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 |
|---|---|---|---|---|---|---|---|---|---|
5ec942de302d4d7d0fdd03d18f4cd427885a451848fa9561def295f1e1a0f890 | def register_report(name, implementation):
'\n Register a custom reporting function to be used during eval.\n\n This can be useful:\n - if you want to overwrite a report for an existing output type of prediction head (e.g. "per_token")\n - if you have a new type of prediction head and want to add a cust... | Register a custom reporting function to be used during eval.
This can be useful:
- if you want to overwrite a report for an existing output type of prediction head (e.g. "per_token")
- if you have a new type of prediction head and want to add a custom report for it
:param name: This must match the `ph_output_type` at... | farm/evaluation/metrics.py | register_report | tstadel/FARM | 1 | python | def register_report(name, implementation):
'\n Register a custom reporting function to be used during eval.\n\n This can be useful:\n - if you want to overwrite a report for an existing output type of prediction head (e.g. "per_token")\n - if you have a new type of prediction head and want to add a cust... | def register_report(name, implementation):
'\n Register a custom reporting function to be used during eval.\n\n This can be useful:\n - if you want to overwrite a report for an existing output type of prediction head (e.g. "per_token")\n - if you have a new type of prediction head and want to add a cust... |
3cbb73e6c01733a4e69a4b8d0f1408c8200a7f1dbc70e410767b27ee8a3e7f20 | def squad(preds, labels):
'\n This method calculates squad evaluation metrics a) overall, b) for questions with text answer and c) for questions with no answer\n '
overall_results = squad_base(preds, labels)
preds_answer = [pred for (pred, label) in zip(preds, labels) if (((- 1), (- 1)) not in label)]... | This method calculates squad evaluation metrics a) overall, b) for questions with text answer and c) for questions with no answer | farm/evaluation/metrics.py | squad | tstadel/FARM | 1 | python | def squad(preds, labels):
'\n \n '
overall_results = squad_base(preds, labels)
preds_answer = [pred for (pred, label) in zip(preds, labels) if (((- 1), (- 1)) not in label)]
labels_answer = [label for label in labels if (((- 1), (- 1)) not in label)]
answer_results = squad_base(preds_answer, l... | def squad(preds, labels):
'\n \n '
overall_results = squad_base(preds, labels)
preds_answer = [pred for (pred, label) in zip(preds, labels) if (((- 1), (- 1)) not in label)]
labels_answer = [label for label in labels if (((- 1), (- 1)) not in label)]
answer_results = squad_base(preds_answer, l... |
827c2e7eff633785bc571cc3b99bfe11c0c220bed665edc74292d7ea737f644e | def top_n_accuracy(preds, labels):
'\n This method calculates the percentage of documents for which the model makes top n accurate predictions.\n The definition of top n accurate a top n accurate prediction is as follows:\n For any given question document pair, there can be multiple predictions from the mo... | This method calculates the percentage of documents for which the model makes top n accurate predictions.
The definition of top n accurate a top n accurate prediction is as follows:
For any given question document pair, there can be multiple predictions from the model and multiple labels.
If any of those predictions ove... | farm/evaluation/metrics.py | top_n_accuracy | tstadel/FARM | 1 | python | def top_n_accuracy(preds, labels):
'\n This method calculates the percentage of documents for which the model makes top n accurate predictions.\n The definition of top n accurate a top n accurate prediction is as follows:\n For any given question document pair, there can be multiple predictions from the mo... | def top_n_accuracy(preds, labels):
'\n This method calculates the percentage of documents for which the model makes top n accurate predictions.\n The definition of top n accurate a top n accurate prediction is as follows:\n For any given question document pair, there can be multiple predictions from the mo... |
c3388a2dd4be76a85285023a8ca15eda8d2dec19b9aa833f5d9c2de925b445fb | def text_similarity_acc_and_f1(preds, labels):
'\n Returns accuracy and F1 scores for top-1(highest) ranked sequence(context/passage) for each sample/query\n\n :param preds: list of numpy arrays of dimension n1 x n2 containing n2 predicted ranks for n1 sequences/queries\n :type preds: List of numpy array c... | Returns accuracy and F1 scores for top-1(highest) ranked sequence(context/passage) for each sample/query
:param preds: list of numpy arrays of dimension n1 x n2 containing n2 predicted ranks for n1 sequences/queries
:type preds: List of numpy array containing similarity scores for each sequence in batch
:param labels:... | farm/evaluation/metrics.py | text_similarity_acc_and_f1 | tstadel/FARM | 1 | python | def text_similarity_acc_and_f1(preds, labels):
'\n Returns accuracy and F1 scores for top-1(highest) ranked sequence(context/passage) for each sample/query\n\n :param preds: list of numpy arrays of dimension n1 x n2 containing n2 predicted ranks for n1 sequences/queries\n :type preds: List of numpy array c... | def text_similarity_acc_and_f1(preds, labels):
'\n Returns accuracy and F1 scores for top-1(highest) ranked sequence(context/passage) for each sample/query\n\n :param preds: list of numpy arrays of dimension n1 x n2 containing n2 predicted ranks for n1 sequences/queries\n :type preds: List of numpy array c... |
0b92a05c235aed89ae974de0f221801a21aef16383e60de464a34c3601f9b367 | def text_similarity_avg_ranks(preds, labels):
'\n Calculates average predicted rank of positive sequence(context/passage) for each sample/query\n\n :param preds: list of numpy arrays of dimension n1 x n2 containing n2 predicted ranks for n1 sequences/queries\n :type preds: List of numpy array containing si... | Calculates average predicted rank of positive sequence(context/passage) for each sample/query
:param preds: list of numpy arrays of dimension n1 x n2 containing n2 predicted ranks for n1 sequences/queries
:type preds: List of numpy array containing similarity scores for each sequence in batch
:param labels: list of ar... | farm/evaluation/metrics.py | text_similarity_avg_ranks | tstadel/FARM | 1 | python | def text_similarity_avg_ranks(preds, labels):
'\n Calculates average predicted rank of positive sequence(context/passage) for each sample/query\n\n :param preds: list of numpy arrays of dimension n1 x n2 containing n2 predicted ranks for n1 sequences/queries\n :type preds: List of numpy array containing si... | def text_similarity_avg_ranks(preds, labels):
'\n Calculates average predicted rank of positive sequence(context/passage) for each sample/query\n\n :param preds: list of numpy arrays of dimension n1 x n2 containing n2 predicted ranks for n1 sequences/queries\n :type preds: List of numpy array containing si... |
7f9586c2f3fd9234f26164670ed5e4ec65ffaa4b8a4ad425c31cd0711c82d3e7 | def text_similarity_metric(preds, labels):
'\n Returns accuracy, F1 scores and average rank scores for text similarity task\n\n :param preds: list of numpy arrays of dimension n1 x n2 containing n2 predicted ranks for n1 sequences/queries\n :type preds: List of numpy array containing similarity scores for ... | Returns accuracy, F1 scores and average rank scores for text similarity task
:param preds: list of numpy arrays of dimension n1 x n2 containing n2 predicted ranks for n1 sequences/queries
:type preds: List of numpy array containing similarity scores for each sequence in batch
:param labels: list of arrays of dimension... | farm/evaluation/metrics.py | text_similarity_metric | tstadel/FARM | 1 | python | def text_similarity_metric(preds, labels):
'\n Returns accuracy, F1 scores and average rank scores for text similarity task\n\n :param preds: list of numpy arrays of dimension n1 x n2 containing n2 predicted ranks for n1 sequences/queries\n :type preds: List of numpy array containing similarity scores for ... | def text_similarity_metric(preds, labels):
'\n Returns accuracy, F1 scores and average rank scores for text similarity task\n\n :param preds: list of numpy arrays of dimension n1 x n2 containing n2 predicted ranks for n1 sequences/queries\n :type preds: List of numpy array containing similarity scores for ... |
269f184e814d38c426159181557f309e8d63eb2480704fcab278a6060322c2a9 | def __init__(self, name, path, shelves):
'\n :param name: = human readable app name - ex -"Painter"\n :param path: = base dir which contains executable - ex: "C:/Program Files/Allegorithmic/Substance Painter 2"\n :param shelves: = [shelf location strings]\n '
self.name = name
sel... | :param name: = human readable app name - ex -"Painter"
:param path: = base dir which contains executable - ex: "C:/Program Files/Allegorithmic/Substance Painter 2"
:param shelves: = [shelf location strings] | templates/app.py | __init__ | pwentrys/SubstanceHelpers | 2 | python | def __init__(self, name, path, shelves):
'\n :param name: = human readable app name - ex -"Painter"\n :param path: = base dir which contains executable - ex: "C:/Program Files/Allegorithmic/Substance Painter 2"\n :param shelves: = [shelf location strings]\n '
self.name = name
sel... | def __init__(self, name, path, shelves):
'\n :param name: = human readable app name - ex -"Painter"\n :param path: = base dir which contains executable - ex: "C:/Program Files/Allegorithmic/Substance Painter 2"\n :param shelves: = [shelf location strings]\n '
self.name = name
sel... |
acfed3f8622c2d65035f9617ef38c8dbd00781fcf40c7629ca97902cf301ff0f | def hIndex(self, citations):
'\n :type citations: List[int]\n :rtype: int\n '
if (not citations):
return 0
if (len(citations) == 1):
if (citations[0] > 0):
return 1
else:
return 0
citations.sort(reverse=True)
index = 1
while (i... | :type citations: List[int]
:rtype: int | leetcode/274.H指数.py | hIndex | ResolveWang/algorithm_qa | 79 | python | def hIndex(self, citations):
'\n :type citations: List[int]\n :rtype: int\n '
if (not citations):
return 0
if (len(citations) == 1):
if (citations[0] > 0):
return 1
else:
return 0
citations.sort(reverse=True)
index = 1
while (i... | def hIndex(self, citations):
'\n :type citations: List[int]\n :rtype: int\n '
if (not citations):
return 0
if (len(citations) == 1):
if (citations[0] > 0):
return 1
else:
return 0
citations.sort(reverse=True)
index = 1
while (i... |
57e47181f02c64fbed8f34a48a415627e4424cb160e080deb9b6f56c27fa422d | def __init__(self, keep_recent=10, keep_freq=0.5, checkpoint_dir=None, var_collections=tf.GraphKeys.GLOBAL_VARIABLES):
'\n Args:\n keep_recent(int): see ``tf.train.Saver`` documentation.\n keep_freq(int): see ``tf.train.Saver`` documentation.\n checkpoint_dir (str): Defaults ... | Args:
keep_recent(int): see ``tf.train.Saver`` documentation.
keep_freq(int): see ``tf.train.Saver`` documentation.
checkpoint_dir (str): Defaults to ``logger.LOG_DIR``.
var_collections (str or list of str): collection of the variables (or list of collections) to save. | multilstm_tensorpack/tensorpack/callbacks/saver.py | __init__ | neale/A4C | 1 | python | def __init__(self, keep_recent=10, keep_freq=0.5, checkpoint_dir=None, var_collections=tf.GraphKeys.GLOBAL_VARIABLES):
'\n Args:\n keep_recent(int): see ``tf.train.Saver`` documentation.\n keep_freq(int): see ``tf.train.Saver`` documentation.\n checkpoint_dir (str): Defaults ... | def __init__(self, keep_recent=10, keep_freq=0.5, checkpoint_dir=None, var_collections=tf.GraphKeys.GLOBAL_VARIABLES):
'\n Args:\n keep_recent(int): see ``tf.train.Saver`` documentation.\n keep_freq(int): see ``tf.train.Saver`` documentation.\n checkpoint_dir (str): Defaults ... |
96ec18937076e6971c4dc0e547817385fbdb5000dbde4c9dc0bb04eb2e27c477 | def __init__(self, monitor_stat, reverse=False, filename=None):
'\n Args:\n monitor_stat(str): the name of the statistics.\n reverse (bool): if True, will save the maximum.\n filename (str): the name for the saved model.\n Defaults to ``min-{monitor_stat}.tfmod... | Args:
monitor_stat(str): the name of the statistics.
reverse (bool): if True, will save the maximum.
filename (str): the name for the saved model.
Defaults to ``min-{monitor_stat}.tfmodel``.
Example:
Save the model with minimum validation error to
"min-val-error.tfmodel":
.. code-block... | multilstm_tensorpack/tensorpack/callbacks/saver.py | __init__ | neale/A4C | 1 | python | def __init__(self, monitor_stat, reverse=False, filename=None):
'\n Args:\n monitor_stat(str): the name of the statistics.\n reverse (bool): if True, will save the maximum.\n filename (str): the name for the saved model.\n Defaults to ``min-{monitor_stat}.tfmod... | def __init__(self, monitor_stat, reverse=False, filename=None):
'\n Args:\n monitor_stat(str): the name of the statistics.\n reverse (bool): if True, will save the maximum.\n filename (str): the name for the saved model.\n Defaults to ``min-{monitor_stat}.tfmod... |
e596330ed466eb711434bea2902cc7bea8e8e374734aa1c4d2a08d2408934256 | def __init__(self, monitor_stat, filename=None):
'\n Args:\n monitor_stat(str): the name of the statistics.\n filename (str): the name for the saved model.\n Defaults to ``max-{monitor_stat}.tfmodel``.\n '
super(MaxSaver, self).__init__(monitor_stat, True, file... | Args:
monitor_stat(str): the name of the statistics.
filename (str): the name for the saved model.
