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train | RepeatedCompositeFieldContainer.add | Adds a new element at the end of the list and returns it. Keyword
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"""
new_element = self._message_descriptor._concrete_class(**kwargs)
new_element._SetListener(self._message_listener)
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train | RepeatedCompositeFieldContainer.extend | Extends by appending the given sequence of elements of the same type
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train | difference | Returns the elements of B that are not in A. | deps/src/boost_1_68_0/tools/build/src/util/set.py | def difference (b, a):
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train | intersection | Removes from set1 any items which don't appear in set2 and returns the result. | deps/src/boost_1_68_0/tools/build/src/util/set.py | def intersection (set1, set2):
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train | contains | Returns true iff all elements of 'small' exist in 'large'. | deps/src/boost_1_68_0/tools/build/src/util/set.py | def contains (small, large):
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train | equal | Returns True iff 'a' contains the same elements as 'b', irrespective of their order.
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train | annotate | Annotate your images loaded in either an SFrame or SArray Format
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When the GUI is... | src/unity/python/turicreate/toolkits/image_classifier/_annotate.py | def annotate(data, image_column=None, annotation_column='annotations'):
"""
Annotate your images loaded in either an SFrame or SArray Format
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Annotate your images loaded in either an SFrame or SArray Format
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train | recover_annotation | Recover the last annotated SFrame.
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out : SFrame
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Recover the last annotated SFrame.
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train | convert | Convert a DictVectorizer model to the protobuf spec.
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A fitted DictVectorizer model.
input_features: str
Name of the input column.
output_features: str
Name of the output column.
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Name of the input column.
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train | print_callback | Internal function.
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train | run | Internal function to execute toolkit on the turicreate server.
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The name of the toolkit.
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The name of the toolkit.
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train | _RoundTowardZero | Truncates the remainder part after division. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def _RoundTowardZero(value, divider):
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train | _IsValidPath | Checks whether the path is valid for Message Descriptor. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def _IsValidPath(message_descriptor, path):
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train | _CheckFieldMaskMessage | Raises ValueError if message is not a FieldMask. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def _CheckFieldMaskMessage(message):
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train | _SnakeCaseToCamelCase | Converts a path name from snake_case to camelCase. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def _SnakeCaseToCamelCase(path_name):
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train | _AddFieldPaths | Adds the field paths descended from node to field_mask. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def _AddFieldPaths(node, prefix, field_mask):
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train | Any.Pack | Packs the specified message into current Any message. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def Pack(self, msg, type_url_prefix='type.googleapis.com/'):
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train | Any.Unpack | Unpacks the current Any message into specified message. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def Unpack(self, msg):
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train | Timestamp.ToJsonString | Converts Timestamp to RFC 3339 date string format.
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train | Timestamp.FromNanoseconds | Converts nanoseconds since epoch to Timestamp. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def FromNanoseconds(self, nanos):
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train | Timestamp.FromMicroseconds | Converts microseconds since epoch to Timestamp. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def FromMicroseconds(self, micros):
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train | Timestamp.FromMilliseconds | Converts milliseconds since epoch to Timestamp. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def FromMilliseconds(self, millis):
"""Converts milliseconds since epoch to Timestamp."""
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train | Timestamp.ToDatetime | Converts Timestamp to datetime. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def ToDatetime(self):
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train | Timestamp.FromDatetime | Converts datetime to Timestamp. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def FromDatetime(self, dt):
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train | Duration.ToMicroseconds | Converts a Duration to microseconds. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def ToMicroseconds(self):
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train | Duration.ToMilliseconds | Converts a Duration to milliseconds. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def ToMilliseconds(self):
"""Converts a Duration to milliseconds."""
millis = _RoundTowardZero(self.nanos, _NANOS_PER_MILLISECOND)
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train | Duration.FromMicroseconds | Converts microseconds to Duration. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def FromMicroseconds(self, micros):
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train | Duration.FromMilliseconds | Converts milliseconds to Duration. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def FromMilliseconds(self, millis):
"""Converts milliseconds to Duration."""
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train | Duration.ToTimedelta | Converts Duration to timedelta. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def ToTimedelta(self):
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return timedelta(
seconds=self.seconds, microseconds=_RoundTowardZero(
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train | Duration.FromTimedelta | Convertd timedelta to Duration. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def FromTimedelta(self, td):
"""Convertd timedelta to Duration."""
