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def get _ clusters ( self, uuid = none, cache = false, * * kwargs ) : if cache : clusters = self. get _ cached _ inventory ('_ _ clusters') else : clusters = self. search ( types = ['cluster'], * * kwargs ) if uuid : return [ deepcopy ( x ) for x in clusters if x ['uuid'] = = uuid ] return clusters
[ -2.0511293411254883, 0.5612569451332092, 0.36299410462379456, 1.239550232887268, 0.38422033190727234, -0.32222607731819153, -0.11425253748893738, -0.02939840592443943, 0.2818208932876587, 0.5183391571044922, 0.1469067931175232, 0.8511316180229187, -0.322832852602005, -0.7850813865661621, ...
def load _ weights _ to _ network ( model, weights _ dict ) : weights _ names = list ( weights _ dict. keys ( ) ) for layer in model. layers : if layer. name in weights _ names : if " bn " in layer. name : mean = weights _ dict [ layer. name ] [ " mean " ] var = weights _ dict [ layer. name ] [ " var " ] scale = weight...
[ -0.005689798388630152, -0.3552882969379425, 0.6576429009437561, -0.9964143633842468, 0.090803362429142, 0.3700341284275055, -0.48971083760261536, -0.2691826820373535, -0.5225115418434143, 1.3517156839370728, -0.42764437198638916, -0.4447556436061859, 0.05232197046279907, 0.6872678995132446...
def setreadmode ( mode ) : return none
[ -0.6793254613876343, -0.46634623408317566, 0.542762815952301, -0.21339835226535797, 0.07134611159563065, 1.1860359907150269, -0.5291066765785217, 0.08784911036491394, 0.1844797134399414, -0.7290593981742859, 0.22829385101795197, -0.13971124589443207, -0.6106230020523071, -0.937950313091278...
def input _ menu _ choice ( ) : choice = str ( input ( " which option would you like to perform? [ 1 to 6 ] - " ) ). strip ( ) print ( ) # add an extra line for looks return choice
[ -0.3359427750110626, -0.44416359066963196, 0.24605506658554077, 0.7757600545883179, -0.16313022375106812, 0.539201557636261, 0.5198575854301453, -0.6414071917533875, 0.2832259237766266, -0.8099195957183838, 0.4193335473537445, 0.5704408884048462, -0.4849162697792053, -0.7114195227622986, ...
def buildray ( tablelongitudinal, tablelateral, tableheight, lrangle, ccangle, dref ) : x = 0 y = 0 z = - dref lrrads = ( lrangle / 360. ) * 2. * math. pi ccrads = ( ccangle / 360. ) * 2. * math. pi sinlr = math. sin ( lrrads ) coslr = math. cos ( lrrads ) sincc = math. sin ( ccrads ) coscc = math. cos ( ccrads ) # ful...
[ 0.09299951046705246, -0.3241111934185028, 0.6826415657997131, -0.4575313627719879, 0.2516027092933655, -0.25474390387535095, -0.04147585481405258, -0.43548497557640076, -0.14048533141613007, 0.2973887622356415, -0.22369523346424103, 0.23520579934120178, -0.1339138299226761, -0.291563749313...
def _ get _ geo _ name ( self ) : try : result = urlfetch. fetch ('http : / / ws. geonames. org / findnearestaddressjson? lat = % f & lng = % f'% ( self. location. lat, self. location. lon ) ). content # todo handle cases when server is overloaded. except urlfetch. downloaderror : result ='unknown'except urlfetch. erro...
[ -0.49951910972595215, -0.5735478401184082, 0.5033801794052124, -0.8846422433853149, -1.480659008026123, -0.25767987966537476, -1.512237310409546, -0.9384043216705322, -0.6587107181549072, 0.7782585620880127, -0.8579973578453064, 0.15068426728248596, 0.15957018733024597, -0.2576844394207001...
def _ _ str _ _ ( self ) - > str : self _ as _ str = " " for channel, frames in self. frames. items ( ) : initial _ time _ point = frames [ 0 ]. time _ point self _ as _ str + = ( f " [ { channel } ] \ n " # channel name f " { frames [ 0 ]. size [ 1 ] } x { frames [ 0 ]. size [ 0 ] } x " # image size f " [ { initial _ ...
[ -0.027551423758268356, -0.974975049495697, 0.7726151943206787, -0.8805138468742371, 0.17609192430973053, -0.23407815396785736, -0.21135839819908142, -0.7955052852630615, -0.552647590637207, 0.4084618091583252, 0.24690592288970947, 0.15808431804180145, 0.01314837671816349, 0.656991124153137...
def clear _ update ( self ) : # override if self. _ update _ commands is not none : self. _ update _ commands = [ ]
[ -0.45741134881973267, -0.6081645488739014, 0.5866625905036926, 0.6491772532463074, 0.22189189493656158, 0.0444902665913105, -0.3603188991546631, -0.49665921926498413, 0.7166942358016968, -0.037828229367733, 0.08215176314115524, 0.5242000818252563, -0.5239591002464294, 0.4104212522506714, ...
def players ( username ) : if request. method = = " post " : new _ user ( username, request. form [ " user " ] + " \ n " ) users = get _ users ( ) return render _ template ( " game. html ", username = username )
[ -0.6202044486999512, 0.5995717644691467, 0.640471875667572, 0.8623321652412415, 0.2502690851688385, 0.41866257786750793, 0.19699785113334656, 0.016207540407776833, -0.7050492167472839, 0.4091450572013855, -0.037019215524196625, -0.6063189506530762, -0.8192172050476074, 0.6480650305747986, ...
def get _ antipole _ regs ( self, device : str ) - > dict [ str, str ] : inverted _ regs = self. config [ " devices " ] [ device ] [ " inverted _ regs " ] return inverted _ regs
[ -1.4409948587417603, 0.8257332444190979, 0.3243067264556885, -0.5052922368049622, -0.022917285561561584, 0.8221974968910217, -0.27047625184059143, 0.49773070216178894, -0.17063750326633453, 0.14937368035316467, -1.2061254978179932, 0.12668651342391968, -0.9560591578483582, 0.19500812888145...
def mirror _ tree _ dest ( self, chm _ dest _ tree, mocked _ methods ) : return chm _ dest _ tree [ " mirror " ]
[ -1.0844508409500122, -0.21783098578453064, 0.16379648447036743, -0.9752237796783447, -0.5880212187767029, 0.4133545160293579, -0.02824421040713787, 0.7321801781654358, 0.0005570302600972354, 0.5835776329040527, -0.6602969765663147, 1.1607592105865479, 0.48998335003852844, 0.541284859180450...
def _ stack ( self, mu, logstdev ) : params = np. concatenate ( [ mu, logstdev ], axis = - 1 ) return params
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def calculate _ merge _ output _ shapes ( operator ) : check _ input _ and _ output _ numbers ( operator, input _ count _ range = [ 1, none ], output _ count _ range = 1 ) check _ input _ and _ output _ types ( operator, good _ input _ types = [ floattensortype ] ) # [ todo ] fix reduce - like shape inference. we now a...
