body stringlengths 26 98.2k | body_hash int64 -9,222,864,604,528,158,000 9,221,803,474B | docstring stringlengths 1 16.8k | path stringlengths 5 230 | name stringlengths 1 96 | repository_name stringlengths 7 89 | lang stringclasses 1
value | body_without_docstring stringlengths 20 98.2k |
|---|---|---|---|---|---|---|---|
def test_simple_grad():
'Test the use of jax.grad'
dev = qml.device('default.mixed', wires=2)
@qml.qnode(dev, interface='jax', diff_method='parameter-shift')
def circuit(weights):
qml.RX(weights[0], wires=0)
qml.RZ(weights[1], wires=1)
return qml.expval((qml.PauliZ(0) @ qml.Paul... | 8,963,306,386,412,158,000 | Test the use of jax.grad | tests/tape/interfaces/test_qnode_jax.py | test_simple_grad | PritishSehzpaul/pennylane | python | def test_simple_grad():
dev = qml.device('default.mixed', wires=2)
@qml.qnode(dev, interface='jax', diff_method='parameter-shift')
def circuit(weights):
qml.RX(weights[0], wires=0)
qml.RZ(weights[1], wires=1)
return qml.expval((qml.PauliZ(0) @ qml.PauliZ(1)))
weights = jnp.... |
@pytest.mark.parametrize('diff_method', ['parameter-shift', 'finite-diff'])
def test_differentiable_expand(diff_method):
'Test that operation and nested tapes expansion\n is differentiable'
class U3(qml.U3):
def expand(self):
(theta, phi, lam) = self.data
wires = self.wires
... | -6,303,920,968,199,098,000 | Test that operation and nested tapes expansion
is differentiable | tests/tape/interfaces/test_qnode_jax.py | test_differentiable_expand | PritishSehzpaul/pennylane | python | @pytest.mark.parametrize('diff_method', ['parameter-shift', 'finite-diff'])
def test_differentiable_expand(diff_method):
'Test that operation and nested tapes expansion\n is differentiable'
class U3(qml.U3):
def expand(self):
(theta, phi, lam) = self.data
wires = self.wires
... |
def qtransform(qnode, a, framework=jnp):
'Transforms every RY(y) gate in a circuit to RX(-a*cos(y))'
def construct(self, args, kwargs):
'New quantum tape construct method, that performs\n the transform on the tape in a define-by-run manner'
t_op = []
QNode.construct(self, args, k... | 7,020,693,661,897,376,000 | Transforms every RY(y) gate in a circuit to RX(-a*cos(y)) | tests/tape/interfaces/test_qnode_jax.py | qtransform | PritishSehzpaul/pennylane | python | def qtransform(qnode, a, framework=jnp):
def construct(self, args, kwargs):
'New quantum tape construct method, that performs\n the transform on the tape in a define-by-run manner'
t_op = []
QNode.construct(self, args, kwargs)
new_ops = []
for o in self.qtape.ope... |
@pytest.mark.parametrize('dev_name,diff_method', [('default.mixed', 'finite-diff'), ('default.qubit.autograd', 'parameter-shift')])
def test_transform(dev_name, diff_method, monkeypatch, tol):
'Test an example transform'
monkeypatch.setattr(qml.operation.Operation, 'do_check_domain', False)
dev = qml.device... | 3,371,618,771,618,339,000 | Test an example transform | tests/tape/interfaces/test_qnode_jax.py | test_transform | PritishSehzpaul/pennylane | python | @pytest.mark.parametrize('dev_name,diff_method', [('default.mixed', 'finite-diff'), ('default.qubit.autograd', 'parameter-shift')])
def test_transform(dev_name, diff_method, monkeypatch, tol):
monkeypatch.setattr(qml.operation.Operation, 'do_check_domain', False)
dev = qml.device(dev_name, wires=1)
@q... |
def construct(self, args, kwargs):
'New quantum tape construct method, that performs\n the transform on the tape in a define-by-run manner'
t_op = []
QNode.construct(self, args, kwargs)
new_ops = []
for o in self.qtape.operations:
if isinstance(o, qml.RY):
t_op.append(qml.... | 5,238,125,990,119,009,000 | New quantum tape construct method, that performs
the transform on the tape in a define-by-run manner | tests/tape/interfaces/test_qnode_jax.py | construct | PritishSehzpaul/pennylane | python | def construct(self, args, kwargs):
'New quantum tape construct method, that performs\n the transform on the tape in a define-by-run manner'
t_op = []
QNode.construct(self, args, kwargs)
new_ops = []
for o in self.qtape.operations:
if isinstance(o, qml.RY):
t_op.append(qml.... |
def testDocxSetHeaderRequest(self):
'Test DocxSetHeaderRequest'
pass | -4,734,426,132,462,906,000 | Test DocxSetHeaderRequest | test/test_docx_set_header_request.py | testDocxSetHeaderRequest | Cloudmersive/Cloudmersive.APIClient.Python.Convert | python | def testDocxSetHeaderRequest(self):
pass |
@staticmethod
def updateCouplings(connection):
'\n The shape has changed, which means couplings might have to change, be added or removed.\n To be sure all couplings in this connection are deleted and then build up from scratch.\n '
'Remove all old couplings.'
for coupling in connection... | 1,902,094,766,423,032,800 | The shape has changed, which means couplings might have to change, be added or removed.
To be sure all couplings in this connection are deleted and then build up from scratch. | Sea/adapter/connections/Connection.py | updateCouplings | FRidh/Sea | python | @staticmethod
def updateCouplings(connection):
'\n The shape has changed, which means couplings might have to change, be added or removed.\n To be sure all couplings in this connection are deleted and then build up from scratch.\n '
'Remove all old couplings.'
for coupling in connection... |
@staticmethod
def addCouplings(connection):
'\n Add couplings to the :attr:`connection`.\n \n :param connection: an instance of :class:`Sea.adapter.baseclasses.Connection`\n '
for (comp_from, comp_to) in itertools.permutations(connection.Components, 2):
coupling_sort = Connec... | -1,349,375,267,989,642,800 | Add couplings to the :attr:`connection`.
:param connection: an instance of :class:`Sea.adapter.baseclasses.Connection` | Sea/adapter/connections/Connection.py | addCouplings | FRidh/Sea | python | @staticmethod
def addCouplings(connection):
'\n Add couplings to the :attr:`connection`.\n \n :param connection: an instance of :class:`Sea.adapter.baseclasses.Connection`\n '
for (comp_from, comp_to) in itertools.permutations(connection.Components, 2):
coupling_sort = Connec... |
@staticmethod
def determineCouplingType(connection_type, component_from, component_to):
'\n Determine the type of coupling. Detects what type of connection the components have.\n Based on the type of connection and on the types of components a coupling is returned.\n \n :param component_... | -5,089,945,891,643,414,000 | Determine the type of coupling. Detects what type of connection the components have.
Based on the type of connection and on the types of components a coupling is returned.
:param component_from: an instance of a child of :class:`Sea.adapter.baseclasses.Component`
:param component_to: an instance of a child of :class:`... | Sea/adapter/connections/Connection.py | determineCouplingType | FRidh/Sea | python | @staticmethod
def determineCouplingType(connection_type, component_from, component_to):
'\n Determine the type of coupling. Detects what type of connection the components have.\n Based on the type of connection and on the types of components a coupling is returned.\n \n :param component_... |
@staticmethod
def makeCoupling(connection, subsystem_from, subsystem_to, sort):
'\n Add a coupling to system.\n \n :param connection: an instance of :class:`Sea.adapter.baseclasses.Connection`\n :param component_from: an instance of a child of :class:`Sea.adapter.baseclasses.Component`\n... | -7,819,181,587,509,591,000 | Add a coupling to system.
:param connection: an instance of :class:`Sea.adapter.baseclasses.Connection`
:param component_from: an instance of a child of :class:`Sea.adapter.baseclasses.Component`
:param subsystem_from: string representing the type of subsystem
:param component_to: an instance of a child of :class:`Sea... | Sea/adapter/connections/Connection.py | makeCoupling | FRidh/Sea | python | @staticmethod
def makeCoupling(connection, subsystem_from, subsystem_to, sort):
'\n Add a coupling to system.\n \n :param connection: an instance of :class:`Sea.adapter.baseclasses.Connection`\n :param component_from: an instance of a child of :class:`Sea.adapter.baseclasses.Component`\n... |
@test_util.run_v1_only('b/120545219')
def testControlFlowInitialization(self):
'Expects an error if an initializer is in a control-flow scope.'
def cond(i, _):
return (i < 10)
def body(i, _):
zero = array_ops.zeros([], dtype=dtypes.int32)
v = variables.Variable(initial_value=zero)
... | -3,174,679,683,478,967,000 | Expects an error if an initializer is in a control-flow scope. | tensorflow/python/kernel_tests/variables_test.py | testControlFlowInitialization | ArnovanHilten/tensorflow | python | @test_util.run_v1_only('b/120545219')
def testControlFlowInitialization(self):
def cond(i, _):
return (i < 10)
def body(i, _):
zero = array_ops.zeros([], dtype=dtypes.int32)
v = variables.Variable(initial_value=zero)
return ((i + 1), v.read_value())
with self.assertRai... |
def search(taxonKey=None, repatriated=None, kingdomKey=None, phylumKey=None, classKey=None, orderKey=None, familyKey=None, genusKey=None, subgenusKey=None, scientificName=None, country=None, publishingCountry=None, hasCoordinate=None, typeStatus=None, recordNumber=None, lastInterpreted=None, continent=None, geometry=No... | 2,407,195,931,292,612,000 | Search GBIF occurrences
:param taxonKey: [int] A GBIF occurrence identifier
:param q: [str] Simple search parameter. The value for this parameter can be a simple word or a phrase.
