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chore: remove description_override (batch 1 - to google-cloud-apphub) (#16885)
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librarian.yaml

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@@ -63,7 +63,6 @@ libraries:
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library_type: INTEGRATION
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- name: db-dtypes
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version: 1.5.1
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description_override: Pandas extension data types for data from SQL systems such as BigQuery.
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python:
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library_type: INTEGRATION
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- name: django-google-spanner
@@ -84,23 +83,18 @@ libraries:
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version: 0.9.0
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apis:
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- path: google/ads/admanager/v1
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description_override: Manage your Ad Manager inventory, run reports and more.
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python:
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default_version: v1
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- name: google-ads-datamanager
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version: 0.8.0
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apis:
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- path: google/ads/datamanager/v1
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description_override: |-
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A unified ingestion API for data partners, agencies and advertisers to
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connect first-party data across Google advertising products.
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python:
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default_version: v1
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- name: google-ads-marketingplatform-admin
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version: 0.5.0
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apis:
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- path: google/marketingplatform/admin/v1alpha
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description_override: The Google Marketing Platform Admin API allows for programmatic access to the Google Marketing Platform configuration data. You can use the Google Marketing Platform Admin API to manage links between your Google Marketing Platform organization and Google Analytics accounts, and to set the service level of your GA4 properties.
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python:
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opt_args_by_api:
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google/marketingplatform/admin/v1alpha:
@@ -115,7 +109,6 @@ libraries:
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- path: google/ai/generativelanguage/v1beta2
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- path: google/ai/generativelanguage/v1beta
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- path: google/ai/generativelanguage/v1alpha
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description_override: The Gemini API allows developers to build generative AI applications using Gemini models. Gemini is our most capable model, built from the ground up to be multimodal. It can generalize and seamlessly understand, operate across, and combine different types of information including language, images, audio, video, and code. You can use the Gemini API for use cases like reasoning across text and images, content generation, dialogue agents, summarization and classification systems, and more.
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python:
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metadata_name_override: generativelanguage
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default_version: v1beta
@@ -124,7 +117,6 @@ libraries:
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apis:
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- path: google/analytics/admin/v1beta
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- path: google/analytics/admin/v1alpha
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description_override: allows you to manage Google Analytics accounts and properties.
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python:
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opt_args_by_api:
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google/analytics/admin/v1alpha:
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apis:
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- path: google/analytics/data/v1beta
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- path: google/analytics/data/v1alpha
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description_override: provides programmatic methods to access report data in Google Analytics App+Web properties.
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metadata_name_override: analyticsdata
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default_version: v1beta
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version: 0.6.0
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apis:
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- path: google/apps/card/v1
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description_override: Google Apps Card Protos
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keep:
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- tests/unit/gapic/card_v1/test_card.py
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python:
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apis:
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- path: google/apps/events/subscriptions/v1
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- path: google/apps/events/subscriptions/v1beta
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description_override: The Google Workspace Events API lets you subscribe to events and manage change notifications across Google Workspace applications.
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python:
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default_version: v1
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- name: google-apps-meet
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version: 0.4.0
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apis:
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- path: google/apps/meet/v2
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- path: google/apps/meet/v2beta
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description_override: Create and manage meetings in Google Meet.
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python:
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default_version: v2
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- name: google-apps-script-type
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version: 0.14.0
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apis:
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- path: google/area120/tables/v1alpha1
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description_override: provides programmatic methods to the Area 120 Tables API.
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metadata_name_override: area120tables
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default_version: v1alpha1
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version: 1.19.0
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apis:
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- path: google/cloud/accessapproval/v1
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description_override: enables controlling access to your organization's data by Google personnel.
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metadata_name_override: accessapproval
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default_version: v1
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version: 0.6.0
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apis:
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- path: google/cloud/advisorynotifications/v1
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description_override: Advisory Notifications provides well-targeted, timely, and compliant communications about critical security and privacy events in the Google Cloud console and allows you to securely investigate the event, take action, and get support.
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metadata_name_override: advisorynotifications
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default_version: v1
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- path: google/cloud/alloydb/connectors/v1
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- path: google/cloud/alloydb/connectors/v1beta
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- path: google/cloud/alloydb/connectors/v1alpha
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description_override: provides enterprise-grade performance and availability while maintaining 100% compatibility with open-source PostgreSQL.
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keep:
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- tests/unit/gapic/connectors_v1/test_connectors.py
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python:
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version: 1.15.0
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apis:
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- path: google/cloud/apigateway/v1
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description_override: enables you to provide secure access to your backend services through a well-defined REST API that is consistent across all of your services, regardless of the service implementation. Clients consume your REST APIS to implement standalone apps for a mobile device or tablet, through apps running in a browser, or through any other type of app that can make a request to an HTTP endpoint.
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metadata_name_override: apigateway
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default_version: v1
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version: 1.15.0
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apis:
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- path: google/cloud/apigeeconnect/v1
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description_override: allows the Apigee hybrid management plane to connect securely to the MART service in the runtime plane without requiring you to expose the MART endpoint on the internet.
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metadata_name_override: apigeeconnect
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default_version: v1
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- name: google-cloud-apigee-registry
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version: 0.9.0
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apis:
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- path: google/cloud/apigeeregistry/v1
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description_override: allows teams to upload and share machine-readable descriptions of APIs that are in use and in development.
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opt_args_by_api:
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google/cloud/apigeeregistry/v1:
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version: 0.6.0
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apis:
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- path: google/cloud/apihub/v1
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description_override: API hub lets you consolidate and organize information about all of the APIs of interest to your organization. API hub lets you capture critical information about APIs that allows developers to discover and evaluate them easily and leverage the work of other teams wherever possible. API platform teams can use API hub to have visibility into and manage their portfolio of APIs.
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default_version: v1
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- name: google-cloud-apiregistry
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version: 1.17.0
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apis:
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- path: google/appengine/v1
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description_override: allows you to manage your App Engine applications.
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opt_args_by_api:
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google/appengine/v1:
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version: 0.4.0
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apis:
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- path: google/cloud/apphub/v1
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description_override: 'null '
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default_version: v1
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- name: google-cloud-appoptimize

