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def test _ export _ database _ command _ key _ order ( self, mock _ g ) : mock _ g. user = security _ manager. find _ user ( " admin " ) example _ db = get _ example _ database ( ) command = exportdatabasescommand ( [ example _ db. id ] ) contents = dict ( command. run ( ) ) metadata = yaml. safe _ load ( contents [ " ... | [
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def pop ( self :'linked _ list') - >'linked _ list': if self. head is none or self. size = = 0 : raise indexerror ( " list is empty! " ) return self. remove ( lambda x : true ) | [
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def show _ asset ( self, asset : asset ) : self. _ asset = asset self. _ display. setpixmap ( self. _ asset. load _ thumbnail _ cached ( self. image _ size ) ) | [
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def get _ core _ threshold ( self, target ) : return query _ int _ attribute ( self, target, 0, nv _ ctrl _ gpu _ core _ threshold ) | [
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def lower _ frequency ( center, order ) : return center * 2. 0 * * ( - 1. 0 / ( 2. 0 * order ) ) | [
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def worker ( args ) : # step 1. create the envelope with " created " ( draft ) status args [ " envelope _ args " ] [ " status " ] = " created " # using worker from example 002 results = eg002controller. worker ( args ) envelope _ id = results [ " envelope _ id " ] # step 2. create the sender view view _ request = retur... | [
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def build _ mismatched _ common _ meta _ report ( common _ meta _ df _ shapes, sources, all _ meta _ df, all _ meta _ df _ with _ dups ) : expanded _ sources = [ ] for ( i, shape ) in enumerate ( common _ meta _ df _ shapes ) : src = sources [ i ] expanded _ sources. extend ( [ src for i in range ( shape [ 0 ] ) ] ) ex... | [
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def plot _ data ( lidar, title = " " ) : fig = plt. figure ( ) ax = fig. add _ subplot ( 111, projection ='3d') #, axisbg ='black') # ax. title ( title ) colors = ( lidar [ ele ] / lidar [ ele ]. max ( ) ) # * 255 ax. scatter ( lidar [ lat ], lidar [ long ], zs = lidar [ ele ], zdir ='z ', marker ='+ ', c = colors, s =... | [
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def _ _ init _ _ ( self, cell ) : super ( freestatecell, self ). _ _ init _ _ ( ) self. _ cell = cell self. _ state _ built = false self. _ state _ variables = tf. contrib. checkpoint. list ( [ ] ) self. _ states _ structure = none | [
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def _ installvboxondarwin ( self ) : sdmg = self. _ findfile ('^ virtualbox -. * \ \. dmg $') ; if sdmg is none : return false ; # mount the dmg. frc = self. _ darwinmountdmg ( sdmg ) ; if frc is not true : return false ; # uninstall any previous vbox version first. suninstaller = os. path. join ( self. _ darwindmgpath... | [
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def _ inject ( ) : import vispy show _ warnings = vispy. config ['show _ warnings'] import opengl. gl. framebufferobjects as fbo # import functions here ns = globals ( ) funcnames = _ desktop. _ glfunctions for name in funcnames : func = _ get _ function _ from _ pyopengl ( name ) ns [ name ] = func # import functions ... | [
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async def _ create _ offer _ for _ ids ( self, offer _ dict : dict [ union [ int, bytes32 ], int ], tx _ config : txconfig, driver _ dict : optional [ dict [ bytes32, puzzleinfo ] ] = none, solver : optional [ solver ] = none, fee : uint64 = uint64 ( 0 ), extra _ conditions : tuple [ condition,... ] = tuple ( ), taking... | [
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def visualize _ financial _ records ( args ) : with open ('financial _ records. csv ', newline ='' ) as csv _ file : record _ reader = csv. dictreader ( csv _ file ) all _ records = [ record for record in record _ reader ] # sort all records by date to make them appear in the correct # order in the generated chart all ... | [
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def _ check _ gids ( gids, gid _ ranges, valid _ cells, arg _ name, same _ type = true ) : _ validate _ type ( gids, ( int, list, range, str, none ), arg _ name,'int list, range, str, or none') # convert gids to list if gids is none : return list ( ) if isinstance ( gids, int ) : gids = [ gids ] elif isinstance ( gids,... | [
