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train | _time_to_json | Coerce 'value' to an JSON-compatible representation. | bigquery/google/cloud/bigquery/_helpers.py | def _time_to_json(value):
"""Coerce 'value' to an JSON-compatible representation."""
if isinstance(value, datetime.time):
value = value.isoformat()
return value | def _time_to_json(value):
"""Coerce 'value' to an JSON-compatible representation."""
if isinstance(value, datetime.time):
value = value.isoformat()
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train | _scalar_field_to_json | Maps a field and value to a JSON-safe value.
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field ( \
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):
The SchemaField to use for type conversion and field name.
row_value (any):
Value to be converted, based on the field's type.
Return... | bigquery/google/cloud/bigquery/_helpers.py | def _scalar_field_to_json(field, row_value):
"""Maps a field and value to a JSON-safe value.
Args:
field ( \
:class:`~google.cloud.bigquery.schema.SchemaField`, \
):
The SchemaField to use for type conversion and field name.
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The SchemaField to use for type conversion and field name.
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train | _repeated_field_to_json | Convert a repeated/array field to its JSON representation.
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The SchemaField to use for type conversion and field name. The
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field ( \
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The SchemaField to use for type conversion and field name. The
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The SchemaField to use for type conversion and field name. The
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train | _record_field_to_json | Convert a record/struct field to its JSON representation.
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):
The :class:`~google.cloud.bigquery.schema.SchemaField`s of the
recor... | def _record_field_to_json(fields, row_value):
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train | _field_to_json | Convert a field into JSON-serializable values.
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The SchemaField to use for type conversion and field name.
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train | _snake_to_camel_case | Convert snake case string to camel case. | bigquery/google/cloud/bigquery/_helpers.py | def _snake_to_camel_case(value):
"""Convert snake case string to camel case."""
words = value.split("_")
return words[0] + "".join(map(str.capitalize, words[1:])) | def _snake_to_camel_case(value):
"""Convert snake case string to camel case."""
words = value.split("_")
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train | _get_sub_prop | Get a nested value from a dictionary.
This method works like ``dict.get(key)``, but for nested values.
Arguments:
container (dict):
A dictionary which may contain other dictionaries as values.
keys (iterable):
A sequence of keys to attempt to get the value for. Each ite... | bigquery/google/cloud/bigquery/_helpers.py | def _get_sub_prop(container, keys, default=None):
"""Get a nested value from a dictionary.
This method works like ``dict.get(key)``, but for nested values.
Arguments:
container (dict):
A dictionary which may contain other dictionaries as values.
keys (iterable):
A s... | def _get_sub_prop(container, keys, default=None):
"""Get a nested value from a dictionary.
This method works like ``dict.get(key)``, but for nested values.
Arguments:
container (dict):
A dictionary which may contain other dictionaries as values.
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train | _set_sub_prop | Set a nested value in a dictionary.
Arguments:
container (dict):
A dictionary which may contain other dictionaries as values.
keys (iterable):
A sequence of keys to attempt to set the value for. Each item in
the sequence represents a deeper nesting. The first key... | bigquery/google/cloud/bigquery/_helpers.py | def _set_sub_prop(container, keys, value):
"""Set a nested value in a dictionary.
Arguments:
container (dict):
A dictionary which may contain other dictionaries as values.
keys (iterable):
A sequence of keys to attempt to set the value for. Each item in
the s... | def _set_sub_prop(container, keys, value):
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A dictionary which may contain other dictionaries as values.
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A sequence of keys to attempt to set the value for. Each item in
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train | _del_sub_prop | Remove a nested key fro a dictionary.
Arguments:
container (dict):
A dictionary which may contain other dictionaries as values.
keys (iterable):
A sequence of keys to attempt to clear the value for. Each item in
the sequence represents a deeper nesting. The first... | bigquery/google/cloud/bigquery/_helpers.py | def _del_sub_prop(container, keys):
"""Remove a nested key fro a dictionary.
Arguments:
container (dict):
A dictionary which may contain other dictionaries as values.
keys (iterable):
A sequence of keys to attempt to clear the value for. Each item in
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A dictionary which may contain other dictionaries as values.
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train | _build_resource_from_properties | Build a resource based on a ``_properties`` dictionary, filtered by
``filter_fields``, which follow the name of the Python object. | bigquery/google/cloud/bigquery/_helpers.py | def _build_resource_from_properties(obj, filter_fields):
"""Build a resource based on a ``_properties`` dictionary, filtered by
``filter_fields``, which follow the name of the Python object.
"""
partial = {}
for filter_field in filter_fields:
api_field = obj._PROPERTY_TO_API_FIELD.get(filter... | def _build_resource_from_properties(obj, filter_fields):
"""Build a resource based on a ``_properties`` dictionary, filtered by
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"""
partial = {}
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train | get_model | Sample ID: go/samples-tracker/1510 | bigquery/samples/get_model.py | def get_model(client, model_id):
"""Sample ID: go/samples-tracker/1510"""
# [START bigquery_get_model]
from google.cloud import bigquery
# TODO(developer): Construct a BigQuery client object.
# client = bigquery.Client()
# TODO(developer): Set model_id to the ID of the model to fetch.
# m... | def get_model(client, model_id):
"""Sample ID: go/samples-tracker/1510"""
# [START bigquery_get_model]
from google.cloud import bigquery
# TODO(developer): Construct a BigQuery client object.
# client = bigquery.Client()
# TODO(developer): Set model_id to the ID of the model to fetch.
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train | _check_database_id | Make sure a "Reference" database ID is empty.
:type database_id: unicode
:param database_id: The ``database_id`` field from a "Reference" protobuf.
:raises: :exc:`ValueError` if the ``database_id`` is not empty. | datastore/google/cloud/datastore/key.py | def _check_database_id(database_id):
"""Make sure a "Reference" database ID is empty.
:type database_id: unicode
:param database_id: The ``database_id`` field from a "Reference" protobuf.
:raises: :exc:`ValueError` if the ``database_id`` is not empty.
"""
if database_id != u"":
msg = _... | def _check_database_id(database_id):
"""Make sure a "Reference" database ID is empty.
:type database_id: unicode
:param database_id: The ``database_id`` field from a "Reference" protobuf.
:raises: :exc:`ValueError` if the ``database_id`` is not empty.
"""
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train | _add_id_or_name | Add the ID or name from an element to a list.
:type flat_path: list
:param flat_path: List of accumulated path parts.
:type element_pb: :class:`._app_engine_key_pb2.Path.Element`
:param element_pb: The element containing ID or name.
:type empty_allowed: bool
:param empty_allowed: Indicates if... | datastore/google/cloud/datastore/key.py | def _add_id_or_name(flat_path, element_pb, empty_allowed):
"""Add the ID or name from an element to a list.
