API documentation for datalabeling_v1beta1.services.data_labeling_service.pagers
module.
Classes
ListAnnotatedDatasetsAsyncPager
ListAnnotatedDatasetsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListAnnotatedDatasetsResponse
],
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListAnnotatedDatasetsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListAnnotatedDatasetsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_annotated_datasets
requests.
This class thinly wraps an initial
ListAnnotatedDatasetsResponse object, and
provides an __aiter__
method to iterate through its
annotated_datasets
field.
If there are more pages, the __aiter__
method will make additional
ListAnnotatedDatasets
requests and continue to iterate
through the annotated_datasets
field on the
corresponding responses.
All the usual ListAnnotatedDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListAnnotatedDatasetsPager
ListAnnotatedDatasetsPager(
method: typing.Callable[
[...],
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListAnnotatedDatasetsResponse,
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListAnnotatedDatasetsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListAnnotatedDatasetsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_annotated_datasets
requests.
This class thinly wraps an initial
ListAnnotatedDatasetsResponse object, and
provides an __iter__
method to iterate through its
annotated_datasets
field.
If there are more pages, the __iter__
method will make additional
ListAnnotatedDatasets
requests and continue to iterate
through the annotated_datasets
field on the
corresponding responses.
All the usual ListAnnotatedDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListAnnotationSpecSetsAsyncPager
ListAnnotationSpecSetsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListAnnotationSpecSetsResponse
],
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListAnnotationSpecSetsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListAnnotationSpecSetsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_annotation_spec_sets
requests.
This class thinly wraps an initial
ListAnnotationSpecSetsResponse object, and
provides an __aiter__
method to iterate through its
annotation_spec_sets
field.
If there are more pages, the __aiter__
method will make additional
ListAnnotationSpecSets
requests and continue to iterate
through the annotation_spec_sets
field on the
corresponding responses.
All the usual ListAnnotationSpecSetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListAnnotationSpecSetsPager
ListAnnotationSpecSetsPager(
method: typing.Callable[
[...],
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListAnnotationSpecSetsResponse,
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListAnnotationSpecSetsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListAnnotationSpecSetsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_annotation_spec_sets
requests.
This class thinly wraps an initial
ListAnnotationSpecSetsResponse object, and
provides an __iter__
method to iterate through its
annotation_spec_sets
field.
If there are more pages, the __iter__
method will make additional
ListAnnotationSpecSets
requests and continue to iterate
through the annotation_spec_sets
field on the
corresponding responses.
All the usual ListAnnotationSpecSetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListDataItemsAsyncPager
ListDataItemsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListDataItemsResponse
],
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListDataItemsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListDataItemsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_data_items
requests.
This class thinly wraps an initial
ListDataItemsResponse object, and
provides an __aiter__
method to iterate through its
data_items
field.
If there are more pages, the __aiter__
method will make additional
ListDataItems
requests and continue to iterate
through the data_items
field on the
corresponding responses.
All the usual ListDataItemsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListDataItemsPager
ListDataItemsPager(
method: typing.Callable[
[...],
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListDataItemsResponse,
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListDataItemsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListDataItemsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_data_items
requests.
This class thinly wraps an initial
ListDataItemsResponse object, and
provides an __iter__
method to iterate through its
data_items
field.
If there are more pages, the __iter__
method will make additional
ListDataItems
requests and continue to iterate
through the data_items
field on the
corresponding responses.
All the usual ListDataItemsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListDatasetsAsyncPager
ListDatasetsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListDatasetsResponse
],
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListDatasetsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListDatasetsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_datasets
requests.
This class thinly wraps an initial
ListDatasetsResponse object, and
provides an __aiter__
method to iterate through its
datasets
field.
If there are more pages, the __aiter__
method will make additional
ListDatasets
requests and continue to iterate
through the datasets
field on the
corresponding responses.
All the usual ListDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListDatasetsPager
ListDatasetsPager(
method: typing.Callable[
[...],
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListDatasetsResponse,
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListDatasetsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListDatasetsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_datasets
requests.
This class thinly wraps an initial
ListDatasetsResponse object, and
provides an __iter__
method to iterate through its
datasets
field.
If there are more pages, the __iter__
method will make additional
ListDatasets
requests and continue to iterate
through the datasets
field on the
corresponding responses.
All the usual ListDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListEvaluationJobsAsyncPager
ListEvaluationJobsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListEvaluationJobsResponse
],
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListEvaluationJobsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListEvaluationJobsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_evaluation_jobs
requests.
This class thinly wraps an initial
ListEvaluationJobsResponse object, and
provides an __aiter__
method to iterate through its
evaluation_jobs
field.
If there are more pages, the __aiter__
method will make additional
ListEvaluationJobs
requests and continue to iterate
through the evaluation_jobs
field on the
corresponding responses.
