text stringlengths 25 2.19k | embedding listlengths 768 768 |
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def teardown ( ) : train _ dir = join ( _ my _ dir,'train') test _ dir = join ( _ my _ dir,'test') output _ dir = join ( _ my _ dir,'output') config _ dir = join ( _ my _ dir,'configs') for suffix in ['learning _ curve ','summary'] : if exists ( join ( train _ dir,'test _ { }. jsonlines '. format ( suffix ) ) ) : os. u... | [
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def upgrade _ plugin _ scale ( self ) : self. show _ step ( 1 ) self. env. revert _ snapshot ( self. snapshot _ name ) self. show _ step ( 2 ) cluster _ id = self. fuel _ web. get _ last _ created _ cluster ( ) slave _ name = " slave - 0 { } ". format ( len ( self. fuel _ web. client. list _ nodes ( ) ) + 1 ) self. env... | [
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def show _ users ( ) : cid = session ['c _ id'] status, info = user. get _ user _ by _ cid ( cid ) ret = { " data " : [ ], " status " : status, " msg " : " " } d = {'root': u " ",'admin': u " ",'user': u " " } if status = = " success " : _ = [ ret ['data']. append ( {'u _ id': i [ 0 ],'u _ name': i [ 1 ], " u _ role " ... | [
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def get _ wceff _ fccc _ std ( wc _ obj, par, qiqj, lep, nu, mqi, scale, nf = 5 ) : qqlnu = qiqj + lep +'nu'+ nu wc = wc _ obj. get _ wc ( qqlnu, scale, par, nf _ out = nf ) if lep = = nu : c _ sm = get _ cvlsm ( par, scale, nf ) else : c _ sm = 0 # sm contribution only for neutrino flavor = lepton flavor c = { } c ['v... | [
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def haversine ( ra1, dec1, ra2, dec2, radius = 1 ) : # convert all necessary input parameters to radians rad _ ra1 = np. pi * ra1 / 180 rad _ ra2 = np. pi * ra2 / 180 rad _ dec1 = np. pi * dec1 / 180 rad _ dec2 = np. pi * dec2 / 180 delta _ ra = abs ( rad _ ra2 - rad _ ra1 ) delta _ dec = abs ( rad _ dec2 - rad _ dec1 ... | [
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def test _ requesting _ free _ class ( self ) : event = baker. make _ recipe ('booking. future _ ev ', cost = 10 ) booking = baker. make _ recipe ('booking. booking ', user = self. user, event = event, paid = false ) bookings = booking. objects. filter ( user = self. user ) self. assertequal ( bookings. count ( ), 1 ) ... | [
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def call ( self, pxo, training ) : point, feat, row _ splits = pxo # ( n, 3 ), ( n, c ), ( b ) identity = feat feat = self. relu ( self. bn1 ( self. linear1 ( feat ), training = training ) ) feat = self. relu ( self. bn2 ( self. transformer2 ( [ point, feat, row _ splits ], training = training ), training = training ) ... | [
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def test _ duplicate _ event _ booking ( self ) : event = baker. make _ recipe ('booking. future _ ev') resp = self. _ get _ duplicate _ booking ( self. user, event ) self. assertin ( event. name, str ( resp. content ) ) poleclass = baker. make _ recipe ('booking. future _ pc') resp = self. _ get _ duplicate _ booking ... | [
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def draw _ waves ( y, n, fi ) : l = screen _ width / n # a length of one wave. r = l / ( 2 * np. sin ( fi / 2 * np. pi / 180 ) ) for i in range ( int ( n ) + 1 ) : if i % 2 = = 0 : circle ( screen, yellow, [ int ( i * l + l / 2 ), int ( y + r * np. cos ( fi / 2 * np. pi / 180 ) ) ], int ( r ) ) else : circle ( screen, ... | [
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def _ _ init _ _ ( self, hass, bridge, name, token, friendly _ name, pin ) : self. name = name self. hass = hass self. unique _ id = bridge. uuid. hex ( ) self. comfoconnect = comfoconnect ( bridge = bridge, local _ uuid = bytes. fromhex ( token ), local _ devicename = friendly _ name, pin = pin, ) self. comfoconnect. ... | [