:type flat_path: list
:param flat_path: List of accumulated path parts.
:type element_pb: :class:`._app_engine_key_pb2.Path.Element`
:param element_pb: The element containing ID or name.
... | def _add_id_or_name(flat_path, element_pb, empty_allowed):
"""Add the ID or name from an element to a list.
:type flat_path: list
:param flat_path: List of accumulated path parts.
:type element_pb: :class:`._app_engine_key_pb2.Path.Element`
:param element_pb: The element containing ID or name.
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train | _get_flat_path | Convert a legacy "Path" protobuf to a flat path.
For example
Element {
type: "parent"
id: 59
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Element {
type: "child"
name: "naem"
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would convert to ``('parent', 59, 'child', 'naem')``.
:type path_pb: :class:`._app_engine_key_pb2.... | datastore/google/cloud/datastore/key.py | def _get_flat_path(path_pb):
"""Convert a legacy "Path" protobuf to a flat path.
For example
Element {
type: "parent"
id: 59
}
Element {
type: "child"
name: "naem"
}
would convert to ``('parent', 59, 'child', 'naem')``.
:type pa... | def _get_flat_path(path_pb):
"""Convert a legacy "Path" protobuf to a flat path.
For example
Element {
type: "parent"
id: 59
}
Element {
type: "child"
name: "naem"
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train | _to_legacy_path | Convert a tuple of ints and strings in a legacy "Path".
.. note:
This assumes, but does not verify, that each entry in
``dict_path`` is valid (i.e. doesn't have more than one
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This assumes, but does not verify, that each entry in
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train | Key._clone | Duplicates the Key.
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train | Key.completed_key | Creates new key from existing partial key by adding final ID/name.
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train | Key.to_protobuf | Return a protobuf corresponding to the key.
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train | Key.to_legacy_urlsafe | Convert to a base64 encode urlsafe string for App Engine.
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"""Convert to a base64 encode urlsafe string for App Engine.
This is intended to work with the "legacy" representation of a
datastore "Key" used within Google App Engine (a so-called
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train | Key.from_legacy_urlsafe | Convert urlsafe string to :class:`~google.cloud.datastore.key.Key`.
This is intended to work with the "legacy" representation of a
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:rtype: :class:`google.cloud.datastore.key.Key` or :class:`NoneType`
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train | Key.parent | The parent of the current key.
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train | ResourceRecordSet.from_api_repr | Factory: construct a record set given its API representation
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:type zone: :class:`google.cloud.dns.zone.ManagedZone`
:param zone: A zone which holds one or more record sets.
:rtype: :class:`... | dns/google/cloud/dns/resource_record_set.py | def from_api_repr(cls, resource, zone):
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:type resource: dict
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:type zone: :class:`google.cloud.dns.zone.ManagedZone`
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train | _Worker._thread_main | The entry point for the worker thread.
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train | _Worker._main_thread_terminated | Callback that attempts to send pending logs before termination. | logging/google/cloud/logging/handlers/transports/background_thread.py | def _main_thread_terminated(self):
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return
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print(
"Program shutting down, attempting to send %d queued log "
"entries to... | def _main_thread_terminated(self):
"""Callback that attempts to send pending logs before termination."""
if not self.is_alive:
return
if not self._queue.empty():
print(
"Program shutting down, attempting to send %d queued log "
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train | _Worker.enqueue | Queues a log entry to be written by the background thread.
:type record: :class:`logging.LogRecord`
:param record: Python log record that the handler was called with.
:type message: str
:param message: The message from the ``LogRecord`` after being
formatted by ... | logging/google/cloud/logging/handlers/transports/background_thread.py | def enqueue(
self, record, message, resource=None, labels=None, trace=None, span_id=None
):
"""Queues a log entry to be written by the background thread.
:type record: :class:`logging.LogRecord`
:param record: Python log record that the handler was called with.
:type messag... | def enqueue(
self, record, message, resource=None, labels=None, trace=None, span_id=None
):
"""Queues a log entry to be written by the background thread.
:type record: :class:`logging.LogRecord`
:param record: Python log record that the handler was called with.
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train | BackgroundThreadTransport.send | Overrides Transport.send().
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:param record: Python log record that the handler was called with.
:type message: str
:param message: The message from the ``LogRecord`` after being
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"""Overrides Transport.send().
:type record: :class:`logging.LogRecord`
:param record: Python log record that the handler was called with.
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self, record, message, resource=None, labels=None, trace=None, span_id=None
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:param record: Python log record that the handler was called with.
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train | _tokenize_field_path | Lex a field path into tokens (including dots).
Args:
path (str): field path to be lexed.
Returns:
List(str): tokens | firestore/google/cloud/firestore_v1beta1/field_path.py | def _tokenize_field_path(path):
"""Lex a field path into tokens (including dots).
Args:
path (str): field path to be lexed.
Returns:
List(str): tokens
"""
pos = 0
get_token = TOKENS_REGEX.match
match = get_token(path)
while match is not None:
type_ = match.lastgr... | def _tokenize_field_path(path):
"""Lex a field path into tokens (including dots).
Args:
path (str): field path to be lexed.
Returns:
List(str): tokens
"""
pos = 0
get_token = TOKENS_REGEX.match
match = get_token(path)
while match is not None:
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train | split_field_path | Split a field path into valid elements (without dots).
Args:
path (str): field path to be lexed.
Returns:
List(str): tokens
Raises:
ValueError: if the path does not match the elements-interspersed-
with-dots pattern. | firestore/google/cloud/firestore_v1beta1/field_path.py | def split_field_path(path):
"""Split a field path into valid elements (without dots).
Args:
path (str): field path to be lexed.
Returns:
List(str): tokens
Raises:
ValueError: if the path does not match the elements-interspersed-
with-dots pattern.
"""
... | def split_field_path(path):
"""Split a field path into valid elements (without dots).
Args:
path (str): field path to be lexed.
Returns:
List(str): tokens
Raises:
ValueError: if the path does not match the elements-interspersed-
with-dots pattern.
"""
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train | parse_field_path | Parse a **field path** from into a list of nested field names.
See :func:`field_path` for more on **field paths**.
Args:
api_repr (str):
The unique Firestore api representation which consists of
either simple or UTF-8 field names. It cannot exceed
1500 bytes, and ca... | firestore/google/cloud/firestore_v1beta1/field_path.py | def parse_field_path(api_repr):
"""Parse a **field path** from into a list of nested field names.
See :func:`field_path` for more on **field paths**.
Args:
api_repr (str):
The unique Firestore api representation which consists of
either simple or UTF-8 field names. It canno... | def parse_field_path(api_repr):
"""Parse a **field path** from into a list of nested field names.
See :func:`field_path` for more on **field paths**.