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def test _ transaction _ multiple _ filters ( client, acc1 _ usd _ deposit _ transaction _ factory, acc2 _ eth _ withdrawal _ transaction _ factory, ) : acc1 _ usd _ deposit _ transaction _ factory ( client _ address ) withdrawal = acc2 _ eth _ withdrawal _ transaction _ factory ( client _ address ) encoded _ jwt = sep... | [
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def test _ division _ vector _ by _ scalar ( self ) : vector = vector ( [ 9, 12, 15 ] ) vector2 = vector / 3 self. assertequals ( vector2. coordinates, [ 3. 0, 4. 0, 5. 0 ] ) self. assertraises ( zerodivisionerror, self. vector. _ _ div _ _, 0. 0 ) vector2 = vector / - 1 self. assertequals ( vector2. coordinates, [ - 9... | [
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def _ _ getitem _ _ ( self, item ) : if isinstance ( item, slice ) : if item. start is none and item. stop is none and item. step is none : return self return sliceddataset ( self, item ) elif item is... : return self elif isinstance ( item, int ) : return self. take ( item ). list ( ) [ - 1 ] else : raise valueerror (... | [
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def get _ chat _ by _ video _ id ( self, video _ id, params ) : initial _ info = self. _ get _ initial _ video _ info ( video _ id ) title = initial _ info. get ('title') duration = initial _ info. get ('duration') start _ time = initial _ info. get ('start _ time') is _ live = initial _ info. get ('is _ live') return ... | [
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def _ _ eq _ _ ( self, other ) : if not isinstance ( other, notificationtyperesource ) : return false return self. _ _ dict _ _ = = other. _ _ dict _ _ | [
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def testfeature ( self, img ) : try : # set aside current pattern and check for anything decodeddata = self. decodebc ( img, verifypattern = true ) # return current pattern if isinstance ( decodeddata, list ) : return true else : return false except exception as e : print ( e ) # some unknown error, assume test failed ... | [
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def project ( self, request, pk ) : projector = self. get _ object ( ) elements = request. data. get ( " elements " ) preview = request. data. get ( " preview " ) history _ element = request. data. get ( " append _ to _ history " ) delete _ last _ history _ element = request. data. get ( " delete _ last _ history _ ele... | [
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def test _ gf _ write _ feature _ header _ without _ tags _ with _ description _ without _ background ( disabled _ colors, capsys, mocker ) : # given feature = mocker. magicmock ( spec = feature ) feature. keyword = " feature " feature. short _ description = " my feature " feature. description = [ " foo ", " bar ", " b... | [
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def update _ ref ( self, new _ observed ) : for observer in self. observers : observer. update _ ref ( new _ observed ) | [
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def overlay _ image _ alpha ( img, img _ overlay, pos, alpha _ mask ) : x, y = pos # image ranges y1, y2 = max ( 0, y ), min ( img. shape [ 0 ], y + img _ overlay. shape [ 0 ] ) x1, x2 = max ( 0, x ), min ( img. shape [ 1 ], x + img _ overlay. shape [ 1 ] ) # overlay ranges y1o, y2o = max ( 0, - y ), min ( img _ overla... | [
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def bisection _ solver ( f, a, b, epsilon = 0. 001, verbose = false ) : validate _ conditions ( f, a, b, epsilon ) m = calculate _ midpoint ( a, b ) fm = f ( m ) remaining _ iterations = max _ iterations if verbose : # print de header van de tabel. header = map ( lambda x : x. ljust ( 10,'' ), ['step ','a ','b ','m ','... | [
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def interpolate ( self, obj _ idx ) : prev _ frame = - 1 prev _ box = none cls = none for frame in range ( 0, self. length ) : try : for row in self. labels [ frame ] : if int ( row [ 2 ] ) = = obj _ idx : # see if obj _ idx is in this frame # if we have prev _ box, interpolate all boxes between if prev _ frame! = - 1 ... | [
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def ensure _ deviceset _ for _ cpt ( self, lib, cpt ) : dsname = cpt. attributes. get ('eaglexml _ deviceset ', cpt. name ) if ( lib, dsname ) in self. dscache : return self. dscache [ lib, dsname ] deviceset = g. deviceset ( name = dsname ) deviceset. gates = g. gates ( ) deviceset. devices = g. devices ( ) lib. devic... | [
