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def load _ settings ( ) : global _ settings if _ settings is none : _ settings = current _ loader ( ). conf return _ settings
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def create _ user _ pool ( poolname = none, policies = none, lambdaconfig = none, autoverifiedattributes = none, aliasattributes = none, smsverificationmessage = none, emailverificationmessage = none, emailverificationsubject = none, smsauthenticationmessage = none, mfaconfiguration = none, deviceconfiguration = none, ...
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def test _ cant _ retrieve _ processing _ following _ user _ post ( self, mock ) : user = make _ user ( ) following _ user = make _ user ( ) user. follow _ user ( user = following _ user ) test _ image = get _ test _ image ( ) with open ( test _ image ['path'],'rb') as file : file = file ( file ) post = following _ use...
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def _ _ lt _ _ ( self, * args ) : return _ snap. tfltv _ _ _ lt _ _ ( self, * args )
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def get _ adv _ stats ( start _ date, end _ date ) : " " " since the official stats api ('statsapi. web. nhl. com / api / v1 /') does not contain advanced player stats, a different url is used " " " # establishing the column names for the dataframes that will eventually consolidate to a single'playerstats'dataframe col...
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def forget _ device ( accesstoken = none, devicekey = none ) : pass
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def isinnid ( self, * args ) : return _ snap. tungraphnodei _ isinnid ( self, * args )
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def load _ from _ path ( attrib _ path ) : segments = attrib _ path. split ( '.') if len ( segments ) < 2 : raise importerror ( " { 0 } is not a valid import path ". format ( attrib _ path ) ) attr = segments [ - 1 ] mod = import _ module ( ". ". join ( segments [ : - 1 ] ) ) return getattr ( mod, attr )
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def mapphrases ( usfm ) : logger = logging. getlogger ( logger _ name ) reader = usfmwordreader ( usfm ) phrase = none lastverse = none laststrong = none for line, strong, index in reader : book, chapter, verse = reader. location ( ) # init if not phrase : phrase = twphrase ( index ) # tricky : break phrases that span ...
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def _ _ setitem _ _ ( self, index, value ) : self. attrs [ index ] = value
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def movecentertoglobal ( self, position, speed, center = " roi " ) : scope = self. scopedev camcenter = np. array ( self. globalcenterposition ( center ) ) scopecenter = np. array ( pg. vector ( scope. globalposition ( ) ) ) scopepos = scopecenter + np. array ( position ) - camcenter return scope. setglobalposition ( s...
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def schemify _ attributes ( attributes _ path ) : util. log ( f " schemifying attributes for { attributes _ path }... " ) outfile _ path = " units. csv " with open ( attributes _ path, encoding = " utf - 8 " ) as attributes _ file : reader = csv. dictreader ( attributes _ file ) with open ( outfile _ path, " w ", encod...
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def _ _ add _ _ ( self, * args ) : return _ snap. tintprv _ _ _ add _ _ ( self, * args )
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def _ import _ interfaces _ for _ device ( self, device, net _ driver, networking, lldp, is _ vm = false ) : output = [ ] for device _ interface in device. interfaces. all ( ) : # clean up potential # # primary # # interfaces if device _ interface. name = = primary _ iface _ name and'primary'in networking : primary _ i...
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def sample _ movie ( user, * * params ) : defaults = {'title':'sample movie ','description':'sample description ','stock': 100,'rental _ price': 2. 50,'sale _ price': 10. 00,'availability': true } defaults. update ( params ) return movie. objects. create ( user = user, * * defaults )
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def tstrhashf _ md5 _ getprimhashcd ( * args ) : return _ snap. tstrhashf _ md5 _ getprimhashcd ( * args )
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def addatm ( self, * args ) : return _ snap. tintv _ addatm ( self, * args )
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def redefine _ attrs ( self, attrs ) : if isinstance ( attrs, basestring ) : attrs = [ attrs ] self. _ _ dict _ _ [ " attrs " ] = attrs return self
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def printinfo _ pungraph ( * args ) : return _ snap. printinfo _ pungraph ( * args )
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def select _ action ( self, state ) : sample = np. random. rand ( ) self. eps _ threshold * = eps _ decay self. eps _ threshold = max ( eps _ end, self. eps _ threshold ) self. step + = 1 if sample > self. eps _ threshold : state = torch. floattensor ( state ). cuda ( ) if use _ cuda else torch. floattensor ( state ) s...