[ -0.8613503575325012, 0.12270651012659073, 0.6358838677406311, 0.2149130254983902, 0.10578631609678268, -0.7443312406539917, 1.2226166725158691, 0.12900030612945557, -0.20311057567596436, -0.01075002271682024, -0.5419365167617798, -0.5844895839691162, 0.05034460127353668, 0.2660926282405853...
def test _ post _ _ valid ( self ) - > none : self. client. force _ login ( self. user ) response : httpresponse = self. client. post ( self. path, data = {'body':'an example answer ', } ) answer : models. answer = models. answer. objects. get ( ) assert {'author _ id': self. user. pk,'created': answer. created,'id': a...
[ 0.12024147808551788, -0.19337141513824463, 0.621650755405426, 0.7700345516204834, -0.025672603398561478, 1.3945534229278564, 0.026697801426053047, -0.55489581823349, 0.4451536238193512, -0.8141602277755737, -0.5858290791511536, -0.2515285611152649, 0.20510876178741455, -0.4934340715408325,...
def test _ intraday _ dataframe _ with _ intraday _ database ( self ) : def mock _ get _ prices ( * args, * * kwargs ) : dt _ idx = pd. datetimeindex ( [ " 2018 - 06 - 29 ", " 2018 - 06 - 30 " ] ) times = [ " 11 : 00 : 00 ", " 12 : 00 : 00 " ] fields = [ " close " ] idx = pd. multiindex. from _ product ( [ fields, dt _...
[ -0.6573752760887146, 0.3080887794494629, 0.9014065265655518, -0.4232581555843353, -0.20472931861877441, 0.042584218084812164, 0.3514033257961273, -0.06950952112674713, -0.1795816272497177, -0.15592460334300995, -0.2122378796339035, 0.10670813173055649, -1.0043755769729614, -0.6487089991569...
def _ build _ actor _ network ( self, scope, trainable ) : with tf. variable _ scope ( scope ) : hid1 = tf. layers. dense ( self. states _ ph, 150, activation = tf. tanh, trainable = trainable ) hid2 = tf. layers. dense ( hid1, 200, activation = tf. tanh, trainable = trainable ) hid3 = tf. layers. dense ( hid2, 150, ac...
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def main ( argv ) : try : opts, args = getopt. getopt ( argv, " hi : o : ", [ " ifile = ", " p = " ] ) except getopt. getopterror : print'generate _ data. py - zip - date - icd'sys. exit ( 2 ) for opt, arg in opts : pass
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def extend _ vector ( self, p1, p2, h, w, extend = 500 ) : theta = np. arctan2 ( p1 [ 1 ] - p2 [ 1 ], p1 [ 0 ] - p2 [ 0 ] ) endpt _ x = max ( 0, min ( p1 [ 0 ] - extend * np. cos ( theta ), w ) ) endpt _ y = max ( 0, min ( p1 [ 1 ] - extend * np. sin ( theta ), h ) ) theta = np. arctan2 ( p2 [ 1 ] - p1 [ 1 ], p2 [ 0 ] ...
[ -0.08420990407466888, -0.3796331286430359, 0.9098924994468689, 0.013336717151105404, -0.03632038086652756, 0.5989723205566406, -0.5372542142868042, 0.15372014045715332, -0.48595574498176575, 0.6574077606201172, -0.2012460082769394, 1.2754290103912354, 0.2702177166938782, -0.034722328186035...
def test _ hof ( a, b ) : def f ( g, x ) : return g ( x ) * g ( scala _ add ( x, 10. 0 ) ) def g ( x ) : return x * b return scala _ add ( f ( g, a ), f ( g, b ) )
[ 1.3120367527008057, 1.2944074869155884, 0.25827065110206604, 0.25402212142944336, 1.2004374265670776, -0.1998450756072998, 0.056468673050403595, -0.5383676290512085, 0.23655320703983307, -0.053241170942783356, 0.07155899703502655, 0.469908744096756, -0.03099795989692211, -0.804544806480407...
def get _ user _ song ( check _ func ) : hint = " enter the song number : " song _ number = input ( hint ) while not check _ func ( song _ number ) : song _ number = input ( hint ) return song _ number
[ -0.05964123457670212, 0.2822451889514923, 0.37592506408691406, 1.1295982599258423, 0.5302149653434753, 0.8220528364181519, 1.22517991065979, -0.17046260833740234, -0.6762601137161255, -0.7581239342689514, -0.17891748249530792, 0.6661972999572754, -0.2361123114824295, -1.0878777503967285, ...
def test _ post _ _ author _ update ( self ) - > none : self. client. force _ login ( self. author ) path = reverse ('question - update ', kwargs = dict ( pk = self. question. pk ) ) response = self. client. post ( path, data = dict ( title ='this is a title updated ', body ='this is an updated body ', subject = self. ...
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def set _ flow _ rate ( self, syringe _ num, flow _ rate ) : self. _ check _ syringe _ number ( syringe _ num ) if syringe _ num = = 2 and self. get _ mode ( )! = self. modes [ 1 ] : raise pumperror ( " % s : syringe 2 flow rate can only be set directly in " " proportional mode " % self. name ) flow _ rate = _ format _...
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def psf _ in _ tile ( self, image, beam, g _ gauls, cdelt, factor, snrcutstack, volrank, \ tile _ prop, plot, img ) : mylog = mylogger. logging. getlogger ( " pybdsm. " + img. log + " psf _ vary " ) tile _ list, tile _ coord, tile _ snr = tile _ prop tr _ gaul = self. trans _ gaul ( g _ gauls ) tr = [ n for i, n in enu...
[ 0.23338240385055542, 0.5221523642539978, 0.6520914435386658, -0.6111197471618652, 0.04061896353960037, -0.6169582009315491, 0.37652871012687683, 0.18264000117778778, -0.3822281062602997, 0.005208524875342846, 0.1773328334093094, 0.25836390256881714, -0.05713573470711708, 0.6857718825340271...
def get _ random _ canvas _ block ( * args, * * kwargs ) : col _ count = 16 if len ( args ) < 1 else args [ 0 ] row _ count = 16 if len ( args ) < 2 else args [ 1 ] canvas = canvas ( row _ count = row _ count, lpad _ count = col _ count ) for r in range ( row _ count ) : for c in range ( col _ count ) : canvas. rows [ ...
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def fold _ change _ bohr ( bohr _ parameter ) : bot _ term = 1 + np. exp ( - bohr _ parameter ) inv _ term = 1 / bot _ term return inv _ term
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def get _ death _ data ( ) : success = 0 if os. path. exists ('ghe2015 _ deaths - 2000 - country. xls') : print ( " - - ghe2015 _ deaths - 2000 - country. xls found locally " ) success = 1 else : print ( " - - trying to download ghe2015 _ deaths - 2000 - country. xls from from the who website " ) fn = ( " http : / / ww...
