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feat(aiplatform): update the api
#### aiplatform:v1 The following keys were deleted: - schemas.GoogleCloudAiplatformV1DatasetDistribution (Total Keys: 37) - schemas.GoogleCloudAiplatformV1DatasetStats (Total Keys: 23) - schemas.GoogleCloudAiplatformV1DistillationDataStats (Total Keys: 4) - schemas.GoogleCloudAiplatformV1ReinforcementLearningDataStats (Total Keys: 6) - schemas.GoogleCloudAiplatformV1TuningDataStats.properties.distillationDataStats.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1TuningDataStats.properties.reinforcementLearningDataStats.$ref (Total Keys: 1) The following keys were added: - resources.projects.resources.locations.resources.notebookExecutionJobs.resources.operations.methods.cancel (Total Keys: 11) - resources.projects.resources.locations.resources.notebookExecutionJobs.resources.operations.methods.delete (Total Keys: 11) - resources.projects.resources.locations.resources.notebookExecutionJobs.resources.operations.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.notebookExecutionJobs.resources.operations.methods.list (Total Keys: 18) - resources.projects.resources.locations.resources.notebookExecutionJobs.resources.operations.methods.wait (Total Keys: 14) - resources.projects.resources.locations.resources.notebookRuntimeTemplates.resources.operations.methods.cancel (Total Keys: 11) - resources.projects.resources.locations.resources.notebookRuntimeTemplates.resources.operations.methods.delete (Total Keys: 11) - resources.projects.resources.locations.resources.notebookRuntimeTemplates.resources.operations.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.notebookRuntimeTemplates.resources.operations.methods.list (Total Keys: 18) - resources.projects.resources.locations.resources.notebookRuntimeTemplates.resources.operations.methods.wait (Total Keys: 14) - resources.projects.resources.locations.resources.notebookRuntimes.resources.operations.methods.cancel (Total Keys: 11) - resources.projects.resources.locations.resources.notebookRuntimes.resources.operations.methods.delete (Total Keys: 11) - resources.projects.resources.locations.resources.notebookRuntimes.resources.operations.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.notebookRuntimes.resources.operations.methods.list (Total Keys: 18) - resources.projects.resources.locations.resources.notebookRuntimes.resources.operations.methods.wait (Total Keys: 14) - schemas.CloudAiLargeModelsVisionGenerateVideoResponse.properties.reportingMetrics.$ref (Total Keys: 1) - schemas.CloudAiLargeModelsVisionRaiInfo.properties.modelName.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1PipelineJob.properties.preflightValidations.type (Total Keys: 1) - schemas.IntelligenceCloudAutomlXpsMetricEntry (Total Keys: 14) - schemas.IntelligenceCloudAutomlXpsReportingMetrics (Total Keys: 7) #### aiplatform:v1beta1 The following keys were deleted: - schemas.GoogleCloudAiplatformV1beta1DatasetDistribution (Total Keys: 37) - schemas.GoogleCloudAiplatformV1beta1DatasetStats (Total Keys: 23) - schemas.GoogleCloudAiplatformV1beta1DistillationDataStats (Total Keys: 4) - schemas.GoogleCloudAiplatformV1beta1DistillationHyperParameters (Total Keys: 7) - schemas.GoogleCloudAiplatformV1beta1DistillationSpec (Total Keys: 9) - schemas.GoogleCloudAiplatformV1beta1HumanFeedbackConfig (Total Keys: 3) - schemas.GoogleCloudAiplatformV1beta1ReinforcementLearningDataStats (Total Keys: 6) - schemas.GoogleCloudAiplatformV1beta1ReinforcementLearningHyperParameters (Total Keys: 10) - schemas.GoogleCloudAiplatformV1beta1ReinforcementLearningSpec (Total Keys: 5) - schemas.GoogleCloudAiplatformV1beta1RewardModelTrainingConfig (Total Keys: 6) - schemas.GoogleCloudAiplatformV1beta1TuningDataStats.properties.distillationDataStats.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1TuningDataStats.properties.reinforcementLearningDataStats.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1TuningJob.properties.distillationSpec.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1TuningJob.properties.reinforcementLearningSpec.$ref (Total Keys: 1) The following keys were added: - resources.projects.resources.locations.resources.notebookExecutionJobs.resources.operations.methods.cancel (Total Keys: 11) - resources.projects.resources.locations.resources.notebookExecutionJobs.resources.operations.methods.delete (Total Keys: 11) - resources.projects.resources.locations.resources.notebookExecutionJobs.resources.operations.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.notebookExecutionJobs.resources.operations.methods.list (Total Keys: 18) - resources.projects.resources.locations.resources.notebookExecutionJobs.resources.operations.methods.wait (Total Keys: 14) - resources.projects.resources.locations.resources.notebookRuntimeTemplates.resources.operations.methods.cancel (Total Keys: 11) - resources.projects.resources.locations.resources.notebookRuntimeTemplates.resources.operations.methods.delete (Total Keys: 11) - resources.projects.resources.locations.resources.notebookRuntimeTemplates.resources.operations.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.notebookRuntimeTemplates.resources.operations.methods.list (Total Keys: 18) - resources.projects.resources.locations.resources.notebookRuntimeTemplates.resources.operations.methods.wait (Total Keys: 14) - resources.projects.resources.locations.resources.notebookRuntimes.resources.operations.methods.cancel (Total Keys: 11) - resources.projects.resources.locations.resources.notebookRuntimes.resources.operations.methods.delete (Total Keys: 11) - resources.projects.resources.locations.resources.notebookRuntimes.resources.operations.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.notebookRuntimes.resources.operations.methods.list (Total Keys: 18) - resources.projects.resources.locations.resources.notebookRuntimes.resources.operations.methods.wait (Total Keys: 14) - schemas.CloudAiLargeModelsVisionGenerateVideoResponse.properties.reportingMetrics.$ref (Total Keys: 1) - schemas.CloudAiLargeModelsVisionRaiInfo.properties.modelName.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1CachedContent.properties.displayName.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1RagQuery.properties.vectorDistanceThreshold (Total Keys: 2) - schemas.IntelligenceCloudAutomlXpsMetricEntry (Total Keys: 14) - schemas.IntelligenceCloudAutomlXpsReportingMetrics (Total Keys: 7)
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‎docs/dyn/aiplatform_v1.projects.locations.html

