body_hash stringlengths 64 64 | body stringlengths 23 109k | docstring stringlengths 1 57k | path stringlengths 4 198 | name stringlengths 1 115 | repository_name stringlengths 7 111 | repository_stars float64 0 191k | lang stringclasses 1
value | body_without_docstring stringlengths 14 108k | unified stringlengths 45 133k |
|---|---|---|---|---|---|---|---|---|---|
c40a8e83777a384fa7c09f7925ae43a6d8f0063a7499fe411dda86d6fc31b317 | @external_stylesheets.setter
def external_stylesheets(self, external_stylesheets: list) -> None:
'Set optional external stylesheets to be used in the Dash\n application. The input variable `external_stylesheets` should be\n a list.'
self._external_stylesheets = external_stylesheets | Set optional external stylesheets to be used in the Dash
application. The input variable `external_stylesheets` should be
a list. | webviz_config/_theme_class.py | external_stylesheets | magnesj/webviz-config | 44 | python | @external_stylesheets.setter
def external_stylesheets(self, external_stylesheets: list) -> None:
'Set optional external stylesheets to be used in the Dash\n application. The input variable `external_stylesheets` should be\n a list.'
self._external_stylesheets = external_stylesheets | @external_stylesheets.setter
def external_stylesheets(self, external_stylesheets: list) -> None:
'Set optional external stylesheets to be used in the Dash\n application. The input variable `external_stylesheets` should be\n a list.'
self._external_stylesheets = external_stylesheets<|docstring|>Set... |
81d403103576e081e793107e976a1efac24f52796b85df3f6d19d269f15e5c6d | @assets.setter
def assets(self, assets: list) -> None:
'Set optional theme assets to be copied over to the `./assets` folder\n when the webviz dash application is created. The input variable\n `assets` should be a list of absolute file paths to the different\n assets.\n '
self._asset... | Set optional theme assets to be copied over to the `./assets` folder
when the webviz dash application is created. The input variable
`assets` should be a list of absolute file paths to the different
assets. | webviz_config/_theme_class.py | assets | magnesj/webviz-config | 44 | python | @assets.setter
def assets(self, assets: list) -> None:
'Set optional theme assets to be copied over to the `./assets` folder\n when the webviz dash application is created. The input variable\n `assets` should be a list of absolute file paths to the different\n assets.\n '
self._asset... | @assets.setter
def assets(self, assets: list) -> None:
'Set optional theme assets to be copied over to the `./assets` folder\n when the webviz dash application is created. The input variable\n `assets` should be a list of absolute file paths to the different\n assets.\n '
self._asset... |
bd166e5c32368c8916f4c0d7177fc7cff945f2101f0eebbfacb93779a235ae90 | def __init__(self, content_caching_parent_capabilities_id=None, imports=None, namespaces=None, personal_content=None, query_parameters=None, shared_content=None, prioritization=None, local_vars_configuration=None):
'ComputerContentCachingParentCapabilities - a model defined in OpenAPI'
if (local_vars_configurat... | ComputerContentCachingParentCapabilities - a model defined in OpenAPI | jamf/models/computer_content_caching_parent_capabilities.py | __init__ | jensenbox/python-jamf | 1 | python | def __init__(self, content_caching_parent_capabilities_id=None, imports=None, namespaces=None, personal_content=None, query_parameters=None, shared_content=None, prioritization=None, local_vars_configuration=None):
if (local_vars_configuration is None):
local_vars_configuration = Configuration()
se... | def __init__(self, content_caching_parent_capabilities_id=None, imports=None, namespaces=None, personal_content=None, query_parameters=None, shared_content=None, prioritization=None, local_vars_configuration=None):
if (local_vars_configuration is None):
local_vars_configuration = Configuration()
se... |
187776c2c4840567382766ca950f99c3f6f1f8ad71654cd737ad8cb2d7b30097 | @property
def content_caching_parent_capabilities_id(self):
'Gets the content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtyp... | Gets the content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities. # noqa: E501
:return: The content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities. # noqa: E501
:rtype: str | jamf/models/computer_content_caching_parent_capabilities.py | content_caching_parent_capabilities_id | jensenbox/python-jamf | 1 | python | @property
def content_caching_parent_capabilities_id(self):
'Gets the content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtyp... | @property
def content_caching_parent_capabilities_id(self):
'Gets the content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtyp... |
caf7db01989b53d8d85f1c5ab25a0d8b7f85a209985eb249b08dfe6972e06ba8 | @content_caching_parent_capabilities_id.setter
def content_caching_parent_capabilities_id(self, content_caching_parent_capabilities_id):
'Sets the content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities.\n\n\n :param content_caching_parent_capabilities_id: The content_caching_... | Sets the content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities.
:param content_caching_parent_capabilities_id: The content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities. # noqa: E501
:type content_caching_parent_capabilities_id: str | jamf/models/computer_content_caching_parent_capabilities.py | content_caching_parent_capabilities_id | jensenbox/python-jamf | 1 | python | @content_caching_parent_capabilities_id.setter
def content_caching_parent_capabilities_id(self, content_caching_parent_capabilities_id):
'Sets the content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities.\n\n\n :param content_caching_parent_capabilities_id: The content_caching_... | @content_caching_parent_capabilities_id.setter
def content_caching_parent_capabilities_id(self, content_caching_parent_capabilities_id):
'Sets the content_caching_parent_capabilities_id of this ComputerContentCachingParentCapabilities.\n\n\n :param content_caching_parent_capabilities_id: The content_caching_... |
1941cad6abea63f5282c6c557a154a92b3990f682756dce0c8c9f8e081976982 | @property
def imports(self):
'Gets the imports of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The imports of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._imports | Gets the imports of this ComputerContentCachingParentCapabilities. # noqa: E501
:return: The imports of this ComputerContentCachingParentCapabilities. # noqa: E501
:rtype: bool | jamf/models/computer_content_caching_parent_capabilities.py | imports | jensenbox/python-jamf | 1 | python | @property
def imports(self):
'Gets the imports of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The imports of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._imports | @property
def imports(self):
'Gets the imports of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The imports of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._imports<|docstring|>Gets the imports of this ComputerCont... |
05aeaebef6d616922718b1f136a43885e661d7eab3f6252353b7e7db5f5e3c56 | @imports.setter
def imports(self, imports):
'Sets the imports of this ComputerContentCachingParentCapabilities.\n\n\n :param imports: The imports of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type imports: bool\n '
self._imports = imports | Sets the imports of this ComputerContentCachingParentCapabilities.
:param imports: The imports of this ComputerContentCachingParentCapabilities. # noqa: E501
:type imports: bool | jamf/models/computer_content_caching_parent_capabilities.py | imports | jensenbox/python-jamf | 1 | python | @imports.setter
def imports(self, imports):
'Sets the imports of this ComputerContentCachingParentCapabilities.\n\n\n :param imports: The imports of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type imports: bool\n '
self._imports = imports | @imports.setter
def imports(self, imports):
'Sets the imports of this ComputerContentCachingParentCapabilities.\n\n\n :param imports: The imports of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type imports: bool\n '
self._imports = imports<|docstring|>Sets the imports of... |
ed3c7ef8c8d9421691ae6cfea02a249a62aa59351c6a74e7eb7a81c9894b6eb4 | @property
def namespaces(self):
'Gets the namespaces of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The namespaces of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._namespaces | Gets the namespaces of this ComputerContentCachingParentCapabilities. # noqa: E501
:return: The namespaces of this ComputerContentCachingParentCapabilities. # noqa: E501
:rtype: bool | jamf/models/computer_content_caching_parent_capabilities.py | namespaces | jensenbox/python-jamf | 1 | python | @property
def namespaces(self):
'Gets the namespaces of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The namespaces of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._namespaces | @property
def namespaces(self):
'Gets the namespaces of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The namespaces of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._namespaces<|docstring|>Gets the namespaces of th... |
ad212932ef017938c222d50cd5f5c5ddffedefe9aa8f9f8fadba8f40d2c43e48 | @namespaces.setter
def namespaces(self, namespaces):
'Sets the namespaces of this ComputerContentCachingParentCapabilities.\n\n\n :param namespaces: The namespaces of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type namespaces: bool\n '
self._namespaces = namespaces | Sets the namespaces of this ComputerContentCachingParentCapabilities.
:param namespaces: The namespaces of this ComputerContentCachingParentCapabilities. # noqa: E501
:type namespaces: bool | jamf/models/computer_content_caching_parent_capabilities.py | namespaces | jensenbox/python-jamf | 1 | python | @namespaces.setter
def namespaces(self, namespaces):
'Sets the namespaces of this ComputerContentCachingParentCapabilities.\n\n\n :param namespaces: The namespaces of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type namespaces: bool\n '
self._namespaces = namespaces | @namespaces.setter
def namespaces(self, namespaces):
'Sets the namespaces of this ComputerContentCachingParentCapabilities.\n\n\n :param namespaces: The namespaces of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type namespaces: bool\n '
self._namespaces = namespaces<|doc... |
0cebc95241ece33bb9aa8ab0dbcbc651df550ad4892ff026c7bc551b458024b1 | @property
def personal_content(self):
'Gets the personal_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The personal_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._personal_content | Gets the personal_content of this ComputerContentCachingParentCapabilities. # noqa: E501
:return: The personal_content of this ComputerContentCachingParentCapabilities. # noqa: E501
:rtype: bool | jamf/models/computer_content_caching_parent_capabilities.py | personal_content | jensenbox/python-jamf | 1 | python | @property
def personal_content(self):
'Gets the personal_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The personal_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._personal_content | @property
def personal_content(self):
'Gets the personal_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The personal_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._personal_content<|docstring|>G... |
61a991855ede7dafdb5608e90b07f4eaaeca3b0c9315cbe648f82de813cd90a8 | @personal_content.setter
def personal_content(self, personal_content):
'Sets the personal_content of this ComputerContentCachingParentCapabilities.\n\n\n :param personal_content: The personal_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type personal_content: bool\n ... | Sets the personal_content of this ComputerContentCachingParentCapabilities.
:param personal_content: The personal_content of this ComputerContentCachingParentCapabilities. # noqa: E501
:type personal_content: bool | jamf/models/computer_content_caching_parent_capabilities.py | personal_content | jensenbox/python-jamf | 1 | python | @personal_content.setter
def personal_content(self, personal_content):
'Sets the personal_content of this ComputerContentCachingParentCapabilities.\n\n\n :param personal_content: The personal_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type personal_content: bool\n ... | @personal_content.setter
def personal_content(self, personal_content):
'Sets the personal_content of this ComputerContentCachingParentCapabilities.\n\n\n :param personal_content: The personal_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type personal_content: bool\n ... |
6b7affc48cf86b179451a96345d8ce94d69381707d56773f19b3b82166a10715 | @property
def query_parameters(self):
'Gets the query_parameters of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The query_parameters of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._query_parameters | Gets the query_parameters of this ComputerContentCachingParentCapabilities. # noqa: E501
:return: The query_parameters of this ComputerContentCachingParentCapabilities. # noqa: E501
:rtype: bool | jamf/models/computer_content_caching_parent_capabilities.py | query_parameters | jensenbox/python-jamf | 1 | python | @property
def query_parameters(self):
'Gets the query_parameters of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The query_parameters of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._query_parameters | @property
def query_parameters(self):
'Gets the query_parameters of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The query_parameters of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._query_parameters<|docstring|>G... |
96a423acda405ceb3b1aeb4605e80bdb150beaef475bf05fb9156e64ef0ce7f7 | @query_parameters.setter
def query_parameters(self, query_parameters):
'Sets the query_parameters of this ComputerContentCachingParentCapabilities.\n\n\n :param query_parameters: The query_parameters of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type query_parameters: bool\n ... | Sets the query_parameters of this ComputerContentCachingParentCapabilities.
:param query_parameters: The query_parameters of this ComputerContentCachingParentCapabilities. # noqa: E501
:type query_parameters: bool | jamf/models/computer_content_caching_parent_capabilities.py | query_parameters | jensenbox/python-jamf | 1 | python | @query_parameters.setter
def query_parameters(self, query_parameters):
'Sets the query_parameters of this ComputerContentCachingParentCapabilities.\n\n\n :param query_parameters: The query_parameters of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type query_parameters: bool\n ... | @query_parameters.setter
def query_parameters(self, query_parameters):
'Sets the query_parameters of this ComputerContentCachingParentCapabilities.\n\n\n :param query_parameters: The query_parameters of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type query_parameters: bool\n ... |
8b6e5dbb69b09dd1b7b1ae7bb6c6244091ff5ba01038ad3b7d2505aaacea3c35 | @property
def shared_content(self):
'Gets the shared_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The shared_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._shared_content | Gets the shared_content of this ComputerContentCachingParentCapabilities. # noqa: E501
:return: The shared_content of this ComputerContentCachingParentCapabilities. # noqa: E501
:rtype: bool | jamf/models/computer_content_caching_parent_capabilities.py | shared_content | jensenbox/python-jamf | 1 | python | @property
def shared_content(self):
'Gets the shared_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The shared_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._shared_content | @property
def shared_content(self):
'Gets the shared_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The shared_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._shared_content<|docstring|>Gets the ... |
48469b2b33844797435c4eae8bbec5a153842a24dd08dc509aed630f471136ae | @shared_content.setter
def shared_content(self, shared_content):
'Sets the shared_content of this ComputerContentCachingParentCapabilities.\n\n\n :param shared_content: The shared_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type shared_content: bool\n '
self._... | Sets the shared_content of this ComputerContentCachingParentCapabilities.
:param shared_content: The shared_content of this ComputerContentCachingParentCapabilities. # noqa: E501
:type shared_content: bool | jamf/models/computer_content_caching_parent_capabilities.py | shared_content | jensenbox/python-jamf | 1 | python | @shared_content.setter
def shared_content(self, shared_content):
'Sets the shared_content of this ComputerContentCachingParentCapabilities.\n\n\n :param shared_content: The shared_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type shared_content: bool\n '
self._... | @shared_content.setter
def shared_content(self, shared_content):
'Sets the shared_content of this ComputerContentCachingParentCapabilities.\n\n\n :param shared_content: The shared_content of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type shared_content: bool\n '
self._... |
a6a6835c5dc884b6661fe3dda608a13f44486e46d72fc28d05d74cbb3191a978 | @property
def prioritization(self):
'Gets the prioritization of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The prioritization of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._prioritization | Gets the prioritization of this ComputerContentCachingParentCapabilities. # noqa: E501
:return: The prioritization of this ComputerContentCachingParentCapabilities. # noqa: E501
:rtype: bool | jamf/models/computer_content_caching_parent_capabilities.py | prioritization | jensenbox/python-jamf | 1 | python | @property
def prioritization(self):
'Gets the prioritization of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The prioritization of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._prioritization | @property
def prioritization(self):
'Gets the prioritization of this ComputerContentCachingParentCapabilities. # noqa: E501\n\n\n :return: The prioritization of this ComputerContentCachingParentCapabilities. # noqa: E501\n :rtype: bool\n '
return self._prioritization<|docstring|>Gets the ... |
a8c3def180e674394d66d4e5a8a7102607133e7c3fa8aa6a928c17fe58ce51cd | @prioritization.setter
def prioritization(self, prioritization):
'Sets the prioritization of this ComputerContentCachingParentCapabilities.\n\n\n :param prioritization: The prioritization of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type prioritization: bool\n '
self._... | Sets the prioritization of this ComputerContentCachingParentCapabilities.