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async def trigger ( self, * args, * * kwargs ) : await self. _ execute ( args, kwargs )
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def printlonlat ( self ) : print " % s is at % s. " % ( self. label, ( self. latitude, self. longitude ) )
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def saveedgelist _ pngraph ( * args ) : return _ snap. saveedgelist _ pngraph ( * args )
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async def stop _ bert ( self ) - > stopbertresponse : request = stopbertrequest ( ) return await self. _ unary _ unary ( " / gnoi. diag. diag / stopbert ", request, stopbertresponse )
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def register ( self, pattern, handler ) : if isinstance ( pattern, _ basestring ) : pattern = self. parser ( pattern ) self. bindings. append ( ( pattern, handler ) )
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def _ _ init _ _ ( self, in _ channels, output _ size, hidden _ channels = 16, lstm _ input _ size = 20, lstm _ hidden _ size = 64, num _ layers = 1, kernel _ size = 11, padding = 5, stride = 1 ) : # todo : save parameters and load them back if needed. super ( convolutional _ lstm _ mlp, self ). _ _ init _ _ ( ) self. ...
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def getni ( self, * args ) : return _ snap. tneanet _ getni ( self, * args )
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def linear _ model ( x, attr, xvars, fit _ intercept = none, name = none, cut = none, residuals = true, quiet = true, model ='linearregression') : if model is not'linearregression': raise exception ( " currently only model ='linearregression'implmented. " ) from sklearn. linear _ model import linearregression import pa...
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def code _ file ( ) : if os. path. exists ( " code. txt " ) : return else : with open ( " code. txt ", " w " ) as file : return
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def _ _ bool _ _ ( self ) : return bool ( self. _ entries )
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def device _ state _ attributes ( self ) : # # maybe should filter rather than sending them all return visonicapi. panelstatus
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def test _ cant _ retrieve _ draft _ pending _ connection _ user _ post ( self ) : user = make _ user ( ) pending _ connection _ user = make _ user ( ) user. connect _ with _ user _ with _ id ( user _ id = pending _ connection _ user. pk ) circle = make _ circle ( creator = pending _ connection _ user ) post = pending ...
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def uboot _ expect ( ) : spawned = false timed _ out = false reset = false warning = false # output string specifying that the u - boot command line is ready prompt ='zynq - uboot >'# terminal object used for coloring output term = terminal ( ) while 1 : try : # determine uart serial device path try : uart _ dev = glob...
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def title ( self ) : return self. _ _ title
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def flatten ( self, root : treenode ) - > none : node = root while node : if node. left : most _ right = node. left while most _ right. right : most _ right = most _ right. right most _ right. right = node. right node. right = node. left node. left = none node = node. right
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def bin _ to _ sparse _ arrays ( one _ or _ more _ files, cc _ number, max _ events = none, verbose = true, pedestals = none, cm _ matrix = none, scale = none ) : filelist = one _ or _ more _ files if type ( one _ or _ more _ files ) = = list else [ one _ or _ more _ files ] # read the file in " chunks " of 10000 event...
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def strattrvalueei ( self, * args ) : return _ snap. tneanet _ strattrvalueei ( self, * args )
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def free _ pars ( self ) : return self. list _ of _ pars ( " free " )
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def savesettings ( self, table, settings ) : self. logger. debug ( " entering savesettings " ) cursor = self. conn. cursor ( ) for key, value in settings. items ( ) : cursor. execute ( " replace into % s ( key, value ) values (?,? ) " % table, ( key, value ) ) self. conn. commit ( )
[ -1.1585359573364258, 0.5318135023117065, 0.4009200930595398, 0.6375395655632019, 0.5294126868247986, -0.4218037724494934, -0.5255728363990784, -0.043650440871715546, -1.1071749925613403, 1.6911638975143433, -0.8824726343154907, -1.1276636123657227, -0.9011498093605042, -0.02815520577132702...
def getactivityforworkshops ( workshopcodes, disabled ='0 ', deleted ='0') : objtypes = ['resource ','discussion ','idea'] finalactivitylist = [ ] try : activitylist = meta. session. query ( thing ) \. filter ( thing. objtype. in _ ( objtypes ) ) \. filter ( thing. data. any ( and _ ( data. key = = u'workshopcode ', da...
[ -0.6728456616401672, -0.06539898365736008, 0.5778711438179016, 0.3203738331794739, -0.00873840507119894, 0.03789139166474342, 0.5332547426223755, -0.48531749844551086, 0.6576496362686157, 0.23270322382450104, 0.9408829808235168, 0.4166525900363922, -0.9358199238777161, -0.05613095685839653...
def trunc ( self, * args ) : return _ snap. tcncomv _ trunc ( self, * args )
[ 0.6027883887290955, 0.684181809425354, 0.44353166222572327, -0.7470383644104004, 1.0106676816940308, 0.2042427659034729, 1.1041555404663086, 0.1913079470396042, -0.5067636966705322, -0.1820041388273239, -0.24706581234931946, 0.5405331254005432, 0.2107035219669342, 0.4744693338871002, 0.8...
