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21,201
[ 0.008881968446075916, 0.0399833619594574, 0.02166248857975006, -0.023333296179771423, 0.0072169615887105465, 0.027521919459104538, -0.0193187166005373, 0.012855938635766506, -0.009554932825267315, 0.029123108834028244, 0.02875181846320629, -0.011016889475286007, 0.01740424893796444, -0.021...
8
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def checkConfig(self, name, image='buildbot/buildbot-worker', namespace=None, masterFQDN=None, kube_config=None, **kwargs): super().checkConfig(name, None, **kwargs) kubeclientservice...
21,202
[ 0.002804391784593463, 0.014956756494939327, 0.05611049756407738, -0.001951743382960558, -0.04040590301156044, 0.016214484348893166, 0.000876726524438709, 0.015217366628348827, -0.038819581270217896, 0.04221884533762932, -0.003815672593191266, 0.006991150323301554, 0.03295018896460533, -0.0...
9
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def reconfigService(self, name, image='buildbot/buildbot-worker', namespace=None, masterFQDN=None, kube_config=None, **kwargs): # Set build_wait_timeout to 0 if not ex...
21,203
[ 0.02982008457183838, 0.03165019676089287, -0.01754755899310112, -0.007153590675443411, -0.022413507103919983, 0.03742043673992157, -0.0016349911456927657, 0.05447278916835785, 0.01948532648384571, -0.010463942773640156, 0.023856068029999733, 0.01633107103407383, -0.018796341493725777, -0.0...
10
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def stop_instance(self, fast=False, reportFailure=True): self.current_pod_spec = None self.resetWorkerPropsOnStop() try: yield self._kube.deletePod(self.namespace, self.getContainerName()) except kubeclientservice.KubeError as e: if reportFailure and e.reason != '...
21,204
[ 0.008936058729887009, 0.03884735703468323, 0.031217876821756363, -0.013135773129761219, 0.009513519704341888, -0.009233538061380386, 0.012190837413072586, 0.034927625209093094, 0.01249414961785078, 0.0031876997090876102, 0.009531018324196339, 0.013159104622900486, -0.00946685578674078, -0....
10
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def start_instance(self, build): yield self.stop_instance(reportFailure=False) pod_spec = yield self.renderWorkerPropsOnStart(build) try: yield self._kube.createPod(self.namespace, pod_spec) except kubeclientservice.KubeError as e: raise LatentWorkerFailedToSubsta...
21,205
[ -0.019935792312026024, -0.01811540313065052, -0.012717442587018013, -0.023273173719644547, 0.021301085129380226, -0.019253145903348923, -0.0313764326274395, 0.003149336902424693, -0.01720520853996277, 0.019581828266382217, 0.036559488624334335, -0.052235063165426254, 0.04341123253107071, -...
14
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def profile_stats(request): user = request.user if is_instructor(user) and is_email_checked(user): profiles = Profile.objects.all() rworkshops = RequestedWorkshop.objects.filter(status='ACCEPTED') pworkshops = ProposeWorkshopDate.objects.filter(status='ACCEPTED') iprofile = Pro...
21,206
[ -0.013132195919752121, -0.014885715208947659, 0.013618573546409607, -0.0383470356464386, 0.02982262894511223, -0.00943316612392664, -0.03258730098605156, -0.007212468422949314, -0.007545252796262503, 0.03448161482810974, 0.04395317658782005, -0.04359479621052742, 0.010617111809551716, -0.0...
16
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def workshop_stats(request): user = request.user today = datetime.now() upto = today + dt.timedelta(days=15) #For Monthly Chart workshop_count = monthly_accepted_chart() #For Monthly Workshop Mean workshop_mean = monthly_avg() # For Pie Chart workshoptype_count = pie_chart() ...
21,207
[ 0.03543718531727791, -0.013043006882071495, 0.012888259254395962, -0.03327072039246559, -0.04472203925251961, -0.03629935160279274, 0.027147138491272926, 0.05504591017961502, -0.03647620603442192, -0.022924741730093956, -0.0010998127982020378, -0.02683764509856701, -0.021963097155094147, -...
8
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def batch_reader(): r = reader() b = [] for instance in r: b.append(instance) if len(b) == batch_size: yield b b = [] if b: yield b
21,208
[ 0.03785918653011322, 0.020759711042046547, 0.08802205324172974, -0.027562016621232033, -0.00687947915866971, -0.010407417081296444, 0.02202756330370903, 0.00020878227951470762, -0.04678927734494209, 0.010247557424008846, -0.023747432976961136, 0.010600351728498936, 0.0009977449662983418, 0...
10
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class Migration(migrations.Migration): dependencies = [ ('students', '0001_initial'), ('courses', '0001_initial'), ] operations = [ migrations.AddField( model_name='certificate', name='assignment', field=models.OneToOneField(to='students.CourseAs...
21,209
[ 0.0380169078707695, -0.02100381627678871, -0.003763183718547225, 0.044014666229486465, 0.013792506419122219, -0.021132173016667366, 0.027421649545431137, 0.007514698896557093, 0.03444625809788704, 0.06133114546537399, 0.009089984931051731, -0.022602440789341927, -0.05591682717204094, 0.004...
10
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def clean(self, value): super(USPhoneNumberField, self).clean(value) if value in EMPTY_VALUES: return '' value = re.sub(r'\D+', '', smart_text(value)) if len(value) == 10: value = '1' + value elif len(value) != 11 or value[0] != '1': raise for...
21,210
[ -0.0008028569282032549, -0.04728065803647041, -0.03047340176999569, -0.022808169946074486, 0.047585390508174896, -0.02232762798666954, -0.011673657223582268, -0.01020273007452488, 0.03234868869185448, -0.06685395538806915, -0.00503690168261528, -0.062259506434202194, -0.010929402895271778, ...
7
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class PhilipsHue(Interface): exchange = messages.Exchanges.node measurement_key = 'actuator.light' bridge_id = field.Char() access_token = field.Char() light_id = field.Integer() def data(self, data=None): pass def parse_data(self, data): pass
21,211
[ 0.02083725295960903, 0.01388075016438961, 0.021181315183639526, 0.05199636518955231, -0.0024205297231674194, -0.04326579347252846, 0.023632757365703583, 0.03644906356930733, -0.000013807418326905463, 0.033374011516571045, -0.04382489249110222, -0.012106680311262608, -0.005553375463932753, ...
8
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class SendToDeviceWidgetForm(forms.Form): number = USPhoneNumberField(required=False) email = forms.EmailField(max_length=100, required=False) platform = forms.ChoiceField(choices=( ('ios', 'ios'), ('android', 'android'), ('all', 'all'), ))
21,212
[ -0.009836597368121147, -0.04634229466319084, 0.06880047917366028, -0.019105056300759315, -0.02809501625597477, -0.029921971261501312, -0.0031693228520452976, 0.029565492644906044, -0.002702836412936449, -0.018113598227500916, 0.012098012492060661, -0.01603042334318161, -0.0108781848102808, ...
8
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def setUp(self): super(TestClientRedirects, self).setUp() self.port_one = utils.get_unused_port() self.port_two = utils.get_unused_port() server_one = wsgi.Server() server_two = wsgi.Server() self.config(bind_host='127.0.0.1') self.config(workers=0) server...
21,213
[ 0.007054008077830076, -0.015562450513243675, 0.008479353971779346, -0.04340032860636711, 0.008794480934739113, -0.048946574330329895, -0.005294141825288534, -0.020362084731459618, 0.00809150468558073, 0.014495864510536194, -0.01001620665192604, 0.006641917861998081, -0.012711758725345135, ...
10
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "Convert a CSV file to a custom output format."}}, "targets": [{"_type": "Name", "_fields": {"id": "description", "ctx": {"_type": "Store"...
class CSVFormat(CSVKitUtility): description = 'Convert a CSV file to a custom output format.' override_flags = ['l', 'zero', 'H'] def add_arguments(self): self.argparser.add_argument('-D', '--out-delimiter', dest='out_delimiter', help='Delimiting character of the output CSV file.') ...
