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EpistasisLab/tpot | tpot/driver.py | _get_arg_parser | def _get_arg_parser():
"""Main function that is called when TPOT is run on the command line."""
parser = argparse.ArgumentParser(
description=(
'A Python tool that automatically creates and optimizes machine '
'learning pipelines using genetic programming.'
),
add... | python | def _get_arg_parser():
"""Main function that is called when TPOT is run on the command line."""
parser = argparse.ArgumentParser(
description=(
'A Python tool that automatically creates and optimizes machine '
'learning pipelines using genetic programming.'
),
add... | [
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EpistasisLab/tpot | tpot/driver.py | load_scoring_function | def load_scoring_function(scoring_func):
"""
converts mymodule.myfunc in the myfunc
object itself so tpot receives a scoring function
"""
if scoring_func and ("." in scoring_func):
try:
module_name, func_name = scoring_func.rsplit('.', 1)
module_path = os.getcwd()
... | python | def load_scoring_function(scoring_func):
"""
converts mymodule.myfunc in the myfunc
object itself so tpot receives a scoring function
"""
if scoring_func and ("." in scoring_func):
try:
module_name, func_name = scoring_func.rsplit('.', 1)
module_path = os.getcwd()
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EpistasisLab/tpot | tpot/driver.py | tpot_driver | def tpot_driver(args):
"""Perform a TPOT run."""
if args.VERBOSITY >= 2:
_print_args(args)
input_data = _read_data_file(args)
features = input_data.drop(args.TARGET_NAME, axis=1)
training_features, testing_features, training_target, testing_target = \
train_test_split(features, inp... | python | def tpot_driver(args):
"""Perform a TPOT run."""
if args.VERBOSITY >= 2:
_print_args(args)
input_data = _read_data_file(args)
features = input_data.drop(args.TARGET_NAME, axis=1)
training_features, testing_features, training_target, testing_target = \
train_test_split(features, inp... | [
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EpistasisLab/tpot | tpot/builtins/feature_set_selector.py | FeatureSetSelector.fit | def fit(self, X, y=None):
"""Fit FeatureSetSelector for feature selection
Parameters
----------
X: array-like of shape (n_samples, n_features)
The training input samples.
y: array-like, shape (n_samples,)
The target values (integers that correspond to cla... | python | def fit(self, X, y=None):
"""Fit FeatureSetSelector for feature selection
Parameters
----------
X: array-like of shape (n_samples, n_features)
The training input samples.
y: array-like, shape (n_samples,)
The target values (integers that correspond to cla... | [
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EpistasisLab/tpot | tpot/builtins/feature_set_selector.py | FeatureSetSelector.transform | def transform(self, X):
"""Make subset after fit
Parameters
----------
X: numpy ndarray, {n_samples, n_features}
New data, where n_samples is the number of samples and n_features is the number of features.
Returns
-------
X_transformed: array-like, s... | python | def transform(self, X):
"""Make subset after fit
Parameters
----------
X: numpy ndarray, {n_samples, n_features}
New data, where n_samples is the number of samples and n_features is the number of features.
Returns
-------
X_transformed: array-like, s... | [
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EpistasisLab/tpot | tpot/builtins/feature_set_selector.py | FeatureSetSelector._get_support_mask | def _get_support_mask(self):
"""
Get the boolean mask indicating which features are selected
Returns
-------
support : boolean array of shape [# input features]
An element is True iff its corresponding feature is selected for
retention.
"""
... | python | def _get_support_mask(self):
"""
Get the boolean mask indicating which features are selected
Returns
-------
support : boolean array of shape [# input features]
An element is True iff its corresponding feature is selected for
retention.
"""
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EpistasisLab/tpot | tpot/gp_deap.py | pick_two_individuals_eligible_for_crossover | def pick_two_individuals_eligible_for_crossover(population):
"""Pick two individuals from the population which can do crossover, that is, they share a primitive.
Parameters
----------
population: array of individuals
Returns
----------
tuple: (individual, individual)
Two individual... | python | def pick_two_individuals_eligible_for_crossover(population):
"""Pick two individuals from the population which can do crossover, that is, they share a primitive.
Parameters
----------
population: array of individuals
Returns
----------
tuple: (individual, individual)
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EpistasisLab/tpot | tpot/gp_deap.py | mutate_random_individual | def mutate_random_individual(population, toolbox):
"""Picks a random individual from the population, and performs mutation on a copy of it.
Parameters
----------
population: array of individuals
Returns
----------
individual: individual
An individual which is a mutated copy of one ... | python | def mutate_random_individual(population, toolbox):
"""Picks a random individual from the population, and performs mutation on a copy of it.
Parameters
----------
population: array of individuals
Returns
----------
individual: individual
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EpistasisLab/tpot | tpot/gp_deap.py | varOr | def varOr(population, toolbox, lambda_, cxpb, mutpb):
"""Part of an evolutionary algorithm applying only the variation part
(crossover, mutation **or** reproduction). The modified individuals have
their fitness invalidated. The individuals are cloned so returned
population is independent of the input po... | python | def varOr(population, toolbox, lambda_, cxpb, mutpb):
"""Part of an evolutionary algorithm applying only the variation part
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EpistasisLab/tpot | tpot/gp_deap.py | initialize_stats_dict | def initialize_stats_dict(individual):
'''
Initializes the stats dict for individual
The statistics initialized are:
'generation': generation in which the individual was evaluated. Initialized as: 0
'mutation_count': number of mutation operations applied to the individual and its predecessor... | python | def initialize_stats_dict(individual):
'''
Initializes the stats dict for individual
The statistics initialized are:
'generation': generation in which the individual was evaluated. Initialized as: 0
'mutation_count': number of mutation operations applied to the individual and its predecessor... | [
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EpistasisLab/tpot | tpot/gp_deap.py | eaMuPlusLambda | def eaMuPlusLambda(population, toolbox, mu, lambda_, cxpb, mutpb, ngen, pbar,
stats=None, halloffame=None, verbose=0, per_generation_function=None):
"""This is the :math:`(\mu + \lambda)` evolutionary algorithm.
:param population: A list of individuals.
