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def configuration(): host = os.environ.get("WD_HOST", defaults.DRIVER_HOST) port = int(os.environ.get("WD_PORT", str(defaults.DRIVER_PORT))) capabilities = json.loads(os.environ.get("WD_CAPABILITIES", "{}")) return { "host": host, "port": port, "capabilities": capabilities }
nwjs/chromium.src
[ 136, 133, 136, 45, 1453904223 ]
def current_session(): return _current_session
nwjs/chromium.src
[ 136, 133, 136, 45, 1453904223 ]
def url(server_config): def url(path, protocol="http", domain="", subdomain="", query="", fragment=""): domain = server_config["domains"][domain][subdomain] port = server_config["ports"][protocol][0] host = "{0}:{1}".format(domain, port) return urlunsplit((protocol, host, path, query...
nwjs/chromium.src
[ 136, 133, 136, 45, 1453904223 ]
def inline(url): """Take a source extract and produces well-formed documents. Based on the desired document type, the extract is embedded with predefined boilerplate in order to produce well-formed documents. The media type and character set may also be individually configured. This helper functio...
nwjs/chromium.src
[ 136, 133, 136, 45, 1453904223 ]
def trueDummy(tx): scriptSig = CScript(tx.vin[0].scriptSig) newscript = [] for i in scriptSig: if len(newscript) == 0: assert len(i) == 0 newscript.append(b'\x51') else: newscript.append(i) tx.vin[0].scriptSig = CScript(newscript) tx.rehash()
JeremyRubin/bitcoin
[ 10, 7, 10, 2, 1457071573 ]
def set_test_params(self): self.num_nodes = 1 self.setup_clean_chain = True # This script tests NULLDUMMY activation, which is part of the 'segwit' deployment, so we go through # normal segwit activation here (and don't use the default always-on behaviour). self.extra_args = [[ ...
JeremyRubin/bitcoin
[ 10, 7, 10, 2, 1457071573 ]
def run_test(self): self.nodes[0].createwallet(wallet_name='wmulti', disable_private_keys=True) wmulti = self.nodes[0].get_wallet_rpc('wmulti') w0 = self.nodes[0].get_wallet_rpc(self.default_wallet_name) self.address = w0.getnewaddress() self.pubkey = w0.getaddressinfo(self.addre...
JeremyRubin/bitcoin
[ 10, 7, 10, 2, 1457071573 ]
def _format_value(self, value): raise NotImplementedError()
gltn/stdm
[ 26, 29, 26, 55, 1401777923 ]
def process(value): value = self._format_value(value) if super_proc: value = super_proc(value) return value
gltn/stdm
[ 26, 29, 26, 55, 1401777923 ]
def literal_processor(self, dialect): super_proc = self.string_literal_processor(dialect) def process(value): value = self._format_value(value) if super_proc: value = super_proc(value) return value return process
gltn/stdm
[ 26, 29, 26, 55, 1401777923 ]
def _format_value(self, value): if isinstance(value, int): value = "$[%s]" % value else: value = '$."%s"' % value return value
gltn/stdm
[ 26, 29, 26, 55, 1401777923 ]
def draw(self, context): layout = self.layout layout.operator("object.vertex_group_sort", icon='SORTALPHA', text="Sort by Name").sort_type = 'NAME' layout.operator("object.vertex_group_sort", icon='ARMATURE_DATA', text="Sort by Bone Hierarchy").sort_type = 'BONE_HIERARCHY' layout.operat...
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def draw(self, context): layout = self.layout layout.operator("object.shape_key_transfer", icon='COPY_ID') # icon is not ideal layout.operator("object.join_shapes", icon='COPY_ID') # icon is not ideal layout.operator("object.shape_key_mirror", icon='ARROW_LEFTRIGHT').use_topology = Fa...
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def draw_item(self, context, layout, data, item, icon, active_data, active_propname, index): # assert(isinstance(item, bpy.types.VertexGroup)) vgroup = item if self.layout_type in {'DEFAULT', 'COMPACT'}: layout.prop(vgroup, "name", text="", emboss=False, icon_value=icon) ...