21,214
[ 0.04114658385515213, 0.005780015606433153, 0.026872094720602036, -0.010045593604445457, -0.047497786581516266, 0.00853639654815197, -0.017764508724212646, -0.016464922577142715, 0.024880792945623398, 0.024503493681550026, -0.02217681333422661, 0.0066551403142511845, 0.02211393043398857, 0....
8
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def add_arguments(self): self.argparser.add_argument('-D', '--out-delimiter', dest='out_delimiter', help='Delimiting character of the output CSV file.') self.argparser.add_argument('-T', '--out-tabs', dest='out_tabs', action='store_true', help='Specifies that the output CSV file ...
21,215
[ 0.03521221876144409, -0.010516664013266563, 0.019388262182474136, -0.059183161705732346, -0.009650067426264286, -0.03779732063412666, 0.022521719336509705, -0.005865439306944609, -0.01722421869635582, 0.0007264478481374681, -0.018761571496725082, -0.03464427962899208, 0.0035275868140161037, ...
9
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def _extract_csv_writer_kwargs(self): kwargs = {} if self.args.out_tabs: kwargs['delimiter'] = '\t' elif self.args.out_delimiter: kwargs['delimiter'] = self.args.out_delimiter if self.args.out_quotechar: kwargs['quotechar'] = self.args.out_quotechar ...
21,216
[ -0.020082710310816765, 0.03470628336071968, 0.007317962124943733, -0.027542710304260254, 0.061557337641716, 0.03201376646757126, -0.01669853925704956, -0.033520590513944626, -0.010986206121742725, 0.02485019341111183, 0.05385031923651695, -0.04651383310556412, 0.007212978787720203, 0.03972...
11
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class AboutWithStatements(Koan): def count_lines(self, file_name): try: file = open(file_name) try: return len(file.readlines()) finally: file.close() except IOError: # should never happen self.fail() de...
21,217
[ 0.010477029718458652, 0.03762022405862808, 0.025100374594330788, -0.03393910452723503, 0.02505992352962494, -0.0359819233417511, 0.016241420060396194, -0.020033780485391617, -0.026657771319150925, 0.059868741780519485, 0.041786763817071915, -0.025464441627264023, 0.04316212609410286, 0.025...
10
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def count_lines(self, file_name): try: file = open(file_name) try: return len(file.readlines()) finally: file.close() except IOError: # should never happen self.fail()
21,218
[ 0.03742925822734833, 0.0370466373860836, 0.0069940718822181225, -0.02372245118021965, -0.004599882289767265, -0.022563336417078972, 0.008772130124270916, 0.0004782752366736531, -0.02354239486157894, 0.034908466041088104, 0.03981500491499901, -0.024960340932011604, 0.02968682534992695, 0.05...
10
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def find_line(self, file_name): try: file = open(file_name) try: for line in file.readlines(): match = re.search('e', line) if match: return line finally: file.close() exce...
21,219
[ 0.04514717310667038, 0.031492795795202255, 0.025576651096343994, -0.03369729220867157, -0.02676887810230255, 0.024384422227740288, 0.03144780918955803, 0.019896699115633965, 0.03680158406496048, -0.009194771759212017, 0.007996921427547932, -0.04786905273795128, 0.01257462427020073, -0.0035...
10
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def deleteLogsFromOldActivations(args): db = couchdb.client.Server(args.dbUrl)[args.dbName] endkey = long(time.time() * 1000) - args.days * DAY while True: activations = db.view("logCleanup/byDateWithLogs", limit=args.docsPerRequest, start_key=0, end_key=endkey, include_docs=True) if activat...
21,220
[ 0.013966184109449387, 0.002880196087062359, 0.04882366955280304, -0.03613289073109627, -0.005507419817149639, 0.01348131988197565, -0.011699972674250603, 0.016696177423000336, 0.02135508507490158, 0.038177747279405594, -0.0024546226486563683, -0.05299771577119827, 0.005257082171738148, 0.0...
9
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class StatusCommand(Command): def run(self, args, opts): # type: (List[str], Any) -> None if len(args) < 1: raise UsageError() elif len(args) > 1: raise UsageError( "running 'scrapy crawl' with more than one spider is no longer supported") spna...
21,221
[ 0.015218861401081085, 0.014940793626010418, 0.0687469020485878, -0.06087544560432434, -0.03392426297068596, -0.016512945294380188, -0.004534643143415451, 0.021389825269579887, 0.01656641997396946, 0.019700029864907265, 0.006342083215713501, -0.06729239225387573, -0.015742911025881767, 0.00...
8
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def run(self, args, opts): # type: (List[str], Any) -> None if len(args) < 1: raise UsageError() elif len(args) > 1: raise UsageError( "running 'scrapy crawl' with more than one spider is no longer supported") spname = args[0] crawler = se...
21,222
[ -0.02011374570429325, -0.002845736686140299, -0.01423836313188076, 0.005401092115789652, -0.024333953857421875, 0.017577748745679855, 0.034497298300266266, -0.023559601977467537, -0.06671026349067688, 0.014615858905017376, -0.014422271400690079, -0.010221421718597412, 0.017916526645421982, ...
10
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def alinear(x1,y1,x2,y2,dim_1_x,dim_1_y,dim_2_x,dim_2_y, actual): # 1: Referencia 2: Pos. de la imagen actual diferencia_x = x1 - x2 diferencia_y = y1 - y2 matriz_final = np.zeros((dim_1_x,dim_1_y)) for i in range(dim_2_x): for j in range(dim_2_y): x = i + diferencia_x ...
21,223
[ -0.007701773662120104, -0.005627583712339401, 0.026686260476708412, -0.04720228910446167, -0.029198426753282547, -0.036690853536129, -0.006869893986731768, -0.020207514986395836, 0.02595905400812626, 0.02911028079688549, -0.014874670654535294, -0.03138004615902901, 0.04601231589913368, -0....
12
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def __get_testrail_testcases(tests): testcases = [] for testclass_obj, tests_list in tests.iteritems(): default_section = get_section(testclass_obj) default_suite = get_suite(testclass_obj) for test in tests_list: if test[1].__doc__ is not None: title = get_te...
21,224
[ 0.03691558912396431, -0.014123283326625824, 0.007374689448624849, -0.0013026109663769603, 0.04912446439266205, 0.0762874037027359, 0.00263532274402678, -0.03217170760035515, 0.04324879124760628, 0.015989530831575394, 0.016362780705094337, 0.015905248001217842, 0.007808140479028225, 0.03872...
12
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class DenseTest(test.TestCase): def testDenseProperties(self): dense = core_layers.Dense(2, activation=nn_ops.relu, name='my_dense') self.assertEqual(dense.units, 2) self.assertEqual(dense.activation, nn_ops.relu) self.assertEqual(dense.kernel_regularizer, None) self.assertEqual(dense.bias_regula...
21,225
[ 0.02195744402706623, -0.00611846661195159, 0.01296068262308836, -0.04101989045739174, 0.05153096094727516, 0.06458071619272232, -0.014753353781998158, -0.04792334884405136, 0.025052865967154503, 0.01027724239975214, -0.02667851746082306, 0.014619738794863224, -0.014319104142487049, 0.03126...
9
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def testDenseProperties(self): dense = core_layers.Dense(2, activation=nn_ops.relu, name='my_dense') self.assertEqual(dense.units, 2) self.assertEqual(dense.activation, nn_ops.relu) self.assertEqual(dense.kernel_regularizer, None) self.assertEqual(dense.bias_regularizer, None) self.assertEqual(d...
21,226
[ 0.017353296279907227, -0.0209946446120739, 0.005698139779269695, -0.031406622380018234, 0.06613597273826599, 0.03673209249973297, 0.021882222965359688, -0.007840276695787907, 0.020209478214383125, 0.007424935232847929, -0.01946982927620411, 0.008318203501403332, 0.010377840138971806, 0.051...
10
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def testCall(self): dense = core_layers.Dense(2, activation=nn_ops.relu, name='my_dense') inputs = random_ops.random_uniform((5, 2), seed=1) _ = dense(inputs) self.assertListEqual(dense.variables, [dense.kernel, dense.bias]) self.assertListEqual(dense.trainable_variables, [dense.kernel, dense.bias])...