:param spellCheck: [bool] If ``True`` ask GBIF to check your spelling of the value passed to the ``search`` parameter.
IMPORTANT: This ... | pygbif/occurrences/search.py | search | livatras/pygbif | python | def search(taxonKey=None, repatriated=None, kingdomKey=None, phylumKey=None, classKey=None, orderKey=None, familyKey=None, genusKey=None, subgenusKey=None, scientificName=None, country=None, publishingCountry=None, hasCoordinate=None, typeStatus=None, recordNumber=None, lastInterpreted=None, continent=None, geometry=No... |
def __init__(self, id=None, data=None):
'\n DestinationIdSchema - a model defined in Swagger\n\n :param dict swaggerTypes: The key is attribute name\n and the value is attribute type.\n :param dict attributeMap: The key is attribute name\n ... | -1,036,892,525,717,189,400 | DestinationIdSchema - a model defined in Swagger
:param dict swaggerTypes: The key is attribute name
and the value is attribute type.
:param dict attributeMap: The key is attribute name
and the value is json key in definition. | rustici_software_cloud_v2/models/destination_id_schema.py | __init__ | ryanhope2/scormcloud-api-v2-client-python | python | def __init__(self, id=None, data=None):
'\n DestinationIdSchema - a model defined in Swagger\n\n :param dict swaggerTypes: The key is attribute name\n and the value is attribute type.\n :param dict attributeMap: The key is attribute name\n ... |
@property
def id(self):
'\n Gets the id of this DestinationIdSchema.\n \n\n :return: The id of this DestinationIdSchema.\n :rtype: str\n '
return self._id | -4,756,714,808,268,342,000 | Gets the id of this DestinationIdSchema.
:return: The id of this DestinationIdSchema.
:rtype: str | rustici_software_cloud_v2/models/destination_id_schema.py | id | ryanhope2/scormcloud-api-v2-client-python | python | @property
def id(self):
'\n Gets the id of this DestinationIdSchema.\n \n\n :return: The id of this DestinationIdSchema.\n :rtype: str\n '
return self._id |
@id.setter
def id(self, id):
'\n Sets the id of this DestinationIdSchema.\n \n\n :param id: The id of this DestinationIdSchema.\n :type: str\n '
self._id = id | -2,075,493,263,701,627,100 | Sets the id of this DestinationIdSchema.
:param id: The id of this DestinationIdSchema.
:type: str | rustici_software_cloud_v2/models/destination_id_schema.py | id | ryanhope2/scormcloud-api-v2-client-python | python | @id.setter
def id(self, id):
'\n Sets the id of this DestinationIdSchema.\n \n\n :param id: The id of this DestinationIdSchema.\n :type: str\n '
self._id = id |
@property
def data(self):
'\n Gets the data of this DestinationIdSchema.\n\n :return: The data of this DestinationIdSchema.\n :rtype: DestinationSchema\n '
return self._data | 6,491,617,717,676,747,000 | Gets the data of this DestinationIdSchema.
:return: The data of this DestinationIdSchema.
:rtype: DestinationSchema | rustici_software_cloud_v2/models/destination_id_schema.py | data | ryanhope2/scormcloud-api-v2-client-python | python | @property
def data(self):
'\n Gets the data of this DestinationIdSchema.\n\n :return: The data of this DestinationIdSchema.\n :rtype: DestinationSchema\n '
return self._data |
@data.setter
def data(self, data):
'\n Sets the data of this DestinationIdSchema.\n\n :param data: The data of this DestinationIdSchema.\n :type: DestinationSchema\n '
self._data = data | -7,656,567,686,224,259,000 | Sets the data of this DestinationIdSchema.
:param data: The data of this DestinationIdSchema.
:type: DestinationSchema | rustici_software_cloud_v2/models/destination_id_schema.py | data | ryanhope2/scormcloud-api-v2-client-python | python | @data.setter
def data(self, data):
'\n Sets the data of this DestinationIdSchema.\n\n :param data: The data of this DestinationIdSchema.\n :type: DestinationSchema\n '
self._data = data |
def to_dict(self):
'\n Returns the model properties as a dict\n '
result = {}
for (attr, _) in iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map((lambda x: (x.to_dict() if hasattr(x, 'to_dict') else x)), v... | 2,191,974,537,531,847,000 | Returns the model properties as a dict | rustici_software_cloud_v2/models/destination_id_schema.py | to_dict | ryanhope2/scormcloud-api-v2-client-python | python | def to_dict(self):
'\n \n '
result = {}
for (attr, _) in iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map((lambda x: (x.to_dict() if hasattr(x, 'to_dict') else x)), value))
elif hasattr(value, 'to... |
def to_str(self):
'\n Returns the string representation of the model\n '
return pformat(self.to_dict()) | -3,531,024,894,346,511,000 | Returns the string representation of the model | rustici_software_cloud_v2/models/destination_id_schema.py | to_str | ryanhope2/scormcloud-api-v2-client-python | python | def to_str(self):
'\n \n '
return pformat(self.to_dict()) |
def __repr__(self):
'\n For `print` and `pprint`\n '
return self.to_str() | 5,853,962,500,611,353,000 | For `print` and `pprint` | rustici_software_cloud_v2/models/destination_id_schema.py | __repr__ | ryanhope2/scormcloud-api-v2-client-python | python | def __repr__(self):
'\n \n '
return self.to_str() |
def __eq__(self, other):
'\n Returns true if both objects are equal\n '
if (not isinstance(other, DestinationIdSchema)):
return False
return (self.__dict__ == other.__dict__) | 5,572,630,834,681,360,000 | Returns true if both objects are equal | rustici_software_cloud_v2/models/destination_id_schema.py | __eq__ | ryanhope2/scormcloud-api-v2-client-python | python | def __eq__(self, other):
'\n \n '
if (not isinstance(other, DestinationIdSchema)):
return False
return (self.__dict__ == other.__dict__) |
def __ne__(self, other):
'\n Returns true if both objects are not equal\n '
return (not (self == other)) | 3,600,423,175,817,510,400 | Returns true if both objects are not equal | rustici_software_cloud_v2/models/destination_id_schema.py | __ne__ | ryanhope2/scormcloud-api-v2-client-python | python | def __ne__(self, other):
'\n \n '
return (not (self == other)) |
def load_data(data_dir):
'Load the train/val data.'
data_transforms = {'train': transforms.Compose([transforms.RandomResizedCrop(224), transforms.RandomHorizontalFlip(), transforms.ToTensor(), transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])]), 'val': transforms.Compose([transforms.Resize(256)... | 2,688,968,184,329,373,000 | Load the train/val data. | azure-ml-pipelines/pytorch/training-folder/pytorch_train.py | load_data | hudua/azureml | python | def load_data(data_dir):
data_transforms = {'train': transforms.Compose([transforms.RandomResizedCrop(224), transforms.RandomHorizontalFlip(), transforms.ToTensor(), transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])]), 'val': transforms.Compose([transforms.Resize(256), transforms.CenterCrop(22... |
def train_model(model, criterion, optimizer, scheduler, num_epochs, data_dir):
'Train the model.'
(dataloaders, dataset_sizes, class_names) = load_data(data_dir)
device = torch.device(('cuda:0' if torch.cuda.is_available() else 'cpu'))
since = time.time()
best_model_wts = copy.deepcopy(model.state_d... | -1,306,633,351,554,523,000 | Train the model. | azure-ml-pipelines/pytorch/training-folder/pytorch_train.py | train_model | hudua/azureml | python | def train_model(model, criterion, optimizer, scheduler, num_epochs, data_dir):
(dataloaders, dataset_sizes, class_names) = load_data(data_dir)
device = torch.device(('cuda:0' if torch.cuda.is_available() else 'cpu'))
since = time.time()
best_model_wts = copy.deepcopy(model.state_dict())
best_ac... |
def fine_tune_model(num_epochs, data_dir, learning_rate, momentum):
'Load a pretrained model and reset the final fully connected layer.'