:param toolbox: A :class:`~deap.bas... | python | def eaMuPlusLambda(population, toolbox, mu, lambda_, cxpb, mutpb, ngen, pbar,
stats=None, halloffame=None, verbose=0, per_generation_function=None):
"""This is the :math:`(\mu + \lambda)` evolutionary algorithm.
:param population: A list of individuals.
:param toolbox: A :class:`~deap.bas... | [
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EpistasisLab/tpot | tpot/gp_deap.py | cxOnePoint | def cxOnePoint(ind1, ind2):
"""Randomly select in each individual and exchange each subtree with the
point as root between each individual.
:param ind1: First tree participating in the crossover.
:param ind2: Second tree participating in the crossover.
:returns: A tuple of two trees.
"""
# L... | python | def cxOnePoint(ind1, ind2):
"""Randomly select in each individual and exchange each subtree with the
point as root between each individual.
:param ind1: First tree participating in the crossover.
:param ind2: Second tree participating in the crossover.
:returns: A tuple of two trees.
"""
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EpistasisLab/tpot | tpot/gp_deap.py | mutNodeReplacement | def mutNodeReplacement(individual, pset):
"""Replaces a randomly chosen primitive from *individual* by a randomly
chosen primitive no matter if it has the same number of arguments from the :attr:`pset`
attribute of the individual.
Parameters
----------
individual: DEAP individual
A list ... | python | def mutNodeReplacement(individual, pset):
"""Replaces a randomly chosen primitive from *individual* by a randomly
chosen primitive no matter if it has the same number of arguments from the :attr:`pset`
attribute of the individual.
Parameters
----------
individual: DEAP individual
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EpistasisLab/tpot | tpot/gp_deap.py | _wrapped_cross_val_score | def _wrapped_cross_val_score(sklearn_pipeline, features, target,
cv, scoring_function, sample_weight=None,
groups=None, use_dask=False):
"""Fit estimator and compute scores for a given dataset split.
Parameters
----------
sklearn_pipeline : pipe... | python | def _wrapped_cross_val_score(sklearn_pipeline, features, target,
cv, scoring_function, sample_weight=None,
groups=None, use_dask=False):
"""Fit estimator and compute scores for a given dataset split.
Parameters
----------
sklearn_pipeline : pipe... | [
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EpistasisLab/tpot | tpot/export_utils.py | get_by_name | def get_by_name(opname, operators):
"""Return operator class instance by name.
Parameters
----------
opname: str
Name of the sklearn class that belongs to a TPOT operator
operators: list
List of operator classes from operator library
Returns
-------
ret_op_class: class
... | python | def get_by_name(opname, operators):
"""Return operator class instance by name.
Parameters
----------
opname: str
Name of the sklearn class that belongs to a TPOT operator
operators: list
List of operator classes from operator library
Returns
-------
ret_op_class: class
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EpistasisLab/tpot | tpot/export_utils.py | export_pipeline | def export_pipeline(exported_pipeline,
operators, pset,
impute=False, pipeline_score=None,
random_state=None,
data_file_path=''):
"""Generate source code for a TPOT Pipeline.
Parameters
----------
exported_pipeline: deap.cr... | python | def export_pipeline(exported_pipeline,
operators, pset,
impute=False, pipeline_score=None,
random_state=None,
data_file_path=''):
"""Generate source code for a TPOT Pipeline.
Parameters
----------
exported_pipeline: deap.cr... | [
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EpistasisLab/tpot | tpot/export_utils.py | expr_to_tree | def expr_to_tree(ind, pset):
"""Convert the unstructured DEAP pipeline into a tree data-structure.
Parameters
----------
ind: deap.creator.Individual
The pipeline that is being exported
Returns
-------
pipeline_tree: list
List of operators in the current optimized pipeline
... | python | def expr_to_tree(ind, pset):
"""Convert the unstructured DEAP pipeline into a tree data-structure.
Parameters
----------
ind: deap.creator.Individual
The pipeline that is being exported
Returns
-------
pipeline_tree: list
List of operators in the current optimized pipeline
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EpistasisLab/tpot | tpot/export_utils.py | generate_import_code | def generate_import_code(pipeline, operators, impute=False):
"""Generate all library import calls for use in TPOT.export().
Parameters
----------
pipeline: List
List of operators in the current optimized pipeline
operators:
List of operator class from operator library
impute : b... | python | def generate_import_code(pipeline, operators, impute=False):
"""Generate all library import calls for use in TPOT.export().
Parameters
----------
pipeline: List
List of operators in the current optimized pipeline
operators:
List of operator class from operator library
impute : b... | [
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EpistasisLab/tpot | tpot/export_utils.py | generate_pipeline_code | def generate_pipeline_code(pipeline_tree, operators):
"""Generate code specific to the construction of the sklearn Pipeline.
Parameters
----------
pipeline_tree: list
List of operators in the current optimized pipeline
Returns
-------
Source code for the sklearn pipeline
"""
... | python | def generate_pipeline_code(pipeline_tree, operators):
"""Generate code specific to the construction of the sklearn Pipeline.
Parameters
----------
pipeline_tree: list
List of operators in the current optimized pipeline
Returns
-------
Source code for the sklearn pipeline
"""
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EpistasisLab/tpot | tpot/export_utils.py | generate_export_pipeline_code | def generate_export_pipeline_code(pipeline_tree, operators):
"""Generate code specific to the construction of the sklearn Pipeline for export_pipeline.
Parameters
----------
pipeline_tree: list
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EpistasisLab/tpot | tpot/export_utils.py | _indent | def _indent(text, amount):
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amount: int
The number of spaces to indent the text
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indented_text
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indentation = amount * ' '
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amount: int
The number of spaces to indent the text
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googleapis/google-cloud-python | api_core/google/api_core/page_iterator.py | Page.next | def next(self):
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item = six.next(self._item_iter)
result = self._item_to_value(self._parent, item)
# Since we've successfully got the next value from the
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self._remaining -= 1
retur... | python | def next(self):
"""Get the next value in the page."""
item = six.next(self._item_iter)
result = self._item_to_value(self._parent, item)
# Since we've successfully got the next value from the
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self._remaining -= 1
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googleapis/google-cloud-python | api_core/google/api_core/page_iterator.py | HTTPIterator._verify_params | def _verify_params(self):
"""Verifies the parameters don't use any reserved parameter.
Raises:
ValueError: If a reserved parameter is used.