21,227
[ 0.009734675288200378, 0.005086397752165794, -0.013143612071871758, -0.017044683918356895, 0.03598589077591896, 0.04580458998680115, -0.000513141043484211, 0.00155292684212327, 0.035817842930555344, 0.025446994230151176, -0.011319111101329327, 0.006847882177680731, -0.002102077705785632, 0....
10
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def testNonTrainable(self): dense = core_layers.Dense(2, trainable=False, name='my_dense') inputs = random_ops.random_uniform((5, 2), seed=1) _ = dense(inputs) self.assertListEqual(dense.variables, [dense.kernel, dense.bias]) self.assertListEqual(dense.non_trainable_variables, ...
21,228
[ 0.03686189278960228, -0.009519084356725216, -0.010882355272769928, 0.021538490429520607, 0.055197592824697495, 0.04067191109061241, 0.015251966193318367, -0.01726412959396839, 0.019097700715065002, 0.018252352252602577, -0.01320408284664154, 0.006709198001772165, 0.015728218480944633, 0.05...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testNoBias(self): dense = core_layers.Dense(2, use_bias=False, name='my_dense') inputs = random_ops.random_uniform((5, 2), seed=1) _ = dense(inputs) self.assertListEqual(dense.variables, [dense.kernel]) self.assertListEqual(dense.trainable_variables, [dense.kernel]) self.assertListEqual(dens...
21,229
[ 0.03372444584965706, -0.03679255396127701, 0.03216565027832985, 0.0005149596836417913, 0.03609975799918175, 0.0036186357028782368, 0.0010067230323329568, -0.005412489175796509, 0.021414900198578835, 0.006631072610616684, 0.02010353095829487, 0.0006568442331627011, 0.03394713252782822, -0.0...
8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testCallOnPlaceHolder(self): inputs = array_ops.placeholder(dtype=dtypes.float32) dense = core_layers.Dense(4, name='my_dense') with self.assertRaises(ValueError): dense(inputs) inputs = array_ops.placeholder(dtype=dtypes.float32, shape=[None, None]) dense = core_layers.Dense(4, name='my_...
21,230
[ 0.0014090283075347543, -0.03818846121430397, 0.045156337320804596, -0.027332060039043427, 0.0675659254193306, 0.043425608426332474, 0.002729553496465087, 0.012238739058375359, 0.0036384679842740297, -0.0005626279744319618, -0.026320593431591988, 0.03524396941065788, 0.008945855312049389, 0...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testOutputShape(self): dense = core_layers.Dense(7, activation=nn_ops.relu, name='my_dense') inputs = random_ops.random_uniform((5, 3), seed=1) outputs = dense.apply(inputs) self.assertEqual(outputs.get_shape().as_list(), [5, 7]) inputs = random_ops.random_uniform((5, 2, 3), seed=1) outputs...
21,231
[ 0.019505508244037628, 0.018897898495197296, 0.014855434186756611, 0.02406877838075161, 0.0633401945233345, 0.06889548897743225, 0.012226592749357224, 0.0013299209531396627, 0.02715642750263214, 0.04357428476214409, -0.03566296026110649, 0.021960746496915817, -0.028520449995994568, 0.009907...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testActivityRegularizer(self): regularizer = lambda x: math_ops.reduce_sum(x) * 1e-3 dense = core_layers.Dense( 2, name='my_dense', activity_regularizer=regularizer) inputs = random_ops.random_uniform((5, 3), seed=1) _ = dense(inputs) loss_keys = ops.get_collection(ops.GraphKeys.REGULARI...
21,232
[ 0.025173882022500038, -0.016507463529706, 0.018765777349472046, -0.03572031855583191, 0.07001916319131851, 0.052365344017744064, 0.017642352730035782, -0.008058852516114712, 0.014317932538688183, -0.0016693746438249946, -0.03443640470504761, 0.034367624670267105, -0.007726410403847694, 0.0...
8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testActivation(self): dense = core_layers.Dense(2, activation=nn_ops.relu, name='dense1') inputs = random_ops.random_uniform((5, 3), seed=1) outputs = dense(inputs) self.assertEqual(outputs.op.name, 'dense1/Relu') dense = core_layers.Dense(2, name='dense2') inputs = random_ops.random_unifor...
21,233
[ 0.01680857315659523, 0.028545085340738297, 0.0131991533562541, 0.024369481950998306, 0.04491722583770752, 0.06586601585149765, 0.004393820185214281, 0.008156581781804562, 0.027294764295220375, 0.04659218713641167, -0.046662960201501846, 0.030054908245801926, -0.024487437680363655, 0.019214...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testKernelRegularizer(self): regularizer = lambda x: math_ops.reduce_sum(x) * 1e-3 dense = core_layers.Dense( 2, name='my_dense', kernel_regularizer=regularizer) inputs = random_ops.random_uniform((5, 3), seed=1) _ = dense(inputs) loss_keys = ops.get_collection(ops.GraphKeys.REGULARIZATI...
21,234
[ 0.02702890895307064, 0.018802719190716743, 0.03983336314558983, -0.0004253870283719152, 0.027836838737130165, 0.058562636375427246, 0.000755138520617038, 0.014787554740905762, 0.007889552041888237, 0.04472990706562996, -0.04470542445778847, 0.004097793251276016, -0.008721964433789253, 0.03...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testKernelRegularizerWithReuse(self): regularizer = lambda x: math_ops.reduce_sum(x) * 1e-3 inputs = random_ops.random_uniform((5, 3), seed=1) _ = core_layers.dense( inputs, 2, name='my_dense', kernel_regularizer=regularizer) self.assertEqual( len(ops.get_collection(ops.GraphKeys.REG...
21,235
[ 0.041571613401174545, 0.013646387495100498, 0.009316517971456051, 0.04458792880177498, 0.03950398042798042, 0.07706195116043091, -0.0025495756417512894, -0.008063774555921555, 0.012770683504641056, 0.044612254947423935, -0.03884720429778099, 0.02020200528204441, -0.013901800848543644, 0.02...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testBiasRegularizer(self): regularizer = lambda x: math_ops.reduce_sum(x) * 1e-3 dense = core_layers.Dense(2, name='my_dense', bias_regularizer=regularizer) inputs = random_ops.random_uniform((5, 3), seed=1) _ = dense(inputs) loss_keys = ops.get_collection(ops.GraphKeys.REGULARIZATION_LOSSES) ...
21,236
[ 0.023185210302472115, -0.0015873046359047294, 0.009927643463015556, -0.04515276104211807, 0.061628423631191254, 0.02954685315489769, 0.024365592747926712, -0.009113799780607224, 0.031808219850063324, -0.0015088713262230158, -0.013443942181766033, 0.014201872982084751, -0.0025518019683659077,...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testFunctionalDense(self): inputs = random_ops.random_uniform((5, 3), seed=1) outputs = core_layers.dense( inputs, 2, activation=nn_ops.relu, name='my_dense') self.assertEqual( len(ops.get_collection(ops.GraphKeys.TRAINABLE_VARIABLES)), 2) self.assertEqual(outputs.op.name, 'my_dense/...
21,237
[ 0.029383838176727295, -0.015512410551309586, 0.03615289181470871, -0.028768470510840416, 0.030281251296401024, 0.043409109115600586, 0.02505061961710453, -0.025640347972512245, 0.008576696738600731, -0.004823590628802776, 0.00411848071962595, -0.020153313875198364, 0.004256297834217548, 0....
8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testFunctionalDenseTwiceReuseFromScope(self): with variable_scope.variable_scope('scope'): inputs = random_ops.random_uniform((5, 3), seed=1) core_layers.dense(inputs, 2, name='my_dense') vars1 = variables.trainable_variables() with variable_scope.variable_scope('scope', reuse=True): ...