run.log('lr', np.float(learning_rate))
run.log('momentum', np.float(momentum))
model_ft = models.resnet18(pretrained=True)
num_ftrs = model_ft.fc.in_features
m... | 7,668,973,453,640,657,000 | Load a pretrained model and reset the final fully connected layer. | azure-ml-pipelines/pytorch/training-folder/pytorch_train.py | fine_tune_model | hudua/azureml | python | def fine_tune_model(num_epochs, data_dir, learning_rate, momentum):
run.log('lr', np.float(learning_rate))
run.log('momentum', np.float(momentum))
model_ft = models.resnet18(pretrained=True)
num_ftrs = model_ft.fc.in_features
model_ft.fc = nn.Linear(num_ftrs, 2)
device = torch.device(('cuda... |
def load_model(model_path: str) -> None:
'\n 模型加载\n @param model_path: 模型文件夹路径\n @return:\n '
global kge_model, entity2id, id2entity, relation2id, all_true_triples, args
args = DotMap(json.load(codecs.open(os.path.join(model_path, 'config.json'), 'r', encoding='utf-8')))
(entity2id, id2entit... | -1,381,956,851,112,199,000 | 模型加载
@param model_path: 模型文件夹路径
@return: | project/knowledge_graph_embedding/project_distmult_rotate_transe/service.py | load_model | Jianhan-Liu/solid_ai_waddle | python | def load_model(model_path: str) -> None:
'\n 模型加载\n @param model_path: 模型文件夹路径\n @return:\n '
global kge_model, entity2id, id2entity, relation2id, all_true_triples, args
args = DotMap(json.load(codecs.open(os.path.join(model_path, 'config.json'), 'r', encoding='utf-8')))
(entity2id, id2entit... |
def inference(target_triple: str) -> Dict:
"\n 推理函数\n @param target_triple: 目标需预测三元组：'头实体 关系 尾实体'\n @return: 头尾实体的10个预测结果\n "
if (kge_model is None):
return {'预测结果': '提醒：模型未加载'}
try:
target_triple = target_triple.split()
head = entity2id[target_triple[0]]
tail = e... | -4,453,249,678,169,298,400 | 推理函数
@param target_triple: 目标需预测三元组：'头实体 关系 尾实体'
@return: 头尾实体的10个预测结果 | project/knowledge_graph_embedding/project_distmult_rotate_transe/service.py | inference | Jianhan-Liu/solid_ai_waddle | python | def inference(target_triple: str) -> Dict:
"\n 推理函数\n @param target_triple: 目标需预测三元组：'头实体 关系 尾实体'\n @return: 头尾实体的10个预测结果\n "
if (kge_model is None):
return {'预测结果': '提醒：模型未加载'}
try:
target_triple = target_triple.split()
head = entity2id[target_triple[0]]
tail = e... |
def _looks_like_asgi3(app):
'\n Try to figure out if an application object supports ASGI3.\n\n This is how uvicorn figures out the application version as well.\n '
if inspect.isclass(app):
return hasattr(app, '__await__')
elif inspect.isfunction(app):
return asyncio.iscoroutinefunct... | -1,719,280,184,835,323,600 | Try to figure out if an application object supports ASGI3.
This is how uvicorn figures out the application version as well. | sentry_sdk/integrations/asgi.py | _looks_like_asgi3 | cuenca-mx/sentry-python | python | def _looks_like_asgi3(app):
'\n Try to figure out if an application object supports ASGI3.\n\n This is how uvicorn figures out the application version as well.\n '
if inspect.isclass(app):
return hasattr(app, '__await__')
elif inspect.isfunction(app):
return asyncio.iscoroutinefunct... |
def __init__(self, app, unsafe_context_data=False):
'\n Instrument an ASGI application with Sentry. Provides HTTP/websocket\n data to sent events and basic handling for exceptions bubbling up\n through the middleware.\n\n :param unsafe_context_data: Disable errors when a proper contextva... | 4,878,474,847,215,512,000 | Instrument an ASGI application with Sentry. Provides HTTP/websocket
data to sent events and basic handling for exceptions bubbling up
through the middleware.
:param unsafe_context_data: Disable errors when a proper contextvars installation could not be found. We do not recommend changing this from the default. | sentry_sdk/integrations/asgi.py | __init__ | cuenca-mx/sentry-python | python | def __init__(self, app, unsafe_context_data=False):
'\n Instrument an ASGI application with Sentry. Provides HTTP/websocket\n data to sent events and basic handling for exceptions bubbling up\n through the middleware.\n\n :param unsafe_context_data: Disable errors when a proper contextva... |
def _get_url(self, scope, default_scheme, host):
'\n Extract URL from the ASGI scope, without also including the querystring.\n '
scheme = scope.get('scheme', default_scheme)
server = scope.get('server', None)
path = (scope.get('root_path', '') + scope.get('path', ''))
if host:
... | 456,696,316,022,871,940 | Extract URL from the ASGI scope, without also including the querystring. | sentry_sdk/integrations/asgi.py | _get_url | cuenca-mx/sentry-python | python | def _get_url(self, scope, default_scheme, host):
'\n \n '
scheme = scope.get('scheme', default_scheme)
server = scope.get('server', None)
path = (scope.get('root_path', ) + scope.get('path', ))
if host:
return ('%s://%s%s' % (scheme, host, path))
if (server is not None):
... |
def _get_query(self, scope):
'\n Extract querystring from the ASGI scope, in the format that the Sentry protocol expects.\n '
qs = scope.get('query_string')
if (not qs):
return None
return urllib.parse.unquote(qs.decode('latin-1')) | -3,749,750,348,190,675,000 | Extract querystring from the ASGI scope, in the format that the Sentry protocol expects. | sentry_sdk/integrations/asgi.py | _get_query | cuenca-mx/sentry-python | python | def _get_query(self, scope):
'\n \n '
qs = scope.get('query_string')
if (not qs):
return None
return urllib.parse.unquote(qs.decode('latin-1')) |
def _get_headers(self, scope):
'\n Extract headers from the ASGI scope, in the format that the Sentry protocol expects.\n '
headers = {}
for (raw_key, raw_value) in scope['headers']:
key = raw_key.decode('latin-1')
value = raw_value.decode('latin-1')
if (key in headers)... | -2,763,036,242,865,239,000 | Extract headers from the ASGI scope, in the format that the Sentry protocol expects. | sentry_sdk/integrations/asgi.py | _get_headers | cuenca-mx/sentry-python | python | def _get_headers(self, scope):
'\n \n '
headers = {}
for (raw_key, raw_value) in scope['headers']:
key = raw_key.decode('latin-1')
value = raw_value.decode('latin-1')
if (key in headers):
headers[key] = ((headers[key] + ', ') + value)
else:
... |
def text2phone(text, language):
'\n Convert graphemes to phonemes.\n '
seperator = phonemizer.separator.Separator(' |', '', '|')
punctuations = re.findall(PHONEME_PUNCTUATION_PATTERN, text)
if (version.parse(phonemizer.__version__) < version.parse('2.1')):
ph = phonemize(text, separator=se... | -8,971,153,413,979,716,000 | Convert graphemes to phonemes. | utils/text/__init__.py | text2phone | DanBmh/TTS | python | def text2phone(text, language):
'\n \n '
seperator = phonemizer.separator.Separator(' |', , '|')
punctuations = re.findall(PHONEME_PUNCTUATION_PATTERN, text)
if (version.parse(phonemizer.__version__) < version.parse('2.1')):
ph = phonemize(text, separator=seperator, strip=False, njobs=1, b... |
def sequence_to_phoneme(sequence, tp=None):
'Converts a sequence of IDs back to a string'
global _id_to_phonemes
result = ''
if tp:
(_, _phonemes) = make_symbols(**tp)
_id_to_phonemes = {i: s for (i, s) in enumerate(_phonemes)}
for symbol_id in sequence:
if (symbol_id in _id_... | 6,434,912,201,758,388,000 | Converts a sequence of IDs back to a string | utils/text/__init__.py | sequence_to_phoneme | DanBmh/TTS | python | def sequence_to_phoneme(sequence, tp=None):
global _id_to_phonemes
result =
if tp:
(_, _phonemes) = make_symbols(**tp)
_id_to_phonemes = {i: s for (i, s) in enumerate(_phonemes)}
for symbol_id in sequence:
if (symbol_id in _id_to_phonemes):
s = _id_to_phonemes[s... |
def text_to_sequence(text, cleaner_names, tp=None):
'Converts a string of text to a sequence of IDs corresponding to the symbols in the text.\n\n The text can optionally have ARPAbet sequences enclosed in curly braces embedded\n in it. For example, "Turn left on {HH AW1 S S T AH0 N} Street."\n\n Args... | -863,534,234,504,303,600 | Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
The text can optionally have ARPAbet sequences enclosed in curly braces embedded
in it. For example, "Turn left on {HH AW1 S S T AH0 N} Street."
Args:
text: string to convert to a sequence
cleaner_names: names of the cleaner ... | utils/text/__init__.py | text_to_sequence | DanBmh/TTS | python | def text_to_sequence(text, cleaner_names, tp=None):
'Converts a string of text to a sequence of IDs corresponding to the symbols in the text.\n\n The text can optionally have ARPAbet sequences enclosed in curly braces embedded\n in it. For example, "Turn left on {HH AW1 S S T AH0 N} Street."\n\n Args... |
def sequence_to_text(sequence, tp=None):
'Converts a sequence of IDs back to a string'
global _id_to_symbol
if tp:
(_symbols, _) = make_symbols(**tp)
_id_to_symbol = {i: s for (i, s) in enumerate(_symbols)}
result = ''
for symbol_id in sequence:
if (symbol_id in _id_to_symbol... | -3,614,943,435,538,793,500 | Converts a sequence of IDs back to a string | utils/text/__init__.py | sequence_to_text | DanBmh/TTS | python | def sequence_to_text(sequence, tp=None):
global _id_to_symbol
if tp:
(_symbols, _) = make_symbols(**tp)
_id_to_symbol = {i: s for (i, s) in enumerate(_symbols)}
result =
for symbol_id in sequence:
if (symbol_id in _id_to_symbol):
s = _id_to_symbol[symbol_id]
... |
def validate_subdirectory_string(subdirectory_str):
' Validate subdirectory string '
if (not subdirectory_str.isascii()):
raise argparse.ArgumentTypeError(('%s contains non ascii characters' % subdirectory_str))
if subdirectory_str.startswith('/'):
subdirectory_str = subdirectory_str[1:]
... | 9,133,025,839,659,418,000 | Validate subdirectory string | update-attack.py | validate_subdirectory_string | Alexander-RB/attack-website | python | def validate_subdirectory_string(subdirectory_str):
' '
if (not subdirectory_str.isascii()):
raise argparse.ArgumentTypeError(('%s contains non ascii characters' % subdirectory_str))
if subdirectory_str.startswith('/'):
subdirectory_str = subdirectory_str[1:]
if subdirectory_str.endswit... |
def get_parsed_args():
'Create argument parser and parse arguments'
parser = argparse.ArgumentParser(description='Build the ATT&CK website.\nAll flags are optional. If you run the build without flags, the modules that pertain to the ATT&CK dataset will be ran. If you would like to run extra modules, opt-in thes... | 3,227,462,813,491,606,500 | Create argument parser and parse arguments | update-attack.py | get_parsed_args | Alexander-RB/attack-website | python | def get_parsed_args():
parser = argparse.ArgumentParser(description='Build the ATT&CK website.\nAll flags are optional. If you run the build without flags, the modules that pertain to the ATT&CK dataset will be ran. If you would like to run extra modules, opt-in these modules with the--extras flag.')