:param prioritization: The prioritization of this ComputerContentCachingParentCapabilities. # noqa: E501
:type prioritization: bool | jamf/models/computer_content_caching_parent_capabilities.py | prioritization | jensenbox/python-jamf | 1 | python | @prioritization.setter
def prioritization(self, prioritization):
'Sets the prioritization of this ComputerContentCachingParentCapabilities.\n\n\n :param prioritization: The prioritization of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type prioritization: bool\n '
self._... | @prioritization.setter
def prioritization(self, prioritization):
'Sets the prioritization of this ComputerContentCachingParentCapabilities.\n\n\n :param prioritization: The prioritization of this ComputerContentCachingParentCapabilities. # noqa: E501\n :type prioritization: bool\n '
self._... |
5a4e41bb6a0def746593298cb605df98f1366e957c4ca89b12010ea7db707963 | def to_dict(self):
'Returns the model properties as a dict'
result = {}
for (attr, _) in six.iteritems(self.openapi_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))
e... | Returns the model properties as a dict | jamf/models/computer_content_caching_parent_capabilities.py | to_dict | jensenbox/python-jamf | 1 | python | def to_dict(self):
result = {}
for (attr, _) in six.iteritems(self.openapi_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_dict'):
... | def to_dict(self):
result = {}
for (attr, _) in six.iteritems(self.openapi_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_dict'):
... |
cbb19eaa2fc8a113d9e32f924ef280a7e97563f8915f94f65dab438997af2e99 | def to_str(self):
'Returns the string representation of the model'
return pprint.pformat(self.to_dict()) | Returns the string representation of the model | jamf/models/computer_content_caching_parent_capabilities.py | to_str | jensenbox/python-jamf | 1 | python | def to_str(self):
return pprint.pformat(self.to_dict()) | def to_str(self):
return pprint.pformat(self.to_dict())<|docstring|>Returns the string representation of the model<|endoftext|> |
772243a2c2b3261a9b954d07aaf295e3c1242a579a495e2d6a5679c677861703 | def __repr__(self):
'For `print` and `pprint`'
return self.to_str() | For `print` and `pprint` | jamf/models/computer_content_caching_parent_capabilities.py | __repr__ | jensenbox/python-jamf | 1 | python | def __repr__(self):
return self.to_str() | def __repr__(self):
return self.to_str()<|docstring|>For `print` and `pprint`<|endoftext|> |
e1d3947da68403c4865fd043ca290ba466e045bad9d50292d5fb5b736ac2ab89 | def __eq__(self, other):
'Returns true if both objects are equal'
if (not isinstance(other, ComputerContentCachingParentCapabilities)):
return False
return (self.to_dict() == other.to_dict()) | Returns true if both objects are equal | jamf/models/computer_content_caching_parent_capabilities.py | __eq__ | jensenbox/python-jamf | 1 | python | def __eq__(self, other):
if (not isinstance(other, ComputerContentCachingParentCapabilities)):
return False
return (self.to_dict() == other.to_dict()) | def __eq__(self, other):
if (not isinstance(other, ComputerContentCachingParentCapabilities)):
return False
return (self.to_dict() == other.to_dict())<|docstring|>Returns true if both objects are equal<|endoftext|> |
7954d02bc09fedecd5a074434db76e84de652db96110887c518c32f76d37e919 | def __ne__(self, other):
'Returns true if both objects are not equal'
if (not isinstance(other, ComputerContentCachingParentCapabilities)):
return True
return (self.to_dict() != other.to_dict()) | Returns true if both objects are not equal | jamf/models/computer_content_caching_parent_capabilities.py | __ne__ | jensenbox/python-jamf | 1 | python | def __ne__(self, other):
if (not isinstance(other, ComputerContentCachingParentCapabilities)):
return True
return (self.to_dict() != other.to_dict()) | def __ne__(self, other):
if (not isinstance(other, ComputerContentCachingParentCapabilities)):
return True
return (self.to_dict() != other.to_dict())<|docstring|>Returns true if both objects are not equal<|endoftext|> |
c5ffa81203ba9877647ec6c2cf868f6756fc3faec515440123172d0b831dd612 | def get_legislation_affecting_rcw_cite(biennium: str, rcw_cite: str) -> Dict[(str, Any)]:
'See: http://wslwebservices.leg.wa.gov/rcwciteaffectedservice.asmx?op=GetLegislationAffectingRcwCite'
argdict: Dict[(str, Any)] = dict(biennium=biennium, rcwCite=rcw_cite)
keydict: Dict[(str, Any)] = {'billnumber': int... | See: http://wslwebservices.leg.wa.gov/rcwciteaffectedservice.asmx?op=GetLegislationAffectingRcwCite | wa_leg_api/rcwciteaffected.py | get_legislation_affecting_rcw_cite | ryansloan/wa-leg-api | 3 | python | def get_legislation_affecting_rcw_cite(biennium: str, rcw_cite: str) -> Dict[(str, Any)]:
argdict: Dict[(str, Any)] = dict(biennium=biennium, rcwCite=rcw_cite)
keydict: Dict[(str, Any)] = {'billnumber': int, 'substituteversion': int, 'engrossedversion': int, 'active': (lambda boolstr: (boolstr.lower() == '... | def get_legislation_affecting_rcw_cite(biennium: str, rcw_cite: str) -> Dict[(str, Any)]:
argdict: Dict[(str, Any)] = dict(biennium=biennium, rcwCite=rcw_cite)
keydict: Dict[(str, Any)] = {'billnumber': int, 'substituteversion': int, 'engrossedversion': int, 'active': (lambda boolstr: (boolstr.lower() == '... |
137686993c5c9cbef09dec2e26a9c6c25ce5ef7ff1fbd7dc0bc0495107f34bd1 | def get_legislation_affecting_rcw(biennium: str, rcw_cite: str) -> Dict[(str, Any)]:
'See: http://wslwebservices.leg.wa.gov/rcwciteaffectedservice.asmx?op=GetLegislationAffectingRcw'
argdict: Dict[(str, Any)] = dict(biennium=biennium, rcwCite=rcw_cite)
keydict: Dict[(str, Any)] = {'billnumber': int, 'substi... | See: http://wslwebservices.leg.wa.gov/rcwciteaffectedservice.asmx?op=GetLegislationAffectingRcw | wa_leg_api/rcwciteaffected.py | get_legislation_affecting_rcw | ryansloan/wa-leg-api | 3 | python | def get_legislation_affecting_rcw(biennium: str, rcw_cite: str) -> Dict[(str, Any)]:
argdict: Dict[(str, Any)] = dict(biennium=biennium, rcwCite=rcw_cite)
keydict: Dict[(str, Any)] = {'billnumber': int, 'substituteversion': int, 'engrossedversion': int, 'active': (lambda boolstr: (boolstr.lower() == 'true'... | def get_legislation_affecting_rcw(biennium: str, rcw_cite: str) -> Dict[(str, Any)]:
argdict: Dict[(str, Any)] = dict(biennium=biennium, rcwCite=rcw_cite)
keydict: Dict[(str, Any)] = {'billnumber': int, 'substituteversion': int, 'engrossedversion': int, 'active': (lambda boolstr: (boolstr.lower() == 'true'... |
55eb2c1c98644dc267061c06b5ed6b99311b545a8a14f8e238746bfd846d1ff3 | def _match_query(query, attrs, attrs_checked):
'Match an ldap query to an attribute dictionary.\n\n The characters &, |, and ! are supported in the query. No syntax checking\n is performed, so malformed queries will not work correctly.\n '
inner = query[1:(- 1)]
if inner.startswith(('&', '|')):
... | Match an ldap query to an attribute dictionary.
The characters &, |, and ! are supported in the query. No syntax checking
is performed, so malformed queries will not work correctly. | keystone/tests/unit/fakeldap.py | _match_query | knikolla/keystone | 615 | python | def _match_query(query, attrs, attrs_checked):
'Match an ldap query to an attribute dictionary.\n\n The characters &, |, and ! are supported in the query. No syntax checking\n is performed, so malformed queries will not work correctly.\n '
inner = query[1:(- 1)]
if inner.startswith(('&', '|')):
... | def _match_query(query, attrs, attrs_checked):
'Match an ldap query to an attribute dictionary.\n\n The characters &, |, and ! are supported in the query. No syntax checking\n is performed, so malformed queries will not work correctly.\n '
inner = query[1:(- 1)]
if inner.startswith(('&', '|')):
... |
8b61af187d06195199301614d780516d2250d7e0869ef69ebd93e53f2d85c967 | def _paren_groups(source):
'Split a string into parenthesized groups.'
count = 0
start = 0
result = []
for pos in range(len(source)):
if (source[pos] == '('):
if (count == 0):
start = pos
count += 1
if (source[pos] == ')'):
count -=... | Split a string into parenthesized groups. | keystone/tests/unit/fakeldap.py | _paren_groups | knikolla/keystone | 615 | python | def _paren_groups(source):
count = 0
start = 0
result = []
for pos in range(len(source)):
if (source[pos] == '('):
if (count == 0):
start = pos
count += 1
if (source[pos] == ')'):
count -= 1
if (count == 0):
... | def _paren_groups(source):
count = 0
start = 0
result = []
for pos in range(len(source)):
if (source[pos] == '('):
if (count == 0):
start = pos
count += 1
if (source[pos] == ')'):
count -= 1
if (count == 0):
... |
d518857f8226c21cc53fe52a024ea9f75d18c2e163dc380593a49db64cf46c0c | def _match(key, value, attrs):
'Match a given key and value against an attribute list.'
def match_with_wildcards(norm_val, val_list):
if norm_val.startswith('*'):
if norm_val.endswith('*'):
for x in val_list:
if (norm_val[1:(- 1)] in x):
... | Match a given key and value against an attribute list. | keystone/tests/unit/fakeldap.py | _match | knikolla/keystone | 615 | python | def _match(key, value, attrs):
def match_with_wildcards(norm_val, val_list):
if norm_val.startswith('*'):
if norm_val.endswith('*'):
for x in val_list:
if (norm_val[1:(- 1)] in x):
return True
else:
for... | def _match(key, value, attrs):
def match_with_wildcards(norm_val, val_list):
if norm_val.startswith('*'):
if norm_val.endswith('*'):
for x in val_list:
if (norm_val[1:(- 1)] in x):
return True
else:
for... |
9e2115fc5dedfee6c62a25e1d46a50c38f91351dc9574abf0663ac05f730f3b0 | def _subs(value):
"Return a list of subclass strings.\n\n The strings represent the ldap objectclass plus any subclasses that\n inherit from it. Fakeldap doesn't know about the ldap object structure,\n so subclasses need to be defined manually in the dictionary below.\n\n "
subs = {'groupOfNames': [... | Return a list of subclass strings.
The strings represent the ldap objectclass plus any subclasses that
inherit from it. Fakeldap doesn't know about the ldap object structure,
so subclasses need to be defined manually in the dictionary below. | keystone/tests/unit/fakeldap.py | _subs | knikolla/keystone | 615 | python | def _subs(value):
"Return a list of subclass strings.\n\n The strings represent the ldap objectclass plus any subclasses that\n inherit from it. Fakeldap doesn't know about the ldap object structure,\n so subclasses need to be defined manually in the dictionary below.\n\n "
subs = {'groupOfNames': [... | def _subs(value):
"Return a list of subclass strings.\n\n The strings represent the ldap objectclass plus any subclasses that\n inherit from it. Fakeldap doesn't know about the ldap object structure,\n so subclasses need to be defined manually in the dictionary below.\n\n "
subs = {'groupOfNames': [... |
082fac186e27aad6993833298ac5dc5cf983e0f8f9c65735d44b78aee9976bc0 | def simple_bind_s(self, who='', cred='', serverctrls=None, clientctrls=None):
'Provide for compatibility but this method is ignored.'
if server_fail:
raise ldap.SERVER_DOWN
whos = ['cn=Admin', CONF.ldap.user]
if ((who in whos) and (cred in ['password', CONF.ldap.password])):
return
a... | Provide for compatibility but this method is ignored. | keystone/tests/unit/fakeldap.py | simple_bind_s | knikolla/keystone | 615 | python | def simple_bind_s(self, who=, cred=, serverctrls=None, clientctrls=None):
if server_fail:
raise ldap.SERVER_DOWN
whos = ['cn=Admin', CONF.ldap.user]
if ((who in whos) and (cred in ['password', CONF.ldap.password])):
return
attrs = self.db.get(self.key(who))
if (not attrs):
... | def simple_bind_s(self, who=, cred=, serverctrls=None, clientctrls=None):
if server_fail:
raise ldap.SERVER_DOWN
whos = ['cn=Admin', CONF.ldap.user]
if ((who in whos) and (cred in ['password', CONF.ldap.password])):
return
attrs = self.db.get(self.key(who))
if (not attrs):
... |
e914d7e8c4478e113775474eb4d0be176564632471798d675f3331c1eeff7543 | def unbind_s(self):
'Provide for compatibility but this method is ignored.'
if server_fail:
raise ldap.SERVER_DOWN | Provide for compatibility but this method is ignored. | keystone/tests/unit/fakeldap.py | unbind_s | knikolla/keystone | 615 | python | def unbind_s(self):
if server_fail:
raise ldap.SERVER_DOWN | def unbind_s(self):
if server_fail:
raise ldap.SERVER_DOWN<|docstring|>Provide for compatibility but this method is ignored.<|endoftext|> |
276196af5ecf09ddde0e5b281783eb7683dd7fd18fa8b944965b19155af7e157 | def add_s(self, dn, modlist):
'Add an object with the specified attributes at dn.'