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def save _ matfile ( self, filepath ) : # write time - dependent internal field model to matfile self. model _ tdep. save _ matfile ( filepath ) if self. coeffs _ delta : # write time - dependent external field model to matfile q10 = self. coeffs _ delta ['q10']. reshape ( ( - 1, 1 ) ) q11 = np. ravel ( self. coeffs _ ... | [
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def get _ virtualmachines ( self, uuid = none, market ='market ', * * kwargs ) : return self. get _ entities ('virtualmachine ', uuid = uuid, market = market, * * kwargs ) | [
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def fixture _ balsamic _ observations _ input _ files _ raw ( case _ id : str, filled _ file : path ) - > dict : return { " snv _ germline _ vcf _ path " : filled _ file, " snv _ vcf _ path " : filled _ file, " sv _ germline _ vcf _ path " : filled _ file, " sv _ vcf _ path " : filled _ file, } | [
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def to _ dict ( self ) : raise notimplementederror | [
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def egress _ only _ gateway _ id ( self ) - > optional [ pulumi. input [ str ] ] : return pulumi. get ( self, " egress _ only _ gateway _ id " ) | [
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def native _ value ( self ) - > float : return self. entity _ description. native _ value _ fn ( self. actuator ) | [
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def _ _ setecolicarbonsourceuptake ( self, carbonsource, carbonuptakerate ) : carbonsource = carbonsource. lower ( ) if carbonsource in'glucose': uptakerxns = ['ex _ glc _ _ d _ e _ reverse'] elif carbonsource in'acetate': uptakerxns = ['ex _ ac _ e _ reverse'] elif carbonsource in'glycerate': uptakerxns = ['ex _ glyc ... | [
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def rate ( framespersecond = 30 ) : # # xxx this is totally wrong, should be tracking last - frame - start # # and deciding how to delay based on that : ( time. sleep ( 1. 0 / framespersecond ) if scene and scene. _ context : scene. _ context. triggerredraw ( 1 ) | [
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def _ _ init _ _ ( self, device, num, * args, * * kwargs ) : # calls _ _ init _ _ from the abstractsubdevice class it inherets from abstractsubdevice. _ _ init _ _ ( self, device, * args, * * kwargs ) self. num = num | [
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def cut ( value, arg ) : return value. replace ( arg,'' ) | [
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def get _ backoff _ time ( self, settings ) : random _ generator = random. random ( ) backoff = self. initial _ backoff + ( 0 if settings ['count'] = = 0 else pow ( self. increment _ base, settings ['count'] ) ) random _ range _ start = backoff - self. random _ jitter _ range if backoff > self. random _ jitter _ range ... | [
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def conv _ model ( ) : input = input ( shape = ( 28, 28, 1 ) ) x = conv2d ( 32, ( 3, 3 ), activation ='relu') ( input ) x = maxpool2d ( ) ( x ) x = conv2d ( 64, ( 3, 3 ), activation ='relu') ( x ) x = maxpool2d ( ) ( x ) x = dropout ( 0. 5 ) ( x ) x = flatten ( ) ( x ) x = dense ( 128, activation ='relu') ( x ) output ... | [
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def compare _ grad ( a, b ) : return relerr ( a, b ), corr ( a, b ) | [
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def ve _ step ( ppm, data, mask, mu, sigma, prior, alpha = 1., beta = 0. 0 ) : lik = np. zeros ( np. shape ( prior ) ) for i in range ( ntissues ) : lik [ :, i ] = prior [ :, i ] * gaussian ( data, mu [ i ], sigma [ i ] ) # normalize x, y, z = mask ppm [ x, y, z ] = lik if beta = = 0. 0 : ppm _ sum = ppm [ mask ]. sum ... | [
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def wait _ until ( self, by, path, * args ) : try : wait = webdriverwait ( self. driver, 10 ) if self. config [ " until " ] = = " click " : _ = wait. until ( ec. element _ to _ be _ clickable ( ( by, path ) ) ) if self. config [ " until " ] = = " present " : _ = wait. until ( ec. presence _ of _ element _ located ( ( b... | [
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def stop ( self ) : self. quit ( ) | [