def test _ display _ offset ( self ) : base. _ base _ _ nb _ objects = 0 r1 = rectangle ( 2, 3, 2, 2 ) dis _ stdout = stringio ( ) sys. stdout = dis _ stdout r1. display ( ) sys. stdout = sys. _ _ stdout _ _ self. assertequal ( " \ n \ n # # \ n # # \ n # # \ n ", dis _ stdout. getvalue ( ) )
[ 0.6962917447090149, -1.2611218690872192, 0.7624205350875854, -0.11204911768436432, -0.7623735070228577, 0.8901504874229431, 0.8199366331100464, -0.9034644961357117, -0.4140990674495697, -0.5052072405815125, -0.010238170623779297, 0.5035001635551453, -0.05152547359466553, 0.4859887659549713...
def test _ cant _ publish _ foreign _ user _ draft _ community _ post ( self ) : user = make _ user ( ) foreign _ user = make _ user ( ) headers = make _ authentication _ headers _ for _ user ( user ) post _ text = make _ fake _ post _ text ( ) community = make _ community ( ) foreign _ user. join _ community _ with _ ...
[ 0.4816003739833832, 1.0012491941452026, 0.9093643426895142, 0.6760777235031128, 0.2493479698896408, 1.0973625183105469, 0.07617467641830444, -0.5472037196159363, -0.42638638615608215, -0.017589375376701355, -0.2562033236026764, -0.6204801797866821, -0.6966907382011414, 0.36139535903930664,...
def onnotifyfmt ( self, * args ) : return _ snap. tnotify _ onnotifyfmt ( self, * args )
[ 0.3352017402648926, -0.397902250289917, 0.2567438781261444, 0.18020646274089813, 0.06879477202892303, -0.9730668663978577, -0.4877431094646454, -0.29944437742233276, -0.4702090620994568, 0.794275164604187, -0.9601173400878906, -1.1829220056533813, -0.24611933529376984, 1.3966271877288818, ...
def add _ cookies _ for _ url ( self, cookies, url ) : cookie _ list = [ ] for c in cookies : if isinstance ( c, dict ) : cookie _ list. append ( qnetworkcookie ( c ['name'], c ['value'] ) ) else : return self. _ _ cookie _ jar. setcookiesfromurl ( cookies, qtcore. qurl ( url ) ) return self. _ _ cookie _ jar. setcooki...
[ -1.0990402698516846, -0.09849844872951508, 0.4688855707645416, -0.08771175891160965, 0.10256756097078323, -0.10498446971178055, -0.3356156051158905, 0.18150943517684937, 0.35854265093803406, -0.23334920406341553, 0.13666898012161255, -0.4836481213569641, -0.5825108289718628, 0.681099236011...
def step _ info ( t, yout ) : os = ( yout. max ( ) / yout [ - 1 ] - 1. 0 ) * 100. 0 tr = t [ next ( ( i for i in range ( 0, len ( yout ) - 1 ) if yout [ i ] > yout [ - 1 ] *. 66 ), len ( yout ) ) - 1 ] - t [ 0 ] ts = t [ next ( ( len ( yout ) - i for i in range ( 2, len ( yout ) - 1 ) if abs ( yout [ - i ] / yout [ - 1...
[ -0.0745096206665039, -0.03954212740063667, 0.7367486357688904, -0.2097848653793335, -0.7894716858863831, -0.4093949496746063, 0.4514840543270111, -0.3331802785396576, -1.708221197128296, 0.6250752806663513, -0.8349211812019348, -0.12422006577253342, 0.44356027245521545, 0.338422030210495, ...
def _ add _ processes _ recursive ( self, processtreedict ) : pid = processtreedict ['pid'] ppid = processtreedict ['ppid'] nodename = " pid { 0 } ". format ( pid ) ppid _ node = " pid { 0 } ". format ( ppid ) self. digraph. add _ node ( nodename, type ='pid ', pid = pid, parent _ id = ppid ) self. nodemetadata [ noden...
[ -0.23526327311992645, -0.08671802282333374, 0.925039529800415, -1.1069567203521729, 0.43842557072639465, 0.5913287997245789, -0.5303163528442383, 0.1066727414727211, -0.1260836273431778, -0.048036932945251465, 0.2045554518699646, 0.18058417737483978, -0.03015192784368992, 0.403397709131240...
def _ process _ binding _ address ( self, binding, is _ ipv6, is _ anycast, vip _ exempt ) : addr = binding [ " address " ] if is _ ipv6 : # we need to translate the netmask6 exposed by puppet into a prefix length since ipaddress # library does not support this case. nm = self. _ get _ ipv6 _ prefix _ length ( binding ...