if server_fail:
raise ldap.SERVER_DOWN
id_attr_in_modlist = False
id_attr = self._dn_to_id_attr(dn)
id_value = self._dn_to_id_value(dn)
for (k, dummy_v) in modlist:
if (k is None):
rais... | Add an object with the specified attributes at dn. | keystone/tests/unit/fakeldap.py | add_s | knikolla/keystone | 615 | python | def add_s(self, dn, modlist):
if server_fail:
raise ldap.SERVER_DOWN
id_attr_in_modlist = False
id_attr = self._dn_to_id_attr(dn)
id_value = self._dn_to_id_value(dn)
for (k, dummy_v) in modlist:
if (k is None):
raise TypeError(('must be string, not None. modlist=%s' ... | def add_s(self, dn, modlist):
if server_fail:
raise ldap.SERVER_DOWN
id_attr_in_modlist = False
id_attr = self._dn_to_id_attr(dn)
id_value = self._dn_to_id_value(dn)
for (k, dummy_v) in modlist:
if (k is None):
raise TypeError(('must be string, not None. modlist=%s' ... |
b5594b951eb09f5fd6e32f4f034f745e115a410406a8687e3adb0905874eca2d | def delete_s(self, dn):
'Remove the ldap object at specified dn.'
return self.delete_ext_s(dn, serverctrls=[]) | Remove the ldap object at specified dn. | keystone/tests/unit/fakeldap.py | delete_s | knikolla/keystone | 615 | python | def delete_s(self, dn):
return self.delete_ext_s(dn, serverctrls=[]) | def delete_s(self, dn):
return self.delete_ext_s(dn, serverctrls=[])<|docstring|>Remove the ldap object at specified dn.<|endoftext|> |
b790a9c567ca29f2aea3ccfa570d7a65a102f6bc7a18de863d89ff19ee041534 | def delete_ext_s(self, dn, serverctrls, clientctrls=None):
'Remove the ldap object at specified dn.'
if server_fail:
raise ldap.SERVER_DOWN
try:
key = self.key(dn)
LOG.debug('FakeLdap delete item: dn=%s', dn)
del self.db[key]
except KeyError:
LOG.debug('delete ite... | Remove the ldap object at specified dn. | keystone/tests/unit/fakeldap.py | delete_ext_s | knikolla/keystone | 615 | python | def delete_ext_s(self, dn, serverctrls, clientctrls=None):
if server_fail:
raise ldap.SERVER_DOWN
try:
key = self.key(dn)
LOG.debug('FakeLdap delete item: dn=%s', dn)
del self.db[key]
except KeyError:
LOG.debug('delete item failed: dn=%s not found.', dn)
... | def delete_ext_s(self, dn, serverctrls, clientctrls=None):
if server_fail:
raise ldap.SERVER_DOWN
try:
key = self.key(dn)
LOG.debug('FakeLdap delete item: dn=%s', dn)
del self.db[key]
except KeyError:
LOG.debug('delete item failed: dn=%s not found.', dn)
... |
87d725372210094cae69c4775b9a7a0afb6d80754a9481bc8e20109e29b25eea | def modify_s(self, dn, modlist):
'Modify the object at dn using the attribute list.\n\n :param dn: an LDAP DN\n :param modlist: a list of tuples in the following form:\n ([MOD_ADD | MOD_DELETE | MOD_REPACE], attribute, value)\n '
if server_fail:
raise ldap.SERVE... | Modify the object at dn using the attribute list.
:param dn: an LDAP DN
:param modlist: a list of tuples in the following form:
([MOD_ADD | MOD_DELETE | MOD_REPACE], attribute, value) | keystone/tests/unit/fakeldap.py | modify_s | knikolla/keystone | 615 | python | def modify_s(self, dn, modlist):
'Modify the object at dn using the attribute list.\n\n :param dn: an LDAP DN\n :param modlist: a list of tuples in the following form:\n ([MOD_ADD | MOD_DELETE | MOD_REPACE], attribute, value)\n '
if server_fail:
raise ldap.SERVE... | def modify_s(self, dn, modlist):
'Modify the object at dn using the attribute list.\n\n :param dn: an LDAP DN\n :param modlist: a list of tuples in the following form:\n ([MOD_ADD | MOD_DELETE | MOD_REPACE], attribute, value)\n '
if server_fail:
raise ldap.SERVE... |
e3475d63f984d5dee66874e6bf72b261ac39e86db5482e181b152e00c9ee539c | def search_s(self, base, scope, filterstr='(objectClass=*)', attrlist=None, attrsonly=0):
'Search for all matching objects under base using the query.\n\n Args:\n base -- dn to search under\n scope -- search scope (base, subtree, onelevel)\n filterstr -- filter objects by\n attrli... | Search for all matching objects under base using the query.
Args:
base -- dn to search under
scope -- search scope (base, subtree, onelevel)
filterstr -- filter objects by
attrlist -- attrs to return. Returns all attrs if not specified | keystone/tests/unit/fakeldap.py | search_s | knikolla/keystone | 615 | python | def search_s(self, base, scope, filterstr='(objectClass=*)', attrlist=None, attrsonly=0):
'Search for all matching objects under base using the query.\n\n Args:\n base -- dn to search under\n scope -- search scope (base, subtree, onelevel)\n filterstr -- filter objects by\n attrli... | def search_s(self, base, scope, filterstr='(objectClass=*)', attrlist=None, attrsonly=0):
'Search for all matching objects under base using the query.\n\n Args:\n base -- dn to search under\n scope -- search scope (base, subtree, onelevel)\n filterstr -- filter objects by\n attrli... |
29de18e041d67b59ed05209281d87ca9010fe5b5279770a316e1614b933853c5 | def result3(self, msgid=ldap.RES_ANY, all=1, timeout=None, resp_ctrl_classes=None):
'Execute async request.\n\n Only msgid param is supported. Request info is fetched from global\n variable `PendingRequests` by msgid, executed using search_s and\n limited if requested.\n '
if ((all !... | Execute async request.
Only msgid param is supported. Request info is fetched from global
variable `PendingRequests` by msgid, executed using search_s and
limited if requested. | keystone/tests/unit/fakeldap.py | result3 | knikolla/keystone | 615 | python | def result3(self, msgid=ldap.RES_ANY, all=1, timeout=None, resp_ctrl_classes=None):
'Execute async request.\n\n Only msgid param is supported. Request info is fetched from global\n variable `PendingRequests` by msgid, executed using search_s and\n limited if requested.\n '
if ((all !... | def result3(self, msgid=ldap.RES_ANY, all=1, timeout=None, resp_ctrl_classes=None):
'Execute async request.\n\n Only msgid param is supported. Request info is fetched from global\n variable `PendingRequests` by msgid, executed using search_s and\n limited if requested.\n '
if ((all !... |
001ee0d8d503b4a07b747e04f3a75cdfe9a59fd6fea5821c72f7ebe99e1d7b0f | def unbind_ext_s(self):
'Added to extend FakeLdap as connector class.'
pass | Added to extend FakeLdap as connector class. | keystone/tests/unit/fakeldap.py | unbind_ext_s | knikolla/keystone | 615 | python | def unbind_ext_s(self):
pass | def unbind_ext_s(self):
pass<|docstring|>Added to extend FakeLdap as connector class.<|endoftext|> |
d973f384ff5e96b64056b94af40fdfc78c1d20632f7e5bcc06800445afada701 | def delete_ext_s(self, dn, serverctrls, clientctrls=None):
'Remove the ldap object at specified dn.'
if server_fail:
raise ldap.SERVER_DOWN
try:
children = self._getChildren(dn)
if children:
raise ldap.NOT_ALLOWED_ON_NONLEAF
except KeyError:
LOG.debug('delete ... | Remove the ldap object at specified dn. | keystone/tests/unit/fakeldap.py | delete_ext_s | knikolla/keystone | 615 | python | def delete_ext_s(self, dn, serverctrls, clientctrls=None):
if server_fail:
raise ldap.SERVER_DOWN
try:
children = self._getChildren(dn)
if children:
raise ldap.NOT_ALLOWED_ON_NONLEAF
except KeyError:
LOG.debug('delete item failed: dn=%s not found.', dn)
... | def delete_ext_s(self, dn, serverctrls, clientctrls=None):
if server_fail:
raise ldap.SERVER_DOWN
try:
children = self._getChildren(dn)
if children:
raise ldap.NOT_ALLOWED_ON_NONLEAF
except KeyError:
LOG.debug('delete item failed: dn=%s not found.', dn)
... |
b94c8ab9a7b63f87f37dfe0c85d28acb2c2904eb13a98ad15d02079d96fbe10c | @fill_doc
def fetch_atlas_difumo(dimension=64, resolution_mm=2, data_dir=None, resume=True, verbose=1):
"Fetch DiFuMo brain atlas\n\n Dictionaries of Functional Modes, or “DiFuMo”, can serve as atlases to extract\n functional signals with different dimensionalities (64, 128, 256, 512, and 1024).\n These mo... | Fetch DiFuMo brain atlas
Dictionaries of Functional Modes, or “DiFuMo”, can serve as atlases to extract
functional signals with different dimensionalities (64, 128, 256, 512, and 1024).
These modes are optimized to represent well raw BOLD timeseries,
over a with range of experimental conditions.
See :footcite:`DADI202... | nilearn/datasets/atlas.py | fetch_atlas_difumo | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_difumo(dimension=64, resolution_mm=2, data_dir=None, resume=True, verbose=1):
"Fetch DiFuMo brain atlas\n\n Dictionaries of Functional Modes, or “DiFuMo”, can serve as atlases to extract\n functional signals with different dimensionalities (64, 128, 256, 512, and 1024).\n These mo... | @fill_doc
def fetch_atlas_difumo(dimension=64, resolution_mm=2, data_dir=None, resume=True, verbose=1):
"Fetch DiFuMo brain atlas\n\n Dictionaries of Functional Modes, or “DiFuMo”, can serve as atlases to extract\n functional signals with different dimensionalities (64, 128, 256, 512, and 1024).\n These mo... |
31a3e66515d0f75c7d01d9359c0a811861f8b348ffe15e3da424d22b1cc8b12c | @fill_doc
def fetch_atlas_craddock_2012(data_dir=None, url=None, resume=True, verbose=1):
'Download and return file names for the Craddock 2012 parcellation\n\n The provided images are in MNI152 space.\n\n See :footcite:`CreativeCommons` for the licence.\n\n See :footcite:`craddock2012whole` and :footcite:... | Download and return file names for the Craddock 2012 parcellation
The provided images are in MNI152 space.
See :footcite:`CreativeCommons` for the licence.
See :footcite:`craddock2012whole` and :footcite:`nitrcClusterROI`
for more information on this parcellation.
Parameters
----------
%(data_dir)s
%(url)s
%(resume... | nilearn/datasets/atlas.py | fetch_atlas_craddock_2012 | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_craddock_2012(data_dir=None, url=None, resume=True, verbose=1):
'Download and return file names for the Craddock 2012 parcellation\n\n The provided images are in MNI152 space.\n\n See :footcite:`CreativeCommons` for the licence.\n\n See :footcite:`craddock2012whole` and :footcite:... | @fill_doc
def fetch_atlas_craddock_2012(data_dir=None, url=None, resume=True, verbose=1):
'Download and return file names for the Craddock 2012 parcellation\n\n The provided images are in MNI152 space.\n\n See :footcite:`CreativeCommons` for the licence.\n\n See :footcite:`craddock2012whole` and :footcite:... |
66ce3b008a8454f87820ab5d66c12c94dd3c8451dfb57fb4bce2f05fa3b70a5c | @fill_doc
def fetch_atlas_destrieux_2009(lateralized=True, data_dir=None, url=None, resume=True, verbose=1):
'Download and load the Destrieux cortical atlas (dated 2009)\n\n see :footcite:`Fischl2004Automatically`,\n and :footcite:`Destrieux2009sulcal`.\n\n Parameters\n ----------\n lateralized : boo... | Download and load the Destrieux cortical atlas (dated 2009)
see :footcite:`Fischl2004Automatically`,
and :footcite:`Destrieux2009sulcal`.
Parameters
----------
lateralized : boolean, optional
If True, returns an atlas with distinct regions for right and left
hemispheres. Default=True.
%(data_dir)s
%(url)s
%(r... | nilearn/datasets/atlas.py | fetch_atlas_destrieux_2009 | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_destrieux_2009(lateralized=True, data_dir=None, url=None, resume=True, verbose=1):
'Download and load the Destrieux cortical atlas (dated 2009)\n\n see :footcite:`Fischl2004Automatically`,\n and :footcite:`Destrieux2009sulcal`.\n\n Parameters\n ----------\n lateralized : boo... | @fill_doc
def fetch_atlas_destrieux_2009(lateralized=True, data_dir=None, url=None, resume=True, verbose=1):
'Download and load the Destrieux cortical atlas (dated 2009)\n\n see :footcite:`Fischl2004Automatically`,\n and :footcite:`Destrieux2009sulcal`.\n\n Parameters\n ----------\n lateralized : boo... |
2efbfa03423e28826cf3085f8ece7c148a69ddbc17ca26788005848d1bcce979 | @fill_doc
def fetch_atlas_harvard_oxford(atlas_name, data_dir=None, symmetric_split=False, resume=True, verbose=1):
'Load Harvard-Oxford parcellations from FSL.\n\n This function downloads Harvard Oxford atlas packaged from FSL 5.0\n and stores atlases in NILEARN_DATA folder in home directory.\n\n This fun... | Load Harvard-Oxford parcellations from FSL.
This function downloads Harvard Oxford atlas packaged from FSL 5.0
and stores atlases in NILEARN_DATA folder in home directory.
This function can also load Harvard Oxford atlas from your local directory
specified by your FSL installed path given in `data_dir` argument.
See ... | nilearn/datasets/atlas.py | fetch_atlas_harvard_oxford | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_harvard_oxford(atlas_name, data_dir=None, symmetric_split=False, resume=True, verbose=1):
'Load Harvard-Oxford parcellations from FSL.\n\n This function downloads Harvard Oxford atlas packaged from FSL 5.0\n and stores atlases in NILEARN_DATA folder in home directory.\n\n This fun... | @fill_doc
def fetch_atlas_harvard_oxford(atlas_name, data_dir=None, symmetric_split=False, resume=True, verbose=1):
'Load Harvard-Oxford parcellations from FSL.\n\n This function downloads Harvard Oxford atlas packaged from FSL 5.0\n and stores atlases in NILEARN_DATA folder in home directory.\n\n This fun... |
09b824a85018999f27dcdc57acd1ec384579ab40d38b8872a4659569402b080e | def fetch_atlas_juelich(atlas_name, data_dir=None, symmetric_split=False, resume=True, verbose=1):
'Load Juelich parcellations from FSL.\n\n This function downloads Juelich atlas packaged from FSL 5.0\n and stores atlases in NILEARN_DATA folder in home directory.\n\n This function can also load Juelich atl... | Load Juelich parcellations from FSL.
