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apple/turicreate | src/unity/python/turicreate/toolkits/topic_model/topic_model.py | TopicModel._training_stats | def _training_stats(self):
"""
Return a dictionary of statistics collected during creation of the
model. These statistics are also available with the ``get`` method and
are described in more detail in that method's documentation.
Returns
-------
out : dict
... | python | def _training_stats(self):
"""
Return a dictionary of statistics collected during creation of the
model. These statistics are also available with the ``get`` method and
are described in more detail in that method's documentation.
Returns
-------
out : dict
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apple/turicreate | src/unity/python/turicreate/toolkits/topic_model/topic_model.py | TopicModel.get_topics | def get_topics(self, topic_ids=None, num_words=5, cdf_cutoff=1.0,
output_type='topic_probabilities'):
"""
Get the words associated with a given topic. The score column is the
probability of choosing that word given that you have chosen a
particular topic.
Par... | python | def get_topics(self, topic_ids=None, num_words=5, cdf_cutoff=1.0,
output_type='topic_probabilities'):
"""
Get the words associated with a given topic. The score column is the
probability of choosing that word given that you have chosen a
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apple/turicreate | src/unity/python/turicreate/toolkits/topic_model/topic_model.py | TopicModel.predict | def predict(self, dataset, output_type='assignment', num_burnin=None):
"""
Use the model to predict topics for each document. The provided
`dataset` should be an SArray object where each element is a dict
representing a single document in bag-of-words format, where keys
are words... | python | def predict(self, dataset, output_type='assignment', num_burnin=None):
"""
Use the model to predict topics for each document. The provided
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apple/turicreate | src/unity/python/turicreate/toolkits/topic_model/topic_model.py | TopicModel.evaluate | def evaluate(self, train_data, test_data=None, metric='perplexity'):
"""
Estimate the model's ability to predict new data. Imagine you have a
corpus of books. One common approach to evaluating topic models is to
train on the first half of all of the books and see how well the model
... | python | def evaluate(self, train_data, test_data=None, metric='perplexity'):
"""
Estimate the model's ability to predict new data. Imagine you have a
corpus of books. One common approach to evaluating topic models is to
train on the first half of all of the books and see how well the model
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apple/turicreate | src/unity/python/turicreate/toolkits/object_detector/_detection.py | bbox_to_ybox | def bbox_to_ybox(bbox):
"""Convert from corner bounding box to center/shape"""
return [
(bbox[1] + bbox[3]) / 2,
(bbox[0] + bbox[2]) / 2,
(bbox[3] - bbox[1]),
(bbox[2] - bbox[0]),
] | python | def bbox_to_ybox(bbox):
"""Convert from corner bounding box to center/shape"""
return [
(bbox[1] + bbox[3]) / 2,
(bbox[0] + bbox[2]) / 2,
(bbox[3] - bbox[1]),
(bbox[2] - bbox[0]),
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apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | _raise_error_if_not_drawing_classifier_input_sframe | def _raise_error_if_not_drawing_classifier_input_sframe(
dataset, feature, target):
"""
Performs some sanity checks on the SFrame provided as input to
`turicreate.drawing_classifier.create` and raises a ToolkitError
if something in the dataset is missing or wrong.
"""
from turicreate.toolki... | python | def _raise_error_if_not_drawing_classifier_input_sframe(
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"""
Performs some sanity checks on the SFrame provided as input to
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apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | create | def create(input_dataset, target, feature=None, validation_set='auto',
warm_start='auto', batch_size=256,
max_iterations=100, verbose=True):
"""
Create a :class:`DrawingClassifier` model.
Parameters
----------
dataset : SFrame
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warm_start='auto', batch_size=256,
max_iterations=100, verbose=True):
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Create a :class:`DrawingClassifier` model.
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dataset : SFrame
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apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | DrawingClassifier.export_coreml | def export_coreml(self, filename, verbose=False):
"""
Save the model in Core ML format. The Core ML model takes a grayscale
drawing of fixed size as input and produces two outputs:
`classLabel` and `labelProbabilities`.
The first one, `classLabel` is an integer or string (depe... | python | def export_coreml(self, filename, verbose=False):
"""
Save the model in Core ML format. The Core ML model takes a grayscale
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apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | DrawingClassifier._predict_with_probabilities | def _predict_with_probabilities(self, input_dataset, batch_size=None,
verbose=True):
"""
Predict with probabilities. The core prediction part that both
`evaluate` and `predict` share.
Returns an SFrame with two columns, self.target, and "probabilities".
The column wit... | python | def _predict_with_probabilities(self, input_dataset, batch_size=None,
verbose=True):
"""
Predict with probabilities. The core prediction part that both
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Returns an SFrame with two columns, self.target, and "probabilities".
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apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | DrawingClassifier.evaluate | def evaluate(self, dataset, metric='auto', batch_size=None, verbose=True):
"""
Evaluate the model by making predictions of target values and comparing
these to actual values.
Parameters
----------
dataset : SFrame
Dataset of new observations. Must inc... | python | def evaluate(self, dataset, metric='auto', batch_size=None, verbose=True):
"""
Evaluate the model by making predictions of target values and comparing
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----------
dataset : SFrame
Dataset of new observations. Must inc... | [
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apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | DrawingClassifier.predict_topk | def predict_topk(self, dataset, output_type="probability", k=3,
batch_size=None):
"""
Return top-k predictions for the ``dataset``, using the trained model.
Predictions are returned as an SFrame with three columns: `id`,
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batch_size=None):
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apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | DrawingClassifier.predict | def predict(self, data, output_type='class', batch_size=None, verbose=True):
"""
Predict on an SFrame or SArray of drawings, or on a single drawing.
Parameters
----------
data : SFrame | SArray | tc.Image | list
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"""
Predict on an SFrame or SArray of drawings, or on a single drawing.
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data : SFrame | SArray | tc.Image | list
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apple/turicreate | src/unity/python/turicreate/toolkits/_image_feature_extractor.py | MXFeatureExtractor.extract_features | def extract_features(self, dataset, feature, batch_size=64, verbose=False):
"""
Parameters
----------
dataset: SFrame
SFrame of images
"""
from ._mxnet._mx_sframe_iter import SFrameImageIter as _SFrameImageIter
from six.moves.queue import Queue as _Que... | python | def extract_features(self, dataset, feature, batch_size=64, verbose=False):
"""
Parameters
----------
dataset: SFrame
SFrame of images
"""
from ._mxnet._mx_sframe_iter import SFrameImageIter as _SFrameImageIter
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apple/turicreate | src/unity/python/turicreate/toolkits/_image_feature_extractor.py | MXFeatureExtractor.get_coreml_model | def get_coreml_model(self, mode = 'classifier'):
"""
Parameters
----------
mode: str ('classifier', 'regressor' or None)
Mode of the converted coreml model.