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def _ xor _ shift ( self, number ) : # shift to the right and then bitwise xor. number ^ = ( number > > self. _ xor _ a1 ) # shift to the left and then bitwise xor. number ^ = ( number < < self. _ xor _ a2 ) # shift to the right and then bitwise xor. number ^ = ( number > > self. _ xor _ a3 ) return number
[ -0.8242990374565125, 0.7758219838142395, 0.796755850315094, 0.5272988677024841, -0.47921618819236755, 0.6145463585853577, -0.5288427472114563, -0.6964542865753174, 0.6975350975990295, -0.06387174874544144, -0.36442551016807556, -0.5782901644706726, -0.11096645146608353, -0.800691545009613,...
def check ( value ) : cnt = 0 for i in value : if i = = " ( " : cnt = cnt + 1 else : if value [ cnt - 1 ] = = " ( " : cnt - = 1 else : return " no " if cnt = = 0 : return " yes " else : return " no "
[ -0.8752445578575134, 0.25784578919410706, 0.7184168100357056, 0.007493895478546619, -1.0146294832229614, -0.24388493597507477, 0.5975053906440735, -0.7106421589851379, 0.4471234381198883, 0.48158615827560425, -0.17274683713912964, 0.36573609709739685, -1.000404953956604, 0.5149084329605103...
def cache _ files ( self ) : cache _ files = list _ table _ cache _ files ( self. _ data ) if self. _ indices is not none : cache _ files + = list _ table _ cache _ files ( self. _ indices ) return cache _ files
[ -0.38970255851745605, 0.5765872001647949, 0.39627137780189514, 1.3144229650497437, 0.33742594718933105, 0.3194168508052826, 0.06482362747192383, -0.07828933000564575, -0.15469036996364594, 0.4042242169380188, 0.04143160581588745, -0.20073799788951874, -0.013241116888821125, -0.129559457302...
def events ( self, instance, keyboard, keycode, text, modifiers ) : if keyboard in ( 1001, 27 ) : if self. manager _ open : self. file _ manager. back ( ) return true
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def _ validate _ raw _ nc ( self ) : self. raw _ nc _ list = [ ] total _ time _ len = 0 initial _ file = true id _ dim _ name _ list = [ ] id _ len _ list = [ ] q _ var _ name _ list = [ ] self. time _ len _ array = [ ] for rapid _ output _ file in self. rapid _ output _ file _ list : raw _ nc = dataset ( rapid _ outpu...
[ 0.4208170473575592, -0.7006901502609253, 0.7547683119773865, -0.1673375517129898, -0.012229024432599545, 0.07924950122833252, 0.35837864875793457, -0.37106552720069885, -0.6557586789131165, -0.01161329448223114, 0.04777257516980171, 0.10751909762620926, 0.16054753959178925, 0.7749765515327...
def test _ singlecasereporting ( self ) : result = self. runner. run ( self. test ) self. assertequal ( result. _ calls, ['starttest ','addsuccess ','stoptest'] )
[ 0.3462790846824646, 1.6044507026672363, 0.4425591230392456, 0.1124911978840828, 1.4341315031051636, 0.6962602138519287, 0.7610002160072327, 0.4898715615272522, 0.47235506772994995, -0.6390147805213928, -0.06642267107963562, -0.7634674906730652, -1.1296855211257935, 0.9922643303871155, -0...
def home ( ) : return render _ template ('index. html ', title ='home page ', year = datetime. now ( ). year, )
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def setwidth ( self, w = 150 ) : if w in range ( 50, 300 ) : self. wid = w else : print ( " error : invalid width. width reverted to old value " )
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def sync _ tunnel _ allocations ( tunnel _ id _ ranges ) : # determine current configured allocatable tunnels tunnel _ ids = set ( ) for tunnel _ id _ range in tunnel _ id _ ranges : tun _ min, tun _ max = tunnel _ id _ range if tun _ max + 1 - tun _ min > 1000000 : log. error ( _ ( " skipping unreasonable tunnel id ra...
[ -0.5125042796134949, -0.12563402950763702, 0.5647968053817749, -0.28203830122947693, 0.15468382835388184, -0.15079133212566376, 0.6690697073936462, -0.8031818270683289, 0.1060791090130806, 1.0934957265853882, 0.9938361048698425, -0.7036877870559692, 0.5709870457649231, -0.2983342409133911,...
def rotate _ velocity _ at ( self, pos, vel, et ) : vec _ pos = np. asarray ( pos ) vec _ vel = np. asarray ( vel ) if vec _ pos. ndim < 1 : vec _ pos = np. asarray ( [ pos ] ) if vec _ vel. ndim < 1 : vec _ vel = np. asarray ( [ vel ] ) if vec _ pos. shape! = vec _ vel. shape : raise valueerror ('input velocities and ...
[ -0.2449338734149933, -0.003314343048259616, 0.692560613155365, -0.24304282665252686, 0.10868941247463226, -0.09327731281518936, -0.4881213307380676, -0.14191830158233643, 0.7190407514572144, 0.7145058512687683, -0.28228893876075745, -0.13143178820610046, -0.06297240406274796, -0.8270166516...
def debug _ check _ repr _ of _ data ( index, encoder _ input _ data _ train, anwer _ gen _ input _ data _ train, answer _ gen _ target _ data _ train, train _ raw _ a, train _ raw _ q, index2word _ train _ a, index2word _ train _ q ) : print ( " index = " + str ( index ) ) print ( " raw data - - - - - - " ) print ( " ...
[ -0.6271910071372986, -0.4279070198535919, 1.0418871641159058, -1.4802725315093994, -0.1442941427230835, 0.09784266352653503, 0.8222119808197021, -0.5789412260055542, -0.3760644793510437, -0.09966758638620377, -0.08953335136175156, 1.0524588823318481, -0.14992469549179077, -0.43936553597450...
def calc _ deskew _ factor ( dz _ stage : float, xypixelsize : float, angle : float ) - > float : deskewf = np. cos ( angle * np. pi / 180. 0 ) * dz _ stage / xypixelsize logger. debug ( f " deskew factor caclulated as { deskewf } " ) return deskewf
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def _ build _ train _ specific _ graph ( self, iterator, model _ fn, params, record _ files _ placeholder, num _ train _ steps ) : def build ( ) : features, labels = iterator. get _ next ( ) estimator _ spec = model _ fn ( features, labels, tf. estimator. modekeys. train, params ) with tf. control _ dependencies ( [ es...
[ -0.9152470827102661, 0.15736156702041626, 0.5295938849449158, 0.6040129661560059, -0.3387902081012726, -0.36654436588287354, 0.6825039386749268, 0.7084873914718628, -1.1078768968582153, 0.6445779800415039, 0.06325417757034302, 0.2775440812110901, 0.8443302512168884, -0.639157235622406, 0...
def dbscan ( self ) : model = dbscan ( eps = 40, min _ samples = 50 ) model. fit ( self. trainingdata ) res = model. fit _ predict ( self. testingdata ) print ( " db scan accuracy ", metrics. accuracy _ score ( res, self. testlabels ) )
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def model _ baseline ( train _ data, test _ data, test _ flag, prediction _ path ='', fold _ number ='' ) : def predict ( data, filename, save = true ) : # get non - zero elements ( rows, cols, vals ) = sp. find ( data ) # do predictions for ` data ` pred = np. array ( [ ( global _ mean + item _ means [ i ] + user _ me...
[ 0.028287135064601898, 0.06228749081492424, 0.7438843846321106, 0.5450564622879028, 0.6805731654167175, 0.5023717880249023, 0.5275493860244751, 0.7815167903900146, -0.7954392433166504, 0.6136580109596252, -0.19831295311450958, 0.4919346570968628, 0.09290444850921631, -0.06061119586229324, ...
def setup ( self ) : self. pkmn = buildpokemonbattlewrapper ( ) self. trap = trap ( none, " ", " " ) self. hp = 32. 0
[ -0.2559846341609955, -0.08658230304718018, 0.44199517369270325, 0.981459379196167, 1.0316399335861206, 0.592491090297699, -0.911102831363678, 0.0007698156405240297, 0.0011813559103757143, -0.8607383370399475, -0.6988353729248047, -0.2617768347263336, -0.09494493156671524, 0.609511077404022...
def interpolation ( points, queries, feat, points _ row _ splits, queries _ row _ splits, k = 3 ) : ans = knn _ search ( points, queries, k = k, points _ row _ splits = points _ row _ splits, queries _ row _ splits = queries _ row _ splits, return _ distances = true ) idx = tf. cast ( tf. reshape ( ans. neighbors _ ind...