"""
reserved_in_use = self._RESERVED_PARAMS.intersection(self.extra_params)
if reserved_in_use:
raise ValueError("U... | python | def _verify_params(self):
"""Verifies the parameters don't use any reserved parameter.
Raises:
ValueError: If a reserved parameter is used.
"""
reserved_in_use = self._RESERVED_PARAMS.intersection(self.extra_params)
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googleapis/google-cloud-python | api_core/google/api_core/page_iterator.py | HTTPIterator._next_page | def _next_page(self):
"""Get the next page in the iterator.
Returns:
Optional[Page]: The next page in the iterator or :data:`None` if
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"""
if self._has_next_page():
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item... | python | def _next_page(self):
"""Get the next page in the iterator.
Returns:
Optional[Page]: The next page in the iterator or :data:`None` if
there are no pages left.
"""
if self._has_next_page():
response = self._get_next_page_response()
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googleapis/google-cloud-python | api_core/google/api_core/page_iterator.py | HTTPIterator._get_query_params | def _get_query_params(self):
"""Getter for query parameters for the next request.
Returns:
dict: A dictionary of query parameters.
"""
result = {}
if self.next_page_token is not None:
result[self._PAGE_TOKEN] = self.next_page_token
if self.max_res... | python | def _get_query_params(self):
"""Getter for query parameters for the next request.
Returns:
dict: A dictionary of query parameters.
"""
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googleapis/google-cloud-python | api_core/google/api_core/page_iterator.py | HTTPIterator._get_next_page_response | def _get_next_page_response(self):
"""Requests the next page from the path provided.
Returns:
dict: The parsed JSON response of the next page's contents.
Raises:
ValueError: If the HTTP method is not ``GET`` or ``POST``.
"""
params = self._get_query_para... | python | def _get_next_page_response(self):
"""Requests the next page from the path provided.
Returns:
dict: The parsed JSON response of the next page's contents.
Raises:
ValueError: If the HTTP method is not ``GET`` or ``POST``.
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googleapis/google-cloud-python | api_core/google/api_core/page_iterator.py | _GAXIterator._next_page | def _next_page(self):
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Optional[Page]: The next page in the iterator or :data:`None` if
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googleapis/google-cloud-python | api_core/google/api_core/page_iterator.py | GRPCIterator._next_page | def _next_page(self):
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Page: The next page in the iterator or :data:`None` if
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"""
if not self._has_next_page():
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"""Get the next page in the iterator.
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googleapis/google-cloud-python | api_core/google/api_core/page_iterator.py | GRPCIterator._has_next_page | def _has_next_page(self):
"""Determines whether or not there are more pages with results.
Returns:
bool: Whether the iterator has more pages.
"""
if self.page_number == 0:
return True
if self.max_results is not None:
if self.num_results >= se... | python | def _has_next_page(self):
"""Determines whether or not there are more pages with results.
Returns:
bool: Whether the iterator has more pages.
"""
if self.page_number == 0:
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googleapis/google-cloud-python | firestore/google/cloud/firestore_v1beta1/order.py | Order.compare | def compare(cls, left, right):
"""
Main comparison function for all Firestore types.
@return -1 is left < right, 0 if left == right, otherwise 1
"""
# First compare the types.
leftType = TypeOrder.from_value(left).value
rightType = TypeOrder.from_value(right).valu... | python | def compare(cls, left, right):
"""
Main comparison function for all Firestore types.
@return -1 is left < right, 0 if left == right, otherwise 1
"""
# First compare the types.
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googleapis/google-cloud-python | vision/google/cloud/vision_v1p4beta1/gapic/image_annotator_client.py | ImageAnnotatorClient.batch_annotate_files | def batch_annotate_files(
self,
requests,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Service that performs image detection and annotation for a batch of files.
Now only "applica... | python | def batch_annotate_files(
self,
requests,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
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googleapis/google-cloud-python | vision/google/cloud/vision_v1p4beta1/gapic/image_annotator_client.py | ImageAnnotatorClient.async_batch_annotate_images | def async_batch_annotate_images(
self,
requests,
output_config,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
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Run asynchronous image detection and annotation for a list of images.
... | python | def async_batch_annotate_images(
self,
requests,
output_config,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
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googleapis/google-cloud-python | vision/google/cloud/vision_v1p4beta1/gapic/image_annotator_client.py | ImageAnnotatorClient.async_batch_annotate_files | def async_batch_annotate_files(
self,
requests,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
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Run asynchronous image detection and annotation for a list of generic
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metadata=None,
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googleapis/google-cloud-python | bigquery/google/cloud/bigquery/__init__.py | load_ipython_extension | def load_ipython_extension(ipython):
"""Called by IPython when this module is loaded as an IPython extension."""
from google.cloud.bigquery.magics import _cell_magic
ipython.register_magic_function(
_cell_magic, magic_kind="cell", magic_name="bigquery"
) | python | def load_ipython_extension(ipython):
"""Called by IPython when this module is loaded as an IPython extension."""
from google.cloud.bigquery.magics import _cell_magic
ipython.register_magic_function(
_cell_magic, magic_kind="cell", magic_name="bigquery"
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googleapis/google-cloud-python | api_core/google/api_core/exceptions.py | from_http_status | def from_http_status(status_code, message, **kwargs):
"""Create a :class:`GoogleAPICallError` from an HTTP status code.
Args:
status_code (int): The HTTP status code.
message (str): The exception message.
kwargs: Additional arguments passed to the :class:`GoogleAPICallError`
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"""Create a :class:`GoogleAPICallError` from an HTTP status code.
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status_code (int): The HTTP status code.
message (str): The exception message.
kwargs: Additional arguments passed to the :class:`GoogleAPICallError`
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googleapis/google-cloud-python | api_core/google/api_core/exceptions.py | from_http_response | def from_http_response(response):
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Args:
response (requests.Response): The HTTP response.
Returns:
GoogleAPICallError: An instance of the appropriate subclass of
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googleapis/google-cloud-python | api_core/google/api_core/exceptions.py | from_grpc_status | def from_grpc_status(status_code, message, **kwargs):
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Args:
status_code (grpc.StatusCode): The gRPC status code.
message (str): The exception message.
kwargs: Additional arguments passed to the :class:`GoogleAPICal... | python | def from_grpc_status(status_code, message, **kwargs):
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googleapis/google-cloud-python | api_core/google/api_core/exceptions.py | from_grpc_error | def from_grpc_error(rpc_exc):
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rpc_exc (grpc.RpcError): The gRPC error.