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def draw_item(self, context, layout, data, item, icon, active_data, active_propname, index): # assert(isinstance(item, bpy.types.ShapeKey)) obj = active_data # key = data key_block = item if self.layout_type in {'DEFAULT', 'COMPACT'}: split = layout.split(0.66, False)...
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def draw_item(self, context, layout, data, item, icon, active_data, active_propname, index): # assert(isinstance(item, (bpy.types.MeshTexturePolyLayer, bpy.types.MeshLoopColorLayer))) if self.layout_type in {'DEFAULT', 'COMPACT'}: layout.prop(item, "name", text="", emboss=False, icon_value=i...
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def poll(cls, context): engine = context.scene.render.engine return context.mesh and (engine in cls.COMPAT_ENGINES)
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def draw(self, context): layout = self.layout ob = context.object mesh = context.mesh space = context.space_data if ob: layout.template_ID(ob, "data") elif mesh: layout.template_ID(space, "pin_id")
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def draw(self, context): layout = self.layout mesh = context.mesh split = layout.split() col = split.column() col.prop(mesh, "use_auto_smooth") sub = col.column() sub.active = mesh.use_auto_smooth and not mesh.has_custom_normals sub.prop(mesh, "auto_smo...
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def draw(self, context): layout = self.layout mesh = context.mesh layout.prop(mesh, "texture_mesh") layout.separator() layout.prop(mesh, "use_auto_texspace") row = layout.row() row.column().prop(mesh, "texspace_location", text="Location") row.column()....
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def poll(cls, context): engine = context.scene.render.engine obj = context.object return (obj and obj.type in {'MESH', 'LATTICE'} and (engine in cls.COMPAT_ENGINES))
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def poll(cls, context): engine = context.scene.render.engine obj = context.object return (obj and obj.type in {'MESH', 'LATTICE', 'CURVE', 'SURFACE'} and (engine in cls.COMPAT_ENGINES))
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def draw(self, context): layout = self.layout me = context.mesh row = layout.row() col = row.column() col.template_list("MESH_UL_uvmaps_vcols", "uvmaps", me, "uv_textures", me.uv_textures, "active_index", rows=1) col = row.column(align=True) col.operator("mesh...
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def draw(self, context): layout = self.layout me = context.mesh row = layout.row() col = row.column() col.template_list("MESH_UL_uvmaps_vcols", "vcols", me, "vertex_colors", me.vertex_colors, "active_index", rows=1) col = row.column(align=True) col.operator("m...
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def draw(self, context): layout = self.layout obj = context.object me = context.mesh col = layout.column() col.operator("mesh.customdata_mask_clear", icon='X') col.operator("mesh.customdata_skin_clear", icon='X') if me.has_custom_normals: col.operat...
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def _async_import_options_from_data_if_missing(hass: HomeAssistant, entry: ConfigEntry): options = dict(entry.options) if CONF_FALLBACK not in options: options[CONF_FALLBACK] = entry.data.get(CONF_FALLBACK, True) hass.config_entries.async_update_entry(entry, options=options)
pschmitt/home-assistant
[ 1, 1, 1, 6, 1485261624 ]
def __init__(self, hass, username, password, fallback): """Initialize Tado Connector.""" self.hass = hass self._username = username self._password = password self._fallback = fallback self.device_id = None self.tado = None self.zones = None self.d...