21,238
[ 0.0021046537440270185, -0.005211366806179285, 0.03747173771262169, -0.027503885328769684, 0.03852653503417969, 0.03826283663511276, 0.026660047471523285, -0.03438644856214523, 0.028374094516038895, 0.017641514539718628, -0.005056443158537149, -0.015268216840922832, 0.010666655376553535, 0....
7
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testFunctionalDenseTwice(self): inputs = random_ops.random_uniform((5, 3), seed=1) core_layers.dense(inputs, 2) vars1 = variables.trainable_variables() core_layers.dense(inputs, 2) vars2 = variables.trainable_variables() self.assertEqual(len(vars1), 2) self.assertEqual(len(vars2), 4)
21,239
[ 0.03567805886268616, -0.020626377314329147, 0.008446313440799713, -0.01956329494714737, 0.027406765148043633, 0.017333416268229485, -0.0033172685652971268, -0.011544807814061642, 0.0056427596136927605, -0.026732614263892174, 0.008925996720790863, 0.0033091658260673285, -0.010144651867449284,...
8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testFunctionalDenseWithCustomGetter(self): called = [0] def custom_getter(getter, *args, **kwargs): called[0] += 1 return getter(*args, **kwargs) with variable_scope.variable_scope('test', custom_getter=custom_getter): inputs = random_ops.random_uniform((5, 3), seed=1) core_lay...
21,240
[ 0.048565253615379333, 0.019372491165995598, 0.00915624387562275, 0.002968316664919257, 0.04098683223128319, -0.005144675727933645, 0.038281992077827454, 0.008065779693424702, 0.04279005900025368, 0.03328657150268555, 0.0155832814052701, 0.018409959971904755, -0.04176660627126694, 0.0237587...
11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testFunctionalDenseInitializerFromScope(self): with self.test_session() as sess: with variable_scope.variable_scope( 'scope', initializer=init_ops.ones_initializer()): inputs = random_ops.random_uniform((5, 3), seed=1) core_layers.dense(inputs, 2) sess.run(variables.globa...
21,241
[ 0.003906602971255779, -0.05715175345540047, 0.028989387676119804, -0.019250085577368736, 0.08644583076238632, 0.047314513474702835, -0.012971227988600731, 0.023787839338183403, 0.002204945543780923, 0.01129541452974081, -0.01885833777487278, 0.05349543318152428, 0.02112177200615406, 0.0307...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testComputeOutputShape(self): dense = core_layers.Dense(2, activation=nn_ops.relu, name='dense1') ts = tensor_shape.TensorShape # pylint: disable=protected-access with self.assertRaises(ValueError): dense._compute_output_shape(ts(None)) with self.assertRaises(ValueError): dense._comp...
21,242
[ 0.01803174801170826, -0.0003005687613040209, 0.014557275921106339, -0.02206416428089142, 0.025246983394026756, 0.01812051236629486, 0.018779899924993515, -0.04922591149806976, 0.030965913087129593, -0.0030037062242627144, 0.022901080548763275, 0.009123658761382103, -0.017993707209825516, 0...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testFunctionalDenseInScope(self): with variable_scope.variable_scope('test'): inputs = random_ops.random_uniform((5, 3), seed=1) core_layers.dense(inputs, 2, name='my_dense') var = variables.trainable_variables()[0] self.assertEqual(var.name, 'test/my_dense/kernel:0') with variable_s...
21,243
[ 0.00838107243180275, -0.01107183750718832, 0.018098074942827225, -0.04237167909741402, 0.015892529860138893, 0.03937213495373726, 0.03541475906968117, 0.047337304800748825, 0.04721127450466156, 0.04799266904592514, 0.022471357136964798, -0.019534830003976822, -0.025521311908960342, 0.00408...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testBooleanLearningPhase(self): with self.test_session() as sess: dp = core_layers.Dropout(0.5) inputs = array_ops.ones((5, 3)) dropped = dp.apply(inputs, training=True) sess.run(variables.global_variables_initializer()) np_output = sess.run(dropped) self.assertAlmostEqual(0....
21,244
[ 0.02001478336751461, -0.0076563311740756035, 0.017442157492041588, -0.05765635892748833, 0.004763666074723005, 0.049950793385505676, -0.00460980087518692, 0.04086659103631973, 0.023818328976631165, 0.03892173618078232, 0.016543583944439888, -0.003375801956281066, -0.0265386663377285, 0.011...
10
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs...
class DropoutTest(test.TestCase): def testDropoutProperties(self): dp = core_layers.Dropout(0.5, name='dropout') self.assertEqual(dp.rate, 0.5) self.assertEqual(dp.noise_shape, None) dp.apply(np.ones(())) self.assertEqual(dp.name, 'dropout') def testBooleanLearningPhase(self): with self.te...
21,245
[ 0.010566093027591705, -0.026960868388414383, 0.03409907966852188, -0.014777123928070068, 0.02592094987630844, 0.026164881885051727, 0.020901093259453773, 0.03291793912649155, 0.0012974918354302645, 0.005796587094664574, -0.0019370100926607847, 0.025484440848231316, -0.017498888075351715, 0...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testCustomNoiseShape(self): with self.test_session() as sess: inputs = array_ops.ones((5, 3, 2)) noise_shape = [5, 1, 2] dp = core_layers.Dropout(0.5, noise_shape=noise_shape, seed=1) dropped = dp.apply(inputs, training=True) sess.run(variables.global_variables_initializer()) ...
21,246
[ 0.014362316578626633, 0.0004407320520840585, 0.009165993891656399, -0.04346912354230881, 0.02316462993621826, 0.03979532793164253, 0.029908137395977974, 0.05804101750254631, 0.03328605741262436, 0.037280384451150894, 0.028404101729393005, -0.0244467593729496, -0.03306414932012558, -0.00339...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testDynamicLearningPhase(self): with self.test_session() as sess: dp = core_layers.Dropout(0.5, seed=1) inputs = array_ops.ones((5, 5)) training = array_ops.placeholder(dtype='bool') dropped = dp.apply(inputs, training=training) sess.run(variables.global_variables_initializer()) ...
21,247
[ 0.009115400724112988, 0.017623519524931908, 0.006382639054208994, -0.04632680490612984, 0.042013876140117645, 0.05433299019932747, 0.02316340245306492, 0.026546820998191833, 0.045831069350242615, 0.02443993091583252, 0.019420573487877846, -0.030983686447143555, -0.030116142705082893, -0.00...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def testFunctionalDropout(self): with self.test_session() as sess: inputs = array_ops.ones((5, 5)) training = array_ops.placeholder(dtype='bool') dropped = core_layers.dropout(inputs, 0.5, training=training, seed=1) self.assertEqual(dropped.op.name, 'dropout/cond/Merge') sess.run(vari...
21,248
[ -0.002745851408690214, -0.008157436735928059, 0.08124806731939316, -0.027082689106464386, -0.0319538451731205, -0.03125463426113129, -0.05766142159700394, -0.0059840623289346695, 0.017386993393301964, 0.030368970707058907, -0.016314873471856117, -0.060085345059633255, 0.013063551858067513, ...
11
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs...
class ApiParameters(Parameters): @property def address_ranges(self): if self._values['addresses'] is None: return None result = [] for address_range in self._values['addresses']: if '-' not in address_range['name']: continue result.appe...
21,249
[ 0.019739367067813873, -0.03152244910597801, 0.03939225152134895, -0.014982893131673336, -0.014053218066692352, -0.04313256964087486, -0.012464123778045177, 0.006675278767943382, 0.024366118013858795, 0.00014948436000850052, -0.0102047985419631, -0.00863732397556305, 0.043781179934740067, -...
8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def address_lists(self): if self._values['address_lists'] is None: return None result = [] for x in self._values['address_lists']: item = '/{0}/{1}'.format(x['partition'], x['name']) result.append(item) result = sorted(result) return result
21,250
[ 0.01695553958415985, -0.01501491293311119, 0.08662961423397064, -0.015957502648234367, -0.020437579602003098, -0.03599586710333824, -0.04247201979160309, 0.002068154513835907, 0.029586253687739372, 0.0386573001742363, -0.02194572426378727, -0.02956407517194748, 0.01235348079353571, -0.0608...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def address_ranges(self): if self._values['addresses'] is None: return None result = [] for address_range in self._values['addresses']: if '-' not in address_range['name']: continue result.append(address_range['name'].strip()) result = ...
