text stringlengths 25 2.19k | embedding listlengths 768 768 |
|---|---|
def where ( currid ) : send _ string = " where { } ". format ( currid ) server _ socket. send ( send _ string. encode ('utf - 8') ) recv _ string = server _ socket. recv ( 1024 ) data = recv _ string. decode ('utf - 8'). split ( ) return ( data [ 1 ], int ( data [ 2 ] ), int ( data [ 3 ] ) ) | [
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def _ run _ search ( self, query _ results, old _ items ) : # scan search results object to produce a dataframe of all item details that match criteria items = self. _ get _ all _ item _ details ( query _ results ) # filter only new rows new _ items = self. _ filter _ new _ rows _ only ( items, old _ items ) # print it... | [
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def getdatwithdefault ( self, * args ) : return _ snap. tinth _ getdatwithdefault ( self, * args ) | [
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def concat _ df _ from _ list ( dir _ list ) : return map ( concat _ df, dir _ list ) | [
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def test _ model _ backup _ loading ( shapes _ image _ size, shapes _ sample _ config, shapes _ temp _ dir ) : config = read _ config ( shapes _ sample _ config ) label _ ids = [ x [ " id " ] for x in config [ " labels " ] if x [ " is _ evaluate " ] ] cnn = featuredetectionnetwork ( " test ", image _ size = shapes _ im... | [
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def pick ( imagefile, labels ) : pygame. init ( ) # load the image. img = pygame. image. load ( imagefile ) imgsize = img. get _ size ( ) # determine the largest integer scale factor so that the image will still # fit the screen. info = pygame. display. info ( ) scalefactor = min ( info. current _ w / imgsize [ 0 ], \ ... | [
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def bokeh _ pr _ curve _ raw ( precision : iterable [ float ], recall : iterable [ float ], threshold : list [ float ], fig : figure = none, color : str ='blue ', legend = none ) - > layoutdom : if fig is none : hover = hovertool ( tooltips = [ ('recall ', " $ x { % 0. 2f } " ), ('precision ', " $ y { % 0. 2f } " ), ('... | [
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def _ _ eq _ _ ( self, * args ) : return _ snap. tintstrvhi _ _ _ eq _ _ ( self, * args ) | [
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def test _ julian _ date _ matches _ vallado ( ) : # test using example in vallado pp. 194 y, mo, d, h, m, s = 1992, 8, 20, 12, 14, 0 jd _ ut1 = astrodynamics2. ymdhms2jd ( y, mo, d, h, m, s ) expected _ jd = 2448855. 009722 # should be 2448855. 009722 " % ( jd _ ut1 ) assert abs ( jd _ ut1 - expected _ jd ) <. 000001 | [
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def adddata ( self, other, index ) : # check that it is a legal assignment # aligned and within bounds assert self. xdim % other. xdim = = 0 assert self. ydim % other. ydim = = 0 assert self. zdim % other. zdim = = 0 assert ( index [ 0 ] + 1 ) * other. xdim < = self. xdim assert ( index [ 1 ] + 1 ) * other. ydim < = se... | [
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def getintrowidxbyval ( self, * args ) : return _ snap. ptable _ getintrowidxbyval ( self, * args ) | [
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def _ _ eq _ _ ( self, * args ) : return _ snap. tintflttrhi _ _ _ eq _ _ ( self, * args ) | [
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def safebridgedestroy ( bridge ) : try : bridge. destroy ( ) except requests. httperror as e : if e. response. status _ code! = requests. codes. not _ found : raise e | [
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def writer ( self, textwriter ) : return self. _ writer ( textwriter, self. delimwrite ) | [
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def readdata ( filename ) : # define column names colnames = ['agency _ cd ','site _ no ','date ','discharge ','quality'] # open and read the file datadf = pd. read _ csv ( filename, header = 1, names = colnames, delimiter = r " \ s + ", parse _ dates = [ 2 ], comment ='# ', na _ values = ['eqp'] ) datadf = datadf. set... | [
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def replace _ driver ( self, obj : hlsnetnodeout ) : assert self. replaced _ by is none, ( self, self. replaced _ by ) # replace original hlsnetnodeoutlazy to a resolved value self. original _ lazy _ out. replace _ driver ( obj ) # replace self to a final value for k in self. keys _ of _ self _ in _ cache : self. op _ ... | [
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def word _ play ( self ) : print ( " user input was : " + self. the _ words ) | [