Args:
api_repr (str):
The unique Firestore api representation which consists of
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train | render_field_path | Create a **field path** from a list of nested field names.
A **field path** is a ``.``-delimited concatenation of the field
names. It is used to represent a nested field. For example,
in the data
.. code-block: python
data = {
'aa': {
'bb': {
'cc': 10,... | firestore/google/cloud/firestore_v1beta1/field_path.py | def render_field_path(field_names):
"""Create a **field path** from a list of nested field names.
A **field path** is a ``.``-delimited concatenation of the field
names. It is used to represent a nested field. For example,
in the data
.. code-block: python
data = {
'aa': {
... | def render_field_path(field_names):
"""Create a **field path** from a list of nested field names.
A **field path** is a ``.``-delimited concatenation of the field
names. It is used to represent a nested field. For example,
in the data
.. code-block: python
data = {
'aa': {
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train | get_nested_value | Get a (potentially nested) value from a dictionary.
If the data is nested, for example:
.. code-block:: python
>>> data
{
'top1': {
'middle2': {
'bottom3': 20,
'bottom4': 22,
},
'middle5': True,
... | firestore/google/cloud/firestore_v1beta1/field_path.py | def get_nested_value(field_path, data):
"""Get a (potentially nested) value from a dictionary.
If the data is nested, for example:
.. code-block:: python
>>> data
{
'top1': {
'middle2': {
'bottom3': 20,
'bottom4': 22,
... | def get_nested_value(field_path, data):
"""Get a (potentially nested) value from a dictionary.
If the data is nested, for example:
.. code-block:: python
>>> data
{
'top1': {
'middle2': {
'bottom3': 20,
'bottom4': 22,
... | [
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train | FieldPath.from_api_repr | Factory: create a FieldPath from the string formatted per the API.
Args:
api_repr (str): a string path, with non-identifier elements quoted
It cannot exceed 1500 characters, and cannot be empty.
Returns:
(:class:`FieldPath`) An instance parsed from ``api_repr``.
... | firestore/google/cloud/firestore_v1beta1/field_path.py | def from_api_repr(cls, api_repr):
"""Factory: create a FieldPath from the string formatted per the API.
Args:
api_repr (str): a string path, with non-identifier elements quoted
It cannot exceed 1500 characters, and cannot be empty.
Returns:
(:class:`FieldPath... | def from_api_repr(cls, api_repr):
"""Factory: create a FieldPath from the string formatted per the API.
Args:
api_repr (str): a string path, with non-identifier elements quoted
It cannot exceed 1500 characters, and cannot be empty.
Returns:
(:class:`FieldPath... | [
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train | FieldPath.from_string | Factory: create a FieldPath from a unicode string representation.
This method splits on the character `.` and disallows the
characters `~*/[]`. To create a FieldPath whose components have
those characters, call the constructor.
Args:
path_string (str): A unicode string whic... | firestore/google/cloud/firestore_v1beta1/field_path.py | def from_string(cls, path_string):
"""Factory: create a FieldPath from a unicode string representation.
This method splits on the character `.` and disallows the
characters `~*/[]`. To create a FieldPath whose components have
those characters, call the constructor.
Args:
... | def from_string(cls, path_string):
"""Factory: create a FieldPath from a unicode string representation.
This method splits on the character `.` and disallows the
characters `~*/[]`. To create a FieldPath whose components have
those characters, call the constructor.
Args:
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train | FieldPath.eq_or_parent | Check whether ``other`` is an ancestor.
Returns:
(bool) True IFF ``other`` is an ancestor or equal to ``self``,
else False. | firestore/google/cloud/firestore_v1beta1/field_path.py | def eq_or_parent(self, other):
"""Check whether ``other`` is an ancestor.
Returns:
(bool) True IFF ``other`` is an ancestor or equal to ``self``,
else False.
"""
return self.parts[: len(other.parts)] == other.parts[: len(self.parts)] | def eq_or_parent(self, other):
"""Check whether ``other`` is an ancestor.
Returns:
(bool) True IFF ``other`` is an ancestor or equal to ``self``,
else False.
"""
return self.parts[: len(other.parts)] == other.parts[: len(self.parts)] | [
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train | FieldPath.lineage | Return field paths for all parents.
Returns: Set[:class:`FieldPath`] | firestore/google/cloud/firestore_v1beta1/field_path.py | def lineage(self):
"""Return field paths for all parents.
Returns: Set[:class:`FieldPath`]
"""
indexes = six.moves.range(1, len(self.parts))
return {FieldPath(*self.parts[:index]) for index in indexes} | def lineage(self):
"""Return field paths for all parents.
Returns: Set[:class:`FieldPath`]
"""
indexes = six.moves.range(1, len(self.parts))
return {FieldPath(*self.parts[:index]) for index in indexes} | [
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train | OperationsClient.get_operation | Gets the latest state of a long-running operation.
Clients can use this method to poll the operation result at intervals
as recommended by the API service.
Example:
>>> from google.api_core import operations_v1
>>> api = operations_v1.OperationsClient()
>>> ... | api_core/google/api_core/operations_v1/operations_client.py | def get_operation(
self, name, retry=gapic_v1.method.DEFAULT, timeout=gapic_v1.method.DEFAULT
):
"""Gets the latest state of a long-running operation.
Clients can use this method to poll the operation result at intervals
as recommended by the API service.
Example:
... | def get_operation(
self, name, retry=gapic_v1.method.DEFAULT, timeout=gapic_v1.method.DEFAULT
):
"""Gets the latest state of a long-running operation.
Clients can use this method to poll the operation result at intervals
as recommended by the API service.
Example:
... | [
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train | OperationsClient.list_operations | Lists operations that match the specified filter in the request.
Example:
>>> from google.api_core import operations_v1
>>> api = operations_v1.OperationsClient()
>>> name = ''
>>>
>>> # Iterate over all results
>>> for operation in api.li... | api_core/google/api_core/operations_v1/operations_client.py | def list_operations(
self,
name,
filter_,
retry=gapic_v1.method.DEFAULT,
timeout=gapic_v1.method.DEFAULT,
):
"""
Lists operations that match the specified filter in the request.
Example:
>>> from google.api_core import operations_v1
... | def list_operations(
self,
name,
filter_,
retry=gapic_v1.method.DEFAULT,
timeout=gapic_v1.method.DEFAULT,
):
"""
Lists operations that match the specified filter in the request.
Example:
>>> from google.api_core import operations_v1
... | [
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train | OperationsClient.cancel_operation | Starts asynchronous cancellation on a long-running operation.
The server makes a best effort to cancel the operation, but success is
not guaranteed. Clients can use :meth:`get_operation` or service-
specific methods to check whether the cancellation succeeded or whether
the operation co... | api_core/google/api_core/operations_v1/operations_client.py | def cancel_operation(
self, name, retry=gapic_v1.method.DEFAULT, timeout=gapic_v1.method.DEFAULT
):
"""Starts asynchronous cancellation on a long-running operation.