Returns:
GoogleAPICallError: An instance of the appropriate subclass of
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"""
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googleapis/google-cloud-python | datastore/google/cloud/datastore/_http.py | _request | def _request(http, project, method, data, base_url):
"""Make a request over the Http transport to the Cloud Datastore API.
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:param http: HTTP object to make requests.
:type project: str
:param project: The project to make the request for.
:type method: str... | python | def _request(http, project, method, data, base_url):
"""Make a request over the Http transport to the Cloud Datastore API.
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googleapis/google-cloud-python | datastore/google/cloud/datastore/_http.py | _rpc | def _rpc(http, project, method, base_url, request_pb, response_pb_cls):
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:param http: HTTP object to make requests.
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googleapis/google-cloud-python | datastore/google/cloud/datastore/_http.py | build_api_url | def build_api_url(project, method, base_url):
"""Construct the URL for a particular API call.
This method is used internally to come up with the URL to use when
making RPCs to the Cloud Datastore API.
:type project: str
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usually... | python | def build_api_url(project, method, base_url):
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googleapis/google-cloud-python | datastore/google/cloud/datastore/_http.py | HTTPDatastoreAPI.lookup | def lookup(self, project_id, keys, read_options=None):
"""Perform a ``lookup`` request.
:type project_id: str
:param project_id: The project to connect to. This is
usually your project name in the cloud console.
:type keys: List[.entity_pb2.Key]
:para... | python | def lookup(self, project_id, keys, read_options=None):
"""Perform a ``lookup`` request.
:type project_id: str
:param project_id: The project to connect to. This is
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googleapis/google-cloud-python | datastore/google/cloud/datastore/_http.py | HTTPDatastoreAPI.run_query | def run_query(
self, project_id, partition_id, read_options=None, query=None, gql_query=None
):
"""Perform a ``runQuery`` request.
:type project_id: str
:param project_id: The project to connect to. This is
usually your project name in the cloud console.
... | python | def run_query(
self, project_id, partition_id, read_options=None, query=None, gql_query=None
):
"""Perform a ``runQuery`` request.
:type project_id: str
:param project_id: The project to connect to. This is
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googleapis/google-cloud-python | datastore/google/cloud/datastore/_http.py | HTTPDatastoreAPI.begin_transaction | def begin_transaction(self, project_id, transaction_options=None):
"""Perform a ``beginTransaction`` request.
:type project_id: str
:param project_id: The project to connect to. This is
usually your project name in the cloud console.
:type transaction_options... | python | def begin_transaction(self, project_id, transaction_options=None):
"""Perform a ``beginTransaction`` request.
:type project_id: str
:param project_id: The project to connect to. This is
usually your project name in the cloud console.
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googleapis/google-cloud-python | datastore/google/cloud/datastore/_http.py | HTTPDatastoreAPI.commit | def commit(self, project_id, mode, mutations, transaction=None):
"""Perform a ``commit`` request.
:type project_id: str
:param project_id: The project to connect to. This is
usually your project name in the cloud console.
:type mode: :class:`.gapic.datastore.... | python | def commit(self, project_id, mode, mutations, transaction=None):
"""Perform a ``commit`` request.
:type project_id: str
:param project_id: The project to connect to. This is
usually your project name in the cloud console.
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googleapis/google-cloud-python | datastore/google/cloud/datastore/_http.py | HTTPDatastoreAPI.rollback | def rollback(self, project_id, transaction):
"""Perform a ``rollback`` request.
:type project_id: str
:param project_id: The project to connect to. This is
usually your project name in the cloud console.
:type transaction: bytes
:param transaction: Th... | python | def rollback(self, project_id, transaction):
"""Perform a ``rollback`` request.
:type project_id: str
:param project_id: The project to connect to. This is
usually your project name in the cloud console.
:type transaction: bytes
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googleapis/google-cloud-python | datastore/google/cloud/datastore/_http.py | HTTPDatastoreAPI.allocate_ids | def allocate_ids(self, project_id, keys):
"""Perform an ``allocateIds`` request.
:type project_id: str
:param project_id: The project to connect to. This is
usually your project name in the cloud console.
:type keys: List[.entity_pb2.Key]
:param keys:... | python | def allocate_ids(self, project_id, keys):
"""Perform an ``allocateIds`` request.
:type project_id: str
:param project_id: The project to connect to. This is
usually your project name in the cloud console.
:type keys: List[.entity_pb2.Key]
:param keys:... | [
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | _create_row_request | def _create_row_request(
table_name,
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filter_=None,
limit=None,
end_inclusive=False,
app_profile_id=None,
row_set=None,
):
"""Creates a request to read rows in a table.
:type table_name: str
:param table_name: The name of the table to read from.
... | python | def _create_row_request(
table_name,
start_key=None,
end_key=None,
filter_=None,
limit=None,
end_inclusive=False,
app_profile_id=None,
row_set=None,
):
"""Creates a request to read rows in a table.
:type table_name: str
:param table_name: The name of the table to read from.
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | _mutate_rows_request | def _mutate_rows_request(table_name, rows, app_profile_id=None):
"""Creates a request to mutate rows in a table.
:type table_name: str
:param table_name: The name of the table to write to.
:type rows: list
:param rows: List or other iterable of :class:`.DirectRow` instances.
:type: app_profil... | python | def _mutate_rows_request(table_name, rows, app_profile_id=None):
"""Creates a request to mutate rows in a table.
:type table_name: str
:param table_name: The name of the table to write to.
:type rows: list
:param rows: List or other iterable of :class:`.DirectRow` instances.
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | _check_row_table_name | def _check_row_table_name(table_name, row):
"""Checks that a row belongs to a table.
:type table_name: str
:param table_name: The name of the table.
:type row: :class:`~google.cloud.bigtable.row.Row`
:param row: An instance of :class:`~google.cloud.bigtable.row.Row`
subclasses.
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"""Checks that a row belongs to a table.
:type table_name: str
:param table_name: The name of the table.
