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chore: use gapic-generator-python 0.63.2 (#306)
* chore: use gapic-generator-python 0.63.2 docs: add generated snippets PiperOrigin-RevId: 427792504 Source-Link: googleapis/googleapis@55b9e1e Source-Link: https://github.com/googleapis/googleapis-gen/commit/bf4e86b753f42cb0edb1fd51fbe840d7da0a1cde Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiYmY0ZTg2Yjc1M2Y0MmNiMGVkYjFmZDUxZmJlODQwZDdkYTBhMWNkZSJ9 * 🦉 Updates from OwlBot 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/vision_v1/services/image_annotator/async_client.py‎

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@@ -221,6 +221,25 @@ async def batch_annotate_images(
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r"""Run image detection and annotation for a batch of
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images.
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.. code-block::
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from google.cloud import vision_v1
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def sample_batch_annotate_images():
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# Create a client
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client = vision_v1.ImageAnnotatorClient()
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# Initialize request argument(s)
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request = vision_v1.BatchAnnotateImagesRequest(
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)
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# Make the request
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response = client.batch_annotate_images(request=request)
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# Handle the response
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print(response)
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Args:
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request (Union[google.cloud.vision_v1.types.BatchAnnotateImagesRequest, dict]):
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The request object. Multiple image annotation requests
@@ -303,6 +322,25 @@ async def batch_annotate_files(
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perform detection and annotation for each image
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extracted.
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.. code-block::
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from google.cloud import vision_v1
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def sample_batch_annotate_files():
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# Create a client
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client = vision_v1.ImageAnnotatorClient()
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# Initialize request argument(s)
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request = vision_v1.BatchAnnotateFilesRequest(
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)
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# Make the request
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response = client.batch_annotate_files(request=request)
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# Handle the response
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print(response)
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Args:
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request (Union[google.cloud.vision_v1.types.BatchAnnotateFilesRequest, dict]):
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The request object. A list of requests to annotate files
@@ -390,6 +428,29 @@ async def async_batch_annotate_images(
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in customer GCS bucket, each json file containing
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BatchAnnotateImagesResponse proto.
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.. code-block::
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from google.cloud import vision_v1
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def sample_async_batch_annotate_images():
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# Create a client
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client = vision_v1.ImageAnnotatorClient()
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# Initialize request argument(s)
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request = vision_v1.AsyncBatchAnnotateImagesRequest(
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)
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# Make the request
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operation = client.async_batch_annotate_images(request=request)
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print("Waiting for operation to complete...")
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response = operation.result()
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# Handle the response
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print(response)
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Args:
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request (Union[google.cloud.vision_v1.types.AsyncBatchAnnotateImagesRequest, dict]):
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The request object. Request for async image annotation
@@ -491,6 +552,29 @@ async def async_batch_annotate_files(
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(metadata). ``Operation.response`` contains
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``AsyncBatchAnnotateFilesResponse`` (results).
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.. code-block::
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from google.cloud import vision_v1
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def sample_async_batch_annotate_files():
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# Create a client
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client = vision_v1.ImageAnnotatorClient()
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# Initialize request argument(s)
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request = vision_v1.AsyncBatchAnnotateFilesRequest(
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)
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# Make the request
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operation = client.async_batch_annotate_files(request=request)
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print("Waiting for operation to complete...")
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response = operation.result()
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# Handle the response
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print(response)
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Args:
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request (Union[google.cloud.vision_v1.types.AsyncBatchAnnotateFilesRequest, dict]):
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The request object. Multiple async file annotation

‎google/cloud/vision_v1/services/image_annotator/client.py‎

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Original file line numberDiff line numberDiff line change
@@ -432,6 +432,26 @@ def batch_annotate_images(
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r"""Run image detection and annotation for a batch of
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images.
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.. code-block::
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from google.cloud import vision_v1
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def sample_batch_annotate_images():
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# Create a client
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client = vision_v1.ImageAnnotatorClient()
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# Initialize request argument(s)
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request = vision_v1.BatchAnnotateImagesRequest(
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)
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# Make the request
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response = client.batch_annotate_images(request=request)
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# Handle the response
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print(response)
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Args:
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request (Union[google.cloud.vision_v1.types.BatchAnnotateImagesRequest, dict]):
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The request object. Multiple image annotation requests
@@ -507,6 +527,26 @@ def batch_annotate_files(
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perform detection and annotation for each image
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extracted.
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.. code-block::
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from google.cloud import vision_v1
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def sample_batch_annotate_files():
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# Create a client
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client = vision_v1.ImageAnnotatorClient()
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# Initialize request argument(s)
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request = vision_v1.BatchAnnotateFilesRequest(
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)
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# Make the request
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response = client.batch_annotate_files(request=request)
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# Handle the response
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print(response)
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Args:
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request (Union[google.cloud.vision_v1.types.BatchAnnotateFilesRequest, dict]):
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The request object. A list of requests to annotate files
@@ -587,6 +627,30 @@ def async_batch_annotate_images(
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in customer GCS bucket, each json file containing
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BatchAnnotateImagesResponse proto.
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.. code-block::
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from google.cloud import vision_v1
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def sample_async_batch_annotate_images():
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# Create a client
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client = vision_v1.ImageAnnotatorClient()
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# Initialize request argument(s)
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request = vision_v1.AsyncBatchAnnotateImagesRequest(
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)
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# Make the request
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operation = client.async_batch_annotate_images(request=request)
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print("Waiting for operation to complete...")
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response = operation.result()
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# Handle the response
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print(response)
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Args:
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request (Union[google.cloud.vision_v1.types.AsyncBatchAnnotateImagesRequest, dict]):
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The request object. Request for async image annotation
@@ -683,6 +747,30 @@ def async_batch_annotate_files(
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(metadata). ``Operation.response`` contains
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``AsyncBatchAnnotateFilesResponse`` (results).
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.. code-block::
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from google.cloud import vision_v1
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def sample_async_batch_annotate_files():
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# Create a client
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client = vision_v1.ImageAnnotatorClient()
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# Initialize request argument(s)
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request = vision_v1.AsyncBatchAnnotateFilesRequest(
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)
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# Make the request
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operation = client.async_batch_annotate_files(request=request)
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print("Waiting for operation to complete...")
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response = operation.result()
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# Handle the response
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print(response)
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Args:
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request (Union[google.cloud.vision_v1.types.AsyncBatchAnnotateFilesRequest, dict]):
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The request object. Multiple async file annotation

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