The server makes a best effort to cancel the operation, but success is
not guaranteed. Clients can use :meth:`get_oper... | def cancel_operation(
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):
"""Starts asynchronous cancellation on a long-running operation.
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train | OperationsClient.delete_operation | Deletes a long-running operation.
This method indicates that the client is no longer interested in the
operation result. It does not cancel the operation.
Example:
>>> from google.api_core import operations_v1
>>> api = operations_v1.OperationsClient()
>>> n... | api_core/google/api_core/operations_v1/operations_client.py | def delete_operation(
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"""Deletes a long-running operation.
This method indicates that the client is no longer interested in the
operation result. It does not cancel the operation.
Example:
... | def delete_operation(
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"""Deletes a long-running operation.
This method indicates that the client is no longer interested in the
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train | config_name_from_full_name | Extract the config name from a full resource name.
>>> config_name_from_full_name('projects/my-proj/configs/my-config')
"my-config"
:type full_name: str
:param full_name:
The full resource name of a config. The full resource name looks like
``projects/project-name/configs/config-na... | runtimeconfig/google/cloud/runtimeconfig/_helpers.py | def config_name_from_full_name(full_name):
"""Extract the config name from a full resource name.
>>> config_name_from_full_name('projects/my-proj/configs/my-config')
"my-config"
:type full_name: str
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The full resource name of a config. The full resource name looks like... | def config_name_from_full_name(full_name):
"""Extract the config name from a full resource name.
>>> config_name_from_full_name('projects/my-proj/configs/my-config')
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train | variable_name_from_full_name | Extract the variable name from a full resource name.
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train | Histogram.max | Return the maximum value in this histogram.
If there are no values in the histogram at all, return 600.
Returns:
int: The maximum value in the histogram. | pubsub/google/cloud/pubsub_v1/subscriber/_protocol/histogram.py | def max(self):
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train | Histogram.min | Return the minimum value in this histogram.
If there are no values in the histogram at all, return 10.
Returns:
int: The minimum value in the histogram. | pubsub/google/cloud/pubsub_v1/subscriber/_protocol/histogram.py | def min(self):
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Returns:
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train | Histogram.add | Add the value to this histogram.
Args:
value (int): The value. Values outside of ``10 <= x <= 600``
will be raised to ``10`` or reduced to ``600``. | pubsub/google/cloud/pubsub_v1/subscriber/_protocol/histogram.py | def add(self, value):
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Args:
value (int): The value. Values outside of ``10 <= x <= 600``
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"""
# If the value is out of bounds, bring it in bounds.
value = int(value)
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value (int): The value. Values outside of ``10 <= x <= 600``
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"""
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train | Histogram.percentile | Return the value that is the Nth precentile in the histogram.
Args:
percent (Union[int, float]): The precentile being sought. The
default consumer implementations use consistently use ``99``.
Returns:
int: The value corresponding to the requested percentile. | pubsub/google/cloud/pubsub_v1/subscriber/_protocol/histogram.py | def percentile(self, percent):
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Args:
percent (Union[int, float]): The precentile being sought. The
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Returns:
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train | CloudSchedulerClient.job_path | Return a fully-qualified job string. | scheduler/google/cloud/scheduler_v1beta1/gapic/cloud_scheduler_client.py | def job_path(cls, project, location, job):
"""Return a fully-qualified job string."""
return google.api_core.path_template.expand(
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train | CloudSchedulerClient.create_job | Creates a job.
Example:
>>> from google.cloud import scheduler_v1beta1
>>>
>>> client = scheduler_v1beta1.CloudSchedulerClient()
>>>
>>> parent = client.location_path('[PROJECT]', '[LOCATION]')
>>>
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Example:
>>> from google.cloud import scheduler_v1beta1
... | def create_job(
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Creates a job.
Example:
>>> from google.cloud import scheduler_v1beta1
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train | Model.reference | A :class:`~google.cloud.bigquery.model.ModelReference` pointing to
this model.
Read-only.
Returns:
google.cloud.bigquery.model.ModelReference: pointer to this model. | bigquery/google/cloud/bigquery/model.py | def reference(self):
"""A :class:`~google.cloud.bigquery.model.ModelReference` pointing to
this model.
Read-only.
Returns:
google.cloud.bigquery.model.ModelReference: pointer to this model.
"""
ref = ModelReference()
ref._proto = self._proto.model_re... | def reference(self):
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Returns:
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"""
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"""Union[datetime.datetime, None]: Datetime at which the model was
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"""
value = self._proto.creation_time
if value is not None and value != 0:
# value will be in milliseconds.
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value = self._proto.last_modified_time
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train | Model.expires | Union[datetime.datetime, None]: The datetime when this model
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"""
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train | Model.from_api_repr | Factory: construct a model resource given its API representation
Args:
resource (Dict[str, object]):
Model resource representation from the API
Returns:
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"""Factory: construct a model resource given its API representation
Args:
resource (Dict[str, object]):
Model resource representation from the API
Returns:
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Model resource representation from the API
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train | ModelReference.path | str: URL path for the model's APIs. | bigquery/google/cloud/bigquery/model.py | def path(self):
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Model reference representation returned from the API
Returns:
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Model reference representation returned from the API
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Model reference representation returned from the API
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train | ModelReference.from_string | Construct a model reference from model ID string.
Args:
model_id (str):
A model ID in standard SQL format. If ``default_project``
is not specified, this must included a project ID, dataset
ID, and model ID, each separated by ``.``.
default... | bigquery/google/cloud/bigquery/model.py | def from_string(cls, model_id, default_project=None):
"""Construct a model reference from model ID string.
Args:
model_id (str):
A model ID in standard SQL format. If ``default_project``
is not specified, this must included a project ID, dataset
... | def from_string(cls, model_id, default_project=None):
"""Construct a model reference from model ID string.
Args:
model_id (str):
A model ID in standard SQL format. If ``default_project``
is not specified, this must included a project ID, dataset
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train | CloudTasksClient.lease_tasks | Leases tasks from a pull queue for ``lease_duration``.
This method is invoked by the worker to obtain a lease. The worker must
acknowledge the task via ``AcknowledgeTask`` after they have performed
the work associated with the task.
The ``payload`` is intended to store data that the wo... | tasks/google/cloud/tasks_v2beta2/gapic/cloud_tasks_client.py | def lease_tasks(
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Leases tasks ... | def lease_tasks(
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response_view=None,
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timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
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Leases tasks ... | [
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train | format_stackdriver_json | Helper to format a LogRecord in in Stackdriver fluentd format.