[ -0.5220106244087219, -0.14024773240089417, 0.672808825969696, -0.06586480885744095, -0.8121494650840759, -0.4955642521381378, 0.25205886363983154, 0.05149165540933609, 1.3674434423446655, 0.20809803903102875, 0.9758170247077942, 0.6021848320960999, -0.7126432061195374, -0.2911667823791504,...
def extract _ state ( model, buffer = none ) : if buffer is none or model. getnnodes ( ) = = 1 : buffer = { } # update state from buffer if any s = model. getstate ( buffer ['scip _ state'] if'scip _ state'in buffer else none ) buffer ['scip _ state'] = s if'state'in buffer : obj _ norm = buffer ['state'] ['obj _ norm'...
[ -0.11827893555164337, -0.6057778596878052, 0.7279297113418579, -0.101286381483078, -0.6810559034347534, -0.3809519112110138, 0.921781063079834, -0.38786980509757996, 0.0993824452161789, 0.10497494786977768, -1.031724452972412, -0.12902580201625824, 0.04263092577457428, -0.46805283427238464...
def delete _ demo _ by _ guid ( guid ) : # create and format request to erp url ='% s / api / v1 / demos / % s'% ( get _ service _ url ('lw - erp'), guid ) headers = get _ apic _ credentials ( ) try : response = requests. request ( " delete ", url, headers = headers ) except exception as e : raise apiexception ('erp th...
[ -0.05252181738615036, -0.23545965552330017, 0.6821641325950623, 0.08868762105703354, 0.11986576020717621, -0.2191740870475769, -0.09389603137969971, -0.5754755735397339, 0.8126035928726196, -0.03461737185716629, 0.06059175729751587, 0.6737887859344482, -0.05683900788426399, 0.7057031393051...
def forward ( self, indices : torch. tensor ) - > torch. tensor : # ( n, max _ sentence _ len, max _ word _ len ) - > ( n, max _ sentence _ len, max _ word _ len, e _ char ) x = self. embedding _ part. forward ( indices ) # ( n, max _ sentence _ len, max _ word _ len, e _ char ) - > ( *, e _ char, max _ word _ len ) 中 ...
[ -0.06760594248771667, 0.3479675352573395, 0.7722427845001221, -0.4039236307144165, -0.5837330222129822, -0.17448389530181885, 0.8777400255203247, 0.30780619382858276, -0.026971226558089256, 0.2613809406757355, -0.7459598183631897, 0.30055248737335205, -0.22851316630840302, -0.9126955270767...
def load ( self, * args, * * kwargs ) : if " somef115 " in self. controller. globals : return self. controller. globals [ " somef115 " ] = true location = self. controller. globals [ " procurement _ file _ path " ] self. datelimit = " show all year " self. ministry = " show all " datelist = [ " show all year " ] dateli...
[ 0.05340488627552986, 0.4528833031654358, 0.8064777255058289, -0.2711386978626251, -0.2606944739818573, 0.684686005115509, 0.8390511870384216, 0.5392412543296814, -0.19851325452327728, -0.9873702526092529, 0.007595248054713011, 0.035252176225185394, 0.3365859091281891, 1.2784215211868286, ...
def _ builddiff ( self ) : outputlist = [ ] for tag, alo, ahi, blo, bhi in self. cruncher. get _ opcodes ( ) : if tag = ='replace': # text replaced = deletion + insertion outputlist. append ( self. deltag % " ". join ( self. source [ alo : ahi ] ) ) outputlist. append ( self. instag % " ". join ( self. target [ blo : b...
[ -0.5601650476455688, -0.5896999835968018, 0.7584840059280396, -0.4614092707633972, -0.14226660132408142, -0.6575693488121033, 0.376434862613678, 0.3782305121421814, -0.1999836266040802, 0.02064174972474575, -0.47778815031051636, -0.09534098207950592, 0.04310205206274986, 1.058179259300232,...
def signer _ autoresponded ( self ) : self. update _ signer ( status ='auto _ responded')
[ -0.08210186660289764, -1.6530256271362305, 0.35652273893356323, 0.29740044474601746, -0.02521667629480362, -0.15574437379837036, 0.615001380443573, 0.8356731534004211, 0.3817257285118103, -0.6939501166343689, -1.4398880004882812, -0.2056005597114563, -0.1506182700395584, 0.1199144423007965...
def getfirstselection ( filternb = none, longname = false ) : selection = cmds. ls ( selection = true, long = longname ) if filternb and selection : selection = cmds. filterexpand ( selection, sm = filternb ) return libpython. getfirstitem ( selection,'' )
[ -0.18556781113147736, 0.31847599148750305, 0.6358550190925598, 0.3596811890602112, 0.02339833602309227, -0.8485472798347473, 0.544581949710846, -0.7563498616218567, 0.5727471709251404, -0.8069512248039246, 0.15572801232337952, 0.19633449614048004, -0.19829978048801422, 0.5104732513427734, ...
