# -*- coding: utf-8 -*- # Copyright 2025 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from google.api_core import gapic_v1 from google.api_core import retry as retries from google.api_core import retry_async as retries_async from typing import ( Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union, ) try: OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] OptionalAsyncRetry = Union[ retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None ] except AttributeError: # pragma: NO COVER OptionalRetry = Union[retries.Retry, object, None] # type: ignore OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore from google.cloud.aiplatform_v1.types import model from google.cloud.aiplatform_v1.types import model_evaluation from google.cloud.aiplatform_v1.types import model_evaluation_slice from google.cloud.aiplatform_v1.types import model_service class ListModelsPager: """A pager for iterating through ``list_models`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListModelsResponse` object, and provides an ``__iter__`` method to iterate through its ``models`` field. If there are more pages, the ``__iter__`` method will make additional ``ListModels`` requests and continue to iterate through the ``models`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListModelsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., model_service.ListModelsResponse], request: model_service.ListModelsRequest, response: model_service.ListModelsResponse, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListModelsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListModelsResponse): The initial response object. 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`. """ self._method = method self._request = model_service.ListModelsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages(self) -> Iterator[model_service.ListModelsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __iter__(self) -> Iterator[model.Model]: for page in self.pages: yield from page.models def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListModelsAsyncPager: """A pager for iterating through ``list_models`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListModelsResponse` object, and provides an ``__aiter__`` method to iterate through its ``models`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListModels`` requests and continue to iterate through the ``models`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListModelsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., Awaitable[model_service.ListModelsResponse]], request: model_service.ListModelsRequest, response: model_service.ListModelsResponse, *, retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiates the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListModelsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListModelsResponse): The initial response object. retry (google.api_core.retry.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`. """ self._method = method self._request = model_service.ListModelsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property async def pages(self) -> AsyncIterator[model_service.ListModelsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = await self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __aiter__(self) -> AsyncIterator[model.Model]: async def async_generator(): async for page in self.pages: for response in page.models: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListModelVersionsPager: """A pager for iterating through ``list_model_versions`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListModelVersionsResponse` object, and provides an ``__iter__`` method to iterate through its ``models`` field. If there are more pages, the ``__iter__`` method will make additional ``ListModelVersions`` requests and continue to iterate through the ``models`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListModelVersionsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., model_service.ListModelVersionsResponse], request: model_service.ListModelVersionsRequest, response: model_service.ListModelVersionsResponse, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListModelVersionsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListModelVersionsResponse): The initial response object. 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`. """ self._method = method self._request = model_service.ListModelVersionsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages(self) -> Iterator[model_service.ListModelVersionsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __iter__(self) -> Iterator[model.Model]: for page in self.pages: yield from page.models def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListModelVersionsAsyncPager: """A pager for iterating through ``list_model_versions`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListModelVersionsResponse` object, and provides an ``__aiter__`` method to iterate through its ``models`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListModelVersions`` requests and continue to iterate through the ``models`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListModelVersionsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., Awaitable[model_service.ListModelVersionsResponse]], request: model_service.ListModelVersionsRequest, response: model_service.ListModelVersionsResponse, *, retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiates the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListModelVersionsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListModelVersionsResponse): The initial response object. retry (google.api_core.retry.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`. """ self._method = method self._request = model_service.ListModelVersionsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property async def pages(self) -> AsyncIterator[model_service.ListModelVersionsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = await self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __aiter__(self) -> AsyncIterator[model.Model]: async def async_generator(): async for page in self.pages: for response in page.models: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListModelVersionCheckpointsPager: """A pager for iterating through ``list_model_version_checkpoints`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsResponse` object, and provides an ``__iter__`` method to iterate through its ``checkpoints`` field. If there are more pages, the ``__iter__`` method will make additional ``ListModelVersionCheckpoints`` requests and continue to iterate through the ``checkpoints`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., model_service.ListModelVersionCheckpointsResponse], request: model_service.ListModelVersionCheckpointsRequest, response: model_service.ListModelVersionCheckpointsResponse, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsResponse): The initial response object. 