:rtype: str
:returns: JSON str to be written to the log file. | logging/google/cloud/logging/handlers/_helpers.py | def format_stackdriver_json(record, message):
"""Helper to format a LogRecord in in Stackdriver fluentd format.
:rtype: str
:returns: JSON str to be written to the log file.
"""
subsecond, second = math.modf(record.created)
payload = {
"message": message,
"timestamp": {... | def format_stackdriver_json(record, message):
"""Helper to format a LogRecord in in Stackdriver fluentd format.
:rtype: str
:returns: JSON str to be written to the log file.
"""
subsecond, second = math.modf(record.created)
payload = {
"message": message,
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train | get_trace_id_from_flask | Get trace_id from flask request headers.
:rtype: str
:returns: TraceID in HTTP request headers. | logging/google/cloud/logging/handlers/_helpers.py | def get_trace_id_from_flask():
"""Get trace_id from flask request headers.
:rtype: str
:returns: TraceID in HTTP request headers.
"""
if flask is None or not flask.request:
return None
header = flask.request.headers.get(_FLASK_TRACE_HEADER)
if header is None:
return None
... | def get_trace_id_from_flask():
"""Get trace_id from flask request headers.
:rtype: str
:returns: TraceID in HTTP request headers.
"""
if flask is None or not flask.request:
return None
header = flask.request.headers.get(_FLASK_TRACE_HEADER)
if header is None:
return None
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train | get_trace_id_from_webapp2 | Get trace_id from webapp2 request headers.
:rtype: str
:returns: TraceID in HTTP request headers. | logging/google/cloud/logging/handlers/_helpers.py | def get_trace_id_from_webapp2():
"""Get trace_id from webapp2 request headers.
:rtype: str
:returns: TraceID in HTTP request headers.
"""
if webapp2 is None:
return None
try:
# get_request() succeeds if we're in the middle of a webapp2
# request, or raises an assertion ... | def get_trace_id_from_webapp2():
"""Get trace_id from webapp2 request headers.
:rtype: str
:returns: TraceID in HTTP request headers.
"""
if webapp2 is None:
return None
try:
# get_request() succeeds if we're in the middle of a webapp2
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train | get_trace_id_from_django | Get trace_id from django request headers.
:rtype: str
:returns: TraceID in HTTP request headers. | logging/google/cloud/logging/handlers/_helpers.py | def get_trace_id_from_django():
"""Get trace_id from django request headers.
:rtype: str
:returns: TraceID in HTTP request headers.
"""
request = _get_django_request()
if request is None:
return None
header = request.META.get(_DJANGO_TRACE_HEADER)
if header is None:
re... | def get_trace_id_from_django():
"""Get trace_id from django request headers.
:rtype: str
:returns: TraceID in HTTP request headers.
"""
request = _get_django_request()
if request is None:
return None
header = request.META.get(_DJANGO_TRACE_HEADER)
if header is None:
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train | get_trace_id | Helper to get trace_id from web application request header.
:rtype: str
:returns: TraceID in HTTP request headers. | logging/google/cloud/logging/handlers/_helpers.py | def get_trace_id():
"""Helper to get trace_id from web application request header.
:rtype: str
:returns: TraceID in HTTP request headers.
"""
checkers = (
get_trace_id_from_django,
get_trace_id_from_flask,
get_trace_id_from_webapp2,
)
for checker in checkers:
... | def get_trace_id():
"""Helper to get trace_id from web application request header.
:rtype: str
:returns: TraceID in HTTP request headers.
"""
checkers = (
get_trace_id_from_django,
get_trace_id_from_flask,
get_trace_id_from_webapp2,
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for checker in checkers:
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train | GroupServiceClient.group_path | Return a fully-qualified group string. | monitoring/google/cloud/monitoring_v3/gapic/group_service_client.py | def group_path(cls, project, group):
"""Return a fully-qualified group string."""
return google.api_core.path_template.expand(
"projects/{project}/groups/{group}", project=project, group=group
) | def group_path(cls, project, group):
"""Return a fully-qualified group string."""
return google.api_core.path_template.expand(
"projects/{project}/groups/{group}", project=project, group=group
) | [
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train | GroupServiceClient.list_groups | Lists the existing groups.
Example:
>>> from google.cloud import monitoring_v3
>>>
>>> client = monitoring_v3.GroupServiceClient()
>>>
>>> name = client.project_path('[PROJECT]')
>>>
>>> # Iterate over all results
>... | monitoring/google/cloud/monitoring_v3/gapic/group_service_client.py | def list_groups(
self,
name,
children_of_group=None,
ancestors_of_group=None,
descendants_of_group=None,
page_size=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"... | def list_groups(
self,
name,
children_of_group=None,
ancestors_of_group=None,
descendants_of_group=None,
page_size=None,
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 | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/monitoring/google/cloud/monitoring_v3/gapic/group_service_client.py#L206-L338 | [
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train | TextToSpeechClient.list_voices | Returns a list of ``Voice`` supported for synthesis.
Example:
>>> from google.cloud import texttospeech_v1beta1
>>>
>>> client = texttospeech_v1beta1.TextToSpeechClient()
>>>
>>> response = client.list_voices()
Args:
language_code... | texttospeech/google/cloud/texttospeech_v1beta1/gapic/text_to_speech_client.py | def list_voices(
self,
language_code=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Returns a list of ``Voice`` supported for synthesis.
Example:
>>> from google.... | def list_voices(
self,
language_code=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Returns a list of ``Voice`` supported for synthesis.
Example:
>>> from google.... | [
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train | TextToSpeechClient.synthesize_speech | Synthesizes speech synchronously: receive results after all text input
has been processed.
Example:
>>> from google.cloud import texttospeech_v1beta1
>>>
>>> client = texttospeech_v1beta1.TextToSpeechClient()
>>>
>>> # TODO: Initialize `input_... | texttospeech/google/cloud/texttospeech_v1beta1/gapic/text_to_speech_client.py | def synthesize_speech(
self,
input_,
voice,
audio_config,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Synthesizes speech synchronously: receive results after all text inp... | def synthesize_speech(
self,
input_,
voice,
audio_config,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
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train | ensure_signed_credentials | Raise AttributeError if the credentials are unsigned.
:type credentials: :class:`google.auth.credentials.Signing`
:param credentials: The credentials used to create a private key
for signing text.
:raises: :exc:`AttributeError` if credentials is not an instance
of :clas... | storage/google/cloud/storage/_signing.py | def ensure_signed_credentials(credentials):
"""Raise AttributeError if the credentials are unsigned.
:type credentials: :class:`google.auth.credentials.Signing`
:param credentials: The credentials used to create a private key
for signing text.
:raises: :exc:`AttributeError` if ... | def ensure_signed_credentials(credentials):
"""Raise AttributeError if the credentials are unsigned.