Defaults to ``max-{monitor_stat}.tfmodel``. | multilstm_tensorpack/tensorpack/callbacks/saver.py | __init__ | neale/A4C | 1 | python | def __init__(self, monitor_stat, filename=None):
'\n Args:\n monitor_stat(str): the name of the statistics.\n filename (str): the name for the saved model.\n Defaults to ``max-{monitor_stat}.tfmodel``.\n '
super(MaxSaver, self).__init__(monitor_stat, True, file... | def __init__(self, monitor_stat, filename=None):
'\n Args:\n monitor_stat(str): the name of the statistics.\n filename (str): the name for the saved model.\n Defaults to ``max-{monitor_stat}.tfmodel``.\n '
super(MaxSaver, self).__init__(monitor_stat, True, file... |
b8e9efa04c78e86d306c109298d52d04bfc5177f6f87c1d01d8cb3ec9d5cca64 | def __init__(self, node_def, op, message, error_code):
'Creates a new OpError indicating that a particular op failed.\n\n Args:\n node_def: The graph_pb2.NodeDef proto representing the op that failed.\n op: The ops.Operation that failed, if known; otherwise None.\n message: The message string desc... | Creates a new OpError indicating that a particular op failed.
Args:
node_def: The graph_pb2.NodeDef proto representing the op that failed.
op: The ops.Operation that failed, if known; otherwise None.
message: The message string describing the failure.
error_code: The error_codes_pb2.Code describing the error. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message, error_code):
'Creates a new OpError indicating that a particular op failed.\n\n Args:\n node_def: The graph_pb2.NodeDef proto representing the op that failed.\n op: The ops.Operation that failed, if known; otherwise None.\n message: The message string desc... | def __init__(self, node_def, op, message, error_code):
'Creates a new OpError indicating that a particular op failed.\n\n Args:\n node_def: The graph_pb2.NodeDef proto representing the op that failed.\n op: The ops.Operation that failed, if known; otherwise None.\n message: The message string desc... |
c1fe98bc091628c94b30295d3b446eed16229af499847e94f59edbaa80e44317 | @property
def message(self):
'The error message that describes the error.'
return self._message | The error message that describes the error. | tensorflow/python/framework/errors.py | message | MikalaiDrabovich/tensorflow | 4 | python | @property
def message(self):
return self._message | @property
def message(self):
return self._message<|docstring|>The error message that describes the error.<|endoftext|> |
0b1025abfad585fcb62cab105ce05a15ec6ac0cc7f7c3c42ea66940cb0280f21 | @property
def op(self):
'The operation that failed, if known.\n\n *N.B.* If the failed op was synthesized at runtime, e.g. a `Send`\n or `Recv` op, there will be no corresponding\n [`Operation`](../../api_docs/python/framework.md#Operation) object. In that case, this\n will return `None`, and you shoul... | The operation that failed, if known.
*N.B.* If the failed op was synthesized at runtime, e.g. a `Send`
or `Recv` op, there will be no corresponding
[`Operation`](../../api_docs/python/framework.md#Operation) object. In that case, this
will return `None`, and you should instead use the
[`OpError.node_def`](#OpError.no... | tensorflow/python/framework/errors.py | op | MikalaiDrabovich/tensorflow | 4 | python | @property
def op(self):
'The operation that failed, if known.\n\n *N.B.* If the failed op was synthesized at runtime, e.g. a `Send`\n or `Recv` op, there will be no corresponding\n [`Operation`](../../api_docs/python/framework.md#Operation) object. In that case, this\n will return `None`, and you shoul... | @property
def op(self):
'The operation that failed, if known.\n\n *N.B.* If the failed op was synthesized at runtime, e.g. a `Send`\n or `Recv` op, there will be no corresponding\n [`Operation`](../../api_docs/python/framework.md#Operation) object. In that case, this\n will return `None`, and you shoul... |
da9e2d27410b6fc6216ac00699550735bfe45143b9c747114c63e2a58008bdb6 | @property
def error_code(self):
'The integer error code that describes the error.'
return self._error_code | The integer error code that describes the error. | tensorflow/python/framework/errors.py | error_code | MikalaiDrabovich/tensorflow | 4 | python | @property
def error_code(self):
return self._error_code | @property
def error_code(self):
return self._error_code<|docstring|>The integer error code that describes the error.<|endoftext|> |
2635843855cf0f3a9dd651b0bfb98c325d887b81107426675dfc970590386ef2 | @property
def node_def(self):
'The `NodeDef` proto representing the op that failed.'
return self._node_def | The `NodeDef` proto representing the op that failed. | tensorflow/python/framework/errors.py | node_def | MikalaiDrabovich/tensorflow | 4 | python | @property
def node_def(self):
return self._node_def | @property
def node_def(self):
return self._node_def<|docstring|>The `NodeDef` proto representing the op that failed.<|endoftext|> |
842b57470e91f49ceec4cec9df8f32650be2a1803a56c05d1c4d5cf1eeff3a48 | def __init__(self, node_def, op, message):
'Creates a `CancelledError`.'
super(CancelledError, self).__init__(node_def, op, message, CANCELLED) | Creates a `CancelledError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(CancelledError, self).__init__(node_def, op, message, CANCELLED) | def __init__(self, node_def, op, message):
super(CancelledError, self).__init__(node_def, op, message, CANCELLED)<|docstring|>Creates a `CancelledError`.<|endoftext|> |
6e8aa272c8c45e6440e943d6441e391c5c77c8781a939a5f2cf8228438f97efe | def __init__(self, node_def, op, message, error_code=UNKNOWN):
'Creates an `UnknownError`.'
super(UnknownError, self).__init__(node_def, op, message, error_code) | Creates an `UnknownError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message, error_code=UNKNOWN):
super(UnknownError, self).__init__(node_def, op, message, error_code) | def __init__(self, node_def, op, message, error_code=UNKNOWN):
super(UnknownError, self).__init__(node_def, op, message, error_code)<|docstring|>Creates an `UnknownError`.<|endoftext|> |
c831835b070859e70cfe1f249a6ba3ef1e821e28fc157f0646e91a16ed7d5fc4 | def __init__(self, node_def, op, message):
'Creates an `InvalidArgumentError`.'
super(InvalidArgumentError, self).__init__(node_def, op, message, INVALID_ARGUMENT) | Creates an `InvalidArgumentError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(InvalidArgumentError, self).__init__(node_def, op, message, INVALID_ARGUMENT) | def __init__(self, node_def, op, message):
super(InvalidArgumentError, self).__init__(node_def, op, message, INVALID_ARGUMENT)<|docstring|>Creates an `InvalidArgumentError`.<|endoftext|> |
18ba56508ab2e71d08c4dcf5b30e5eb6042c54734c524b4c54cadffe081f2ccf | def __init__(self, node_def, op, message):
'Creates a `DeadlineExceededError`.'
super(DeadlineExceededError, self).__init__(node_def, op, message, DEADLINE_EXCEEDED) | Creates a `DeadlineExceededError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(DeadlineExceededError, self).__init__(node_def, op, message, DEADLINE_EXCEEDED) | def __init__(self, node_def, op, message):
super(DeadlineExceededError, self).__init__(node_def, op, message, DEADLINE_EXCEEDED)<|docstring|>Creates a `DeadlineExceededError`.<|endoftext|> |
48d57263cc245ca9228ca11f70760b0ec1241a0ee47cab504000b1cb4a85be26 | def __init__(self, node_def, op, message):
'Creates a `NotFoundError`.'
super(NotFoundError, self).__init__(node_def, op, message, NOT_FOUND) | Creates a `NotFoundError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(NotFoundError, self).__init__(node_def, op, message, NOT_FOUND) | def __init__(self, node_def, op, message):
super(NotFoundError, self).__init__(node_def, op, message, NOT_FOUND)<|docstring|>Creates a `NotFoundError`.<|endoftext|> |
f671ce39622e0cc85f49bd486ba9f998f9b838e1180e8564cb46a1dd58283548 | def __init__(self, node_def, op, message):
'Creates an `AlreadyExistsError`.'
super(AlreadyExistsError, self).__init__(node_def, op, message, ALREADY_EXISTS) | Creates an `AlreadyExistsError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(AlreadyExistsError, self).__init__(node_def, op, message, ALREADY_EXISTS) | def __init__(self, node_def, op, message):
super(AlreadyExistsError, self).__init__(node_def, op, message, ALREADY_EXISTS)<|docstring|>Creates an `AlreadyExistsError`.<|endoftext|> |
d9b6c4bd1ad83db37026cf92e747753dba9c5e3e4172f44d7db58a49e4b164e2 | def __init__(self, node_def, op, message):
'Creates a `PermissionDeniedError`.'
super(PermissionDeniedError, self).__init__(node_def, op, message, PERMISSION_DENIED) | Creates a `PermissionDeniedError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(PermissionDeniedError, self).__init__(node_def, op, message, PERMISSION_DENIED) | def __init__(self, node_def, op, message):
super(PermissionDeniedError, self).__init__(node_def, op, message, PERMISSION_DENIED)<|docstring|>Creates a `PermissionDeniedError`.<|endoftext|> |
1e97a59976ece5f15fa47db3c977252dbe8c5431c6dde36f2a5b263337eb8535 | def __init__(self, node_def, op, message):
'Creates an `UnauthenticatedError`.'
super(UnauthenticatedError, self).__init__(node_def, op, message, UNAUTHENTICATED) | Creates an `UnauthenticatedError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(UnauthenticatedError, self).__init__(node_def, op, message, UNAUTHENTICATED) | def __init__(self, node_def, op, message):
super(UnauthenticatedError, self).__init__(node_def, op, message, UNAUTHENTICATED)<|docstring|>Creates an `UnauthenticatedError`.<|endoftext|> |
c63c25f7fab630297fcd71c9d51c5ea959ec8d97a77a4375dcccb68c393cd257 | def __init__(self, node_def, op, message):
'Creates a `ResourceExhaustedError`.'
super(ResourceExhaustedError, self).__init__(node_def, op, message, RESOURCE_EXHAUSTED) | Creates a `ResourceExhaustedError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(ResourceExhaustedError, self).__init__(node_def, op, message, RESOURCE_EXHAUSTED) | def __init__(self, node_def, op, message):
super(ResourceExhaustedError, self).__init__(node_def, op, message, RESOURCE_EXHAUSTED)<|docstring|>Creates a `ResourceExhaustedError`.<|endoftext|> |
72af08ce327f9fd3ab2b3b22b8f1722dfa1c385e0d6dae23123e05827b3d1324 | def __init__(self, node_def, op, message):
'Creates a `FailedPreconditionError`.'
super(FailedPreconditionError, self).__init__(node_def, op, message, FAILED_PRECONDITION) | Creates a `FailedPreconditionError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(FailedPreconditionError, self).__init__(node_def, op, message, FAILED_PRECONDITION) | def __init__(self, node_def, op, message):
super(FailedPreconditionError, self).__init__(node_def, op, message, FAILED_PRECONDITION)<|docstring|>Creates a `FailedPreconditionError`.<|endoftext|> |
9a2b0a69b30b1a9ec5fb24eed4d32337a83f12c57429aafb8ef90114e97de7f8 | def __init__(self, node_def, op, message):
'Creates an `AbortedError`.'
super(AbortedError, self).__init__(node_def, op, message, ABORTED) | Creates an `AbortedError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(AbortedError, self).__init__(node_def, op, message, ABORTED) | def __init__(self, node_def, op, message):
super(AbortedError, self).__init__(node_def, op, message, ABORTED)<|docstring|>Creates an `AbortedError`.<|endoftext|> |
b3ae4c65c026910dbddecef591763eee5f5ce9f4334f0c5bc230449f3e617852 | def __init__(self, node_def, op, message):
'Creates an `OutOfRangeError`.'
super(OutOfRangeError, self).__init__(node_def, op, message, OUT_OF_RANGE) | Creates an `OutOfRangeError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(OutOfRangeError, self).__init__(node_def, op, message, OUT_OF_RANGE) | def __init__(self, node_def, op, message):
super(OutOfRangeError, self).__init__(node_def, op, message, OUT_OF_RANGE)<|docstring|>Creates an `OutOfRangeError`.<|endoftext|> |
eb238eefcc61e7d71e961a2631ff543c61112661aab0594c2344e72e0953f89a | def __init__(self, node_def, op, message):
'Creates an `UnimplementedError`.'
super(UnimplementedError, self).__init__(node_def, op, message, UNIMPLEMENTED) | Creates an `UnimplementedError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(UnimplementedError, self).__init__(node_def, op, message, UNIMPLEMENTED) | def __init__(self, node_def, op, message):
super(UnimplementedError, self).__init__(node_def, op, message, UNIMPLEMENTED)<|docstring|>Creates an `UnimplementedError`.<|endoftext|> |
fba52d62a3775ed063340527c2385f2ff450470cdd5130f6fae7cf070fb3ca5f | def __init__(self, node_def, op, message):
'Creates an `InternalError`.'
super(InternalError, self).__init__(node_def, op, message, INTERNAL) | Creates an `InternalError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(InternalError, self).__init__(node_def, op, message, INTERNAL) | def __init__(self, node_def, op, message):
super(InternalError, self).__init__(node_def, op, message, INTERNAL)<|docstring|>Creates an `InternalError`.<|endoftext|> |
3d68f98e089e3f1f5a430559bf78c25ed835caca3b6f57bccfafe04b8bf47193 | def __init__(self, node_def, op, message):
'Creates an `UnavailableError`.'