pschmitt/home-assistant
[ 1, 1, 1, 6, 1485261624 ]
def fallback(self): """Return fallback flag to Smart Schedule.""" return self._fallback
pschmitt/home-assistant
[ 1, 1, 1, 6, 1485261624 ]
def update(self): """Update the registered zones.""" for zone in self.zones: self.update_sensor("zone", zone["id"]) for device in self.devices: self.update_sensor("device", device["id"])
pschmitt/home-assistant
[ 1, 1, 1, 6, 1485261624 ]
def get_capabilities(self, zone_id): """Return the capabilities of the devices.""" return self.tado.getCapabilities(zone_id)
pschmitt/home-assistant
[ 1, 1, 1, 6, 1485261624 ]
def set_presence( self, presence=PRESET_HOME,
pschmitt/home-assistant
[ 1, 1, 1, 6, 1485261624 ]
def set_zone_overlay( self, zone_id=None, overlay_mode=None, temperature=None, duration=None, device_type="HEATING", mode=None, fan_speed=None, swing=None,
pschmitt/home-assistant
[ 1, 1, 1, 6, 1485261624 ]
def _LoadNotificationUrl(): return boto.config.get_value('GSUtil', 'test_notification_url')
catapult-project/catapult
[ 1835, 570, 1835, 1039, 1429033745 ]
def test_watch_bucket(self): """Tests creating a notification channel on a bucket.""" bucket_uri = self.CreateBucket() self.RunGsUtil( ['notification', 'watchbucket', NOTIFICATION_URL, suri(bucket_uri)]) identifier = str(uuid.uuid4()) token = str(uuid.uuid4()) stderr = self.Run...
catapult-project/catapult
[ 1835, 570, 1835, 1039, 1429033745 ]
def test_stop_channel(self): """Tests stopping a notification channel on a bucket.""" bucket_uri = self.CreateBucket() stderr = self.RunGsUtil( ['notification', 'watchbucket', NOTIFICATION_URL, suri(bucket_uri)], return_stderr=True) channel_id = re.findall(r'channel identifier:...
catapult-project/catapult
[ 1835, 570, 1835, 1039, 1429033745 ]
def test_list_one_channel(self): """Tests listing notification channel on a bucket.""" # TODO(b/132277269): Re-enable these once the service-side bug is fixed. return unittest.skip('Functionality has been disabled due to b/132277269') bucket_uri = self.CreateBucket() # Set up an OCN (object change...
catapult-project/catapult
[ 1835, 570, 1835, 1039, 1429033745 ]
def add_default_enable(apps, schema_editor): ForumsConfig = apps.get_model("django_comment_common", "ForumsConfig") settings_count = ForumsConfig.objects.count() if settings_count == 0: # By default we want the comment client enabled, but this is *not* enabling # discussions themselves by de...
eduNEXT/edx-platform
[ 5, 3, 5, 6, 1390926698 ]
def curves( self, basis=IECore.CubicBasisf.linear(), periodic=False, numCurves=4 ) : vertsPerCurve = IECore.IntVectorData() pData = IECore.V3fVectorData() pData.setInterpretation( IECore.GeometricData.Interpretation.Point )
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def emptySop( self ) : obj = hou.node( "/obj" ) geo = obj.createNode( "geo", run_init_scripts=False ) null = geo.createNode( "null" )
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def curveSop( self, order=2, periodic=False, parent=None, coordIndex=0 ) :
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def curvesSop( self, numCurves=4, order=2, periodic=False ) :
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def comparePrimAndSop( self, prim, sop ) : geo = sop.geometry() for key in [ "floatDetail", "intDetail", "stringDetail" ] : self.assertEqual( prim[key].data.value, geo.attribValue( key ) )
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def compareOpenSplinePrimAndSop( self, prim, sop ) : geo = sop.geometry() for key in [ "floatDetail", "intDetail", "stringDetail" ] : self.assertEqual( prim[key].data.value, geo.attribValue( key ) )
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def comparePrimAndAppendedSop( self, prim, sop, origSopPrim, multipleConversions=False ) : geo = sop.geometry() for key in [ "floatDetail", "intDetail", "stringDetail" ] : self.assertEqual( prim[key].data.value, geo.attribValue( key ) )
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testCreateConverter( self ) : converter = IECoreHoudini.ToHoudiniCurvesConverter( self.curves() ) self.assert_( converter.isInstanceOf( IECore.TypeId( IECoreHoudini.TypeId.ToHoudiniCurvesConverter ) ) )
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testLinearConversion( self ) : sop = self.emptySop()
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testSplineConversion( self ) : sop = self.emptySop() spline = IECore.CubicBasisf.bSpline()
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testConversionIntoExistingSop( self ) : curves = self.curves() sop = self.curvesSop()
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testAppendingIntoExistingSop( self ) : curves = self.curves() curvesNumPoints = curves.variableSize( IECore.PrimitiveVariable.Interpolation.Vertex ) sop = self.curvesSop()
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testAppendingIntoLockedSop( self ) : curves = self.curves() curvesNumPoints = curves.variableSize( IECore.PrimitiveVariable.Interpolation.Vertex ) sop = self.curvesSop()
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testSaveLoad( self ) : hou.hipFile.clear( suppress_save_prompt=True )
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testSaveLoadWithLockedSop( self ) : hou.hipFile.clear( suppress_save_prompt=True )
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testMultipleConversions( self ) : curves = self.curves() curvesNumPoints = curves.variableSize( IECore.PrimitiveVariable.Interpolation.Vertex ) sop = self.curvesSop()
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testObjectWasDeleted( self ) : curves = self.curves() sop = self.curvesSop()
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testWithUnacceptablePrimVars( self ) : curves = self.curves() curves["badDetail"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Constant, IECore.TransformationMatrixfData() ) curves["badPoint"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Vertex, IECore.DoubleVectorD...