def detail ( self, req ) : req. get. pop ('name ~ ', none ) req. get. pop ('description ~ ', none ) req. get. pop ('description ', none ) return self. _ get _ snapshots ( req, is _ detail = true )
[ -0.8604824542999268, 1.039863109588623, 0.5538368821144104, 0.38900110125541687, 0.36376723647117615, -0.3723759353160858, -0.779337465763092, 0.0907331109046936, 0.31570446491241455, -0.285179078578949, -0.12600380182266235, 0.3235163390636444, -0.01892983727157116, 1.1255699396133423, ...
def from _ ansi ( cls, id ='', ansi ='' ) : self = object. _ _ new _ _ ( cls ) self. _ ansi = ansi if id and id not in cls. cached : cls. cached [ id ] = self self. id = id return self
[ 0.3698837459087372, -0.5100018382072449, 0.45531022548675537, 0.31176120042800903, -1.51857590675354, 0.10688468813896179, -1.1080026626586914, 0.04961638152599335, 1.1160669326782227, 0.0571318194270134, -1.6637601852416992, 0.22849471867084503, 0.4001542627811432, -0.003135095117613673, ...
def _ evaluate ( self, states, actions, tasks ) : dist = tf. norm ( states - tasks, axis = 1 ) dones = dist < self. _ at _ goal _ dist if self. _ use _ neg _ rew : rewards = tf. cast ( dones, tf. float32 ) - 1. 0 # rewards in { - 1, 0 } else : rewards = tf. cast ( dones, tf. float32 ) # rewards in { 0, 1 } return rewar...
[ -0.5336659550666809, 0.11189784854650497, 0.4065127670764923, -0.41372594237327576, -0.34614965319633484, 0.3613646626472473, -0.05089950188994408, -0.27085164189338684, -0.37712880969047546, 0.5491172075271606, 0.022117141634225845, 0.12626610696315765, 0.9931212067604065, -0.251754581928...
def _ get _ pattern _ or _ empty ( pattern, group = 1 ) : try : p = re. compile ( pattern ) return p. search ( _ general _ info ). group ( group ) except attributeerror : attr = pattern. split (':') [ 0 ] self. logger. warning ( "'% s'not found for series'% s '. returning empty string " % ( attr, name ) ) return''
[ -0.8318411111831665, 0.6839869618415833, 0.44820287823677063, -0.5347139835357666, -0.08912293612957001, 0.2664092481136322, 0.15911972522735596, -0.8814346790313721, 0.04887419193983078, 0.09152926504611969, 1.2984551191329956, 0.3998223543167114, -0.24013079702854156, -0.8806124329566956...
def log _ to _ kafka ( topic, event ) : producer. send ( topic, json. dumps ( event ). encode ( ) )
[ 0.10363328456878662, -0.473704069852829, 0.5822882652282715, 0.3523843586444855, -0.25098875164985657, -0.12338719516992569, -0.947394073009491, -0.053926125168800354, 0.1096523180603981, 1.1933841705322266, -0.8382526636123657, 1.068192958831787, 0.5901904106140137, -0.31966468691825867, ...
def simulate _ psdf _ 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 ) # s...
[ 0.2316482961177826, 0.21335580945014954, 0.9087499380111694, -0.2796410620212555, -0.014471725560724735, -0.20923785865306854, 0.14192357659339905, -0.6965821385383606, -0.39142653346061707, -0.33371198177337646, -0.11965629458427429, 0.11888622492551804, -0.3588443100452423, 0.58769041299...
def test _ alphabeta _ interface ( self ) : h, w = 7, 7 # board size test _ depth = 1 starting _ location = ( 5, 3 ) adversary _ location = ( 0, 0 ) # top left corner iterative _ search = false search _ method = " minimax " heuristic = lambda g, p : 0. # return 0 everywhere # create a player agent & a game board agentu...