parse... |
def remove_from_build(arg_modules, arg_extras):
' Given a list of modules from command line, remove modules that appear in module\n directory that are not in list.\n '
def remove_from_running_pool():
' Remove modules from running pool if they are not in modules list from argument '
co... | -4,698,552,695,145,996,000 | Given a list of modules from command line, remove modules that appear in module
directory that are not in list. | update-attack.py | remove_from_build | Alexander-RB/attack-website | python | def remove_from_build(arg_modules, arg_extras):
' Given a list of modules from command line, remove modules that appear in module\n directory that are not in list.\n '
def remove_from_running_pool():
' Remove modules from running pool if they are not in modules list from argument '
co... |
def remove_from_running_pool():
' Remove modules from running pool if they are not in modules list from argument '
copy_of_modules = []
for module in modules.run_ptr:
if (module['name'].lower() in arg_modules):
copy_of_modules.append(module)
modules.run_ptr = copy_of_modules | -6,515,811,293,937,717,000 | Remove modules from running pool if they are not in modules list from argument | update-attack.py | remove_from_running_pool | Alexander-RB/attack-website | python | def remove_from_running_pool():
' '
copy_of_modules = []
for module in modules.run_ptr:
if (module['name'].lower() in arg_modules):
copy_of_modules.append(module)
modules.run_ptr = copy_of_modules |
def remove_from_menu():
' Remove modules from menu if they are not in modules list from argument '
copy_of_menu = []
for module in modules.menu_ptr:
if (module['name'].lower() in arg_modules):
copy_of_menu.append(module)
modules.menu_ptr = copy_of_menu | -6,787,491,815,310,537,000 | Remove modules from menu if they are not in modules list from argument | update-attack.py | remove_from_menu | Alexander-RB/attack-website | python | def remove_from_menu():
' '
copy_of_menu = []
for module in modules.menu_ptr:
if (module['name'].lower() in arg_modules):
copy_of_menu.append(module)
modules.menu_ptr = copy_of_menu |
def run_command(command, display_cmd=False, ignore_error=False, print_to_console=True):
'Run bash command and print output to stdout\n '
if (display_cmd == True):
click.echo((click.style('Running command: ', fg='cyan') + click.style(command, fg='green')))
proc = subprocess.Popen(command, shell=Tr... | 3,621,573,615,239,375,400 | Run bash command and print output to stdout | show/plugins/mlnx.py | run_command | AshokDaparthi/sonic-utilities | python | def run_command(command, display_cmd=False, ignore_error=False, print_to_console=True):
'\n '
if (display_cmd == True):
click.echo((click.style('Running command: ', fg='cyan') + click.style(command, fg='green')))
proc = subprocess.Popen(command, shell=True, text=True, stdout=subprocess.PIPE)
... |
@click.group()
def mlnx():
' Show Mellanox platform information '
pass | -8,046,836,575,544,220,000 | Show Mellanox platform information | show/plugins/mlnx.py | mlnx | AshokDaparthi/sonic-utilities | python | @click.group()
def mlnx():
' '
pass |
def is_issu_status_enabled():
' This function parses the SAI XML profile used for mlnx to\n get whether ISSU is enabled or disabled\n @return: True/False\n '
issu_enabled = False
sai_profile_path = '/{}/sai.profile'.format(HWSKU_PATH)
DOCKER_CAT_COMMAND = 'docker exec {container_name} cat {path... | 8,463,833,370,658,066,000 | This function parses the SAI XML profile used for mlnx to
get whether ISSU is enabled or disabled
@return: True/False | show/plugins/mlnx.py | is_issu_status_enabled | AshokDaparthi/sonic-utilities | python | def is_issu_status_enabled():
' This function parses the SAI XML profile used for mlnx to\n get whether ISSU is enabled or disabled\n @return: True/False\n '
issu_enabled = False
sai_profile_path = '/{}/sai.profile'.format(HWSKU_PATH)
DOCKER_CAT_COMMAND = 'docker exec {container_name} cat {path... |
@mlnx.command('sniffer')
def sniffer_status():
' Show sniffer status '
components = ['sdk']
env_variable_strings = [ENV_VARIABLE_SX_SNIFFER]
for index in range(len(components)):
enabled = sniffer_status_get(env_variable_strings[index])
if (enabled is True):
click.echo((compon... | 131,115,497,342,275,740 | Show sniffer status | show/plugins/mlnx.py | sniffer_status | AshokDaparthi/sonic-utilities | python | @mlnx.command('sniffer')
def sniffer_status():
' '
components = ['sdk']
env_variable_strings = [ENV_VARIABLE_SX_SNIFFER]
for index in range(len(components)):
enabled = sniffer_status_get(env_variable_strings[index])
if (enabled is True):
click.echo((components[index] + ' sni... |
@mlnx.command('issu')
def issu_status():
' Show ISSU status '
res = is_issu_status_enabled()
click.echo(('ISSU is enabled' if res else 'ISSU is disabled')) | -331,031,383,470,014,140 | Show ISSU status | show/plugins/mlnx.py | issu_status | AshokDaparthi/sonic-utilities | python | @mlnx.command('issu')
def issu_status():
' '
res = is_issu_status_enabled()
click.echo(('ISSU is enabled' if res else 'ISSU is disabled')) |
def make_meshgrid(x, y, h=0.02):
'Create a mesh of points to plot in\n\n Parameters\n ----------\n x: data to base x-axis meshgrid on\n y: data to base y-axis meshgrid on\n h: stepsize for meshgrid, optional\n\n Returns\n -------\n xx, yy : ndarray\n '
... | -4,317,779,463,543,041,500 | Create a mesh of points to plot in
Parameters
----------
x: data to base x-axis meshgrid on
y: data to base y-axis meshgrid on
h: stepsize for meshgrid, optional
Returns
-------
xx, yy : ndarray | main.py | make_meshgrid | MartimChaves/ret_detect | python | def make_meshgrid(x, y, h=0.02):
'Create a mesh of points to plot in\n\n Parameters\n ----------\n x: data to base x-axis meshgrid on\n y: data to base y-axis meshgrid on\n h: stepsize for meshgrid, optional\n\n Returns\n -------\n xx, yy : ndarray\n '
... |
def plot_contours(ax, clf, xx, yy, proba=False, **params):
'Plot the decision boundaries for a classifier.\n\n Parameters\n ----------\n ax: matplotlib axes object\n clf: a classifier\n xx: meshgrid ndarray\n yy: meshgrid ndarray\n params: dictionary of params to pas... | -8,037,834,054,018,846,000 | Plot the decision boundaries for a classifier.
Parameters
----------
ax: matplotlib axes object
clf: a classifier
xx: meshgrid ndarray
yy: meshgrid ndarray
params: dictionary of params to pass to contourf, optional | main.py | plot_contours | MartimChaves/ret_detect | python | def plot_contours(ax, clf, xx, yy, proba=False, **params):
'Plot the decision boundaries for a classifier.\n\n Parameters\n ----------\n ax: matplotlib axes object\n clf: a classifier\n xx: meshgrid ndarray\n yy: meshgrid ndarray\n params: dictionary of params to pas... |
def apply(self, context, clear, split, check_for_existing=True, **kwargs):
'Extract Candidates from a Context'
if (not isinstance(context, Sentence)):
raise NotImplementedError(('%s is currently only implemented for Sentence contexts.' % self.__name__))
entity_idxs = dict(((et, defaultdict(list)) fo... | 7,479,512,621,843,678,000 | Extract Candidates from a Context | snorkel/candidates.py | apply | ailabx/snorkel | python | def apply(self, context, clear, split, check_for_existing=True, **kwargs):
if (not isinstance(context, Sentence)):
raise NotImplementedError(('%s is currently only implemented for Sentence contexts.' % self.__name__))
entity_idxs = dict(((et, defaultdict(list)) for et in set(self.entity_types)))
... |
def read_inputs(self, name: str):
'\n read circuit graphs\n '
top_ports = []
ports_weight = {}
for (node, attr) in self.G.nodes(data=True):
if ('source' in attr['inst_type']):
for source_nets in self.G.neighbors(node):
top_ports.append(source_nets)
... | -3,506,295,908,788,865,500 | read circuit graphs | align/compiler/create_database.py | read_inputs | mabrains/ALIGN-public | python | def read_inputs(self, name: str):
'\n \n '
top_ports = []
ports_weight = {}
for (node, attr) in self.G.nodes(data=True):
if ('source' in attr['inst_type']):
for source_nets in self.G.neighbors(node):
top_ports.append(source_nets)
elif ('net_type'... |
def _traverse_hier_in_graph(self, G):
'\n Recusively reads all hierachies in the graph and convert them to dictionary\n '
for (node, attr) in G.nodes(data=True):
if (('sub_graph' in attr) and attr['sub_graph']):
logger.debug(f"Traversing sub graph: {node} {attr['inst_type']} {a... | 66,405,325,679,430,640 | Recusively reads all hierachies in the graph and convert them to dictionary | align/compiler/create_database.py | _traverse_hier_in_graph | mabrains/ALIGN-public | python | def _traverse_hier_in_graph(self, G):
'\n \n '
for (node, attr) in G.nodes(data=True):
if (('sub_graph' in attr) and attr['sub_graph']):
logger.debug(f"Traversing sub graph: {node} {attr['inst_type']} {attr['ports']}")
sub_ports = []
ports_weight = {}
... |
def run(self, loaderFunc):
'Called when execution of a feeder element is desired.'