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def example _ 4 ( ) : x : list [ int ] = [ 1, 3, 4, 5 ] x0 = 10 minus = lambda a, b : a - b minus. _ _ name _ _ = " - " res1 = fold ( x, minus, x0, foldr = false, debug = true ) print ( f " fold ( { x }, { minus. _ _ name _ _ }, { x0 }, foldr = { false } ) = { res1 } " ) res2 = fold ( x, minus, x0, foldr = true, debug ... | [
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def strtobool ( val ) : true _ vals = ['yes ','y ','' ] false _ vals = ['no ','n'] try : val = val. lower ( ) except attributeerror : val = str ( val ). lower ( ) if val in true _ vals : return true elif val in false _ vals : return false else : raise valueerror ( " invalid input value : % s " % val ) | [
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def simulate _ psd _ cython _ 2 ( ) : # input # norm = sim _ input ['norm'] dt = sim _ input ['dt'] psdpar = sim _ input ['psdpar'] inorm = 0 if norm = ='var'else 1 if norm = ='leahy'else 2 sims = [ ] for isim in range ( 1, args. nsim + 1 ) : az. misc. print _ progress ( isim, args. nsim + 1, isim = = args. nsim ) # si... | [
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def run _ pipeline ( self, pipln ) : assert pipln in ['incl _ outl ','excl _ sse _ outl ','excl _ outl ','excl _ outl _ tothemax'] self. pipeline _ run = pipln # record for later object introspection # define colours to print headings and clear terminal screen header _ style ='\ x1b [ 0 ; 30 ; 46m'bold _ style ='\ x1b ... | [
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def get _ loss ( self, batch _ samples, batch _ labels = none, per _ point = true ) : pass | [
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def test _ stack _ miscabling ( self ) : stack _ port = self. valve. dp. ports [ 1 ] other _ dp = self. valves _ manager. valves [ 2 ]. dp other _ port = other _ dp. ports [ 1 ] wrong _ port = other _ dp. ports [ 2 ] wrong _ dp = self. valves _ manager. valves [ 3 ]. dp other _ valves = self. valves _ manager. _ other ... | [
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def is _ auto _ steering _ wheel _ heat ( self ) - > bool : return self. _ vehicle _ data. get ( " climate _ state ", { } ). get ( " auto _ steering _ wheel _ heat " ) | [
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def parse _ args ( self, * args, * * kwargs ) - > optionstype : namespace = super ( ). parse _ args ( * args, * * kwargs ) ns _ dict = vars ( namespace ) self. _ handle _ empty _ posarg ( ns _ dict ) self. _ handle _ missing ( ns _ dict ) self. _ handle _ dicts ( ns _ dict ) return self. _ options _ type ( * * ns _ dic... | [
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def reverse ( self, * args ) : return _ snap. tstrintprv _ reverse ( self, * args ) | [
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def infer ( self ) : raise exception ('needs to be implemented') | [
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def test _ tagged _ entries ( self ) : response = self. client. get ('/ tag / tests /') self. assertcontains ( response, self. text _ entry. rendered _ content, status _ code = 200 ) response = self. client. get ('/ tag / programming /') self. assertnotcontains ( response, self. text _ entry. rendered _ content, status... | [
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def _ _ init _ _ ( self, * args ) : _ snap. tuch _ swiginit ( self, _ snap. new _ tuch ( * args ) ) | [
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def create _ dialog _ buttons ( self ) : self. save _ button = qtwidgets. qpushbutton ( " save ", self ) self. save _ button. setobjectname ( " save _ button " ) self. cancel _ button = qtwidgets. qpushbutton ( " cancel ", self ) self. cancel _ button. setobjectname ( " cancel _ button " ) self. set _ dialog _ buttons ... | [
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def test _ companies _ company _ id _ connections _ connection _ id _ data _ commerce _ orders _ get ( self ) : pass | [
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def write _ header ( self, number _ simulations : int, output _ ids : list [ str ], projection _ dates : list [ datetime ], annualisation _ factor : float ) : self. _ writer. seek ( self. _ header _ start _ position ) number _ outputs = len ( output _ ids ) number _ projection _ dates = len ( projection _ dates ) self.... | [
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def hasflag ( self, * args ) : return _ snap. tungraph _ hasflag ( self, * args ) | [