21,251
[ 0.013077206909656525, -0.022006088867783546, 0.06406611204147339, 0.0017275444697588682, 0.013853630982339382, -0.04463331773877144, -0.06211395934224129, 0.01872292160987854, 0.04804958403110504, 0.02307089976966381, -0.011590908281505108, -0.031123530119657516, -0.014962809160351753, -0....
12
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def addresses(self): if self._values['addresses'] is None: return None result = [] for x in self._values['addresses']: if is_valid_ip(x): result.append(str(ip_address(u'{0}'.format(x)))) elif is_valid_ip_interface(x): result.app...
21,252
[ -0.04787483438849449, -0.03347498178482056, 0.035184796899557114, 0.019636163488030434, -0.01892819255590439, 0.020023543387651443, 0.005052638705819845, 0.015882583335042, 0.02320273220539093, 0.049130480736494064, -0.013705240562558174, -0.039539486169815063, -0.04592457786202431, 0.0021...
8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "params", "annotation": null, "type_comment": null}}], "kwarg": nu...
def __init__(self, params=None): super(ModuleParameters, self).__init__(params=params) self.country_iso_map = { 'Afghanistan': 'AF', 'Albania': 'AL', 'Algeria': 'DZ', 'American Samoa': 'AS', 'Andorra': 'AD', 'Angola': 'AO', ...
21,253
[ 0.003996721934527159, -0.020980827510356903, 0.07969364523887634, -0.02782786451280117, -0.028372276574373245, -0.02533612959086895, -0.04078907519578934, 0.0013584144180640578, 0.03270664066076279, 0.05586512014269829, -0.019326651468873024, -0.027115941047668457, -0.016719751060009003, -...
8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def address_ranges(self): if self._values['address_ranges'] is None: return None result = [] for address_range in self._values['address_ranges']: start, stop = address_range.split('-') start = start.strip() stop = stop.strip() start = ...
21,254
[ 0.0178859680891037, -0.010970519855618477, 0.04925820603966713, -0.024261504411697388, -0.011722947470843792, -0.03404881805181503, -0.071222223341465, -0.005189457908272743, -0.011269193142652512, 0.028259139508008957, -0.00025236501824110746, -0.006743135862052441, 0.01515195332467556, -...
8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def address_lists(self): if self._values['address_lists'] is None: return None result = [] for x in self._values['address_lists']: item = fq_name(self.partition, x) result.append(item) result = sorted(result) return result
21,255
[ 0.03829117864370346, 0.014289316721260548, 0.031000947579741478, -0.03896662965416908, 0.03959549963474274, -0.008489741012454033, -0.09488945454359055, -0.027903182432055473, -0.015220976434648037, 0.05436229333281517, 0.006667183246463537, 0.006498320493847132, -0.054734956473112106, -0....
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def fqdns(self): if self._values['fqdns'] is None: return None result = [] for x in self._values['fqdns']: if self.is_valid_hostname(x): result.append(x) else: raise F5ModuleError( "The hostname '{0}' looks i...
21,256
[ 0.005529115442186594, 0.0013836260186508298, 0.0836372971534729, -0.029962847009301186, -0.061779510229825974, 0.011230678297579288, -0.008412230759859085, -0.021178774535655975, 0.01621011644601822, 0.019184844568371773, -0.047336988151073456, 0.006617693696171045, -0.027548573911190033, ...
11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def geo_locations(self): if self._values['geo_locations'] is None: return None result = [] for x in self._values['geo_locations']: if x['region'] is not None and x['region'].strip() != '': tmp = '{0}:{1}'.format(x['country'], x['region']) else:...
21,257
[ 0.013765528798103333, -0.020997725427150726, 0.07950122654438019, -0.014040839858353138, -0.03178778290748596, -0.024248508736491203, -0.04254607483744621, -0.011541866697371006, 0.024523818865418434, 0.037844616919755936, -0.03248664736747742, -0.03610804304480553, -0.014422038570046425, ...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def address_ranges(self): result = [] for item in self._values['addresses']: if '-' not in item['name']: continue start, stop = item['name'].split('-') start = start.strip() stop = stop.strip() start = ip_address(u'{0}'.format(...
21,258
[ 0.020009851083159447, 0.0002238825400127098, 0.11681941151618958, -0.018342362716794014, -0.029347781091928482, 0.001564758364111185, -0.03813782334327698, -0.03327828645706177, 0.024261943995952606, 0.016734428703784943, -0.008522052317857742, -0.031706083565950394, -0.029562171548604965, ...
10
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs...
class ReportableChanges(Changes): @property def addresses(self): result = [] for item in self._values['addresses']: if '-' in item['name']: continue result.append(item['name']) return result @property def address_ranges(self): resu...
21,259
[ 0.02792569436132908, -0.02572358213365078, 0.08334150165319443, -0.022843895480036736, -0.014579922892153263, -0.023594066500663757, -0.01748380810022354, 0.028216082602739334, 0.03085377998650074, 0.02263820357620716, -0.014108041301369667, -0.04326788708567619, 0.03182173892855644, -0.06...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def addresses(self): if self._values['addresses'] is None and self._values['address_ranges'] is None: return None result = [] if self._values['addresses']: result += [dict(name=str(x)) for x in self._values['addresses']] if self._values['address_ranges']: ...
21,260
[ 0.019773516803979874, -0.014164444990456104, 0.1010865569114685, 0.005257733631879091, -0.015643760561943054, -0.033432528376579285, -0.02189386822283268, -0.003883203025907278, 0.026923540979623795, 0.0004946460830979049, -0.0038924487307667732, -0.028205614537000656, 0.008931366726756096, ...
11
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs...
class UsableChanges(Changes): @property def addresses(self): if self._values['addresses'] is None and self._values['address_ranges'] is None: return None result = [] if self._values['addresses']: result += [dict(name=str(x)) for x in self._values['addresses']] ...
21,261
[ 0.00969047099351883, -0.022849857807159424, -0.005283289588987827, 0.008246075361967087, 0.05109843611717224, -0.01939278095960617, -0.018895529210567474, -0.031279440969228745, -0.009950934909284115, 0.0010818163864314556, 0.0007344068726524711, -0.06094874069094658, 0.00959575641900301, ...
10
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "want", "annotation": n...
class Difference(object): def __init__(self, want, have=None): self.want = want self.have = have def compare(self, param): try: result = getattr(self, param) return result except AttributeError: return self.__default(param) def __default(...
21,262
[ 0.026915859431028366, -0.027315080165863037, 0.03231584280729294, -0.01629449613392353, 0.00451224111020565, -0.03964889049530029, -0.011598403565585613, 0.020297205075621605, 0.0035535867791622877, 0.0169038325548172, 0.008341604843735695, -0.019813938066363335, 0.048368703573942184, -0.0...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def address_lists(self): if self._values['address_lists'] is None: return None result = [] for x in self._values['address_lists']: partition, name = x.split('/')[1:] result.append(dict( name=name, partition=partition ...
21,263
[ -0.0033508851192891598, 0.0664171501994133, 0.0019220981048420072, -0.033974114805459976, 0.012598404660820961, 0.03233744576573372, -0.022055456414818764, 0.0032898399513214827, 0.034211695194244385, 0.0462227463722229, 0.02192346751689911, -0.055013254284858704, -0.04273822158575058, 0.0...
11
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "an...
class ModuleManager(object): def __init__(self, *args, **kwargs): self.module = kwargs.get('module', None) self.client = kwargs.get('client', None) self.want = ModuleParameters(params=self.module.params) self.have = ApiParameters() self.changes = UsableChanges() def _upd...
21,264
[ 0.03614393249154091, -0.006861278321594, -0.015576956793665886, -0.030681883916258812, 0.03369387984275818, -0.029647916555404663, -0.00885054375976324, -0.010474547743797302, 0.007912104949355125, -0.006833181716501713, -0.03259247913956642, -0.02160094492137432, -0.0008703034254722297, 0...