[ 0.061083342880010605, 0.5973771214485168, 0.5323435068130493, 0.2768005430698395, -0.46541929244995117, -0.18727365136146545, 0.035999685525894165, 0.6517727375030518, 0.11184650659561157, 0.7710056900978088, 0.1198120266199112, -0.7314326763153076, 0.30508920550346375, -0.6979705095291138...
def get _ number ( s ) : s = [ c for c in s if c in " 0123456789 " ] return " ". join ( s )
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def newgeneration1 ( self ) : for i in range ( 0, len ( self. population ) ) : " " " depending of your experiment you need to use the most suitable algorithms for : 1. select two candidates 2. apply crossover 3. apply mutation " " " ia, ib = self. randomselection ( ) # * * * * single child implementation * * * * * * * ...
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def update ( self, point, probability = 1. 0 ) : if not len ( point ) = = 3 : raise valueerror ( " point should be tuple ( x, y, z ) " ) if not 0 < probability < 1 : raise valueerror ( " probability should be between 0. 0 and 1. 0 " ) self. root. update ( point, probability, self. origin, self. width, self. _ max _ dep...
[ -0.2601894736289978, -0.06727322936058044, 0.42723754048347473, 0.9899477958679199, -0.48148444294929504, 0.9538168907165527, 0.060015786439180374, 0.46252837777137756, 0.10144498944282532, 0.629558265209198, 0.35567378997802734, 0.14557604491710663, -0.9897194504737854, 0.1475171893835067...
def set _ visit _ queryset ( self, * * kwargs ) : visit _ model = kwargs. get ('visit _ model') subject _ identifier = kwargs. get ('subject _ identifier') visit _ code = kwargs. get ('visit _ code') visit _ instance = kwargs. get ('visit _ instance') pk = kwargs. get ('pk') if pk : return visit _ model. objects. filte...
[ -0.4229092299938202, 0.14954671263694763, 0.5636849999427795, -0.13145461678504944, -0.05564194172620773, 0.7600516676902771, 0.3927878439426422, 0.12839266657829285, -0.003951840102672577, 0.8343169093132019, 0.8025487065315247, 1.3627984523773193, -0.002934536663815379, 0.045911192893981...
def run _ startup ( ) : geo _ home ='/ usr / local / % s'% geoserver cmd ='export java _ home = % s ; export geoserver _ home = % s ; $ geoserver _ home / bin / startup. sh'% ( java _ home, geo _ home ) os. system ( cmd )
[ 0.45087236166000366, -0.7115211486816406, 0.6017339825630188, 1.0545258522033691, 0.0908803939819336, 0.7328028678894043, 0.4195569157600403, 0.34232592582702637, 0.27586695551872253, 0.4036327302455902, -0.12363303452730179, 1.1677778959274292, 0.41558536887168884, 0.49317222833633423, ...
def get _ counts ( outfile, infile, is _ compressed = true, infile _ start = 0, infile _ end = 100, nodes _ u = none, nodes _ o = none ) : num _ subgraphs = 8 num _ rg = infile _ end - infile _ start ensemble _ counts = np. zeros ( [ num _ rg, num _ subgraphs ], dtype = np. int64 ) i = 0 while i < num _ rg : nth = infi...
[ 0.2066257745027542, 0.4486929476261139, 0.8025765419006348, 0.6723493337631226, 0.22048774361610413, 0.3223998248577118, 1.3546981811523438, 0.5428639054298401, -0.8742512464523315, 0.7114032506942749, -0.7936874032020569, 1.1545511484146118, -0.7954868674278259, 0.03232560306787491, 0.9...
def test _ walksdownpath ( self ) : walkerresults = list ( runner. _ qualnamewalker ( " walker. texas. ranger " ) ) self. assertequal ( walkerresults, [ ( " walker. texas. ranger ", [ ] ), ( " walker. texas ", [ " ranger " ] ), ( " walker ", [ " texas ", " ranger " ] ) ] )
[ -0.26660144329071045, -1.0014081001281738, 0.47113728523254395, 0.08133109658956528, 0.1633424162864685, 0.9800292253494263, 0.8167267441749573, -0.13968011736869812, 0.05198794603347778, -1.0465240478515625, -0.08346138894557953, -0.42987754940986633, -0.8036502599716187, 0.30602201819419...
def _ _ reduce _ _ ( self, * args, * * kwargs ) : # real signature unknown pass
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def addscalartensor ( self, tag, wall _ time = 0, step = 0, value = 0 ) : tensor = tensor _ util. make _ tensor _ proto ( float ( value ) ) event = event _ pb2. event ( wall _ time = wall _ time, step = step, summary = summary _ pb2. summary ( value = [ summary _ pb2. summary. value ( tag = tag, tensor = tensor ) ] ), ...
[ 0.22184647619724274, 0.6344909071922302, 0.6674365401268005, 0.3797667324542999, -0.6447095274925232, 0.3005181849002838, -0.07211565226316452, -1.1138416528701782, -0.4015965759754181, 0.3417832553386688, -1.4214422702789307, 0.350337415933609, -0.027116850018501282, 0.8016670942306519, ...
def localenergy ( self, wf, st ) : iflips, mel = self. findconn ( st ) en = 0 for k in range ( len ( mel ) ) : pop = wf. pop ( st, iflips [ k ] ) if pop = = none : continue en + = pop * mel [ k ]. conj ( ) return en
[ 0.13777998089790344, -0.4321150779724121, 0.3321394920349121, -0.23976603150367737, -0.9731523394584656, -0.9242976307868958, -0.23251473903656006, 1.0764652490615845, -0.7752215266227722, 0.8689531087875366, 0.19852221012115479, -0.608194887638092, -0.8484722375869751, -0.0880591049790382...
def find _ cfr _ part ( text ) : counts = { } for match in re. finditer ( ur " ( \ d + ) \. ( \ d + ) ", text ) : counts [ match. group ( 1 ) ] = counts. get ( match. group ( 1 ), 0 ) + 1 best, best _ count = none, 0 for part in counts : if counts [ part ] > best _ count : best = part best _ count = counts [ part ] ret...