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def linelist _ update ( self, val ) : val = int ( val ) self. _ slidell. label. set _ text ( " { 0 :. 4f } ". format ( self. _ lines [ val ] ) ) self. _ slideval = val | [
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def add2 ( ) : @ register _ verb ( int, context = context. eval ) def add ( a : int, b : int ) : return a + b return add | [
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def _ get _ coarse _ and _ intervals ( xdiv ) : xcoarse = [ xdiv [ 0 ] ] xsteps = list ( ) dx = xdiv [ 1 ] - xdiv [ 0 ] oldx = xdiv [ 1 ] cnt = 1 for x in xdiv [ 2 : ] : if round ( dx, 5 )! = round ( x - oldx, 5 ) : xcoarse. append ( oldx ) xsteps. append ( cnt ) cnt = 1 dx = x - oldx else : cnt + = 1 oldx = x xcoarse.... | [
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def get _ stock _ news ( stockname ) : all _ news = [ ] query _ url = " https : / / feeds. finance. yahoo. com / rss / 2. 0 / headline? s = { } & region = us & lang = en - us " res = requests. get ( query _ url. format ( stockname ) ) tree = elementtree. fromstring ( res. content ) for child in tree. iter ('item') : ne... | [
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async def get _ payloadtype ( self, payload _ type : union [ payloadtype, dict ] ) - > mythicresponse : url = " { } { } : { } / api / v { } / payloadtypes / { } ". format ( self. _ http, self. server _ ip, self. _ server _ port, self. _ server _ api _ version, str ( payload _ type. id if isinstance ( payload _ type, pa... | [
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def test _ company _ jobs ( self ) : job _ post _ 1 = create _ job ( title = " job 1 ", category = job _ category _ choices. design, company = self. test _ company ) job _ post _ 2 = create _ job ( title = " job 2 ", category = job _ category _ choices. design, company = self. test _ company ) response = self. client. ... | [
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def append ( self, item ) : self. client. rpush ( self. key, self. client. encode ( item ) ) | [
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def register _ subscription _ plan ( self, plan _ id ) : if self. has _ subscription _ plan ( plan _ id ) : # plan is already registered with this service # = > update it return self. update _ subscription _ plan ( plan _ id ) action = " register subscription plan # % s " % plan _ id error = none s3db = current. s3db d... | [
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def get _ fmw _ parameters _ pub _ info ( self, repo _ name, fmw _ name, pub _ name ) : return self. job. get _ fmw _ parameters _ pub _ info ( repo _ name, fmw _ name, pub _ name ) | [
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def test _ import _ v1 _ database _ with _ dataset _ multiple ( self ) : contents = { " databases / imported _ database. yaml " : yaml. safe _ dump ( database _ config ), " datasets / imported _ dataset. yaml " : yaml. safe _ dump ( dataset _ config ), " metadata. yaml " : yaml. safe _ dump ( database _ metadata _ conf... | [
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def select _ tuple ( self, * keys, * * executor _ config ) : return self. map ( lambda row : tuple ( row [ key ] for key in keys ), * * executor _ config ) | [
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def tokenize _ test _ queries ( raw _ q, word2index, padding ='pre') : queries = [ ] for sentence in raw _ q : query = [ ] for word in sentence. split ( ) : wordindex = word2index. get ( word ) if not wordindex : wordindex = word2index ['unknown'] if word! = '?': # questionmark should not be recognized as an unknown wo... | [
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def test _ random _ uniform _ and _ belongs _ vectorization ( self ) : n _ samples = self. n _ samples point = self. beta. random _ point ( n _ samples ) result = self. beta. belongs ( point ) expected = gs. array ( [ true ] * n _ samples ) self. assertallclose ( expected, result ) | [