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def update _ fits ( self, original _ file _ path, new _ file _ path ) : new _ file _ dir = os. path. split ( new _ file _ path ) [ 0 ] if not os. path. exists ( new _ file _ dir ) : os. makedirs ( new _ file _ dir ) if not os. path. exists ( new _ file _ path ) : shutil. copy ( original _ file _ path, new _ file _ path... | [
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def commonpaths ( paths ) : import posixpath common ='' if len ( paths ) > 1 and " / " not in paths : common = posixpath. commonprefix ( paths ) if common [ - 1 : ]! = " / " : common = common [ : common. rfind ( " / " ) + 1 ] idx = len ( common ) if idx > 0 : paths = [ path [ idx : ] or ". / " for path in paths ] commo... | [
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def new ( loc ) : db = db ( loc ) return db | [
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async def test _ flow _ works _ with _ 2fa ( hass, aioclient _ mock ) : from homeassistant. components. hangouts. hangups _ utils import google2faerror flow = config _ flow. hangoutsflowhandler ( ) flow. hass = hass with patch ( " homeassistant. components. hangouts. config _ flow. get _ auth ", side _ effect = google2... | [
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def from _ hit ( cls, hit ) : if isinstance ( hit, hit ) : doc = hit. to _ dict ( ) meta = hit. meta. to _ dict ( ) elif isinstance ( hit, dict ) : meta = hit ['meta'] del hit ['meta'] doc = hit else : raise attributeerror ('the hit has to be of type hit or dict, found % s.'% hit. _ _ class _ _ ) # build the page page ... | [
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def conditional _ memory _ profile ( func ) : if config. opts. profile _ mem : from memory _ profiler import profile return profile ( func ) else : return func | [
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def process _ item ( self, item ) : return { " task _ id " : item [ " task _ id " ], " task _ type " : self. task _ type ( item ) } | [
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def main ( ) : parser = argparse. argumentparser ( description = " update randomizer nexus dataset " ) parser. add _ argument ( " - - dustkid ", default = default _ dustkid _ root, required = false, help = " dustkid website root url ", ) parser. add _ argument ( " - - atlas ", default = default _ atlas _ root, required... | [
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async def xpinfo ( self, ctx ) : server = ctx. message. server channel = ctx. message. channel servername = server. name hourlyxp = int ( self. settings. getserverstat ( server, " hourlyxp " ) ) if not hourlyxp : hourlyxp = 0 onlyonline = self. settings. getserverstat ( server, " requireonline " ) xpprom = self. settin... | [
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def get _ relationship _ info ( self, rc _ name ) : rc = arcpy. describe ( os. path. join ( self. path, rc _ name ) ) origin = rc. originclassnames [ 0 ] destination = rc. destinationclassnames [ 0 ] keys = rc. originclasskeys primary = [ k [ 0 ] for k in keys if k [ 1 ] = ='originprimary'] [ 0 ] foreign = [ k [ 0 ] fo... | [
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def rand _ randomuser ( df, col1, col2, outfile, outfile _ start = 0, outfile _ end = 100 ) : nodes _ u = list ( df [ col1 ]. unique ( ) ) nodes _ o = list ( df [ col2 ]. unique ( ) ) num _ o = len ( nodes _ o ) num _ graphs = 0 while num _ graphs < ( outfile _ end - outfile _ start ) : print num _ graphs r = nx. graph... | [
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def make _ newrange ( self, oldrange, optimising _ list, background _ arr, background _ method, * * kwargs ) : mode = kwargs. get ('mode ','primary') threshold = kwargs. get ('threshold ', 0. 001 ) scale _ factors = kwargs. get ('scale _ factors ', {'narrow': 2,'wide': 5,'factor': 5 } ) narrow = scale _ factors ['narro... | [
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def test _ get _ comment _ list ( self ) : url = reverse ( " comment - list " ) response = self. client. get ( url, format = " json " ) self. assertequal ( response. status _ code, status. http _ 200 _ ok ) | [
