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gcf-owl-bot[bot]parthea
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chore: use gapic-generator-python 0.65.1 (#377)
* chore: use gapic-generator-python 0.65.1 PiperOrigin-RevId: 441524537 Source-Link: googleapis/googleapis@2a27391 Source-Link: googleapis/googleapis-gen@ab6756a Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiYWI2NzU2YTQ4Yzg5YjViY2I5ZmI3MzQ0M2NiOGU1NWQ1NzRmNDY0MyJ9 * 🦉 Updates from OwlBot post-processor See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com> Co-authored-by: Anthonios Partheniou <partheniou@google.com>
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‎packages/google-cloud-automl/google/cloud/automl_v1/services/auto_ml/async_client.py‎

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from collections import OrderedDict
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import functools
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import re
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from typing import Dict, Optional, Sequence, Tuple, Type, Union
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from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union
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import pkg_resources
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from google.api_core.client_options import ClientOptions
@@ -708,7 +708,6 @@ async def delete_dataset(
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completes, and ``delete_details`` in the
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[metadata][google.longrunning.Operation.metadata] field.
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.. code-block:: python
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from google.cloud import automl_v1
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in the [response][google.longrunning.Operation.response]
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field when it completes.
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.. code-block:: python
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from google.cloud import automl_v1
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[response][google.longrunning.Operation.response] field when it
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completes.
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.. code-block:: python
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from google.cloud import automl_v1
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are created for it: a global evaluation, and one evaluation for
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each annotation spec.
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.. code-block:: python
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from google.cloud import automl_v1
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completes, and ``delete_details`` in the
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[metadata][google.longrunning.Operation.metadata] field.
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.. code-block:: python
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from google.cloud import automl_v1
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[response][google.longrunning.Operation.response] field when it
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completes.
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.. code-block:: python
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from google.cloud import automl_v1
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[response][google.longrunning.Operation.response] field when it
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completes.
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.. code-block:: python
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from google.cloud import automl_v1
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[response][google.longrunning.Operation.response] field when it
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completes.
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.. code-block:: python
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from google.cloud import automl_v1

‎packages/google-cloud-automl/google/cloud/automl_v1/services/auto_ml/client.py‎

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from collections import OrderedDict
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import os
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import re
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from typing import Dict, Optional, Sequence, Tuple, Type, Union
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from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union
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import pkg_resources
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from google.api_core import client_options as client_options_lib
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completes, and ``delete_details`` in the
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[metadata][google.longrunning.Operation.metadata] field.
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.. code-block:: python
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from google.cloud import automl_v1
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in the [response][google.longrunning.Operation.response]
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field when it completes.
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.. code-block:: python
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from google.cloud import automl_v1
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[response][google.longrunning.Operation.response] field when it
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completes.
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.. code-block:: python
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from google.cloud import automl_v1
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are created for it: a global evaluation, and one evaluation for
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each annotation spec.
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.. code-block:: python
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from google.cloud import automl_v1
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completes, and ``delete_details`` in the
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[metadata][google.longrunning.Operation.metadata] field.
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.. code-block:: python
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from google.cloud import automl_v1
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[response][google.longrunning.Operation.response] field when it
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completes.
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.. code-block:: python
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from google.cloud import automl_v1
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[response][google.longrunning.Operation.response] field when it
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completes.
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from google.cloud import automl_v1
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[response][google.longrunning.Operation.response] field when it
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.. code-block:: python
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from google.cloud import automl_v1

‎packages/google-cloud-automl/google/cloud/automl_v1/services/auto_ml/transports/base.py‎

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always_use_jwt_access (Optional[bool]): Whether self signed JWT should
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be used for service account credentials.
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"""
91+
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# Save the hostname. Default to port 443 (HTTPS) if none is specified.
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if ":" not in host:
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host += ":443"
@@ -491,5 +492,9 @@ def list_model_evaluations(
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]:
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raise NotImplementedError()
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@property
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def kind(self) -> str:
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raise NotImplementedError()
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__all__ = ("AutoMlTransport",)

‎packages/google-cloud-automl/google/cloud/automl_v1/services/auto_ml/transports/grpc.py‎

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def close(self):
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self.grpc_channel.close()
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@property
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def kind(self) -> str:
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return "grpc"
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__all__ = ("AutoMlGrpcTransport",)

‎packages/google-cloud-automl/google/cloud/automl_v1/services/prediction_service/async_client.py‎

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from collections import OrderedDict
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import functools
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import re
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from typing import Dict, Optional, Sequence, Tuple, Type, Union
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from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union
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import pkg_resources
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from google.api_core.client_options import ClientOptions
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*,
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name: str = None,
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payload: data_items.ExamplePayload = None,
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params: Sequence[prediction_service.PredictRequest.ParamsEntry] = None,
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params: Mapping[str, str] = None,
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timeout: float = None,
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metadata: Sequence[Tuple[str, str]] = (),
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- A row with column values matching the columns of the model,
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up to 5MB. Not available for FORECASTING ``prediction_type``.
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on the ``request`` instance; if ``request`` is provided, this
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params (:class:`Sequence[google.cloud.automl_v1.types.PredictRequest.ParamsEntry]`):
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params (:class:`Mapping[str, str]`):
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Additional domain-specific parameters, any string must
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params: Mapping[str, str] = None,
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retry: OptionalRetry = gapic_v1.method.DEFAULT,
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metadata: Sequence[Tuple[str, str]] = (),
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- AutoML Natural Language Sentiment Analysis
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- AutoML Tables
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.. code-block:: python
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from google.cloud import automl_v1
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params (:class:`Sequence[google.cloud.automl_v1.types.BatchPredictRequest.ParamsEntry]`):
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params (:class:`Mapping[str, str]`):
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‎packages/google-cloud-automl/google/cloud/automl_v1/services/prediction_service/client.py‎