This function downloads Juelich atlas packaged from FSL 5.0
and stores atlases in NILEARN_DATA folder in home directory.
This function can also load Juelich atlas from your local directory
specified by your FSL installed path given in `data_dir` argument.
See documentation for det... | nilearn/datasets/atlas.py | fetch_atlas_juelich | lemiceterieux/nilearn | 827 | python | def fetch_atlas_juelich(atlas_name, data_dir=None, symmetric_split=False, resume=True, verbose=1):
'Load Juelich parcellations from FSL.\n\n This function downloads Juelich atlas packaged from FSL 5.0\n and stores atlases in NILEARN_DATA folder in home directory.\n\n This function can also load Juelich atl... | def fetch_atlas_juelich(atlas_name, data_dir=None, symmetric_split=False, resume=True, verbose=1):
'Load Juelich parcellations from FSL.\n\n This function downloads Juelich atlas packaged from FSL 5.0\n and stores atlases in NILEARN_DATA folder in home directory.\n\n This function can also load Juelich atl... |
43a82baeb9d1a80cb7a2d1a8720eee0797d87d008b9d3c7e5a109c2f725069b0 | def _get_atlas_data_and_labels(atlas_source, atlas_name, symmetric_split=False, data_dir=None, resume=True, verbose=1):
'Helper function for both fetch_atlas_juelich and fetch_atlas_harvard_oxford.\n This function downloads the atlas image and labels.\n '
if (atlas_source == 'Juelich'):
url = 'htt... | Helper function for both fetch_atlas_juelich and fetch_atlas_harvard_oxford.
This function downloads the atlas image and labels. | nilearn/datasets/atlas.py | _get_atlas_data_and_labels | lemiceterieux/nilearn | 827 | python | def _get_atlas_data_and_labels(atlas_source, atlas_name, symmetric_split=False, data_dir=None, resume=True, verbose=1):
'Helper function for both fetch_atlas_juelich and fetch_atlas_harvard_oxford.\n This function downloads the atlas image and labels.\n '
if (atlas_source == 'Juelich'):
url = 'htt... | def _get_atlas_data_and_labels(atlas_source, atlas_name, symmetric_split=False, data_dir=None, resume=True, verbose=1):
'Helper function for both fetch_atlas_juelich and fetch_atlas_harvard_oxford.\n This function downloads the atlas image and labels.\n '
if (atlas_source == 'Juelich'):
url = 'htt... |
08aadcea0496acfa92dc6fe56bbc7501a689378da5fa7d259bdfd07331f3600b | def _merge_probabilistic_maps_juelich(atlas_data, names):
'Helper function for fetch_atlas_juelich.\n This function handles probabilistic juelich atlases\n when symmetric_split=False. In this situation, we need\n to merge labels and maps corresponding to left and right\n regions.\n '
new_names = ... | Helper function for fetch_atlas_juelich.
This function handles probabilistic juelich atlases
when symmetric_split=False. In this situation, we need
to merge labels and maps corresponding to left and right
regions. | nilearn/datasets/atlas.py | _merge_probabilistic_maps_juelich | lemiceterieux/nilearn | 827 | python | def _merge_probabilistic_maps_juelich(atlas_data, names):
'Helper function for fetch_atlas_juelich.\n This function handles probabilistic juelich atlases\n when symmetric_split=False. In this situation, we need\n to merge labels and maps corresponding to left and right\n regions.\n '
new_names = ... | def _merge_probabilistic_maps_juelich(atlas_data, names):
'Helper function for fetch_atlas_juelich.\n This function handles probabilistic juelich atlases\n when symmetric_split=False. In this situation, we need\n to merge labels and maps corresponding to left and right\n regions.\n '
new_names = ... |
b8bb027eec29da56d64f270a34cab6f3242690a5db4c02cad7be0c8b61e4aa36 | def _merge_labels_juelich(atlas_data, names):
'Helper function for fetch_atlas_juelich.\n This function handles 3D atlases when symmetric_split=False.\n In this case, we need to merge the labels corresponding to\n left and right regions.\n '
new_names = np.unique([re.sub(' (L|R)$', '', name) for nam... | Helper function for fetch_atlas_juelich.
This function handles 3D atlases when symmetric_split=False.
In this case, we need to merge the labels corresponding to
left and right regions. | nilearn/datasets/atlas.py | _merge_labels_juelich | lemiceterieux/nilearn | 827 | python | def _merge_labels_juelich(atlas_data, names):
'Helper function for fetch_atlas_juelich.\n This function handles 3D atlases when symmetric_split=False.\n In this case, we need to merge the labels corresponding to\n left and right regions.\n '
new_names = np.unique([re.sub(' (L|R)$', , name) for name ... | def _merge_labels_juelich(atlas_data, names):
'Helper function for fetch_atlas_juelich.\n This function handles 3D atlases when symmetric_split=False.\n In this case, we need to merge the labels corresponding to\n left and right regions.\n '
new_names = np.unique([re.sub(' (L|R)$', , name) for name ... |
168ee3e9c7e9aa73b5d6269da8ffb6e824f24f7364da21b7d15c6d56de49e27b | def _compute_symmetric_split(source, atlas_niimg, names):
'Helper function for both fetch_atlas_juelich and\n fetch_atlas_harvard_oxford.\n This function handles 3D atlases when symmetric_split=True.\n '
assert (atlas_niimg.affine[(0, 0)] > 0)
atlas_data = get_data(atlas_niimg)
labels = np.uniq... | Helper function for both fetch_atlas_juelich and
fetch_atlas_harvard_oxford.
This function handles 3D atlases when symmetric_split=True. | nilearn/datasets/atlas.py | _compute_symmetric_split | lemiceterieux/nilearn | 827 | python | def _compute_symmetric_split(source, atlas_niimg, names):
'Helper function for both fetch_atlas_juelich and\n fetch_atlas_harvard_oxford.\n This function handles 3D atlases when symmetric_split=True.\n '
assert (atlas_niimg.affine[(0, 0)] > 0)
atlas_data = get_data(atlas_niimg)
labels = np.uniq... | def _compute_symmetric_split(source, atlas_niimg, names):
'Helper function for both fetch_atlas_juelich and\n fetch_atlas_harvard_oxford.\n This function handles 3D atlases when symmetric_split=True.\n '
assert (atlas_niimg.affine[(0, 0)] > 0)
atlas_data = get_data(atlas_niimg)
labels = np.uniq... |
7a7f41886ebc886e50f0a442fb7e00d2c6360ae2dc29874f2cb4b6e8428c1507 | @fill_doc
def fetch_atlas_msdl(data_dir=None, url=None, resume=True, verbose=1):
"Download and load the MSDL brain atlas.\n\n It can be downloaded at :footcite:`atlas_msdl`, and cited\n using :footcite:`Varoquaux2011multisubject`.\n See also :footcite:`VAROQUAUX2013405` for more information.\n\n Paramet... | Download and load the MSDL brain atlas.
It can be downloaded at :footcite:`atlas_msdl`, and cited
using :footcite:`Varoquaux2011multisubject`.
See also :footcite:`VAROQUAUX2013405` for more information.
Parameters
----------
%(data_dir)s
%(url)s
%(resume)s
%(verbose)s
Returns
-------
data : sklearn.datasets.base.Bun... | nilearn/datasets/atlas.py | fetch_atlas_msdl | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_msdl(data_dir=None, url=None, resume=True, verbose=1):
"Download and load the MSDL brain atlas.\n\n It can be downloaded at :footcite:`atlas_msdl`, and cited\n using :footcite:`Varoquaux2011multisubject`.\n See also :footcite:`VAROQUAUX2013405` for more information.\n\n Paramet... | @fill_doc
def fetch_atlas_msdl(data_dir=None, url=None, resume=True, verbose=1):
"Download and load the MSDL brain atlas.\n\n It can be downloaded at :footcite:`atlas_msdl`, and cited\n using :footcite:`Varoquaux2011multisubject`.\n See also :footcite:`VAROQUAUX2013405` for more information.\n\n Paramet... |
355453728e152ac614a3ebe124708e405d3dbb6abd74e758abf067fc9db02ad2 | def fetch_coords_power_2011():
'Download and load the Power et al. brain atlas composed of 264 ROIs\n\n See :footcite:`Power2011Functional`.\n\n Returns\n -------\n data : sklearn.datasets.base.Bunch\n Dictionary-like object, contains:\n - "rois": coordinates of 264 ROIs in MNI space\n\n\n... | Download and load the Power et al. brain atlas composed of 264 ROIs
See :footcite:`Power2011Functional`.
Returns
-------
data : sklearn.datasets.base.Bunch
Dictionary-like object, contains:
- "rois": coordinates of 264 ROIs in MNI space
References
----------
.. footbibliography:: | nilearn/datasets/atlas.py | fetch_coords_power_2011 | lemiceterieux/nilearn | 827 | python | def fetch_coords_power_2011():
'Download and load the Power et al. brain atlas composed of 264 ROIs\n\n See :footcite:`Power2011Functional`.\n\n Returns\n -------\n data : sklearn.datasets.base.Bunch\n Dictionary-like object, contains:\n - "rois": coordinates of 264 ROIs in MNI space\n\n\n... | def fetch_coords_power_2011():
'Download and load the Power et al. brain atlas composed of 264 ROIs\n\n See :footcite:`Power2011Functional`.\n\n Returns\n -------\n data : sklearn.datasets.base.Bunch\n Dictionary-like object, contains:\n - "rois": coordinates of 264 ROIs in MNI space\n\n\n... |
7508b4b4a22cfd3d72b8a9a2209621e092e9206df4fd1ee4e049f1e94e1e10f5 | @fill_doc
def fetch_atlas_smith_2009(data_dir=None, mirror='origin', url=None, resume=True, verbose=1):
'Download and load the Smith ICA and BrainMap atlas (dated 2009).\n\n See :footcite:`Smith200913040` and :footcite:`Laird2011behavioral`.\n\n Parameters\n ----------\n %(data_dir)s\n mirror : strin... | Download and load the Smith ICA and BrainMap atlas (dated 2009).
See :footcite:`Smith200913040` and :footcite:`Laird2011behavioral`.
Parameters
----------
%(data_dir)s
mirror : string, optional
By default, the dataset is downloaded from the original website of the
atlas. Specifying "nitrc" will force download... | nilearn/datasets/atlas.py | fetch_atlas_smith_2009 | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_smith_2009(data_dir=None, mirror='origin', url=None, resume=True, verbose=1):
'Download and load the Smith ICA and BrainMap atlas (dated 2009).\n\n See :footcite:`Smith200913040` and :footcite:`Laird2011behavioral`.\n\n Parameters\n ----------\n %(data_dir)s\n mirror : strin... | @fill_doc
def fetch_atlas_smith_2009(data_dir=None, mirror='origin', url=None, resume=True, verbose=1):
'Download and load the Smith ICA and BrainMap atlas (dated 2009).\n\n See :footcite:`Smith200913040` and :footcite:`Laird2011behavioral`.\n\n Parameters\n ----------\n %(data_dir)s\n mirror : strin... |
99b1697915a249f7f1d52cfe9b992bd3f71a56a24579d4fa3a98cf7cc261a58e | @fill_doc
def fetch_atlas_yeo_2011(data_dir=None, url=None, resume=True, verbose=1):
'Download and return file names for the Yeo 2011 parcellation.\n\n The provided images are in MNI152 space.\n\n For more information on this dataset\'s structure,\n see :footcite:`CorticalParcellation_Yeo2011`,\n and :f... | Download and return file names for the Yeo 2011 parcellation.
The provided images are in MNI152 space.
For more information on this dataset's structure,
see :footcite:`CorticalParcellation_Yeo2011`,
and :footcite:`Yeo2011organization`.
Parameters
----------
%(data_dir)s
%(url)s
%(resume)s
%(verbose)s
Returns
------... | nilearn/datasets/atlas.py | fetch_atlas_yeo_2011 | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_yeo_2011(data_dir=None, url=None, resume=True, verbose=1):
'Download and return file names for the Yeo 2011 parcellation.\n\n The provided images are in MNI152 space.\n\n For more information on this dataset\'s structure,\n see :footcite:`CorticalParcellation_Yeo2011`,\n and :f... | @fill_doc
def fetch_atlas_yeo_2011(data_dir=None, url=None, resume=True, verbose=1):
'Download and return file names for the Yeo 2011 parcellation.\n\n The provided images are in MNI152 space.\n\n For more information on this dataset\'s structure,\n see :footcite:`CorticalParcellation_Yeo2011`,\n and :f... |
f59e50cff7d43ef1b9d26d9c905c9a0de2881747ab9a46a5b06c106f3be3b905 | @fill_doc
def fetch_atlas_aal(version='SPM12', data_dir=None, url=None, resume=True, verbose=1):
'Downloads and returns the AAL template for SPM 12.\n\n This atlas is the result of an automated anatomical parcellation of the\n spatially normalized single-subject high-resolution T1 volume provided by\n the ... | Downloads and returns the AAL template for SPM 12.
This atlas is the result of an automated anatomical parcellation of the
spatially normalized single-subject high-resolution T1 volume provided by
the Montreal Neurological Institute (MNI) (D. L. Collins et al., 1998,
Trans. Med. Imag. 17, 463-468, PubMed).
For more i... | nilearn/datasets/atlas.py | fetch_atlas_aal | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_aal(version='SPM12', data_dir=None, url=None, resume=True, verbose=1):
'Downloads and returns the AAL template for SPM 12.\n\n This atlas is the result of an automated anatomical parcellation of the\n spatially normalized single-subject high-resolution T1 volume provided by\n the ... | @fill_doc
def fetch_atlas_aal(version='SPM12', data_dir=None, url=None, resume=True, verbose=1):
'Downloads and returns the AAL template for SPM 12.\n\n This atlas is the result of an automated anatomical parcellation of the\n spatially normalized single-subject high-resolution T1 volume provided by\n the ... |
5de00f68135cafd60541d76a30308c0c29b11ee1cf85e479afbde181fcfd6741 | @fill_doc
def fetch_atlas_basc_multiscale_2015(version='sym', data_dir=None, url=None, resume=True, verbose=1):
'Downloads and loads multiscale functional brain parcellations\n\n This atlas includes group brain parcellations generated from\n resting-state functional magnetic resonance images from about\n 2... | Downloads and loads multiscale functional brain parcellations
This atlas includes group brain parcellations generated from
resting-state functional magnetic resonance images from about
200 young healthy subjects.