8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "param", "annotation": null, "type_comment": null}}], "kwarg": nul...
def __default(self, param): attr1 = getattr(self.want, param) try: attr2 = getattr(self.have, param) if attr1 != attr2: return attr1 except AttributeError: return attr1
21,265
[ 0.016795065253973007, 0.03193557262420654, 0.006434387993067503, -0.01160816103219986, -0.0006918608560226858, 0.06287316232919693, -0.004336646292358637, 0.010124312713742256, 0.028153730556368828, 0.032854773104190826, 0.031357791274785995, -0.03555984050035477, 0.009631884284317493, 0.0...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def exec_module(self): changed = False result = dict() state = self.want.state if state == "present": changed = self.present() elif state == "absent": changed = self.absent() reportable = ReportableChanges(params=self.changes.to_return()) ...
21,266
[ 0.003059339476749301, 0.0030374201014637947, 0.0025755444075912237, 0.013314546085894108, 0.017986536026000977, 0.016946924850344658, 0.033317681401968, -0.021856898441910744, 0.018487554043531418, 0.030737439170479774, 0.016896823421120644, -0.05506185069680214, -0.03990606218576431, 0.05...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def _update_changed_options(self): diff = Difference(self.want, self.have) updatables = Parameters.updatables changed = dict() for k in updatables: change = diff.compare(k) if change is None: continue else: if isinstance...
21,267
[ -0.04799540713429451, -0.010843085125088692, 0.02858348935842514, 0.019896594807505608, 0.03159097209572792, -0.014080476015806198, -0.03576664626598358, 0.02952798828482628, 0.019001806154847145, 0.06666167080402374, 0.012284686788916588, -0.030049948021769524, 0.04081225395202637, -0.019...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def exists(self): uri = "https://{0}:{1}/mgmt/tm/security/firewall/address-list/{2}".format( self.client.provider['server'], self.client.provider['server_port'], transform_name(self.want.partition, self.want.name) ) resp = self.client.api.get(uri) try:...
21,268
[ 0.04488178715109825, 0.015050110407173634, -0.01556384563446045, -0.0063224476762115955, 0.059499893337488174, 0.05819220468401909, 0.03652191162109375, 0.0071455915458500385, 0.015178544446825981, 0.00023898910149000585, -0.0009143613278865814, -0.010455681942403316, -0.05730484426021576, ...
8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def update(self): self.have = self.read_current_from_device() if not self.should_update(): return False if self.module.check_mode: return True self.update_on_device() return True
21,269
[ 0.009789981879293919, 0.013024773448705673, 0.0044852918945252895, 0.01315930113196373, 0.00658576563000679, 0.008524194359779358, -0.02282087132334709, 0.01695054955780506, 0.009447546675801277, 0.026269683614373207, -0.0020301523618400097, -0.005457563325762749, -0.009777752682566643, 0....
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def update_on_device(self): params = self.changes.api_params() uri = "https://{0}:{1}/mgmt/tm/security/firewall/address-list/{2}".format( self.client.provider['server'], self.client.provider['server_port'], transform_name(self.want.partition, self.want.name) )...
21,270
[ 0.028852121904492378, -0.0036434736102819443, 0.011229166761040688, 0.013317312113940716, 0.005811694543808699, -0.03653945028781891, -0.03252331539988518, 0.005645382218062878, 0.0129846865311265, 0.011808180250227451, -0.008999348618090153, 0.009676918387413025, 0.008789918385446072, -0....
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def create_on_device(self): params = self.changes.api_params() params['name'] = self.want.name params['partition'] = self.want.partition uri = "https://{0}:{1}/mgmt/tm/security/firewall/address-list/".format( self.client.provider['server'], self.client.provider['s...
21,271
[ 0.0048180376179516315, 0.0047495486214756966, 0.007206211797893047, -0.0022571522276848555, 0.012482826597988605, 0.021809212863445282, -0.04916899651288986, 0.042093805968761444, 0.047001175582408905, 0.040855053812265396, 0.030873555690050125, -0.03835372254252434, 0.007801766507327557, ...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def remove_from_device(self): uri = "https://{0}:{1}/mgmt/tm/security/firewall/address-list/{2}".format( self.client.provider['server'], self.client.provider['server_port'], transform_name(self.want.partition, self.want.name) ) resp = self.client.api.delete(ur...
21,272
[ -0.014027806930243969, 0.007668141275644302, -0.013414827175438404, 0.0031091042328625917, 0.04000872001051903, -0.00574079155921936, -0.06507015973329544, 0.030012434348464012, 0.021902238950133324, 0.028550712391734123, -0.002541803289204836, -0.042177725583314896, 0.003869435051456094, ...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def read_current_from_device(self): uri = "https://{0}:{1}/mgmt/tm/security/firewall/address-list/{2}".format( self.client.provider['server'], self.client.provider['server_port'], transform_name(self.want.partition, self.want.name) ) resp = self.client.api.get...
21,273
[ 0.01879800111055374, 0.021420186385512352, 0.012509298510849476, 0.015392567031085491, -0.04293118417263031, 0.0021794785279780626, -0.018105562776327133, -0.017276907339692116, 0.04236361384391785, 0.0499463826417923, 0.0066916802898049355, -0.040229540318250656, 0.02697104588150978, -0.0...
13
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs...
class ArgumentSpec(object): def __init__(self): self.supports_check_mode = True argument_spec = dict( description=dict(), name=dict(required=True), addresses=dict(type='list'), address_ranges=dict(type='list'), address_lists=dict(type='list...
21,274
[ 0.012376848608255386, 0.029329493641853333, 0.025382714346051216, 0.027874117717146873, -0.03130288049578667, 0.02789878658950329, 0.0035150989424437284, 0.011482656933367252, 0.04065181314945221, 0.08697711676359177, 0.02379167079925537, -0.026048732921481133, 0.04723799601197243, -0.0234...
12
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def __init__(self): self.supports_check_mode = True argument_spec = dict( description=dict(), name=dict(required=True), addresses=dict(type='list'), address_ranges=dict(type='list'), address_lists=dict(type='list'), geo_locations=di...
21,275
[ 0.0036409334279596806, 0.022228196263313293, 0.01929287053644657, -0.033869147300720215, -0.00887497141957283, 0.04056771099567413, -0.019757002592086792, -0.032965969294309616, 0.013773453421890736, 0.0373564139008522, 0.04159633070230484, -0.022265829145908356, -0.015078042633831501, 0.0...
15
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a...
def main(): module = AnsibleModule( argument_spec = dict( fstype=dict(required=True, aliases=['type']), dev=dict(required=True, aliases=['device']), opts=dict(), force=dict(type='bool', default='no'), resizefs=dict(type='bool', default='no'), ...
21,276
[ 0.005093493964523077, 0.030542520806193352, 0.009762786328792572, -0.02872275561094284, 0.027689917013049126, 0.012529319152235985, -0.027148906141519547, -0.02941131591796875, 0.034870605915784836, 0.059314459562301636, 0.028821121901273727, -0.028378477320075035, 0.015160598792135715, 0....
7
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kw", "annotation": null, "type_comment": null}}, "varar...
def check_fc(self,*k,**kw): kw['compiler']='fc' if not'compile_mode'in kw: kw['compile_mode']='fc' if not'type'in kw: kw['type']='fcprogram' if not'compile_filename'in kw: kw['compile_filename']='test.f90' if not'code'in kw: kw['code']=FC_FRAGMENT return self.check(*k,**kw)
21,277
[ 0.011286030523478985, 0.03804337978363037, 0.04942011460661888, -0.044599901884794235, 0.029154498130083084, 0.024437949061393738, -0.02671847864985466, 0.009873656556010246, 0.0411531925201416, 0.04913504794239998, 0.01845155842602253, -0.0410236194729805, 0.02547455206513405, 0.037965636...