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train | Duration._NormalizeDuration | Set Duration by seconds and nonas. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def _NormalizeDuration(self, seconds, nanos):
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train | FieldMask.ToJsonString | Converts FieldMask to string according to proto3 JSON spec. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def ToJsonString(self):
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train | FieldMask.IsValidForDescriptor | Checks whether the FieldMask is valid for Message Descriptor. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def IsValidForDescriptor(self, message_descriptor):
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train | FieldMask.AllFieldsFromDescriptor | Gets all direct fields of Message Descriptor to FieldMask. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def AllFieldsFromDescriptor(self, message_descriptor):
"""Gets all direct fields of Message Descriptor to FieldMask."""
self.Clear()
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self.paths.append(field.name) | def AllFieldsFromDescriptor(self, message_descriptor):
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train | FieldMask.Union | Merges mask1 and mask2 into this FieldMask. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def Union(self, mask1, mask2):
"""Merges mask1 and mask2 into this FieldMask."""
_CheckFieldMaskMessage(mask1)
_CheckFieldMaskMessage(mask2)
tree = _FieldMaskTree(mask1)
tree.MergeFromFieldMask(mask2)
tree.ToFieldMask(self) | def Union(self, mask1, mask2):
"""Merges mask1 and mask2 into this FieldMask."""
_CheckFieldMaskMessage(mask1)
_CheckFieldMaskMessage(mask2)
tree = _FieldMaskTree(mask1)
tree.MergeFromFieldMask(mask2)
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train | FieldMask.Intersect | Intersects mask1 and mask2 into this FieldMask. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def Intersect(self, mask1, mask2):
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train | FieldMask.MergeMessage | Merges fields specified in FieldMask from source to destination.
Args:
source: Source message.
destination: The destination message to be merged into.
replace_message_field: Replace message field if True. Merge message
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replace_repeated_field: Replace repeated field... | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def MergeMessage(
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Args:
source: Source message.
destination: The destination message to be merged into.
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self, source, destination,
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Args:
source: Source message.
destination: The destination message to be merged into.
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train | _FieldMaskTree.AddPath | Adds a field path into the tree.
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"""Adds a field path into the tree.
If the field path to add is a sub-path of an existing field path
in the tree (i.e., a leaf node), it means the tree already matches
the given path so nothing will be added to the tree. If the path
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"""Adds a field path into the tree.
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train | _FieldMaskTree.IntersectPath | Calculates the intersection part of a field path with this tree.
Args:
path: The field path to calculates.
intersection: The out tree to record the intersection part. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def IntersectPath(self, path, intersection):
"""Calculates the intersection part of a field path with this tree.
Args:
path: The field path to calculates.
intersection: The out tree to record the intersection part.
"""
node = self._root
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path: The field path to calculates.
intersection: The out tree to record the intersection part.
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node = self._root
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train | _FieldMaskTree.AddLeafNodes | Adds leaf nodes begin with prefix to this tree. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def AddLeafNodes(self, prefix, node):
"""Adds leaf nodes begin with prefix to this tree."""
if not node:
self.AddPath(prefix)
for name in node:
child_path = prefix + '.' + name
self.AddLeafNodes(child_path, node[name]) | def AddLeafNodes(self, prefix, node):
"""Adds leaf nodes begin with prefix to this tree."""
if not node:
self.AddPath(prefix)
for name in node:
child_path = prefix + '.' + name
self.AddLeafNodes(child_path, node[name]) | [
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train | _FieldMaskTree.MergeMessage | Merge all fields specified by this tree from source to destination. | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/well_known_types.py | def MergeMessage(
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"""Merge all fields specified by this tree from source to destination."""
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train | configure | Configures a new resource compilation command specific to a condition,
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* <rc-type>(rc|windres) - Indicates the type of options the command
accepts.
Even though the arguments are all optional, only when a command... | deps/src/boost_1_68_0/tools/build/src/tools/rc.py | def configure (command = None, condition = None, options = None):
"""
Configures a new resource compilation command specific to a condition,
usually a toolset selection condition. The possible options are:
* <rc-type>(rc|windres) - Indicates the type of options the command
... | def configure (command = None, condition = None, options = None):
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Configures a new resource compilation command specific to a condition,
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train | convert | Convert a Nu Support Vector Regression (NuSVR) model to the protobuf spec.
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model: NuSVR
A trained NuSVR encoder model.
feature_names: [str]
Name of the input columns.
target: str
Name of the output column.
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Parameters
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model: NuSVR
A trained NuSVR encoder model.