Multiple scales (number of networks) are available, among
7, 12, 20, 36, 64, 122, 197, 325, 444. The brai... | nilearn/datasets/atlas.py | fetch_atlas_basc_multiscale_2015 | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_basc_multiscale_2015(version='sym', data_dir=None, url=None, resume=True, verbose=1):
'Downloads and loads multiscale functional brain parcellations\n\n This atlas includes group brain parcellations generated from\n resting-state functional magnetic resonance images from about\n 2... | @fill_doc
def fetch_atlas_basc_multiscale_2015(version='sym', data_dir=None, url=None, resume=True, verbose=1):
'Downloads and loads multiscale functional brain parcellations\n\n This atlas includes group brain parcellations generated from\n resting-state functional magnetic resonance images from about\n 2... |
0f2ec23f8b881fd2246c4bda7b4fce133938d15606d5e4db56123d7b1069cda3 | def fetch_coords_dosenbach_2010(ordered_regions=True):
'Load the Dosenbach et al. 160 ROIs. These ROIs cover\n much of the cerebral cortex and cerebellum and are assigned to 6\n networks.\n\n See :footcite:`Dosenbach20101358`.\n\n Parameters\n ----------\n ordered_regions : bool, optional\n ... | Load the Dosenbach et al. 160 ROIs. These ROIs cover
much of the cerebral cortex and cerebellum and are assigned to 6
networks.
See :footcite:`Dosenbach20101358`.
Parameters
----------
ordered_regions : bool, optional
ROIs from same networks are grouped together and ordered with respect
to their names and the... | nilearn/datasets/atlas.py | fetch_coords_dosenbach_2010 | lemiceterieux/nilearn | 827 | python | def fetch_coords_dosenbach_2010(ordered_regions=True):
'Load the Dosenbach et al. 160 ROIs. These ROIs cover\n much of the cerebral cortex and cerebellum and are assigned to 6\n networks.\n\n See :footcite:`Dosenbach20101358`.\n\n Parameters\n ----------\n ordered_regions : bool, optional\n ... | def fetch_coords_dosenbach_2010(ordered_regions=True):
'Load the Dosenbach et al. 160 ROIs. These ROIs cover\n much of the cerebral cortex and cerebellum and are assigned to 6\n networks.\n\n See :footcite:`Dosenbach20101358`.\n\n Parameters\n ----------\n ordered_regions : bool, optional\n ... |
f0473783fe21f4c1ad8005129acdf7df688051df1ea43ecee1cf1b21f9124baf | def fetch_coords_seitzman_2018(ordered_regions=True):
'Load the Seitzman et al. 300 ROIs. These ROIs cover cortical,\n subcortical and cerebellar regions and are assigned to one of 13\n networks (Auditory, CinguloOpercular, DefaultMode, DorsalAttention,\n FrontoParietal, MedialTemporalLobe, ParietoMedial, ... | Load the Seitzman et al. 300 ROIs. These ROIs cover cortical,
subcortical and cerebellar regions and are assigned to one of 13
networks (Auditory, CinguloOpercular, DefaultMode, DorsalAttention,
FrontoParietal, MedialTemporalLobe, ParietoMedial, Reward, Salience,
SomatomotorDorsal, SomatomotorLateral, VentralAttention,... | nilearn/datasets/atlas.py | fetch_coords_seitzman_2018 | lemiceterieux/nilearn | 827 | python | def fetch_coords_seitzman_2018(ordered_regions=True):
'Load the Seitzman et al. 300 ROIs. These ROIs cover cortical,\n subcortical and cerebellar regions and are assigned to one of 13\n networks (Auditory, CinguloOpercular, DefaultMode, DorsalAttention,\n FrontoParietal, MedialTemporalLobe, ParietoMedial, ... | def fetch_coords_seitzman_2018(ordered_regions=True):
'Load the Seitzman et al. 300 ROIs. These ROIs cover cortical,\n subcortical and cerebellar regions and are assigned to one of 13\n networks (Auditory, CinguloOpercular, DefaultMode, DorsalAttention,\n FrontoParietal, MedialTemporalLobe, ParietoMedial, ... |
f2186b3112fc21fac613bbcb01d4a3025800a649cdbbb656638f36bf3ef8bb29 | @fill_doc
def fetch_atlas_allen_2011(data_dir=None, url=None, resume=True, verbose=1):
'Download and return file names for the Allen and MIALAB ICA atlas\n (dated 2011).\n\n See :footcite:`Allen2011baseline`.\n\n The provided images are in MNI152 space.\n\n Parameters\n ----------\n %(data_dir)s\n... | Download and return file names for the Allen and MIALAB ICA atlas
(dated 2011).
See :footcite:`Allen2011baseline`.
The provided images are in MNI152 space.
Parameters
----------
%(data_dir)s
%(url)s
%(resume)s
%(verbose)s
Returns
-------
data : sklearn.datasets.base.Bunch
Dictionary-like object, keys are:
... | nilearn/datasets/atlas.py | fetch_atlas_allen_2011 | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_allen_2011(data_dir=None, url=None, resume=True, verbose=1):
'Download and return file names for the Allen and MIALAB ICA atlas\n (dated 2011).\n\n See :footcite:`Allen2011baseline`.\n\n The provided images are in MNI152 space.\n\n Parameters\n ----------\n %(data_dir)s\n... | @fill_doc
def fetch_atlas_allen_2011(data_dir=None, url=None, resume=True, verbose=1):
'Download and return file names for the Allen and MIALAB ICA atlas\n (dated 2011).\n\n See :footcite:`Allen2011baseline`.\n\n The provided images are in MNI152 space.\n\n Parameters\n ----------\n %(data_dir)s\n... |
a136a23bc4919b98d7fa94ca5df01a3df1761d87c766867b8c728542f5ea9983 | @fill_doc
def fetch_atlas_surf_destrieux(data_dir=None, url=None, resume=True, verbose=1):
'Download and load Destrieux et al, 2010 cortical atlas\n\n See :footcite:`DESTRIEUX20101`.\n\n This atlas returns 76 labels per hemisphere based on sulco-gryal patterns\n as distributed with Freesurfer in fsaverage5... | Download and load Destrieux et al, 2010 cortical atlas
See :footcite:`DESTRIEUX20101`.
This atlas returns 76 labels per hemisphere based on sulco-gryal patterns
as distributed with Freesurfer in fsaverage5 surface space.
.. versionadded:: 0.3
Parameters
----------
%(data_dir)s
%(url)s
%(resume)s
%(verbose)s
Return... | nilearn/datasets/atlas.py | fetch_atlas_surf_destrieux | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_surf_destrieux(data_dir=None, url=None, resume=True, verbose=1):
'Download and load Destrieux et al, 2010 cortical atlas\n\n See :footcite:`DESTRIEUX20101`.\n\n This atlas returns 76 labels per hemisphere based on sulco-gryal patterns\n as distributed with Freesurfer in fsaverage5... | @fill_doc
def fetch_atlas_surf_destrieux(data_dir=None, url=None, resume=True, verbose=1):
'Download and load Destrieux et al, 2010 cortical atlas\n\n See :footcite:`DESTRIEUX20101`.\n\n This atlas returns 76 labels per hemisphere based on sulco-gryal patterns\n as distributed with Freesurfer in fsaverage5... |
ca0385ec311ee7449242ea85f26d181812baa4592b9b34fe28261c52dee88d3e | def _separate_talairach_levels(atlas_img, labels, verbose=1):
"Separate the multiple annotation levels in talairach raw atlas.\n\n The Talairach atlas has five levels of annotation: hemisphere, lobe, gyrus,\n tissue, brodmann area. They are mixed up in the original atlas: each label\n in the atlas correspo... | Separate the multiple annotation levels in talairach raw atlas.
The Talairach atlas has five levels of annotation: hemisphere, lobe, gyrus,
tissue, brodmann area. They are mixed up in the original atlas: each label
in the atlas corresponds to a 5-tuple containing, for each of these levels,
a value or the string '*' (m... | nilearn/datasets/atlas.py | _separate_talairach_levels | lemiceterieux/nilearn | 827 | python | def _separate_talairach_levels(atlas_img, labels, verbose=1):
"Separate the multiple annotation levels in talairach raw atlas.\n\n The Talairach atlas has five levels of annotation: hemisphere, lobe, gyrus,\n tissue, brodmann area. They are mixed up in the original atlas: each label\n in the atlas correspo... | def _separate_talairach_levels(atlas_img, labels, verbose=1):
"Separate the multiple annotation levels in talairach raw atlas.\n\n The Talairach atlas has five levels of annotation: hemisphere, lobe, gyrus,\n tissue, brodmann area. They are mixed up in the original atlas: each label\n in the atlas correspo... |
801ad79ec8bfc7e3e95817c12d4c34d2828917502a062ff0b7aefe7f5abf79ab | def _get_talairach_all_levels(data_dir=None, verbose=1):
"Get the path to Talairach atlas and labels\n\n The atlas is downloaded and the files are created if necessary.\n\n The image contains all five levels of the atlas, each encoded on 8 bits\n (least significant octet contains the hemisphere, the next o... | Get the path to Talairach atlas and labels
The atlas is downloaded and the files are created if necessary.
The image contains all five levels of the atlas, each encoded on 8 bits
(least significant octet contains the hemisphere, the next one the lobe,
then gyrus, tissue, and ba).
The labels json file contains
[['lev... | nilearn/datasets/atlas.py | _get_talairach_all_levels | lemiceterieux/nilearn | 827 | python | def _get_talairach_all_levels(data_dir=None, verbose=1):
"Get the path to Talairach atlas and labels\n\n The atlas is downloaded and the files are created if necessary.\n\n The image contains all five levels of the atlas, each encoded on 8 bits\n (least significant octet contains the hemisphere, the next o... | def _get_talairach_all_levels(data_dir=None, verbose=1):
"Get the path to Talairach atlas and labels\n\n The atlas is downloaded and the files are created if necessary.\n\n The image contains all five levels of the atlas, each encoded on 8 bits\n (least significant octet contains the hemisphere, the next o... |
4745d62f85f876f53706e3dc9720d7054dc39c7b71edf2c53b818df8c4909d2e | @fill_doc
def fetch_atlas_talairach(level_name, data_dir=None, verbose=1):
"Download the Talairach atlas.\n\n For more information, see :footcite:`talairach_atlas`,\n :footcite:`Lancaster2000Talairach`,\n and :footcite:`Lancaster1997labeling`.\n\n .. versionadded:: 0.4.0\n\n Parameters\n ---------... | Download the Talairach atlas.
For more information, see :footcite:`talairach_atlas`,
:footcite:`Lancaster2000Talairach`,
and :footcite:`Lancaster1997labeling`.
.. versionadded:: 0.4.0
Parameters
----------
level_name : string {'hemisphere', 'lobe', 'gyrus', 'tissue', 'ba'}
Which level of the atlas to use: the he... | nilearn/datasets/atlas.py | fetch_atlas_talairach | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_talairach(level_name, data_dir=None, verbose=1):
"Download the Talairach atlas.\n\n For more information, see :footcite:`talairach_atlas`,\n :footcite:`Lancaster2000Talairach`,\n and :footcite:`Lancaster1997labeling`.\n\n .. versionadded:: 0.4.0\n\n Parameters\n ---------... | @fill_doc
def fetch_atlas_talairach(level_name, data_dir=None, verbose=1):
"Download the Talairach atlas.\n\n For more information, see :footcite:`talairach_atlas`,\n :footcite:`Lancaster2000Talairach`,\n and :footcite:`Lancaster1997labeling`.\n\n .. versionadded:: 0.4.0\n\n Parameters\n ---------... |
f0284b36c89f2a78c9902b51cad627f9646377ab95f73cee129335bc9566739b | @fill_doc
def fetch_atlas_pauli_2017(version='prob', data_dir=None, verbose=1):
"Download the Pauli et al. (2017) atlas with in total\n 12 subcortical nodes\n\n See :footcite:`pauli_atlas` and :footcite:`Pauli2018probabilistic`.\n\n Parameters\n ----------\n version : str {'prob', 'det'}, optional\n ... | Download the Pauli et al. (2017) atlas with in total
12 subcortical nodes
See :footcite:`pauli_atlas` and :footcite:`Pauli2018probabilistic`.
Parameters
----------
version : str {'prob', 'det'}, optional
Which version of the atlas should be download. This can be
'prob' for the probabilistic atlas or 'det' for... | nilearn/datasets/atlas.py | fetch_atlas_pauli_2017 | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_pauli_2017(version='prob', data_dir=None, verbose=1):
"Download the Pauli et al. (2017) atlas with in total\n 12 subcortical nodes\n\n See :footcite:`pauli_atlas` and :footcite:`Pauli2018probabilistic`.\n\n Parameters\n ----------\n version : str {'prob', 'det'}, optional\n ... | @fill_doc
def fetch_atlas_pauli_2017(version='prob', data_dir=None, verbose=1):
"Download the Pauli et al. (2017) atlas with in total\n 12 subcortical nodes\n\n See :footcite:`pauli_atlas` and :footcite:`Pauli2018probabilistic`.\n\n Parameters\n ----------\n version : str {'prob', 'det'}, optional\n ... |
2be651359f1f223cc8d2c916dd7bcac860d4be796dab772fa19aa07daf2d933a | @fill_doc
def fetch_atlas_schaefer_2018(n_rois=400, yeo_networks=7, resolution_mm=1, data_dir=None, base_url=None, resume=True, verbose=1):
'Download and return file names for the Schaefer 2018 parcellation\n\n .. versionadded:: 0.5.1\n\n The provided images are in MNI152 space.\n\n For more information on... | Download and return file names for the Schaefer 2018 parcellation
.. versionadded:: 0.5.1
The provided images are in MNI152 space.
For more information on this dataset, see :footcite:`schaefer_atlas`,
:footcite:`Schaefer2017parcellation`,
and :footcite:`Yeo2011organization`.