if (loaderFunc == Type.kIntake):
if ((self.xboxMap.getDriveLeftTrig() > 0) and (self.xboxMap.getDriveRightTrig() == 0)):
self.intakeMotor.runIntake(self.intakeMotorSpeed, Direction.kForwards)
log.d... | 4,227,365,644,385,983,500 | Called when execution of a feeder element is desired. | components/Actuators/HighLevel/feederMap.py | run | Raptacon/Robot-2022 | python | def run(self, loaderFunc):
if (loaderFunc == Type.kIntake):
if ((self.xboxMap.getDriveLeftTrig() > 0) and (self.xboxMap.getDriveRightTrig() == 0)):
self.intakeMotor.runIntake(self.intakeMotorSpeed, Direction.kForwards)
log.debug('right trig intake', self.xboxMap.getMechRightTrig... |
def __init__(self, graph=None):
'\n Initializes the CASE document.\n Args:\n graph: The graph to populate (instance of rdflib.Graph)\n If not provided, a graph in memory will be used.\n '
if (not graph):
graph = rdflib.Graph()
graph.namespace_manager... | -570,383,764,642,344,300 | Initializes the CASE document.
Args:
graph: The graph to populate (instance of rdflib.Graph)
If not provided, a graph in memory will be used. | example/case_example.py | __init__ | casework/CASE-API-Python | python | def __init__(self, graph=None):
'\n Initializes the CASE document.\n Args:\n graph: The graph to populate (instance of rdflib.Graph)\n If not provided, a graph in memory will be used.\n '
if (not graph):
graph = rdflib.Graph()
graph.namespace_manager... |
def _sanitize_triple(self, triple):
'Santizes the triple to contains pure rdflib terms.'
(s, p, o) = triple
if isinstance(s, Node):
s = s._node
if isinstance(o, Node):
o = o._node
elif ((o is not None) and (not isinstance(o, rdflib.term.Node))):
o = rdflib.Literal(o)
if (... | -2,340,009,076,956,215,300 | Santizes the triple to contains pure rdflib terms. | example/case_example.py | _sanitize_triple | casework/CASE-API-Python | python | def _sanitize_triple(self, triple):
(s, p, o) = triple
if isinstance(s, Node):
s = s._node
if isinstance(o, Node):
o = o._node
elif ((o is not None) and (not isinstance(o, rdflib.term.Node))):
o = rdflib.Literal(o)
if ((p is not None) and (not isinstance(p, rdflib.term.N... |
def __iter__(self):
'Wrapper for iterating over all triples in the graph'
return iter(self.graph) | 3,017,913,809,145,363,000 | Wrapper for iterating over all triples in the graph | example/case_example.py | __iter__ | casework/CASE-API-Python | python | def __iter__(self):
return iter(self.graph) |
def __contains__(self, triple):
'Wrapper for checking if triple is contained in the graph.'
return (self._sanitize_triple(triple) in self.graph) | -3,107,036,654,600,936,000 | Wrapper for checking if triple is contained in the graph. | example/case_example.py | __contains__ | casework/CASE-API-Python | python | def __contains__(self, triple):
return (self._sanitize_triple(triple) in self.graph) |
def triples(self, triple):
'Generator over the triple store in graph.'
return self.graph.triples(self._sanitize_triple(triple)) | 1,302,646,430,989,216,500 | Generator over the triple store in graph. | example/case_example.py | triples | casework/CASE-API-Python | python | def triples(self, triple):
return self.graph.triples(self._sanitize_triple(triple)) |
def serialize(self, format='json-ld', **kwargs):
"Serializes the document's graph to a destination.\n (Follows same arguments as rdflib.Graph().serialize())"
if (format == 'json-ld'):
if ('context' not in kwargs):
kwargs['context'] = self._json_ld_context()
if ('auto_compact' ... | -4,027,732,136,207,101,400 | Serializes the document's graph to a destination.
(Follows same arguments as rdflib.Graph().serialize()) | example/case_example.py | serialize | casework/CASE-API-Python | python | def serialize(self, format='json-ld', **kwargs):
"Serializes the document's graph to a destination.\n (Follows same arguments as rdflib.Graph().serialize())"
if (format == 'json-ld'):
if ('context' not in kwargs):
kwargs['context'] = self._json_ld_context()
if ('auto_compact' ... |
def create_CoreObject(self, _type=None, **kwargs):
'\n Creates and returns a CoreObject.\n '
return CoreObject(self.graph, rdf_type=_type, **kwargs) | -7,912,393,568,977,087,000 | Creates and returns a CoreObject. | example/case_example.py | create_CoreObject | casework/CASE-API-Python | python | def create_CoreObject(self, _type=None, **kwargs):
'\n \n '
return CoreObject(self.graph, rdf_type=_type, **kwargs) |
def create_ContextObject(self, _type=None, **kwargs):
'\n Creates and returns a Context.\n This class may not have PropertyBundles.\n '
return ContextObject(self.graph, rdf_type=_type, **kwargs) | -7,159,098,150,300,702,000 | Creates and returns a Context.
This class may not have PropertyBundles. | example/case_example.py | create_ContextObject | casework/CASE-API-Python | python | def create_ContextObject(self, _type=None, **kwargs):
'\n Creates and returns a Context.\n This class may not have PropertyBundles.\n '
return ContextObject(self.graph, rdf_type=_type, **kwargs) |
def create_SubObject(self, _type=None, **kwargs):
'\n Creates and returns a Sub.\n This class is for children of one of the above CASE classes.\n This class may not have PropertyBundles.\n '
return SubObject(self.graph, rdf_type=_type, **kwargs) | 6,910,321,356,426,898,000 | Creates and returns a Sub.
This class is for children of one of the above CASE classes.
This class may not have PropertyBundles. | example/case_example.py | create_SubObject | casework/CASE-API-Python | python | def create_SubObject(self, _type=None, **kwargs):
'\n Creates and returns a Sub.\n This class is for children of one of the above CASE classes.\n This class may not have PropertyBundles.\n '
return SubObject(self.graph, rdf_type=_type, **kwargs) |
def create_DuckObject(self, _type=None, **kwargs):
'\n Creates and returns a Duck.\n These lonely Ducks have no parents and are fully duck-typed.\n This class may not have PropertyBundles.\n '
return DuckObject(self.graph, rdf_type=_type, **kwargs) | 4,973,963,120,371,535,000 | Creates and returns a Duck.
These lonely Ducks have no parents and are fully duck-typed.
This class may not have PropertyBundles. | example/case_example.py | create_DuckObject | casework/CASE-API-Python | python | def create_DuckObject(self, _type=None, **kwargs):
'\n Creates and returns a Duck.\n These lonely Ducks have no parents and are fully duck-typed.\n This class may not have PropertyBundles.\n '
return DuckObject(self.graph, rdf_type=_type, **kwargs) |
def __init__(self, graph, uri=None, bnode=False, rdf_type=None, **kwargs):
'Initializes and adds a node to the graph.\n\n NOTE: At least the type or a property must be supplied for the Node\n to exist in the graph.\n\n Args:\n graph: The graph to add this node to. (instance of rdflib... | 8,967,509,059,899,799,000 | Initializes and adds a node to the graph.
NOTE: At least the type or a property must be supplied for the Node
to exist in the graph.
Args:
graph: The graph to add this node to. (instance of rdflib.Graph)
uri: Optional string to set th URI to. (If not provided a UUID will be generated.)
bnode: Whether to c... | example/case_example.py | __init__ | casework/CASE-API-Python | python | def __init__(self, graph, uri=None, bnode=False, rdf_type=None, **kwargs):
'Initializes and adds a node to the graph.\n\n NOTE: At least the type or a property must be supplied for the Node\n to exist in the graph.\n\n Args:\n graph: The graph to add this node to. (instance of rdflib... |
def add(self, property, value):
'Adds a property and its value to the node.'
if (value is None):
return
if isinstance(value, (list, tuple, set)):
for item in value:
self.add(property, item)
return
if isinstance(value, Node):
value = value._node
elif (not i... | 4,964,973,318,960,611,000 | Adds a property and its value to the node. | example/case_example.py | add | casework/CASE-API-Python | python | def add(self, property, value):
if (value is None):
return
if isinstance(value, (list, tuple, set)):
for item in value:
self.add(property, item)
return
if isinstance(value, Node):
value = value._node
elif (not isinstance(value, rdflib.term.Node)):
... |
def __init__(self, graph, rdf_type=None, **kwargs):
'Initializes and adds a node to the graph.\n NOTE: At least the type or a property must be supplied for the Node\n to exist in the graph.\n\n Args:\n graph: The graph to add this node to. (instance of rdflib.Graph)\n rdf_... | 7,103,185,099,151,627,000 | Initializes and adds a node to the graph.