super(UnavailableError, self).__init__(node_def, op, message, UNAVAILABLE) | Creates an `UnavailableError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(UnavailableError, self).__init__(node_def, op, message, UNAVAILABLE) | def __init__(self, node_def, op, message):
super(UnavailableError, self).__init__(node_def, op, message, UNAVAILABLE)<|docstring|>Creates an `UnavailableError`.<|endoftext|> |
ff60827f7f67a20db888229180c661f405b0f10e3b4030d5d833e30b641dab17 | def __init__(self, node_def, op, message):
'Creates a `DataLossError`.'
super(DataLossError, self).__init__(node_def, op, message, DATA_LOSS) | Creates a `DataLossError`. | tensorflow/python/framework/errors.py | __init__ | MikalaiDrabovich/tensorflow | 4 | python | def __init__(self, node_def, op, message):
super(DataLossError, self).__init__(node_def, op, message, DATA_LOSS) | def __init__(self, node_def, op, message):
super(DataLossError, self).__init__(node_def, op, message, DATA_LOSS)<|docstring|>Creates a `DataLossError`.<|endoftext|> |
1d25701856510559ede1a6d1a5c68c422632056900e3022bce629c16bad969fc | def get_refit_filename(lo_which_comb):
'Get a refit filename using the specified arguments.\n '
return saving_gmm_utils.get_refit_filename(df=args.df, degree=args.degree, num_components=gmm.num_components, lo_num_times=args.lo_num_times, lo_which_comb=lo_which_comb, lo_max_num_timepoints=args.lo_max_num_... | Get a refit filename using the specified arguments. | genomics/cluster_scripts/calculate_prediction_errors.py | get_refit_filename | rgiordan/AISTATS2019SwissArmyIJ | 6 | python | def get_refit_filename(lo_which_comb):
'\n '
return saving_gmm_utils.get_refit_filename(df=args.df, degree=args.degree, num_components=gmm.num_components, lo_num_times=args.lo_num_times, lo_which_comb=lo_which_comb, lo_max_num_timepoints=args.lo_max_num_timepoints, init_method=args.init_method) | def get_refit_filename(lo_which_comb):
'\n '
return saving_gmm_utils.get_refit_filename(df=args.df, degree=args.degree, num_components=gmm.num_components, lo_num_times=args.lo_num_times, lo_which_comb=lo_which_comb, lo_max_num_timepoints=args.lo_max_num_timepoints, init_method=args.init_method)<|docstrin... |
5c769afd78fce44dd00692fcaa3e798086a422a672c736c6642e137fc8ccde9e | def ZZZ(self):
'hardcoded/mock instance of the class'
return ExporterEventKind() | hardcoded/mock instance of the class | release/stubs.min/System/Runtime/InteropServices/__init___parts/ExporterEventKind.py | ZZZ | tranconbv/ironpython-stubs | 0 | python | def ZZZ(self):
return ExporterEventKind() | def ZZZ(self):
return ExporterEventKind()<|docstring|>hardcoded/mock instance of the class<|endoftext|> |
c7f27d24ea4959e4c997eaff22d7d1bf4a38bb10ba31458b90069eef5ea6eed0 | def __eq__(self, *args):
' x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y '
pass | x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y | release/stubs.min/System/Runtime/InteropServices/__init___parts/ExporterEventKind.py | __eq__ | tranconbv/ironpython-stubs | 0 | python | def __eq__(self, *args):
' '
pass | def __eq__(self, *args):
' '
pass<|docstring|>x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y<|endoftext|> |
ada11d26366342d19ddf94f50604d65258a36c58cfc3ac043990b0b26b3c935d | def __format__(self, *args):
' __format__(formattable: IFormattable,format: str) -> str '
pass | __format__(formattable: IFormattable,format: str) -> str | release/stubs.min/System/Runtime/InteropServices/__init___parts/ExporterEventKind.py | __format__ | tranconbv/ironpython-stubs | 0 | python | def __format__(self, *args):
' '
pass | def __format__(self, *args):
' '
pass<|docstring|>__format__(formattable: IFormattable,format: str) -> str<|endoftext|> |
32b5271afcd5ecc37febb67dd854fa2d1b2c4c68b2c41d2ec119d33157e9bbaa | def __init__(self, *args):
' x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature '
pass | x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature | release/stubs.min/System/Runtime/InteropServices/__init___parts/ExporterEventKind.py | __init__ | tranconbv/ironpython-stubs | 0 | python | def __init__(self, *args):
' '
pass | def __init__(self, *args):
' '
pass<|docstring|>x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature<|endoftext|> |
ce386cc7f3d16b79f88f42e71fda135265291583305fc4ee8331c951f76154ff | def davis_wetmask(X, Y):
'The wet mask for a recreation of Davis et al. (2014).'
wetmask = np.zeros(X.shape, dtype=np.float64)
wetmask[((((Y - 1965000.0) ** 2) + ((X - 765000.0) ** 2)) < (750000.0 ** 2))] = 1
wetmask[(((X - 765000.0) ** 2) < (75000.0 ** 2))] = 1
wetmask[(Y < 780000.0)] = 1
wetma... | The wet mask for a recreation of Davis et al. (2014). | reproductions/run_davis_et_al_2014.py | davis_wetmask | edoddridge/aronnax | 17 | python | def davis_wetmask(X, Y):
wetmask = np.zeros(X.shape, dtype=np.float64)
wetmask[((((Y - 1965000.0) ** 2) + ((X - 765000.0) ** 2)) < (750000.0 ** 2))] = 1
wetmask[(((X - 765000.0) ** 2) < (75000.0 ** 2))] = 1
wetmask[(Y < 780000.0)] = 1
wetmask[(0, :)] = 0
wetmask[((- 1), :)] = 0
wetmask[... | def davis_wetmask(X, Y):
wetmask = np.zeros(X.shape, dtype=np.float64)
wetmask[((((Y - 1965000.0) ** 2) + ((X - 765000.0) ** 2)) < (750000.0 ** 2))] = 1
wetmask[(((X - 765000.0) ** 2) < (75000.0 ** 2))] = 1
wetmask[(Y < 780000.0)] = 1
wetmask[(0, :)] = 0
wetmask[((- 1), :)] = 0
wetmask[... |
16a0679f60744b09d8e4ff6b6e18bc77093237022f9f709315cbfdf95520e62e | def davis_sponge_h_timescale(X, Y):
'Produce the sponge timescale file used by Davis et al. (2014).'
sponge_h_timescale = np.zeros(X.shape, dtype=np.float64)
sponge_h_timescale[(Y < 480000.0)] = (1 / ((1.0 * 30.0) * 86400.0))
plt.figure()
plt.pcolormesh(X, Y, ((sponge_h_timescale * 86400.0) * 30.0))... | Produce the sponge timescale file used by Davis et al. (2014). | reproductions/run_davis_et_al_2014.py | davis_sponge_h_timescale | edoddridge/aronnax | 17 | python | def davis_sponge_h_timescale(X, Y):
sponge_h_timescale = np.zeros(X.shape, dtype=np.float64)
sponge_h_timescale[(Y < 480000.0)] = (1 / ((1.0 * 30.0) * 86400.0))
plt.figure()
plt.pcolormesh(X, Y, ((sponge_h_timescale * 86400.0) * 30.0))
plt.colorbar()
plt.axes().set_aspect('equal', 'datalim'... | def davis_sponge_h_timescale(X, Y):
sponge_h_timescale = np.zeros(X.shape, dtype=np.float64)
sponge_h_timescale[(Y < 480000.0)] = (1 / ((1.0 * 30.0) * 86400.0))
plt.figure()
plt.pcolormesh(X, Y, ((sponge_h_timescale * 86400.0) * 30.0))
plt.colorbar()
plt.axes().set_aspect('equal', 'datalim'... |
202f28d672d2116cb1952db859ab1ea678b943eb1a8c7030777ded96ab00729d | def davis_sponge_h(X, Y):
'Produce the sponge file used by Davis et al. (2014).'
sponge_h = (400.0 * np.ones(X.shape, dtype=np.float64))
plt.figure()
plt.pcolormesh(X, Y, sponge_h)
plt.colorbar()
plt.axes().set_aspect('equal', 'datalim')
plt.savefig('sponge_h.png', dpi=150)
plt.close()
... | Produce the sponge file used by Davis et al. (2014). | reproductions/run_davis_et_al_2014.py | davis_sponge_h | edoddridge/aronnax | 17 | python | def davis_sponge_h(X, Y):
sponge_h = (400.0 * np.ones(X.shape, dtype=np.float64))
plt.figure()
plt.pcolormesh(X, Y, sponge_h)
plt.colorbar()
plt.axes().set_aspect('equal', 'datalim')
plt.savefig('sponge_h.png', dpi=150)
plt.close()
return sponge_h | def davis_sponge_h(X, Y):
sponge_h = (400.0 * np.ones(X.shape, dtype=np.float64))
plt.figure()
plt.pcolormesh(X, Y, sponge_h)
plt.colorbar()
plt.axes().set_aspect('equal', 'datalim')
plt.savefig('sponge_h.png', dpi=150)
plt.close()
return sponge_h<|docstring|>Produce the sponge file... |
0548a9296da10d214520dbaf248c2eb0080b0df16975edf0cc905799f4c0c586 | def block_split(X, Y, out):
'\n Split the data training and testing\n :return: X (data) and Y (label) for training / testing\n '
num_samples = X.shape[0]
if (out == 'svhn'):
partition = 26032
else:
partition = 10000
(X_adv, Y_adv) = (X[:partition], Y[:partition])
(X_norm... | Split the data training and testing
:return: X (data) and Y (label) for training / testing | expts/detectors/deep_mahalanobis/lib_regression.py | block_split | jayaram-r/adversarial-detection | 12 | python | def block_split(X, Y, out):
'\n Split the data training and testing\n :return: X (data) and Y (label) for training / testing\n '
num_samples = X.shape[0]
if (out == 'svhn'):
partition = 26032
else:
partition = 10000
(X_adv, Y_adv) = (X[:partition], Y[:partition])
(X_norm... | def block_split(X, Y, out):
'\n Split the data training and testing\n :return: X (data) and Y (label) for training / testing\n '
num_samples = X.shape[0]
if (out == 'svhn'):
partition = 26032
else:
partition = 10000
(X_adv, Y_adv) = (X[:partition], Y[:partition])
(X_norm... |
93f703a808e1bcae33e4412c8d31b4430b08fa0f324ba059140f732c19ff77dd | def block_split_adv(X, Y):
'\n Split the data training and testing\n :return: X (data) and Y (label) for training / testing\n '
num_samples = X.shape[0]
partition = int((num_samples / 3))
(X_adv, Y_adv) = (X[:partition], Y[:partition])
(X_norm, Y_norm) = (X[partition:(2 * partition)], Y[par... | Split the data training and testing
:return: X (data) and Y (label) for training / testing | expts/detectors/deep_mahalanobis/lib_regression.py | block_split_adv | jayaram-r/adversarial-detection | 12 | python | def block_split_adv(X, Y):
'\n Split the data training and testing\n :return: X (data) and Y (label) for training / testing\n '
num_samples = X.shape[0]
partition = int((num_samples / 3))
(X_adv, Y_adv) = (X[:partition], Y[:partition])
(X_norm, Y_norm) = (X[partition:(2 * partition)], Y[par... | def block_split_adv(X, Y):
'\n Split the data training and testing\n :return: X (data) and Y (label) for training / testing\n '
num_samples = X.shape[0]
partition = int((num_samples / 3))
(X_adv, Y_adv) = (X[:partition], Y[:partition])
(X_norm, Y_norm) = (X[partition:(2 * partition)], Y[par... |
b36c6ff025e1ca17c0d9eb74b453271a238679abfe38dd8d4a9fcc2062901d31 | def detection_performance(regressor, X, Y, outf):
'\n Measure the detection performance\n return: detection metrics\n '
num_samples = X.shape[0]
l1 = open(('%s/confidence_TMP_In.txt' % outf), 'w')
l2 = open(('%s/confidence_TMP_Out.txt' % outf), 'w')
y_pred = regressor.predict_proba(X)[(:, 1... | Measure the detection performance
return: detection metrics | expts/detectors/deep_mahalanobis/lib_regression.py | detection_performance | jayaram-r/adversarial-detection | 12 | python | def detection_performance(regressor, X, Y, outf):
'\n Measure the detection performance\n return: detection metrics\n '
num_samples = X.shape[0]
l1 = open(('%s/confidence_TMP_In.txt' % outf), 'w')
l2 = open(('%s/confidence_TMP_Out.txt' % outf), 'w')
y_pred = regressor.predict_proba(X)[(:, 1... | def detection_performance(regressor, X, Y, outf):
'\n Measure the detection performance\n return: detection metrics\n '
num_samples = X.shape[0]
l1 = open(('%s/confidence_TMP_In.txt' % outf), 'w')
l2 = open(('%s/confidence_TMP_Out.txt' % outf), 'w')
y_pred = regressor.predict_proba(X)[(:, 1... |
5af5f234a485dee66be1b51a83f89f2aac1385b64c6613f6a184b7ab543f01f8 | def load_characteristics(score, dataset, out_type, outf):
'\n Load the calculated scores\n return: data and label of input score\n '
(X, Y) = (None, None)
file_name = os.path.join(outf, ('%s_%s_%s.npy' % (score, dataset, out_type)))
data = np.load(file_name)
if (X is None):
X = data... | Load the calculated scores
return: data and label of input score | expts/detectors/deep_mahalanobis/lib_regression.py | load_characteristics | jayaram-r/adversarial-detection | 12 | python | def load_characteristics(score, dataset, out_type, outf):
'\n Load the calculated scores\n return: data and label of input score\n '
(X, Y) = (None, None)
file_name = os.path.join(outf, ('%s_%s_%s.npy' % (score, dataset, out_type)))
data = np.load(file_name)
if (X is None):
X = data... | def load_characteristics(score, dataset, out_type, outf):
'\n Load the calculated scores\n return: data and label of input score\n '
(X, Y) = (None, None)
file_name = os.path.join(outf, ('%s_%s_%s.npy' % (score, dataset, out_type)))
data = np.load(file_name)
if (X is None):
X = data... |
93959c104048130cb46c82ecea94aca2cd8f981088b62dd1ea09b4469207f53a | def make_item() -> pystac.Item:
'Create basic test items that are only slightly different.'