[ 0.36454343795776367, -0.13816210627555847, 0.907585084438324, -0.4078647196292877, -0.1710195392370224, -0.5667293071746826, 0.45146068930625916, 0.3796383738517761, -0.8344683647155762, -0.6661707162857056, 0.07318107783794403, -0.6446654200553894, -0.8332489728927612, 0.7687598466873169,...
def stop ( self ) : if not self. running : return # teardown event handlers. self. _ teardown _ event _ handlers ( ) # call parent method to stop the children and set the state. super ( filter, self ). stop ( )
[ -0.7438855171203613, -0.3321823179721832, 0.2390998899936676, 0.11921227723360062, 0.3442786931991577, 0.22893072664737701, 1.3818856477737427, -0.023751484230160713, -0.5431901812553406, -0.03317663446068764, -0.541093111038208, 0.05163324996829033, -0.27025389671325684, 0.106840193271636...
def check _ amt ( self, amt ) : if ( type ( amt ) is'float'or type ( amt ) is'int') : return true else : return false
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def addtab ( self, assembly, title ) : editor = assembly. geteditor ( ) super ( tabwidget, self ). addtab ( assembly, ui. pixmapcache. geticon ( " empty. png " ), title ) self. settabsclosable ( true ) self. navigationbutton. setenabled ( true ) if editor not in self. editors : self. editors. append ( editor ) editor. ...
[ -0.4508103132247925, -0.4281057119369507, 0.6252252459526062, 0.20891782641410828, 0.3473142087459564, 0.557239294052124, -0.13789790868759155, 0.17778928577899933, 0.08598237484693527, -0.2749945819377899, -0.3639010190963745, -0.4692150056362152, 0.03543585166335106, 0.25646230578422546,...
async def listen _ for _ new _ responses ( self, callback _ function = none, timeout = none ) : url = " { } { } : { } / ws / responses / new / current _ operation ". format ( self. _ ws, self. _ server _ ip, self. _ server _ port ) if callback _ function : task = await self. stream _ output ( url, callback _ function, ...
[ 0.3545396327972412, -0.3134041726589203, 0.6664299368858337, -0.17794857919216156, -0.27557146549224854, -0.7640266418457031, 0.9191158413887024, -0.6193387508392334, 0.15868449211120605, -0.33899009227752686, 0.29107865691185, 0.3893028795719147, -0.1942242532968521, 0.19438554346561432, ...
def _ state _ nodes _ to _ matrices ( self, state _ nodes, actions ) : assert isinstance ( state _ nodes, list ) n _ states = len ( state _ nodes ) n _ actions = len ( actions ) state _ index = { n. state : i for i, n in enumerate ( state _ nodes ) } action _ index = { a : i for i, a in enumerate ( actions ) } tf = np....
[ -0.19765807688236237, 0.6892044544219971, 0.515068531036377, -0.509867250919342, 0.06157773360610008, -0.9076048731803894, 0.2941875457763672, 0.5824506878852844, 0.18693219125270844, 0.3862190544605255, 0.002330142306163907, 0.23221896588802338, 0.6350135207176208, -0.4836367964744568, ...
def _ init _ jobs _ table ( ) : _ jobs _ table = sqlalchemy. table ('jobs ', _ metadata, sqlalchemy. column ('job _ id ', sqlalchemy. unicodetext, primary _ key = true ), sqlalchemy. column ('job _ type ', sqlalchemy. unicodetext ), sqlalchemy. column ('status ', sqlalchemy. unicodetext, index = true ), sqlalchemy. col...
[ 0.6278177499771118, 0.22434908151626587, 0.813688337802887, -0.9233318567276001, -0.2659529447555542, -0.45270296931266785, -0.6734872460365295, -0.4382496774196625, -1.043810486793518, 0.1158231645822525, 0.08540590107440948, 0.12053404003381729, 0.4394284188747406, 0.08766724914312363, ...
def validate _ configuration ( cls, configuration : optional [ expectationconfiguration ] ) - > none : # setting up a configuration super ( ). validate _ configuration ( configuration ) if configuration is none : configuration = cls. configuration center _ point = configuration. kwargs [ " center _ point " ] range = co...
[ -0.45162060856819153, -0.407071590423584, 0.5808591246604919, -0.16550332307815552, 0.2683413028717041, 0.6767526268959045, 0.16892486810684204, 0.9071915745735168, 0.41533544659614563, 0.1052192822098732, 0.34671685099601746, -0.2926770746707916, -0.2548530101776123, 1.23859703540802, 0...
async def launch _ smart _ coin ( self, source, * * kwargs ) - > coinwrapper : amt = 1 if'amt'in kwargs : amt = kwargs ['amt'] found _ coin = await self. choose _ coin ( amt ) if found _ coin is none : raise valueerror ( f'could not find available coin containing { amt } mojo') # create a puzzle based on the incoming s...
[ -0.0014346587704494596, 0.6020557284355164, 0.5499854683876038, -0.10864003747701645, -0.7865048050880432, -0.804926872253418, 0.35246390104293823, -0.16620387136936188, 0.4572851359844208, 0.5177958011627197, -0.5655714273452759, 1.2340503931045532, 0.04077131301164627, -0.093955017626285...
def disable _ ansi _ colors ( world _ default _ config ) : orig _ colormode = cf. colormode cf. disable ( ) world _ default _ config. no _ ansi = true yield cf. colormode = orig _ colormode
[ 0.20600299537181854, -0.2908180356025696, 0.5503983497619629, 0.19334493577480316, -0.7412376403808594, 0.8283803462982178, 0.39803794026374817, 0.40839117765426636, -0.632140576839447, -0.08879577368497849, -1.2491180896759033, -0.37996038794517517, -0.30512577295303345, 0.268392890691757...
def precess _ j2000 _ to _ b1950 ( ra, decl, input = " sexigesimal ", output = " sexigesimal " ) : # convert equatorial coords to radians if input = = " sexigesimal " : ra = protractor. convert ( ra, " hmsstr ", " rad " ) decl = protractor. convert ( decl, " dmsstr ", " rad " ) else : ra = protractor. convert ( ra, inp...
[ -0.039253730326890945, -1.0915831327438354, 0.8850801587104797, -1.1744214296340942, -0.02107631415128708, -0.38597050309181213, 0.2495240718126297, 0.41905927658081055, 0.0765194445848465, 0.23154616355895996, -0.5097414255142212, 0.7719598412513733, 0.0659211277961731, 0.5368802547454834...
def add _ et _ subelement ( self, parent : et. element ) - > none : element = et. subelement ( parent, " bit _ field _ value " ) element. set ( " name ", self. name ) element. set ( " value ", self. _ get _ value _ str ( ) ) element. set ( " description ", self. description )
[ 0.40427932143211365, 0.8924638032913208, 0.6920185089111328, -0.22977815568447113, -0.007983994670212269, 1.5669975280761719, -0.38917845487594604, -0.14053599536418915, -0.534958004951477, -0.684131383895874, -0.5404369831085205, 0.28832194209098816, 0.3053603172302246, 0.6594023704528809...
def renderparticletrajectories3d ( photonwaves, electronwaves ) : fig = plt. figure ( figsize = ( 10, 10 ) ) ax = fig. add _ subplot ( 111, projection ='3d') # hide axes ticks ax. set _ xlabel ('x axis') ax. set _ ylabel ('y axis') ax. set _ zlabel ('z axis') ax. tick _ params ( bottom = false, top = true, left = true,...