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def read _ from _ serial ( ) : # let's first initialise the connect with serial library serial _ connection _ to _ esp8266 = serial. serial ( get _ esp8266 _ serial _ port ( ), esp8266 _ brad _ rate ) weather _ readings _ array = [ ] # this function must run a while loop and break in the'] ]'character is found while tr... | [
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def get _ form ( self, model, * args, * * kwargs ) : form = modelform _ factory ( model, exclude = ['owner ','order ','created ','updated'] ) return form ( * args, * * kwargs ) | [
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def partial _ fit _ transform ( self, array : np. ndarray ) - > np. ndarray : self. partial _ fit ( array ) return self. transform ( array ) | [
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def getpivotvaln ( self, * args ) : return _ snap. tfltv _ getpivotvaln ( self, * args ) | [
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def summary ( self, raw ) : return {'meme _ generators': raw ['meme _ generators'],'meme _ instances': raw ['meme _ instances'] } | [
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def loop _ gif ( self, image ) : file _ start _ time = time. time ( ) # determine how to size and center image on the matrix, # maintaining the aspect ratio ( approximately, due to resolution ). matrix _ aspect = float ( self. matrix. width ) / float ( self. matrix. height ) image _ aspect = float ( image. width ) / fl... | [
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def sample _ demerit ( self, stage : int, epsilons : np. ndarray, weights : np. ndarray ) - > float : return self. _ demerit _ fct ( stage, epsilons, weights ) | [
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def _ _ isub _ _ ( self, * args ) : return _ snap. tuint64 _ _ _ isub _ _ ( self, * args ) | [
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def _ _ init _ _ ( self, id, s3 _ data _ dir = none, s3 _ log _ dir = none, s3 _ source _ dir = none, schedule = none, resource = none, worker _ group = none, input _ node = none, input _ path = none, required _ steps = none, max _ retries = max _ retries, sns _ object = none, sns _ success _ object = none, sns _ onlat... | [
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def month _ timestamp ( ts ) : k = list ( ) for t in ts : k. append ( t. month ) return np. array ( k ) | [
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def defrag ( self, onlynodelinks = false ) : return _ snap. pngraphmp _ defrag ( self, onlynodelinks ) | [
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def _ _ init _ _ ( self, status = none, expiration _ date = none, lockout _ reset = none, first _ login _ failure = none, login _ failures _ reset = none, login _ failures = none, credential _ type = none, user _ id = none, credential _ key = none, type = none, optlock = none, entity _ attributes = none, entity _ prope... | [
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def test _ atomic _ base64 _ binary _ length _ 1 _ nistxml _ sv _ iv _ atomic _ base64 _ binary _ length _ 2 _ 3 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / base64binary / schema + instance / nistschema - sv - iv - atomic - base64binary - length - 2. xsd ", instance = "... | [
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def parse _ arguments ( ) : parser = argparse. argumentparser ( description = " distributed slsh " ) # general arguments. parser. add _ argument ( " role ", type = str, choices = ['node ','orchestrator'], help = " specifies whether to run the orchestrator or a node " ) parser. add _ argument ( " - - task ", type = str,... | [
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1... |
def name ( self ) : return self. config. get ('name') or f " { self. id. replace ('_ ','' ). title ( ) } " | [
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def isstrattrdeletedn ( self, * args ) : return _ snap. tneanet _ isstrattrdeletedn ( self, * args ) | [
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def register ( name, description, artefact, endpoint ) : # we need the endpoint name and class in order to re - create an endpoint endpoint _ name = endpoint. _ endpoint _ config _ name endpoint _ class = endpoint. _ _ class _ _. _ _ name _ _ temp = { " name " : name, " description " : description, " artefact " : artef... | [
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def is _ hpo _ enabled ( ) : hpo _ enabled = false if " job _ level " in config and \ " run _ hyperparameter _ opt " in config [ " job _ level " ] : run _ hpo _ config = config [ " job _ level " ] [ " run _ hyperparameter _ opt " ] if run _ hpo _ config. lower ( ) = = " yes " : hpo _ enabled = true return hpo _ enabled | [