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testConvertingOverExistingAttribs( self ) : curves = self.curves() sop = self.emptySop() detailAttr = sop.createOutputNode( "attribcreate", exact_type_name=True ) detailAttr.parm( "name" ).set( "floatDetail" ) detailAttr.parm( "class" ).set( 0 ) # detail detailAttr.parm( "type" ).set( 0 ) # float deta...
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testConvertingOverExistingAttribsWithDifferentTypes( self ) : curves = self.curves() sop = self.emptySop() detailAttr = sop.createOutputNode( "attribcreate", exact_type_name=True ) detailAttr.parm( "name" ).set( "floatDetail" ) detailAttr.parm( "class" ).set( 0 ) # detail detailAttr.parm( "type" ).set( ...
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testVertAttribsCantBeConverted( self ) : curves = self.curves() curves["floatVert"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.FaceVarying, IECore.FloatVectorData( 1 ) ) sop = self.emptySop()
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testBadCurve( self ) :
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testName( self ) :
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testAttributeFilter( self ) :
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def testStandardAttributeConversion( self ) :
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def tearDown( self ) :
code-google-com/cortex-vfx
[ 4, 3, 4, 21, 1426431447 ]
def __init__(self, subject): self.subject = subject
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def test_logic(self, member, logic, operator='eq'): """Find the type of test to run on member, and perform that test""" if type(logic) is dict: return self.test_dict(member, logic) elif type(logic) is Logic_AND: return self.test_and(member, logic) elif type(logic...
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def test_or(self, member, logic): """Member is a value, logic is a set of values, ANY of which can be True """ result = False for test in logic: result |= self.test_logic(member, test) return result
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def test_dict(self, member, logic): """Member is a value, logic is a dict of other members to compare to. All other member tests must be True """ result = True for other_member, test in logic.items(): result &= self.test_logic(self.get_member(other_member), test) ...
Microvellum/Fluid-Designer
[ 69, 30, 69, 37, 1461884765 ]
def _GetAllCliques(root_node): """Return all cliques in the |root_node| tree.""" ret = [] for node in root_node: ret.extend(node.GetCliques()) return ret
chromium/chromium
[ 14247, 5365, 14247, 62, 1517864132 ]
def testGetPath(self): root = misc.GritNode() root.StartParsing(u'grit', None) root.HandleAttribute(u'latest_public_release', u'0') root.HandleAttribute(u'current_release', u'1') root.HandleAttribute(u'base_dir', r'..\resource') translations = empty.TranslationsNode() translations.StartParsi...
chromium/chromium
[ 14247, 5365, 14247, 62, 1517864132 ]
def testLoadTranslations(self): xml = '''<?xml version="1.0" encoding="UTF-8"?> <grit latest_public_release="2" source_lang_id="en-US" current_release="3" base_dir="."> <translations> <file path="generated_resources_fr.xtb" lang="fr" /> </translations> <release seq="3"> ...
chromium/chromium
[ 14247, 5365, 14247, 62, 1517864132 ]
def testConditionalLoadTranslations(self): xml = '''<?xml version="1.0" encoding="UTF-8"?> <grit latest_public_release="2" source_lang_id="en-US" current_release="3" base_dir="."> <translations> <if expr="True"> <file path="generated_resources_fr.xtb" lang="fr" /> ...