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Name of the input columns.
target: str
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train | create | Create a :class:`~turicreate.linear_regression.LinearRegression` to
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train | LinearRegression.export_coreml | Export the model in Core ML format.
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filename: str
A valid filename where the model can be saved.
Examples
--------
>>> model.export_coreml("MyModel.mlmodel") | src/unity/python/turicreate/toolkits/regression/linear_regression.py | def export_coreml(self, filename):
"""
Export the model in Core ML format.
Parameters
----------
filename: str
A valid filename where the model can be saved.
Examples
--------
>>> model.export_coreml("MyModel.mlmodel")
"""
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"""
Export the model in Core ML format.
Parameters
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filename: str
A valid filename where the model can be saved.
Examples
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>>> model.export_coreml("MyModel.mlmodel")
"""
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train | LinearRegression.predict | Return target value predictions for ``dataset``, using the trained
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Parameters
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dataset : SFrame | pandas.Dataframe
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Return target value predictions for ``dataset``, using the trained
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train | LinearRegression.evaluate | r"""Evaluate the model by making target value predictions and comparing
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train | frame | Convert array into a sequence of successive possibly overlapping frames.
An n-dimensional array of shape (num_samples, ...) is converted into an
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starts hop_length points after the preceding one.
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train | periodic_hann | Calculate a "periodic" Hann window.
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train | stft_magnitude | Calculate the short-time Fourier transform magnitude.
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signal: 1D np.array of the input time-domain signal.
fft_length: Size of the FFT to apply.
hop_length: Advance (in samples) between each frame passed to FFT.
window_length: Length of each block of samples to pass to FFT.
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"""Calculate the short-time Fourier transform magnitude.
Args:
signal: 1D np.array of the input time-domain signal.
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signal: 1D np.array of the input time-domain signal.
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train | spectrogram_to_mel_matrix | Return a matrix that can post-multiply spectrogram rows to make mel.
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spectrogram values (STFT magnitudes) arranged as frames x bins to generate a
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train | log_mel_spectrogram | Convert waveform to a log magnitude mel-frequency spectrogram.
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data: 1D np.array of waveform data.
audio_sample_rate: The sampling rate of data.
log_offset: Add this to values when taking log to avoid -Infs.
window_length_secs: Duration of each window to analyze.
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window_length_secs=0.025,
hop_length_secs=0.010,
**kwargs):
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train | generate_random_sframe | Creates a random SFrame with `num_rows` rows and randomly
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`column_types` is a string with each character denoting one type
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"""
Creates a random SFrame with `num_rows` rows and randomly
generated column types determined by `column_codes`. The output
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train | generate_random_regression_sframe | Creates a random SFrame with `num_rows` rows and randomly
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Creates a random SFrame with `num_rows` rows and randomly
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train | generate_random_classification_sframe | Creates a random SFrame with `num_rows` rows and randomly
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train | infer_shapes | Input:
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train | convert | Convert a svm model to the protobuf spec.
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train | create | Create an :class:`ActivityClassifier` model.
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train | _encode_target | Encode targets to integers in [0, num_classes - 1] | src/unity/python/turicreate/toolkits/activity_classifier/_activity_classifier.py | def _encode_target(data, target, mapping=None):
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train | ActivityClassifier.export_coreml | Export the model in Core ML format.
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A valid filename where the model can be saved.
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"""
Export the model in Core ML format.
Parameters
----------
filename: str
A valid filename where the model can be saved.
Examples
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>>> model.export_coreml("MyModel.mlmodel")
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Export the model in Core ML format.
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filename: str
A valid filename where the model can be saved.
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... | src/unity/python/turicreate/toolkits/activity_classifier/_activity_classifier.py | def classify(self, dataset, output_frequency='per_row'):
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train | count_characters | Count the occurrances of the different characters in the files | deps/src/boost_1_68_0/libs/metaparse/tools/benchmark/char_stat.py | def count_characters(root, out):
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train | main | The main function of the script | deps/src/boost_1_68_0/libs/metaparse/tools/benchmark/char_stat.py | def main():
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train | save_spec | Save a protobuf model specification to file.
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spec: Model_pb
Protobuf representation of the model
filename: str
File path where the spec gets saved.
Examples
--------
.. sourcecode:: python
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Protobuf representation of the model
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File path where the spec gets saved.
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Protobuf representation of the model
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File path where the spec gets saved.