NOTE: At least the type or a property must be supplied for the Node
to exist in the graph.
Args:
graph: The graph to add this node to. (instance of rdflib.Graph)
rdf_type: The RDF type to set this node to.
properties: Extra properties to add to this node.
(More... | example/case_example.py | __init__ | casework/CASE-API-Python | python | def __init__(self, graph, rdf_type=None, **kwargs):
'Initializes and adds a node to the graph.\n NOTE: At least the type or a property must be supplied for the Node\n to exist in the graph.\n\n Args:\n graph: The graph to add this node to. (instance of rdflib.Graph)\n rdf_... |
def create_PropertyBundle(self, prop_type=None, **kwargs):
'Convenience function for adding property bundles to this Trace.\n\n Args:\n type: The @type of property bundle (can be of type rdflib.URIRef or string).\n properties: Properties to add to the created property bundle.\n\n ... | 8,454,463,926,833,009,000 | Convenience function for adding property bundles to this Trace.
Args:
type: The @type of property bundle (can be of type rdflib.URIRef or string).
properties: Properties to add to the created property bundle.
Returns:
The property bundle created (instance of PropertyBundle). | example/case_example.py | create_PropertyBundle | casework/CASE-API-Python | python | def create_PropertyBundle(self, prop_type=None, **kwargs):
'Convenience function for adding property bundles to this Trace.\n\n Args:\n type: The @type of property bundle (can be of type rdflib.URIRef or string).\n properties: Properties to add to the created property bundle.\n\n ... |
def __init__(self, graph, rdf_type=None, **kwargs):
'Initializes and adds a node to the graph.\n NOTE: At least the type or a property must be supplied for the Node\n to exist in the graph.\n\n Args:\n graph: The graph to add this node to. (instance of rdflib.Graph)\n rdf_... | 26,501,929,538,819,850 | Initializes and adds a node to the graph.
NOTE: At least the type or a property must be supplied for the Node
to exist in the graph.
Args:
graph: The graph to add this node to. (instance of rdflib.Graph)
rdf_type: The RDF type to set this node to.
properties: Extra properties to add to this node.
(More... | example/case_example.py | __init__ | casework/CASE-API-Python | python | def __init__(self, graph, rdf_type=None, **kwargs):
'Initializes and adds a node to the graph.\n NOTE: At least the type or a property must be supplied for the Node\n to exist in the graph.\n\n Args:\n graph: The graph to add this node to. (instance of rdflib.Graph)\n rdf_... |
def __init__(self, graph, rdf_type=None, **kwargs):
'Initializes and adds a node to the graph.\n NOTE: At least the type must be supplied for the Node\n to exist in the graph.\n\n Args:\n graph: The graph to add this node to. (instance of rdflib.Graph)\n rdf_type: The RDF ... | -5,985,738,002,460,461,000 | Initializes and adds a node to the graph.
NOTE: At least the type must be supplied for the Node
to exist in the graph.
Args:
graph: The graph to add this node to. (instance of rdflib.Graph)
rdf_type: The RDF type to set this node to.
properties: Extra properties to add to this node.
(More properties ca... | example/case_example.py | __init__ | casework/CASE-API-Python | python | def __init__(self, graph, rdf_type=None, **kwargs):
'Initializes and adds a node to the graph.\n NOTE: At least the type must be supplied for the Node\n to exist in the graph.\n\n Args:\n graph: The graph to add this node to. (instance of rdflib.Graph)\n rdf_type: The RDF ... |
def __init__(self, graph, rdf_type=None, **kwargs):
'Initializes and adds a node to the graph.\n NOTE: At least the type must be supplied for the Node\n to exist in the graph.\n\n Args:\n graph: The graph to add this node to. (instance of rdflib.Graph)\n rdf_type: The RDF ... | 3,458,609,786,989,587,000 | Initializes and adds a node to the graph.
NOTE: At least the type must be supplied for the Node
to exist in the graph.
Args:
graph: The graph to add this node to. (instance of rdflib.Graph)
rdf_type: The RDF type to set this node to.
properties: Extra properties to add to this node.
(More properties ca... | example/case_example.py | __init__ | casework/CASE-API-Python | python | def __init__(self, graph, rdf_type=None, **kwargs):
'Initializes and adds a node to the graph.\n NOTE: At least the type must be supplied for the Node\n to exist in the graph.\n\n Args:\n graph: The graph to add this node to. (instance of rdflib.Graph)\n rdf_type: The RDF ... |
def __init__(self, graph, rdf_type=None, **kwargs):
'Initializes and adds a node to the graph.\n NOTE: At least the type must be supplied for the Node\n to exist in the graph.\n\n Args:\n graph: The graph to add this node to. (instance of rdflib.Graph)\n rdf_type: The RDF ... | 458,313,680,131,040,830 | Initializes and adds a node to the graph.
NOTE: At least the type must be supplied for the Node
to exist in the graph.
Args:
graph: The graph to add this node to. (instance of rdflib.Graph)
rdf_type: The RDF type to set this node to.
properties: Extra properties to add to this node.
(More properties ca... | example/case_example.py | __init__ | casework/CASE-API-Python | python | def __init__(self, graph, rdf_type=None, **kwargs):
'Initializes and adds a node to the graph.\n NOTE: At least the type must be supplied for the Node\n to exist in the graph.\n\n Args:\n graph: The graph to add this node to. (instance of rdflib.Graph)\n rdf_type: The RDF ... |
def create_map_job(config, internal_storage, executor_id, job_id, map_function, iterdata, runtime_meta, runtime_memory, extra_env, include_modules, exclude_modules, execution_timeout, extra_args=None, obj_chunk_size=None, obj_chunk_number=None, invoke_pool_threads=128):
'\n Wrapper to create a map job. It integ... | -4,410,323,720,239,119,000 | Wrapper to create a map job. It integrates COS logic to process objects. | lithops/job/job.py | create_map_job | pablogs98/lithops | python | def create_map_job(config, internal_storage, executor_id, job_id, map_function, iterdata, runtime_meta, runtime_memory, extra_env, include_modules, exclude_modules, execution_timeout, extra_args=None, obj_chunk_size=None, obj_chunk_number=None, invoke_pool_threads=128):
'\n \n '
host_job_meta = {'host_job... |
def create_reduce_job(config, internal_storage, executor_id, reduce_job_id, reduce_function, map_job, map_futures, runtime_meta, runtime_memory, reducer_one_per_object, extra_env, include_modules, exclude_modules, execution_timeout=None):
'\n Wrapper to create a reduce job. Apply a function across all map future... | 266,928,933,511,763,460 | Wrapper to create a reduce job. Apply a function across all map futures. | lithops/job/job.py | create_reduce_job | pablogs98/lithops | python | def create_reduce_job(config, internal_storage, executor_id, reduce_job_id, reduce_function, map_job, map_futures, runtime_meta, runtime_memory, reducer_one_per_object, extra_env, include_modules, exclude_modules, execution_timeout=None):
'\n \n '
host_job_meta = {'host_job_create_tstamp': time.time()}
... |
def _create_job(config, internal_storage, executor_id, job_id, func, iterdata, runtime_meta, runtime_memory, extra_env, include_modules, exclude_modules, execution_timeout, host_job_meta, invoke_pool_threads=128):
'\n :param func: the function to map over the data\n :param iterdata: An iterable of input data\... | 5,071,671,900,706,446,000 | :param func: the function to map over the data
:param iterdata: An iterable of input data
:param extra_env: Additional environment variables for CF environment. Default None.
:param extra_meta: Additional metadata to pass to CF. Default None.
:param remote_invocation: Enable remote invocation. Default False.
:param inv... | lithops/job/job.py | _create_job | pablogs98/lithops | python | def _create_job(config, internal_storage, executor_id, job_id, func, iterdata, runtime_meta, runtime_memory, extra_env, include_modules, exclude_modules, execution_timeout, host_job_meta, invoke_pool_threads=128):
'\n :param func: the function to map over the data\n :param iterdata: An iterable of input data\... |
def untar(path, fname, deleteTar=True):
'\n Unpacks the given archive file to the same directory, then (by default)\n deletes the archive file.\n '
print(('unpacking ' + fname))
fullpath = os.path.join(path, fname)
shutil.unpack_archive(fullpath, path)
if deleteTar:
os.remove(fullpa... | -8,229,018,165,018,037,000 | Unpacks the given archive file to the same directory, then (by default)
deletes the archive file. | cogdl/datasets/gtn_data.py | untar | AlvinWen428/cogdl | python | def untar(path, fname, deleteTar=True):
'\n Unpacks the given archive file to the same directory, then (by default)\n deletes the archive file.\n '
print(('unpacking ' + fname))
fullpath = os.path.join(path, fname)
shutil.unpack_archive(fullpath, path)
if deleteTar:
os.remove(fullpa... |
@property
@abc.abstractmethod
def uuid(self) -> Optional[str]:
'Return the unique identifier of the repository.' | 4,545,748,468,575,769,000 | Return the unique identifier of the repository. | aiida/repository/backend/abstract.py | uuid | azadoks/aiida-core | python | @property
@abc.abstractmethod
def uuid(self) -> Optional[str]:
|
@property
@abc.abstractmethod
def key_format(self) -> Optional[str]:
'Return the format for the keys of the repository.\n\n Important for when migrating between backends (e.g. archive -> main), as if they are not equal then it is\n necessary to re-compute all the `Node.repository_metadata` before impo... | -7,728,492,979,033,497,000 | Return the format for the keys of the repository.