11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kw", "annotation": null, "type_comment": null}}, "varar...
def check_fortran_dummy_main(self,*k,**kw): if not self.env.CC: self.fatal('A c compiler is required for check_fortran_dummy_main') lst=['MAIN__','__MAIN','_MAIN','MAIN_','MAIN'] lst.extend([m.lower()for m in lst]) lst.append('') self.start_msg('Detecting whether we need a dummy main') for main in lst: kw['fo...
21,278
[ 0.0029458331409841776, 0.039225541055202484, -0.031872257590293884, -0.036935172975063324, -0.017430894076824188, 0.045108165591955185, -0.040165796875953674, -0.0038514321204274893, 0.03570560738444328, 0.03249909356236458, 0.02895505353808403, 0.026688797399401665, -0.0017931158654391766, ...
11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kw", "annotation": null, "type_comment": null}}, "varar...
def check_fortran_verbose_flag(self,*k,**kw): self.start_msg('fortran link verbose flag') for x in('-v','--verbose','-verbose','-V'): try: self.check_cc(features='fc fcprogram_test',fragment=FC_FRAGMENT2,compile_filename='test.f',linkflags=[x],mandatory=True) except self.errors.ConfigurationError: pass el...
21,279
[ -0.007756555452942848, 0.017395174130797386, -0.020658161491155624, -0.03862129896879196, 0.004721865523606539, 0.0004273622471373528, -0.002732612658292055, -0.010919313877820969, 0.022562500089406967, 0.04245224595069885, 0.005370565224438906, 0.020067928358912468, 0.009087364189326763, ...
12
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "lexer", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "token", "annotation": null, "type_comment": null}}, {"_type": "a...
def _parse_flink_token(lexer,token,tmp_flags): if _match_ignore(token): pass elif token.startswith('-lkernel32')and sys.platform=='cygwin': tmp_flags.append(token) elif SPACE_OPTS.match(token): t=lexer.get_token() if t.startswith('P,'): t=t[2:] for opt in t.split(os.pathsep): tmp_flags.append('-L%s'%...
21,280
[ -0.012551574036478996, 0.015412768349051476, -0.020393364131450653, -0.035747259855270386, 0.006528938189148903, -0.0007682834984734654, 0.014647427946329117, -0.010190795175731182, 0.03581790626049042, 0.046014588326215744, 0.048016246408224106, 0.0029789383988827467, -0.029718736186623573,...
7
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "line", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "final_flags", "annotation": null, "type_comment": null}}], "kwarg...
def _parse_flink_line(line,final_flags): lexer=shlex.shlex(line,posix=True) lexer.whitespace_split=True t=lexer.get_token() tmp_flags=[] while t: t=_parse_flink_token(lexer,t,tmp_flags) final_flags.extend(tmp_flags) return final_flags
21,281
[ -0.048670798540115356, 0.03011322021484375, -0.013918183743953705, -0.04147300496697426, -0.0023288780357688665, 0.025755371898412704, -0.04808322340250015, -0.03824134171009064, 0.009321632795035839, 0.0695297122001648, 0.026147088035941124, -0.015338156372308731, 0.005306536797434092, 0....
11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "autoadd", "annotation": null, "type_comment": null}}], "kwarg": {...
def check_fortran_clib(self,autoadd=True,*k,**kw): if not self.env.FC_VERBOSE_FLAG: self.fatal('env.FC_VERBOSE_FLAG is not set: execute check_fortran_verbose_flag?') self.start_msg('Getting fortran runtime link flags') try: self.check_cc(fragment=FC_FRAGMENT2,compile_filename='test.f',features='fc fcprogram_test...
21,282
[ 0.043323662132024765, -0.040829889476299286, 0.024779049679636955, -0.02661537379026413, -0.01507600024342537, 0.0014551740605384111, -0.010031774640083313, 0.009215629659593105, -0.001404873444698751, 0.0345727801322937, 0.01729772612452507, -0.007350966800004244, -0.009629369713366032, 0...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "conf", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cmd", "annotation": null, "type_comment": null}}, {"_type": "arg"...
def getoutput(conf,cmd,stdin=False): if stdin: stdin=Utils.subprocess.PIPE else: stdin=None env=conf.env.env or None try: p=Utils.subprocess.Popen(cmd,stdin=stdin,stdout=Utils.subprocess.PIPE,stderr=Utils.subprocess.PIPE,env=env) if stdin: p.stdin.write('\n') out,err=p.communicate() except Exception: ...
21,283
[ 0.0006882218876853585, 0.05559176579117775, 0.02256387658417225, -0.016899248585104942, 0.005451697390526533, 0.03498820215463638, -0.02928301692008972, -0.0016679557738825679, -0.004346486646682024, 0.054375018924474716, 0.029553404077887535, -0.030743110924959183, 0.016344953328371048, 0...
11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kw", "annotation": null, "type_comment": null}}, "varar...
def check_fortran_mangling(self,*k,**kw): if not self.env.CC: self.fatal('A c compiler is required for link_main_routines') if not self.env.FC: self.fatal('A fortran compiler is required for link_main_routines') if not self.env.FC_MAIN: self.fatal('Checking for mangling requires self.env.FC_MAIN (execute "chec...
21,284
[ 0.013691174797713757, 0.000227329321205616, 0.03553829342126846, -0.07159367948770523, -0.002880728803575039, -0.03076694905757904, 0.006134586408734322, -0.0018538908334448934, 0.016758468002080917, 0.00402508769184351, 0.029239177703857422, 0.023186855018138885, 0.026442183181643486, 0.0...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def link_main_routines_tg_method(self): def write_test_file(task): task.outputs[0].write(task.generator.code) bld=self.bld bld(rule=write_test_file,target='main.c',code=MAIN_CODE%self.__dict__) bld(rule=write_test_file,target='test.f',code=ROUTINES_CODE) bld(features='fc fcstlib',source='test.f',target='test') ...
21,285
[ -0.021957116201519966, -0.0063702743500471115, 0.06258591264486313, -0.027432842180132866, -0.017750024795532227, -0.0025616635102778673, 0.0722145140171051, -0.03918667510151863, 0.014529647305607796, 0.011688775382936, -0.041832372546195984, -0.07984799891710281, 0.022770343348383904, -0...
10
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "MAP_WIDGET_HEIGHT"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "MAP_OPTIONS"}}, {"...
class AppSettings(object): defaults = { 'MAP_WIDGET_HEIGHT': 480, 'MAP_OPTIONS': {}, 'MARKER_OPTIONS': {}, 'GOOGLE_MAPS_API_KEY': None, } prefix = 'GEOPOSITION' required_settings = ['GOOGLE_MAPS_API_KEY'] def __init__(self, django_settings): self.django_setti...
21,286
[ 0.0339050255715847, 0.05039217323064804, 0.010941572487354279, -0.052430909126996994, 0.0013559239450842142, 0.020741896703839302, -0.039289940148591995, -0.032929979264736176, 0.04861936345696449, -0.007944412529468536, 0.055444687604904175, -0.02969459630548954, -0.009744924493134022, 0....
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def detect_openmp(self): for x in('-fopenmp','-openmp','-mp','-xopenmp','-omp','-qsmp=omp'): try: self.check_fc(msg='Checking for OpenMP flag %s'%x,fragment='program main\n call omp_get_num_threads()\nend program main',fcflags=x,linkflags=x,uselib_store='OPENMP') except self.errors.ConfigurationError: pass ...
21,287
[ 0.012248295359313488, 0.0018715908518061042, 0.010525151155889034, -0.015985656529664993, 0.005606040358543396, -0.012725653126835823, 0.010001222603023052, -0.023297376930713654, -0.010775472968816757, 0.02424044907093048, 0.0003922190808225423, -0.044359322637319565, -0.002880154177546501,...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "needs_http", "annotation": null, "type_comment": null}}], "kwarg"...
def check_build(self, needs_http): if self.get_option('build') and not self._build_driver(): return False if not self._check_driver(): return False if self.get_option('pixel_tests'): if not self.check_image_diff(): return False if not s...