asset_id = 'an/asset'
start = datetime.datetime(2018, 1, 2)
item = pystac.Item(id=asset_id, geometry=None, bbox=None, datetime=start, properties={})
item.ext.enable(pystac.Extensions.SAT)
return item | Create basic test items that are only slightly different. | tests/extensions/test_sat.py | make_item | kylebarron/pystac | 0 | python | def make_item() -> pystac.Item:
asset_id = 'an/asset'
start = datetime.datetime(2018, 1, 2)
item = pystac.Item(id=asset_id, geometry=None, bbox=None, datetime=start, properties={})
item.ext.enable(pystac.Extensions.SAT)
return item | def make_item() -> pystac.Item:
asset_id = 'an/asset'
start = datetime.datetime(2018, 1, 2)
item = pystac.Item(id=asset_id, geometry=None, bbox=None, datetime=start, properties={})
item.ext.enable(pystac.Extensions.SAT)
return item<|docstring|>Create basic test items that are only slightly diff... |
9a2be209938811e722db29da1f0e7082ae8ea87066f3b979c880c9ea67a063e9 | def helper(self, lists: List[ListNode], l: int, r: int) -> ListNode:
'\n 递归帮助类\n Args:\n lists: 链表\n l: 坐标\n r: 右边\n Returns:\n 合并后链表\n '
if (l == r):
return lists[l]
mid = ((l + r) / 2)
return self.merge(self.helper(list... | 递归帮助类
Args:
lists: 链表
l: 坐标
r: 右边
Returns:
合并后链表 | src/leetcodepython/top100likedquestions/merge_k_sorted_lists_23.py | helper | zhangyu345293721/leetcode | 90 | python | def helper(self, lists: List[ListNode], l: int, r: int) -> ListNode:
'\n 递归帮助类\n Args:\n lists: 链表\n l: 坐标\n r: 右边\n Returns:\n 合并后链表\n '
if (l == r):
return lists[l]
mid = ((l + r) / 2)
return self.merge(self.helper(list... | def helper(self, lists: List[ListNode], l: int, r: int) -> ListNode:
'\n 递归帮助类\n Args:\n lists: 链表\n l: 坐标\n r: 右边\n Returns:\n 合并后链表\n '
if (l == r):
return lists[l]
mid = ((l + r) / 2)
return self.merge(self.helper(list... |
8aae565e2485f538ae6e8a86d1488cfc44e0475739f645d29900e31fc7e116ac | def merge_k_list(self, lists: List[ListNode]) -> ListNode:
'\n 熟悉合并链表\n Args:\n lists:链表\n Returns:\n 合并后的list\n '
if (not lists):
return None
return self.helper(lists, 0, (len(lists) - 1)) | 熟悉合并链表
Args:
lists:链表
Returns:
合并后的list | src/leetcodepython/top100likedquestions/merge_k_sorted_lists_23.py | merge_k_list | zhangyu345293721/leetcode | 90 | python | def merge_k_list(self, lists: List[ListNode]) -> ListNode:
'\n 熟悉合并链表\n Args:\n lists:链表\n Returns:\n 合并后的list\n '
if (not lists):
return None
return self.helper(lists, 0, (len(lists) - 1)) | def merge_k_list(self, lists: List[ListNode]) -> ListNode:
'\n 熟悉合并链表\n Args:\n lists:链表\n Returns:\n 合并后的list\n '
if (not lists):
return None
return self.helper(lists, 0, (len(lists) - 1))<|docstring|>熟悉合并链表
Args:
lists:链表
Returns:
合并后的l... |
ceda21a06ed3a1292051511571ca43ade16b6304bf461872e3471d0f924b10c0 | def merge_k_lists2(self, lists: List[ListNode]) -> ListNode:
'\n 熟悉合并链表\n Args:\n lists:链表\n Returns:\n 合并后的list\n '
dummy = ListNode((- 1))
p = dummy
head = []
k = len(lists)
for i in range(k):
if lists[i]:
heapq.heappush(head,... | 熟悉合并链表
Args:
lists:链表
Returns:
合并后的list | src/leetcodepython/top100likedquestions/merge_k_sorted_lists_23.py | merge_k_lists2 | zhangyu345293721/leetcode | 90 | python | def merge_k_lists2(self, lists: List[ListNode]) -> ListNode:
'\n 熟悉合并链表\n Args:\n lists:链表\n Returns:\n 合并后的list\n '
dummy = ListNode((- 1))
p = dummy
head = []
k = len(lists)
for i in range(k):
if lists[i]:
heapq.heappush(head,... | def merge_k_lists2(self, lists: List[ListNode]) -> ListNode:
'\n 熟悉合并链表\n Args:\n lists:链表\n Returns:\n 合并后的list\n '
dummy = ListNode((- 1))
p = dummy
head = []
k = len(lists)
for i in range(k):
if lists[i]:
heapq.heappush(head,... |
093e75132104ac12cb365bea111191693760f135c2d4ecb1e0fad203bbd4ddea | @save_boundary_evidence
def check_max_boundary_of_measurement(value, boundary):
'\n :return:\n '
if (boundary is None):
return None
elif (float(value) < float(boundary)):
return True
else:
return False | :return: | QuickPotato/statistical/verification.py | check_max_boundary_of_measurement | afparsons/QuickPotato | 130 | python | @save_boundary_evidence
def check_max_boundary_of_measurement(value, boundary):
'\n \n '
if (boundary is None):
return None
elif (float(value) < float(boundary)):
return True
else:
return False | @save_boundary_evidence
def check_max_boundary_of_measurement(value, boundary):
'\n \n '
if (boundary is None):
return None
elif (float(value) < float(boundary)):
return True
else:
return False<|docstring|>:return:<|endoftext|> |
fd6835a7c06cb0841aca448b6d15db6e3c5d200f3c9a293bcbc9f36c3a332be9 | @save_boundary_evidence
def check_min_boundary_of_measurement(value, boundary):
'\n :return:\n '
if (boundary is None):
return None
elif (float(value) > float(boundary)):
return True
else:
return False | :return: | QuickPotato/statistical/verification.py | check_min_boundary_of_measurement | afparsons/QuickPotato | 130 | python | @save_boundary_evidence
def check_min_boundary_of_measurement(value, boundary):
'\n \n '
if (boundary is None):
return None
elif (float(value) > float(boundary)):
return True
else:
return False | @save_boundary_evidence
def check_min_boundary_of_measurement(value, boundary):
'\n \n '
if (boundary is None):
return None
elif (float(value) > float(boundary)):
return True
else:
return False<|docstring|>:return:<|endoftext|> |
c6dc19505f58803a25cb2d549ccef51586776377dec5678f3c6a5fa2ee9313c6 | def get_stations(user: User, city: str='lyon') -> Stations:
'Returns the list of the velov stations filtered by the city.\n\n :param: The actual user\n :param city: The city to filter the stations returned by the API\n :return: The list of station of the city\n '
url = f'{DECAUX_API_URL}?apiKey={DEC... | Returns the list of the velov stations filtered by the city.
:param: The actual user
:param city: The city to filter the stations returned by the API
:return: The list of station of the city | my_velov_assistant/assistant/stations.py | get_stations | thefifthagreement/my-velov | 1 | python | def get_stations(user: User, city: str='lyon') -> Stations:
'Returns the list of the velov stations filtered by the city.\n\n :param: The actual user\n :param city: The city to filter the stations returned by the API\n :return: The list of station of the city\n '
url = f'{DECAUX_API_URL}?apiKey={DEC... | def get_stations(user: User, city: str='lyon') -> Stations:
'Returns the list of the velov stations filtered by the city.\n\n :param: The actual user\n :param city: The city to filter the stations returned by the API\n :return: The list of station of the city\n '
url = f'{DECAUX_API_URL}?apiKey={DEC... |
d01be3c52bafbc3566a1ca753f03b7e89ee4044d2b0e317a5c17a000637a3a16 | def get_station(number: int, stations: Stations) -> Station:
'Returns the station which ID is the number.\n\n :param number: The number of the station to find\n :param stations: The list of stations\n :return: The station with the same number or None\n '
return next(filter((lambda s: (s.number == nu... | Returns the station which ID is the number.
:param number: The number of the station to find
:param stations: The list of stations
:return: The station with the same number or None | my_velov_assistant/assistant/stations.py | get_station | thefifthagreement/my-velov | 1 | python | def get_station(number: int, stations: Stations) -> Station:
'Returns the station which ID is the number.\n\n :param number: The number of the station to find\n :param stations: The list of stations\n :return: The station with the same number or None\n '
return next(filter((lambda s: (s.number == nu... | def get_station(number: int, stations: Stations) -> Station:
'Returns the station which ID is the number.\n\n :param number: The number of the station to find\n :param stations: The list of stations\n :return: The station with the same number or None\n '
return next(filter((lambda s: (s.number == nu... |
0bf3316dd6d80b985c221fdf757f0a0c6b3c8915a3edfa6d38f6b5810e0e8998 | def get_nearest_station(distances: Dict[(int, float)], stations: Stations):
'Search of the nearest station using the distances\n\n :param distances: A dict of number -> distance\n :param stations: The list of velov stations\n :return: The nearest station and the distance in km\n '
nearest = min(dist... | Search of the nearest station using the distances
:param distances: A dict of number -> distance
:param stations: The list of velov stations
:return: The nearest station and the distance in km | my_velov_assistant/assistant/stations.py | get_nearest_station | thefifthagreement/my-velov | 1 | python | def get_nearest_station(distances: Dict[(int, float)], stations: Stations):
'Search of the nearest station using the distances\n\n :param distances: A dict of number -> distance\n :param stations: The list of velov stations\n :return: The nearest station and the distance in km\n '
nearest = min(dist... | def get_nearest_station(distances: Dict[(int, float)], stations: Stations):
'Search of the nearest station using the distances\n\n :param distances: A dict of number -> distance\n :param stations: The list of velov stations\n :return: The nearest station and the distance in km\n '
nearest = min(dist... |
9bd42b3c040f6343a81cca4840ac7d60ef9dda1d998276ec82dba875d320e50c | def get_nearest_free_bike(location: Point, stations: Stations) -> Tuple[(Station, float)]:
"Search of the nearest station from the location with a free bike\n\n :param location: The user's location\n :param stations: The list of velov stations\n :return: The nearest station with a free bike and the distanc... | Search of the nearest station from the location with a free bike
:param location: The user's location
:param stations: The list of velov stations
:return: The nearest station with a free bike and the distance in km | my_velov_assistant/assistant/stations.py | get_nearest_free_bike | thefifthagreement/my-velov | 1 | python | def get_nearest_free_bike(location: Point, stations: Stations) -> Tuple[(Station, float)]:
"Search of the nearest station from the location with a free bike\n\n :param location: The user's location\n :param stations: The list of velov stations\n :return: The nearest station with a free bike and the distanc... | def get_nearest_free_bike(location: Point, stations: Stations) -> Tuple[(Station, float)]:
"Search of the nearest station from the location with a free bike\n\n :param location: The user's location\n :param stations: The list of velov stations\n :return: The nearest station with a free bike and the distanc... |
02d547a791645acc8ab7b60b3aac00b49f7db7ddb0813ea28b77656c50cd8600 | def get_nearest_free_place(destination: Point, stations: Stations) -> Tuple[(Station, float)]:
"Search of the nearest station from the destination with a free place\n\n :param destination: The user's destination\n :param stations: The list of velov stations\n :return: The nearest station with a free place ... | Search of the nearest station from the destination with a free place
:param destination: The user's destination
:param stations: The list of velov stations
:return: The nearest station with a free place and the distance in km | my_velov_assistant/assistant/stations.py | get_nearest_free_place | thefifthagreement/my-velov | 1 | python | def get_nearest_free_place(destination: Point, stations: Stations) -> Tuple[(Station, float)]:
"Search of the nearest station from the destination with a free place\n\n :param destination: The user's destination\n :param stations: The list of velov stations\n :return: The nearest station with a free place ... | def get_nearest_free_place(destination: Point, stations: Stations) -> Tuple[(Station, float)]:
"Search of the nearest station from the destination with a free place\n\n :param destination: The user's destination\n :param stations: The list of velov stations\n :return: The nearest station with a free place ... |
9b72c3a93274f37fe7a609a87212663adef0e889c9d375c8a4e236f34bed690b | def haskell_docs(module, name):
'\n Returns info for name as multiline string\n '
try:
(exit_code, stdout, stderr) = call_and_wait(['haskell-docs', module, name])
stdout = crlf2lf(stdout)
if (exit_code == 0):
ambigousRe = '^Ambiguous module, belongs to more than one pac... | Returns info for name as multiline string | haskell_docs.py | haskell_docs | kolmodin/SublimeHaskell | 0 | python | def haskell_docs(module, name):
'\n \n '
try:
(exit_code, stdout, stderr) = call_and_wait(['haskell-docs', module, name])
stdout = crlf2lf(stdout)