:type credentials: :class:`google.auth.credentials.Signing`
:param credentials: The credentials used to create a private key
for signing text.
:raises: :exc:`AttributeError` if ... | [
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train | get_signed_query_params_v2 | Gets query parameters for creating a signed URL.
:type credentials: :class:`google.auth.credentials.Signing`
:param credentials: The credentials used to create a private key
for signing text.
:type expiration: int or long
:param expiration: When the signed URL should expire.
... | storage/google/cloud/storage/_signing.py | def get_signed_query_params_v2(credentials, expiration, string_to_sign):
"""Gets query parameters for creating a signed URL.
:type credentials: :class:`google.auth.credentials.Signing`
:param credentials: The credentials used to create a private key
for signing text.
:type expi... | def get_signed_query_params_v2(credentials, expiration, string_to_sign):
"""Gets query parameters for creating a signed URL.
:type credentials: :class:`google.auth.credentials.Signing`
:param credentials: The credentials used to create a private key
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train | get_expiration_seconds_v2 | Convert 'expiration' to a number of seconds in the future.
:type expiration: Union[Integer, datetime.datetime, datetime.timedelta]
:param expiration: Point in time when the signed URL should expire.
:raises: :exc:`TypeError` when expiration is not a valid type.
:rtype: int
:returns: a timestamp a... | storage/google/cloud/storage/_signing.py | def get_expiration_seconds_v2(expiration):
"""Convert 'expiration' to a number of seconds in the future.
:type expiration: Union[Integer, datetime.datetime, datetime.timedelta]
:param expiration: Point in time when the signed URL should expire.
:raises: :exc:`TypeError` when expiration is not a valid ... | def get_expiration_seconds_v2(expiration):
"""Convert 'expiration' to a number of seconds in the future.
:type expiration: Union[Integer, datetime.datetime, datetime.timedelta]
:param expiration: Point in time when the signed URL should expire.
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train | get_expiration_seconds_v4 | Convert 'expiration' to a number of seconds offset from the current time.
:type expiration: Union[Integer, datetime.datetime, datetime.timedelta]
:param expiration: Point in time when the signed URL should expire.
:raises: :exc:`TypeError` when expiration is not a valid type.
:raises: :exc:`ValueError... | storage/google/cloud/storage/_signing.py | def get_expiration_seconds_v4(expiration):
"""Convert 'expiration' to a number of seconds offset from the current time.
:type expiration: Union[Integer, datetime.datetime, datetime.timedelta]
:param expiration: Point in time when the signed URL should expire.
:raises: :exc:`TypeError` when expiration ... | def get_expiration_seconds_v4(expiration):
"""Convert 'expiration' to a number of seconds offset from the current time.
:type expiration: Union[Integer, datetime.datetime, datetime.timedelta]
:param expiration: Point in time when the signed URL should expire.
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train | get_canonical_headers | Canonicalize headers for signing.
See:
https://cloud.google.com/storage/docs/access-control/signed-urls#about-canonical-extension-headers
:type headers: Union[dict|List(Tuple(str,str))]
:param headers:
(Optional) Additional HTTP headers to be included as part of the
signed URLs. See:
... | storage/google/cloud/storage/_signing.py | def get_canonical_headers(headers):
"""Canonicalize headers for signing.
See:
https://cloud.google.com/storage/docs/access-control/signed-urls#about-canonical-extension-headers
:type headers: Union[dict|List(Tuple(str,str))]
:param headers:
(Optional) Additional HTTP headers to be included... | def get_canonical_headers(headers):
"""Canonicalize headers for signing.
See:
https://cloud.google.com/storage/docs/access-control/signed-urls#about-canonical-extension-headers
:type headers: Union[dict|List(Tuple(str,str))]
:param headers:
(Optional) Additional HTTP headers to be included... | [
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train | canonicalize | Canonicalize method, resource
:type method: str
:param method: The HTTP verb that will be used when requesting the URL.
Defaults to ``'GET'``. If method is ``'RESUMABLE'`` then the
signature will additionally contain the `x-goog-resumable`
header, and th... | storage/google/cloud/storage/_signing.py | def canonicalize(method, resource, query_parameters, headers):
"""Canonicalize method, resource
:type method: str
:param method: The HTTP verb that will be used when requesting the URL.
Defaults to ``'GET'``. If method is ``'RESUMABLE'`` then the
signature will additio... | def canonicalize(method, resource, query_parameters, headers):
"""Canonicalize method, resource
:type method: str
:param method: The HTTP verb that will be used when requesting the URL.
Defaults to ``'GET'``. If method is ``'RESUMABLE'`` then the
signature will additio... | [
"Canonicalize",
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] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/storage/google/cloud/storage/_signing.py#L205-L252 | [
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... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
train | generate_signed_url_v2 | Generate a V2 signed URL to provide query-string auth'n to a resource.
.. note::
Assumes ``credentials`` implements the
:class:`google.auth.credentials.Signing` interface. Also assumes
``credentials`` has a ``service_account_email`` property which
identifies the credentials.
.... | storage/google/cloud/storage/_signing.py | def generate_signed_url_v2(
credentials,
resource,
expiration,
api_access_endpoint="",
method="GET",
content_md5=None,
content_type=None,
response_type=None,
response_disposition=None,
generation=None,
headers=None,
query_parameters=None,
):
"""Generate a V2 signed UR... | def generate_signed_url_v2(
credentials,
resource,
expiration,
api_access_endpoint="",
method="GET",
content_md5=None,
content_type=None,
response_type=None,
response_disposition=None,
generation=None,
headers=None,
query_parameters=None,
):
"""Generate a V2 signed UR... | [
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train | generate_signed_url_v4 | Generate a V4 signed URL to provide query-string auth'n to a resource.
.. note::
Assumes ``credentials`` implements the
:class:`google.auth.credentials.Signing` interface. Also assumes
``credentials`` has a ``service_account_email`` property which
identifies the credentials.
.... | storage/google/cloud/storage/_signing.py | def generate_signed_url_v4(
credentials,
resource,
expiration,
api_access_endpoint=DEFAULT_ENDPOINT,
method="GET",
content_md5=None,
content_type=None,
response_type=None,
response_disposition=None,
generation=None,
headers=None,
query_parameters=None,
_request_timest... | def generate_signed_url_v4(
credentials,
resource,
expiration,
api_access_endpoint=DEFAULT_ENDPOINT,
method="GET",
content_md5=None,
content_type=None,
response_type=None,
response_disposition=None,
generation=None,
headers=None,
query_parameters=None,
_request_timest... | [
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train | TranslationServiceClient.glossary_path | Return a fully-qualified glossary string. | translate/google/cloud/translate_v3beta1/gapic/translation_service_client.py | def glossary_path(cls, project, location, glossary):
"""Return a fully-qualified glossary string."""
return google.api_core.path_template.expand(
"projects/{project}/locations/{location}/glossaries/{glossary}",
project=project,
location=location,
glossary=... | def glossary_path(cls, project, location, glossary):
"""Return a fully-qualified glossary string."""
return google.api_core.path_template.expand(
"projects/{project}/locations/{location}/glossaries/{glossary}",
project=project,
location=location,
glossary=... | [
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"... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
train | TranslationServiceClient.translate_text | Translates input text and returns translated text.