When mode = 'classifier', a NeuralNetworkClassifier spec will be constructed.
When mode = 'regr... | python | def get_coreml_model(self, mode = 'classifier'):
"""
Parameters
----------
mode: str ('classifier', 'regressor' or None)
Mode of the converted coreml model.
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apple/turicreate | src/unity/python/turicreate/toolkits/_pre_trained_models.py | DarkNetObjectDetectorBase.available_parameters_subset | def available_parameters_subset(self, mx_params):
"""
Takes an mxnet parameter collect (from Block.collect_params()) and
subsets it with the parameters available in this base network.
"""
from copy import copy
from collections import OrderedDict
subset_params = co... | python | def available_parameters_subset(self, mx_params):
"""
Takes an mxnet parameter collect (from Block.collect_params()) and
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"""
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apple/turicreate | src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py | _BOW_FEATURE_EXTRACTOR | def _BOW_FEATURE_EXTRACTOR(sf, target=None):
"""
Return an SFrame containing a bag of words representation of each column.
"""
if isinstance(sf, dict):
out = _tc.SArray([sf]).unpack('')
elif isinstance(sf, _tc.SFrame):
out = sf.__copy__()
else:
raise ValueError("Unrecogni... | python | def _BOW_FEATURE_EXTRACTOR(sf, target=None):
"""
Return an SFrame containing a bag of words representation of each column.
"""
if isinstance(sf, dict):
out = _tc.SArray([sf]).unpack('')
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apple/turicreate | src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py | create | def create(dataset, target, features = None, drop_stop_words = True,
word_count_threshold = 2, method = 'auto', validation_set = 'auto',
max_iterations = 10):
"""
Create a model that trains a classifier to classify text from a
collection of documents. The model is a
:class:`~turicr... | python | def create(dataset, target, features = None, drop_stop_words = True,
word_count_threshold = 2, method = 'auto', validation_set = 'auto',
max_iterations = 10):
"""
Create a model that trains a classifier to classify text from a
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apple/turicreate | src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py | _get_str_columns | def _get_str_columns(sf):
"""
Returns a list of names of columns that are string type.
"""
return [name for name in sf.column_names() if sf[name].dtype == str] | python | def _get_str_columns(sf):
"""
Returns a list of names of columns that are string type.
"""
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apple/turicreate | src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py | TextClassifier.predict | def predict(self, dataset, output_type='class'):
"""
Return predictions for ``dataset``, using the trained model.
Parameters
----------
dataset : SFrame
dataset of new observations. Must include columns with the same
names as the features used for model t... | python | def predict(self, dataset, output_type='class'):
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apple/turicreate | src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py | TextClassifier.classify | def classify(self, dataset):
"""
Return a classification, for each example in the ``dataset``, using the
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labels as well as probabilities that the predicted value is the
associated label.
Parameters
... | python | def classify(self, dataset):
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apple/turicreate | src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py | TextClassifier.evaluate | def evaluate(self, dataset, metric='auto', **kwargs):
"""
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dataset : SFrame
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apple/turicreate | src/external/coremltools_wrap/coremltools/coremltools/converters/sklearn/_SVR.py | _generate_base_svm_regression_spec | def _generate_base_svm_regression_spec(model):
"""
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"""
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spec = _Model_pb... | python | def _generate_base_svm_regression_spec(model):
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Takes an SVM regression model produces a starting spec using the parts.
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"""
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Parameters
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model: SVR
A trained SVR encoder model.
feature_names: [str]
Name of the input columns.
target: str
Name of the output column.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _VerifyExtensionHandle | def _VerifyExtensionHandle(message, extension_handle):
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddEnumValues | def _AddEnumValues(descriptor, cls):
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descriptor: Descriptor object for this message type.
cls: Class we're constructing for this message type.
"""
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descriptor: Descriptor object for this message type.
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field: FieldDescriptor object for this field.
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message: Message instance containing this field, or a weakref proxy
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _ReraiseTypeErrorWithFieldName | def _ReraiseTypeErrorWithFieldName(message_name, field_name):
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exc = TypeError('%s for field %s.%s' % (... | python | def _ReraiseTypeErrorWithFieldName(message_name, field_name):
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddInitMethod | def _AddInitMethod(message_descriptor, cls):
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def _GetIntegerEnumValue(enum_type, value):
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _GetFieldByName | def _GetFieldByName(message_descriptor, field_name):
"""Returns a field descriptor by field name.
Args:
message_descriptor: A Descriptor describing all fields in message.
field_name: The name of the field to retrieve.
Returns:
The field descriptor associated with the field name.
"""
try:
retu... | python | def _GetFieldByName(message_descriptor, field_name):
"""Returns a field descriptor by field name.
Args:
message_descriptor: A Descriptor describing all fields in message.
field_name: The name of the field to retrieve.
Returns:
The field descriptor associated with the field name.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddPropertiesForFields | def _AddPropertiesForFields(descriptor, cls):
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for field in descriptor.fields:
_AddPropertiesForField(field, cls)
if descriptor.is_extendable:
# _ExtensionDict is just an adaptor with no state so we allocate a new one
# every time it ... | python | def _AddPropertiesForFields(descriptor, cls):
"""Adds properties for all fields in this protocol message type."""
for field in descriptor.fields:
_AddPropertiesForField(field, cls)
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddPropertiesForField | def _AddPropertiesForField(field, cls):
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Clients can use this property to get and (in the case
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field: A FieldDescriptor for this field.
cls: The class we're ... | python | def _AddPropertiesForField(field, cls):
"""Adds a public property for a protocol message field.
Clients can use this property to get and (in the case
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddPropertiesForRepeatedField | def _AddPropertiesForRepeatedField(field, cls):
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can use this property to get the value of the field, which will be either a
_RepeatedScalarFieldContainer or _RepeatedCompositeFieldContainer (see
below).