:type row: :class:`~google.cloud.bigtable.row.Row`
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.name | def name(self):
"""Table name used in requests.
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.. literalinclude:: snippets_table.py
:start-after: [START bigtable_table_name]
:end-before: [END bigtable_table_name]
.. note::
This property will not change if ``table_id`` does not, but ... | python | def name(self):
"""Table name used in requests.
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:end-before: [END bigtable_table_name]
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.row | def row(self, row_key, filter_=None, append=False):
"""Factory to create a row associated with this table.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_table_row]
:end-before: [END bigtable_table_row]
.. warning::
... | python | def row(self, row_key, filter_=None, append=False):
"""Factory to create a row associated with this table.
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:start-after: [START bigtable_table_row]
:end-before: [END bigtable_table_row]
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.create | def create(self, initial_split_keys=[], column_families={}):
"""Creates this table.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_create_table]
:end-before: [END bigtable_create_table]
.. note::
A create request r... | python | def create(self, initial_split_keys=[], column_families={}):
"""Creates this table.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_create_table]
:end-before: [END bigtable_create_table]
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.exists | def exists(self):
"""Check whether the table exists.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_check_table_exists]
:end-before: [END bigtable_check_table_exists]
:rtype: bool
:returns: True if the table exists, els... | python | def exists(self):
"""Check whether the table exists.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_check_table_exists]
:end-before: [END bigtable_check_table_exists]
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.delete | def delete(self):
"""Delete this table.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_delete_table]
:end-before: [END bigtable_delete_table]
"""
table_client = self._instance._client.table_admin_client
table_cl... | python | def delete(self):
"""Delete this table.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_delete_table]
:end-before: [END bigtable_delete_table]
"""
table_client = self._instance._client.table_admin_client
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.list_column_families | def list_column_families(self):
"""List the column families owned by this table.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_list_column_families]
:end-before: [END bigtable_list_column_families]
:rtype: dict
:return... | python | def list_column_families(self):
"""List the column families owned by this table.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_list_column_families]
:end-before: [END bigtable_list_column_families]
:rtype: dict
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.get_cluster_states | def get_cluster_states(self):
"""List the cluster states owned by this table.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_get_cluster_states]
:end-before: [END bigtable_get_cluster_states]
:rtype: dict
:returns: Dict... | python | def get_cluster_states(self):
"""List the cluster states owned by this table.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_get_cluster_states]
:end-before: [END bigtable_get_cluster_states]
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.. literalinclude:: snippets_table.py
:start-after: [START bigtable_read_row]
:end-before: [END bigtable_read_row]
:type row_key: bytes
:param row_key: The key... | python | def read_row(self, row_key, filter_=None):
"""Read a single row from this table.
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.. literalinclude:: snippets_table.py
:start-after: [START bigtable_read_row]
:end-before: [END bigtable_read_row]
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.read_rows | def read_rows(
self,
start_key=None,
end_key=None,
limit=None,
filter_=None,
end_inclusive=False,
row_set=None,
retry=DEFAULT_RETRY_READ_ROWS,
):
"""Read rows from this table.
For example:
.. literalinclude:: snippets_table.py... | python | def read_rows(
self,
start_key=None,
end_key=None,
limit=None,
filter_=None,
end_inclusive=False,
row_set=None,
retry=DEFAULT_RETRY_READ_ROWS,
):
"""Read rows from this table.
For example:
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.yield_rows | def yield_rows(self, **kwargs):
"""Read rows from this table.
.. warning::
This method will be removed in future releases. Please use
``read_rows`` instead.
:type start_key: bytes
:param start_key: (Optional) The beginning of a range of row keys to
... | python | def yield_rows(self, **kwargs):
"""Read rows from this table.
.. warning::
This method will be removed in future releases. Please use
``read_rows`` instead.
:type start_key: bytes
:param start_key: (Optional) The beginning of a range of row keys to
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.mutate_rows | def mutate_rows(self, rows, retry=DEFAULT_RETRY):
"""Mutates multiple rows in bulk.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_mutate_rows]
:end-before: [END bigtable_mutate_rows]
The method tries to update all specified ro... | python | def mutate_rows(self, rows, retry=DEFAULT_RETRY):
"""Mutates multiple rows in bulk.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_mutate_rows]
:end-before: [END bigtable_mutate_rows]
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.sample_row_keys | def sample_row_keys(self):
"""Read a sample of row keys in the table.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_sample_row_keys]
:end-before: [END bigtable_sample_row_keys]
The returned row keys will delimit contiguous sec... | python | def sample_row_keys(self):
"""Read a sample of row keys in the table.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_sample_row_keys]
:end-before: [END bigtable_sample_row_keys]
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.truncate | def truncate(self, timeout=None):
"""Truncate the table
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_truncate_table]
:end-before: [END bigtable_truncate_table]
:type timeout: float
:param timeout: (Optional) The amoun... | python | def truncate(self, timeout=None):
"""Truncate the table
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_truncate_table]
:end-before: [END bigtable_truncate_table]
:type timeout: float
:param timeout: (Optional) The amoun... | [
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | Table.mutations_batcher | def mutations_batcher(self, flush_count=FLUSH_COUNT, max_row_bytes=MAX_ROW_BYTES):
"""Factory to create a mutation batcher associated with this instance.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_mutations_batcher]
:end-before: [EN... | python | def mutations_batcher(self, flush_count=FLUSH_COUNT, max_row_bytes=MAX_ROW_BYTES):
"""Factory to create a mutation batcher associated with this instance.
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.. literalinclude:: snippets_table.py
:start-after: [START bigtable_mutations_batcher]
:end-before: [EN... | [
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googleapis/google-cloud-python | bigtable/google/cloud/bigtable/table.py | _RetryableMutateRowsWorker._do_mutate_retryable_rows | def _do_mutate_retryable_rows(self):
"""Mutate all the rows that are eligible for retry.
A row is eligible for retry if it has not been tried or if it resulted
in a transient error in a previous call.
:rtype: list
:return: The responses statuses, which is a list of
... | python | def _do_mutate_retryable_rows(self):
"""Mutate all the rows that are eligible for retry.
A row is eligible for retry if it has not been tried or if it resulted
in a transient error in a previous call.