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def show _ paths _ template _ using _ on ( self, template _ name ) : request = tsquerytemplatereq ( self. _ _ session _ id, template _ name, templatequerytype. show _ using _ templates. value, ) response = self. _ _ client. queryschematemplate ( request ) logger. debug ( " show paths template using { }, on { } ". forma... | [
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def run ( diagram _ structure ) : global nodes _ dict, synapses _ dict structure _ data = json. loads ( diagram _ structure ) for ii in range ( len ( structure _ data [ " nodedataarray " ] ) ) : # # # set up the nodes # # # try : node _ type = structure _ data [ " nodedataarray " ] [ ii ] ['neuron _ type'] # # im doing... | [
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def display _ usage ( ) : print ( " usage : python2 people _ counting _ depth. py [ < filename > [ < replay " \ " rate > ] ] " ) print ( " - if filename is not specified the script will try to connect to " \ " a depth camera " ) print ( " - if replay rate is not specified the default value is 30 fps " ) | [
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def main ( ) : # allows warnings from divide by zero or log / ln negative number to be caught in try except warnings. filterwarnings ('error') args = command _ line _ parameters ( ) if os. path. exists ( args. config ) : paths, process _ log, exp = config _ variables ( args ) process _ log = functions ( args, paths, pr... | [
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def get _ local _ service _ id ( service ) : return _ internal _ services [ service ] | [
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def test _ delete _ vcs _ root _ entry ( self ) : pass | [
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def train _ gridsearch _ extratree ( self, verbose = 0 ) : parameters = {'min _ samples _ split': range ( 5, 30, 5 ) } # searches over the given parameter grid to find the best set clf = gridsearchcv ( extratreesclassifier ( n _ estimators = 10, max _ depth = 8, criterion ='gini'), parameters, cv = 5 ) clf. fit ( self.... | [
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def analyser ( self, baseschema, override ) : if ( baseschema, override ) in self. analysers : return true debug = self. debug verbose = self. verbose schemaroots = self. schemaroots e = elements ( debug = debug, verbose = verbose ) e. configure ( baseschema, override = override, roots = schemaroots. get ( baseschema, ... | [
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def _ extract _ funcs ( self, v ) : return ( isinstance ( v, ast. functiondef ) and ( v. name [ 0 ]! ='_') ) | [
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def handle _ parse _ result ( self, ctx, opts, args ) : if self. name in opts : if self. depends _ on not in opts : raise click. usageerror ( " % s requires % s " % ( self. _ fmt _ opt ( self. name ), self. _ fmt _ opt ( self. depends _ on ), ) ) for name in self. incompatible _ with : if name in opts : raise click. us... | [
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def species _ to _ node ( spc ) : rmgmol = spc. molecule [ 0 ] obmol = toobmol ( rmgmol ) ardmol = gen3d. molecule ( obmol ) ardmol. addh ( ) ardmol. gen3d ( make3d = true ) return ardmol. tonode ( ) | [
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def to _ pandas ( cur ) : if cur. description! = none : data = pd. dataframe ( cur. fetchall ( ), columns = [ rec [ 0 ] for rec in cur. description ] ) else : data = " " return data | [
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def list _ files ( self, prefix = " ", flat = false ) : for f in self. _ interface. list _ files ( prefix, flat ) : yield f | [
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def stationary _ covariance ( self ) - > jaxarray : raise notimplementederror | [
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def follow _ group _ with _ http _ info ( self, group _ id, logged _ in _ user _ id, access _ token, client _ token, * * kwargs ) : all _ params = ['group _ id ','logged _ in _ user _ id ','access _ token ','client _ token ','fields'] all _ params. append ('callback') all _ params. append ('_ return _ http _ data _ onl... | [
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def status ( self, status ) : allowed _ values = [ " pending ", " accepted " ] if status not in allowed _ values : raise valueerror ( " invalid value for ` status ` ( { 0 } ), must be one of { 1 } ". format ( status, allowed _ values ) ) self. _ status = status | [