Example:
>>> from google.cloud import translate_v3beta1
>>>
>>> client = translate_v3beta1.TranslationServiceClient()
>>>
>>> # TODO: Initialize `contents`:
>>> contents = []
>... | translate/google/cloud/translate_v3beta1/gapic/translation_service_client.py | def translate_text(
self,
contents,
target_language_code,
mime_type=None,
source_language_code=None,
parent=None,
model=None,
glossary_config=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAU... | def translate_text(
self,
contents,
target_language_code,
mime_type=None,
source_language_code=None,
parent=None,
model=None,
glossary_config=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAU... | [
"Translates",
"input",
"text",
"and",
"returns",
"translated",
"text",
"."
] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/translate/google/cloud/translate_v3beta1/gapic/translation_service_client.py#L196-L317 | [
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"glossary_config",
"=",
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",",
"ret... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
train | TranslationServiceClient.detect_language | Detects the language of text within a request.
Example:
>>> from google.cloud import translate_v3beta1
>>>
>>> client = translate_v3beta1.TranslationServiceClient()
>>>
>>> response = client.detect_language()
Args:
parent (str): O... | translate/google/cloud/translate_v3beta1/gapic/translation_service_client.py | def detect_language(
self,
parent=None,
model=None,
content=None,
mime_type=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Detects the language of text within ... | def detect_language(
self,
parent=None,
model=None,
content=None,
mime_type=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Detects the language of text within ... | [
"Detects",
"the",
"language",
"of",
"text",
"within",
"a",
"request",
"."
] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/translate/google/cloud/translate_v3beta1/gapic/translation_service_client.py#L319-L404 | [
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",",... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
train | TranslationServiceClient.get_supported_languages | Returns a list of supported languages for translation.
Example:
>>> from google.cloud import translate_v3beta1
>>>
>>> client = translate_v3beta1.TranslationServiceClient()
>>>
>>> response = client.get_supported_languages()
Args:
... | translate/google/cloud/translate_v3beta1/gapic/translation_service_client.py | def get_supported_languages(
self,
parent=None,
display_language_code=None,
model=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Returns a list of supported languages ... | def get_supported_languages(
self,
parent=None,
display_language_code=None,
model=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Returns a list of supported languages ... | [
"Returns",
"a",
"list",
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"languages",
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] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/translate/google/cloud/translate_v3beta1/gapic/translation_service_client.py#L406-L492 | [
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"... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
train | TranslationServiceClient.batch_translate_text | Translates a large volume of text in asynchronous batch mode.
This function provides real-time output as the inputs are being processed.
If caller cancels a request, the partial results (for an input file, it's
all or nothing) may still be available on the specified output location.
Thi... | translate/google/cloud/translate_v3beta1/gapic/translation_service_client.py | def batch_translate_text(
self,
source_language_code,
target_language_codes,
input_configs,
output_config,
parent=None,
models=None,
glossaries=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEF... | def batch_translate_text(
self,
source_language_code,
target_language_codes,
input_configs,
output_config,
parent=None,
models=None,
glossaries=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEF... | [
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"caller",
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"google"... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
train | TranslationServiceClient.create_glossary | Creates a glossary and returns the long-running operation. Returns
NOT\_FOUND, if the project doesn't exist.
Example:
>>> from google.cloud import translate_v3beta1
>>>
>>> client = translate_v3beta1.TranslationServiceClient()
>>>
>>> parent =... | translate/google/cloud/translate_v3beta1/gapic/translation_service_client.py | def create_glossary(
self,
parent,
glossary,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates a glossary and returns the long-running operation. Returns
NOT\_FOUND, if... | def create_glossary(
self,
parent,
glossary,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates a glossary and returns the long-running operation. Returns
NOT\_FOUND, if... | [
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train | TranslationServiceClient.delete_glossary | Deletes a glossary, or cancels glossary construction if the glossary
isn't created yet. Returns NOT\_FOUND, if the glossary doesn't exist.
Example:
>>> from google.cloud import translate_v3beta1
>>>
>>> client = translate_v3beta1.TranslationServiceClient()
... | translate/google/cloud/translate_v3beta1/gapic/translation_service_client.py | def delete_glossary(
self,
name,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Deletes a glossary, or cancels glossary construction if the glossary
isn't created yet. Returns NOT\_... | def delete_glossary(
self,
name,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Deletes a glossary, or cancels glossary construction if the glossary
isn't created yet. Returns NOT\_... | [
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train | _extract_header | Return a copy of time_series with the points removed. | monitoring/google/cloud/monitoring_v3/_dataframe.py | def _extract_header(time_series):
"""Return a copy of time_series with the points removed."""
return TimeSeries(
metric=time_series.metric,
resource=time_series.resource,
metric_kind=time_series.metric_kind,
value_type=time_series.value_type,
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"""Return a copy of time_series with the points removed."""
return TimeSeries(
metric=time_series.metric,
resource=time_series.resource,
metric_kind=time_series.metric_kind,
value_type=time_series.value_type,
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train | _extract_labels | Build the combined resource and metric labels, with resource_type. | monitoring/google/cloud/monitoring_v3/_dataframe.py | def _extract_labels(time_series):
"""Build the combined resource and metric labels, with resource_type."""
labels = {"resource_type": time_series.resource.type}
labels.update(time_series.resource.labels)
labels.update(time_series.metric.labels)
return labels | def _extract_labels(time_series):
"""Build the combined resource and metric labels, with resource_type."""
labels = {"resource_type": time_series.resource.type}
labels.update(time_series.resource.labels)
labels.update(time_series.metric.labels)
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train | _build_dataframe | Build a :mod:`pandas` dataframe out of time series.
:type time_series_iterable:
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:param time_series_iterable:
An iterable (e.g., a query object) yielding time series.