packages/google-ads-marketingplatform-admin/.repo-metadata.json

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{
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"api_description": "The Google Marketing Platform Admin API allows for programmatic access to the Google Marketing Platform configuration data. You can use the Google Marketing Platform Admin API to manage links between your Google Marketing Platform organization and Google Analytics accounts, and to set the service level of your GA4 properties.",
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"api_description": "The Google Marketing Platform Admin API allows for programmatic access to\nthe Google Marketing Platform configuration data. You can use the Google\nMarketing Platform Admin API to manage links between your Google Marketing\nPlatform organization and Google Analytics accounts, and to set the\nservice level of your GA4 properties.",
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"api_id": "marketingplatformadmin.googleapis.com",
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"api_shortname": "marketingplatformadminapi",
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"client_documentation": "https://googleapis.dev/python/google-ads-marketingplatform-admin/latest",

packages/google-ads-marketingplatform-admin/README.rst

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|preview| |pypi| |versions|
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`Google Marketing Platform Admin`_: The Google Marketing Platform Admin API allows for programmatic access to the Google Marketing Platform configuration data. You can use the Google Marketing Platform Admin API to manage links between your Google Marketing Platform organization and Google Analytics accounts, and to set the service level of your GA4 properties.
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`Google Marketing Platform Admin`_: The Google Marketing Platform Admin API allows for programmatic access to
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the Google Marketing Platform configuration data. You can use the Google
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Marketing Platform Admin API to manage links between your Google Marketing
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Platform organization and Google Analytics accounts, and to set the
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service level of your GA4 properties.
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- `Client Library Documentation`_
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- `Product Documentation`_

packages/google-ads-marketingplatform-admin/docs/README.rst

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|preview| |pypi| |versions|
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`Google Marketing Platform Admin`_: The Google Marketing Platform Admin API allows for programmatic access to the Google Marketing Platform configuration data. You can use the Google Marketing Platform Admin API to manage links between your Google Marketing Platform organization and Google Analytics accounts, and to set the service level of your GA4 properties.
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`Google Marketing Platform Admin`_: The Google Marketing Platform Admin API allows for programmatic access to
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the Google Marketing Platform configuration data. You can use the Google
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Marketing Platform Admin API to manage links between your Google Marketing
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Platform organization and Google Analytics accounts, and to set the
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service level of your GA4 properties.
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- `Client Library Documentation`_
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- `Product Documentation`_