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async def async _ step _ init ( self, _ : none = none ) - > flowresult : return await self. async _ step _ confirm _ change _ plan ( ) | [
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def choosedirectory ( self ) : dialog = qfiledialog ( ) self. dir = dialog. getexistingdirectory ( self, " open directory ", ". / ", qfiledialog. showdirsonly | qfiledialog. dontresolvesymlinks ) self. ui. dirstring. settext ( self. dir ) self. state ='struct + angio'self. data = load ( directory = self. dir ) self. pr... | [
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def _ _ init _ _ ( self, name, mix, * args, * * kwargs ) : kwargs. update ( { " mix " : mix } ) super ( zeroinflatednegativebinomial, self ). _ _ init _ _ ( name, * args, * * kwargs ) | [
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def butter _ lowpass _ filter ( self, data, cutoff, fs, fwbw, order = 5 ) : b, a = self. butter _ lowpass ( cutoff, fs, order = order ) if fwbw : y = scipy. signal. filtfilt ( b, a, data ) else : y = scipy. signal. lfilter ( b, a, data ) return y | [
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def _ _ delitem _ _ ( self, key ) : del self. raw [ key ] | [
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def check _ enable _ mode ( self, * args, * * kwargs ) : pass | [
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def writetoplevel ( self, config _ list, spec _ name, output _ path, xml _ file ) : | [
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def get _ download _ progress _ all ( self ) : # take all the files names from download dir names = os. listdir ( self. dir _ download ) # wait until first download starts while len ( names ) = = 0 and self. start _ download : names = os. listdir ( self. dir _ download ) self. start _ download = false crd = [ ] # keep ... | [
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def calculate _ fuel _ consumption ( maf, fuel _ type = fueltypes. gasoline. value ) : return ( maf * 3600 ) / ( fuel _ type [ 0 ] * fuel _ type [ 1 ] ) | [
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... |
def get _ system _ shared _ memory _ status ( self, region _ name : str =..., headers : dict [ str, t. any ] =..., as _ json : t. literal [ false ] =..., ) - > service _ pb2. systemsharedmemorystatusresponse : | [
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def fibonacci ( ) - > _ iterable [ int ] : a : int = 1 b : int = 2 while true : yield a a, b = b, a + b | [
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def update ( self ) : self. insects = [ ] for pos in self. cells : if self [ pos ] is not none : insect = self [ pos ] insect. update _ check ( ) self. insects. append ( insect ) | [
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def create _ discriminator _ logits _ layer ( regularizer ) : with tf. variable _ scope ( name _ or _ scope = " discriminator ", reuse = tf. auto _ reuse ) : # flatten layer to get final block conv tensor ready for dense layer. flatten _ layer = tf. layers. flatten ( name = " discriminator _ flatten _ layer " ) print _... | [
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def pitch _ class _ in _ f ( x ) : pitch _ class _ matrix = np. array ( [ n % octave for n in range ( num _ notes ) ] ) pitch _ class _ matrix = torch. longtensor ( pitch _ class _ matrix ) pitch _ class _ matrix = pitch _ class _ matrix. repeat ( ( x. shape [ : 2 ] + ( 1, ) ) ) return get _ variable ( pitch _ class _ ... | [
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... |
def create _ dirs _ for ( filepath ) : # otherwise, don't have to create any directories if filepath. find ('/') > - 1 : dir _ path = filepath [ : filepath. rfind ('/') ] if not os. path. isdir ( dir _ path ) : os. makedirs ( dir _ path ) | [
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def test _ construct ( self ) : suite = runner. loggedsuite ( ) self. assertequal ( suite. counttestcases ( ), 0 ) | [
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def plan ( self ) - > optional ['outputs. armplanresponse'] : return pulumi. get ( self, " plan " ) | [
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def delete _ entry ( self, id ) : conn = self. conn sql ='delete from { entries } where id =? '. format ( entries = self. table _ name ) cur = conn. cursor ( ) cur. execute ( sql, ( id, ) ) conn. commit ( ) | [
