Module pagers (1.59.0)

API documentation for aiplatform_v1.services.notebook_service.pagers module.

Classes

ListNotebookRuntimeTemplatesAsyncPager

ListNotebookRuntimeTemplatesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesRequest,
    response: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_notebook_runtime_templates requests.

This class thinly wraps an initial ListNotebookRuntimeTemplatesResponse object, and provides an __aiter__ method to iterate through its notebook_runtime_templates field.

If there are more pages, the __aiter__ method will make additional ListNotebookRuntimeTemplates requests and continue to iterate through the notebook_runtime_templates field on the corresponding responses.

All the usual ListNotebookRuntimeTemplatesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListNotebookRuntimeTemplatesPager

ListNotebookRuntimeTemplatesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesRequest,
    response: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_notebook_runtime_templates requests.

This class thinly wraps an initial ListNotebookRuntimeTemplatesResponse object, and provides an __iter__ method to iterate through its notebook_runtime_templates field.

If there are more pages, the __iter__ method will make additional ListNotebookRuntimeTemplates requests and continue to iterate through the notebook_runtime_templates field on the corresponding responses.

All the usual ListNotebookRuntimeTemplatesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListNotebookRuntimesAsyncPager

ListNotebookRuntimesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesRequest,
    response: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_notebook_runtimes requests.

This class thinly wraps an initial ListNotebookRuntimesResponse object, and provides an __aiter__ method to iterate through its notebook_runtimes field.

If there are more pages, the __aiter__ method will make additional ListNotebookRuntimes requests and continue to iterate through the notebook_runtimes field on the corresponding responses.

All the usual ListNotebookRuntimesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListNotebookRuntimesPager

ListNotebookRuntimesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesRequest,
    response: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_notebook_runtimes requests.

This class thinly wraps an initial ListNotebookRuntimesResponse object, and provides an __iter__ method to iterate through its notebook_runtimes field.

If there are more pages, the __iter__ method will make additional ListNotebookRuntimes requests and continue to iterate through the notebook_runtimes field on the corresponding responses.

All the usual ListNotebookRuntimesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.