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chore: use gapic-generator-python 0.63.2 (#194)
* chore: use gapic-generator-python 0.63.2 docs: add generated snippets PiperOrigin-RevId: 427792504 Source-Link: googleapis/googleapis@55b9e1e Source-Link: googleapis/googleapis-gen@bf4e86b 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> Co-authored-by: Bu Sun Kim <8822365+busunkim96@users.noreply.github.com>
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‎datalabeling/generated_samples/datalabeling_generated_datalabeling_v1beta1_data_labeling_service_create_annotation_spec_set_async.py‎

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# -*- coding: utf-8 -*-
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# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Generated code. DO NOT EDIT!
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#
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# Snippet for CreateAnnotationSpecSet
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# NOTE: This snippet has been automatically generated for illustrative purposes only.
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# It may require modifications to work in your environment.
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# To install the latest published package dependency, execute the following:
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# python3 -m pip install google-cloud-datalabeling
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# [START datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateAnnotationSpecSet_async]
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from google.cloud import datalabeling_v1beta1
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async def sample_create_annotation_spec_set():
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# Create a client
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client = datalabeling_v1beta1.DataLabelingServiceAsyncClient()
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# Initialize request argument(s)
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request = datalabeling_v1beta1.CreateAnnotationSpecSetRequest(
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parent="parent_value",
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)
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# Make the request
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response = await client.create_annotation_spec_set(request=request)
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# Handle the response
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print(response)
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# [END datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateAnnotationSpecSet_async]

‎datalabeling/generated_samples/datalabeling_generated_datalabeling_v1beta1_data_labeling_service_create_annotation_spec_set_sync.py‎

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# -*- coding: utf-8 -*-
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# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Generated code. DO NOT EDIT!
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#
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# Snippet for CreateAnnotationSpecSet
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# NOTE: This snippet has been automatically generated for illustrative purposes only.
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# It may require modifications to work in your environment.
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# To install the latest published package dependency, execute the following:
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# python3 -m pip install google-cloud-datalabeling
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# [START datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateAnnotationSpecSet_sync]
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from google.cloud import datalabeling_v1beta1
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def sample_create_annotation_spec_set():
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# Create a client
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client = datalabeling_v1beta1.DataLabelingServiceClient()
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# Initialize request argument(s)
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request = datalabeling_v1beta1.CreateAnnotationSpecSetRequest(
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parent="parent_value",
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)
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# Make the request
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response = client.create_annotation_spec_set(request=request)
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# Handle the response
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print(response)
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# [END datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateAnnotationSpecSet_sync]

‎datalabeling/generated_samples/datalabeling_generated_datalabeling_v1beta1_data_labeling_service_create_dataset_async.py‎

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# -*- coding: utf-8 -*-
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# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Generated code. DO NOT EDIT!
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#
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# Snippet for CreateDataset
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# NOTE: This snippet has been automatically generated for illustrative purposes only.
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# It may require modifications to work in your environment.
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# To install the latest published package dependency, execute the following:
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# python3 -m pip install google-cloud-datalabeling
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# [START datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateDataset_async]
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from google.cloud import datalabeling_v1beta1
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async def sample_create_dataset():
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# Create a client
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client = datalabeling_v1beta1.DataLabelingServiceAsyncClient()
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# Initialize request argument(s)
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request = datalabeling_v1beta1.CreateDatasetRequest(
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parent="parent_value",
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)
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# Make the request
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response = await client.create_dataset(request=request)
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# Handle the response
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print(response)
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# [END datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateDataset_async]

‎datalabeling/generated_samples/datalabeling_generated_datalabeling_v1beta1_data_labeling_service_create_dataset_sync.py‎

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# -*- coding: utf-8 -*-
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# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Generated code. DO NOT EDIT!
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#
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# Snippet for CreateDataset
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# NOTE: This snippet has been automatically generated for illustrative purposes only.
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# It may require modifications to work in your environment.
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# To install the latest published package dependency, execute the following:
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# python3 -m pip install google-cloud-datalabeling
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# [START datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateDataset_sync]
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from google.cloud import datalabeling_v1beta1
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def sample_create_dataset():
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# Create a client
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client = datalabeling_v1beta1.DataLabelingServiceClient()
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# Initialize request argument(s)
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request = datalabeling_v1beta1.CreateDatasetRequest(
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parent="parent_value",
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)
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# Make the request
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response = client.create_dataset(request=request)
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# Handle the response
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print(response)
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# [END datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateDataset_sync]