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Location on disk (a valid filepath) from which the file is loaded
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Returns
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model_spec: Model_pb
Protobuf representation of the model
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... | src/external/coremltools_wrap/coremltools/coremltools/models/utils.py | def load_spec(filename):
"""
Load a protobuf model specification from file
Parameters
----------
filename: str
Location on disk (a valid filepath) from which the file is loaded
as a protobuf spec.
Returns
-------
model_spec: Model_pb
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Load a protobuf model specification from file
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Location on disk (a valid filepath) from which the file is loaded
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train | _get_nn_layers | Returns a list of neural network layers if the model contains any.
Parameters
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spec: Model_pb
A model protobuf specification.
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Parameters
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spec: Model_pb
A model protobuf specification.
Returns
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list of all layers (including layers from elements of a pipeline
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Returns a list of neural network layers if the model contains any.
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A model protobuf specification.
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list of all layers (including layers from elements of a pipeline
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train | evaluate_regressor | Evaluate a CoreML regression model and compare against predictions
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File path from which to load the MLModel from (OR) a loaded version of
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train | evaluate_classifier | Evaluate a CoreML classifier model and compare against predictions
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train | evaluate_classifier_with_probabilities | Evaluate a classifier specification for testing.
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Test data on which to evaluate the models (dataframe,
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Evaluate a classifier specification for testing.
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Evaluate a classifier specification for testing.
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train | rename_feature | Rename a feature in the specification.
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The specification containing the feature to rename.
current_name: str
Current name of the feature. If this feature doesn't exist, the rename
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"""
Rename a feature in the specification.
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spec: Model_pb
The specification containing the feature to rename.
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Rename a feature in the specification.
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The specification containing the feature to rename.
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train | _sanitize_value | Performs cleaning steps on the data so various type comparisons can
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train | _element_equal | Performs a robust equality test between elements. | src/external/coremltools_wrap/coremltools/coremltools/models/utils.py | def _element_equal(x, y):
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Performs a robust equality test between elements.
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train | evaluate_transformer | Evaluate a transformer specification for testing.
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File from where to load the Model from (OR) a loaded
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input_data: list[dict]
Test data on which to evaluate the models.
reference_output: list[dict]
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"""
Evaluate a transformer specification for testing.
Parameters
----------
spec: [str | MLModel]
File from where to load the Model from (OR) a loaded
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Evaluate a transformer specification for testing.
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train | _get_input_names | Returns a list of the names of the inputs to this model.
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out : DegreeCountingModel
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graph : SGraph
The graph on which to compute degree counts.
verbose : bool, optional
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Compute the in degree, out degree and total degree of each vertex.
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train | Example.replace_emphasis | replace the index'th emphasized text with s | deps/src/boost_1_68_0/tools/litre/cplusplus.py | def replace_emphasis(self, s, index = 0):
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train | CPlusPlusTranslator._execute | Override of litre._execute; sets up variable context before
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train | ProjectRegistry.load | Loads jamfile at the given location. After loading, project global
file and jamfile needed by the loaded one will be loaded recursively.
If the jamfile at that location is loaded already, does nothing.
Returns the project module for the Jamfile. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def load (self, jamfile_location):
"""Loads jamfile at the given location. After loading, project global
file and jamfile needed by the loaded one will be loaded recursively.
If the jamfile at that location is loaded already, does nothing.
Returns the project module for the Jamfile."""
... | def load (self, jamfile_location):
"""Loads jamfile at the given location. After loading, project global
file and jamfile needed by the loaded one will be loaded recursively.
If the jamfile at that location is loaded already, does nothing.
Returns the project module for the Jamfile."""
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train | ProjectRegistry.load_parent | Loads parent of Jamfile at 'location'.
Issues an error if nothing is found. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def load_parent(self, location):
"""Loads parent of Jamfile at 'location'.
Issues an error if nothing is found."""
assert isinstance(location, basestring)
found = b2.util.path.glob_in_parents(
location, self.JAMROOT + self.JAMFILE)
if not found:
print "er... | def load_parent(self, location):
"""Loads parent of Jamfile at 'location'.
Issues an error if nothing is found."""
assert isinstance(location, basestring)
found = b2.util.path.glob_in_parents(
location, self.JAMROOT + self.JAMFILE)
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train | ProjectRegistry.find | Given 'name' which can be project-id or plain directory name,
return project module corresponding to that id or directory.
Returns nothing of project is not found. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def find(self, name, current_location):
"""Given 'name' which can be project-id or plain directory name,
return project module corresponding to that id or directory.