:type label: str
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:type time_series_iterable:
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train | _sorted_resource_labels | Sort label names, putting well-known resource labels first. | monitoring/google/cloud/monitoring_v3/_dataframe.py | def _sorted_resource_labels(labels):
"""Sort label names, putting well-known resource labels first."""
head = [label for label in TOP_RESOURCE_LABELS if label in labels]
tail = sorted(label for label in labels if label not in TOP_RESOURCE_LABELS)
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"""Sort label names, putting well-known resource labels first."""
head = [label for label in TOP_RESOURCE_LABELS if label in labels]
tail = sorted(label for label in labels if label not in TOP_RESOURCE_LABELS)
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train | start_daemon_thread | Starts a thread and marks it as a daemon thread. | api_core/google/api_core/future/_helpers.py | def start_daemon_thread(*args, **kwargs):
"""Starts a thread and marks it as a daemon thread."""
thread = threading.Thread(*args, **kwargs)
thread.daemon = True
thread.start()
return thread | def start_daemon_thread(*args, **kwargs):
"""Starts a thread and marks it as a daemon thread."""
thread = threading.Thread(*args, **kwargs)
thread.daemon = True
thread.start()
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train | safe_invoke_callback | Invoke a callback, swallowing and logging any exceptions. | api_core/google/api_core/future/_helpers.py | def safe_invoke_callback(callback, *args, **kwargs):
"""Invoke a callback, swallowing and logging any exceptions."""
# pylint: disable=bare-except
# We intentionally want to swallow all exceptions.
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train | Client.new_project | Create a project bound to the current client.
Use :meth:`Project.reload() \
<google.cloud.resource_manager.project.Project.reload>` to retrieve
project metadata after creating a
:class:`~google.cloud.resource_manager.project.Project` instance.
.. note:
This does no... | resource_manager/google/cloud/resource_manager/client.py | def new_project(self, project_id, name=None, labels=None):
"""Create a project bound to the current client.
Use :meth:`Project.reload() \
<google.cloud.resource_manager.project.Project.reload>` to retrieve
project metadata after creating a
:class:`~google.cloud.resource_manager.... | def new_project(self, project_id, name=None, labels=None):
"""Create a project bound to the current client.
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train | Client.fetch_project | Fetch an existing project and it's relevant metadata by ID.
.. note::
If the project does not exist, this will raise a
:class:`NotFound <google.cloud.exceptions.NotFound>` error.
:type project_id: str
:param project_id: The ID for this project.
:rtype: :class:... | resource_manager/google/cloud/resource_manager/client.py | def fetch_project(self, project_id):
"""Fetch an existing project and it's relevant metadata by ID.
.. note::
If the project does not exist, this will raise a
:class:`NotFound <google.cloud.exceptions.NotFound>` error.
:type project_id: str
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.. note::
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train | Client.list_projects | List the projects visible to this client.
Example::
>>> from google.cloud import resource_manager
>>> client = resource_manager.Client()
>>> for project in client.list_projects():
... print(project.project_id)
List all projects with label ``'environ... | resource_manager/google/cloud/resource_manager/client.py | def list_projects(self, filter_params=None, page_size=None):
"""List the projects visible to this client.
Example::
>>> from google.cloud import resource_manager
>>> client = resource_manager.Client()
>>> for project in client.list_projects():
... pr... | def list_projects(self, filter_params=None, page_size=None):
"""List the projects visible to this client.
Example::
>>> from google.cloud import resource_manager
>>> client = resource_manager.Client()
>>> for project in client.list_projects():
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train | SpannerClient.session_path | Return a fully-qualified session string. | spanner/google/cloud/spanner_v1/gapic/spanner_client.py | def session_path(cls, project, instance, database, session):
"""Return a fully-qualified session string."""
return google.api_core.path_template.expand(
"projects/{project}/instances/{instance}/databases/{database}/sessions/{session}",
project=project,
instance=instan... | def session_path(cls, project, instance, database, session):
"""Return a fully-qualified session string."""
return google.api_core.path_template.expand(
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train | SpannerClient.create_session | Creates a new session. A session can be used to perform transactions
that read and/or modify data in a Cloud Spanner database. Sessions are
meant to be reused for many consecutive transactions.
Sessions can only execute one transaction at a time. To execute multiple
concurrent read-writ... | spanner/google/cloud/spanner_v1/gapic/spanner_client.py | def create_session(
self,
database,
session=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates a new session. A session can be used to perform transactions
that re... | def create_session(
self,
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retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
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train | SpannerClient.execute_streaming_sql | Like ``ExecuteSql``, except returns the result set as a stream. Unlike
``ExecuteSql``, there is no limit on the size of the returned result
set. However, no individual row in the result set can exceed 100 MiB,
and no column value can exceed 10 MiB.
Example:
>>> from google.c... | spanner/google/cloud/spanner_v1/gapic/spanner_client.py | def execute_streaming_sql(
self,
session,
sql,
transaction=None,
params=None,
param_types=None,
resume_token=None,
query_mode=None,
partition_token=None,
seqno=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=goo... | def execute_streaming_sql(
self,
session,
sql,
transaction=None,
params=None,
param_types=None,
resume_token=None,
query_mode=None,
partition_token=None,
seqno=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=goo... | [
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train | SpannerClient.execute_batch_dml | Executes a batch of SQL DML statements. This method allows many
statements to be run with lower latency than submitting them
sequentially with ``ExecuteSql``.
Statements are executed in order, sequentially.
``ExecuteBatchDmlResponse`` will contain a ``ResultSet`` for each DML
st... | spanner/google/cloud/spanner_v1/gapic/spanner_client.py | def execute_batch_dml(
self,
session,
transaction,
statements,
seqno,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Executes a batch of SQL DML statements. This met... | def execute_batch_dml(
self,
session,
transaction,
statements,
seqno,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
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train | SpannerClient.read | Reads rows from the database using key lookups and scans, as a simple
key/value style alternative to ``ExecuteSql``. This method cannot be
used to return a result set larger than 10 MiB; if the read matches more
data than that, the read fails with a ``FAILED_PRECONDITION`` error.
Reads ... | spanner/google/cloud/spanner_v1/gapic/spanner_client.py | def read(
self,
session,
table,
columns,
key_set,
transaction=None,
index=None,
limit=None,
resume_token=None,
partition_token=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFA... | def read(
self,
session,
table,
columns,
key_set,
transaction=None,
index=None,
limit=None,
resume_token=None,
partition_token=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFA... | [
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"set"... | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/spanner/google/cloud/spanner_v1/gapic/spanner_client.py#L992-L1132 | [
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",",... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
train | SpannerClient.commit | Commits a transaction. The request includes the mutations to be applied
to rows in the database.
``Commit`` might return an ``ABORTED`` error. This can occur at any
time; commonly, the cause is conflicts with concurrent transactions.
However, it can also happen for a variety of other re... | spanner/google/cloud/spanner_v1/gapic/spanner_client.py | def commit(
self,
session,
mutations,
transaction_id=None,
single_use_transaction=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Commits a transaction. The req... | def commit(
self,
session,
mutations,
transaction_id=None,
single_use_transaction=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Commits a transaction. The req... | [
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] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/spanner/google/cloud/spanner_v1/gapic/spanner_client.py#L1352-L1460 | [
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"=... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
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