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chore: regenerate code with gapic-generator-python 1.4.4
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‎.kokoro/samples/python3.10/common.cfg

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# Declare build specific Cloud project.
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env_vars: {
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key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
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value: "python-docs-samples-tests-310"
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value: "ucaip-sample-tests"
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}
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env_vars: {

‎.kokoro/samples/python3.7/common.cfg

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# Declare build specific Cloud project.
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env_vars: {
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key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
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value: "python-docs-samples-tests-py37"
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value: "ucaip-sample-tests"
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}
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env_vars: {

‎.kokoro/samples/python3.8/common.cfg

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# Declare build specific Cloud project.
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env_vars: {
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key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
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value: "python-docs-samples-tests-py38"
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value: "ucaip-sample-tests"
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}
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env_vars: {

‎.kokoro/samples/python3.9/common.cfg

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# Declare build specific Cloud project.
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env_vars: {
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key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
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value: "python-docs-samples-tests-py39"
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value: "ucaip-sample-tests"
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}
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env_vars: {

‎google/cloud/aiplatform/v1/schema/predict/instance/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1.schema.predict.instance import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from google.cloud.aiplatform.v1.schema.predict.instance_v1.types.image_classification import (

‎google/cloud/aiplatform/v1/schema/predict/instance_v1/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1.schema.predict.instance import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from .types.image_classification import ImageClassificationPredictionInstance

‎google/cloud/aiplatform/v1/schema/predict/params/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1.schema.predict.params import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from google.cloud.aiplatform.v1.schema.predict.params_v1.types.image_classification import (

‎google/cloud/aiplatform/v1/schema/predict/params_v1/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1.schema.predict.params import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from .types.image_classification import ImageClassificationPredictionParams

‎google/cloud/aiplatform/v1/schema/predict/prediction/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1.schema.predict.prediction import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.classification import (

‎google/cloud/aiplatform/v1/schema/predict/prediction_v1/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1.schema.predict.prediction import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from .types.classification import ClassificationPredictionResult

‎google/cloud/aiplatform/v1/schema/trainingjob/definition/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1.schema.trainingjob.definition import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.automl_image_classification import (

‎google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1.schema.trainingjob.definition import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from .types.automl_image_classification import AutoMlImageClassification

‎google/cloud/aiplatform/v1beta1/schema/predict/instance/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1beta1.schema.predict.instance import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.image_classification import (

‎google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1beta1.schema.predict.instance import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from .types.image_classification import ImageClassificationPredictionInstance

‎google/cloud/aiplatform/v1beta1/schema/predict/params/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1beta1.schema.predict.params import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.image_classification import (

‎google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1beta1.schema.predict.params import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from .types.image_classification import ImageClassificationPredictionParams

‎google/cloud/aiplatform/v1beta1/schema/predict/prediction/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1beta1.schema.predict.prediction import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.classification import (

‎google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1beta1.schema.predict.prediction import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from .types.classification import ClassificationPredictionResult

‎google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.automl_image_classification import (

‎google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition import (
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gapic_version as package_version,
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)
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__version__ = package_version.__version__
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from .types.automl_image_classification import AutoMlImageClassification

‎google/cloud/aiplatform_v1/__init__.py

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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.aiplatform import gapic_version as package_version
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__version__ = package_version.__version__
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from .services.dataset_service import DatasetServiceClient
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from .services.dataset_service import DatasetServiceAsyncClient

‎google/cloud/aiplatform_v1/services/dataset_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, Mapping, Optional, Sequence, Tuple, Type, Union, cast
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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
@@ -451,7 +451,7 @@ def __init__(
451451
*,
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credentials: Optional[ga_credentials.Credentials] = None,
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transport: Union[str, DatasetServiceTransport, None] = None,
454-
client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
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client_options: Optional[client_options_lib.ClientOptions] = None,
455455
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
456456
) -> None:
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"""Instantiates the dataset service client.
@@ -465,7 +465,7 @@ def __init__(
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transport (Union[str, DatasetServiceTransport]): The
466466
transport to use. If set to None, a transport is chosen
467467
automatically.
468-
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the
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client_options (google.api_core.client_options.ClientOptions): Custom options for the
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client. It won't take effect if a ``transport`` instance is provided.
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(1) The ``api_endpoint`` property can be used to override the
471471
default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
@@ -495,7 +495,6 @@ def __init__(
495495
client_options = client_options_lib.from_dict(client_options)
496496
if client_options is None:
497497
client_options = client_options_lib.ClientOptions()
498-
client_options = cast(client_options_lib.ClientOptions, client_options)
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500499
api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(
501500
client_options