Note that when clients add val... | python | def _AddPropertiesForRepeatedField(field, cls):
"""Adds a public property for a "repeated" protocol message field. Clients
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddPropertiesForNonRepeatedScalarField | def _AddPropertiesForNonRepeatedScalarField(field, cls):
"""Adds a public property for a nonrepeated, scalar protocol message field.
Clients can use this property to get and directly set the value of the field.
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all necessary "has" bits ... | python | def _AddPropertiesForNonRepeatedScalarField(field, cls):
"""Adds a public property for a nonrepeated, scalar protocol message field.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddPropertiesForExtensions | def _AddPropertiesForExtensions(descriptor, cls):
"""Adds properties for all fields in this protocol message type."""
extension_dict = descriptor.extensions_by_name
for extension_name, extension_field in extension_dict.items():
constant_name = extension_name.upper() + "_FIELD_NUMBER"
setattr(cls, constant... | python | def _AddPropertiesForExtensions(descriptor, cls):
"""Adds properties for all fields in this protocol message type."""
extension_dict = descriptor.extensions_by_name
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _IsPresent | def _IsPresent(item):
"""Given a (FieldDescriptor, value) tuple from _fields, return true if the
value should be included in the list returned by ListFields()."""
if item[0].label == _FieldDescriptor.LABEL_REPEATED:
return bool(item[1])
elif item[0].cpp_type == _FieldDescriptor.CPPTYPE_MESSAGE:
return ... | python | def _IsPresent(item):
"""Given a (FieldDescriptor, value) tuple from _fields, return true if the
value should be included in the list returned by ListFields()."""
if item[0].label == _FieldDescriptor.LABEL_REPEATED:
return bool(item[1])
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddListFieldsMethod | def _AddListFieldsMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def ListFields(self):
all_fields = [item for item in self._fields.items() if _IsPresent(item)]
all_fields.sort(key = lambda item: item[0].number)
return all_fields
cls.ListFields = ListFields | python | def _AddListFieldsMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def ListFields(self):
all_fields = [item for item in self._fields.items() if _IsPresent(item)]
all_fields.sort(key = lambda item: item[0].number)
return all_fields
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddHasFieldMethod | def _AddHasFieldMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
is_proto3 = (message_descriptor.syntax == "proto3")
error_msg = _Proto3HasError if is_proto3 else _Proto2HasError
hassable_fields = {}
for field in message_descriptor.fields:
if field.label == _FieldDescriptor.LABEL_... | python | def _AddHasFieldMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
is_proto3 = (message_descriptor.syntax == "proto3")
error_msg = _Proto3HasError if is_proto3 else _Proto2HasError
hassable_fields = {}
for field in message_descriptor.fields:
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddClearFieldMethod | def _AddClearFieldMethod(message_descriptor, cls):
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except KeyError:
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field = message_descriptor.oneofs_by_name[field_name]
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"""Helper for _AddMessageMethods()."""
def ClearField(self, field_name):
try:
field = message_descriptor.fields_by_name[field_name]
except KeyError:
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field = message_descriptor.oneofs_by_name[field_name]
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddClearExtensionMethod | def _AddClearExtensionMethod(cls):
"""Helper for _AddMessageMethods()."""
def ClearExtension(self, extension_handle):
_VerifyExtensionHandle(self, extension_handle)
# Similar to ClearField(), above.
if extension_handle in self._fields:
del self._fields[extension_handle]
self._Modified()
cls... | python | def _AddClearExtensionMethod(cls):
"""Helper for _AddMessageMethods()."""
def ClearExtension(self, extension_handle):
_VerifyExtensionHandle(self, extension_handle)
# Similar to ClearField(), above.
if extension_handle in self._fields:
del self._fields[extension_handle]
self._Modified()
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddHasExtensionMethod | def _AddHasExtensionMethod(cls):
"""Helper for _AddMessageMethods()."""
def HasExtension(self, extension_handle):
_VerifyExtensionHandle(self, extension_handle)
if extension_handle.label == _FieldDescriptor.LABEL_REPEATED:
raise KeyError('"%s" is repeated.' % extension_handle.full_name)
if extens... | python | def _AddHasExtensionMethod(cls):
"""Helper for _AddMessageMethods()."""
def HasExtension(self, extension_handle):
_VerifyExtensionHandle(self, extension_handle)
if extension_handle.label == _FieldDescriptor.LABEL_REPEATED:
raise KeyError('"%s" is repeated.' % extension_handle.full_name)
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _InternalUnpackAny | def _InternalUnpackAny(msg):
"""Unpacks Any message and returns the unpacked message.
This internal method is different from public Any Unpack method which takes
the target message as argument. _InternalUnpackAny method does not have
target message type and need to find the message type in descriptor pool.
... | python | def _InternalUnpackAny(msg):
"""Unpacks Any message and returns the unpacked message.
This internal method is different from public Any Unpack method which takes
the target message as argument. _InternalUnpackAny method does not have
target message type and need to find the message type in descriptor pool.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddEqualsMethod | def _AddEqualsMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __eq__(self, other):
if (not isinstance(other, message_mod.Message) or
other.DESCRIPTOR != self.DESCRIPTOR):
return False
if self is other:
return True
if self.DESCRIPTOR.full_name == _AnyFull... | python | def _AddEqualsMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __eq__(self, other):
if (not isinstance(other, message_mod.Message) or
other.DESCRIPTOR != self.DESCRIPTOR):
return False
if self is other:
return True
if self.DESCRIPTOR.full_name == _AnyFull... | [
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddStrMethod | def _AddStrMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __str__(self):
return text_format.MessageToString(self)
cls.__str__ = __str__ | python | def _AddStrMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __str__(self):
return text_format.MessageToString(self)
cls.__str__ = __str__ | [
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddReprMethod | def _AddReprMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __repr__(self):
return text_format.MessageToString(self)
cls.__repr__ = __repr__ | python | def _AddReprMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __repr__(self):
return text_format.MessageToString(self)
cls.__repr__ = __repr__ | [
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddUnicodeMethod | def _AddUnicodeMethod(unused_message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __unicode__(self):
return text_format.MessageToString(self, as_utf8=True).decode('utf-8')
cls.__unicode__ = __unicode__ | python | def _AddUnicodeMethod(unused_message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __unicode__(self):
return text_format.MessageToString(self, as_utf8=True).decode('utf-8')
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _BytesForNonRepeatedElement | def _BytesForNonRepeatedElement(value, field_number, field_type):
"""Returns the number of bytes needed to serialize a non-repeated element.
