🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

google/cloud/aiplatform_v1/__init__.py

@@ -703,9 +703,12 @@
 from .types.model_service import ListModelEvaluationsResponse
 from .types.model_service import ListModelsRequest
 from .types.model_service import ListModelsResponse
+from .types.model_service import ListModelVersionCheckpointsRequest
+from .types.model_service import ListModelVersionCheckpointsResponse
 from .types.model_service import ListModelVersionsRequest
 from .types.model_service import ListModelVersionsResponse
 from .types.model_service import MergeVersionAliasesRequest
+from .types.model_service import ModelVersionCheckpoint
 from .types.model_service import UpdateExplanationDatasetOperationMetadata
 from .types.model_service import UpdateExplanationDatasetRequest
 from .types.model_service import UpdateExplanationDatasetResponse
@@ -1534,6 +1537,8 @@
     "ListModelEvaluationSlicesResponse",
     "ListModelEvaluationsRequest",
     "ListModelEvaluationsResponse",
+    "ListModelVersionCheckpointsRequest",
+    "ListModelVersionCheckpointsResponse",
     "ListModelVersionsRequest",
     "ListModelVersionsResponse",
     "ListModelsRequest",
@@ -1620,6 +1625,7 @@
     "ModelMonitoringStatsAnomalies",
     "ModelServiceClient",
     "ModelSourceInfo",
+    "ModelVersionCheckpoint",
     "MutateDeployedIndexOperationMetadata",
     "MutateDeployedIndexRequest",
     "MutateDeployedIndexResponse",

google/cloud/aiplatform_v1/gapic_metadata.json

@@ -3191,6 +3191,11 @@
                 "list_model_evaluations"
               ]
             },
+            "ListModelVersionCheckpoints": {
+              "methods": [
+                "list_model_version_checkpoints"
+              ]
+            },
             "ListModelVersions": {
               "methods": [
                 "list_model_versions"
@@ -3286,6 +3291,11 @@
                 "list_model_evaluations"
               ]
             },
+            "ListModelVersionCheckpoints": {
+              "methods": [
+                "list_model_version_checkpoints"
+              ]
+            },
             "ListModelVersions": {
               "methods": [
                 "list_model_versions"
@@ -3381,6 +3391,11 @@
                 "list_model_evaluations"
               ]
             },
+            "ListModelVersionCheckpoints": {
+              "methods": [
+                "list_model_version_checkpoints"
+              ]
+            },
             "ListModelVersions": {
               "methods": [
                 "list_model_versions"

google/cloud/aiplatform_v1/services/model_service/async_client.py

@@ -820,6 +820,138 @@ async def sample_list_model_versions():
         # Done; return the response.
         return response
 
+    async def list_model_version_checkpoints(
+        self,
+        request: Optional[
+            Union[model_service.ListModelVersionCheckpointsRequest, dict]
+        ] = None,
+        *,
+        name: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
+    ) -> pagers.ListModelVersionCheckpointsAsyncPager:
+        r"""Lists checkpoints of the specified model version.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1
+
+            async def sample_list_model_version_checkpoints():
+                # Create a client
+                client = aiplatform_v1.ModelServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1.ListModelVersionCheckpointsRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                page_result = client.list_model_version_checkpoints(request=request)
+
+                # Handle the response
+                async for response in page_result:
+                    print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsRequest, dict]]):
+                The request object. Request message for
+                [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints].
+            name (:class:`str`):
+                Required. The name of the model version to list
+                checkpoints for.
+                ``projects/{project}/locations/{location}/models/{model}@{version}``
+                Example:
+                ``projects/{project}/locations/{location}/models/{model}@2``
+                or
+                ``projects/{project}/locations/{location}/models/{model}@golden``
+                If no version ID or alias is specified, the latest
+                version will be used.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
+                sent along with the request as metadata. Normally, each value must be of type `str`,
+                but for metadata keys ending with the suffix `-bin`, the corresponding values must
+                be of type `bytes`.
+
+        Returns:
+            google.cloud.aiplatform_v1.services.model_service.pagers.ListModelVersionCheckpointsAsyncPager:
+                Response message for
+                   [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints]
+
+                Iterating over this object will yield results and
+                resolve additional pages automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, model_service.ListModelVersionCheckpointsRequest):
+            request = model_service.ListModelVersionCheckpointsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.list_model_version_checkpoints
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__aiter__` convenience method.
+        response = pagers.ListModelVersionCheckpointsAsyncPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
     async def update_model(
         self,
         request: Optional[Union[model_service.UpdateModelRequest, dict]] = None,

google/cloud/aiplatform_v1/services/model_service/client.py

@@ -1337,6 +1337,137 @@ def sample_list_model_versions():
         # Done; return the response.
         return response
 
+    def list_model_version_checkpoints(
+        self,
+        request: Optional[
+            Union[model_service.ListModelVersionCheckpointsRequest, dict]
+        ] = None,
+        *,
+        name: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
+    ) -> pagers.ListModelVersionCheckpointsPager:
+        r"""Lists checkpoints of the specified model version.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1
+
+            def sample_list_model_version_checkpoints():
+                # Create a client
+                client = aiplatform_v1.ModelServiceClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1.ListModelVersionCheckpointsRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                page_result = client.list_model_version_checkpoints(request=request)
+
+                # Handle the response
+                for response in page_result:
+                    print(response)
+
+        Args:
+            request (Union[google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsRequest, dict]):
+                The request object. Request message for
+                [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints].
+            name (str):
+                Required. The name of the model version to list
+                checkpoints for.
+                ``projects/{project}/locations/{location}/models/{model}@{version}``
+                Example:
+                ``projects/{project}/locations/{location}/models/{model}@2``
+                or
+                ``projects/{project}/locations/{location}/models/{model}@golden``
+                If no version ID or alias is specified, the latest
+                version will be used.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
+                sent along with the request as metadata. Normally, each value must be of type `str`,
+                but for metadata keys ending with the suffix `-bin`, the corresponding values must
+                be of type `bytes`.
+
+        Returns:
+            google.cloud.aiplatform_v1.services.model_service.pagers.ListModelVersionCheckpointsPager:
+                Response message for
+                   [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints]
+
+                Iterating over this object will yield results and
+                resolve additional pages automatically.
+
+        """
+        # Create or coerce a protobuf request object.
+        # - Quick check: If we got a request object, we should *not* have
+        #   gotten any keyword arguments that map to the request.
+        has_flattened_params = any([name])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, model_service.ListModelVersionCheckpointsRequest):
+            request = model_service.ListModelVersionCheckpointsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[
+            self._transport.list_model_version_checkpoints
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Validate the universe domain.
+        self._validate_universe_domain()
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # This method is paged; wrap the response in a pager, which provides
+        # an `__iter__` convenience method.
+        response = pagers.ListModelVersionCheckpointsPager(
+            method=rpc,
+            request=request,
+            response=response,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
     def update_model(
         self,
         request: Optional[Union[model_service.UpdateModelRequest, dict]] = None,