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def initial _ values ( self ) : nrg = 378 naz = 2656 data _ dummy = 1 / np. sqrt ( 2 ) * np. random. rand ( nrg, naz ) + 1j / np. sqrt ( 2 ) * np. random. rand ( nrg, naz ) pol _ dict = {'hh': data _ dummy,'hv': data _ dummy,'vv': data _ dummy } data _ stack _ dict = {'bsl _ 00': pol _ dict,'bsl _ 01': pol _ dict,'bsl ... | [
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def capacity _ reservation _ id ( self ) - > optional [ pulumi. input [ str ] ] : return pulumi. get ( self, " capacity _ reservation _ id " ) | [
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def make _ package ( self, datet : datetime, photos : list, code : str ) - > none : try : record _ event ( code, { " files " : photos, " date " : datet. isoformat ( ) } ) except exception as err : self. logger. error ( " event'{ }'recording error : { } ". format ( code, err ) ) | [
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def simple _ tokenizer ( text : str, lower : bool = false, newline : str = none ) - > list [ str ] : if lower : text = text. lower ( ) if newline is not none : # replace newline by a token text = text. replace ( " \ n ", " " + newline + " " ) return text. split ( ) | [
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def log _ error ( logger, suppress = true ) : def decorator ( f ) : @ functools. wraps ( f ) def wrapper ( * args, * * kwargs ) : try : return f ( * args, * * kwargs ) except exception as e : logger. error ( e ) if not suppress : raise e return wrapper return decorator | [
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def run _ django ( ) : from gunicorn. app. djangoapp import djangoapplication djangoapplication ( " % prog [ options ] [ settings _ path ] " ). run ( ) | [
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def test _ login _ password _ format ( self, * _ ) : # make sure we're logged out self. open ( base _ url +'/ logout') # open / login self. open ( base _ url +'/ login') # enter in a correct format email and a wrong format password self. type ('# email ','test @ example. com') self. type ('# password ','badpass') # cli... | [
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def replace _ doublequotes ( df ) : df. title = df. title. fillna ('' ). str. replace ('" " ', "'" ) df. abstract = df. abstract. fillna ('' ). str. replace ('" ', "'" ) return df | [
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def create _ consec _ absence _ temp _ table ( cursor, temp _ table, source _ table, source _ column, new _ column, grade, source _ schema ='clean') : sql _ create _ agg _ temp = " " " drop table if exists { tmp } ; create temporary table { tmp } as select student _ lookup, sum ( { sc } ) as { nc } from { ss }. { st } ... | [
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def viewportoff ( func ) : @ wraps ( func ) def wrap ( * args, * * kwargs ) : # turn $ gmainpane off : mel. eval ( " panelayout - e - manage false $ gmainpane " ) # decorator will try / except running the function. # but it will always turn on the viewport at the end. # in case the function failed, it will prevent leav... | [
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def plot _ tweets _ kde _ map ( self, cinema _ run = false ) : # http : / / darribas. org / gds _ scipy16 / ipynb _ md / 06 _ points. html # load data from ordance survey gb = gpd. read _ file ( ".. /.. / projectdata / data / gb / european _ region _ region. shp " ) fig, ax = plt. subplots ( 1, figsize = ( 9, 9 ) ) # r... | [
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def test _ not _ match ( self, basic _ logfile ) : matcher = logmatcher ( log _ path = basic _ logfile ) matcher. not _ match ( regex = re. compile ( r " bob " ), timeout = 0. 5 ) matcher. seek ( ) with pytest. raises ( exception ) : matcher. not _ match ( regex = re. compile ( r " third " ), timeout = 0. 5 ) | [
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def twalkoutput ( self ) : return self. twalk. output | [