Important for when migrating between backends (e.g. archive -> main), as if they are not equal then it is
necessary to re-compute all the `Node.repository_metadata` before importing (otherwise they will not match
with the repository). | aiida/repository/backend/abstract.py | key_format | azadoks/aiida-core | python | @property
@abc.abstractmethod
def key_format(self) -> Optional[str]:
'Return the format for the keys of the repository.\n\n Important for when migrating between backends (e.g. archive -> main), as if they are not equal then it is\n necessary to re-compute all the `Node.repository_metadata` before impo... |
@abc.abstractmethod
def initialise(self, **kwargs) -> None:
"Initialise the repository if it hasn't already been initialised.\n\n :param kwargs: parameters for the initialisation.\n " | -6,842,518,518,233,794,000 | Initialise the repository if it hasn't already been initialised.
:param kwargs: parameters for the initialisation. | aiida/repository/backend/abstract.py | initialise | azadoks/aiida-core | python | @abc.abstractmethod
def initialise(self, **kwargs) -> None:
"Initialise the repository if it hasn't already been initialised.\n\n :param kwargs: parameters for the initialisation.\n " |
@property
@abc.abstractmethod
def is_initialised(self) -> bool:
'Return whether the repository has been initialised.' | -8,991,978,196,976,154,000 | Return whether the repository has been initialised. | aiida/repository/backend/abstract.py | is_initialised | azadoks/aiida-core | python | @property
@abc.abstractmethod
def is_initialised(self) -> bool:
|
@abc.abstractmethod
def erase(self) -> None:
'Delete the repository itself and all its contents.\n\n .. note:: This should not merely delete the contents of the repository but any resources it created. For\n example, if the repository is essentially a folder on disk, the folder itself should also ... | 8,501,606,104,825,531,000 | Delete the repository itself and all its contents.
.. note:: This should not merely delete the contents of the repository but any resources it created. For
example, if the repository is essentially a folder on disk, the folder itself should also be deleted, not
just its contents. | aiida/repository/backend/abstract.py | erase | azadoks/aiida-core | python | @abc.abstractmethod
def erase(self) -> None:
'Delete the repository itself and all its contents.\n\n .. note:: This should not merely delete the contents of the repository but any resources it created. For\n example, if the repository is essentially a folder on disk, the folder itself should also ... |
def put_object_from_filelike(self, handle: BinaryIO) -> str:
'Store the byte contents of a file in the repository.\n\n :param handle: filelike object with the byte content to be stored.\n :return: the generated fully qualified identifier for the object within the repository.\n :raises TypeError... | 9,115,440,169,624,832,000 | Store the byte contents of a file in the repository.
:param handle: filelike object with the byte content to be stored.
:return: the generated fully qualified identifier for the object within the repository.
:raises TypeError: if the handle is not a byte stream. | aiida/repository/backend/abstract.py | put_object_from_filelike | azadoks/aiida-core | python | def put_object_from_filelike(self, handle: BinaryIO) -> str:
'Store the byte contents of a file in the repository.\n\n :param handle: filelike object with the byte content to be stored.\n :return: the generated fully qualified identifier for the object within the repository.\n :raises TypeError... |
def put_object_from_file(self, filepath: Union[(str, pathlib.Path)]) -> str:
'Store a new object with contents of the file located at `filepath` on this file system.\n\n :param filepath: absolute path of file whose contents to copy to the repository.\n :return: the generated fully qualified identifier... | -7,005,207,975,189,346,000 | Store a new object with contents of the file located at `filepath` on this file system.
:param filepath: absolute path of file whose contents to copy to the repository.
:return: the generated fully qualified identifier for the object within the repository.
:raises TypeError: if the handle is not a byte stream. | aiida/repository/backend/abstract.py | put_object_from_file | azadoks/aiida-core | python | def put_object_from_file(self, filepath: Union[(str, pathlib.Path)]) -> str:
'Store a new object with contents of the file located at `filepath` on this file system.\n\n :param filepath: absolute path of file whose contents to copy to the repository.\n :return: the generated fully qualified identifier... |
@abc.abstractmethod
def has_objects(self, keys: List[str]) -> List[bool]:
'Return whether the repository has an object with the given key.\n\n :param keys:\n list of fully qualified identifiers for objects within the repository.\n :return:\n list of logicals, in the same order as... | -506,592,450,390,231,200 | Return whether the repository has an object with the given key.
:param keys:
list of fully qualified identifiers for objects within the repository.
:return:
list of logicals, in the same order as the keys provided, with value True if the respective
object exists and False otherwise. | aiida/repository/backend/abstract.py | has_objects | azadoks/aiida-core | python | @abc.abstractmethod
def has_objects(self, keys: List[str]) -> List[bool]:
'Return whether the repository has an object with the given key.\n\n :param keys:\n list of fully qualified identifiers for objects within the repository.\n :return:\n list of logicals, in the same order as... |
def has_object(self, key: str) -> bool:
'Return whether the repository has an object with the given key.\n\n :param key: fully qualified identifier for the object within the repository.\n :return: True if the object exists, False otherwise.\n '
return self.has_objects([key])[0] | 8,852,391,107,573,442,000 | Return whether the repository has an object with the given key.
:param key: fully qualified identifier for the object within the repository.
:return: True if the object exists, False otherwise. | aiida/repository/backend/abstract.py | has_object | azadoks/aiida-core | python | def has_object(self, key: str) -> bool:
'Return whether the repository has an object with the given key.\n\n :param key: fully qualified identifier for the object within the repository.\n :return: True if the object exists, False otherwise.\n '
return self.has_objects([key])[0] |
@abc.abstractmethod
def list_objects(self) -> Iterable[str]:
'Return iterable that yields all available objects by key.\n\n :return: An iterable for all the available object keys.\n ' | -939,318,421,040,364,300 | Return iterable that yields all available objects by key.
:return: An iterable for all the available object keys. | aiida/repository/backend/abstract.py | list_objects | azadoks/aiida-core | python | @abc.abstractmethod
def list_objects(self) -> Iterable[str]:
'Return iterable that yields all available objects by key.\n\n :return: An iterable for all the available object keys.\n ' |
@contextlib.contextmanager
def open(self, key: str) -> Iterator[BinaryIO]:
'Open a file handle to an object stored under the given key.\n\n .. note:: this should only be used to open a handle to read an existing file. To write a new file use the method\n ``put_object_from_filelike`` instead.\n\n ... | 3,297,650,485,873,668,000 | Open a file handle to an object stored under the given key.
.. note:: this should only be used to open a handle to read an existing file. To write a new file use the method
``put_object_from_filelike`` instead.
:param key: fully qualified identifier for the object within the repository.
:return: yield a byte stre... | aiida/repository/backend/abstract.py | open | azadoks/aiida-core | python | @contextlib.contextmanager
def open(self, key: str) -> Iterator[BinaryIO]:
'Open a file handle to an object stored under the given key.\n\n .. note:: this should only be used to open a handle to read an existing file. To write a new file use the method\n ``put_object_from_filelike`` instead.\n\n ... |
def get_object_content(self, key: str) -> bytes:
'Return the content of a object identified by key.\n\n :param key: fully qualified identifier for the object within the repository.\n :raise FileNotFoundError: if the file does not exist.\n :raise OSError: if the file could not be opened.\n ... | 8,643,959,129,101,297,000 | Return the content of a object identified by key.
:param key: fully qualified identifier for the object within the repository.
:raise FileNotFoundError: if the file does not exist.
:raise OSError: if the file could not be opened. | aiida/repository/backend/abstract.py | get_object_content | azadoks/aiida-core | python | def get_object_content(self, key: str) -> bytes:
'Return the content of a object identified by key.\n\n :param key: fully qualified identifier for the object within the repository.\n :raise FileNotFoundError: if the file does not exist.\n :raise OSError: if the file could not be opened.\n ... |
@abc.abstractmethod
def iter_object_streams(self, keys: List[str]) -> Iterator[Tuple[(str, BinaryIO)]]:
'Return an iterator over the (read-only) byte streams of objects identified by key.\n\n .. note:: handles should only be read within the context of this iterator.\n\n :param keys: fully qualified id... | -8,532,632,070,989,044,000 | Return an iterator over the (read-only) byte streams of objects identified by key.
.. note:: handles should only be read within the context of this iterator.
:param keys: fully qualified identifiers for the objects within the repository.
:return: an iterator over the object byte streams.
:raise FileNotFoundError: if ... | aiida/repository/backend/abstract.py | iter_object_streams | azadoks/aiida-core | python | @abc.abstractmethod
def iter_object_streams(self, keys: List[str]) -> Iterator[Tuple[(str, BinaryIO)]]:
'Return an iterator over the (read-only) byte streams of objects identified by key.\n\n .. note:: handles should only be read within the context of this iterator.\n\n :param keys: fully qualified id... |
def get_object_hash(self, key: str) -> str:
'Return the SHA-256 hash of an object stored under the given key.\n\n .. important::\n A SHA-256 hash should always be returned,\n to ensure consistency across different repository implementations.\n\n :param key: fully qualified identi... | -5,363,301,719,493,803,000 | Return the SHA-256 hash of an object stored under the given key.