‎google/cloud/aiplatform_v1/services/endpoint_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, Mapping, Optional, Sequence, Tuple, Type, Union, cast
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from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union
2020
import pkg_resources
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from google.api_core import client_options as client_options_lib
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409409
*,
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credentials: Optional[ga_credentials.Credentials] = None,
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transport: Union[str, EndpointServiceTransport, None] = None,
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client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
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client_options: Optional[client_options_lib.ClientOptions] = None,
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client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
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) -> None:
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"""Instantiates the endpoint service client.
@@ -423,7 +423,7 @@ def __init__(
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transport (Union[str, EndpointServiceTransport]): The
424424
transport to use. If set to None, a transport is chosen
425425
automatically.
426-
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the
426+
client_options (google.api_core.client_options.ClientOptions): Custom options for the
427427
client. It won't take effect if a ``transport`` instance is provided.
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(1) The ``api_endpoint`` property can be used to override the
429429
default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
@@ -453,7 +453,6 @@ def __init__(
453453
client_options = client_options_lib.from_dict(client_options)
454454
if client_options is None:
455455
client_options = client_options_lib.ClientOptions()
456-
client_options = cast(client_options_lib.ClientOptions, client_options)
457456

458457
api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(
459458
client_options

‎google/cloud/aiplatform_v1/services/featurestore_online_serving_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, Mapping, Optional, Iterable, Sequence, Tuple, Type, Union, cast
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from typing import Dict, Mapping, Optional, Iterable, Sequence, Tuple, Type, Union
2020
import pkg_resources
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from google.api_core import client_options as client_options_lib
@@ -347,7 +347,7 @@ def __init__(
347347
*,
348348
credentials: Optional[ga_credentials.Credentials] = None,
349349
transport: Union[str, FeaturestoreOnlineServingServiceTransport, None] = None,
350-
client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
350+
client_options: Optional[client_options_lib.ClientOptions] = None,
351351
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
352352
) -> None:
353353
"""Instantiates the featurestore online serving service client.
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361361
transport (Union[str, FeaturestoreOnlineServingServiceTransport]): The
362362
transport to use. If set to None, a transport is chosen
363363
automatically.
364-
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the
364+
client_options (google.api_core.client_options.ClientOptions): Custom options for the
365365
client. It won't take effect if a ``transport`` instance is provided.
366366
(1) The ``api_endpoint`` property can be used to override the
367367
default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
@@ -391,7 +391,6 @@ def __init__(
391391
client_options = client_options_lib.from_dict(client_options)
392392
if client_options is None:
393393
client_options = client_options_lib.ClientOptions()
394-
client_options = cast(client_options_lib.ClientOptions, client_options)
395394

396395
api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(
397396
client_options

‎google/cloud/aiplatform_v1/services/featurestore_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, Mapping, Optional, Sequence, Tuple, Type, Union, cast
19+
from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union
2020
import pkg_resources
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from google.api_core import client_options as client_options_lib
@@ -403,7 +403,7 @@ def __init__(
403403
*,
404404
credentials: Optional[ga_credentials.Credentials] = None,
405405
transport: Union[str, FeaturestoreServiceTransport, None] = None,
406-
client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
406+
client_options: Optional[client_options_lib.ClientOptions] = None,
407407
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
408408
) -> None:
409409
"""Instantiates the featurestore service client.
@@ -417,7 +417,7 @@ def __init__(
417417
transport (Union[str, FeaturestoreServiceTransport]): The
418418
transport to use. If set to None, a transport is chosen
419419
automatically.
420-
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the
420+
client_options (google.api_core.client_options.ClientOptions): Custom options for the
421421
client. It won't take effect if a ``transport`` instance is provided.
422422
(1) The ``api_endpoint`` property can be used to override the
423423
default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
@@ -447,7 +447,6 @@ def __init__(
447447
client_options = client_options_lib.from_dict(client_options)
448448
if client_options is None:
449449
client_options = client_options_lib.ClientOptions()
450-
client_options = cast(client_options_lib.ClientOptions, client_options)
451450

452451
api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(
453452
client_options

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