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def _ _ init _ _ ( self, config ) : self. _ name = config. get ( attr _ name ) self. _ address = config. get ( attr _ address ) self. _ interface = config. get ( attr _ interface ) self. _ channel = config. get ( attr _ channel ) self. _ state = config. get ( attr _ param ) self. _ unique _ id = config. get ( attr _ un... | [
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def delete ( self, p ) : p. next = p. next. next | [
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def haversine _ np ( lon1, lat1, lon2, lat2 ) : lon1, lat1, lon2, lat2 = map ( np. radians, [ lon1, lat1, lon2, lat2 ] ) dlon = lon2 - lon1 dlat = lat2 - lat1 a = np. sin ( dlat / 2. 0 ) * * 2 + np. cos ( lat1 ) * np. cos ( lat2 ) * np. sin ( dlon / 2. 0 ) * * 2 c = 2 * np. arcsin ( np. sqrt ( a ) ) km = 6371 * c retur... | [
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def boost _ product _ to _ lab ( product, beta _ x, beta _ y ) : # unpack product ( product _ name, product _ m, product _ px, product _ py ) = product # find momenta in lab frame ( px _ lab, py _ lab ) = boost _ momentum ( product _ m, product _ px, product _ py, - beta _ x, - beta _ y ) # return return ( product _ na... | [
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def subnet _ id ( self ) - > optional [ pulumi. input [ str ] ] : return pulumi. get ( self, " subnet _ id " ) | [
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def print _ hint ( self ) : # not all objects have a hint so check all objects to see if they do # if so, add the hint to a new list hints = [ ] for obj in self. current _ room ['objects'] : data = self. current _ room ['objects'] [ obj ] if'hint'in data : hints. append ( data ['hint'] ) if len ( hints ) < 1 : print ( ... | [
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def refine _ training _ set ( training _ set ) : for i, ( centroid, label ) in enumerate ( training _ set. labels ) : print centroid print label ( start _ row, end _ row, start _ col, end _ col ) = training _ set. get _ example _ boundries ( centroid ) figure ( ) xlim ( start _ col, end _ col ) ylim ( start _ row, end ... | [
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def slider _ callback ( x ) : pass | [
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def save ( self, path ) : torch. save ( self. model, path ) | [
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def get _ or _ create _ ngrok _ tunnel ( ) - > str : global _ app _ tunnel _ url with _ app _ tunnel _ lock : if _ app _ tunnel _ url : return _ app _ tunnel _ url local _ port = _ get _ http _ port ( ) ngrok = none if config. get ('ngrok') : ngrok = get _ plugin ('ngrok') assert ngrok,'the ngrok plugin is required in ... | [
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def download ( self, fileobj, timeout = 120, read _ timeout = 660 ) : start = time. time ( ) status = none while true : status = self. get _ status ( ) if status [ " status " ] in ( " aborted ", " failed " ) : raise runtimeerror ( " job { 0 } was aborted : { 1 } ". format ( self. id, status [ " status _ details " ] ) )... | [
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def button _ press _ callback ( self, event ) : if event. inaxes is none : return if self. canvas. toolbar. mode! = " " : return if event. button = = 1 : self. _ addsub = 1 elif event. button = = 3 : self. _ addsub = 0 if event. inaxes = = self. axes [ " main " ] : self. _ msedown = true axisid = self. get _ axisid ( e... | [
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async def fetch _ async ( self ) - > " hostednumberorderinstance " : return await self. _ proxy. fetch _ async ( ) | [
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def reverse _ words ( text ) : return " ". join ( x [ : : - 1 ] for x in text. split ( " " ) ) | [
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def best _ breadth _ first _ tip _ state ( self ) : max _ val = - float ('inf') min _ visit = float ('inf') for s in self. nonterminal _ tip _ states : n = self. states _ to _ nodes [ s ] if n. value > max _ val : best _ node = n min _ visit = n. visitorder max _ val = n. value elif n. value = = max _ val and n. visito... | [