The returned byte count includes space for tag information and any
other additional space associated with serializing value.
Args:
value: Value we're serializing.
... | python | def _BytesForNonRepeatedElement(value, field_number, field_type):
"""Returns the number of bytes needed to serialize a non-repeated element.
The returned byte count includes space for tag information and any
other additional space associated with serializing value.
Args:
value: Value we're serializing.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddByteSizeMethod | def _AddByteSizeMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def ByteSize(self):
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return self._cached_byte_size
size = 0
for field_descriptor, field_value in self.ListFields():
size += field_descriptor._sizer(field_value)
... | python | def _AddByteSizeMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def ByteSize(self):
if not self._cached_byte_size_dirty:
return self._cached_byte_size
size = 0
for field_descriptor, field_value in self.ListFields():
size += field_descriptor._sizer(field_value)
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddSerializeToStringMethod | def _AddSerializeToStringMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def SerializeToString(self):
# Check if the message has all of its required fields set.
errors = []
if not self.IsInitialized():
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"""Helper for _AddMessageMethods()."""
def SerializeToString(self):
# Check if the message has all of its required fields set.
errors = []
if not self.IsInitialized():
raise message_mod.EncodeError(
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddSerializePartialToStringMethod | def _AddSerializePartialToStringMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def SerializePartialToString(self):
out = BytesIO()
self._InternalSerialize(out.write)
return out.getvalue()
cls.SerializePartialToString = SerializePartialToString
def InternalSerialize(self, w... | python | def _AddSerializePartialToStringMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def SerializePartialToString(self):
out = BytesIO()
self._InternalSerialize(out.write)
return out.getvalue()
cls.SerializePartialToString = SerializePartialToString
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddMergeFromStringMethod | def _AddMergeFromStringMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def MergeFromString(self, serialized):
length = len(serialized)
try:
if self._InternalParse(serialized, 0, length) != length:
# The only reason _InternalParse would return early is if it
# en... | python | def _AddMergeFromStringMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def MergeFromString(self, serialized):
length = len(serialized)
try:
if self._InternalParse(serialized, 0, length) != length:
# The only reason _InternalParse would return early is if it
# en... | [
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddIsInitializedMethod | def _AddIsInitializedMethod(message_descriptor, cls):
"""Adds the IsInitialized and FindInitializationError methods to the
protocol message class."""
required_fields = [field for field in message_descriptor.fields
if field.label == _FieldDescriptor.LABEL_REQUIRED]
def IsInitialized(... | python | def _AddIsInitializedMethod(message_descriptor, cls):
"""Adds the IsInitialized and FindInitializationError methods to the
protocol message class."""
required_fields = [field for field in message_descriptor.fields
if field.label == _FieldDescriptor.LABEL_REQUIRED]
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddMessageMethods | def _AddMessageMethods(message_descriptor, cls):
"""Adds implementations of all Message methods to cls."""
_AddListFieldsMethod(message_descriptor, cls)
_AddHasFieldMethod(message_descriptor, cls)
_AddClearFieldMethod(message_descriptor, cls)
if message_descriptor.is_extendable:
_AddClearExtensionMethod(c... | python | def _AddMessageMethods(message_descriptor, cls):
"""Adds implementations of all Message methods to cls."""
_AddListFieldsMethod(message_descriptor, cls)
_AddHasFieldMethod(message_descriptor, cls)
_AddClearFieldMethod(message_descriptor, cls)
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddPrivateHelperMethods | def _AddPrivateHelperMethods(message_descriptor, cls):
"""Adds implementation of private helper methods to cls."""
def Modified(self):
"""Sets the _cached_byte_size_dirty bit to true,
and propagates this to our listener iff this was a state change.
"""
# Note: Some callers check _cached_byte_size... | python | def _AddPrivateHelperMethods(message_descriptor, cls):
"""Adds implementation of private helper methods to cls."""
def Modified(self):
"""Sets the _cached_byte_size_dirty bit to true,
and propagates this to our listener iff this was a state change.
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _OneofListener.Modified | def Modified(self):
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try:
self._parent_message_weakref._UpdateOneofState(self._field)
super(_OneofListener, self).Modified()
except ReferenceError:
pass | python | def Modified(self):
"""Also updates the state of the containing oneof in the parent message."""
try:
self._parent_message_weakref._UpdateOneofState(self._field)
super(_OneofListener, self).Modified()
except ReferenceError:
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/enum_type_wrapper.py | EnumTypeWrapper.Name | def Name(self, number):
"""Returns a string containing the name of an enum value."""
if number in self._enum_type.values_by_number:
return self._enum_type.values_by_number[number].name
raise ValueError('Enum %s has no name defined for value %d' % (
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"""Returns a string containing the name of an enum value."""
if number in self._enum_type.values_by_number:
return self._enum_type.values_by_number[number].name
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/enum_type_wrapper.py | EnumTypeWrapper.Value | def Value(self, name):
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if name in self._enum_type.values_by_name:
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raise ValueError('Enum %s has no value defined for name %s' % (
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"""Returns the value coresponding to the given enum name."""
if name in self._enum_type.values_by_name:
return self._enum_type.values_by_name[name].number
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apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/enum_type_wrapper.py | EnumTypeWrapper.items | def items(self):
"""Return a list of the (name, value) pairs of the enum.
These are returned in the order they were defined in the .proto file.
"""
return [(value_descriptor.name, value_descriptor.number)
for value_descriptor in self._enum_type.values] | python | def items(self):
"""Return a list of the (name, value) pairs of the enum.
These are returned in the order they were defined in the .proto file.
"""
return [(value_descriptor.name, value_descriptor.number)
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apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | _load_tcmps_lib | def _load_tcmps_lib():
"""
Load global singleton of tcmps lib handler.
This function is used not used at the top level, so
that the shared library is loaded lazily only when needed.
"""
global _g_TCMPS_LIB
if _g_TCMPS_LIB is None:
# This library requires macOS 10.14 or above
... | python | def _load_tcmps_lib():
"""
Load global singleton of tcmps lib handler.