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def calibrate _ click ( rgb1, depth1, rgb2, depth2 ) : points1 = get _ click _ points ( rgb1, depth1 ) points2 = get _ click _ points ( rgb2, depth2 ) return find _ rigid _ tfm ( points1, points2 ) | [
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def check _ bool _ expr _ is _ true ( bool _ expr, vranges, cond = none ) : if cond is not none : bool _ expr = tvm. te. any ( tvm. tir. not ( cond ), bool _ expr ) def _ run _ expr ( expr, vranges ) : " " " evaluate expr for every value of free variables given by vranges and return the tensor of results. " " " def _ c... | [
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def get _ config _ root ( ) : home = os. getenv ( " home " ) config _ root = home +'/. dbmarshal'if not os. path. isdir ( config _ root ) : os. makedirs ( config _ root ) return config _ root | [
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def test _ sync _ ahead ( synced _ repo _ and _ workspace ) : data = synced _ repo _ and _ workspace # commit file in workspace helpers. write _ and _ commit ( data [ " dest _ repo " ], " output. txt " ) result = clirunner ( ). invoke ( metarepo. cli. cli, [ " sync " ] ) assert result. exit _ code = = 1 | [
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def _ generatename ( self, n = 8 ) : return u''. join ( itertools. islice ( self. _ chain, n ) ) | [
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def wx _ 3 _ klikniecie _ w _ poj _ kom ( self, evt ) : # wykrywa ze kliknalem jedno cells = self. grid. getselectedcells ( ) if not cells : if self. grid. getselectionblocktopleft ( ) : top _ left = self. grid. getselectionblocktopleft ( ) [ 0 ] bottom _ right = self. grid. getselectionblockbottomright ( ) [ 0 ] self.... | [
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def load ( self ) : # logger. info ('loading data from { } '. format ( self. path ) ) self. data = [ inst for inst in self. parser. parse ( self. path ) ] | [
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def stop ( self ) : self. _ process. terminate ( ) if os. name = ='nt': return t = threading. thread ( target = self. _ process. wait ) t. start ( ) t. join ( 1 ) if self. _ process. returncode is none : self. _ process. kill ( ) self. _ process. wait ( ) | [
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def is _ successful ( self ) - > bool : return self. execution _ status = = edwqueryexecutionstatus. successful | [
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def _ _ lt _ _ ( self, * args ) : return _ snap. tngraphmpnodei _ _ _ lt _ _ ( self, * args ) | [
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def merge ( self, test _ case _ container : testcaseinteractioncontainer ) : self. http _ interactions + = test _ case _ container. http _ interactions | [
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def brokertech _ fob _ download ( self, download = true ) : if download : self. download _ data ('nexbrokertecfob') | [
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def maxcpgreedybetter ( * args ) : return _ snap. maxcpgreedybetter ( * args ) | [
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def getrndni ( self, * args ) : return _ snap. tdirnet _ getrndni ( self, * args ) | [
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def draw _ racing _ line ( self ) : for j in range ( len ( self. race _ line _ points ) ) : pygame. draw. line ( screen,'blue ', self. race _ line _ points [ j - 1 ], self. race _ line _ points [ j ], 1 ) | [
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def remove _ intersecting _ edges ( g ) : edges _ to _ rem = [ ] edges = g. edges ( ) for i in xrange ( len ( edges ) ) : u1, v1 = edges [ i ] u1 _ x = g. node [ u1 ] ['x'] u1 _ y = g. node [ u1 ] ['y'] v1 _ x = g. node [ v1 ] ['x'] v1 _ y = g. node [ v1 ] ['y'] u1 _ vec = [ u1 _ x, u1 _ y ] v1 _ vec = [ v1 _ x, v1 _ y... | [
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def event _ type ( self, event _ type ) : allowed _ values = [ " job _ aborted ", " unmasked _ data ", " masking _ fallback " ] # noqa : e501 if event _ type not in allowed _ values : raise valueerror ( " invalid value for ` event _ type ` ( { 0 } ), must be one of { 1 } " # noqa : e501. format ( event _ type, allowed ... | [
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... |
def test _ signal _ processor _ creates _ entry _ db ( self ) : # check action _ type after created object ( loaded fixtures ) is 0 note = notemodel. objects. get ( model ='contact') self. assertequal ( note. action _ type, 0 ) # check action _ type after change object is 1 person = contact. objects. first ( ) person. ... | [
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0.9156315326690674,