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from collections import OrderedDict
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import os
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import re
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from typing import Dict, Optional, Sequence, Tuple, Type, Union
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from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union
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import pkg_resources
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from google.api_core import client_options as client_options_lib
@@ -441,7 +441,7 @@ def predict(
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*,
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name: str = None,
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payload: data_items.ExamplePayload = None,
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params: Sequence[prediction_service.PredictRequest.ParamsEntry] = None,
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params: Mapping[str, str] = None,
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retry: OptionalRetry = gapic_v1.method.DEFAULT,
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timeout: float = None,
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metadata: Sequence[Tuple[str, str]] = (),
@@ -484,7 +484,6 @@ def predict(
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- A row with column values matching the columns of the model,
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up to 5MB. Not available for FORECASTING ``prediction_type``.
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.. code-block:: python
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from google.cloud import automl_v1
@@ -528,7 +527,7 @@ def sample_predict():
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This corresponds to the ``payload`` field
529528
on the ``request`` instance; if ``request`` is provided, this
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should not be set.
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params (Sequence[google.cloud.automl_v1.types.PredictRequest.ParamsEntry]):
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params (Mapping[str, str]):
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Additional domain-specific parameters, any string must
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be up to 25000 characters long.
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@@ -627,7 +626,7 @@ def batch_predict(
627626
name: str = None,
628627
input_config: io.BatchPredictInputConfig = None,
629628
output_config: io.BatchPredictOutputConfig = None,
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params: Sequence[prediction_service.BatchPredictRequest.ParamsEntry] = None,
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params: Mapping[str, str] = None,
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retry: OptionalRetry = gapic_v1.method.DEFAULT,
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timeout: float = None,
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metadata: Sequence[Tuple[str, str]] = (),
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- AutoML Natural Language Sentiment Analysis
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- AutoML Tables
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.. code-block:: python
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from google.cloud import automl_v1
@@ -711,7 +709,7 @@ def sample_batch_predict():
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This corresponds to the ``output_config`` field
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on the ``request`` instance; if ``request`` is provided, this
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should not be set.
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params (Sequence[google.cloud.automl_v1.types.BatchPredictRequest.ParamsEntry]):
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params (Mapping[str, str]):
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Additional domain-specific parameters for the
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predictions, any string must be up to 25000 characters
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long.

‎packages/google-cloud-automl/google/cloud/automl_v1/services/prediction_service/transports/base.py‎

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always_use_jwt_access (Optional[bool]): Whether self signed JWT should
8383
be used for service account credentials.
8484
"""
85+
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# Save the hostname. Default to port 443 (HTTPS) if none is specified.
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if ":" not in host:
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host += ":443"
@@ -169,5 +170,9 @@ def batch_predict(
169170
]:
170171
raise NotImplementedError()
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173+
@property
174+
def kind(self) -> str:
175+
raise NotImplementedError()
176+
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__all__ = ("PredictionServiceTransport",)

‎packages/google-cloud-automl/google/cloud/automl_v1/services/prediction_service/transports/grpc.py‎

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def close(self):
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self.grpc_channel.close()
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@property
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def kind(self) -> str:
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return "grpc"
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__all__ = ("PredictionServiceGrpcTransport",)

‎packages/google-cloud-automl/google/cloud/automl_v1/types/__init__.py‎

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# See the License for the specific language governing permissions and
1414
# limitations under the License.
1515
#
16-
from .annotation_payload import AnnotationPayload
17-
from .annotation_spec import AnnotationSpec
16+
from .annotation_payload import (
17+
AnnotationPayload,
18+
)
19+
from .annotation_spec import (
20+
AnnotationSpec,
21+
)
1822
from .classification import (
1923
ClassificationAnnotation,
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ClassificationEvaluationMetrics,
@@ -27,7 +31,9 @@
2731
Image,
2832
TextSnippet,
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)
30-
from .dataset import Dataset
34+
from .dataset import (
35+
Dataset,
36+
)
3137
from .detection import (
3238
BoundingBoxMetricsEntry,
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ImageObjectDetectionAnnotation,
@@ -55,8 +61,12 @@
5561
ModelExportOutputConfig,
5662
OutputConfig,
5763
)
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from .model import Model
59-
from .model_evaluation import ModelEvaluation
64+
from .model import (
65+
Model,
66+
)
67+
from .model_evaluation import (
68+
ModelEvaluation,
69+
)
6070
from .operations import (
6171
BatchPredictOperationMetadata,
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CreateDatasetOperationMetadata,
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110120
TextExtractionAnnotation,
111121
TextExtractionEvaluationMetrics,
112122
)
113-
from .text_segment import TextSegment
123+
from .text_segment import (
124+
TextSegment,
125+
)
114126
from .text_sentiment import (
115127
TextSentimentAnnotation,
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TextSentimentEvaluationMetrics,

‎packages/google-cloud-automl/google/cloud/automl_v1/types/dataset.py‎

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Used to perform consistent read-modify-write
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updates. If not set, a blind "overwrite" update
9494
happens.
95-
labels (Sequence[google.cloud.automl_v1.types.Dataset.LabelsEntry]):
95+
labels (Mapping[str, str]):
9696
Optional. The labels with user-defined
9797
metadata to organize your dataset.
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Label keys and values can be no longer than 64

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