Parameters
----------
n_rois : int, opti... | nilearn/datasets/atlas.py | fetch_atlas_schaefer_2018 | lemiceterieux/nilearn | 827 | python | @fill_doc
def fetch_atlas_schaefer_2018(n_rois=400, yeo_networks=7, resolution_mm=1, data_dir=None, base_url=None, resume=True, verbose=1):
'Download and return file names for the Schaefer 2018 parcellation\n\n .. versionadded:: 0.5.1\n\n The provided images are in MNI152 space.\n\n For more information on... | @fill_doc
def fetch_atlas_schaefer_2018(n_rois=400, yeo_networks=7, resolution_mm=1, data_dir=None, base_url=None, resume=True, verbose=1):
'Download and return file names for the Schaefer 2018 parcellation\n\n .. versionadded:: 0.5.1\n\n The provided images are in MNI152 space.\n\n For more information on... |
c1ed429e46a53b0ee0c4e53b1cbfbb8da3596518bc0f664c8a25f81269c428cc | def constructMaximumBinaryTree(self, nums):
'\n :type nums: List[int]\n :rtype: TreeNode\n '
self.SparseTable = [[(v, i) for (i, v) in enumerate(nums)]]
l = len(nums)
t = 1
while ((t * 2) < l):
prevTable = self.SparseTable[(- 1)]
self.SparseTable.append([max(prev... | :type nums: List[int]
:rtype: TreeNode | py/maximum-binary-tree.py | constructMaximumBinaryTree | ckclark/leetcode | 0 | python | def constructMaximumBinaryTree(self, nums):
'\n :type nums: List[int]\n :rtype: TreeNode\n '
self.SparseTable = [[(v, i) for (i, v) in enumerate(nums)]]
l = len(nums)
t = 1
while ((t * 2) < l):
prevTable = self.SparseTable[(- 1)]
self.SparseTable.append([max(prev... | def constructMaximumBinaryTree(self, nums):
'\n :type nums: List[int]\n :rtype: TreeNode\n '
self.SparseTable = [[(v, i) for (i, v) in enumerate(nums)]]
l = len(nums)
t = 1
while ((t * 2) < l):
prevTable = self.SparseTable[(- 1)]
self.SparseTable.append([max(prev... |
987f589f3ffca4b45b556dcd51e590b4e267ec6cc23eba75ccb391c3a7ce373a | def repr(self, **fields) -> str:
'\n Helper for __repr__\n '
field_strings = []
at_least_one_attached_attribute = False
for (key, field) in fields.items():
field_strings.append(f'{key}={field!r}')
at_least_one_attached_attribute = True
if at_least_one_attached_attribute... | Helper for __repr__ | investing_algorithm_framework/core/context/algorithm_context_configuration.py | repr | investing-algorithms/investing-algorithm-framework | 1 | python | def repr(self, **fields) -> str:
'\n \n '
field_strings = []
at_least_one_attached_attribute = False
for (key, field) in fields.items():
field_strings.append(f'{key}={field!r}')
at_least_one_attached_attribute = True
if at_least_one_attached_attribute:
return f"... | def repr(self, **fields) -> str:
'\n \n '
field_strings = []
at_least_one_attached_attribute = False
for (key, field) in fields.items():
field_strings.append(f'{key}={field!r}')
at_least_one_attached_attribute = True
if at_least_one_attached_attribute:
return f"... |
a2fa5f16927ea85d45c1b5326556580ce4b589e3aa75dd6e2fb322a1872c9ce5 | def simple_test(self, imgs, img_metas, imgs_2, img_metas_2, proposals=None, rescale=False, test_cfg2=None):
'Test without augmentation.'
assert self.with_bbox, 'Bbox head must be implemented.'
if (test_cfg2 is not None):
test_cfg = test_cfg2
else:
test_cfg = self.test_cfg
img_metas =... | Test without augmentation. | mmdet/models/detectors/two_stage_3d_2scales.py | simple_test | arthur801031/3d-multi-resolution-rcnn | 16 | python | def simple_test(self, imgs, img_metas, imgs_2, img_metas_2, proposals=None, rescale=False, test_cfg2=None):
assert self.with_bbox, 'Bbox head must be implemented.'
if (test_cfg2 is not None):
test_cfg = test_cfg2
else:
test_cfg = self.test_cfg
img_metas = img_metas[0]
img_metas_... | def simple_test(self, imgs, img_metas, imgs_2, img_metas_2, proposals=None, rescale=False, test_cfg2=None):
assert self.with_bbox, 'Bbox head must be implemented.'
if (test_cfg2 is not None):
test_cfg = test_cfg2
else:
test_cfg = self.test_cfg
img_metas = img_metas[0]
img_metas_... |
bd931965fa1741213b5d57bca320564a05b74b58665ddcaaa5d9d0c681967bad | def doInitialization(self):
' actually do the initialization and look up the models '
if (not self.initialized):
parentModel = getModelByName(self.parentModelName)
super(ModelCollectionManager, self).__init__(parentModel)
for childName in self.childModelNames:
childModel = ge... | actually do the initialization and look up the models | geocamUtil/models/managers.py | doInitialization | geocam/geocamUtilWeb | 4 | python | def doInitialization(self):
' '
if (not self.initialized):
parentModel = getModelByName(self.parentModelName)
super(ModelCollectionManager, self).__init__(parentModel)
for childName in self.childModelNames:
childModel = getModelByName(childName)
self.registerChil... | def doInitialization(self):
' '
if (not self.initialized):
parentModel = getModelByName(self.parentModelName)
super(ModelCollectionManager, self).__init__(parentModel)
for childName in self.childModelNames:
childModel = getModelByName(childName)
self.registerChil... |
4c5bac090d976791b29dc1c1f35f2ce17326bac77eba6522d321a81cdcab27a1 | def __init__(self, model_name_variable=None, query=None, using=None, hints=None, model=None):
"\n Initialize with either the model or the model name variable.\n :param model_name_variable: the name of the variable holding the model name, ie 'settings.bla'\n :param query:\n :param using:\... | Initialize with either the model or the model name variable.
:param model_name_variable: the name of the variable holding the model name, ie 'settings.bla'
:param query:
:param using:
:param hints:
:param model: This is just used when cloning or other internal uses, or if you already have the model. | geocamUtil/models/managers.py | __init__ | geocam/geocamUtilWeb | 4 | python | def __init__(self, model_name_variable=None, query=None, using=None, hints=None, model=None):
"\n Initialize with either the model or the model name variable.\n :param model_name_variable: the name of the variable holding the model name, ie 'settings.bla'\n :param query:\n :param using:\... | def __init__(self, model_name_variable=None, query=None, using=None, hints=None, model=None):
"\n Initialize with either the model or the model name variable.\n :param model_name_variable: the name of the variable holding the model name, ie 'settings.bla'\n :param query:\n :param using:\... |
18ddc6a71377b509fad258d828be6a58924fc51f20c10c262239d267f75f6227 | def do_initialization(self):
' actually do the initialization and look up the models '
if (not self.initialized):
model_name = eval(self.model_name_variable)
self.model = getModelByName(model_name)
super(LazyQuerySet, self).__init__(self.model, self.initial_query, self.initial_using, sel... | actually do the initialization and look up the models | geocamUtil/models/managers.py | do_initialization | geocam/geocamUtilWeb | 4 | python | def do_initialization(self):
' '
if (not self.initialized):
model_name = eval(self.model_name_variable)
self.model = getModelByName(model_name)
super(LazyQuerySet, self).__init__(self.model, self.initial_query, self.initial_using, self.initial_hints)
self.initialized = True | def do_initialization(self):
' '
if (not self.initialized):
model_name = eval(self.model_name_variable)
self.model = getModelByName(model_name)
super(LazyQuerySet, self).__init__(self.model, self.initial_query, self.initial_using, self.initial_hints)
self.initialized = True<|doc... |
05ceebc322b03bd34b689699e07d963d73a95a8fec43b4bfc710998a49370e11 | def do_initialization(self):
' actually do the initialization and look up the models '
if (not self.initialized):
model_name = eval(self.model_name_variable)
self.model = getModelByName(model_name)
super(LazyModelManager, self).__init__()
self.initialized = True | actually do the initialization and look up the models | geocamUtil/models/managers.py | do_initialization | geocam/geocamUtilWeb | 4 | python | def do_initialization(self):
' '
if (not self.initialized):
model_name = eval(self.model_name_variable)
self.model = getModelByName(model_name)
super(LazyModelManager, self).__init__()
self.initialized = True | def do_initialization(self):
' '
if (not self.initialized):
model_name = eval(self.model_name_variable)
self.model = getModelByName(model_name)
super(LazyModelManager, self).__init__()
self.initialized = True<|docstring|>actually do the initialization and look up the models<|end... |
d878b8ba448f3f2c1b85ff2c3cade83248de8ef99c93cd6f0d515ab3d5f66108 | @staticmethod
def is_scalar(value):
"Return True iff 'value' should be represented by a leaf node."
return (not isinstance(value, (dict, list, tuple, set))) | Return True iff 'value' should be represented by a leaf node. | browson/node.py | is_scalar | jherland/browson | 0 | python | @staticmethod
def is_scalar(value):
return (not isinstance(value, (dict, list, tuple, set))) | @staticmethod
def is_scalar(value):
return (not isinstance(value, (dict, list, tuple, set)))<|docstring|>Return True iff 'value' should be represented by a leaf node.<|endoftext|> |
62b22ff8cdeb336aa2cbab24a17e596c819ca1ad3fda33b0a31d8133ad4767d7 | @property
def is_leaf(self):
'Return True iff this is a leaf node (i.e. cannot have any children).\n\n This is different from an empty container, i.e. an "internal" node\n whose list of children is empty.'
return (self._children is None) | Return True iff this is a leaf node (i.e. cannot have any children).
This is different from an empty container, i.e. an "internal" node
whose list of children is empty. | browson/node.py | is_leaf | jherland/browson | 0 | python | @property
def is_leaf(self):
'Return True iff this is a leaf node (i.e. cannot have any children).\n\n This is different from an empty container, i.e. an "internal" node\n whose list of children is empty.'
return (self._children is None) | @property
def is_leaf(self):
'Return True iff this is a leaf node (i.e. cannot have any children).\n\n This is different from an empty container, i.e. an "internal" node\n whose list of children is empty.'
return (self._children is None)<|docstring|>Return True iff this is a leaf node (i.e. cannot... |
52fbb0e9746a7edf64dad98af2546bead4348dce45a66dc15085d82e298870d0 | @property
def children(self):
"Return this node's children.\n\n Return an empty list for leaf nodes, as a convenience for callers that\n typically iterated over this methods return value."
return ([] if (self._children is None) else self._children) | Return this node's children.
Return an empty list for leaf nodes, as a convenience for callers that
typically iterated over this methods return value. | browson/node.py | children | jherland/browson | 0 | python | @property
def children(self):
"Return this node's children.\n\n Return an empty list for leaf nodes, as a convenience for callers that\n typically iterated over this methods return value."
return ([] if (self._children is None) else self._children) | @property
def children(self):
"Return this node's children.\n\n Return an empty list for leaf nodes, as a convenience for callers that\n typically iterated over this methods return value."
return ([] if (self._children is None) else self._children)<|docstring|>Return this node's children.
Return ... |
cf2a0d2c5a5dc197203f83a7b9678d2dc45767fd5adfd73bdf4ba31a6682f790 | def ancestors(self, include_self=False):
'Yield transitive parents of this node.'
if include_self:
(yield self)
if (self.parent is not None):
(yield from self.parent.ancestors(include_self=True)) | Yield transitive parents of this node. | browson/node.py | ancestors | jherland/browson | 0 | python | def ancestors(self, include_self=False):
if include_self:
(yield self)
if (self.parent is not None):
(yield from self.parent.ancestors(include_self=True)) | def ancestors(self, include_self=False):
if include_self:
(yield self)
if (self.parent is not None):
(yield from self.parent.ancestors(include_self=True))<|docstring|>Yield transitive parents of this node.<|endoftext|> |
dafcfb61590b8d4dabc9d61c14ee4bc9cf52ed76d0364ad87721ed13547bdb23 | def dfwalk(self, preorder=yield_node, postorder=None):
'Depth-first walk, yields values yielded from visitor function.'
if (preorder is not None):
(yield from preorder(self))
for child in self.children:
(yield from child.dfwalk(preorder, postorder))
if (postorder is not None):
(y... | Depth-first walk, yields values yielded from visitor function. | browson/node.py | dfwalk | jherland/browson | 0 | python | def dfwalk(self, preorder=yield_node, postorder=None):
if (preorder is not None):
(yield from preorder(self))
for child in self.children:
(yield from child.dfwalk(preorder, postorder))
if (postorder is not None):
(yield from postorder(self)) | def dfwalk(self, preorder=yield_node, postorder=None):
if (preorder is not None):
(yield from preorder(self))
for child in self.children:
(yield from child.dfwalk(preorder, postorder))
if (postorder is not None):
(yield from postorder(self))<|docstring|>Depth-first walk, yields ... |
b0ef35c3b3efadd90a98d5d781623fea8755adcb0cd7c8dc9eb040cad21f8ee7 | def hit(self):
'\n Decrease 1 HP and change the color of image and return the remaining HP\n\n @return The remaining HP\n '
self.hp -= 1
self.image = self._create_surface((244, 158, 66))
return self.hp | Decrease 1 HP and change the color of image and return the remaining HP
@return The remaining HP | MLGame/games/arkanoid/game/gameobject.py | hit | Liuian/1092_INTRODUCTION-TO-MACHINE-LEARNING-AND-ITS-APPLICATION-TO-GAMING | 0 | python | def hit(self):
'\n Decrease 1 HP and change the color of image and return the remaining HP\n\n @return The remaining HP\n '
self.hp -= 1
self.image = self._create_surface((244, 158, 66))
return self.hp | def hit(self):
'\n Decrease 1 HP and change the color of image and return the remaining HP\n\n @return The remaining HP\n '
self.hp -= 1
self.image = self._create_surface((244, 158, 66))
return self.hp<|docstring|>Decrease 1 HP and change the color of image and return the remaining ... |
80b1fa89cc995477d32f5429ab1ee04e078e451a3c6048abab55b9e4d98dd606 | def _platform_additional_check(self, platform: Platform):
'\n The additional checking for the condition that the ball passes the corner of the platform\n '
if (self.rect.bottom > platform.rect.top):
routine_a = (Vector2(self._last_pos.bottomleft), Vector2(self.rect.bottomleft))
rou... | The additional checking for the condition that the ball passes the corner of the platform | MLGame/games/arkanoid/game/gameobject.py | _platform_additional_check | Liuian/1092_INTRODUCTION-TO-MACHINE-LEARNING-AND-ITS-APPLICATION-TO-GAMING | 0 | python | def _platform_additional_check(self, platform: Platform):
'\n \n '
if (self.rect.bottom > platform.rect.top):
routine_a = (Vector2(self._last_pos.bottomleft), Vector2(self.rect.bottomleft))
routine_b = (Vector2(self._last_pos.bottomright), Vector2(self.rect.bottomright))
re... | def _platform_additional_check(self, platform: Platform):
'\n \n '
if (self.rect.bottom > platform.rect.top):
routine_a = (Vector2(self._last_pos.bottomleft), Vector2(self.rect.bottomleft))
routine_b = (Vector2(self._last_pos.bottomright), Vector2(self.rect.bottomright))
re... |
321351843763018d208f18ddd518983be415e0ed9925d9ef4130629a412b953d | def _slice_ball(self, ball_speed_x, platform_speed_x):
'\n Check if the platform slices the ball, and modify the ball speed.\n\n @return The new x speed of the ball after slicing\n '
if (platform_speed_x == 0):
return (7 if (ball_speed_x > 0) else (- 7))
elif ((ball_speed_x * pl... | Check if the platform slices the ball, and modify the ball speed.