packages/google-ai-generativelanguage/.repo-metadata.json

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{
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"api_description": "The Gemini API allows developers to build generative AI applications using Gemini models. Gemini is our most capable model, built from the ground up to be multimodal. It can generalize and seamlessly understand, operate across, and combine different types of information including language, images, audio, video, and code. You can use the Gemini API for use cases like reasoning across text and images, content generation, dialogue agents, summarization and classification systems, and more.",
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"api_description": "The Gemini API allows developers to build generative AI applications using\nGemini models. Gemini is our most capable model, built from the ground up\nto be multimodal. It can generalize and seamlessly understand, operate\nacross, and combine different types of information including language,\nimages, audio, video, and code. You can use the Gemini API for use cases\nlike reasoning across text and images, content generation, dialogue\nagents, summarization and classification systems, and more.",
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"api_id": "generativelanguage.googleapis.com",
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"api_shortname": "generativelanguage",
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"client_documentation": "https://googleapis.dev/python/generativelanguage/latest",

packages/google-ai-generativelanguage/README.rst

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|preview| |pypi| |versions|
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`Generative Language`_: The Gemini API allows developers to build generative AI applications using Gemini models. Gemini is our most capable model, built from the ground up to be multimodal. It can generalize and seamlessly understand, operate across, and combine different types of information including language, images, audio, video, and code. You can use the Gemini API for use cases like reasoning across text and images, content generation, dialogue agents, summarization and classification systems, and more.
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`Generative Language`_: The Gemini API allows developers to build generative AI applications using
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Gemini models. Gemini is our most capable model, built from the ground up
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to be multimodal. It can generalize and seamlessly understand, operate
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across, and combine different types of information including language,
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images, audio, video, and code. You can use the Gemini API for use cases
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like reasoning across text and images, content generation, dialogue
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agents, summarization and classification systems, and more.
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- `Client Library Documentation`_
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- `Product Documentation`_

packages/google-ai-generativelanguage/docs/README.rst

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|preview| |pypi| |versions|
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`Generative Language`_: The Gemini API allows developers to build generative AI applications using Gemini models. Gemini is our most capable model, built from the ground up to be multimodal. It can generalize and seamlessly understand, operate across, and combine different types of information including language, images, audio, video, and code. You can use the Gemini API for use cases like reasoning across text and images, content generation, dialogue agents, summarization and classification systems, and more.
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`Generative Language`_: The Gemini API allows developers to build generative AI applications using
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Gemini models. Gemini is our most capable model, built from the ground up
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to be multimodal. It can generalize and seamlessly understand, operate
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across, and combine different types of information including language,
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images, audio, video, and code. You can use the Gemini API for use cases
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like reasoning across text and images, content generation, dialogue
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agents, summarization and classification systems, and more.
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- `Client Library Documentation`_
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- `Product Documentation`_

packages/google-analytics-admin/.repo-metadata.json

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{
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"api_description": "allows you to manage Google Analytics accounts and properties.",
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"api_description": "Manage properties in Google Analytics. Warning: Creating multiple Customer\nApplications, Accounts, or Projects to simulate or act as a single\nCustomer Application, Account, or Project (respectively) or to circumvent\nService-specific usage limits or quotas is a direct violation of Google\nCloud Platform Terms of Service as well as Google APIs Terms of Service.\nThese actions can result in immediate termination of your GCP project(s)\nwithout any warning.",
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"api_id": "analyticsadmin.googleapis.com",
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"api_shortname": "analyticsadmin",
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"client_documentation": "https://googleapis.dev/python/analyticsadmin/latest",

packages/google-analytics-admin/README.rst

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`Google Analytics Admin`_: allows you to manage Google Analytics accounts and properties.
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`Google Analytics Admin`_: Manage properties in Google Analytics. Warning: Creating multiple Customer
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Applications, Accounts, or Projects to simulate or act as a single
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Customer Application, Account, or Project (respectively) or to circumvent
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Service-specific usage limits or quotas is a direct violation of Google
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Cloud Platform Terms of Service as well as Google APIs Terms of Service.
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These actions can result in immediate termination of your GCP project(s)
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without any warning.
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- `Client Library Documentation`_
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- `Product Documentation`_

packages/google-analytics-admin/docs/README.rst

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|preview| |pypi| |versions|
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`Google Analytics Admin`_: allows you to manage Google Analytics accounts and properties.
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`Google Analytics Admin`_: Manage properties in Google Analytics. Warning: Creating multiple Customer
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Applications, Accounts, or Projects to simulate or act as a single
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Customer Application, Account, or Project (respectively) or to circumvent
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Service-specific usage limits or quotas is a direct violation of Google
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Cloud Platform Terms of Service as well as Google APIs Terms of Service.
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These actions can result in immediate termination of your GCP project(s)
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without any warning.
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- `Client Library Documentation`_
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- `Product Documentation`_

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