[ -0.48455607891082764, 0.1334308236837387, 0.6393701434135437, 0.5781325101852417, 0.5318218469619751, 0.3447335362434387, 0.3839472234249115, -0.14579305052757263, 0.25924739241600037, 0.38634708523750305, -0.29844343662261963, -0.41587144136428833, -0.9039855003356934, -0.2799149453639984...
def maxcpgreedybetter3 ( * args ) : return _ snap. maxcpgreedybetter3 ( * args )
[ -1.171875, 0.37551620602607727, 0.33200016617774963, 1.0395439863204956, 0.7583327889442444, 1.4915484189987183, -0.46943244338035583, -0.2675124704837799, -0.7677316069602966, -0.42305514216423035, -0.9494684934616089, -0.20614348351955414, -1.5454694032669067, 1.0450670719146729, 0.228...
def load _ coco ( self, dataset _ dir, subset, shift = none ) : # add classes. self. add _ class ( " coco ", 1, " dog " ) self. add _ class ( " coco ", 2, " cake " ) self. add _ class ( " coco ", 3, " bed " ) # train or validation dataset? assert subset in [ " train2017 ", " val2017 ", " samples ", " dark " ] dataset _...
[ -0.3881472051143646, 0.2417871206998825, 0.8395193219184875, -0.5218603610992432, -1.0936721563339233, -0.4501180052757263, 0.6280325055122375, -0.08940034359693527, -0.8147674202919006, 0.7914146184921265, -0.37185320258140564, 0.763810396194458, 1.0917437076568604, 0.07778269797563553, ...
def perf _ check ( self, i, input1, input2, output _ list1 ) : output = [ ] for j in range ( 0, len ( input2 ) ) : if i in input2 [ j ] ['inventory'] : # checking if the order is present in inventory if input1 [ i ] = = input2 [ j ] ['inventory'] [ i ] or input1 [ i ] < = input2 [ j ] ['inventory'] [ i ] : self. match ...
[ -0.5129561424255371, -0.7740328311920166, 0.6725095510482788, 0.43629658222198486, -0.5535966157913208, 0.4483034014701843, -0.25793519616127014, -0.23927854001522064, -0.9433096051216125, 1.2688792943954468, 0.532721996307373, -0.4919399619102478, -0.925106942653656, -0.10497936606407166,...
def get _ jsd _ scores ( type2freq _ 1, type2freq _ 2, base = 2, alpha = 1, weight _ 1 = 0. 5, weight _ 2 = 0. 5 ) : # normalize reference and comparison frequencies type2p = get _ relative _ freqs ( type2freq _ 1 ) type2q = get _ relative _ freqs ( type2freq _ 2 ) # get mixed distribution type2m = get _ mixed _ distri...
[ -0.39638635516166687, -0.852798581123352, 1.1510251760482788, -0.08836529403924942, -0.11009050905704498, 0.1700916290283203, -0.453805148601532, -1.3740648031234741, -0.9070361256599426, 0.4330112040042877, 0.0022720659617334604, 0.8103020787239075, -0.0672001838684082, 0.9152346253395081...
def get _ valid _ session _ paths ( root _ folder, depth = 2 ) : def get _ valid _ session _ paths _ ( search _ from _ path, depth ) : " " " performs search from given child path " " " assert depth > = 0 if not os. path. isdir ( search _ from _ path ) : return [ ] res = [ ] for file in os. listdir ( search _ from _ pat...
[ -0.2980056405067444, -0.896839439868927, 1.0291264057159424, 1.5733362436294556, -0.740370512008667, 0.5680592656135559, 1.346670150756836, -0.40526634454727173, 0.2116786241531372, -0.34969788789749146, -0.10967861860990524, 0.37966910004615784, -0.6163206100463867, 0.5424029231071472, ...
def geteolnln ( self, * args ) : return _ snap. tmout _ geteolnln ( self, * args )
[ 0.23164652287960052, 0.07457148283720016, 0.5286628007888794, -0.7345987558364868, 0.5488874912261963, -0.7242998480796814, 0.5643269419670105, 0.29366445541381836, -0.3651014566421509, 0.008577831089496613, -0.7416914701461792, -0.972043514251709, 0.010121971368789673, 0.16398659348487854...
def list _ user _ pool _ clients ( userpoolid = none, maxresults = none, nexttoken = none ) : pass
[ -1.0133121013641357, -0.11092441529035568, 0.049206122756004333, 0.391683965921402, -0.041722074151039124, -0.4325886368751526, 0.6868783235549927, -1.3488832712173462, 0.7563725709915161, -0.338438481092453, -0.7698395252227783, 1.3072494268417358, -1.0401263236999512, -0.6099951863288879...
def test _ auto _ threshold _ calculation ( ) : transformer = drophighpsifeatures ( threshold = " auto ", p _ value = 0. 001, bins = 10 ) assert math. isclose ( transformer. _ calculate _ auto _ threshold ( n = 500, m = 500, bins = 10 ), 0. 11150865948502628, ) transformer = drophighpsifeatures ( threshold = " auto ", ...