chromium/chromium
[ 14247, 5365, 14247, 62, 1517864132 ]
def testLangCodeMapping(self): grd = grd_reader.Parse(StringIO('''<?xml version="1.0" encoding="UTF-8"?> <grit latest_public_release="2" source_lang_id="en-US" current_release="3" base_dir="."> <translations> <file path="generated_resources_no.xtb" lang="nb" /> <file path="generate...
chromium/chromium
[ 14247, 5365, 14247, 62, 1517864132 ]
def __init__(self, stddev, **kwargs): super(GaussianNoise, self).__init__(**kwargs) self.supports_masking = True self.stddev = stddev
npuichigo/ttsflow
[ 16, 6, 16, 1, 1500635633 ]
def noised(): return inputs + K.random_normal( shape=K.shape(inputs), mean=0., stddev=self.stddev)
npuichigo/ttsflow
[ 16, 6, 16, 1, 1500635633 ]
def get_config(self): config = {'stddev': self.stddev} base_config = super(GaussianNoise, self).get_config() return dict(list(base_config.items()) + list(config.items()))
npuichigo/ttsflow
[ 16, 6, 16, 1, 1500635633 ]
def __init__(self, rate, **kwargs): super(GaussianDropout, self).__init__(**kwargs) self.supports_masking = True self.rate = rate
npuichigo/ttsflow
[ 16, 6, 16, 1, 1500635633 ]
def noised(): stddev = np.sqrt(self.rate / (1.0 - self.rate)) return inputs * K.random_normal( shape=K.shape(inputs), mean=1.0, stddev=stddev)
npuichigo/ttsflow
[ 16, 6, 16, 1, 1500635633 ]
def get_config(self): config = {'rate': self.rate} base_config = super(GaussianDropout, self).get_config() return dict(list(base_config.items()) + list(config.items()))
npuichigo/ttsflow
[ 16, 6, 16, 1, 1500635633 ]
def __init__(self, rate, noise_shape=None, seed=None, **kwargs): super(AlphaDropout, self).__init__(**kwargs) self.rate = rate self.noise_shape = noise_shape self.seed = seed self.supports_masking = True
npuichigo/ttsflow
[ 16, 6, 16, 1, 1500635633 ]
def call(self, inputs, training=None): if 0. < self.rate < 1.: noise_shape = self._get_noise_shape(inputs) alpha = 1.6732632423543772848170429916717 scale = 1.0507009873554804934193349852946 def dropped_inputs(inputs=inputs, rate=self.rate, seed=self.seed): alpha_p = -alpha * scale ...
npuichigo/ttsflow
[ 16, 6, 16, 1, 1500635633 ]
def run_perfstress_cmd(): main_loop = _PerfStressRunner() loop = asyncio.get_event_loop() loop.run_until_complete(main_loop.start())
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def __init__( self, plotly_name="colorsrc", parent_name="scattercarpet.marker", **kwargs
plotly/plotly.py
[ 13052, 2308, 13052, 1319, 1385013188 ]
def get_numeric_value(value, func): """ :returns: value if parameter value exists OR None if the parameter value does not exist """ return func(value) if value and not np.isnan(value) else None
hasadna/anyway
[ 69, 235, 69, 293, 1386619033 ]
def get_schools_with_description(schools_description_filepath, schools_coordinates_filepath): logging.info("\tReading schools description data from '%s'..." % schools_description_filepath) df_schools = pd.read_excel(schools_description_filepath) logging.info("\tReading schools coordinates data from '%s'..."...
hasadna/anyway
[ 69, 235, 69, 293, 1386619033 ]
def import_to_datastore(schools_description_filepath, schools_coordinates_filepath, batch_size): try: assert batch_size > 0 started = datetime.now() schools = get_schools_with_description( schools_description_filepath, schools_coordinates_filepath ) truncate_schoo...