@return The new x speed of the ball after slicing | MLGame/games/arkanoid/game/gameobject.py | _slice_ball | Liuian/1092_INTRODUCTION-TO-MACHINE-LEARNING-AND-ITS-APPLICATION-TO-GAMING | 0 | python | def _slice_ball(self, ball_speed_x, platform_speed_x):
'\n Check if the platform slices the ball, and modify the ball speed.\n\n @return The new x speed of the ball after slicing\n '
if (platform_speed_x == 0):
return (7 if (ball_speed_x > 0) else (- 7))
elif ((ball_speed_x * pl... | def _slice_ball(self, ball_speed_x, platform_speed_x):
'\n Check if the platform slices the ball, and modify the ball speed.\n\n @return The new x speed of the ball after slicing\n '
if (platform_speed_x == 0):
return (7 if (ball_speed_x > 0) else (- 7))
elif ((ball_speed_x * pl... |
49d3b78919ff711e3eab976eb9ffe4f88653608f987fb23f4de16a4e52e09f3c | def check_hit_brick(self, group_brick: pygame.sprite.RenderPlain) -> int:
'\n Check if the ball hits bricks in the `group_brick`.\n The hit bricks will be removed from `group_brick`, but the alive hard brick will not.\n However, if the ball speed is high, the hard brick will be removed with onl... | Check if the ball hits bricks in the `group_brick`.
The hit bricks will be removed from `group_brick`, but the alive hard brick will not.
However, if the ball speed is high, the hard brick will be removed with only one hit.
@param group_brick The sprite group containing bricks
@return The number of destroyed bricks | MLGame/games/arkanoid/game/gameobject.py | check_hit_brick | Liuian/1092_INTRODUCTION-TO-MACHINE-LEARNING-AND-ITS-APPLICATION-TO-GAMING | 0 | python | def check_hit_brick(self, group_brick: pygame.sprite.RenderPlain) -> int:
'\n Check if the ball hits bricks in the `group_brick`.\n The hit bricks will be removed from `group_brick`, but the alive hard brick will not.\n However, if the ball speed is high, the hard brick will be removed with onl... | def check_hit_brick(self, group_brick: pygame.sprite.RenderPlain) -> int:
'\n Check if the ball hits bricks in the `group_brick`.\n The hit bricks will be removed from `group_brick`, but the alive hard brick will not.\n However, if the ball speed is high, the hard brick will be removed with onl... |
02525ddedbfcc39d8788c2663778e039a75e08f874d60aeac9b2e5dec25367d5 | def create_optimizer(loss, learning_rate, num_train_steps, weight_decay_rate=0.0, warmup_steps=0, warmup_proportion=0, lr_decay_power=1.0, layerwise_lr_decay_power=(- 1), n_transformer_layers=None, hvd=None, use_fp16=False, num_accumulation_steps=1, allreduce_post_accumulation=False):
'\n Creates an optimizer an... | Creates an optimizer and training op. | model/optimization.py | create_optimizer | ololo123321/electra | 0 | python | def create_optimizer(loss, learning_rate, num_train_steps, weight_decay_rate=0.0, warmup_steps=0, warmup_proportion=0, lr_decay_power=1.0, layerwise_lr_decay_power=(- 1), n_transformer_layers=None, hvd=None, use_fp16=False, num_accumulation_steps=1, allreduce_post_accumulation=False):
'\n \n '
compression... | def create_optimizer(loss, learning_rate, num_train_steps, weight_decay_rate=0.0, warmup_steps=0, warmup_proportion=0, lr_decay_power=1.0, layerwise_lr_decay_power=(- 1), n_transformer_layers=None, hvd=None, use_fp16=False, num_accumulation_steps=1, allreduce_post_accumulation=False):
'\n \n '
compression... |
355f36dbfd98170c5e518f5a4bba67bad63a658ab2faf69f5cb07010722ba74c | def _get_layer_lrs(learning_rate, layer_decay, n_layers):
'Have lower learning rates for layers closer to the input.'
key_to_depths = collections.OrderedDict({'/embeddings/': 0, '/embeddings_project/': 0, 'task_specific/': (n_layers + 2)})
for layer in range(n_layers):
key_to_depths[(('encoder/layer... | Have lower learning rates for layers closer to the input. | model/optimization.py | _get_layer_lrs | ololo123321/electra | 0 | python | def _get_layer_lrs(learning_rate, layer_decay, n_layers):
key_to_depths = collections.OrderedDict({'/embeddings/': 0, '/embeddings_project/': 0, 'task_specific/': (n_layers + 2)})
for layer in range(n_layers):
key_to_depths[(('encoder/layer_' + str(layer)) + '/')] = (layer + 1)
return {key: (le... | def _get_layer_lrs(learning_rate, layer_decay, n_layers):
key_to_depths = collections.OrderedDict({'/embeddings/': 0, '/embeddings_project/': 0, 'task_specific/': (n_layers + 2)})
for layer in range(n_layers):
key_to_depths[(('encoder/layer_' + str(layer)) + '/')] = (layer + 1)
return {key: (le... |
24adf298c22794b47c56f2cad97d96d0fe9bd10752682c591a28b0dbca159649 | def __init__(self, learning_rate, weight_decay_rate=0.0, beta_1=0.9, beta_2=0.999, epsilon=1e-06, exclude_from_weight_decay=None, name='AdamWeightDecayOptimizer'):
'Constructs a AdamWeightDecayOptimizer.'
super(AdamWeightDecayOptimizer, self).__init__(False, name)
self.learning_rate = learning_rate
self... | Constructs a AdamWeightDecayOptimizer. | model/optimization.py | __init__ | ololo123321/electra | 0 | python | def __init__(self, learning_rate, weight_decay_rate=0.0, beta_1=0.9, beta_2=0.999, epsilon=1e-06, exclude_from_weight_decay=None, name='AdamWeightDecayOptimizer'):
super(AdamWeightDecayOptimizer, self).__init__(False, name)
self.learning_rate = learning_rate
self.weight_decay_rate = weight_decay_rate
... | def __init__(self, learning_rate, weight_decay_rate=0.0, beta_1=0.9, beta_2=0.999, epsilon=1e-06, exclude_from_weight_decay=None, name='AdamWeightDecayOptimizer'):
super(AdamWeightDecayOptimizer, self).__init__(False, name)
self.learning_rate = learning_rate
self.weight_decay_rate = weight_decay_rate
... |
d7327d149d782103e88635073d69baa53030a35cf75348614ceefcd08b72441d | def _apply_gradients(self, grads_and_vars, learning_rate):
'See base class.'
assignments = []
for (grad, param) in grads_and_vars:
if ((grad is None) or (param is None)):
continue
param_name = self._get_variable_name(param.name)
m = tf.get_variable(name=(param_name + '/ad... | See base class. | model/optimization.py | _apply_gradients | ololo123321/electra | 0 | python | def _apply_gradients(self, grads_and_vars, learning_rate):
assignments = []
for (grad, param) in grads_and_vars:
if ((grad is None) or (param is None)):
continue
param_name = self._get_variable_name(param.name)
m = tf.get_variable(name=(param_name + '/adam_m'), shape=par... | def _apply_gradients(self, grads_and_vars, learning_rate):
assignments = []
for (grad, param) in grads_and_vars:
if ((grad is None) or (param is None)):
continue
param_name = self._get_variable_name(param.name)
m = tf.get_variable(name=(param_name + '/adam_m'), shape=par... |
da0acc64040e539fa03f8439eac3eb576613720c4bd7b4eea35feb7371ae9ea6 | def _do_use_weight_decay(self, param_name):
'Whether to use L2 weight decay for `param_name`.'
if (not self.weight_decay_rate):
return False
if self.exclude_from_weight_decay:
for r in self.exclude_from_weight_decay:
if (re.search(r, param_name) is not None):
retu... | Whether to use L2 weight decay for `param_name`. | model/optimization.py | _do_use_weight_decay | ololo123321/electra | 0 | python | def _do_use_weight_decay(self, param_name):
if (not self.weight_decay_rate):
return False
if self.exclude_from_weight_decay:
for r in self.exclude_from_weight_decay:
if (re.search(r, param_name) is not None):
return False
return True | def _do_use_weight_decay(self, param_name):
if (not self.weight_decay_rate):
return False
if self.exclude_from_weight_decay:
for r in self.exclude_from_weight_decay:
if (re.search(r, param_name) is not None):
return False
return True<|docstring|>Whether to us... |
9bd4d7a00c67683b92306e6f63516a48c730f5e6f02201323d156c1c60096274 | def _get_variable_name(self, param_name):
'Get the variable name from the tensor name.'
m = re.match('^(.*):\\d+$', param_name)
if (m is not None):
param_name = m.group(1)
return param_name | Get the variable name from the tensor name. | model/optimization.py | _get_variable_name | ololo123321/electra | 0 | python | def _get_variable_name(self, param_name):
m = re.match('^(.*):\\d+$', param_name)
if (m is not None):
param_name = m.group(1)
return param_name | def _get_variable_name(self, param_name):
m = re.match('^(.*):\\d+$', param_name)
if (m is not None):
param_name = m.group(1)
return param_name<|docstring|>Get the variable name from the tensor name.<|endoftext|> |
78174c503a36c91b6dcfe505831b062f5ce01da2d47ed74cc4023f1b9cad3aba | def main_cron(no_confirm=True):
'set no_confirm to True for running this script automatically\n without intervention.'
src_dump = get_src_dump()
mart_version = chk_latest_mart_version()
logging.info(('Checking latest mart_version:\t%s' % mart_version))
doc = src_dump.find_one({'_id': 'ensembl'... | set no_confirm to True for running this script automatically
without intervention. | src/dataload/data_dump/dl_ensembl_mart.py | main_cron | karawallace/mygene | 0 | python | def main_cron(no_confirm=True):
'set no_confirm to True for running this script automatically\n without intervention.'
src_dump = get_src_dump()
mart_version = chk_latest_mart_version()
logging.info(('Checking latest mart_version:\t%s' % mart_version))
doc = src_dump.find_one({'_id': 'ensembl'... | def main_cron(no_confirm=True):
'set no_confirm to True for running this script automatically\n without intervention.'
src_dump = get_src_dump()
mart_version = chk_latest_mart_version()
logging.info(('Checking latest mart_version:\t%s' % mart_version))
doc = src_dump.find_one({'_id': 'ensembl'... |
0a02cb030fe1194a48c18c592b889af2423edbd64b23cb83025e813675ca88f8 | @router.get('', response_model=projects.schemas.template.TemplateList)
async def handle_list_templates(session: Session=Depends(session_scope)):
'\n Handles GET requests to /.\n\n Parameters\n ----------\n session : sqlalchemy.orm.session.Session\n\n Returns\n -------\n projects.schemas.templat... | Handles GET requests to /.
Parameters
----------
session : sqlalchemy.orm.session.Session
Returns
-------
projects.schemas.template.TemplateList | projects/api/templates.py | handle_list_templates | dnlcesilva/projects | 0 | python | @router.get(, response_model=projects.schemas.template.TemplateList)
async def handle_list_templates(session: Session=Depends(session_scope)):
'\n Handles GET requests to /.\n\n Parameters\n ----------\n session : sqlalchemy.orm.session.Session\n\n Returns\n -------\n projects.schemas.template.... | @router.get(, response_model=projects.schemas.template.TemplateList)
async def handle_list_templates(session: Session=Depends(session_scope)):
'\n Handles GET requests to /.\n\n Parameters\n ----------\n session : sqlalchemy.orm.session.Session\n\n Returns\n -------\n projects.schemas.template.... |
33970662e9238be37ee1034084554e7c91dacd265ac4cbc7bb0526253fea74d2 | @router.post('', response_model=projects.schemas.template.Template)
async def handle_post_templates(template: projects.schemas.template.TemplateCreate, session: Session=Depends(session_scope)):
'\n Handles POST requests to /.\n\n Parameters\n ----------\n session : sqlalchemy.orm.session.Session\n te... | Handles POST requests to /.
Parameters
----------
session : sqlalchemy.orm.session.Session
template : projects.schemas.template.TemplateCreate
Returns
-------
projects.schemas.template.Template | projects/api/templates.py | handle_post_templates | dnlcesilva/projects | 0 | python | @router.post(, response_model=projects.schemas.template.Template)
async def handle_post_templates(template: projects.schemas.template.TemplateCreate, session: Session=Depends(session_scope)):
'\n Handles POST requests to /.\n\n Parameters\n ----------\n session : sqlalchemy.orm.session.Session\n temp... | @router.post(, response_model=projects.schemas.template.Template)
async def handle_post_templates(template: projects.schemas.template.TemplateCreate, session: Session=Depends(session_scope)):
'\n Handles POST requests to /.\n\n Parameters\n ----------\n session : sqlalchemy.orm.session.Session\n temp... |
6851dd80601a6984ddeda54275bfb4f7892cc1468c94ea53da887e0568ce6ce4 | @router.get('/{template_id}', response_model=projects.schemas.template.Template)
async def handle_get_template(template_id: str, session: Session=Depends(session_scope)):
'\n Handles GET requests to /<template_id>.\n\n Parameters\n ----------\n template_id : str\n session : sqlalchemy.orm.session.Ses... | Handles GET requests to /<template_id>.