This function is used not used at the top level, so
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"""
global _g_TCMPS_LIB
if _g_TCMPS_LIB is None:
# This library requires macOS 10.14 or above
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apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | has_fast_mps_support | def has_fast_mps_support():
"""
Returns True if the environment has MPS backend support
and a high-power (fast) device is available.
"""
lib = _load_tcmps_lib()
if lib is None:
return False
c_bool = _ctypes.c_bool()
ret = lib.TCMPSHasHighPowerMetalDevice(_ctypes.byref(c_bool))
... | python | def has_fast_mps_support():
"""
Returns True if the environment has MPS backend support
and a high-power (fast) device is available.
"""
lib = _load_tcmps_lib()
if lib is None:
return False
c_bool = _ctypes.c_bool()
ret = lib.TCMPSHasHighPowerMetalDevice(_ctypes.byref(c_bool))
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apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | mps_device_name | def mps_device_name():
"""
Returns name of MPS device that will be used, else None.
"""
lib = _load_tcmps_lib()
if lib is None:
return None
n = 256
c_name = (_ctypes.c_char * n)()
ret = lib.TCMPSMetalDeviceName(_ctypes.byref(c_name), _ctypes.c_int32(n))
if ret == 0:
... | python | def mps_device_name():
"""
Returns name of MPS device that will be used, else None.
"""
lib = _load_tcmps_lib()
if lib is None:
return None
n = 256
c_name = (_ctypes.c_char * n)()
ret = lib.TCMPSMetalDeviceName(_ctypes.byref(c_name), _ctypes.c_int32(n))
if ret == 0:
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apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | mps_device_memory_limit | def mps_device_memory_limit():
"""
Returns the memory size in bytes that can be effectively allocated on the
MPS device that will be used, or None if no suitable device is available.
"""
lib = _load_tcmps_lib()
if lib is None:
return None
c_size = _ctypes.c_uint64()
ret = lib.TC... | python | def mps_device_memory_limit():
"""
Returns the memory size in bytes that can be effectively allocated on the
MPS device that will be used, or None if no suitable device is available.
"""
lib = _load_tcmps_lib()
if lib is None:
return None
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apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | MpsFloatArray.shape | def shape(self):
"""Copy the shape from TCMPS as a new numpy ndarray."""
# Create C variables that will serve as out parameters for TCMPS.
shape_ptr = _ctypes.POINTER(_ctypes.c_size_t)() # size_t* shape_ptr
dim = _ctypes.c_size_t() # size_t dim
# Obtain... | python | def shape(self):
"""Copy the shape from TCMPS as a new numpy ndarray."""
# Create C variables that will serve as out parameters for TCMPS.
shape_ptr = _ctypes.POINTER(_ctypes.c_size_t)() # size_t* shape_ptr
dim = _ctypes.c_size_t() # size_t dim
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apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | MpsFloatArray.asnumpy | def asnumpy(self):
"""Copy the data from TCMPS into a new numpy ndarray"""
# Create C variables that will serve as out parameters for TCMPS.
data_ptr = _ctypes.POINTER(_ctypes.c_float)() # float* data_ptr
shape_ptr = _ctypes.POINTER(_ctypes.c_size_t)() # size_t* shape_ptr
di... | python | def asnumpy(self):
"""Copy the data from TCMPS into a new numpy ndarray"""
# Create C variables that will serve as out parameters for TCMPS.
data_ptr = _ctypes.POINTER(_ctypes.c_float)() # float* data_ptr
shape_ptr = _ctypes.POINTER(_ctypes.c_size_t)() # size_t* shape_ptr
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apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | MpsGraphAPI.train | def train(self, input, label):
"""
Submits an input batch to the model. Returns a MpsFloatArray
representing the batch loss. Calling asnumpy() on this value will wait
for the batch to finish and yield the loss as a numpy array.
"""
assert self._mode == MpsGraphMode.Train... | python | def train(self, input, label):
"""
Submits an input batch to the model. Returns a MpsFloatArray
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for the batch to finish and yield the loss as a numpy array.
"""
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apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | MpsGraphAPI.predict | def predict(self, input):
"""
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"""
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"""
Submits an input batch to the model. Returns a MpsFloatArray
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apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | MpsGraphAPI.train_return_grad | def train_return_grad(self, input, grad):
"""
Performs a forward pass from the input batch, followed by a backward
pass using the provided gradient (in place of a loss function). Returns
a MpsFloatArray representing the output (final gradient) of the backward
pass. Calling asnump... | python | def train_return_grad(self, input, grad):
"""
Performs a forward pass from the input batch, followed by a backward
pass using the provided gradient (in place of a loss function). Returns
a MpsFloatArray representing the output (final gradient) of the backward
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Miserlou/Zappa | zappa/asynchronous.py | route_sns_task | def route_sns_task(event, context):
"""
Gets SNS Message, deserialises the message,
imports the function, calls the function with args
"""
record = event['Records'][0]
message = json.loads(
record['Sns']['Message']
)
return run_message(message) | python | def route_sns_task(event, context):
"""
Gets SNS Message, deserialises the message,
imports the function, calls the function with args
"""
record = event['Records'][0]
message = json.loads(
record['Sns']['Message']
)
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Miserlou/Zappa | zappa/asynchronous.py | run_message | def run_message(message):
"""
Runs a function defined by a message object with keys:
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and a 'command' in handler.py
"""
if message.get('capture_response', False):
DYNAMODB_CLIENT.put_item(
TableName=ASYNC_RESPONSE_TABLE,... | python | def run_message(message):
"""
Runs a function defined by a message object with keys:
'task_path', 'args', and 'kwargs' used by lambda routing
and a 'command' in handler.py
"""
if message.get('capture_response', False):
DYNAMODB_CLIENT.put_item(
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Miserlou/Zappa | zappa/asynchronous.py | run | def run(func, args=[], kwargs={}, service='lambda', capture_response=False,
remote_aws_lambda_function_name=None, remote_aws_region=None, **task_kwargs):
"""
Instead of decorating a function with @task, you can just run it directly.
If you were going to do func(*args, **kwargs), then you will call t... | python | def run(func, args=[], kwargs={}, service='lambda', capture_response=False,
remote_aws_lambda_function_name=None, remote_aws_region=None, **task_kwargs):
"""
Instead of decorating a function with @task, you can just run it directly.