:rtype: list
:return: The responses statuses, which is a list of
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googleapis/google-cloud-python | pubsub/google/cloud/pubsub_v1/subscriber/_protocol/heartbeater.py | Heartbeater.heartbeat | def heartbeat(self):
"""Periodically send heartbeats."""
while self._manager.is_active and not self._stop_event.is_set():
self._manager.heartbeat()
_LOGGER.debug("Sent heartbeat.")
self._stop_event.wait(timeout=self._period)
_LOGGER.info("%s exiting.", _HEART... | python | def heartbeat(self):
"""Periodically send heartbeats."""
while self._manager.is_active and not self._stop_event.is_set():
self._manager.heartbeat()
_LOGGER.debug("Sent heartbeat.")
self._stop_event.wait(timeout=self._period)
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googleapis/google-cloud-python | error_reporting/google/cloud/errorreporting_v1beta1/gapic/report_errors_service_client.py | ReportErrorsServiceClient.report_error_event | def report_error_event(
self,
project_name,
event,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Report an individual error event.
Example:
>>> from google.clo... | python | def report_error_event(
self,
project_name,
event,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Report an individual error event.
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googleapis/google-cloud-python | bigquery/google/cloud/bigquery/dbapi/_helpers.py | scalar_to_query_parameter | def scalar_to_query_parameter(value, name=None):
"""Convert a scalar value into a query parameter.
:type value: any
:param value: A scalar value to convert into a query parameter.
:type name: str
:param name: (Optional) Name of the query parameter.
:rtype: :class:`~google.cloud.bigquery.Scala... | python | def scalar_to_query_parameter(value, name=None):
"""Convert a scalar value into a query parameter.
:type value: any
:param value: A scalar value to convert into a query parameter.
:type name: str
:param name: (Optional) Name of the query parameter.
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googleapis/google-cloud-python | bigquery/google/cloud/bigquery/dbapi/_helpers.py | to_query_parameters_dict | def to_query_parameters_dict(parameters):
"""Converts a dictionary of parameter values into query parameters.
:type parameters: Mapping[str, Any]
:param parameters: Dictionary of query parameter values.
:rtype: List[google.cloud.bigquery.query._AbstractQueryParameter]
:returns: A list of named que... | python | def to_query_parameters_dict(parameters):
"""Converts a dictionary of parameter values into query parameters.
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googleapis/google-cloud-python | bigquery/google/cloud/bigquery/dbapi/_helpers.py | to_query_parameters | def to_query_parameters(parameters):
"""Converts DB-API parameter values into query parameters.
:type parameters: Mapping[str, Any] or Sequence[Any]
:param parameters: A dictionary or sequence of query parameter values.
:rtype: List[google.cloud.bigquery.query._AbstractQueryParameter]
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googleapis/google-cloud-python | api_core/google/api_core/operation.py | _refresh_http | def _refresh_http(api_request, operation_name):
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Args:
api_request (Callable): A callable used to make an API request. This
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:meth:`google.cloud._http.Connection.api_request`.
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api_request (Callable): A callable used to make an API request. This
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googleapis/google-cloud-python | api_core/google/api_core/operation.py | _cancel_http | def _cancel_http(api_request, operation_name):
"""Cancel an operation using a JSON/HTTP client.
Args:
api_request (Callable): A callable used to make an API request. This
should generally be
:meth:`google.cloud._http.Connection.api_request`.
operation_name (str): The nam... | python | def _cancel_http(api_request, operation_name):
"""Cancel an operation using a JSON/HTTP client.
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api_request (Callable): A callable used to make an API request. This
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googleapis/google-cloud-python | api_core/google/api_core/operation.py | from_http_json | def from_http_json(operation, api_request, result_type, **kwargs):
"""Create an operation future using a HTTP/JSON client.
This interacts with the long-running operations `service`_ (specific
to a given API) via `HTTP/JSON`_.
.. _HTTP/JSON: https://cloud.google.com/speech/reference/rest/\
... | python | def from_http_json(operation, api_request, result_type, **kwargs):
"""Create an operation future using a HTTP/JSON client.
This interacts with the long-running operations `service`_ (specific
to a given API) via `HTTP/JSON`_.
.. _HTTP/JSON: https://cloud.google.com/speech/reference/rest/\
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googleapis/google-cloud-python | api_core/google/api_core/operation.py | _refresh_grpc | def _refresh_grpc(operations_stub, operation_name):
"""Refresh an operation using a gRPC client.
Args:
operations_stub (google.longrunning.operations_pb2.OperationsStub):
The gRPC operations stub.
operation_name (str): The name of the operation.
Returns:
google.longrunn... | python | def _refresh_grpc(operations_stub, operation_name):
"""Refresh an operation using a gRPC client.
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operations_stub (google.longrunning.operations_pb2.OperationsStub):
The gRPC operations stub.
operation_name (str): The name of the operation.
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googleapis/google-cloud-python | api_core/google/api_core/operation.py | _cancel_grpc | def _cancel_grpc(operations_stub, operation_name):
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operations_stub (google.longrunning.operations_pb2.OperationsStub):
The gRPC operations stub.
operation_name (str): The name of the operation.
"""
request_pb = operations_pb2... | python | def _cancel_grpc(operations_stub, operation_name):
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operation_name (str): The name of the operation.
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googleapis/google-cloud-python | api_core/google/api_core/operation.py | from_grpc | def from_grpc(operation, operations_stub, result_type, **kwargs):
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.. _service: https://github.com/googleapis/googleapis/blob/\
050400df0fdb... | python | def from_grpc(operation, operations_stub, result_type, **kwargs):
"""Create an operation future using a gRPC client.
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googleapis/google-cloud-python | api_core/google/api_core/operation.py | from_gapic | def from_gapic(operation, operations_client, result_type, **kwargs):
"""Create an operation future from a gapic client.
This interacts with the long-running operations `service`_ (specific
to a given API) via a gapic client.
.. _service: https://github.com/googleapis/googleapis/blob/\
... | python | def from_gapic(operation, operations_client, result_type, **kwargs):
"""Create an operation future from a gapic client.