if (exit_code == 0):
ambigousRe = '^Ambiguous module, belongs to more than one package: (.*)$'
continueRe = '^C... | def haskell_docs(module, name):
'\n \n '
try:
(exit_code, stdout, stderr) = call_and_wait(['haskell-docs', module, name])
stdout = crlf2lf(stdout)
if (exit_code == 0):
ambigousRe = '^Ambiguous module, belongs to more than one package: (.*)$'
continueRe = '^C... |
e3ca8754e3ee743ef62d4365177e6ef5ca3fddb9fda3058ca373dfebc798985b | def test_create_logger():
'\n Tests that creating a logger works correctly\n '
MESSAGE = 'THIS IS A TESTING MESSAGE'
logger = create_logger(__file__)
logger.info(MESSAGE)
with open('tests/test_logger.py.log', 'r') as fp:
lines: List[str] = fp.readlines()
contents: str = '\n'.jo... | Tests that creating a logger works correctly | tests/test_logger.py | test_create_logger | stephend017/sd_utils | 0 | python | def test_create_logger():
'\n \n '
MESSAGE = 'THIS IS A TESTING MESSAGE'
logger = create_logger(__file__)
logger.info(MESSAGE)
with open('tests/test_logger.py.log', 'r') as fp:
lines: List[str] = fp.readlines()
contents: str = '\n'.join(lines)
assert (MESSAGE in content... | def test_create_logger():
'\n \n '
MESSAGE = 'THIS IS A TESTING MESSAGE'
logger = create_logger(__file__)
logger.info(MESSAGE)
with open('tests/test_logger.py.log', 'r') as fp:
lines: List[str] = fp.readlines()
contents: str = '\n'.join(lines)
assert (MESSAGE in content... |
5a01091de3d49bc076b1c99bf23789a523db0d378da81ad0327ac5bf71eb77f4 | def run_pto(number, env, ref=False):
'Lead titanate 6 atoms SZP/diagonalisation PBE '
name = 'PTO'
description = 'Lead titanate 5 atoms SZP diagonalisation'
grid_cutoff = 80.0
xc = 'PBE'
kpts = [9, 9, 9]
basis = 'small'
basis = {'Pb': {'file': 'Pb_SZP_v323_PBE.ion'}, 'Ti': {'file': 'Ti_S... | Lead titanate 6 atoms SZP/diagonalisation PBE | pto.py | run_pto | Paraquat/ConquestTest | 0 | python | def run_pto(number, env, ref=False):
' '
name = 'PTO'
description = 'Lead titanate 5 atoms SZP diagonalisation'
grid_cutoff = 80.0
xc = 'PBE'
kpts = [9, 9, 9]
basis = 'small'
basis = {'Pb': {'file': 'Pb_SZP_v323_PBE.ion'}, 'Ti': {'file': 'Ti_SZP_v323_PBE.ion'}, 'O': {'file': 'O_SZP_v323_... | def run_pto(number, env, ref=False):
' '
name = 'PTO'
description = 'Lead titanate 5 atoms SZP diagonalisation'
grid_cutoff = 80.0
xc = 'PBE'
kpts = [9, 9, 9]
basis = 'small'
basis = {'Pb': {'file': 'Pb_SZP_v323_PBE.ion'}, 'Ti': {'file': 'Ti_SZP_v323_PBE.ion'}, 'O': {'file': 'O_SZP_v323_... |
7ae0ceb93a3f6428137387802eaa8025fb81543d15319f2db810eea38320aa84 | @cherrypy.expose
@cherrypy.tools.json_in()
@cherrypy.tools.json_out()
def index(self) -> str:
'\n Compute sunrise and sunset for the given city.\n '
a = Astral()
a.solar_depression = 'civil'
params = cherrypy.request.json
city_name = (params['city'] or '')
try:
city = a[cit... | Compute sunrise and sunset for the given city. | app/astre.py | index | rberrelleza/intro-to-chaos-engineering | 1 | python | @cherrypy.expose
@cherrypy.tools.json_in()
@cherrypy.tools.json_out()
def index(self) -> str:
'\n \n '
a = Astral()
a.solar_depression = 'civil'
params = cherrypy.request.json
city_name = (params['city'] or )
try:
city = a[city_name]
except KeyError:
return {'er... | @cherrypy.expose
@cherrypy.tools.json_in()
@cherrypy.tools.json_out()
def index(self) -> str:
'\n \n '
a = Astral()
a.solar_depression = 'civil'
params = cherrypy.request.json
city_name = (params['city'] or )
try:
city = a[city_name]
except KeyError:
return {'er... |
60461e325f4bb719042174049cb85223b94234e06942f59696c8141956996069 | def list(self, account_id=None, study_id=None, user_id=None):
'List.\n\n :param account_id: account_id\n :param study_id: study_id\n :param user_id: user_id\n '
request_data = {'account_id': account_id, 'study_id': study_id, 'user_id': user_id}
errors_mapping = {}
errors_mapp... | List.
:param account_id: account_id
:param study_id: study_id
:param user_id: user_id | ambra_sdk/service/entrypoints/generated/link.py | list | dicomgrid/sdk-python | 9 | python | def list(self, account_id=None, study_id=None, user_id=None):
'List.\n\n :param account_id: account_id\n :param study_id: study_id\n :param user_id: user_id\n '
request_data = {'account_id': account_id, 'study_id': study_id, 'user_id': user_id}
errors_mapping = {}
errors_mapp... | def list(self, account_id=None, study_id=None, user_id=None):
'List.\n\n :param account_id: account_id\n :param study_id: study_id\n :param user_id: user_id\n '
request_data = {'account_id': account_id, 'study_id': study_id, 'user_id': user_id}
errors_mapping = {}
errors_mapp... |
c25d9afd6d374edda1f470755de22fc7b80cf8ddacb2e2b14b03340015c8eced | def add(self, action, prompt_for_anonymize, acceptance_required=None, account_id=None, anonymize=None, charge_amount=None, charge_currency=None, charge_description=None, email=None, filter=None, include_priors=None, max_hits=None, meeting_id=None, message=None, mfm_page=None, minutes_alive=None, mobile_phone=None, name... | Add.
:param action: Link action (STUDY_LIST|STUDY_VIEW|STUDY_UPLOAD)
:param prompt_for_anonymize: Flag to prompt if the anonymization rules should be applied on ingress
:param acceptance_required: Flag that acceptance of TOS is required (optional)
:param account_id: account_id
:param anonymize: Anonymization rules to ... | ambra_sdk/service/entrypoints/generated/link.py | add | dicomgrid/sdk-python | 9 | python | def add(self, action, prompt_for_anonymize, acceptance_required=None, account_id=None, anonymize=None, charge_amount=None, charge_currency=None, charge_description=None, email=None, filter=None, include_priors=None, max_hits=None, meeting_id=None, message=None, mfm_page=None, minutes_alive=None, mobile_phone=None, name... | def add(self, action, prompt_for_anonymize, acceptance_required=None, account_id=None, anonymize=None, charge_amount=None, charge_currency=None, charge_description=None, email=None, filter=None, include_priors=None, max_hits=None, meeting_id=None, message=None, mfm_page=None, minutes_alive=None, mobile_phone=None, name... |
c5c12d33d4c64ef86a9e339bf0877c0d40be23d55a26c351411c94dba22bf7ce | def get(self, acceptance_required, account_id, action, anonymize, charge_amount, charge_currency, charge_description, created, description, email, filter, has_password, include_priors, is_meeting, max_hits, message, mfm_page, minutes_alive, mobile_phone, namespace_id, namespace_name, notify, parameters, password_is_dob... | Get.
:param acceptance_required: Flag that acceptance of TOS is required
:param account_id: The account id
:param action: Link action
:param anonymize: Any anonymization rules
:param charge_amount: Amount to charge in pennies before the link can be accessed
:param charge_currency: Charge currency
:param charge_descrip... | ambra_sdk/service/entrypoints/generated/link.py | get | dicomgrid/sdk-python | 9 | python | def get(self, acceptance_required, account_id, action, anonymize, charge_amount, charge_currency, charge_description, created, description, email, filter, has_password, include_priors, is_meeting, max_hits, message, mfm_page, minutes_alive, mobile_phone, namespace_id, namespace_name, notify, parameters, password_is_dob... | def get(self, acceptance_required, account_id, action, anonymize, charge_amount, charge_currency, charge_description, created, description, email, filter, has_password, include_priors, is_meeting, max_hits, message, mfm_page, minutes_alive, mobile_phone, namespace_id, namespace_name, notify, parameters, password_is_dob... |
a3bf08e8ba46363c24613dcaa48f096ce6c1687f798629e461e0ba042b70bcdf | def delete(self, uuid):
'Delete.\n\n :param uuid: Id of the link\n '
request_data = {'uuid': uuid}
errors_mapping = {}
errors_mapping[('MISSING_FIELDS', None)] = MissingFields('A required field is missing or does not have data in it. The error_subtype holds a array of all the missing field... | Delete.
:param uuid: Id of the link | ambra_sdk/service/entrypoints/generated/link.py | delete | dicomgrid/sdk-python | 9 | python | def delete(self, uuid):
'Delete.\n\n :param uuid: Id of the link\n '
request_data = {'uuid': uuid}
errors_mapping = {}
errors_mapping[('MISSING_FIELDS', None)] = MissingFields('A required field is missing or does not have data in it. The error_subtype holds a array of all the missing field... | def delete(self, uuid):
'Delete.\n\n :param uuid: Id of the link\n '
request_data = {'uuid': uuid}
errors_mapping = {}
errors_mapping[('MISSING_FIELDS', None)] = MissingFields('A required field is missing or does not have data in it. The error_subtype holds a array of all the missing field... |
87c54c3be0f4307a92e462574993b3fec2f06508b80de478f4289a612426d134 | def status(self, link_charge_id=None, pin=None, uuid=None):
'Status.\n\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param pin: pin\n :param uuid: uuid\n '
request_data = {'link_charge_id': link_charge_id, 'pin': pin, 'uuid': uuid}
errors_m... | Status.
:param link_charge_id: The uuid of the prior charge against this link (optional)
:param pin: pin
:param uuid: uuid | ambra_sdk/service/entrypoints/generated/link.py | status | dicomgrid/sdk-python | 9 | python | def status(self, link_charge_id=None, pin=None, uuid=None):
'Status.\n\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param pin: pin\n :param uuid: uuid\n '
request_data = {'link_charge_id': link_charge_id, 'pin': pin, 'uuid': uuid}
errors_m... | def status(self, link_charge_id=None, pin=None, uuid=None):
'Status.\n\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param pin: pin\n :param uuid: uuid\n '
request_data = {'link_charge_id': link_charge_id, 'pin': pin, 'uuid': uuid}
errors_m... |
a4ba46d192d7cb828811933ceb4e6bdb08e748acd1055121e8a9bab67f7e9903 | def session(self, email_address=None, link_charge_id=None, password=None, pin=None, short_id=None, uuid=None):
'Session.\n\n :param email_address: The users email (optional)\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param password: Password if needed ... | Session.
:param email_address: The users email (optional)
:param link_charge_id: The uuid of the prior charge against this link (optional)
:param password: Password if needed (optional)
:param pin: pin
:param short_id: short_id
:param uuid: uuid | ambra_sdk/service/entrypoints/generated/link.py | session | dicomgrid/sdk-python | 9 | python | def session(self, email_address=None, link_charge_id=None, password=None, pin=None, short_id=None, uuid=None):
'Session.\n\n :param email_address: The users email (optional)\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param password: Password if needed ... | def session(self, email_address=None, link_charge_id=None, password=None, pin=None, short_id=None, uuid=None):
'Session.\n\n :param email_address: The users email (optional)\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param password: Password if needed ... |
10e7e1f53cef80dc50875ed11e95d266a178d8f41df6a21a91b048da7b843515 | def redirect(self, link_charge_id=None, password=None, pin=None, short_id=None, uuid=None):
'Redirect.\n\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param password: Password if needed (optional)\n :param pin: pin\n :param short_id: short_id\n ... | Redirect.
:param link_charge_id: The uuid of the prior charge against this link (optional)
:param password: Password if needed (optional)
:param pin: pin
:param short_id: short_id
:param uuid: uuid | ambra_sdk/service/entrypoints/generated/link.py | redirect | dicomgrid/sdk-python | 9 | python | def redirect(self, link_charge_id=None, password=None, pin=None, short_id=None, uuid=None):
'Redirect.\n\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param password: Password if needed (optional)\n :param pin: pin\n :param short_id: short_id\n ... | def redirect(self, link_charge_id=None, password=None, pin=None, short_id=None, uuid=None):
'Redirect.\n\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param password: Password if needed (optional)\n :param pin: pin\n :param short_id: short_id\n ... |
abb00cef437b902ad0bc3183efa0edfb4b21634d2c500fd3c2db7a62c41c6c3c | def external(self, u, v):
'External.\n\n :param u: The uuid of the user_account record to create the guest link as\n :param v: A JSON hash with the following keys pairs. The JSON must be encrypted and base64 encoded\n\n filter.*=>Filter field(s) as per the /study/list to specify the study(s) to constr... | External.