[ 0.28272247314453125, 0.22700701653957367, 0.6343369483947754, 0.9472402930259705, 0.35745885968208313, -0.5397873520851135, 0.6200929284095764, -0.1348104029893875, -0.8741565346717834, -0.709890604019165, -1.563833475112915, 0.18144796788692474, 0.6543051600456238, 0.3415355980396271, 0...
def writesandboxspec ( self, appc _ pod _ manifest _ path, output _ path ) : if os. path. isfile ( output _ path ) : raise valueerror ('refusing to write sandboxspec to file % s which already exists!'% output _ path ) appc _ contents = json. loads ( osutils. readfile ( appc _ pod _ manifest _ path ) ) # use the file na...
[ -0.06229691952466965, -1.187174916267395, 0.44482213258743286, 0.3987788259983063, -0.01715048961341381, -0.07081715762615204, -0.15410184860229492, -0.43779197335243225, -0.3374684751033783, 0.2648608386516571, 0.09113983809947968, 0.19788704812526703, 0.713901162147522, -0.16484382748603...
def _ prepare _ server _ nics ( neutron _ client, ctx, server ) : network _ ids = get _ openstack _ ids _ of _ connected _ nodes _ by _ openstack _ type ( ctx, network _ openstack _ type ) port _ ids = get _ openstack _ ids _ of _ connected _ nodes _ by _ openstack _ type ( ctx, port _ openstack _ type ) management _ n...
[ -0.6299165487289429, 0.5156347751617432, 0.405158668756485, -0.8770134449005127, 0.7468203902244568, 0.12787671387195587, -0.6456380486488342, -0.7220165133476257, -0.36089950799942017, 0.413589745759964, -0.5785479545593262, 1.0914909839630127, 0.05722423642873764, 0.3712683320045471, 0...
def get _ fetch _ response ( self, raw ) : p = payload ( raw ) p. _ body = p. body return p
[ 0.4112494885921478, -0.4545484185218811, 0.3248865306377411, -1.0111322402954102, -1.5093048810958862, 0.1096314862370491, -1.0255799293518066, -1.284994125366211, 0.9554391503334045, -0.5670952200889587, -0.6873794794082642, -0.016625115647912025, 0.6123852133750916, -0.8100019097328186, ...
def deploy ( ) : update _ code ( ) update _ reqs ( ) syncdb ( ) collectstatic ( ) restart _ supervisord ( )
[ -0.047882914543151855, -0.13711461424827576, 0.3942883014678955, 0.7899055480957031, 0.4066985547542572, 0.2834729850292206, -0.09649189561605453, -0.04188099876046181, -0.8108997344970703, 0.7329142093658447, -0.061510052531957626, 0.5232870578765869, -0.495842844247818, 0.827222228050231...
def print _ screen ( self, history ) : # clear the terminal screen print ( ) os. system ('cls'if os. name = ='nt'else'clear') # print screen contents print ( " robco industries ( tm ) termalink protocol \ n " + \ " enter password now \ n \ n " + \ str ( self. logic. attempts ) + " attempt ( s ) left : " + ( " " * self....
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def plotoutdegdistr _ pngraph ( * args ) : return _ snap. plotoutdegdistr _ pngraph ( * args )
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def _ update _ directory ( operation, path, recursive = false, line _ by _ line = false, extension ='' ) : files _ updated = [ ] for name in os. listdir ( path ) : full _ path = os. path. join ( path, name ) # ignore directories if not recursive. if not recursive and os. path. isdir ( full _ path ) : continue results =...
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def _ dispatch _ event ( self, * args ) : # name of the dispatched event, like'on _ draw'name = args [ 0 ] # start the clock, and keep the time if this is on _ draw for fps calcs. start _ time = time. perf _ counter ( ) if name = ='on _ draw': _ frame _ times. append ( start _ time ) # call pyglet's dispatch event func...
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def set _ conversion _ function ( self ) : from conversions import ( ionization _ gauge, hall _ current _ sensor, pfeiffer _ single _ gauge, baratron, mfc, ) conversions = { " ionization gauge " : ionization _ gauge, " pfeiffer single gauge " : pfeiffer _ single _ gauge, " hall sensor " : hall _ current _ sensor, " no ...
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def runscript ( script : str ) - > bool : if not uppertester : printmd ('* * no command interface available * * ', c ='red') return false return requests. post ( uppertester, headers = {'x - m2m - utcmd': script } ). status _ code = = 200
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def delete _ click ( self, sender, e ) : definition _ file = self. definition _ file if not definition _ file : self. invalid _ definition _ file ( ) return confirmed = alert ( " are you sur you want to delete followinge parameters : \ n { } ". format ( " \ n ". join ( [ item. name for item in self. datagrid. selectedi...