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Miserlou/Zappa | zappa/asynchronous.py | task | def task(*args, **kwargs):
"""Async task decorator so that running
Args:
func (function): the function to be wrapped
Further requirements:
func must be an independent top-level function.
i.e. not a class method or an anonymous function
service (str): eit... | python | def task(*args, **kwargs):
"""Async task decorator so that running
Args:
func (function): the function to be wrapped
Further requirements:
func must be an independent top-level function.
i.e. not a class method or an anonymous function
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Miserlou/Zappa | zappa/asynchronous.py | import_and_get_task | def import_and_get_task(task_path):
"""
Given a modular path to a function, import that module
and return the function.
"""
module, function = task_path.rsplit('.', 1)
app_module = importlib.import_module(module)
app_function = getattr(app_module, function)
return app_function | python | def import_and_get_task(task_path):
"""
Given a modular path to a function, import that module
and return the function.
"""
module, function = task_path.rsplit('.', 1)
app_module = importlib.import_module(module)
app_function = getattr(app_module, function)
return app_function | [
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Miserlou/Zappa | zappa/asynchronous.py | get_func_task_path | def get_func_task_path(func):
"""
Format the modular task path for a function via inspection.
"""
module_path = inspect.getmodule(func).__name__
task_path = '{module_path}.{func_name}'.format(
module_path=module_path,
fu... | python | def get_func_task_path(func):
"""
Format the modular task path for a function via inspection.
"""
module_path = inspect.getmodule(func).__name__
task_path = '{module_path}.{func_name}'.format(
module_path=module_path,
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Miserlou/Zappa | zappa/asynchronous.py | get_async_response | def get_async_response(response_id):
"""
Get the response from the async table
"""
response = DYNAMODB_CLIENT.get_item(
TableName=ASYNC_RESPONSE_TABLE,
Key={'id': {'S': str(response_id)}}
)
if 'Item' not in response:
return None
return {
'status': response['I... | python | def get_async_response(response_id):
"""
Get the response from the async table
"""
response = DYNAMODB_CLIENT.get_item(
TableName=ASYNC_RESPONSE_TABLE,
Key={'id': {'S': str(response_id)}}
)
if 'Item' not in response:
return None
return {
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Miserlou/Zappa | zappa/asynchronous.py | LambdaAsyncResponse.send | def send(self, task_path, args, kwargs):
"""
Create the message object and pass it to the actual sender.
"""
message = {
'task_path': task_path,
'capture_response': self.capture_response,
'response_id': self.response_id,
'ar... | python | def send(self, task_path, args, kwargs):
"""
Create the message object and pass it to the actual sender.
"""
message = {
'task_path': task_path,
'capture_response': self.capture_response,
'response_id': self.response_id,
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Miserlou/Zappa | zappa/asynchronous.py | LambdaAsyncResponse._send | def _send(self, message):
"""
Given a message, directly invoke the lamdba function for this task.
"""
message['command'] = 'zappa.asynchronous.route_lambda_task'
payload = json.dumps(message).encode('utf-8')
if len(payload) > LAMBDA_ASYNC_PAYLOAD_LIMIT: # pragma: no cover... | python | def _send(self, message):
"""
Given a message, directly invoke the lamdba function for this task.
"""
message['command'] = 'zappa.asynchronous.route_lambda_task'
payload = json.dumps(message).encode('utf-8')
if len(payload) > LAMBDA_ASYNC_PAYLOAD_LIMIT: # pragma: no cover... | [
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Miserlou/Zappa | zappa/asynchronous.py | SnsAsyncResponse._send | def _send(self, message):
"""
Given a message, publish to this topic.
"""
message['command'] = 'zappa.asynchronous.route_sns_task'
payload = json.dumps(message).encode('utf-8')
if len(payload) > LAMBDA_ASYNC_PAYLOAD_LIMIT: # pragma: no cover
raise AsyncExcepti... | python | def _send(self, message):
"""
Given a message, publish to this topic.
"""
message['command'] = 'zappa.asynchronous.route_sns_task'
payload = json.dumps(message).encode('utf-8')
if len(payload) > LAMBDA_ASYNC_PAYLOAD_LIMIT: # pragma: no cover
raise AsyncExcepti... | [
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Miserlou/Zappa | zappa/utilities.py | parse_s3_url | def parse_s3_url(url):
"""
Parses S3 URL.
Returns bucket (domain) and file (full path).
"""
bucket = ''
path = ''
if url:
result = urlparse(url)
bucket = result.netloc
path = result.path.strip('/')
return bucket, path | python | def parse_s3_url(url):
"""
Parses S3 URL.
Returns bucket (domain) and file (full path).
"""
bucket = ''
path = ''
if url:
result = urlparse(url)
bucket = result.netloc
path = result.path.strip('/')
return bucket, path | [
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Miserlou/Zappa | zappa/utilities.py | string_to_timestamp | def string_to_timestamp(timestring):
"""
Accepts a str, returns an int timestamp.
"""
ts = None
# Uses an extended version of Go's duration string.
try:
delta = durationpy.from_str(timestring);
past = datetime.datetime.utcnow() - delta
ts = calendar.timegm(past.timetupl... | python | def string_to_timestamp(timestring):
"""
Accepts a str, returns an int timestamp.
"""
ts = None
# Uses an extended version of Go's duration string.
try:
delta = durationpy.from_str(timestring);
past = datetime.datetime.utcnow() - delta
ts = calendar.timegm(past.timetupl... | [
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Miserlou/Zappa | zappa/utilities.py | detect_django_settings | def detect_django_settings():
"""
Automatically try to discover Django settings files,
return them as relative module paths.
"""
matches = []
for root, dirnames, filenames in os.walk(os.getcwd()):
for filename in fnmatch.filter(filenames, '*settings.py'):
full = os.path.join... | python | def detect_django_settings():
"""
Automatically try to discover Django settings files,
return them as relative module paths.
"""
matches = []
for root, dirnames, filenames in os.walk(os.getcwd()):
for filename in fnmatch.filter(filenames, '*settings.py'):
full = os.path.join... | [
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Miserlou/Zappa | zappa/utilities.py | detect_flask_apps | def detect_flask_apps():
"""
Automatically try to discover Flask apps files,
return them as relative module paths.
"""
matches = []
for root, dirnames, filenames in os.walk(os.getcwd()):
for filename in fnmatch.filter(filenames, '*.py'):
full = os.path.join(root, filename)
... | python | def detect_flask_apps():
"""
Automatically try to discover Flask apps files,
return them as relative module paths.