[ 0.7319992184638977, -0.06575510650873184, 0.8160828948020935, -0.8924791216850281, -0.44253861904144287, 0.9731122255325317, -0.20948278903961182, 0.5111314654350281, 0.2736595571041107, 0.46046748757362366, -0.15493077039718628, 0.5865788459777832, -0.5212733745574951, -0.3533292710781097...
def _ _ init _ _ ( self, layers, procspec ) : self. procspec = procspec self. _ layers = layers self. _ data = { } self. spam = { } self. _ data = { } for layer in self. _ layers : self. _ data [ layer ] = layernoisedata ( layer )
[ 1.1139161586761475, -0.20912879705429077, 0.3729656934738159, -0.9460829496383667, 0.5725762844085693, 0.23475903272628784, -0.5710532665252686, 0.16608215868473053, -0.5471341013908386, -0.12986689805984497, -0.9407145977020264, 0.7602132558822632, -0.11574387550354004, 0.6292650103569031...
def call ( self, inputs, training, * * kwargs ) : inputs, categories = inputs [ 0 ], inputs [ 1 ] with tf. name _ scope ( " transformer " ) : logger = tf. get _ logger ( ) if self. params [ " mode " ] = = " debug " : logger. debug ( " transformer inputs " ) logger. debug ( inputs ) attention _ bias = utils. get _ paddi...
[ -0.8842347860336304, -0.06491982191801071, 0.6672282218933105, -0.0757744163274765, -0.030164441093802452, -0.4164750277996063, -0.10971888899803162, -0.49157676100730896, -0.005118836648762226, -0.12373477965593338, 0.08742159605026245, 0.5333042740821838, -0.43693432211875916, 0.78741878...
def create _ dir ( ) : os. system ('mkdir { } '. format ( config. repository _ path ) ) os. system ('mkdir { } '. format ( config. temp _ csv _ path ) ) os. system ('mkdir { } '. format ( config. log _ path ) ) os. system ('mkdir { } '. format ( config. prediction _ csv _ path ) )
[ -0.12104518711566925, 0.1133430227637291, 0.3917762339115143, 0.5420877933502197, 0.7794028520584106, 1.1975054740905762, 0.8139628767967224, 0.03597131744027138, -0.8272045254707336, -0.5019048452377319, -0.31418997049331665, -0.34406039118766785, 0.4890264570713043, 0.6469091773033142, ...
def test _ import _ partial ( self ) : file _ path = os. path. join ( tests _ dir,'contingencies _ partial. xlsx') contingency _ data = testmodule. importcontingencies ( pth = file _ path ) self. asserttrue ( len ( contingency _ data. circuits ) = = 3 ) self. asserttrue ( len ( contingency _ data. tx2 ) = = 2 ) self. a...
[ 1.0965944528579712, -0.4598202109336853, 0.6104296445846558, -0.7203627228736877, 0.15319667756557465, 0.9527381658554077, 0.6380211114883423, 0.1386292576789856, 0.3114933669567108, -0.19594793021678925, -1.280631422996521, -0.015967611223459244, -1.0078915357589722, -0.6167146563529968, ...
def find _ runlist ( r _ list, missing _ days, lmd ) : if lmd = = 1 : return r _ list else : if ( missing _ days [ 1 ] - missing _ days [ 0 ] ) = = 1 : r _ list. append ( 1 ) else : r _ list. append ( 0 ) return find _ runlist ( r _ list, missing _ days [ 1 : ], lmd - 1 )
[ -0.8581172823905945, 0.21698038280010223, 0.6308459639549255, 0.5642158389091492, 0.0893036425113678, 0.45777761936187744, -0.092613585293293, 0.36181047558784485, 0.2030433863401413, 0.3110508918762207, 0.08312275260686874, 0.5838082432746887, -0.5432776808738708, 1.4030872583389282, 0....
def my _ input _ fn ( features, targets, batch _ size = 1, shuffle = true, num _ epochs = none ) : # convert pandas data into a dict of np arrays. # here we only has 1 feature, so the dict has single key ` total _ rooms ` with value is an np array features = { key : np. array ( value ) for key, value in dict ( features...
[ -0.7510808706283569, 0.07203454524278641, 0.533149778842926, 0.45310330390930176, -0.45231667160987854, -0.7098500728607178, 0.03763291612267494, 0.8294064998626709, -0.2879224121570587, -0.7652272582054138, -0.05990762263536453, 0.7093061208724976, 0.7222949862480164, -0.8327873945236206,...
def _ attach ( self, p, t1, t2 ) : node = self. _ validate ( p ) if not self. is _ leaf ( p ) : raise valueerror ('position must be a leaf') if not type ( self ) is type ( t1 ) is type ( t2 ) : raise typeerror ('tree types must match') self. _ size + = len ( t1 ) + len ( t2 ) if not t1. is _ empty ( ) : t1. _ root. _ p...
[ -0.09317038953304291, -0.04353158175945282, 0.47626131772994995, -0.7300507426261902, -0.20888984203338623, 0.9962461590766907, -0.46346989274024963, -0.14775311946868896, -0.9579031467437744, 0.4006805717945099, -0.2977035343647003, 0.13307932019233704, -0.2720405161380768, 0.175379499793...
def vox _ ngrp _ content ( node _ id : int, child _ node _ ids : list [ int ] ) - > bytes : w = bytearray ( ) w. extend ( struct. pack ('< i ', node _ id ) ) w. extend ( vox _ dict ( [ ] ) ) w. extend ( struct. pack ('< i ', len ( child _ node _ ids ) ) ) for child _ node _ id in child _ node _ ids : w. extend ( struct...
[ -0.008486829698085785, 0.18860873579978943, 0.4467623829841614, -1.0963549613952637, 0.015933800488710403, -0.18929240107536316, -1.0507384538650513, -0.9922059774398804, -1.2152212858200073, 0.7687291502952576, -0.003149176947772503, -0.013620206154882908, -0.9241775870323181, -0.51311153...
def test _ naive _ multiset _ and _ prefix _ based _ multiset _ equivalent ( samples ) : multiset _ 1 = naivemultiset ( ) multiset _ 2 = prefixtreemultiset ( ) for s in samples : s = tuple ( s ) multiset _ 1. add ( s ) multiset _ 2. add ( s ) multiset _ 3 = readonlyprefixtreemultiset ( { multiset _ 2. _ node, multiset ...
[ 0.3468092679977417, -0.45398253202438354, 0.6625741124153137, -0.10155560821294785, -0.5278357863426208, -0.11416837573051453, -0.06122107803821564, -0.2051216959953308, 0.7708092331886292, 0.08687111735343933, -0.4189305901527405, -0.08772058039903641, 0.2706647515296936, 0.15289358794689...
def select _ feature ( self ) : feat = { } imps = { } for f in self. x : feat [ f ] = self. split ( self. x. ix [ :, f ] ) imps [ f ] = feat [ f ] [ 0 ] self. feature _ name = min ( imps, key = imps. get ) self. categorical = feat [ self. feature _ name ] [ 3 ] # if the variable is categorical, the 4th element is true....
[ -0.12077300250530243, -0.3116922378540039, 0.2847059965133667, 0.34080928564071655, 0.7451147437095642, -0.8703206181526184, -0.055195923894643784, 0.6387217044830322, -0.8612060546875, -0.24425087869167328, -0.5913456082344055, 0.9856358766555786, 0.11277689784765244, 0.004821557085961103...
def download _ dir ( self ) : self. driver. command _ executor. _ commands [ " send _ command " ] = ( " post ",'/ session / $ sessionid / chromium / send _ command') params = {'cmd':'page. setdownloadbehavior ','params': {'behavior':'allow ','downloadpath': self. dir _ download } } command _ result = self. driver. exec...