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def _ remove _ gaps _ patient ( df ) : unique _ visits = df ['visit _ number']. unique ( ) diff = unique _ visits [ 1 : ] - unique _ visits [ : - 1 ] if ( diff > 1 ). any ( ) : ix = np. where ( diff > 1 ) [ 0 ] [ 0 ] visit = unique _ visits [ ix ] return df [ df ['visit _ number'] < = visit ] return df | [
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def _ _ neg _ _ ( self ) : return self. _ negative ( self ) | [
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def polling _ loop ( timeout, interval = 1 ) : start _ time = time. time ( ) iteration = 0 end _ time = start _ time + timeout while time. time ( ) < end _ time : yield iteration iteration + = 1 time. sleep ( interval ) | [
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def compute _ best _ test _ losses _ case1 ( data, k, total _ queries ) : results = [ ] for query in range ( k, total _ queries + k, k ) : best _ arch = sorted ( data [ : query ], key = lambda i : i [ 2 ] ) [ 0 ] test _ error = best _ arch [ 3 ] results. append ( ( query, test _ error ) ) return results | [
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def _ _ init _ _ ( self, fit _ base _ to _ all _ cv : bool = false, base _ only : bool = false, cap _ predictions : bool = true, * rfargs, * * rfkwargs ) : self. base = baseexceedencemodel ( greedyfit = fit _ base _ to _ all _ cv ) self. rf = randomforestregressor ( * rfargs, * * rfkwargs ) self. greedyfit = fit _ base... | [
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def load _ nifty _ volume _ as _ array ( filename, with _ header = false ) : img = nibabel. load ( filename ) data = img. get _ data ( ) data = np. transpose ( data, [ 2, 1, 0 ] ) if ( with _ header ) : return data, img. affine, img. header else : return data | [
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def get _ header _ url ( self ) : return self. job. newsletter. header _ url _ replaced. replace ('{ { mail. mail _ hash } } ', self. mail _ hash ). replace ('{ { base _ url } } ', self. job. newsletter. get _ base _ url ( ) ) | [
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def skip _ all _ messages _ for _ subscription ( self, stream, subscription, local = false ) : if self. persistent : url _ endpoint ='/ streams / persistent / stream / { } / subscription / { } / skip _ all? local = { }'\. format ( stream, subscription, local ) # else : # url _ endpoint ='/ streams / non - persistent / ... | [
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def extract _ features ( self, sentence, index ) : features = { } assert ( index < len ( sentence ) ) if ('ww'in self. feature _ config. keys ( ) ) : for i in range ( self. ww _ start, self. ww _ end + 1 ) : if index + i = = 0 : features ['ww [ % i ] _ % s'% ( i, _ start _ value ) ] = 1 elif index + i = = len ( sentenc... | [
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def test _ load _ many _ mixed ( self, build _ image _ for _ jupyterlab ) : lb, username = build _ image _ for _ jupyterlab [ 0 ], build _ image _ for _ jupyterlab [ 5 ] keys = [ " conda3 & cdutil ", " pip & gtmunit1 ", " pip & gtmunit2 ", " conda3 & nltk ",'apt & curl'] loader = packagedataloader ( keys, lb, username ... | [
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def gen _ password ( length = 12, allowed _ chars ='abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz0123456789') : random. seed ( hashlib. sha256 ( ('y % s % s'% ( random. getstate ( ), time. time ( ) ) ). encode ( ) ). digest ( ) ) return''. join ( random. choice ( allowed _ chars ) for i in range ( length ) ) | [
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def train ( args ) : set _ deterministic _ pytorch ( args ) # check cuda availability if not torch. cuda. is _ available ( ) : logging. warning ('cuda is not available') # get input and output src _ path = os. path. join ( args. base _ dir, args. source ) trg _ path = os. path. join ( args. base _ dir, args. target ) f... | [