21,288
[ -0.005330709274858236, -0.01287033874541521, 0.034508734941482544, 0.006818349007517099, 0.009613309055566788, -0.0014932748163118958, 0.01802072674036026, -0.00962457899004221, 0.008706074208021164, 0.03561319410800934, -0.016521817073225975, -0.013005577959120274, -0.024861617013812065, ...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "v...
def __init__(self, **kwargs): base.Port.__init__(self, **kwargs) self._cached_apache_path = None # FIXME: disable pixel tests until they are run by default on the # build machines. if not hasattr(self._options, "pixel_tests") or self._options.pixel_tests == None: sel...
21,289
[ 0.04131264612078667, 0.023641066625714302, 0.01190344337373972, -0.06291650980710983, -0.0046607013791799545, 0.024707047268748283, 0.01909288577735424, 0.00433498527854681, 0.024470163509249687, 0.03510627523064613, 0.020502349361777306, -0.008006693795323372, -0.02315545454621315, 0.0048...
11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "sp", "annotation": null, "type_comment": null}}, {"_type": "arg",...
def _diff_image_reply(self, sp, diff_filename): timeout = 2.0 deadline = time.time() + timeout output = sp.read_line(timeout) while not sp.timed_out and not sp.crashed and output: if output.startswith('Content-Length'): m = re.match('Content-Length: (\d+)', ou...
21,290
[ 0.04171986132860184, 0.03167487308382988, -0.008114169351756573, -0.03570234403014183, 0.0015947007341310382, -0.009470479562878609, 0.013266962952911854, -0.03231453150510788, 0.019959671422839165, 0.028168605640530586, 0.0017501729307696223, -0.013823701068758965, -0.006337343715131283, ...
9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "expected_contents", "annotation": null, "type_comment": null}}, {...
def _diff_image_request(self, expected_contents, actual_contents): # FIXME: There needs to be a more sane way of handling default # values for options so that you can distinguish between a default # value of None and a default value that wasn't set. if self.get_option('tolerance') is not...
21,291
[ 0.009784679859876633, 0.013448948040604591, 0.050057440996170044, -0.009847365319728851, -0.01723288930952549, -0.003345140954479575, -0.03713277354836464, -0.0002703324134927243, -0.0002299072075402364, 0.055528201162815094, -0.03651731461286545, -0.004721378441900015, 0.01918184757232666, ...
7
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def _tests_for_disabled_features(self): # FIXME: This should use the feature detection from # webkitperl/features.pm to match run-webkit-tests. # For now we hard-code a list of features known to be disabled on # the Mac platform. disabled_feature_tests = [ "fast/xhtml...
21,292
[ -0.012291720137000084, -0.005139727611094713, 0.047116443514823914, -0.02567409910261631, -0.006336725316941738, 0.004665291402488947, -0.033243268728256226, -0.023034706711769104, -0.01815946213901043, 0.06679192185401917, -0.05793577432632446, -0.010181296616792679, 0.02702651545405388, ...
11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []...
def _tests_for_other_platforms(self): # By default we will skip any directory under LayoutTests/platform # that isn't in our baseline search path (this mirrors what # old-run-webkit-tests does in findTestsToRun()). # Note this returns LayoutTests/platform/*, not platform/*/*. ent...
21,293
[ 0.032947611063718796, 0.024146394804120064, 0.029116494581103325, -0.04891405254602432, 0.015572975389659405, -0.0028733382932841778, 0.01679479144513607, -0.00999714620411396, 0.02072945237159729, 0.057487472891807556, -0.043198440223932266, -0.022510403767228127, 0.013439974747598171, 0....
10
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def _expectations_from_skipped_files(self): tests_to_skip = [] for filename in self._skipped_file_paths(): if not self._filesystem.exists(filename): _log.warn("Failed to open Skipped file: %s" % filename) continue skipped_file_contents = self._file...
21,294
[ 0.012664282694458961, 0.0198200736194849, 0.014049273915588856, -0.05279757082462311, 0.03290405124425888, 0.008955231867730618, 0.025097733363509178, -0.0026414524763822556, 0.02013484574854374, 0.029462555423378944, -0.0017233706312254071, -0.0009443126618862152, 0.024594098329544067, 0....
9
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def _tests_from_skipped_file_contents(self, skipped_file_contents): tests_to_skip = [] for line in skipped_file_contents.split('\n'): line = line.strip() if line.startswith('#') or not len(line): continue tests_to_skip.append(line) return tests...
21,295
[ 0.03306266665458679, 0.003903091186657548, 0.052512481808662415, -0.06636769324541092, -0.01137097179889679, 0.0015135208377614617, -0.009447197429835796, -0.03282029926776886, -0.009149289689958096, 0.02124735713005066, -0.03821292892098427, -0.012744375504553318, 0.0006993248825892806, -...
8
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def _skips(self): # Each Skipped file contains a list of files # or directories to be skipped during the test run. The total list # of tests to skipped is given by the contents of the generic # Skipped file found in platform/X plus a version-specific file # found in platform/X-ve...
21,296
[ 0.0017367007676512003, -0.0004301664885133505, 0.05869259312748909, -0.014959309250116348, 0.022557375952601433, -0.005402520764619112, 0.05000909045338631, -0.01309432927519083, 0.030648821964859962, 0.045114751905202866, -0.033905137330293655, -0.02595183625817299, 0.04024014621973038, -...
10
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def _path_to_apache(self): if not self._cached_apache_path: # The Apache binary path can vary depending on OS and distribution # See http://wiki.apache.org/httpd/DistrosDefaultLayout for path in ["/usr/sbin/httpd", "/usr/sbin/apache2"]: if self._filesystem.exi...
21,297
[ 0.02645249105989933, 0.0029858630150556564, 0.012019599787890911, -0.0772722065448761, -0.002597803482785821, -0.05346730351448059, 0.021133877336978912, 0.002499690279364586, 0.03331748768687248, 0.03919842094182968, 0.00564370583742857, 0.02328943833708763, -0.030388735234737396, -0.0272...
10
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def run_test(self, driver_input): uri = self._port.filename_to_uri(driver_input.filename) if uri.startswith("file:///"): command = uri[7:] else: command = uri if driver_input.image_hash: command += "'" + driver_input.image_hash command += "\n"...
21,298
[ 0.03098270669579506, -0.022565077990293503, 0.04396335780620575, -0.02525288611650467, 0.007052889093756676, -0.0047114756889641285, -0.0031566107645630836, 0.005932969506829977, 0.01116794254630804, 0.07842563092708588, -0.028274063020944595, 0.01548093557357788, 0.008261360228061676, 0.0...
9
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def cmd_line(self): cmd = self._command_wrapper(self._port.get_option('wrapper')) cmd.append(self._port._path_to_driver()) if self._port.get_option('pixel_tests'): cmd.append('--pixel-tests') cmd.extend(self._port.get_option('additional_drt_flag', [])) cmd.append('-')...
21,299
[ 0.04316013678908348, 0.012813164852559566, 0.005034968256950378, -0.027752332389354706, 0.03870238736271858, -0.03717075288295746, 0.021305745467543602, -0.02395753189921379, 0.015567824244499207, 0.02174009010195732, 0.04658917337656021, 0.01904258131980896, -0.04654345288872719, -0.00773...
13
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def _read_block(self, deadline): LENGTH_HEADER = 'Content-Length: ' HASH_HEADER = 'ActualHash: ' TYPE_HEADER = 'Content-Type: ' ENCODING_HEADER = 'Content-Transfer-Encoding: ' content_type = None encoding = None content_hash = None content_length = None ...
21,300
[ 0.027551880106329918, -0.020745104178786278, 0.10982861369848251, -0.02254490740597248, 0.019865501672029495, 0.01539982296526432, 0.01699664071202278, 0.013099322095513344, -0.037863537669181824, 0.018092762678861618, -0.00938468985259533, -0.033289600163698196, -0.00011407354759285226, 0...
12
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class DB_general(DB) : if db.version() >= (4, 2) : def test_bt_minkey(self) : for i in [17, 108, 1030] : self.db.set_bt_minkey(i) self.assertEqual(i, self.db.get_bt_minkey()) def test_lorder(self) : self.db.set_lorder(1234) ...