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`. """ self._method = method self._request = model_service.ListModelVersionCheckpointsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages(self) -> Iterator[model_service.ListModelVersionCheckpointsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __iter__(self) -> Iterator[model_service.ModelVersionCheckpoint]: for page in self.pages: yield from page.checkpoints def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListModelVersionCheckpointsAsyncPager: """A pager for iterating through ``list_model_version_checkpoints`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsResponse` object, and provides an ``__aiter__`` method to iterate through its ``checkpoints`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListModelVersionCheckpoints`` requests and continue to iterate through the ``checkpoints`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[ ..., Awaitable[model_service.ListModelVersionCheckpointsResponse] ], request: model_service.ListModelVersionCheckpointsRequest, response: model_service.ListModelVersionCheckpointsResponse, *, retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiates the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsResponse): The initial response object. retry (google.api_core.retry.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`. """ self._method = method self._request = model_service.ListModelVersionCheckpointsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property async def pages( self, ) -> AsyncIterator[model_service.ListModelVersionCheckpointsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = await self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __aiter__(self) -> AsyncIterator[model_service.ModelVersionCheckpoint]: async def async_generator(): async for page in self.pages: for response in page.checkpoints: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListModelEvaluationsPager: """A pager for iterating through ``list_model_evaluations`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse` object, and provides an ``__iter__`` method to iterate through its ``model_evaluations`` field. If there are more pages, the ``__iter__`` method will make additional ``ListModelEvaluations`` requests and continue to iterate through the ``model_evaluations`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., model_service.ListModelEvaluationsResponse], request: model_service.ListModelEvaluationsRequest, response: model_service.ListModelEvaluationsResponse, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListModelEvaluationsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse): The initial response object. 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`. """ self._method = method self._request = model_service.ListModelEvaluationsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages(self) -> Iterator[model_service.ListModelEvaluationsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __iter__(self) -> Iterator[model_evaluation.ModelEvaluation]: for page in self.pages: yield from page.model_evaluations def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListModelEvaluationsAsyncPager: """A pager for iterating through ``list_model_evaluations`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse` object, and provides an ``__aiter__`` method to iterate through its ``model_evaluations`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListModelEvaluations`` requests and continue to iterate through the ``model_evaluations`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., Awaitable[model_service.ListModelEvaluationsResponse]], request: model_service.ListModelEvaluationsRequest, response: model_service.ListModelEvaluationsResponse, *, retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiates the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListModelEvaluationsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse): The initial response object. retry (google.api_core.retry.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`. """ self._method = method self._request = model_service.ListModelEvaluationsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property async def pages(self) -> AsyncIterator[model_service.ListModelEvaluationsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = await self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __aiter__(self) -> AsyncIterator[model_evaluation.ModelEvaluation]: async def async_generator(): async for page in self.pages: for response in page.model_evaluations: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListModelEvaluationSlicesPager: """A pager for iterating through ``list_model_evaluation_slices`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse` object, and provides an ``__iter__`` method to iterate through its ``model_evaluation_slices`` field. If there are more pages, the ``__iter__`` method will make additional ``ListModelEvaluationSlices`` requests and continue to iterate through the ``model_evaluation_slices`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., model_service.ListModelEvaluationSlicesResponse], request: model_service.ListModelEvaluationSlicesRequest, response: model_service.ListModelEvaluationSlicesResponse, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse): The initial response object. 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`. """ self._method = method self._request = model_service.ListModelEvaluationSlicesRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages(self) -> Iterator[model_service.ListModelEvaluationSlicesResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __iter__(self) -> Iterator[model_evaluation_slice.ModelEvaluationSlice]: for page in self.pages: yield from page.model_evaluation_slices def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListModelEvaluationSlicesAsyncPager: """A pager for iterating through ``list_model_evaluation_slices`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse` object, and provides an ``__aiter__`` method to iterate through its ``model_evaluation_slices`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListModelEvaluationSlices`` requests and continue to iterate through the ``model_evaluation_slices`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[ ..., Awaitable[model_service.ListModelEvaluationSlicesResponse] ], request: model_service.ListModelEvaluationSlicesRequest, response: model_service.ListModelEvaluationSlicesResponse, *, retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiates the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse): The initial response object. retry (google.api_core.retry.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`. """ self._method = method self._request = model_service.ListModelEvaluationSlicesRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property async def pages( self, ) -> AsyncIterator[model_service.ListModelEvaluationSlicesResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = await self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __aiter__(self) -> AsyncIterator[model_evaluation_slice.ModelEvaluationSlice]: async def async_generator(): async for page in self.pages: for response in page.model_evaluation_slices: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response)