:param u: The uuid of the user_account record to create the guest link as
:param v: A JSON hash with the following keys pairs. The JSON must be encrypted and base64 encoded
filter.*=>Filter field(s) as per the /study/list to specify the study(s) to construct the link for
The includ... | ambra_sdk/service/entrypoints/generated/link.py | external | dicomgrid/sdk-python | 9 | python | def external(self, u, v):
'External.\n\n :param u: The uuid of the user_account record to create the guest link as\n :param v: A JSON hash with the following keys pairs. The JSON must be encrypted and base64 encoded\n\n filter.*=>Filter field(s) as per the /study/list to specify the study(s) to constr... | def external(self, u, v):
'External.\n\n :param u: The uuid of the user_account record to create the guest link as\n :param v: A JSON hash with the following keys pairs. The JSON must be encrypted and base64 encoded\n\n filter.*=>Filter field(s) as per the /study/list to specify the study(s) to constr... |
f3c64eb7d3a4ba0050510d4312dba4220b891025b50f8314832f3d49ea9da99a | def sso(self, u, v):
'Sso.\n\n :param u: The uuid of the user_account record\n :param v: An encrypted JSON hash as per the instructions in the SSO to a PHR account with a study share section of the documentation\n '
request_data = {'u': u, 'v': v}
errors_mapping = {}
errors_mapping[... | Sso.
:param u: The uuid of the user_account record
:param v: An encrypted JSON hash as per the instructions in the SSO to a PHR account with a study share section of the documentation | ambra_sdk/service/entrypoints/generated/link.py | sso | dicomgrid/sdk-python | 9 | python | def sso(self, u, v):
'Sso.\n\n :param u: The uuid of the user_account record\n :param v: An encrypted JSON hash as per the instructions in the SSO to a PHR account with a study share section of the documentation\n '
request_data = {'u': u, 'v': v}
errors_mapping = {}
errors_mapping[... | def sso(self, u, v):
'Sso.\n\n :param u: The uuid of the user_account record\n :param v: An encrypted JSON hash as per the instructions in the SSO to a PHR account with a study share section of the documentation\n '
request_data = {'u': u, 'v': v}
errors_mapping = {}
errors_mapping[... |
e69e946042a7386a643ac2cc54938e0605724b0aae1bc6d9029cb9392c8deccb | def sid(self, email, uuid):
'Sid.\n\n :param email: Email address to associate with this usage\n :param uuid: The uuid of the link usage\n '
request_data = {'email': email, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('NOT_FOUND', None)] = NotFound('The usage was not found')
... | Sid.
:param email: Email address to associate with this usage
:param uuid: The uuid of the link usage | ambra_sdk/service/entrypoints/generated/link.py | sid | dicomgrid/sdk-python | 9 | python | def sid(self, email, uuid):
'Sid.\n\n :param email: Email address to associate with this usage\n :param uuid: The uuid of the link usage\n '
request_data = {'email': email, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('NOT_FOUND', None)] = NotFound('The usage was not found')
... | def sid(self, email, uuid):
'Sid.\n\n :param email: Email address to associate with this usage\n :param uuid: The uuid of the link usage\n '
request_data = {'email': email, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('NOT_FOUND', None)] = NotFound('The usage was not found')
... |
9f9a6b16a5a3b2f0caffcfe5932c4cc6d6683f17ea0e037ed14ef03502b6014d | def mail(self, email, uuid):
'Mail.\n\n :param email: Email address\n :param uuid: The uuid of the link\n '
request_data = {'email': email, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('INVALID_EMAIL', None)] = InvalidEmail('Enter a valid email address')
errors_mapping[('MI... | Mail.
:param email: Email address
:param uuid: The uuid of the link | ambra_sdk/service/entrypoints/generated/link.py | mail | dicomgrid/sdk-python | 9 | python | def mail(self, email, uuid):
'Mail.\n\n :param email: Email address\n :param uuid: The uuid of the link\n '
request_data = {'email': email, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('INVALID_EMAIL', None)] = InvalidEmail('Enter a valid email address')
errors_mapping[('MI... | def mail(self, email, uuid):
'Mail.\n\n :param email: Email address\n :param uuid: The uuid of the link\n '
request_data = {'email': email, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('INVALID_EMAIL', None)] = InvalidEmail('Enter a valid email address')
errors_mapping[('MI... |
c6e2db3422c92b2dd289dbe01087a180d9e3b141d2bc65ba0206df60a172e025 | def charge(self, charge_token, uuid):
'Charge.\n\n :param charge_token: The stripe charge token\n :param uuid: The uuid of the link\n '
request_data = {'charge_token': charge_token, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('CHARGE_FAILED', None)] = ChargeFailed('The charge ... | Charge.
:param charge_token: The stripe charge token
:param uuid: The uuid of the link | ambra_sdk/service/entrypoints/generated/link.py | charge | dicomgrid/sdk-python | 9 | python | def charge(self, charge_token, uuid):
'Charge.\n\n :param charge_token: The stripe charge token\n :param uuid: The uuid of the link\n '
request_data = {'charge_token': charge_token, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('CHARGE_FAILED', None)] = ChargeFailed('The charge ... | def charge(self, charge_token, uuid):
'Charge.\n\n :param charge_token: The stripe charge token\n :param uuid: The uuid of the link\n '
request_data = {'charge_token': charge_token, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('CHARGE_FAILED', None)] = ChargeFailed('The charge ... |
aa2ff92b5e96a2082c62f98c44e79cd33c7b9db2316dee69db492575f1961421 | def pin(self, uuid):
'Pin.\n\n :param uuid: The uuid of the link\n '
request_data = {'uuid': uuid}
errors_mapping = {}
errors_mapping[('MISSING_FIELDS', None)] = MissingFields('A required field is missing or does not have data in it. The error_subtype holds a array of all the missing field... | Pin.
:param uuid: The uuid of the link | ambra_sdk/service/entrypoints/generated/link.py | pin | dicomgrid/sdk-python | 9 | python | def pin(self, uuid):
'Pin.\n\n :param uuid: The uuid of the link\n '
request_data = {'uuid': uuid}
errors_mapping = {}
errors_mapping[('MISSING_FIELDS', None)] = MissingFields('A required field is missing or does not have data in it. The error_subtype holds a array of all the missing field... | def pin(self, uuid):
'Pin.\n\n :param uuid: The uuid of the link\n '
request_data = {'uuid': uuid}
errors_mapping = {}
errors_mapping[('MISSING_FIELDS', None)] = MissingFields('A required field is missing or does not have data in it. The error_subtype holds a array of all the missing field... |
487b2ac758a8f67cd1e00a6e858d05bb08956389467ad646f83929cdea241c33 | def list(self, account_id=None, study_id=None, user_id=None):
'List.\n\n :param account_id: account_id\n :param study_id: study_id\n :param user_id: user_id\n '
request_data = {'account_id': account_id, 'study_id': study_id, 'user_id': user_id}
errors_mapping = {}
errors_mapp... | List.
:param account_id: account_id
:param study_id: study_id
:param user_id: user_id | ambra_sdk/service/entrypoints/generated/link.py | list | dicomgrid/sdk-python | 9 | python | def list(self, account_id=None, study_id=None, user_id=None):
'List.\n\n :param account_id: account_id\n :param study_id: study_id\n :param user_id: user_id\n '
request_data = {'account_id': account_id, 'study_id': study_id, 'user_id': user_id}
errors_mapping = {}
errors_mapp... | def list(self, account_id=None, study_id=None, user_id=None):
'List.\n\n :param account_id: account_id\n :param study_id: study_id\n :param user_id: user_id\n '
request_data = {'account_id': account_id, 'study_id': study_id, 'user_id': user_id}
errors_mapping = {}
errors_mapp... |
8615abc35a723e6a69eef184013f2a68edcf5a00708c3b138ccbfbcabd52ccc3 | def add(self, action, prompt_for_anonymize, acceptance_required=None, account_id=None, anonymize=None, charge_amount=None, charge_currency=None, charge_description=None, email=None, filter=None, include_priors=None, max_hits=None, meeting_id=None, message=None, mfm_page=None, minutes_alive=None, mobile_phone=None, name... | Add.
:param action: Link action (STUDY_LIST|STUDY_VIEW|STUDY_UPLOAD)
:param prompt_for_anonymize: Flag to prompt if the anonymization rules should be applied on ingress
:param acceptance_required: Flag that acceptance of TOS is required (optional)
:param account_id: account_id
:param anonymize: Anonymization rules to ... | ambra_sdk/service/entrypoints/generated/link.py | add | dicomgrid/sdk-python | 9 | python | def add(self, action, prompt_for_anonymize, acceptance_required=None, account_id=None, anonymize=None, charge_amount=None, charge_currency=None, charge_description=None, email=None, filter=None, include_priors=None, max_hits=None, meeting_id=None, message=None, mfm_page=None, minutes_alive=None, mobile_phone=None, name... | def add(self, action, prompt_for_anonymize, acceptance_required=None, account_id=None, anonymize=None, charge_amount=None, charge_currency=None, charge_description=None, email=None, filter=None, include_priors=None, max_hits=None, meeting_id=None, message=None, mfm_page=None, minutes_alive=None, mobile_phone=None, name... |
40d3245e651ee8217e6ba155f6f8f1aa35b4b728a07363434f6a953e19195c4c | def get(self, acceptance_required, account_id, action, anonymize, charge_amount, charge_currency, charge_description, created, description, email, filter, has_password, include_priors, is_meeting, max_hits, message, mfm_page, minutes_alive, mobile_phone, namespace_id, namespace_name, notify, parameters, password_is_dob... | Get.
:param acceptance_required: Flag that acceptance of TOS is required
:param account_id: The account id
:param action: Link action
:param anonymize: Any anonymization rules
:param charge_amount: Amount to charge in pennies before the link can be accessed
:param charge_currency: Charge currency
:param charge_descrip... | ambra_sdk/service/entrypoints/generated/link.py | get | dicomgrid/sdk-python | 9 | python | def get(self, acceptance_required, account_id, action, anonymize, charge_amount, charge_currency, charge_description, created, description, email, filter, has_password, include_priors, is_meeting, max_hits, message, mfm_page, minutes_alive, mobile_phone, namespace_id, namespace_name, notify, parameters, password_is_dob... | def get(self, acceptance_required, account_id, action, anonymize, charge_amount, charge_currency, charge_description, created, description, email, filter, has_password, include_priors, is_meeting, max_hits, message, mfm_page, minutes_alive, mobile_phone, namespace_id, namespace_name, notify, parameters, password_is_dob... |
04ca3a016b9f984188d51a264ada10f29b803e37b92b2bb4bb64f37e68fc03a9 | def delete(self, uuid):
'Delete.\n\n :param uuid: Id of the link\n '
request_data = {'uuid': uuid}
errors_mapping = {}
errors_mapping[('MISSING_FIELDS', None)] = MissingFields('A required field is missing or does not have data in it. The error_subtype holds a array of all the missing field... | Delete.
:param uuid: Id of the link | ambra_sdk/service/entrypoints/generated/link.py | delete | dicomgrid/sdk-python | 9 | python | def delete(self, uuid):
'Delete.\n\n :param uuid: Id of the link\n '
request_data = {'uuid': uuid}
errors_mapping = {}
errors_mapping[('MISSING_FIELDS', None)] = MissingFields('A required field is missing or does not have data in it. The error_subtype holds a array of all the missing field... | def delete(self, uuid):
'Delete.\n\n :param uuid: Id of the link\n '
request_data = {'uuid': uuid}
errors_mapping = {}
errors_mapping[('MISSING_FIELDS', None)] = MissingFields('A required field is missing or does not have data in it. The error_subtype holds a array of all the missing field... |
8af8de3c0a690bbaa636ed4ca74889336608b3458b2074ae3bae926e03b34a29 | def status(self, link_charge_id=None, pin=None, uuid=None):
'Status.\n\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param pin: pin\n :param uuid: uuid\n '
request_data = {'link_charge_id': link_charge_id, 'pin': pin, 'uuid': uuid}
errors_m... | Status.
:param link_charge_id: The uuid of the prior charge against this link (optional)
:param pin: pin
:param uuid: uuid | ambra_sdk/service/entrypoints/generated/link.py | status | dicomgrid/sdk-python | 9 | python | def status(self, link_charge_id=None, pin=None, uuid=None):
'Status.\n\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param pin: pin\n :param uuid: uuid\n '
request_data = {'link_charge_id': link_charge_id, 'pin': pin, 'uuid': uuid}
errors_m... | def status(self, link_charge_id=None, pin=None, uuid=None):
'Status.\n\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param pin: pin\n :param uuid: uuid\n '
request_data = {'link_charge_id': link_charge_id, 'pin': pin, 'uuid': uuid}
errors_m... |
4f2147feb3bc2e3caaa4b02b4675184a6e3a790688dffb0c969d1ce3788bb11e | def session(self, email_address=None, link_charge_id=None, password=None, pin=None, short_id=None, uuid=None):
'Session.\n\n :param email_address: The users email (optional)\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param password: Password if needed ... | Session.
:param email_address: The users email (optional)
:param link_charge_id: The uuid of the prior charge against this link (optional)
:param password: Password if needed (optional)
:param pin: pin
:param short_id: short_id
:param uuid: uuid | ambra_sdk/service/entrypoints/generated/link.py | session | dicomgrid/sdk-python | 9 | python | def session(self, email_address=None, link_charge_id=None, password=None, pin=None, short_id=None, uuid=None):
'Session.\n\n :param email_address: The users email (optional)\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param password: Password if needed ... | def session(self, email_address=None, link_charge_id=None, password=None, pin=None, short_id=None, uuid=None):
'Session.\n\n :param email_address: The users email (optional)\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param password: Password if needed ... |
cc39351c470d4dc4aedfc96a69ef172f1e09a64f192cb981ff66f0aabfc7c6ba | def redirect(self, link_charge_id=None, password=None, pin=None, short_id=None, uuid=None):
'Redirect.\n\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param password: Password if needed (optional)\n :param pin: pin\n :param short_id: short_id\n ... | Redirect.