... |
def quantize _ model ( output _ graph _ file, test _ data, input _ holder, output ) : batch = load _ image ( test _ data, input _ holder. shape ) input _ name = input _ holder. name output _ name = output. name with tf. io. gfile. gfile ( output _ graph _ file, mode ='rb') as model : graph _ def = tf. compat. v1. graph... | [
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def recovery _ amount ( self, recovery _ amount ) : self. _ recovery _ amount = recovery _ amount | [
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... |
def update ( self, currentobservation ) : # update the current estimate based on the gain self. estimate = self. estimate + self. gain * ( currentobservation - self. c * self. estimate ) # update the gain based on results from hte previous attempt at estimating invval = self. c * self. errorprediction * np. transpose (... | [
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... |
def new ( * args ) : return _ snap. tmem _ new ( * args ) | [
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def syn _ cnn _ 2 _ z _ x ( z, x ) : cnn = x [ 2 ] chooser = x [ 1 ] [ 0 ] + x [ 1 ] [ 1 ] y1 = x [ 0 ] [ 0 ] y2 = x [ 0 ] [ 1 ] y3 = ( x [ 3 ] - 10. 0 ) / 4 y4 = x [ 4 ] / 100 # compute individual functions a = syn _ func1 _ common ( cnn ) * z [ 0 ] b = _ chooser _ park ( chooser, y1, y2, y3, y4 ) c = _ park ( z [ 0 ]... | [
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def getdescription ( self ) : return self. _ description | [
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... |
def bls _ clean _ allocation _ fba _ w _ sec ( df _ w _ sec, * * kwargs ) : from flowsa. flowbyfunctions import estimate _ suppressed _ data, sector _ disaggregation, sector _ aggregation, \ flow _ by _ activity _ wsec _ mapped _ fields, add _ missing _ flow _ by _ fields, replace _ strings _ with _ nonetype sector _ c... | [
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0.... |
def save _ figures _ as _ pdf ( figures, file _ path ) : if type ( figures ). _ _ name _ _ in [ " list ", " series " ] : pdf = matplotlib. backends. backend _ pdf. pdfpages ( file _ path ) for fig in figures : if not fig. get _ axes ( ) : continue fig. tight _ layout ( ) pdf. savefig ( fig ) pdf. close ( ) return true ... | [
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0.5971311330795288... |
def _ _ init _ _ ( self, master, system, solid, solid _ database, editflag ) : self. master = master self. fonttype = system. fonttype self. version = system. version self. superfont = get _ superfont ( self. fonttype ) # superscript font self. tframe = frame ( master. tframe ) self. frame = frame ( master. frame ) sel... | [
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0.020738007500767708,
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1.13971889019... |
def format _ json ( data ) : return json. dumps ( data, indent = 4 ) | [
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0.7276427149772644,
... |
def provision ( self, count ) : raise notimplementederror ( self. provision ) | [
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0.35380360484... |
def checkaxislimits ( vmin : float, vmax : float, islog : bool = false, name : str = " " ) : min _ = float32 _ minpos if islog else float32 _ safe _ min vmax = numpy. clip ( vmax, min _, float32 _ safe _ max ) vmin = numpy. clip ( vmin, min _, float32 _ safe _ max ) if vmax < vmin : _ logger. debug ('% s axis : max < m... | [
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0.12924058735370636,
0.9945369958877563,
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-0.779560208320617... |
def open _ name _ popup ( self ) : self. dialog = mddialog ( title = " changer de nom : ", type = " custom ", content _ cls = namedialog ( ), buttons = [ mdflatbutton ( text = " annuler ", on _ release = self. dialog _ close ), mdflatbutton ( text = " ok ", on _ release = self. set _ name ), ], size _ hint _ x = 0. 8 )... | [
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0.9474952220916748,
0.43000510334968567,
0.14342060685157776,... |
def getindenter ( indentername, qpart ) : indentername = indentername. lower ( ) if indentername in ('haskell ','lilypond') : # not supported yet logger = logging. getlogger ('qutepart') logger. warning ('smart indentation for % s not supported yet. but you could be a hero who implemented it'% indentername ) from qutep... | [
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def combine _ multiple _ cores ( multiple _ core _ info ) : rad _ mean = np. nanmean ( [ c ['radius'] for c in multiple _ core _ info ], axis = 0 ) flux _ mean = np. nanmean ( [ c ['flux'] for c in multiple _ core _ info ], axis = 0 ) rad _ err = np. nanstd ( [ c ['radius'] for c in multiple _ core _ info ], axis = 0 )... | [