‎datalabeling/generated_samples/datalabeling_generated_datalabeling_v1beta1_data_labeling_service_create_evaluation_job_async.py‎

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# -*- coding: utf-8 -*-
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# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Generated code. DO NOT EDIT!
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#
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# Snippet for CreateEvaluationJob
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# NOTE: This snippet has been automatically generated for illustrative purposes only.
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# It may require modifications to work in your environment.
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# To install the latest published package dependency, execute the following:
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# python3 -m pip install google-cloud-datalabeling
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# [START datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateEvaluationJob_async]
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from google.cloud import datalabeling_v1beta1
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async def sample_create_evaluation_job():
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# Create a client
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client = datalabeling_v1beta1.DataLabelingServiceAsyncClient()
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# Initialize request argument(s)
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request = datalabeling_v1beta1.CreateEvaluationJobRequest(
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parent="parent_value",
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)
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# Make the request
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response = await client.create_evaluation_job(request=request)
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# Handle the response
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print(response)
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# [END datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateEvaluationJob_async]

‎datalabeling/generated_samples/datalabeling_generated_datalabeling_v1beta1_data_labeling_service_create_evaluation_job_sync.py‎

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# -*- coding: utf-8 -*-
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# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Generated code. DO NOT EDIT!
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#
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# Snippet for CreateEvaluationJob
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# NOTE: This snippet has been automatically generated for illustrative purposes only.
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# It may require modifications to work in your environment.
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# To install the latest published package dependency, execute the following:
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# python3 -m pip install google-cloud-datalabeling
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# [START datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateEvaluationJob_sync]
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from google.cloud import datalabeling_v1beta1
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def sample_create_evaluation_job():
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# Create a client
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client = datalabeling_v1beta1.DataLabelingServiceClient()
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# Initialize request argument(s)
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request = datalabeling_v1beta1.CreateEvaluationJobRequest(
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parent="parent_value",
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)
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# Make the request
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response = client.create_evaluation_job(request=request)
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# Handle the response
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print(response)
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# [END datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateEvaluationJob_sync]

‎datalabeling/generated_samples/datalabeling_generated_datalabeling_v1beta1_data_labeling_service_create_instruction_async.py‎

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# -*- coding: utf-8 -*-
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# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Generated code. DO NOT EDIT!
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#
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# Snippet for CreateInstruction
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# NOTE: This snippet has been automatically generated for illustrative purposes only.
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# It may require modifications to work in your environment.
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# To install the latest published package dependency, execute the following:
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# python3 -m pip install google-cloud-datalabeling
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# [START datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateInstruction_async]
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from google.cloud import datalabeling_v1beta1
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async def sample_create_instruction():
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# Create a client
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client = datalabeling_v1beta1.DataLabelingServiceAsyncClient()
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# Initialize request argument(s)
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request = datalabeling_v1beta1.CreateInstructionRequest(
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parent="parent_value",
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)
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# Make the request
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operation = client.create_instruction(request=request)
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print("Waiting for operation to complete...")
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response = await operation.result()
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# Handle the response
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print(response)
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# [END datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateInstruction_async]

‎datalabeling/generated_samples/datalabeling_generated_datalabeling_v1beta1_data_labeling_service_create_instruction_sync.py‎

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# -*- coding: utf-8 -*-
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# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Generated code. DO NOT EDIT!
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#
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# Snippet for CreateInstruction
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# NOTE: This snippet has been automatically generated for illustrative purposes only.
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# It may require modifications to work in your environment.
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# To install the latest published package dependency, execute the following:
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# python3 -m pip install google-cloud-datalabeling
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# [START datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateInstruction_sync]
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from google.cloud import datalabeling_v1beta1
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def sample_create_instruction():
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# Create a client
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client = datalabeling_v1beta1.DataLabelingServiceClient()
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# Initialize request argument(s)
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request = datalabeling_v1beta1.CreateInstructionRequest(
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parent="parent_value",
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)
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# Make the request
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operation = client.create_instruction(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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# [END datalabeling_generated_datalabeling_v1beta1_DataLabelingService_CreateInstruction_sync]

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