:param link_charge_id: The uuid of the prior charge against this link (optional)
:param password: Password if needed (optional)
:param pin: pin
:param short_id: short_id
:param uuid: uuid | ambra_sdk/service/entrypoints/generated/link.py | redirect | dicomgrid/sdk-python | 9 | python | def redirect(self, link_charge_id=None, password=None, pin=None, short_id=None, uuid=None):
'Redirect.\n\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param password: Password if needed (optional)\n :param pin: pin\n :param short_id: short_id\n ... | def redirect(self, link_charge_id=None, password=None, pin=None, short_id=None, uuid=None):
'Redirect.\n\n :param link_charge_id: The uuid of the prior charge against this link (optional)\n :param password: Password if needed (optional)\n :param pin: pin\n :param short_id: short_id\n ... |
89e9b856468dedac50c6706b26bb3e3d557f2c832f9feb0fc64c83b63cda4d95 | def external(self, u, v):
'External.\n\n :param u: The uuid of the user_account record to create the guest link as\n :param v: A JSON hash with the following keys pairs. The JSON must be encrypted and base64 encoded\n\n filter.*=>Filter field(s) as per the /study/list to specify the study(s) to constr... | External.
:param u: The uuid of the user_account record to create the guest link as
:param v: A JSON hash with the following keys pairs. The JSON must be encrypted and base64 encoded
filter.*=>Filter field(s) as per the /study/list to specify the study(s) to construct the link for
The includ... | ambra_sdk/service/entrypoints/generated/link.py | external | dicomgrid/sdk-python | 9 | python | def external(self, u, v):
'External.\n\n :param u: The uuid of the user_account record to create the guest link as\n :param v: A JSON hash with the following keys pairs. The JSON must be encrypted and base64 encoded\n\n filter.*=>Filter field(s) as per the /study/list to specify the study(s) to constr... | def external(self, u, v):
'External.\n\n :param u: The uuid of the user_account record to create the guest link as\n :param v: A JSON hash with the following keys pairs. The JSON must be encrypted and base64 encoded\n\n filter.*=>Filter field(s) as per the /study/list to specify the study(s) to constr... |
3cd5a10fbf7861661f7b72c236a1f7ced094b04959549e74ba5fed699f23793c | def sso(self, u, v):
'Sso.\n\n :param u: The uuid of the user_account record\n :param v: An encrypted JSON hash as per the instructions in the SSO to a PHR account with a study share section of the documentation\n '
request_data = {'u': u, 'v': v}
errors_mapping = {}
errors_mapping[... | Sso.
:param u: The uuid of the user_account record
:param v: An encrypted JSON hash as per the instructions in the SSO to a PHR account with a study share section of the documentation | ambra_sdk/service/entrypoints/generated/link.py | sso | dicomgrid/sdk-python | 9 | python | def sso(self, u, v):
'Sso.\n\n :param u: The uuid of the user_account record\n :param v: An encrypted JSON hash as per the instructions in the SSO to a PHR account with a study share section of the documentation\n '
request_data = {'u': u, 'v': v}
errors_mapping = {}
errors_mapping[... | def sso(self, u, v):
'Sso.\n\n :param u: The uuid of the user_account record\n :param v: An encrypted JSON hash as per the instructions in the SSO to a PHR account with a study share section of the documentation\n '
request_data = {'u': u, 'v': v}
errors_mapping = {}
errors_mapping[... |
259e06ad725e63ca195879c8d2c500396c465cb1d04a96a20adf68150d9ec160 | def sid(self, email, uuid):
'Sid.\n\n :param email: Email address to associate with this usage\n :param uuid: The uuid of the link usage\n '
request_data = {'email': email, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('NOT_FOUND', None)] = NotFound('The usage was not found')
... | Sid.
:param email: Email address to associate with this usage
:param uuid: The uuid of the link usage | ambra_sdk/service/entrypoints/generated/link.py | sid | dicomgrid/sdk-python | 9 | python | def sid(self, email, uuid):
'Sid.\n\n :param email: Email address to associate with this usage\n :param uuid: The uuid of the link usage\n '
request_data = {'email': email, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('NOT_FOUND', None)] = NotFound('The usage was not found')
... | def sid(self, email, uuid):
'Sid.\n\n :param email: Email address to associate with this usage\n :param uuid: The uuid of the link usage\n '
request_data = {'email': email, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('NOT_FOUND', None)] = NotFound('The usage was not found')
... |
46ba33f1b7f68f65e5ad1469f4d17b19eec2a7c6b7f734afa72af340f1f4a278 | def mail(self, email, uuid):
'Mail.\n\n :param email: Email address\n :param uuid: The uuid of the link\n '
request_data = {'email': email, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('INVALID_EMAIL', None)] = InvalidEmail('Enter a valid email address')
errors_mapping[('MI... | Mail.
:param email: Email address
:param uuid: The uuid of the link | ambra_sdk/service/entrypoints/generated/link.py | mail | dicomgrid/sdk-python | 9 | python | def mail(self, email, uuid):
'Mail.\n\n :param email: Email address\n :param uuid: The uuid of the link\n '
request_data = {'email': email, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('INVALID_EMAIL', None)] = InvalidEmail('Enter a valid email address')
errors_mapping[('MI... | def mail(self, email, uuid):
'Mail.\n\n :param email: Email address\n :param uuid: The uuid of the link\n '
request_data = {'email': email, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('INVALID_EMAIL', None)] = InvalidEmail('Enter a valid email address')
errors_mapping[('MI... |
254dd70c36ce815a2f2cbaeec43fefdb12cb9716d9e003670702a6e9e5b93d45 | def charge(self, charge_token, uuid):
'Charge.\n\n :param charge_token: The stripe charge token\n :param uuid: The uuid of the link\n '
request_data = {'charge_token': charge_token, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('CHARGE_FAILED', None)] = ChargeFailed('The charge ... | Charge.
:param charge_token: The stripe charge token
:param uuid: The uuid of the link | ambra_sdk/service/entrypoints/generated/link.py | charge | dicomgrid/sdk-python | 9 | python | def charge(self, charge_token, uuid):
'Charge.\n\n :param charge_token: The stripe charge token\n :param uuid: The uuid of the link\n '
request_data = {'charge_token': charge_token, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('CHARGE_FAILED', None)] = ChargeFailed('The charge ... | def charge(self, charge_token, uuid):
'Charge.\n\n :param charge_token: The stripe charge token\n :param uuid: The uuid of the link\n '
request_data = {'charge_token': charge_token, 'uuid': uuid}
errors_mapping = {}
errors_mapping[('CHARGE_FAILED', None)] = ChargeFailed('The charge ... |
4d3c0325e3ab5cf258344b94917ed4beb9b7db83dd7d47bc71196cc7907b22bb | def pin(self, uuid):
'Pin.\n\n :param uuid: The uuid of the link\n '
request_data = {'uuid': uuid}
errors_mapping = {}
errors_mapping[('MISSING_FIELDS', None)] = MissingFields('A required field is missing or does not have data in it. The error_subtype holds a array of all the missing field... | Pin.
:param uuid: The uuid of the link | ambra_sdk/service/entrypoints/generated/link.py | pin | dicomgrid/sdk-python | 9 | python | def pin(self, uuid):
'Pin.\n\n :param uuid: The uuid of the link\n '
request_data = {'uuid': uuid}
errors_mapping = {}
errors_mapping[('MISSING_FIELDS', None)] = MissingFields('A required field is missing or does not have data in it. The error_subtype holds a array of all the missing field... | def pin(self, uuid):
'Pin.\n\n :param uuid: The uuid of the link\n '
request_data = {'uuid': uuid}
errors_mapping = {}
errors_mapping[('MISSING_FIELDS', None)] = MissingFields('A required field is missing or does not have data in it. The error_subtype holds a array of all the missing field... |
de6af9f1e173e59615e24cdc4fa64d8706ccf636e5d4836b3a0e1208f7368773 | def get_all_courses(fetch):
'\n\tGet all course data and return in dictionary\n\t:param fetch: boolean that indicates whether to fetch data from website again\n\t:return: dirctionary that conatains all course data\n\t'
if fetch:
URL = 'https://sis.rpi.edu/reg/zs201901.htm'
session = Session(URL)... | Get all course data and return in dictionary
:param fetch: boolean that indicates whether to fetch data from website again
:return: dirctionary that conatains all course data | crawler/course.py | get_all_courses | Tyromancer/RPICourseRecommender | 1 | python | def get_all_courses(fetch):
'\n\tGet all course data and return in dictionary\n\t:param fetch: boolean that indicates whether to fetch data from website again\n\t:return: dirctionary that conatains all course data\n\t'
if fetch:
URL = 'https://sis.rpi.edu/reg/zs201901.htm'
session = Session(URL)... | def get_all_courses(fetch):
'\n\tGet all course data and return in dictionary\n\t:param fetch: boolean that indicates whether to fetch data from website again\n\t:return: dirctionary that conatains all course data\n\t'
if fetch:
URL = 'https://sis.rpi.edu/reg/zs201901.htm'
session = Session(URL)... |
f34558d9d1d10aad15fda57a2c0ac292786ab0123cd219756f88b3d297eedbf7 | def __init__(self, data):
'\n\t\tConstructor of Course\n\t\t:param data: a string that holds all information of this course\n\t\t'
src = data.split('^')
self.CRN = src[0]
temp_val = src[1].split('-')
if (len(temp_val) == 3):
self.major = temp_val[0].upper()
self.course_id = temp_val[... | Constructor of Course
:param data: a string that holds all information of this course | crawler/course.py | __init__ | Tyromancer/RPICourseRecommender | 1 | python | def __init__(self, data):
'\n\t\tConstructor of Course\n\t\t:param data: a string that holds all information of this course\n\t\t'
src = data.split('^')
self.CRN = src[0]
temp_val = src[1].split('-')
if (len(temp_val) == 3):
self.major = temp_val[0].upper()
self.course_id = temp_val[... | def __init__(self, data):
'\n\t\tConstructor of Course\n\t\t:param data: a string that holds all information of this course\n\t\t'
src = data.split('^')
self.CRN = src[0]
temp_val = src[1].split('-')
if (len(temp_val) == 3):
self.major = temp_val[0].upper()
self.course_id = temp_val[... |
94fbdb3aff628b9d284b7fb73d831a09e7941e972cdf1ef75c08bf76d6e7d161 | def fetch(self, filename):
'\n\n\t\t:param filename: filename of the txt file to be written\n\t\t:return: None\n\t\t'
(html, header) = request.urlretrieve(self.url)
html_file = open(html, encoding='utf-8')
soup = BeautifulSoup(html_file, 'html.parser')
courses = soup.find_all('tr')
with open(fil... | :param filename: filename of the txt file to be written
:return: None | crawler/course.py | fetch | Tyromancer/RPICourseRecommender | 1 | python | def fetch(self, filename):
'\n\n\t\t:param filename: filename of the txt file to be written\n\t\t:return: None\n\t\t'
(html, header) = request.urlretrieve(self.url)
html_file = open(html, encoding='utf-8')
soup = BeautifulSoup(html_file, 'html.parser')
courses = soup.find_all('tr')
with open(fil... | def fetch(self, filename):
'\n\n\t\t:param filename: filename of the txt file to be written\n\t\t:return: None\n\t\t'
(html, header) = request.urlretrieve(self.url)
html_file = open(html, encoding='utf-8')
soup = BeautifulSoup(html_file, 'html.parser')
courses = soup.find_all('tr')
with open(fil... |
8a7e23a27cd75b3a998be6621003a711973d65a5731c9378ce07cfb745fbd25a | def modify_request(self, request):
'\n This method mangles the request in order to evade simple IDSs.\n\n This method MUST be implemented on every plugin.\n\n :param request: urllib2.Request instance that is going to be modified by the evasion plugin\n :return: A fuzzed version of the Re... | This method mangles the request in order to evade simple IDSs.
This method MUST be implemented on every plugin.
:param request: urllib2.Request instance that is going to be modified by the evasion plugin
:return: A fuzzed version of the Request. | packages/w3af/w3af/core/controllers/plugins/evasion_plugin.py | modify_request | ZooAtmosphereGroup/HelloPackages | 3 | python | def modify_request(self, request):
'\n This method mangles the request in order to evade simple IDSs.\n\n This method MUST be implemented on every plugin.\n\n :param request: urllib2.Request instance that is going to be modified by the evasion plugin\n :return: A fuzzed version of the Re... | def modify_request(self, request):
'\n This method mangles the request in order to evade simple IDSs.\n\n This method MUST be implemented on every plugin.\n\n :param request: urllib2.Request instance that is going to be modified by the evasion plugin\n :return: A fuzzed version of the Re... |
aa0dbe561cde9af3606678ebb78566fcf4a5445c5e22b569b81282600761aa03 | def get_priority(self):
'\n This function is called when sorting evasion plugins.\n Each evasion plugin should implement this.\n\n :return: An integer specifying the priority. 100 is run first, 0 last.\n '
msg = 'Plugin is not implementing required method get_priority'
raise NotI... | This function is called when sorting evasion plugins.
Each evasion plugin should implement this.