Returns nothing of project is not found."""
assert isinstance(name, basestring)
assert isinstance(current_location... | def find(self, name, current_location):
"""Given 'name' which can be project-id or plain directory name,
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Returns nothing of project is not found."""
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train | ProjectRegistry.module_name | Returns the name of module corresponding to 'jamfile-location'.
If no module corresponds to location yet, associates default
module name with that location. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def module_name(self, jamfile_location):
"""Returns the name of module corresponding to 'jamfile-location'.
If no module corresponds to location yet, associates default
module name with that location."""
assert isinstance(jamfile_location, basestring)
module = self.location2modul... | def module_name(self, jamfile_location):
"""Returns the name of module corresponding to 'jamfile-location'.
If no module corresponds to location yet, associates default
module name with that location."""
assert isinstance(jamfile_location, basestring)
module = self.location2modul... | [
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train | ProjectRegistry.find_jamfile | Find the Jamfile at the given location. This returns the
exact names of all the Jamfiles in the given directory. The optional
parent-root argument causes this to search not the given directory
but the ones above it up to the directory given in it. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def find_jamfile (self, dir, parent_root=0, no_errors=0):
"""Find the Jamfile at the given location. This returns the
exact names of all the Jamfiles in the given directory. The optional
parent-root argument causes this to search not the given directory
but the ones above it up to the di... | def find_jamfile (self, dir, parent_root=0, no_errors=0):
"""Find the Jamfile at the given location. This returns the
exact names of all the Jamfiles in the given directory. The optional
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train | ProjectRegistry.load_jamfile | Load a Jamfile at the given directory. Returns nothing.
Will attempt to load the file as indicated by the JAMFILE patterns.
Effect of calling this rule twice with the same 'dir' is underfined. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def load_jamfile(self, dir, jamfile_module):
"""Load a Jamfile at the given directory. Returns nothing.
Will attempt to load the file as indicated by the JAMFILE patterns.
Effect of calling this rule twice with the same 'dir' is underfined."""
assert isinstance(dir, basestring)
a... | def load_jamfile(self, dir, jamfile_module):
"""Load a Jamfile at the given directory. Returns nothing.
Will attempt to load the file as indicated by the JAMFILE patterns.
Effect of calling this rule twice with the same 'dir' is underfined."""
assert isinstance(dir, basestring)
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train | ProjectRegistry.load_standalone | Loads 'file' as standalone project that has no location
associated with it. This is mostly useful for user-config.jam,
which should be able to define targets, but although it has
some location in filesystem, we do not want any build to
happen in user's HOME, for example.
The ca... | deps/src/boost_1_68_0/tools/build/src/build/project.py | def load_standalone(self, jamfile_module, file):
"""Loads 'file' as standalone project that has no location
associated with it. This is mostly useful for user-config.jam,
which should be able to define targets, but although it has
some location in filesystem, we do not want any build to... | def load_standalone(self, jamfile_module, file):
"""Loads 'file' as standalone project that has no location
associated with it. This is mostly useful for user-config.jam,
which should be able to define targets, but although it has
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train | ProjectRegistry.initialize | Initialize the module for a project.
module-name is the name of the project module.
location is the location (directory) of the project to initialize.
If not specified, standalone project will be initialized
standalone_path is the path to the source-location.
... | deps/src/boost_1_68_0/tools/build/src/build/project.py | def initialize(self, module_name, location=None, basename=None, standalone_path=''):
"""Initialize the module for a project.
module-name is the name of the project module.
location is the location (directory) of the project to initialize.
If not specified, standalone project wi... | def initialize(self, module_name, location=None, basename=None, standalone_path=''):
"""Initialize the module for a project.
module-name is the name of the project module.
location is the location (directory) of the project to initialize.
If not specified, standalone project wi... | [
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train | ProjectRegistry.inherit_attributes | Make 'project-module' inherit attributes of project
root and parent module. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def inherit_attributes(self, project_module, parent_module):
"""Make 'project-module' inherit attributes of project
root and parent module."""
assert isinstance(project_module, basestring)
assert isinstance(parent_module, basestring)
attributes = self.module2attributes[project_m... | def inherit_attributes(self, project_module, parent_module):
"""Make 'project-module' inherit attributes of project
root and parent module."""
assert isinstance(project_module, basestring)
assert isinstance(parent_module, basestring)
attributes = self.module2attributes[project_m... | [
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train | ProjectRegistry.register_id | Associate the given id with the given project module. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def register_id(self, id, module):
"""Associate the given id with the given project module."""