"""
matches = []
for root, dirnames, filenames in os.walk(os.getcwd()):
for filename in fnmatch.filter(filenames, '*.py'):
full = os.path.join(root, filename)
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Miserlou/Zappa | zappa/utilities.py | add_event_source | def add_event_source(event_source, lambda_arn, target_function, boto_session, dry=False):
"""
Given an event_source dictionary, create the object and add the event source.
"""
event_source_obj, ctx, funk = get_event_source(event_source, lambda_arn, target_function, boto_session, dry=False)
# TODO: ... | python | def add_event_source(event_source, lambda_arn, target_function, boto_session, dry=False):
"""
Given an event_source dictionary, create the object and add the event source.
"""
event_source_obj, ctx, funk = get_event_source(event_source, lambda_arn, target_function, boto_session, dry=False)
# TODO: ... | [
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Miserlou/Zappa | zappa/utilities.py | remove_event_source | def remove_event_source(event_source, lambda_arn, target_function, boto_session, dry=False):
"""
Given an event_source dictionary, create the object and remove the event source.
"""
event_source_obj, ctx, funk = get_event_source(event_source, lambda_arn, target_function, boto_session, dry=False)
#... | python | def remove_event_source(event_source, lambda_arn, target_function, boto_session, dry=False):
"""
Given an event_source dictionary, create the object and remove the event source.
"""
event_source_obj, ctx, funk = get_event_source(event_source, lambda_arn, target_function, boto_session, dry=False)
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Miserlou/Zappa | zappa/utilities.py | get_event_source_status | def get_event_source_status(event_source, lambda_arn, target_function, boto_session, dry=False):
"""
Given an event_source dictionary, create the object and get the event source status.
"""
event_source_obj, ctx, funk = get_event_source(event_source, lambda_arn, target_function, boto_session, dry=False... | python | def get_event_source_status(event_source, lambda_arn, target_function, boto_session, dry=False):
"""
Given an event_source dictionary, create the object and get the event source status.
"""
event_source_obj, ctx, funk = get_event_source(event_source, lambda_arn, target_function, boto_session, dry=False... | [
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Miserlou/Zappa | zappa/utilities.py | check_new_version_available | def check_new_version_available(this_version):
"""
Checks if a newer version of Zappa is available.
Returns True is updateable, else False.
"""
import requests
pypi_url = 'https://pypi.python.org/pypi/Zappa/json'
resp = requests.get(pypi_url, timeout=1.5)
top_version = resp.json()['in... | python | def check_new_version_available(this_version):
"""
Checks if a newer version of Zappa is available.
Returns True is updateable, else False.
"""
import requests
pypi_url = 'https://pypi.python.org/pypi/Zappa/json'
resp = requests.get(pypi_url, timeout=1.5)
top_version = resp.json()['in... | [
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Miserlou/Zappa | zappa/utilities.py | validate_name | def validate_name(name, maxlen=80):
"""Validate name for AWS Lambda function.
name: actual name (without `arn:aws:lambda:...:` prefix and without
`:$LATEST`, alias or version suffix.
maxlen: max allowed length for name without prefix and suffix.
The value 80 was calculated from prefix with long... | python | def validate_name(name, maxlen=80):
"""Validate name for AWS Lambda function.
name: actual name (without `arn:aws:lambda:...:` prefix and without
`:$LATEST`, alias or version suffix.
maxlen: max allowed length for name without prefix and suffix.
The value 80 was calculated from prefix with long... | [
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Miserlou/Zappa | zappa/utilities.py | contains_python_files_or_subdirs | def contains_python_files_or_subdirs(folder):
"""
Checks (recursively) if the directory contains .py or .pyc files
"""
for root, dirs, files in os.walk(folder):
if [filename for filename in files if filename.endswith('.py') or filename.endswith('.pyc')]:
return True
for d in... | python | def contains_python_files_or_subdirs(folder):
"""
Checks (recursively) if the directory contains .py or .pyc files
"""
for root, dirs, files in os.walk(folder):
if [filename for filename in files if filename.endswith('.py') or filename.endswith('.pyc')]:
return True
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Miserlou/Zappa | zappa/utilities.py | conflicts_with_a_neighbouring_module | def conflicts_with_a_neighbouring_module(directory_path):
"""
Checks if a directory lies in the same directory as a .py file with the same name.
"""
parent_dir_path, current_dir_name = os.path.split(os.path.normpath(directory_path))
neighbours = os.listdir(parent_dir_path)
conflicting_neighbour_... | python | def conflicts_with_a_neighbouring_module(directory_path):
"""
Checks if a directory lies in the same directory as a .py file with the same name.
"""
parent_dir_path, current_dir_name = os.path.split(os.path.normpath(directory_path))
neighbours = os.listdir(parent_dir_path)
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Miserlou/Zappa | zappa/utilities.py | is_valid_bucket_name | def is_valid_bucket_name(name):
"""
Checks if an S3 bucket name is valid according to https://docs.aws.amazon.com/AmazonS3/latest/dev/BucketRestrictions.html#bucketnamingrules
"""
# Bucket names must be at least 3 and no more than 63 characters long.
if (len(name) < 3 or len(name) > 63):
ret... | python | def is_valid_bucket_name(name):
"""
Checks if an S3 bucket name is valid according to https://docs.aws.amazon.com/AmazonS3/latest/dev/BucketRestrictions.html#bucketnamingrules
"""
# Bucket names must be at least 3 and no more than 63 characters long.
if (len(name) < 3 or len(name) > 63):
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Miserlou/Zappa | zappa/utilities.py | merge_headers | def merge_headers(event):
"""
Merge the values of headers and multiValueHeaders into a single dict.
Opens up support for multivalue headers via API Gateway and ALB.
See: https://github.com/Miserlou/Zappa/pull/1756
"""
headers = event.get('headers') or {}
multi_headers = (event.get('multiValu... | python | def merge_headers(event):
"""
Merge the values of headers and multiValueHeaders into a single dict.
Opens up support for multivalue headers via API Gateway and ALB.