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def create _ ex ( cls, img, elev _ unit, dinner, douter, dens _ t, dens _ w, elev _ w, edge, edge _ elev, opt, survey _ type ) : ret _ val = gxapi _ cy. wraptc. _ create _ ex ( gxcontext. _ get _ tls _ geo ( ), img, elev _ unit, dinner, douter, dens _ t, dens _ w, elev _ w, edge, edge _ elev, opt, survey _ type ) retur...
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def selectatomicfltconst ( self, * args ) : return _ snap. ptable _ selectatomicfltconst ( self, * args )
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def generate _ training _ data ( self, corpus ) : if len ( corpus ) = = 0 : raise valueerror ('you need to specify a corpus of text.') training _ data = [ ] corpus _ processed = self. _ preprocess ( corpus ) self. _ mapping ( corpus _ processed ) for sentence in corpus _ processed : for i, word in enumerate ( sentence ...
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def _ gettrackinglocation ( self, node ) : return ', '. join ( node [ key ] for key in ('event'+ i for i in ['city ','state ','country'] ) \ if node [ key ] ) or \'usa '
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def genstar _ pngraph ( * args ) : return _ snap. genstar _ pngraph ( * args )
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def getuserid ( id ) : userprofile = userprofile. query. filter _ by ( id = int ( id ) ). first ( ) return render _ template ('view _ user. html ', userprofile = userprofile )
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def naked _ twins ( values ) : newvalues = values. copy ( ) # looping over all units to check the presence of twins for unit in unitlist : unit _ values = [ newvalues [ k ] for k in unit ] # converting unit keys into values twins = find _ twins ( unit _ values ) # find twins in the list. if twins : # if we wind twins i...
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def _ _ ge _ _ ( self, other ) : return self. area ( ) > = other. area ( )
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def download _ to ( url, file _ path ) : # see https : / / stackoverflow. com / questions / 7243750 / download - file - from - web - in - python - 3 import urllib. request import shutil # download the file from ` url ` and save it locally under ` file _ name ` : with urllib. request. urlopen ( url ) as response, \ open...
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def test _ atomic _ qname _ max _ length _ nistxml _ sv _ iv _ atomic _ qname _ max _ length _ 1 _ 5 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / qname / schema + instance / nistschema - sv - iv - atomic - qname - maxlength - 1. xsd ", instance = " nistdata / atomic / qn...
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def generate _ data ( n ) : x = np. array ( [ i * np. pi / 180 for i in range ( 60, ( 60 + ( n * 4 ) ) + 1, 4 ) ] ) np. random. seed ( 10 ) # setting seed for reproducibility y = 4 * x + 7 + np. random. normal ( 0, 3, len ( x ) ) return x, y
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def _ _ init _ _ ( self, * columns ) : self. _ _ columns = _ columns ( columns ) self. _ _ data _ area = { } self. _ _ row _ index = 1
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def gradient _ update ( theta, x, y ) : # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # compute the gradient update # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # your code here qq = sigmoid ( x. dot ( theta. reshape ( x. shape [ 1 ], 1 ) ) ) q = qq - y. reshape ( x. shape [ 0 ], ...
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def test _ can _ retrieve _ public _ community _ not _ member _ of _ post ( self ) : user = make _ user ( ) headers = make _ authentication _ headers _ for _ user ( user ) community _ owner = make _ user ( ) community = make _ community ( creator = community _ owner ) post = community _ owner. create _ community _ post...
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def regr _ model _ site _ effects ( self, ignore _ sse _ outliers = true, view = true ) : assert ( self. roi _ saresid _ df is not none ), " run remove _ sa _ effects ( ) first. " # use visit - 01 saresid data if possible, excluding dropped rois if ( self. visit _ code = ='1') or ( self. visit _ code = ='123') : suff _...
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def test _ constructor ( self ) : assert isinstance ( self. o, ocean )
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def add _ handler ( configobj, section _ name, c _ config ) : section = configobj [ section _ name ] module _ name = section ['module'] module = importlib. import _ module ( module _ name ) module. add _ handler ( configobj, section _ name, c _ config )
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def clone _ by _ id ( self, ids, target _ gid, clone _ executor, including _ disabled = false, including _ pinned = true ) : if isinstance ( ids, ( int, long ) ) : ids = [ ids ] ids = [ int ( id ) for id in ids ] if target _ gid = = bot. remote. public _ token ( ) : target _ gid = public _ group _ id filter _ dict = { ...
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def coadd _ one _ object ( spec1dfiles : list [ str ], objids : list [ str ], coaddfile : str, spectrograph : str, user _ config _ lines : list [ str ], debug : bool = false ) : par = load _ spectrograph ( spectrograph ). default _ pypeit _ par ( ) default _ cfg _ lines = par. to _ config ( ) par = pypeitpar. pypeitpar...
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