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This repository was archived by the owner on Dec 31, 2023. It is now read-only.

Commit e146232

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gcf-owl-bot[bot]gcf-owl-bot[bot]
authored
docs: Minor formatting (#506)
* docs: Minor formatting chore: Update gapic-generator-python to v1.11.5 build: Update rules_python to 0.24.0 PiperOrigin-RevId: 563436317 Source-Link: googleapis/googleapis@42fd37b Source-Link: https://github.com/googleapis/googleapis-gen/commit/280264ca02fb9316b4237a96d0af1a2343a81a56 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiMjgwMjY0Y2EwMmZiOTMxNmI0MjM3YTk2ZDBhZjFhMjM0M2E4MWE1NiJ9 * 🦉 Updates from OwlBot post-processor See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md --------- Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
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‎google/cloud/automl_v1/types/dataset.py

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@@ -105,6 +105,7 @@ class Dataset(proto.Message):
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underscores and dashes. International characters
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are allowed. Label values are optional. Label
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keys must start with a letter.
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See https://goo.gl/xmQnxf for more information
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on and examples of labels.
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"""

‎google/cloud/automl_v1/types/io.py

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The Google Cloud Storage location of the
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document file. Only a single path should be
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given.
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Max supported size: 512MB.
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Supported extensions: .PDF.

‎google/cloud/automl_v1/types/model.py

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underscores and dashes. International characters
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are allowed. Label values are optional. Label
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keys must start with a letter.
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See https://goo.gl/xmQnxf for more information
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on and examples of labels.
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"""

‎google/cloud/automl_v1beta1/types/operations.py

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@@ -232,8 +232,8 @@ class ExportDataOutputInfo(proto.Message):
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This field is a member of `oneof`_ ``output_location``.
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bigquery_output_dataset (str):
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The path of the BigQuery dataset created, in
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bq://projectId.bqDatasetId
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format, into which the exported data is written.
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bq://projectId.bqDatasetId format, into which
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the exported data is written.
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This field is a member of `oneof`_ ``output_location``.
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"""
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This field is a member of `oneof`_ ``output_location``.
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bigquery_output_dataset (str):
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The path of the BigQuery dataset created, in
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bq://projectId.bqDatasetId
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format, into which the prediction output is
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written.
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bq://projectId.bqDatasetId format, into which
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the prediction output is written.
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This field is a member of `oneof`_ ``output_location``.
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"""
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Attributes:
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bigquery_output_dataset (str):
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The path of the BigQuery dataset created, in
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bq://projectId.bqDatasetId
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format, into which the output of export
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evaluated examples is written.
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bq://projectId.bqDatasetId format, into which
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the output of export evaluated examples is
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written.
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"""
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bigquery_output_dataset: str = proto.Field(

‎google/cloud/automl_v1beta1/types/tables.py

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Required. The train budget of creating this
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model, expressed in milli node hours i.e. 1,000
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value in this field means 1 node hour.
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The training cost of the model will not exceed
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this budget. The final cost will be attempted to
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be close to the budget, though may end up being
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(even) noticeably smaller - at the backend's
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discretion. This especially may happen when
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further model training ceases to provide any
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improvements.
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If the budget is set to a value known to be
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insufficient to train a model for the given
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dataset, the training won't be attempted and

‎tests/unit/gapic/automl_v1/test_auto_ml.py

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from google.cloud.automl_v1.types import text_extraction
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from google.cloud.automl_v1.types import text_sentiment
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from google.cloud.automl_v1.types import translation
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from google.longrunning import operations_pb2
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from google.longrunning import operations_pb2 # type: ignore
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from google.oauth2 import service_account
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from google.protobuf import empty_pb2 # type: ignore
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from google.protobuf import field_mask_pb2 # type: ignore

‎tests/unit/gapic/automl_v1/test_prediction_service.py

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from google.cloud.automl_v1.types import operations
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from google.cloud.automl_v1.types import prediction_service
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from google.cloud.automl_v1.types import text_segment
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from google.longrunning import operations_pb2
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from google.longrunning import operations_pb2 # type: ignore
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from google.oauth2 import service_account
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import google.auth
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‎tests/unit/gapic/automl_v1beta1/test_auto_ml.py

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from google.cloud.automl_v1beta1.types import text_sentiment
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from google.cloud.automl_v1beta1.types import translation
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from google.cloud.automl_v1beta1.types import video
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from google.longrunning import operations_pb2
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from google.longrunning import operations_pb2 # type: ignore
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from google.oauth2 import service_account
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from google.protobuf import empty_pb2 # type: ignore
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from google.protobuf import field_mask_pb2 # type: ignore

‎tests/unit/gapic/automl_v1beta1/test_prediction_service.py

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from google.cloud.automl_v1beta1.types import operations
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from google.cloud.automl_v1beta1.types import prediction_service
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from google.cloud.automl_v1beta1.types import text_segment
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from google.longrunning import operations_pb2
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from google.longrunning import operations_pb2 # type: ignore
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from google.oauth2 import service_account
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from google.protobuf import struct_pb2 # type: ignore
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import google.auth

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