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def init _ axes ( self ) : fig = plt. figure ( figsize = ( 15, 10 ) ) ax = fig. add _ axes ( [ 0. 05, 0. 15, 0. 9, 0. 80, ] ) return ( fig, ax ) | [
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def test _ nfc _ wps _ er _ config _ token ( dev, apdev ) : try : _ test _ nfc _ wps _ er _ config _ token ( dev, apdev ) finally : dev [ 0 ]. request ( " wps _ er _ stop " ) dev [ 1 ]. request ( " set ignore _ old _ scan _ res 0 " ) | [
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def create _ snapshot ( self, machine _ id : str, data : dict [ str, any ] ) - > apiresponse : return self. _ post ( " list ", { " pk " : self. user _ pk, " sdi _ id " : self. sdi _ pk, " machine _ id " : machine _ id }, data ) | [
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def random _ filtered _ samples ( f, x, k, n, replace = true, max _ resamples = 1e3 ) : if replace and ( k > len ( x ) ) : raise valueerror ( " not enough elements of x. " ) if replace : num _ samples = len ( x ) * * k else : num _ samples = np. prod ( [ len ( x ) - j for j in range ( k ) ] ) if n is none : n = num _ s... | [
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def random _ walk ( n ) : bonds = np. random. standard _ normal ( ( int ( n ), 3 ) ) bonds = ( bonds. t / np. linalg. norm ( bonds, axis = 1 ) ). t coords = np. add. accumulate ( bonds, axis = 0 ) return coords | [
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def send _ exception ( self, code, message = none, exception = none ) : self. send _ response ( 200 ) self. send _ header ('content - type ','application / json') self. end _ headers ( ) resp _ json = dict ( ) resp _ json ['code'] = code resp _ json ['message'] = message if isinstance ( exception, exception ) : # exc _... | [
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def rule _ no ( self ) - > pulumi. input [ int ] : return pulumi. get ( self, " rule _ no " ) | [
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def _ translate _ _ interfaces _ state ( input _ yang _ obj, translated _ yang _ obj = none ) : for k, listinst in input _ yang _ obj. interface. iteritems ( ) : innerobj = _ translate _ _ interfaces _ state _ interface ( listinst, translated _ yang _ obj ) return translated _ yang _ obj | [
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def get ( self ) : timestamp = np. asarray ( self. _ data ['timestamp'] ) # unpack everything first, otherwise old files will be a mess values = [ _ h5 _ telstate _ unpack ( s ) for s in self. _ data ['value'] ] # figure out dtype and wrap any objects dtype = infer _ dtype ( values ) if dtype = = object : values = [ co... | [
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def test _ get _ values _ for _ normalized _ type ( self ) : expected _ result = {'1. 1. 1. 3'} record = {'sourceipaddress':'1. 1. 1. 3 ','streamalert : normalization': {'ip _ v4': expected _ result, } } assert _ equal ( normalizer. get _ values _ for _ normalized _ type ( record,'ip _ v4'), expected _ result ) | [
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def clean _ index ( output _ dir ) : index _ html = os. path. join ( output _ dir,'index. html') lines = [ ] with open ( index _ html ) as f : for l in f : if'documentation < / div >'in l : l = l. replace ('documentation < / div > ','< / div >') lines. append ( l ) f = open ( index _ html,'w') f. write ('\ n '. join ( ... | [
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def click _ first _ image ( ) : global driver driver. find _ element _ by _ class _ name ( " _ 9ahh0 " ). click ( ) | [
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def _ validate _ parameters ( self ) : if self. n _ iter < 250 : raise valueerror ( " n _ iter should be at least 250 " ) if self. n _ components! = 2 : raise valueerror ( " currently frovedis tsne supports n _ components = 2 " ) if self. perplexity < 0 : raise valueerror ( " perplexity = { } should be not be negative.... | [