assert isinstance(id, basestring)
assert isinstance(module, basestring)
self.id2module[id] = module | def register_id(self, id, module):
"""Associate the given id with the given project module."""
assert isinstance(id, basestring)
assert isinstance(module, basestring)
self.id2module[id] = module | [
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train | ProjectRegistry.push_current | Temporary changes the current project to 'project'. Should
be followed by 'pop-current'. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def push_current(self, project):
"""Temporary changes the current project to 'project'. Should
be followed by 'pop-current'."""
if __debug__:
from .targets import ProjectTarget
assert isinstance(project, ProjectTarget)
self.saved_current_project.append(self.curren... | def push_current(self, project):
"""Temporary changes the current project to 'project'. Should
be followed by 'pop-current'."""
if __debug__:
from .targets import ProjectTarget
assert isinstance(project, ProjectTarget)
self.saved_current_project.append(self.curren... | [
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train | ProjectRegistry.attribute | Returns the value of the specified attribute in the
specified jamfile module. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def attribute(self, project, attribute):
"""Returns the value of the specified attribute in the
specified jamfile module."""
assert isinstance(project, basestring)
assert isinstance(attribute, basestring)
try:
return self.module2attributes[project].get(attribute)
... | def attribute(self, project, attribute):
"""Returns the value of the specified attribute in the
specified jamfile module."""
assert isinstance(project, basestring)
assert isinstance(attribute, basestring)
try:
return self.module2attributes[project].get(attribute)
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train | ProjectRegistry.attributeDefault | Returns the value of the specified attribute in the
specified jamfile module. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def attributeDefault(self, project, attribute, default):
"""Returns the value of the specified attribute in the
specified jamfile module."""
assert isinstance(project, basestring)
assert isinstance(attribute, basestring)
assert isinstance(default, basestring) or default is None
... | def attributeDefault(self, project, attribute, default):
"""Returns the value of the specified attribute in the
specified jamfile module."""
assert isinstance(project, basestring)
assert isinstance(attribute, basestring)
assert isinstance(default, basestring) or default is None
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train | ProjectRegistry.target | Returns the project target corresponding to the 'project-module'. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def target(self, project_module):
"""Returns the project target corresponding to the 'project-module'."""
assert isinstance(project_module, basestring)
if project_module not in self.module2target:
self.module2target[project_module] = \
b2.build.targets.ProjectTarget(p... | def target(self, project_module):
"""Returns the project target corresponding to the 'project-module'."""
assert isinstance(project_module, basestring)
if project_module not in self.module2target:
self.module2target[project_module] = \
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"... | 74514c3f99e25b46f22c6e02977fe3da69221c2e |
train | ProjectRegistry.add_rule | Makes rule 'name' available to all subsequently loaded Jamfiles.
Calling that rule wil relay to 'callable'. | deps/src/boost_1_68_0/tools/build/src/build/project.py | def add_rule(self, name, callable_):
"""Makes rule 'name' available to all subsequently loaded Jamfiles.
Calling that rule wil relay to 'callable'."""
assert isinstance(name, basestring)
assert callable(callable_)
self.project_rules_.add_rule(name, callable_) | def add_rule(self, name, callable_):
"""Makes rule 'name' available to all subsequently loaded Jamfiles.
Calling that rule wil relay to 'callable'."""
assert isinstance(name, basestring)
assert callable(callable_)
self.project_rules_.add_rule(name, callable_) | [
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] | apple/turicreate | python | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/deps/src/boost_1_68_0/tools/build/src/build/project.py#L639-L645 | [
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train | ProjectRegistry.__build_python_module_cache | Recursively walks through the b2/src subdirectories and
creates an index of base module name to package name. The
index is stored within self.__python_module_cache and allows
for an O(1) module lookup.
For example, given the base module name `toolset`,
self.__python_module_cache... | deps/src/boost_1_68_0/tools/build/src/build/project.py | def __build_python_module_cache(self):
"""Recursively walks through the b2/src subdirectories and
creates an index of base module name to package name. The
index is stored within self.__python_module_cache and allows
for an O(1) module lookup.
For example, given the base module ... | def __build_python_module_cache(self):
"""Recursively walks through the b2/src subdirectories and
creates an index of base module name to package name. The
index is stored within self.__python_module_cache and allows
for an O(1) module lookup.
For example, given the base module ... | [
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... | apple/turicreate | python | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/deps/src/boost_1_68_0/tools/build/src/build/project.py#L693-L724 | [
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