This interacts with the long-running operations `service`_ (specific
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.. _service: https://github.com/googleapis/googleapis/blob/\
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googleapis/google-cloud-python | api_core/google/api_core/operation.py | Operation.metadata | def metadata(self):
"""google.protobuf.Message: the current operation metadata."""
if not self._operation.HasField("metadata"):
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return protobuf_helpers.from_any_pb(
self._metadata_type, self._operation.metadata
) | python | def metadata(self):
"""google.protobuf.Message: the current operation metadata."""
if not self._operation.HasField("metadata"):
return None
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self._metadata_type, self._operation.metadata
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googleapis/google-cloud-python | api_core/google/api_core/operation.py | Operation._set_result_from_operation | def _set_result_from_operation(self):
"""Set the result or exception from the operation if it is complete."""
# This must be done in a lock to prevent the polling thread
# and main thread from both executing the completion logic
# at the same time.
with self._completion_lock:
... | python | def _set_result_from_operation(self):
"""Set the result or exception from the operation if it is complete."""
# This must be done in a lock to prevent the polling thread
# and main thread from both executing the completion logic
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googleapis/google-cloud-python | api_core/google/api_core/operation.py | Operation._refresh_and_update | def _refresh_and_update(self):
"""Refresh the operation and update the result if needed."""
# If the currently cached operation is done, no need to make another
# RPC as it will not change once done.
if not self._operation.done:
self._operation = self._refresh()
s... | python | def _refresh_and_update(self):
"""Refresh the operation and update the result if needed."""
# If the currently cached operation is done, no need to make another
# RPC as it will not change once done.
if not self._operation.done:
self._operation = self._refresh()
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googleapis/google-cloud-python | api_core/google/api_core/operation.py | Operation.cancelled | def cancelled(self):
"""True if the operation was cancelled."""
self._refresh_and_update()
return (
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and self._operation.error.code == code_pb2.CANCELLED
) | python | def cancelled(self):
"""True if the operation was cancelled."""
self._refresh_and_update()
return (
self._operation.HasField("error")
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googleapis/google-cloud-python | storage/google/cloud/storage/acl.py | _ACLEntity.revoke | def revoke(self, role):
"""Remove a role from the entity.
:type role: str
:param role: The role to remove from the entity.
"""
if role in self.roles:
self.roles.remove(role) | python | def revoke(self, role):
"""Remove a role from the entity.
:type role: str
:param role: The role to remove from the entity.
"""
if role in self.roles:
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googleapis/google-cloud-python | storage/google/cloud/storage/acl.py | ACL.validate_predefined | def validate_predefined(cls, predefined):
"""Ensures predefined is in list of predefined json values
:type predefined: str
:param predefined: name of a predefined acl
:type predefined: str
:param predefined: validated JSON name of predefined acl
:raises: :exc: `ValueEr... | python | def validate_predefined(cls, predefined):
"""Ensures predefined is in list of predefined json values
:type predefined: str
:param predefined: name of a predefined acl
:type predefined: str
:param predefined: validated JSON name of predefined acl
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googleapis/google-cloud-python | storage/google/cloud/storage/acl.py | ACL.entity_from_dict | def entity_from_dict(self, entity_dict):
"""Build an _ACLEntity object from a dictionary of data.
An entity is a mutable object that represents a list of roles
belonging to either a user or group or the special types for all
users and all authenticated users.
:type entity_dict:... | python | def entity_from_dict(self, entity_dict):
"""Build an _ACLEntity object from a dictionary of data.
An entity is a mutable object that represents a list of roles
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users and all authenticated users.
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googleapis/google-cloud-python | storage/google/cloud/storage/acl.py | ACL.get_entity | def get_entity(self, entity, default=None):
"""Gets an entity object from the ACL.
:type entity: :class:`_ACLEntity` or string
:param entity: The entity to get lookup in the ACL.
:type default: anything
:param default: This value will be returned if the entity
... | python | def get_entity(self, entity, default=None):
"""Gets an entity object from the ACL.
:type entity: :class:`_ACLEntity` or string
:param entity: The entity to get lookup in the ACL.
:type default: anything
:param default: This value will be returned if the entity
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googleapis/google-cloud-python | storage/google/cloud/storage/acl.py | ACL.add_entity | def add_entity(self, entity):
"""Add an entity to the ACL.
:type entity: :class:`_ACLEntity`
:param entity: The entity to add to this ACL.
"""
self._ensure_loaded()
self.entities[str(entity)] = entity | python | def add_entity(self, entity):
"""Add an entity to the ACL.
:type entity: :class:`_ACLEntity`
:param entity: The entity to add to this ACL.
"""
self._ensure_loaded()
self.entities[str(entity)] = entity | [
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googleapis/google-cloud-python | storage/google/cloud/storage/acl.py | ACL.entity | def entity(self, entity_type, identifier=None):
"""Factory method for creating an Entity.
If an entity with the same type and identifier already exists,
this will return a reference to that entity. If not, it will
create a new one and add it to the list of known entities for
th... | python | def entity(self, entity_type, identifier=None):
"""Factory method for creating an Entity.
If an entity with the same type and identifier already exists,
this will return a reference to that entity. If not, it will
create a new one and add it to the list of known entities for
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googleapis/google-cloud-python | storage/google/cloud/storage/acl.py | ACL.reload | def reload(self, client=None):
"""Reload the ACL data from Cloud Storage.
If :attr:`user_project` is set, bills the API request to that project.
:type client: :class:`~google.cloud.storage.client.Client` or
``NoneType``
:param client: Optional. The client to use. ... | python | def reload(self, client=None):
"""Reload the ACL data from Cloud Storage.
If :attr:`user_project` is set, bills the API request to that project.
:type client: :class:`~google.cloud.storage.client.Client` or
``NoneType``
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googleapis/google-cloud-python | storage/google/cloud/storage/acl.py | ACL._save | def _save(self, acl, predefined, client):
"""Helper for :meth:`save` and :meth:`save_predefined`.
:type acl: :class:`google.cloud.storage.acl.ACL`, or a compatible list.
:param acl: The ACL object to save. If left blank, this will save
current entries.
:type predef... | python | def _save(self, acl, predefined, client):
"""Helper for :meth:`save` and :meth:`save_predefined`.
:type acl: :class:`google.cloud.storage.acl.ACL`, or a compatible list.
:param acl: The ACL object to save. If left blank, this will save
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googleapis/google-cloud-python | storage/google/cloud/storage/acl.py | ACL.save | def save(self, acl=None, client=None):
"""Save this ACL for the current bucket.