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def delete _ workspace ( self, user = " " ) - > none : body = client. v1deleteoptions ( ) name = self. _ generate _ workspace _ name ( ) body. grace _ period _ seconds = 1 # delete deployment resp = self. app _ api _ client. delete _ namespaced _ deployment ( name, self. namespace, body = body ) print ( resp ) print ( ... | [
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def cleanstring ( string ) : try : res = " " for char in string : if char! ='' : res + = char return res except typeerror : raise typeerror ( " first argument must be a string. " ) | [
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def _ _ init _ _ ( self, sensor _ dict ) : self. angle = self. float _ value ( sensor _ dict,'angle') * degree _ per _ radians self. current _ lap _ time = self. float _ value ( sensor _ dict,'curlaptime') self. damage = self. int _ value ( sensor _ dict,'damage') self. distance _ from _ start = self. float _ value ( s... | [
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def _ _ init _ _ ( self, device, flip _ x = false, flip _ y = false, flip _ z = false, number _ precision = 3, immediate = false, debug = false ) : self. device = device self. flip _ x = flip _ x self. flip _ y = flip _ y self. flip _ z = flip _ z self. number _ precision = number _ precision # self. device. reset _ in... | [
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0.5125020742416382,
0.7806448936462402,
-0.8424076437950134,
0.515213131904602,
1.2712825536727905,
0.35287556052207947,
0.20423325896263123,
-0.2968011796474457,
-0.529015839099884,
0.03729740530252457,
0.13870155811309814,
0.7899143099784851,
1... |
def begin _ create _ address ( self, address _ name : str, resource _ group _ name : str, address _ resource : union [ _ models. addressresource, io ], * * kwargs : any ) - > lropoller [ _ models. addressresource ] : api _ version = self. _ get _ api _ version ('begin _ create _ address') if api _ version = ='2020 - 12... | [
-1.196044921875,
-0.5614637732505798,
0.9389113187789917,
-0.23034684360027313,
-0.6986383199691772,
-0.2537561357021332,
0.11373786628246307,
-0.7088465094566345,
0.801258385181427,
0.5509634017944336,
-0.14072711765766144,
0.846847653388977,
-0.30475324392318726,
0.405472069978714,
0.6... |
def _ _ init _ _ ( self ) : results = self. _ run _ systemctl _ commands ( self. all _ timers, " show ", " - - property ", " loadstate " ) if not results : self. loaded _ timers = none # command failed. else : self. loaded _ timers = tuple ( timer for timer, result in results. items ( ) if result [ " status " ] = = 0 a... | [
0.5019205808639526,
0.2205623835325241,
0.5562922358512878,
0.08425479382276535,
0.15408334136009216,
-0.417453795671463,
-0.2718927562236786,
-0.20587797462940216,
-0.035858310759067535,
-0.5031373500823975,
-0.7633287906646729,
-0.08083357661962509,
-0.02452012710273266,
1.13156652450561... |
def update _ params _ dict ( fparams _ dict, to _ add _ dict ) : new _ dict = dict ( fparams _ dict ) if to _ add _ dict : new _ dict. update ( to _ add _ dict ) return new _ dict | [
-0.9066237807273865,
-0.345476895570755,
0.6251764893531799,
-0.6159337162971497,
-0.6369850039482117,
0.07111863046884537,
-0.469672292470932,
0.37146633863449097,
-0.20407220721244812,
0.7934460639953613,
0.9096307158470154,
-0.1286107748746872,
0.4094429314136505,
0.6020520329475403,
... |
def call ( self, features, cols _ to _ output _ tensors = none ) : if not isinstance ( features, dict ) : raise valueerror ('we expected a dictionary here. instead we got : ', features ) transformation _ cache = fc. featuretransformationcache ( features ) output _ tensors = [ ] for column in self. _ feature _ columns :... | [
-1.4561527967453003,
0.5503555536270142,
0.677367091178894,
0.34631896018981934,
0.12809990346431732,
-1.1239488124847412,
0.11665905267000198,
-0.4135811924934387,
-0.1947445571422577,
0.07901689410209656,
-0.4740181267261505,
-0.7432888746261597,
0.6391237378120422,
-0.4510560929775238,
... |
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