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docs: Minor formatting (#506)
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* 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: googleapis/googleapis-gen@280264c
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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gcf-owl-bot[bot] and gcf-owl-bot[bot] authored Sep 11, 2023
1 parent 9314817 commit 7ec4c47
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Showing 9 changed files with 16 additions and 12 deletions.
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Expand Up @@ -105,6 +105,7 @@ class Dataset(proto.Message):
underscores and dashes. International characters
are allowed. Label values are optional. Label
keys must start with a letter.
See https://goo.gl/xmQnxf for more information
on and examples of labels.
"""
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Expand Up @@ -1108,6 +1108,7 @@ class DocumentInputConfig(proto.Message):
The Google Cloud Storage location of the
document file. Only a single path should be
given.
Max supported size: 512MB.
Supported extensions: .PDF.
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Expand Up @@ -104,6 +104,7 @@ class Model(proto.Message):
underscores and dashes. International characters
are allowed. Label values are optional. Label
keys must start with a letter.
See https://goo.gl/xmQnxf for more information
on and examples of labels.
"""
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Expand Up @@ -232,8 +232,8 @@ class ExportDataOutputInfo(proto.Message):
This field is a member of `oneof`_ ``output_location``.
bigquery_output_dataset (str):
The path of the BigQuery dataset created, in
bq://projectId.bqDatasetId
format, into which the exported data is written.
bq://projectId.bqDatasetId format, into which
the exported data is written.
This field is a member of `oneof`_ ``output_location``.
"""
Expand Down Expand Up @@ -289,9 +289,8 @@ class BatchPredictOutputInfo(proto.Message):
This field is a member of `oneof`_ ``output_location``.
bigquery_output_dataset (str):
The path of the BigQuery dataset created, in
bq://projectId.bqDatasetId
format, into which the prediction output is
written.
bq://projectId.bqDatasetId format, into which
the prediction output is written.
This field is a member of `oneof`_ ``output_location``.
"""
Expand Down Expand Up @@ -370,9 +369,9 @@ class ExportEvaluatedExamplesOutputInfo(proto.Message):
Attributes:
bigquery_output_dataset (str):
The path of the BigQuery dataset created, in
bq://projectId.bqDatasetId
format, into which the output of export
evaluated examples is written.
bq://projectId.bqDatasetId format, into which
the output of export evaluated examples is
written.
"""

bigquery_output_dataset: str = proto.Field(
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Expand Up @@ -227,13 +227,15 @@ class TablesModelMetadata(proto.Message):
Required. The train budget of creating this
model, expressed in milli node hours i.e. 1,000
value in this field means 1 node hour.
The training cost of the model will not exceed
this budget. The final cost will be attempted to
be close to the budget, though may end up being
(even) noticeably smaller - at the backend's
discretion. This especially may happen when
further model training ceases to provide any
improvements.
If the budget is set to a value known to be
insufficient to train a model for the given
dataset, the training won't be attempted and
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Expand Up @@ -68,7 +68,7 @@
from google.cloud.automl_v1.types import text_extraction
from google.cloud.automl_v1.types import text_sentiment
from google.cloud.automl_v1.types import translation
from google.longrunning import operations_pb2
from google.longrunning import operations_pb2 # type: ignore
from google.oauth2 import service_account
from google.protobuf import empty_pb2 # type: ignore
from google.protobuf import field_mask_pb2 # type: ignore
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Expand Up @@ -60,7 +60,7 @@
from google.cloud.automl_v1.types import operations
from google.cloud.automl_v1.types import prediction_service
from google.cloud.automl_v1.types import text_segment
from google.longrunning import operations_pb2
from google.longrunning import operations_pb2 # type: ignore
from google.oauth2 import service_account
import google.auth

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Expand Up @@ -77,7 +77,7 @@
from google.cloud.automl_v1beta1.types import text_sentiment
from google.cloud.automl_v1beta1.types import translation
from google.cloud.automl_v1beta1.types import video
from google.longrunning import operations_pb2
from google.longrunning import operations_pb2 # type: ignore
from google.oauth2 import service_account
from google.protobuf import empty_pb2 # type: ignore
from google.protobuf import field_mask_pb2 # type: ignore
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Expand Up @@ -62,7 +62,7 @@
from google.cloud.automl_v1beta1.types import operations
from google.cloud.automl_v1beta1.types import prediction_service
from google.cloud.automl_v1beta1.types import text_segment
from google.longrunning import operations_pb2
from google.longrunning import operations_pb2 # type: ignore
from google.oauth2 import service_account
from google.protobuf import struct_pb2 # type: ignore
import google.auth
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