Parameters
----------
template_id : str
session : sqlalchemy.orm.session.Session
Returns
-------
projects.schemas.template.Template | projects/api/templates.py | handle_get_template | dnlcesilva/projects | 0 | python | @router.get('/{template_id}', response_model=projects.schemas.template.Template)
async def handle_get_template(template_id: str, session: Session=Depends(session_scope)):
'\n Handles GET requests to /<template_id>.\n\n Parameters\n ----------\n template_id : str\n session : sqlalchemy.orm.session.Ses... | @router.get('/{template_id}', response_model=projects.schemas.template.Template)
async def handle_get_template(template_id: str, session: Session=Depends(session_scope)):
'\n Handles GET requests to /<template_id>.\n\n Parameters\n ----------\n template_id : str\n session : sqlalchemy.orm.session.Ses... |
417ed3ac46968bf7b017d3b69ef199f5a917d4db3a6caf9894a98d0c4bbc48d8 | @router.patch('/{template_id}', response_model=projects.schemas.template.Template)
async def handle_patch_template(template_id: str, template: projects.schemas.template.TemplateUpdate, session: Session=Depends(session_scope)):
'\n Handles PATCH requests to /<template_id>.\n\n Parameters\n ----------\n t... | Handles PATCH requests to /<template_id>.
Parameters
----------
template_id : str
template : projects.schemas.template.TemplateUpdate
session : sqlalchemy.orm.session.Session
Returns
-------
projects.schemas.template.Template | projects/api/templates.py | handle_patch_template | dnlcesilva/projects | 0 | python | @router.patch('/{template_id}', response_model=projects.schemas.template.Template)
async def handle_patch_template(template_id: str, template: projects.schemas.template.TemplateUpdate, session: Session=Depends(session_scope)):
'\n Handles PATCH requests to /<template_id>.\n\n Parameters\n ----------\n t... | @router.patch('/{template_id}', response_model=projects.schemas.template.Template)
async def handle_patch_template(template_id: str, template: projects.schemas.template.TemplateUpdate, session: Session=Depends(session_scope)):
'\n Handles PATCH requests to /<template_id>.\n\n Parameters\n ----------\n t... |
821f5820c08fe2fcb3746e72b11a790f8d30500a1b09d10f434e2b94257d6b77 | @router.delete('/{template_id}')
async def handle_delete_template(template_id: str, session: Session=Depends(session_scope)):
'\n Handles DELETE requests to /<template_id>.\n\n Parameters\n ----------\n template_id : str\n session : sqlalchemy.orm.session.Session\n\n Returns\n -------\n proj... | Handles DELETE requests to /<template_id>.
Parameters
----------
template_id : str
session : sqlalchemy.orm.session.Session
Returns
-------
projects.schemas.message.Message | projects/api/templates.py | handle_delete_template | dnlcesilva/projects | 0 | python | @router.delete('/{template_id}')
async def handle_delete_template(template_id: str, session: Session=Depends(session_scope)):
'\n Handles DELETE requests to /<template_id>.\n\n Parameters\n ----------\n template_id : str\n session : sqlalchemy.orm.session.Session\n\n Returns\n -------\n proj... | @router.delete('/{template_id}')
async def handle_delete_template(template_id: str, session: Session=Depends(session_scope)):
'\n Handles DELETE requests to /<template_id>.\n\n Parameters\n ----------\n template_id : str\n session : sqlalchemy.orm.session.Session\n\n Returns\n -------\n proj... |
d11619b5a0d46b298de29c133ef56d59f58d6314891b229ce5af2a34a350a4fc | def limit_speed(self, velocity):
'\n Returns a velocity that is no faster than self.speed_limit.\n '
speed = la.norm(velocity)
if (speed < self.speed_limit):
return velocity
else:
return ((self.speed_limit * velocity) / speed) | Returns a velocity that is no faster than self.speed_limit. | src/ball.py | limit_speed | dnagarkar/bubble-deflector | 2 | python | def limit_speed(self, velocity):
'\n \n '
speed = la.norm(velocity)
if (speed < self.speed_limit):
return velocity
else:
return ((self.speed_limit * velocity) / speed) | def limit_speed(self, velocity):
'\n \n '
speed = la.norm(velocity)
if (speed < self.speed_limit):
return velocity
else:
return ((self.speed_limit * velocity) / speed)<|docstring|>Returns a velocity that is no faster than self.speed_limit.<|endoftext|> |
8caec319c35ccb7961a3d028d71211be971da85fe08288c565b53e7d1b251ae6 | def apply_force(self, force):
'\n Compute and update the acceleration on this ball.\n Hint: Force = Mass * Acceleration\n '
pass | Compute and update the acceleration on this ball.
Hint: Force = Mass * Acceleration | src/ball.py | apply_force | dnagarkar/bubble-deflector | 2 | python | def apply_force(self, force):
'\n Compute and update the acceleration on this ball.\n Hint: Force = Mass * Acceleration\n '
pass | def apply_force(self, force):
'\n Compute and update the acceleration on this ball.\n Hint: Force = Mass * Acceleration\n '
pass<|docstring|>Compute and update the acceleration on this ball.
Hint: Force = Mass * Acceleration<|endoftext|> |
b5acf983b070c671765ed0bfbcd92d05bc47322dbd4c4e76df836bf5bfc7b6de | def update(self, dt):
'\n Update the velocity and position.\n Hint: new_velocity = dt * acceleration + old_velocity\n Hint: new_position = dt * velocity + old_position\n '
self.acceleration = np.array([0, 0], dtype=np.float) | Update the velocity and position.
Hint: new_velocity = dt * acceleration + old_velocity
Hint: new_position = dt * velocity + old_position | src/ball.py | update | dnagarkar/bubble-deflector | 2 | python | def update(self, dt):
'\n Update the velocity and position.\n Hint: new_velocity = dt * acceleration + old_velocity\n Hint: new_position = dt * velocity + old_position\n '
self.acceleration = np.array([0, 0], dtype=np.float) | def update(self, dt):
'\n Update the velocity and position.\n Hint: new_velocity = dt * acceleration + old_velocity\n Hint: new_position = dt * velocity + old_position\n '
self.acceleration = np.array([0, 0], dtype=np.float)<|docstring|>Update the velocity and position.
Hint: new_vel... |
bc9d7566fec526d8e9bfd77f8955c3e9742ef12a9666a603d67e9c2cd1f113a4 | def wall_collision(self, wall, dt):
'\n We first want to check if this ball is colliding with `wall`.\n If so, we want to compute the force on the ball.\n Hint: Take a look at `self.compute_wall_collision_point`\n '
pass | We first want to check if this ball is colliding with `wall`.
If so, we want to compute the force on the ball.
Hint: Take a look at `self.compute_wall_collision_point` | src/ball.py | wall_collision | dnagarkar/bubble-deflector | 2 | python | def wall_collision(self, wall, dt):
'\n We first want to check if this ball is colliding with `wall`.\n If so, we want to compute the force on the ball.\n Hint: Take a look at `self.compute_wall_collision_point`\n '
pass | def wall_collision(self, wall, dt):
'\n We first want to check if this ball is colliding with `wall`.\n If so, we want to compute the force on the ball.\n Hint: Take a look at `self.compute_wall_collision_point`\n '
pass<|docstring|>We first want to check if this ball is colliding wi... |
87d6a63096548fb14b116ae934be8836b2409d7033874192f1c685a896578913 | def ball_ball_collision(ball_a, ball_b, dt):
'\n We first want to check if `ball_a` and `ball_b` are colliding.\n If so, we need to apply a force to each ball.\n Hint: Take a look at `Ball.reset_ball_collision_positions`\n and `Ball.compute_ball_collision_forces`\n '
p... | We first want to check if `ball_a` and `ball_b` are colliding.
If so, we need to apply a force to each ball.
Hint: Take a look at `Ball.reset_ball_collision_positions`
and `Ball.compute_ball_collision_forces` | src/ball.py | ball_ball_collision | dnagarkar/bubble-deflector | 2 | python | def ball_ball_collision(ball_a, ball_b, dt):
'\n We first want to check if `ball_a` and `ball_b` are colliding.\n If so, we need to apply a force to each ball.\n Hint: Take a look at `Ball.reset_ball_collision_positions`\n and `Ball.compute_ball_collision_forces`\n '
p... | def ball_ball_collision(ball_a, ball_b, dt):
'\n We first want to check if `ball_a` and `ball_b` are colliding.\n If so, we need to apply a force to each ball.\n Hint: Take a look at `Ball.reset_ball_collision_positions`\n and `Ball.compute_ball_collision_forces`\n '
p... |
fb70efea6b791203e60943d86c014d8b5f32aa3b18bc45da78ba4cb14836389a | def draw(self, screen):
'\n Draw this ball to the screen.\n '
position = self.position.astype(np.int)
screen_bounds = np.array([[0, 0], [screen.get_width(), screen.get_height()]], dtype=np.int)
if (np.all((screen_bounds[0] < position)) and np.all((position < screen_bounds[1]))):
py... | Draw this ball to the screen. | src/ball.py | draw | dnagarkar/bubble-deflector | 2 | python | def draw(self, screen):
'\n \n '
position = self.position.astype(np.int)
screen_bounds = np.array([[0, 0], [screen.get_width(), screen.get_height()]], dtype=np.int)
if (np.all((screen_bounds[0] < position)) and np.all((position < screen_bounds[1]))):
pygame.draw.circle(screen, self... | def draw(self, screen):
'\n \n '
position = self.position.astype(np.int)
screen_bounds = np.array([[0, 0], [screen.get_width(), screen.get_height()]], dtype=np.int)
if (np.all((screen_bounds[0] < position)) and np.all((position < screen_bounds[1]))):
pygame.draw.circle(screen, self... |
b3760ffbc4f3b0db07b1980c4829e4bb70cbd059d99ae442f787ce212ef51629 | def compute_wall_collision_point(self, wall):
'\n Returns the point where ball and wall intersect or False if they do not\n intersect.\n '
if (la.norm((wall.a - wall.b)) == 0):
return False
d_norm = np.dot(((wall.b - wall.a) / la.norm((wall.b - wall.a))), (self.position - wall.a... | Returns the point where ball and wall intersect or False if they do not
intersect. | src/ball.py | compute_wall_collision_point | dnagarkar/bubble-deflector | 2 | python | def compute_wall_collision_point(self, wall):
'\n Returns the point where ball and wall intersect or False if they do not\n intersect.\n '
if (la.norm((wall.a - wall.b)) == 0):
return False
d_norm = np.dot(((wall.b - wall.a) / la.norm((wall.b - wall.a))), (self.position - wall.a... | def compute_wall_collision_point(self, wall):
'\n Returns the point where ball and wall intersect or False if they do not\n intersect.\n '
if (la.norm((wall.a - wall.b)) == 0):
return False
d_norm = np.dot(((wall.b - wall.a) / la.norm((wall.b - wall.a))), (self.position - wall.a... |
109e53e69285198f43f4299d5a7963e021b55bef63a7b36e5eb9d7f8710b9628 | def compute_ball_collision_forces(ball_a, ball_b, dt):
'\n Returns the two forces acting on `ball_a` and `ball_b` when\n they collide.\n '
force_a = ((((((((- 2.0) / dt) * ball_a.mass) * ball_b.mass) / (ball_a.mass + ball_b.mass)) * np.dot((ball_a.velocity - ball_b.velocity), (ball_a.positi... | Returns the two forces acting on `ball_a` and `ball_b` when
they collide. | src/ball.py | compute_ball_collision_forces | dnagarkar/bubble-deflector | 2 | python | def compute_ball_collision_forces(ball_a, ball_b, dt):
'\n Returns the two forces acting on `ball_a` and `ball_b` when\n they collide.\n '
force_a = ((((((((- 2.0) / dt) * ball_a.mass) * ball_b.mass) / (ball_a.mass + ball_b.mass)) * np.dot((ball_a.velocity - ball_b.velocity), (ball_a.positi... | def compute_ball_collision_forces(ball_a, ball_b, dt):
'\n Returns the two forces acting on `ball_a` and `ball_b` when\n they collide.\n '
force_a = ((((((((- 2.0) / dt) * ball_a.mass) * ball_b.mass) / (ball_a.mass + ball_b.mass)) * np.dot((ball_a.velocity - ball_b.velocity), (ball_a.positi... |
60ebb56e820fcf30fc5a013e8b95328286905a0176f0d6c5817a96d4d137eed5 | def reset_ball_collision_positions(ball_a, ball_b):
'\n Set the positions of `ball_a` and `ball_b` so that they intersect at\n exactly one point.\n '
distance = la.norm((ball_a.position - ball_b.position))
error = (((((ball_a.radius + ball_b.radius) - distance) / 2.0) * (ball_a.position... | Set the positions of `ball_a` and `ball_b` so that they intersect at
exactly one point. | src/ball.py | reset_ball_collision_positions | dnagarkar/bubble-deflector | 2 | python | def reset_ball_collision_positions(ball_a, ball_b):
'\n Set the positions of `ball_a` and `ball_b` so that they intersect at\n exactly one point.\n '
distance = la.norm((ball_a.position - ball_b.position))
error = (((((ball_a.radius + ball_b.radius) - distance) / 2.0) * (ball_a.position... | def reset_ball_collision_positions(ball_a, ball_b):
'\n Set the positions of `ball_a` and `ball_b` so that they intersect at\n exactly one point.\n '
distance = la.norm((ball_a.position - ball_b.position))
error = (((((ball_a.radius + ball_b.radius) - distance) / 2.0) * (ball_a.position... |
398bdb3cd8c34c6bd455c9fa918abdb9b2501cf5d02b423e4bdd5e78df6a6c57 | def _parse(s, handler):
'Simple configuration parser.'
def stmts(obj, next, token):
'Process statements until EOF.'
while (token is not EOF):
token = assignlist(obj, next, token)
def assign(obj, next, token):
if (not isinstance(token, six.string_types)):
rai... | Simple configuration parser. | structprop/__init__.py | _parse | edgeware/structprop | 1 | python | def _parse(s, handler):
def stmts(obj, next, token):
'Process statements until EOF.'
while (token is not EOF):
token = assignlist(obj, next, token)
def assign(obj, next, token):
if (not isinstance(token, six.string_types)):
raise ParserError(("term expected... | def _parse(s, handler):
def stmts(obj, next, token):
'Process statements until EOF.'
while (token is not EOF):
token = assignlist(obj, next, token)
def assign(obj, next, token):
if (not isinstance(token, six.string_types)):
raise ParserError(("term expected... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.