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def start ( self ) : self. return _ load _ section = false # tells that is need to go back there to load a new action ( avoiding push a load _ section above another in the stack ) self. curr _ sec ='main'self. _ load _ default _ actions ( ) self. _ running = true while self. _ running : self. return _ load _ section = ... | [
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def _ get _ config _ path _ for _ localizer ( ) : repo _ dir = osp. dirname ( osp. dirname ( osp. dirname ( _ _ file _ _ ) ) ) config _ dpath = osp. join ( repo _ dir,'configs / localization') if not osp. exists ( config _ dpath ) : raise exception ('cannot find config path') config _ fpaths = list ( glob. glob ( osp. ... | [
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... |
def test _ background ( self ) : self. assertequal ( text. assembleformattedtext ( a. normal [ a. bg. red ['hello,'], a. bg. green ['world!'] ] ),'\ x1b [ 41mhello, \ x1b [ 42mworld!') | [
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def get _ filelists ( srcdir, shuffle = true ) : dataset = [ ( os. path. join ( os. path. join ( srcdir, dirname ), filename ), label [ dirname ] ) for dirname in os. listdir ( srcdir ) for filename in os. listdir ( os. path. join ( srcdir, dirname ) ) ] if shuffle : random. shuffle ( dataset ) return dataset | [
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def override _ 3i _ specimen _ project ( self, specimen _ df : dataframe ) : specimen _ df. withcolumn ( " _ project ", when ( specimen _ df [ " _ datasource " ] = = " 3i ", col ( " phenotyping _ consortium " ) ). otherwise ( " _ project " ), ) return specimen _ df | [
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def checkout ( numbr, digit ) : dval = 1 ans = 0 while dval < = numbr : nval = dval * 10 lftnumb = ( numbr / / nval ) * dval rgtnumb = numbr % dval odigit = ( numbr / / dval ) % 10 ans + = lftnumb if odigit > digit : ans + = dval if odigit = = digit : ans + = rgtnumb + 1 dval = nval return ans | [
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def insert ( self, item ) : try : item = str ( item ) h = hashes ( item, self. d, self. packed ) for di in range ( self. d ) : self. store [ di ] [ h [ di ] % self. w ] + = 1 self. store [ di ] [ h [ di ] % self. w ]. self _ check ( ) except exception as e : print " exception on insert : ", e | [
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def _ get _ data _ from _ pull _ request ( data _ directory, pull _ request ) : # translate the author to a fake name real _ author = pull _ request ['createdby'] ['displayname'] if real _ author in _ fake _ authors : fake _ author = _ fake _ authors [ real _ author ] else : fake _ author = _ faker. name ( ) _ fake _ a... | [
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def find _ connecting _ edges ( inds, network = none, am = none ) : nodes = np. array ( inds, ndmin = 2 ) # short - circuit function if nodes is an empty list if nodes. size = = 0 : return [ ] if network is not none : edge _ prefix = get _ edge _ prefix ( network ) am = dict _ to _ am ( network, weights = np. arange ( ... | [
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def get _ domain _ max ( self ) : return get _ domain _ max ( self. domain ) | [
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def div ( name ) : return wrap _ html ( " ", " div ", id = name ) | [
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def gen _ next _ floats _ range ( self, low, high, amount ) : floats = self. gen _ next _ floats ( amount ) return floats * ( high - low ) + low | [
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def test _ create _ group ( self ) : url = reverse ('group - create') data = {'name':'secsi ','description':'secsi, do you speak it ','creator': self. user. id } response = self. client. post ( url + ". json ", data ) self. assertequal ( response. status _ code, status. http _ 201 _ created ) | [
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0.... |
def short _ tl ( self ) : return self. ci _ field [ 0 ] in ( 0x61, 0x65, 0x6a, 0x6e, 0x74, 0x7a, 0x7b, 0x7d, 0x7f, 0x8a ) | [
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def detect _ phrases ( input _ dir, phrase _ model _ fp, phrase _ dump _ fp, common _ words, min _ count, threshold, token _ key, max _ layers = 2 ) : streamer = spacyreader ( folder = input _ dir, data _ key = get _ sub _ docs, token _ key = token _ key ) phrases = phrases ( streamer, common _ terms = common _ words, ... | [