See: https://github.com/Miserlou/Zappa/pull/1756
"""
headers = event.get('headers') or {}
multi_headers = (event.get('multiValu... | [
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Miserlou/Zappa | zappa/wsgi.py | create_wsgi_request | def create_wsgi_request(event_info,
server_name='zappa',
script_name=None,
trailing_slash=True,
binary_support=False,
base_path=None,
context_header_mappings={},
... | python | def create_wsgi_request(event_info,
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script_name=None,
trailing_slash=True,
binary_support=False,
base_path=None,
context_header_mappings={},
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Miserlou/Zappa | zappa/wsgi.py | common_log | def common_log(environ, response, response_time=None):
"""
Given the WSGI environ and the response,
log this event in Common Log Format.
"""
logger = logging.getLogger()
if response_time:
formatter = ApacheFormatter(with_response_time=True)
try:
log_entry = formatt... | python | def common_log(environ, response, response_time=None):
"""
Given the WSGI environ and the response,
log this event in Common Log Format.
"""
logger = logging.getLogger()
if response_time:
formatter = ApacheFormatter(with_response_time=True)
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Miserlou/Zappa | zappa/handler.py | LambdaHandler.load_remote_project_archive | def load_remote_project_archive(self, project_zip_path):
"""
Puts the project files from S3 in /tmp and adds to path
"""
project_folder = '/tmp/{0!s}'.format(self.settings.PROJECT_NAME)
if not os.path.isdir(project_folder):
# The project folder doesn't exist in this c... | python | def load_remote_project_archive(self, project_zip_path):
"""
Puts the project files from S3 in /tmp and adds to path
"""
project_folder = '/tmp/{0!s}'.format(self.settings.PROJECT_NAME)
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Miserlou/Zappa | zappa/handler.py | LambdaHandler.load_remote_settings | def load_remote_settings(self, remote_bucket, remote_file):
"""
Attempt to read a file from s3 containing a flat json object. Adds each
key->value pair as environment variables. Helpful for keeping
sensitiZve or stage-specific configuration variables in s3 instead of
version cont... | python | def load_remote_settings(self, remote_bucket, remote_file):
"""
Attempt to read a file from s3 containing a flat json object. Adds each
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Miserlou/Zappa | zappa/handler.py | LambdaHandler.import_module_and_get_function | def import_module_and_get_function(whole_function):
"""
Given a modular path to a function, import that module
and return the function.
"""
module, function = whole_function.rsplit('.', 1)
app_module = importlib.import_module(module)
app_function = getattr(app_mod... | python | def import_module_and_get_function(whole_function):
"""
Given a modular path to a function, import that module
and return the function.
"""
module, function = whole_function.rsplit('.', 1)
app_module = importlib.import_module(module)
app_function = getattr(app_mod... | [
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and return the function. | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
Miserlou/Zappa | zappa/handler.py | LambdaHandler.run_function | def run_function(app_function, event, context):
"""
Given a function and event context,
detect signature and execute, returning any result.
"""
# getargspec does not support python 3 method with type hints
# Related issue: https://github.com/Miserlou/Zappa/issues/1452
... | python | def run_function(app_function, event, context):
"""
Given a function and event context,
detect signature and execute, returning any result.
"""
# getargspec does not support python 3 method with type hints
# Related issue: https://github.com/Miserlou/Zappa/issues/1452
... | [
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Miserlou/Zappa | zappa/handler.py | LambdaHandler.get_function_for_aws_event | def get_function_for_aws_event(self, record):
"""
Get the associated function to execute for a triggered AWS event
Support S3, SNS, DynamoDB, kinesis and SQS events
"""
if 's3' in record:
if ':' in record['s3']['configurationId']:
return record['s3'][... | python | def get_function_for_aws_event(self, record):
"""
Get the associated function to execute for a triggered AWS event
Support S3, SNS, DynamoDB, kinesis and SQS events
"""
if 's3' in record:
if ':' in record['s3']['configurationId']:
return record['s3'][... | [
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Support S3, SNS, DynamoDB, kinesis and SQS events | [
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Miserlou/Zappa | zappa/handler.py | LambdaHandler.get_function_from_bot_intent_trigger | def get_function_from_bot_intent_trigger(self, event):
"""
For the given event build ARN and return the configured function
"""
intent = event.get('currentIntent')
if intent:
intent = intent.get('name')
if intent:
return self.settings.AWS_B... | python | def get_function_from_bot_intent_trigger(self, event):
"""
For the given event build ARN and return the configured function
"""
intent = event.get('currentIntent')
if intent:
intent = intent.get('name')
if intent:
return self.settings.AWS_B... | [
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Miserlou/Zappa | zappa/handler.py | LambdaHandler.get_function_for_cognito_trigger | def get_function_for_cognito_trigger(self, trigger):
"""
Get the associated function to execute for a cognito trigger
"""
print("get_function_for_cognito_trigger", self.settings.COGNITO_TRIGGER_MAPPING, trigger, self.settings.COGNITO_TRIGGER_MAPPING.get(trigger))
return self.sett... | python | def get_function_for_cognito_trigger(self, trigger):
"""
Get the associated function to execute for a cognito trigger
"""
print("get_function_for_cognito_trigger", self.settings.COGNITO_TRIGGER_MAPPING, trigger, self.settings.COGNITO_TRIGGER_MAPPING.get(trigger))
return self.sett... | [
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Miserlou/Zappa | zappa/handler.py | LambdaHandler.handler | def handler(self, event, context):
"""
An AWS Lambda function which parses specific API Gateway input into a
WSGI request, feeds it to our WSGI app, procceses the response, and returns
that back to the API Gateway.
"""
settings = self.settings
# If in DEBUG mode... | python | def handler(self, event, context):
"""
An AWS Lambda function which parses specific API Gateway input into a
WSGI request, feeds it to our WSGI app, procceses the response, and returns
that back to the API Gateway.
"""
settings = self.settings
# If in DEBUG mode... | [
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object. | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
Miserlou/Zappa | example/authmodule.py | lambda_handler | def lambda_handler(event, context):
print("Client token: " + event['authorizationToken'])
print("Method ARN: " + event['methodArn'])
"""validate the incoming token"""
"""and produce the principal user identifier associated with the token"""
"""this could be accomplished in a number of ways:"""
... | python | def lambda_handler(event, context):
print("Client token: " + event['authorizationToken'])
print("Method ARN: " + event['methodArn'])
"""validate the incoming token"""
"""and produce the principal user identifier associated with the token"""
"""this could be accomplished in a number of ways:"""
... | [
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] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/example/authmodule.py#L15-L61 | train | This function is called when the lambda function is called. | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
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