[ -0.39046189188957214, -0.26245275139808655, 0.538541316986084, 0.6907549500465393, 1.1045920848846436, -0.11706890165805817, 0.7186979055404663, -0.2146342694759369, 0.37671130895614624, -0.2876623868942261, 0.5305309295654297, 1.1741009950637817, -0.4449406564235687, 0.7620410323143005, ...
def get _ lengths ( input _ list ) : # yield the length of a string for person in input _ list : yield len ( person )
[ 0.4365870952606201, -0.10379858314990997, 0.29076817631721497, -0.2995980381965637, 0.3840152621269226, 0.706680417060852, -0.6134582161903381, 1.071484923362732, 0.09942136704921722, -0.3810214400291443, -0.802732527256012, -0.6119402050971985, -0.49776753783226013, 0.7938453555107117, ...
def add _ item ( request ) : if request. user. is _ stylist = ='yes': if request. method = ='get': return render ( request,'stylist / bill / add _ item _ form. html') if request. method = ='post': if'custom'in request. post : appointment = appointment. objects. get ( pk = request. session ['appointment _ for _ bill'] )...
[ -0.24389244616031647, 0.22733189165592194, 0.7288495302200317, 0.9585344791412354, -0.2757985591888428, 1.692039132118225, -0.43996161222457886, 0.6276800036430359, -0.02873358316719532, 0.1997891217470169, 0.029549110680818558, 0.011079186573624611, -0.2313682585954666, 0.5946529507637024...
def addcommand ( self, cmd, newstage = false ) : stage = 1 idn = 1 if len ( self. _ _ cmds ) > 0 : lastcmd = self. _ _ cmds [ - 1 ] idn = lastcmd. jobid ( ) + 1 stage = lastcmd. stage ( ) if newstage : stage = stage + 1 cmd. setstage ( stage ) cmd. setjobid ( idn ) self. _ _ cmds. append ( cmd )
[ -0.7665613889694214, -0.3759024143218994, 0.764200747013092, 0.5723492503166199, -0.3130975365638733, 0.31892937421798706, 0.412095844745636, 0.006190510932356119, 0.681483805179596, -1.17366623878479, -0.07870958000421524, 0.03030947409570217, -0.35170915722846985, 1.4028292894363403, 0...
def _ check _ event _ state ( event _ state : str ) - > bool : return event _ state. lower ( ) = ='alerting '
[ 0.36892402172088623, -0.31536349654197693, 0.4710323214530945, 0.42016109824180603, -0.31565648317337036, 0.5894620418548584, -0.6344971656799316, 0.056063756346702576, 0.5182109475135803, 0.5828567743301392, 0.5259032845497131, 0.6701253652572632, 0.19196242094039917, -0.24788884818553925...
def _ _ call _ _ ( self, inputs, state, scope = none ) : with tf. variable _ scope ( scope or type ( self ). _ _ name _ _ ) : # " basiclstmcell " # parameters of gates are concatenated into one multiply for efficiency. c, h = tf. split ( state, 2, axis = 1 ) concat = self. _ linear ( [ inputs, h ], 4 * self. _ num _ un...
[ 0.3946625590324402, -0.10005120187997818, 0.5672638416290283, -0.11697819828987122, -0.32850900292396545, -0.1297360509634018, -0.2690829336643219, -0.43079912662506104, -0.7860491871833801, 0.8687292337417603, -0.6573286056518555, 0.3482596278190613, 0.22149187326431274, -0.22987942397594...
def set _ granularity ( self, granularity ) : assert ( granularity is none ) or ( is _ int ( granularity ) and ( granularity > = 0 ) ), " argument'granularity'should be none or positive integer " self. granularity = granularity
[ -0.25321513414382935, 0.4238892197608948, 0.7224141955375671, 0.7326071262359619, 0.8116828203201294, 0.6056550741195679, 0.4413551390171051, 0.3492773175239563, 0.022552065551280975, 0.5910388827323914, 0.6943831443786621, 0.861750602722168, -0.924799919128418, 0.7450383901596069, 0.953...
def kinit ( user, pswd, realm ) : try : errors = [ ] client = salt. client. localclient ( ) cmd _ to _ run ='echo " % s " | kinit % s @ % s'% ( pswd, user, realm. upper ( ) ) print'running % s'% cmd _ to _ run r1 = client. cmd ('* ','cmd. run _ all ', [ cmd _ to _ run ] ) print r1 if r1 : for node, ret in r1. items ( )...
[ -0.04840580374002457, 0.11625844240188599, 0.7644748687744141, 0.2547244131565094, 0.19366738200187683, 0.4647349417209625, -0.5101714134216309, -0.670129120349884, -1.103607416152954, 0.3782087564468384, -0.04800577834248543, 0.8860511183738708, -0.5783718824386597, 0.655727207660675, -...
def jstimestamp _ to _ int ( v ) : if not is _ intstr ( v ) : raise valueerror ('deadline is invalid value') # don't care about ms return int ( v [ : - 3 ] )
[ -0.12031088769435883, -0.45246949791908264, 0.589966893196106, -0.7779052257537842, -0.7683669328689575, 0.1012379452586174, -0.010352732613682747, -0.3775053322315216, 0.5325560569763184, 0.94492506980896, -0.6012725830078125, -0.17067693173885345, 0.24432086944580078, -0.6493478417396545...
def _ query ( self, query, args, conn = none, thread _ state = none ) : if not conn : conn = thread _ state cursor = conn. cursor ( ) cursor. execute ( query, args ) rows = cursor. fetchall ( ) cursor. close ( ) return rows
[ 0.4118613302707672, 0.0003428490599617362, 0.5846476554870605, 0.08806929737329483, 0.46524927020072937, -0.5365403890609741, -1.4511483907699585, 0.5092688798904419, 0.051894061267375946, 0.4105253219604492, 1.110512375831604, -0.9285750389099121, -0.39924606680870056, 0.1923571079969406,...
def get _ expression _ manifest ( tcga _ id ) : payload = { " filters " : json. dumps ( { " op " : " and ", " content " : [ { " op " : " in ", " content " : { " field " : " cases. project. program. name ", " value " : [ " tcga " ] } }, { " op " : " in ", " content " : { " field " : " cases. project. project _ id ", " v...
[ -0.5029334425926208, 0.3265877366065979, 0.4270615875720978, -0.6656686663627625, -0.20242759585380554, -1.0262885093688965, -0.01403384655714035, -0.005625430028885603, -0.2469150722026825, 0.7197058796882629, 0.4428228735923767, 0.47617509961128235, 0.048717398196458817, 0.74882453680038...
def manhattandistance ( x1, y1, x2, y2 ) : return abs ( x1 - x2 ) + abs ( y1 - y2 )
[ 0.18080705404281616, -1.3763469457626343, 0.7637498378753662, 0.34678712487220764, -0.6759411692619324, 0.7453567981719971, -1.634204387664795, 0.2791823148727417, -0.9130352735519409, 0.5696026682853699, -0.12156736850738525, 0.4529024362564087, 0.9313756227493286, -0.09308469295501709, ...
def load _ file ( self, path ) : with open ( path, " rt " ) as pgm _ file : return self. eval ( pgm _ file. read ( ) )
[ -0.15850570797920227, -0.4545806050300598, 0.45501574873924255, -1.2617647647857666, -0.4122958183288574, 0.687199056148529, -0.5761958360671997, 0.04712947458028793, -2.001143217086792, -0.20813818275928497, 0.0006400942802429199, -0.45790085196495056, -0.767680823802948, -0.9306524991989...
def _ _ init _ _ ( self, canvas, axes, spec, specres, detns, line _ lists, par, lflag _ color, slit = 0, spatid ='0 ', wv _ calib = none, pxtoler = none, specname = " ", y _ log = true, rescale _ resid = false ) : # store the axes self. axes = axes # initialise the spectrum properties self. spec = spec self. specres = ...