:return: An integer specifying the priority. 100 is run first, 0 last. | packages/w3af/w3af/core/controllers/plugins/evasion_plugin.py | get_priority | ZooAtmosphereGroup/HelloPackages | 3 | python | def get_priority(self):
'\n This function is called when sorting evasion plugins.\n Each evasion plugin should implement this.\n\n :return: An integer specifying the priority. 100 is run first, 0 last.\n '
msg = 'Plugin is not implementing required method get_priority'
raise NotI... | def get_priority(self):
'\n This function is called when sorting evasion plugins.\n Each evasion plugin should implement this.\n\n :return: An integer specifying the priority. 100 is run first, 0 last.\n '
msg = 'Plugin is not implementing required method get_priority'
raise NotI... |
0811443272585cc5e0bbca930c6ad2d71f2e577726fe59de14d5475f51ce36bb | @click.command(context_settings=CONTEXT_SETTINGS)
@click.version_option(version='1.0.0')
@click.option('--caller', default='manta', help='The name of SV caller by which the input VCF was generated.\n[manta, delly, lumpy, gridss] could be acceptable (default, manta).')
@click.option('-i', '--info', help='The names of IN... | Convert a VCF file into a BEDPE file.
A VCF argument is the path to the input VCF file. | src/viola/cli/vcf2bedpe.py | vcf2bedpe | mmiki21/Viola-SV | 13 | python | @click.command(context_settings=CONTEXT_SETTINGS)
@click.version_option(version='1.0.0')
@click.option('--caller', default='manta', help='The name of SV caller by which the input VCF was generated.\n[manta, delly, lumpy, gridss] could be acceptable (default, manta).')
@click.option('-i', '--info', help='The names of IN... | @click.command(context_settings=CONTEXT_SETTINGS)
@click.version_option(version='1.0.0')
@click.option('--caller', default='manta', help='The name of SV caller by which the input VCF was generated.\n[manta, delly, lumpy, gridss] could be acceptable (default, manta).')
@click.option('-i', '--info', help='The names of IN... |
7fdf17ce4683c172f660f31c4822bffb642f17d645683e409352d4e584c3ee67 | def ensure_namespace(api: kubernetes.client.CoreV1Api, namespace: str):
'\n Ensure that a Kubernetes namespace exists.\n\n Parameters\n ----------\n api : kubernetes\n '
try:
api.create_namespace(body=kubernetes.client.V1Namespace(metadata=kubernetes.client.V1ObjectMeta(name=namespace)))
... | Ensure that a Kubernetes namespace exists.
Parameters
----------
api : kubernetes | kbatch-proxy/kbatch_proxy/main.py | ensure_namespace | kbatch-dev/kbatch | 2 | python | def ensure_namespace(api: kubernetes.client.CoreV1Api, namespace: str):
'\n Ensure that a Kubernetes namespace exists.\n\n Parameters\n ----------\n api : kubernetes\n '
try:
api.create_namespace(body=kubernetes.client.V1Namespace(metadata=kubernetes.client.V1ObjectMeta(name=namespace)))
... | def ensure_namespace(api: kubernetes.client.CoreV1Api, namespace: str):
'\n Ensure that a Kubernetes namespace exists.\n\n Parameters\n ----------\n api : kubernetes\n '
try:
api.create_namespace(body=kubernetes.client.V1Namespace(metadata=kubernetes.client.V1ObjectMeta(name=namespace)))
... |
a9a4f0d5d6d4ebc991cb7c6980c59ebe46608d937aafca6eb4d0f6e1debbae5a | def _create_job(data: dict, model: Union[(V1CronJob, V1Job)], user: User=Depends(get_current_user)):
'\n Create a Kubernetes batch Job or CronJob.\n\n This is handled in three steps:\n 1. Submit ConfigMap\n 2. Submit Job/CronJob\n 3. Patch ConfigMap to add Job/CronJob as the owner\n\n Parameters\n... | Create a Kubernetes batch Job or CronJob.
This is handled in three steps:
1. Submit ConfigMap
2. Submit Job/CronJob
3. Patch ConfigMap to add Job/CronJob as the owner
Parameters
----------
data : data specific to the Job or CronJob.
model : kubernetes batch models, "V1Job" "V1CronJob".
user : a `User` object which ho... | kbatch-proxy/kbatch_proxy/main.py | _create_job | kbatch-dev/kbatch | 2 | python | def _create_job(data: dict, model: Union[(V1CronJob, V1Job)], user: User=Depends(get_current_user)):
'\n Create a Kubernetes batch Job or CronJob.\n\n This is handled in three steps:\n 1. Submit ConfigMap\n 2. Submit Job/CronJob\n 3. Patch ConfigMap to add Job/CronJob as the owner\n\n Parameters\n... | def _create_job(data: dict, model: Union[(V1CronJob, V1Job)], user: User=Depends(get_current_user)):
'\n Create a Kubernetes batch Job or CronJob.\n\n This is handled in three steps:\n 1. Submit ConfigMap\n 2. Submit Job/CronJob\n 3. Patch ConfigMap to add Job/CronJob as the owner\n\n Parameters\n... |
b3f372b55f499b165e77e633d32555cc399897a34b4715cb2305ffda81146033 | def _perform_action(job_name: Union[(str, None)], namespace: str, action: str, model: Union[(V1Job, V1CronJob)]) -> str:
'\n Perform an action on `job_name`.\n\n Parameters\n ----------\n job_name : name of the Kubernetes Job or CronJob.\n namespace : Kubernetes namespace to check.\n action : acti... | Perform an action on `job_name`.
Parameters
----------
job_name : name of the Kubernetes Job or CronJob.
namespace : Kubernetes namespace to check.
action : action to perform on `job_name`.
Must match one item in `job_actions` list.
model : kubernetes batch models, "V1Job" "V1CronJob" | kbatch-proxy/kbatch_proxy/main.py | _perform_action | kbatch-dev/kbatch | 2 | python | def _perform_action(job_name: Union[(str, None)], namespace: str, action: str, model: Union[(V1Job, V1CronJob)]) -> str:
'\n Perform an action on `job_name`.\n\n Parameters\n ----------\n job_name : name of the Kubernetes Job or CronJob.\n namespace : Kubernetes namespace to check.\n action : acti... | def _perform_action(job_name: Union[(str, None)], namespace: str, action: str, model: Union[(V1Job, V1CronJob)]) -> str:
'\n Perform an action on `job_name`.\n\n Parameters\n ----------\n job_name : name of the Kubernetes Job or CronJob.\n namespace : Kubernetes namespace to check.\n action : acti... |
2f4df8afa01f229e33f78cff5e9691faffcac8f6a18f2c05e74882132c9ba600 | @property
def namespace(self) -> str:
'The Kubernetes namespace for a user.'
return patch.namespace_for_username(self.name) | The Kubernetes namespace for a user. | kbatch-proxy/kbatch_proxy/main.py | namespace | kbatch-dev/kbatch | 2 | python | @property
def namespace(self) -> str:
return patch.namespace_for_username(self.name) | @property
def namespace(self) -> str:
return patch.namespace_for_username(self.name)<|docstring|>The Kubernetes namespace for a user.<|endoftext|> |
cd49ec36b74c82536f4d771e2ef81319bfd2cf13fedef35c96165008f6f483d9 | def trans_res(res):
'Function to take a RES of form blah./^V64 and output VAL64'
d = {'CYS': 'C', 'ASP': 'D', 'SER': 'S', 'GLN': 'Q', 'LYS': 'K', 'ILE': 'I', 'PRO': 'P', 'THR': 'T', 'PHE': 'F', 'ASN': 'N', 'GLY': 'G', 'HIS': 'H', 'LEU': 'L', 'ARG': 'R', 'TRP': 'W', 'ALA': 'A', 'VAL': 'V', 'GLU': 'E', 'TYR': 'Y'... | Function to take a RES of form blah./^V64 and output VAL64 | src/WebApp/pyplif/make_dict.py | trans_res | abradle/ccf | 1 | python | def trans_res(res):
d = {'CYS': 'C', 'ASP': 'D', 'SER': 'S', 'GLN': 'Q', 'LYS': 'K', 'ILE': 'I', 'PRO': 'P', 'THR': 'T', 'PHE': 'F', 'ASN': 'N', 'GLY': 'G', 'HIS': 'H', 'LEU': 'L', 'ARG': 'R', 'TRP': 'W', 'ALA': 'A', 'VAL': 'V', 'GLU': 'E', 'TYR': 'Y', 'MET': 'M'}
rev_d = dict(((v, k) for (k, v) in d.iteri... | def trans_res(res):
d = {'CYS': 'C', 'ASP': 'D', 'SER': 'S', 'GLN': 'Q', 'LYS': 'K', 'ILE': 'I', 'PRO': 'P', 'THR': 'T', 'PHE': 'F', 'ASN': 'N', 'GLY': 'G', 'HIS': 'H', 'LEU': 'L', 'ARG': 'R', 'TRP': 'W', 'ALA': 'A', 'VAL': 'V', 'GLU': 'E', 'TYR': 'Y', 'MET': 'M'}
rev_d = dict(((v, k) for (k, v) in d.iteri... |
ba6e7d431cce7a77c22ba262c2618d939f641e1c4bf520a9abf400fe03755f03 | def snowflake_time(id):
' Discord snowflake ID to datetime(str) conversion\n More details: https://discord.com/developers/docs/reference#snowflakes\n '
return str(datetime.utcfromtimestamp((((id >> 22) + DISCORD_EPOCH) / 1000))) | Discord snowflake ID to datetime(str) conversion
More details: https://discord.com/developers/docs/reference#snowflakes | tap_discord/__init__.py | snowflake_time | SageData-OOD/tap-discord | 0 | python | def snowflake_time(id):
' Discord snowflake ID to datetime(str) conversion\n More details: https://discord.com/developers/docs/reference#snowflakes\n '
return str(datetime.utcfromtimestamp((((id >> 22) + DISCORD_EPOCH) / 1000))) | def snowflake_time(id):
' Discord snowflake ID to datetime(str) conversion\n More details: https://discord.com/developers/docs/reference#snowflakes\n '
return str(datetime.utcfromtimestamp((((id >> 22) + DISCORD_EPOCH) / 1000)))<|docstring|>Discord snowflake ID to datetime(str) conversion
More details... |
034121d6087075ded91d890ebf0853161d9ae2ded9a629d5123564b2ee119156 | def time_snowflake(datetime_obj, high=False):
'Returns a numeric snowflake pretending to be created at the given date.\n More details: https://discord.com/developers/docs/reference#snowflakes\n '
unix_seconds = (datetime_obj - type(datetime_obj)(1970, 1, 1)).total_seconds()
discord_millis = int(((u... | Returns a numeric snowflake pretending to be created at the given date.
More details: https://discord.com/developers/docs/reference#snowflakes | tap_discord/__init__.py | time_snowflake | SageData-OOD/tap-discord | 0 | python | def time_snowflake(datetime_obj, high=False):
'Returns a numeric snowflake pretending to be created at the given date.\n More details: https://discord.com/developers/docs/reference#snowflakes\n '
unix_seconds = (datetime_obj - type(datetime_obj)(1970, 1, 1)).total_seconds()
discord_millis = int(((u... | def time_snowflake(datetime_obj, high=False):
'Returns a numeric snowflake pretending to be created at the given date.\n More details: https://discord.com/developers/docs/reference#snowflakes\n '
unix_seconds = (datetime_obj - type(datetime_obj)(1970, 1, 1)).total_seconds()
discord_millis = int(((u... |
628a95ec835107c57e4e6e4d13ce45ca94abc08a9a58bace95aaf11de93008f7 | def load_schemas():
' Load schemas from schemas folder '
schemas = {}
for filename in os.listdir(get_abs_path('schemas')):
path = ((get_abs_path('schemas') + '/') + filename)
file_raw = filename.replace('.json', '')
with open(path) as file:
schemas[file_raw] = Schema.from... | Load schemas from schemas folder | tap_discord/__init__.py | load_schemas | SageData-OOD/tap-discord | 0 | python | def load_schemas():
' '
schemas = {}
for filename in os.listdir(get_abs_path('schemas')):
path = ((get_abs_path('schemas') + '/') + filename)
file_raw = filename.replace('.json', )
with open(path) as file:
schemas[file_raw] = Schema.from_dict(json.load(file))
return ... | def load_schemas():
' '
schemas = {}
for filename in os.listdir(get_abs_path('schemas')):
path = ((get_abs_path('schemas') + '/') + filename)
file_raw = filename.replace('.json', )
with open(path) as file:
schemas[file_raw] = Schema.from_dict(json.load(file))
return ... |
488c35238a5dd41acd6cd2c24609b3c2b909b96381063aeaab61b1886379e6e7 | def build(self, words, h_score):
'\n\n :param words: list of text patterns\n :param h_score: list of numbers - the scores for the patterns\n :return: build an amended Aho-Corasick structure, return None\n '
for (i, (w, h)) in enumerate(zip(words, h_score)):
self._add_wor... | :param words: list of text patterns
:param h_score: list of numbers - the scores for the patterns
:return: build an amended Aho-Corasick structure, return None | exoticst/ac_automation.py | build | valginer0/exotic-structures | 0 | python | def build(self, words, h_score):
'\n\n :param words: list of text patterns\n :param h_score: list of numbers - the scores for the patterns\n :return: build an amended Aho-Corasick structure, return None\n '
for (i, (w, h)) in enumerate(zip(words, h_score)):
self._add_wor... | def build(self, words, h_score):
'\n\n :param words: list of text patterns\n :param h_score: list of numbers - the scores for the patterns\n :return: build an amended Aho-Corasick structure, return None\n '
for (i, (w, h)) in enumerate(zip(words, h_score)):
self._add_wor... |
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