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0.17370404303073883,... |
def sample _ magnitude ( low = 0. 0, high = none, b = 1. 0, size = 1 ) : beta = 2. 30258509 * b # np. log ( 10 * * b ) u = np. random. rand ( size ) if size > 1 else np. random. rand ( ) u * = 1. 0 - np. exp ( - beta * ( high - low ) ) if high is not none else 1. 0 return low - np. log ( 1. 0 - u ) / beta | [
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def test _ view _ url _ edit _ user _ settings _ accessible _ by _ name ( self, client, proto _ user ) : client. login ( username = f " { proto _ user. username } ", password = " m = 9uak ^ c, tbq9n = t ", ) response = client. get ( reverse ( " edit _ user _ settings " ) ) assert response. status _ code = = 200 | [
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-0.3873693346977... |
def addstr ( self, * args ) : return _ snap. tstrpool _ addstr ( self, * args ) | [
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0.535277068614959... |
def addbacksorted ( self, * args ) : return _ snap. tcncomv _ addbacksorted ( self, * args ) | [
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0.8598130941390991,... |
def volume _ restricted _ metadata _ get ( context, volume _ id ) : return impl. volume _ restricted _ metadata _ get ( context, volume _ id ) | [
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... |
def _ _ eq _ _ ( self, * args ) : return _ snap. tungraphnodei _ _ _ eq _ _ ( self, * args ) | [
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... |
def lemmatize ( string ) : wnl = nltk. stem. wordnetlemmatizer ( ) lemmas = [ wnl. lemmatize ( word ) for word in string. split ( ) ] return " ". join ( lemmas ) | [
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0.45071598887443... |
def getneighborsbycrossnet ( self, * args ) : return _ snap. tmodenet _ getneighborsbycrossnet ( self, * args ) | [
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0.... |
def _ _ gt _ _ ( self, other ) : return self. area ( ) > other. area ( ) | [
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def getdegreecentr ( * args ) : return _ snap. getdegreecentr ( * args ) | [
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... |
def sent _ count ( self ) : # work here!! | [
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0.7417418360... |
def check _ repeated _ values ( roman _ string ) : can _ never _ be _ repeated = ('d ','l ','v') can _ be _ repeated = ('i ','x ','c ','m') max _ repeat _ count _ i = 3 max _ repeat _ count _ x = 4 # this can only be repeated for 4 times while it's'xxxix'max _ repeat _ count _ c = 4 # this can only be repeated for 4 ti... | [
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0.3791218101978302,
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-0.2471361756324768... |
def can _ use _ addon ( event, user, addon ) : addons = get _ available _ addons ( event, user ) return addons. filter ( pk = addon. pk ). exists ( ) | [
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-0.... |
def classic _ trainval ( path _ data, df _ type ='spectrogram') : # set and test path to competition data files try : if path _ data = ='insert here': print ('please enter path to competition data files :') path _ data = input ( ) file _ path ='mafat radar challenge - training set v1. csv'with open ( f'{ path _ data } ... | [
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0.3014061450958252,
0.20517899096012115,
0.30869221687316895,
-0.1470874398946... |
def default _ if _ empty ( source, default _ value = none ) - > observablebase : def subscribe ( observer, scheduler = none ) : found = [ false ] def on _ next ( x ) : found [ 0 ] = true observer. on _ next ( x ) def on _ completed ( ) : if not found [ 0 ] : observer. on _ next ( default _ value ) observer. on _ comple... | [
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0.46173778176307... |
def setup ( self ) : self. submitter = domain. user ( 1234, email ='j. user @ somewhere. edu ', forename ='jane ', surname ='user ', endorsements = ['cs. dl'] ) # create and finalize a new submission. cc0 ='http : / / creativecommons. org / publicdomain / zero / 1. 0 /'with self. app. app _ context ( ) : classic. creat... | [
0.44463396072387695,
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0.6554287672042847,
0.16194027662277222,
0.7557668685913086,
0.17977970838546753,
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-0.33638834953308105,
0.09749910980463028,
0.524803102016449,
0.8500496745109558... |
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