All the usual ListEvaluationJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListEvaluationJobsPager
ListEvaluationJobsPager(
method: typing.Callable[
[...],
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListEvaluationJobsResponse,
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListEvaluationJobsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListEvaluationJobsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_evaluation_jobs
requests.
This class thinly wraps an initial
ListEvaluationJobsResponse object, and
provides an __iter__
method to iterate through its
evaluation_jobs
field.
If there are more pages, the __iter__
method will make additional
ListEvaluationJobs
requests and continue to iterate
through the evaluation_jobs
field on the
corresponding responses.
All the usual ListEvaluationJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListExamplesAsyncPager
ListExamplesAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListExamplesResponse
],
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListExamplesRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListExamplesResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_examples
requests.
This class thinly wraps an initial
ListExamplesResponse object, and
provides an __aiter__
method to iterate through its
examples
field.
If there are more pages, the __aiter__
method will make additional
ListExamples
requests and continue to iterate
through the examples
field on the
corresponding responses.
All the usual ListExamplesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListExamplesPager
ListExamplesPager(
method: typing.Callable[
[...],
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListExamplesResponse,
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListExamplesRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListExamplesResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_examples
requests.
This class thinly wraps an initial
ListExamplesResponse object, and
provides an __iter__
method to iterate through its
examples
field.
If there are more pages, the __iter__
method will make additional
ListExamples
requests and continue to iterate
through the examples
field on the
corresponding responses.
All the usual ListExamplesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListInstructionsAsyncPager
ListInstructionsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListInstructionsResponse
],
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListInstructionsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListInstructionsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_instructions
requests.
This class thinly wraps an initial
ListInstructionsResponse object, and
provides an __aiter__
method to iterate through its
instructions
field.
If there are more pages, the __aiter__
method will make additional
ListInstructions
requests and continue to iterate
through the instructions
field on the
corresponding responses.
All the usual ListInstructionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListInstructionsPager
ListInstructionsPager(
method: typing.Callable[
[...],
google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListInstructionsResponse,
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListInstructionsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.ListInstructionsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through list_instructions
requests.
This class thinly wraps an initial
ListInstructionsResponse object, and
provides an __iter__
method to iterate through its
instructions
field.
If there are more pages, the __iter__
method will make additional
ListInstructions
requests and continue to iterate
through the instructions
field on the
corresponding responses.
All the usual ListInstructionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
SearchEvaluationsAsyncPager
SearchEvaluationsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.datalabeling_v1beta1.types.data_labeling_service.SearchEvaluationsResponse
],
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.SearchEvaluationsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.SearchEvaluationsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through search_evaluations
requests.
This class thinly wraps an initial
SearchEvaluationsResponse object, and
provides an __aiter__
method to iterate through its
evaluations
field.
If there are more pages, the __aiter__
method will make additional
SearchEvaluations
requests and continue to iterate
through the evaluations
field on the
corresponding responses.
All the usual SearchEvaluationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
SearchEvaluationsPager
SearchEvaluationsPager(
method: typing.Callable[
[...],
google.cloud.datalabeling_v1beta1.types.data_labeling_service.SearchEvaluationsResponse,
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.SearchEvaluationsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.SearchEvaluationsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through search_evaluations
requests.
This class thinly wraps an initial
SearchEvaluationsResponse object, and
provides an __iter__
method to iterate through its
evaluations
field.
If there are more pages, the __iter__
method will make additional
SearchEvaluations
requests and continue to iterate
through the evaluations
field on the
corresponding responses.
All the usual SearchEvaluationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
SearchExampleComparisonsAsyncPager
SearchExampleComparisonsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.datalabeling_v1beta1.types.data_labeling_service.SearchExampleComparisonsResponse
],
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.SearchExampleComparisonsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.SearchExampleComparisonsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through search_example_comparisons
requests.
This class thinly wraps an initial
SearchExampleComparisonsResponse object, and
provides an __aiter__
method to iterate through its
example_comparisons
field.
If there are more pages, the __aiter__
method will make additional
SearchExampleComparisons
requests and continue to iterate
through the example_comparisons
field on the
corresponding responses.
All the usual SearchExampleComparisonsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
SearchExampleComparisonsPager
SearchExampleComparisonsPager(
method: typing.Callable[
[...],
google.cloud.datalabeling_v1beta1.types.data_labeling_service.SearchExampleComparisonsResponse,
],
request: google.cloud.datalabeling_v1beta1.types.data_labeling_service.SearchExampleComparisonsRequest,
response: google.cloud.datalabeling_v1beta1.types.data_labeling_service.SearchExampleComparisonsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)
A pager for iterating through search_example_comparisons
requests.
This class thinly wraps an initial
SearchExampleComparisonsResponse object, and
provides an __iter__
method to iterate through its
example_comparisons
field.
If there are more pages, the __iter__
method will make additional
SearchExampleComparisons
requests and continue to iterate
through the example_comparisons
field on the
corresponding responses.
All the usual SearchExampleComparisonsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.