.. important::
A SHA-256 hash should always be returned,
to ensure consistency across different repository implementations.
:param key: fully qualified identifier for the object within the repository.
:raise FileNotFoundError: if the file does n... | aiida/repository/backend/abstract.py | get_object_hash | azadoks/aiida-core | python | def get_object_hash(self, key: str) -> str:
'Return the SHA-256 hash of an object stored under the given key.\n\n .. important::\n A SHA-256 hash should always be returned,\n to ensure consistency across different repository implementations.\n\n :param key: fully qualified identi... |
@abc.abstractmethod
def delete_objects(self, keys: List[str]) -> None:
'Delete the objects from the repository.\n\n :param keys: list of fully qualified identifiers for the objects within the repository.\n :raise FileNotFoundError: if any of the files does not exist.\n :raise OSError: if any of... | 6,488,864,614,444,447,000 | Delete the objects from the repository.
:param keys: list of fully qualified identifiers for the objects within the repository.
:raise FileNotFoundError: if any of the files does not exist.
:raise OSError: if any of the files could not be deleted. | aiida/repository/backend/abstract.py | delete_objects | azadoks/aiida-core | python | @abc.abstractmethod
def delete_objects(self, keys: List[str]) -> None:
'Delete the objects from the repository.\n\n :param keys: list of fully qualified identifiers for the objects within the repository.\n :raise FileNotFoundError: if any of the files does not exist.\n :raise OSError: if any of... |
def delete_object(self, key: str) -> None:
'Delete the object from the repository.\n\n :param key: fully qualified identifier for the object within the repository.\n :raise FileNotFoundError: if the file does not exist.\n :raise OSError: if the file could not be deleted.\n '
return s... | 2,549,091,568,805,183,000 | Delete the object from the repository.
:param key: fully qualified identifier for the object within the repository.
:raise FileNotFoundError: if the file does not exist.
:raise OSError: if the file could not be deleted. | aiida/repository/backend/abstract.py | delete_object | azadoks/aiida-core | python | def delete_object(self, key: str) -> None:
'Delete the object from the repository.\n\n :param key: fully qualified identifier for the object within the repository.\n :raise FileNotFoundError: if the file does not exist.\n :raise OSError: if the file could not be deleted.\n '
return s... |
@classmethod
def setUpClass(cls):
'Launch the webdriver of choice with selected options(see browserconfig.py).\n Then login using pickled cookies(see tests/pickledlogin.py).'
if (browserconfig.current_browser in ['chrome', 'firefox']):
cls.driver = browserconfig.driver_runner(executable_path=brow... | 547,812,806,824,385,660 | Launch the webdriver of choice with selected options(see browserconfig.py).
Then login using pickled cookies(see tests/pickledlogin.py). | tests/test_headerpage.py | setUpClass | BradleyPelton/NetflixSelenium | python | @classmethod
def setUpClass(cls):
'Launch the webdriver of choice with selected options(see browserconfig.py).\n Then login using pickled cookies(see tests/pickledlogin.py).'
if (browserconfig.current_browser in ['chrome', 'firefox']):
cls.driver = browserconfig.driver_runner(executable_path=brow... |
@classmethod
def tearDownClass(cls):
'Closes the browser and shuts down the driver executable.'
cls.driver.quit() | 1,645,581,262,967,605,800 | Closes the browser and shuts down the driver executable. | tests/test_headerpage.py | tearDownClass | BradleyPelton/NetflixSelenium | python | @classmethod
def tearDownClass(cls):
cls.driver.quit() |
def setUp(self):
'Return to the home page, netflix.com/browse, the staging place for header tests.'
self.driver.get('https://netflix.com/browse') | 3,288,124,154,217,542,700 | Return to the home page, netflix.com/browse, the staging place for header tests. | tests/test_headerpage.py | setUp | BradleyPelton/NetflixSelenium | python | def setUp(self):
self.driver.get('https://netflix.com/browse') |
def test_logout_from_header(self):
'Logout from the header.'
header_page = pagemodels.headerpage.HeaderPage(self.driver)
header_page.logout()
self.assertIn('logout', self.driver.current_url)
tests.pickledlogin.pickled_login(self.driver) | 2,353,134,763,560,939,000 | Logout from the header. | tests/test_headerpage.py | test_logout_from_header | BradleyPelton/NetflixSelenium | python | def test_logout_from_header(self):
header_page = pagemodels.headerpage.HeaderPage(self.driver)
header_page.logout()
self.assertIn('logout', self.driver.current_url)
tests.pickledlogin.pickled_login(self.driver) |
def test_navigate_home_from_my_list(self):
'Using the giant Netflix logo in the top left, navigate to the home page /browse/\n from the my-list page.'
self.driver.get('https://www.netflix.com/browse/my-list')
header_page = pagemodels.headerpage.HeaderPage(self.driver)
header_page.navigate_to_home... | -5,558,719,885,448,803,000 | Using the giant Netflix logo in the top left, navigate to the home page /browse/
from the my-list page. | tests/test_headerpage.py | test_navigate_home_from_my_list | BradleyPelton/NetflixSelenium | python | def test_navigate_home_from_my_list(self):
'Using the giant Netflix logo in the top left, navigate to the home page /browse/\n from the my-list page.'
self.driver.get('https://www.netflix.com/browse/my-list')
header_page = pagemodels.headerpage.HeaderPage(self.driver)
header_page.navigate_to_home... |
def test_navigate_to_manage_profile(self):
'Using the header account dropdown, navigate to the manage profile page.'
header_page = pagemodels.headerpage.HeaderPage(self.driver)
header_page.navigate_to_manage_profile()
self.assertIn('profiles/manage', self.driver.current_url) | -6,285,243,719,116,505,000 | Using the header account dropdown, navigate to the manage profile page. | tests/test_headerpage.py | test_navigate_to_manage_profile | BradleyPelton/NetflixSelenium | python | def test_navigate_to_manage_profile(self):
header_page = pagemodels.headerpage.HeaderPage(self.driver)
header_page.navigate_to_manage_profile()
self.assertIn('profiles/manage', self.driver.current_url) |
def test_search_for_shawshank(self):
"Using the search field, search for 'shawshank' and assert that shawshank was found."
header_page = pagemodels.headerpage.HeaderPage(self.driver)
header_page.search('shawshank')
self.assertIn('The Shawshank Redemption', self.driver.page_source) | 428,388,069,566,930,800 | Using the search field, search for 'shawshank' and assert that shawshank was found. | tests/test_headerpage.py | test_search_for_shawshank | BradleyPelton/NetflixSelenium | python | def test_search_for_shawshank(self):
header_page = pagemodels.headerpage.HeaderPage(self.driver)
header_page.search('shawshank')
self.assertIn('The Shawshank Redemption', self.driver.page_source) |
def test_click_top_notification(self):
'Click the top notification and assert that the page has changed.'
header_page = pagemodels.headerpage.HeaderPage(self.driver)
header_page.click_top_notification()
self.assertTrue((('title' in self.driver.current_url) or ('notification' in self.driver.current_url))... | -6,941,320,859,743,506,000 | Click the top notification and assert that the page has changed. | tests/test_headerpage.py | test_click_top_notification | BradleyPelton/NetflixSelenium | python | def test_click_top_notification(self):
header_page = pagemodels.headerpage.HeaderPage(self.driver)
header_page.click_top_notification()
self.assertTrue((('title' in self.driver.current_url) or ('notification' in self.driver.current_url))) |
def dnn(tensor_in, hidden_units, activation=nn.relu, dropout=None):
'Creates fully connected deep neural network subgraph.\n\n Args:\n tensor_in: tensor or placeholder for input features.\n hidden_units: list of counts of hidden units in each layer.\n activation: activation function between layers. Can be... | -8,516,419,455,471,346,000 | Creates fully connected deep neural network subgraph.
Args:
tensor_in: tensor or placeholder for input features.
hidden_units: list of counts of hidden units in each layer.
activation: activation function between layers. Can be None.
dropout: if not None, will add a dropout layer with given probability.
Retur... | tensorflow/contrib/learn/python/learn/ops/dnn_ops.py | dnn | InfoPrice/tensorflow | python | def dnn(tensor_in, hidden_units, activation=nn.relu, dropout=None):
'Creates fully connected deep neural network subgraph.\n\n Args:\n tensor_in: tensor or placeholder for input features.\n hidden_units: list of counts of hidden units in each layer.\n activation: activation function between layers. Can be... |
def __init__(self, parent=None, orientation='bottom', *args, **kargs):
"\n The *orientation* argument may be 'bottom', 'top', 'left', or 'right' \n indicating whether the gradient is displayed horizontally (top, bottom)\n or vertically (left, right) and on what side of the gradient the editable... | 3,786,569,015,888,706,600 | The *orientation* argument may be 'bottom', 'top', 'left', or 'right'
indicating whether the gradient is displayed horizontally (top, bottom)
or vertically (left, right) and on what side of the gradient the editable
ticks will appear.
All other arguments are passed to
:func:`GradientEditorItem.__init__ <pyqtgraph.G... | scripts/pyqtgraph-develop/pyqtgraph/widgets/GradientWidget.py | __init__ | kuldeepaman/tf-pose | python | def __init__(self, parent=None, orientation='bottom', *args, **kargs):
"\n The *orientation* argument may be 'bottom', 'top', 'left', or 'right' \n indicating whether the gradient is displayed horizontally (top, bottom)\n or vertically (left, right) and on what side of the gradient the editable... |
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