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:type acl: :class:`google.cloud.storage.acl.ACL`, or a compatible list.
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googleapis/google-cloud-python | storage/google/cloud/storage/acl.py | ACL.save_predefined | def save_predefined(self, predefined, client=None):
"""Save this ACL for the current bucket using a predefined ACL.
If :attr:`user_project` is set, bills the API request to that project.
:type predefined: str
:param predefined: An identifier for a predefined ACL. Must be one
... | python | def save_predefined(self, predefined, client=None):
"""Save this ACL for the current bucket using a predefined ACL.
If :attr:`user_project` is set, bills the API request to that project.
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googleapis/google-cloud-python | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | IncidentServiceClient.incident_path | def incident_path(cls, project, incident):
"""Return a fully-qualified incident string."""
return google.api_core.path_template.expand(
"projects/{project}/incidents/{incident}",
project=project,
incident=incident,
) | python | def incident_path(cls, project, incident):
"""Return a fully-qualified incident string."""
return google.api_core.path_template.expand(
"projects/{project}/incidents/{incident}",
project=project,
incident=incident,
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googleapis/google-cloud-python | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | IncidentServiceClient.annotation_path | def annotation_path(cls, project, incident, annotation):
"""Return a fully-qualified annotation string."""
return google.api_core.path_template.expand(
"projects/{project}/incidents/{incident}/annotations/{annotation}",
project=project,
incident=incident,
... | python | def annotation_path(cls, project, incident, annotation):
"""Return a fully-qualified annotation string."""
return google.api_core.path_template.expand(
"projects/{project}/incidents/{incident}/annotations/{annotation}",
project=project,
incident=incident,
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googleapis/google-cloud-python | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | IncidentServiceClient.artifact_path | def artifact_path(cls, project, incident, artifact):
"""Return a fully-qualified artifact string."""
return google.api_core.path_template.expand(
"projects/{project}/incidents/{incident}/artifacts/{artifact}",
project=project,
incident=incident,
artifact=a... | python | def artifact_path(cls, project, incident, artifact):
"""Return a fully-qualified artifact string."""
return google.api_core.path_template.expand(
"projects/{project}/incidents/{incident}/artifacts/{artifact}",
project=project,
incident=incident,
artifact=a... | [
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googleapis/google-cloud-python | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | IncidentServiceClient.role_assignment_path | def role_assignment_path(cls, project, incident, role_assignment):
"""Return a fully-qualified role_assignment string."""
return google.api_core.path_template.expand(
"projects/{project}/incidents/{incident}/roleAssignments/{role_assignment}",
project=project,
inciden... | python | def role_assignment_path(cls, project, incident, role_assignment):
"""Return a fully-qualified role_assignment string."""
return google.api_core.path_template.expand(
"projects/{project}/incidents/{incident}/roleAssignments/{role_assignment}",
project=project,
inciden... | [
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googleapis/google-cloud-python | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | IncidentServiceClient.subscription_path | def subscription_path(cls, project, incident, subscription):
"""Return a fully-qualified subscription string."""
return google.api_core.path_template.expand(
"projects/{project}/incidents/{incident}/subscriptions/{subscription}",
project=project,
incident=incident,
... | python | def subscription_path(cls, project, incident, subscription):
"""Return a fully-qualified subscription string."""
return google.api_core.path_template.expand(
"projects/{project}/incidents/{incident}/subscriptions/{subscription}",
project=project,
incident=incident,
... | [
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googleapis/google-cloud-python | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | IncidentServiceClient.tag_path | def tag_path(cls, project, incident, tag):
"""Return a fully-qualified tag string."""
return google.api_core.path_template.expand(
"projects/{project}/incidents/{incident}/tags/{tag}",
project=project,
incident=incident,
tag=tag,
) | python | def tag_path(cls, project, incident, tag):
"""Return a fully-qualified tag string."""
return google.api_core.path_template.expand(
"projects/{project}/incidents/{incident}/tags/{tag}",
project=project,
incident=incident,
tag=tag,
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googleapis/google-cloud-python | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | IncidentServiceClient.signal_path | def signal_path(cls, project, signal):
"""Return a fully-qualified signal string."""
return google.api_core.path_template.expand(
"projects/{project}/signals/{signal}", project=project, signal=signal
) | python | def signal_path(cls, project, signal):
"""Return a fully-qualified signal string."""
return google.api_core.path_template.expand(
"projects/{project}/signals/{signal}", project=project, signal=signal
) | [
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googleapis/google-cloud-python | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | IncidentServiceClient.create_annotation | def create_annotation(
self,
parent,
annotation,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates an annotation on an existing incident. Only 'text/plain' and
'text/ma... | python | def create_annotation(
self,
parent,
annotation,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates an annotation on an existing incident. Only 'text/plain' and
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Example:
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>>>
>>> client = irm_v1alpha2.IncidentServiceClient()
>>>
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"created",
"via",
"this",
"method",
"."
] | 85e80125a59cb10f8cb105f25ecc099e4b940b50 | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py#L755-L834 | train | Creates an annotation on an existing incident. | 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... |
googleapis/google-cloud-python | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | IncidentServiceClient.escalate_incident | def escalate_incident(
self,
incident,
update_mask=None,
subscriptions=None,
tags=None,
roles=None,
artifacts=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
... | python | def escalate_incident(
self,
incident,
update_mask=None,
subscriptions=None,
tags=None,
roles=None,
artifacts=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
... | [
"def",
"escalate_incident",
"(",
"self",
",",
"incident",
",",
"update_mask",
"=",
"None",
",",
"subscriptions",
"=",
"None",
",",
"tags",
"=",
"None",
",",
"roles",
"=",
"None",
",",
"artifacts",
"=",
"None",
",",
"retry",
"=",
"google",
".",
"api_core"... | Escalates an incident.
Example:
>>> from google.cloud import irm_v1alpha2
>>>
>>> client = irm_v1alpha2.IncidentServiceClient()
>>>
>>> # TODO: Initialize `incident`:
>>> incident = {}
>>>
>>> response = client.esca... | [
"Escalates",
"an",
"incident",
"."
] | 85e80125a59cb10f8cb105f25ecc099e4b940b50 | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py#L1527-L1632 | train | Escalates an incident. | 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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