode') self. _ pad _ mode = pad _ mode if not che...
[ 0.2711356580257416, 0.6979504823684692, 0.6022673845291138, 0.05319110304117203, -0.22943837940692902, 0.5564691424369812, 0.45391562581062317, -0.3356894552707672, 0.1705840528011322, 0.5352519154548645, -0.6184087991714478, 0.6712071895599365, 0.0023407682310789824, 0.49378496408462524, ...