hasadna/anyway
[ 69, 235, 69, 293, 1386619033 ]
def hotel_cost(nights): return 140 * nights
GunnerJnr/_CodeInstitute
[ 7, 6, 7, 104, 1501600555 ]
def rental_car_cost(days): total_car = days * 40 if days >= 7: total_car -= 50 elif days >= 3: total_car -= 20 return total_car
GunnerJnr/_CodeInstitute
[ 7, 6, 7, 104, 1501600555 ]
def test_list_repository_names(self, containerregistry_endpoint): client = self.create_registry_client(containerregistry_endpoint) repositories = client.list_repository_names() assert isinstance(repositories, ItemPaged) count = 0 prev = None for repo in repositories: ...
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def test_list_repository_names_by_page(self, containerregistry_endpoint): client = self.create_registry_client(containerregistry_endpoint) results_per_page = 2 total_pages = 0 repository_pages = client.list_repository_names(results_per_page=results_per_page) prev = None ...
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def test_delete_repository(self, containerregistry_endpoint, containerregistry_resource_group): self.import_image(containerregistry_endpoint, HELLO_WORLD, [TO_BE_DELETED]) client = self.create_registry_client(containerregistry_endpoint) client.delete_repository(TO_BE_DELETED) for repo ...
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def test_delete_repository_does_not_exist(self, containerregistry_endpoint): client = self.create_registry_client(containerregistry_endpoint) client.delete_repository("not_real_repo")
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def test_get_repository_properties(self, containerregistry_endpoint): client = self.create_registry_client(containerregistry_endpoint) properties = client.get_repository_properties(ALPINE) assert isinstance(properties, RepositoryProperties) assert properties.name == ALPINE
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def test_update_repository_properties(self, containerregistry_endpoint): repository = self.get_resource_name("repo") tag_identifier = self.get_resource_name("tag") self.import_image(containerregistry_endpoint, HELLO_WORLD, ["{}:{}".format(repository, tag_identifier)]) client = self.creat...
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def test_update_repository_properties_kwargs(self, containerregistry_endpoint): repo = self.get_resource_name("repo") tag = self.get_resource_name("tag") self.import_image(containerregistry_endpoint, HELLO_WORLD, ["{}:{}".format(repo, tag)]) client = self.create_registry_client(containe...
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def test_list_registry_artifacts(self, containerregistry_endpoint): client = self.create_registry_client(containerregistry_endpoint) count = 0 for artifact in client.list_manifest_properties(BUSYBOX): assert isinstance(artifact, ArtifactManifestProperties) assert isinsta...
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def test_list_registry_artifacts_by_page(self, containerregistry_endpoint): client = self.create_registry_client(containerregistry_endpoint) results_per_page = 2 pages = client.list_manifest_properties(BUSYBOX, results_per_page=results_per_page) page_count = 0 for page in pages....
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def test_list_registry_artifacts_descending(self, containerregistry_endpoint): client = self.create_registry_client(containerregistry_endpoint) prev_last_updated_on = None count = 0 for artifact in client.list_manifest_properties(BUSYBOX, order_by=ArtifactManifestOrder.LAST_UPDATED_ON_D...
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def test_list_registry_artifacts_ascending(self, containerregistry_endpoint): client = self.create_registry_client(containerregistry_endpoint) prev_last_updated_on = None count = 0 for artifact in client.list_manifest_properties(BUSYBOX, order_by=ArtifactManifestOrder.LAST_UPDATED_ON_AS...
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def test_get_manifest_properties(self, containerregistry_endpoint): repo = self.get_resource_name("repo") tag = self.get_resource_name("tag") self.import_image(containerregistry_endpoint, HELLO_WORLD, ["{}:{}".format(repo, tag)]) client = self.create_registry_client(containerregistry_en...
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]
def test_get_manifest_properties_does_not_exist(self, containerregistry_endpoint): repo = self.get_resource_name("repo") tag = self.get_resource_name("tag") self.import_image(containerregistry_endpoint, HELLO_WORLD, ["{}:{}".format(repo, tag)]) client = self.create_registry_client(conta...
Azure/azure-sdk-for-python
[ 3526, 2256, 3526, 986, 1335285972 ]