[ 1.5497407913208008, -0.7452526688575745, 0.7594506144523621, -0.1715836375951767, -0.22909632325172424, 0.28557294607162476, -0.2133939564228058, 0.24410198628902435, 0.5374534726142883, -1.023959755897522, -0.24286116659641266, 0.03152165189385414, 0.016294924542307854, 0.6341220140457153...
def coerce _ numeric ( arr ) : # already numeric type if np. issubdtype ( arr. dtype, np. number ) : return arr # numpy datetime64 format if np. issubdtype ( arr. dtype, np. datetime64 ) : return arr # convert booleans to integers if np. issubdtype ( arr. dtype, np. bool _ ) : return arr. astype ( int ) # a string dtyp...
[ -0.22770175337791443, -0.03191109374165535, 0.9008840918540955, 1.0419584512710571, 0.24682706594467163, 0.04225604608654976, -0.4417073428630829, -1.0575149059295654, 0.590337336063385, 0.28181955218315125, 0.3594147264957428, 0.9076809287071228, 0.13732147216796875, 0.7292497754096985, ...
def _ base _ dist ( self, * args, * * kwargs ) : mix = kwargs. pop ( " mix " ) return tfd. mixture ( cat = tfd. categorical ( probs = [ mix, 1. 0 - mix ] ), components = [ tfd. deterministic ( 0. 0 ), tfd. negativebinomial ( * args, * * kwargs ) ], name = " zeroinflatednegativebinomial ", )
[ 0.4011429250240326, -0.881363570690155, 0.5594532489776611, 0.19027091562747955, 0.4653458595275879, 0.7804452180862427, -0.04326252266764641, 0.21574173867702484, -0.0007169099990278482, -0.7371926307678223, 0.21080604195594788, 0.12337753176689148, -0.7493209838867188, 0.2646562755107879...
def update ( self, leaf _ value ) : self. _ n _ visits + = 1 # update visit count self. _ q + = 1. 0 * ( leaf _ value - self. _ q ) / self. _ n _ visits # update q, a running average of values for all visits. # there is just : ( v - q ) / ( n + 1 ) + q = ( v - q + ( n + 1 ) * q ) / ( n + 1 ) = ( v + n * q ) / ( n + 1 )
[ -0.0786949023604393, -0.48608943819999695, 0.4737931489944458, 0.4837193787097931, -0.7296631932258606, 0.11415427178144455, 0.18471232056617737, -0.39900651574134827, -0.11448593437671661, -0.110033318400383, 0.5971890687942505, 0.32021385431289673, 0.531008780002594, 0.525896430015564, ...
def get _ now ( format = " % d % m % y _ % h % m % s " ) : return datetime. now ( ). strftime ( format )
[ -0.8202357292175293, -0.27137991786003113, 0.733250081539154, -0.5616360902786255, -0.6492632031440735, -0.3209841847419739, -1.342846155166626, -0.45691680908203125, -1.0600677728652954, 0.14939595758914948, -0.02092983014881611, 0.19375604391098022, 0.5013025403022766, -0.132269933819770...
def generate _ submit _ button _ submit _ template ( specifics : dict, placeholders : dict, data : dataframe, element _ attrs : dict, * * kwargs ) - > dict : template = generate _ generic _ template ( specifics = specifics, placeholders = placeholders ) button _ name = template ['source'] parent _ name = '. '. join ( b...
[ -0.6364185214042664, 0.20391890406608582, 0.6845350861549377, -0.15106193721294403, -0.4947868585586548, 0.2821179926395416, -0.46509504318237305, 0.17550259828567505, -0.22114893794059753, 0.7024659514427185, -0.5956701040267944, 0.41252878308296204, 0.6428515315055847, 0.1021001636981964...
def greater ( a, b ) : return 1 if a > b else 0
[ -0.7698464393615723, 0.47676998376846313, 0.5851312875747681, 0.5170813202857971, 0.17911402881145477, 0.7633612155914307, -0.7741759419441223, -0.22080668807029724, -1.5512527227401733, -0.6269088983535767, 0.4753308594226837, 0.4300467073917389, 0.5549591779708862, 0.5184473991394043, ...
def basic _ transfer ( self, destination, payment _ id = none ) : d = destination. format _ to _ send ( ) cmd = { " destinations " : [ d ], " mixin " : 4, " unlock _ time " : 0, " priority " : 1, " get _ tx _ hex " : true, " get _ tx _ key " : true } if payment _ id : cmd [ " payment _ id " ] = payment _ id try : fee, ...
[ -0.2605685293674469, 0.43396106362342834, 0.7767396569252014, 0.5666413903236389, -0.16167031228542328, -0.6014269590377808, -1.107232928276062, -0.39299219846725464, -0.3061276972293854, 0.6313852667808533, -0.41769152879714966, 0.017244763672351837, -0.028908738866448402, -0.005962373223...
def generate _ smb _ conf ( ) : try : d, err = cifs _ utils. get _ auth _ settings ( ) if err : raise exception ( err ) smb _ conf _ path, err = config. get _ smb _ conf _ path ( ) if err : raise exception ( err ) config _ dir, err = config. get _ config _ dir ( ) if err : raise exception ( err ) # for customer specifi...
[ 0.31284967064857483, 0.22628742456436157, 0.8866837024688721, 1.2069931030273438, -0.029207177460193634, 0.4980028569698334, 1.2616232633590698, 0.7879001498222351, -0.5398765802383423, 0.998752772808075, -0.8820037245750427, 0.230364128947258, -0.4143825173377991, 0.8741430044174194, 0....
def step ( self, action : int ) : assert self. action _ space. contains ( action ) assert not self. done action _ offsets = [ ( 0, - 1 ), ( 1, 0 ), ( 0, 1 ), ( - 1, 0 ), ( 0, 0 ) ] self. last _ position = self. position next _ place = self. position if self. _ exists _ offset ( self. position, action _ offsets [ action...
[ -1.1296324729919434, -0.04533948004245758, 0.6209811568260193, -0.2753177881240845, 0.014771734364330769, -0.4636966586112976, 0.36816245317459106, -0.13689281046390533, -0.2253125160932541, 0.22385954856872559, -0.4822598397731781, -0.5010823607444763, -0.17016127705574036, 0.310166239738...
def get _ public _ data _ folder ( form, subfolder _ tag ) : dir _ list = _ get _ dir _ structure ( os. path. join ( settings. data _ dir,'downloadable'), form ) return dir _ list [ subfolder _ tag ]
[ 0.21997076272964478, 0.3534916341304779, 0.3904475271701813, -0.2955268621444702, -0.40257030725479126, 0.6101400256156921, 0.20726993680000305, -0.1272890716791153, -0.7435093522071838, -1.3647520542144775, -0.1966789960861206, 0.8204951882362366, 0.5440098643302917, 0.7269551157951355, ...