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def _ _ ne _ _ ( self, other ) : return self. name! = other. name | [
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def _ client _ secret _ basic ( self, client _ id, client _ secret ) : auth _ data = {'identity': {'methods': ['application _ credential'],'application _ credential': {'id': client _ id,'secret': client _ secret } } } try : token = authentication. authenticate _ for _ token ( auth _ data ) except exception. error as er... | [
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def get _ all _ actors ( ) : # vtk supports implicit functions of the form f ( x, y, z ) = constant. these # functions can represent things spheres, cones, etc. here we use a # general form for a quadric to create an elliptical data field. quadric = vtk. vtkquadric ( ) quadric. setcoefficients (. 5, 1,. 2, 0,. 1, 0, 0,... | [
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def _ _ len _ _ ( self ) : return len ( self. conditionlist ) | [
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def gastep ( self, config ) : self. updatematingpool ( ) if config = = 1 : self. newgeneration1 ( ) elif config = = 2 : self. newgeneration2 ( ) elif config = = 3 : self. newgeneration3 ( ) elif config = = 4 : self. newgeneration4 ( ) elif config = = 5 : self. newgeneration5 ( ) elif config = = 6 : self. newgeneration6... | [
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... |
def match _ statistics ( ) : print ('home wins [ % ] : ', win _ statistics ( ) [ 0 ] * 100 ) print ('draws [ % ] : ', win _ statistics ( ) [ 1 ] * 100 ) print ('away wins [ % ] : ', win _ statistics ( ) [ 2 ] * 100 ) print ('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -') print ('b... | [
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... |
def get _ costs ( date ) : with open ('products. csv ', newline ='' ) as csv _ file : costs = 0 product _ reader = csv. dictreader ( csv _ file ) sold _ products = [ product for product in product _ reader if product ['sell _ date'] ] for sold _ product in sold _ products : if sold _ product ['sell _ date'] = = date : ... | [
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def add _ edge ( self, node, neighbor, weight, timestamp ) : # assign value as a negative logarithm for bellman ford # to find a negative cycle self. graph [ node ] [ neighbor ] = [ - math. log10 ( weight ), timestamp ] # add neighbor node to graph self. add _ node ( neighbor ) # inverse conversion rate from neighbor g... | [
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0.44440141320228577,
... |
def validatecnv ( filepath ) : print ( " validating cnv file " ) total _ error = " " warning = " " cnvdf = pd. read _ csv ( filepath, sep = " \ t ", comment = " # " ) cnvdf. columns = [ col. upper ( ) for col in cnvdf. columns ] if cnvdf. columns [ 0 ]! = " hugo _ symbol " : total _ error + = " your cnv file's first co... | [
-0.3319409191608429,
-0.5912805199623108,
0.8250679969787598,
0.12082410603761673,
0.1684512346982956,
0.40137627720832825,
0.4330816864967346,
0.4759591817855835,
-0.6717764735221863,
0.3664163053035736,
-0.556058406829834,
0.5149656534194946,
0.10962920635938644,
-0.09873908013105392,
... |
def count _ words ( doc ) : # normalize the string normalize _ doc =''. join ( c. lower ( ) if c. isalpha ( ) else'' for c in doc ) frequencies = { } for word in normalize _ doc. split ( ) : frequencies [ word ] = frequencies. get ( word, 0 ) + 1 return frequencies | [
0.38719597458839417,
0.137764111161232,
0.3779589533805847,
-0.2931337356567383,
-0.8235517144203186,
-0.3801913559436798,
0.27146434783935547,
0.7684602737426758,
-0.10980155318975449,
0.08559548109769821,
-0.6902217268943787,
-0.11402952671051025,
-0.7859337329864502,
0.7289445996284485,... |
def test _ boostable ( self, * _ ) : self. asserttrue ( models. status ( privacy = " public " ). boostable ) self. asserttrue ( models. status ( privacy = " unlisted " ). boostable ) self. assertfalse ( models. status ( privacy = " followers " ). boostable ) self. assertfalse ( models. status ( privacy = " direct " ). ... | [
0.02787032164633274,
0.9064748287200928,
0.4088650643825531,
1.2774628400802612,
1.0805622339248657,
1.0495835542678833,
-0.5448845028877258,
-0.3712940216064453,
-0.38187432289123535,
-0.29025712609291077,
-1.196456789970398,
0.06310497969388962,
-0.043942999094724655,
0.7771593928337097,... |
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