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</p>
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<p class="firstline">Returns the nasJobs Resource.</p>
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<p class="toc_element">
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<code><a href="aiplatform_v1.projects.locations.notebookExecutionJobs.html">notebookExecutionJobs()</a></code>
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</p>
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<p class="firstline">Returns the notebookExecutionJobs Resource.</p>
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<p class="toc_element">
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<code><a href="aiplatform_v1.projects.locations.notebookRuntimeTemplates.html">notebookRuntimeTemplates()</a></code>
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</p>

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<h1><a href="aiplatform_v1.html">Vertex AI API</a> . <a href="aiplatform_v1.projects.html">projects</a> . <a href="aiplatform_v1.projects.locations.html">locations</a> . <a href="aiplatform_v1.projects.locations.notebookExecutionJobs.html">notebookExecutionJobs</a></h1>
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<h2>Instance Methods</h2>
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<p class="toc_element">
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<code><a href="aiplatform_v1.projects.locations.notebookExecutionJobs.operations.html">operations()</a></code>
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</p>
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<p class="firstline">Returns the operations Resource.</p>
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<p class="toc_element">
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<code><a href="#close">close()</a></code></p>
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<p class="firstline">Close httplib2 connections.</p>
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<h3>Method Details</h3>
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<div class="method">
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<code class="details" id="close">close()</code>
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<pre>Close httplib2 connections.</pre>
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</div>
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</body></html>

‎docs/dyn/aiplatform_v1.projects.locations.notebookExecutionJobs.operations.html

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‎docs/dyn/aiplatform_v1.projects.locations.notebookRuntimeTemplates.html

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<h1><a href="aiplatform_v1.html">Vertex AI API</a> . <a href="aiplatform_v1.projects.html">projects</a> . <a href="aiplatform_v1.projects.locations.html">locations</a> . <a href="aiplatform_v1.projects.locations.notebookRuntimeTemplates.html">notebookRuntimeTemplates</a></h1>
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<h2>Instance Methods</h2>
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<p class="toc_element">
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<code><a href="aiplatform_v1.projects.locations.notebookRuntimeTemplates.operations.html">operations()</a></code>
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</p>
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<p class="firstline">Returns the operations Resource.</p>
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<p class="toc_element">
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<code><a href="#close">close()</a></code></p>
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<p class="firstline">Close httplib2 connections.</p>

‎docs/dyn/aiplatform_v1.projects.locations.notebookRuntimeTemplates.operations.html

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‎docs/dyn/aiplatform_v1.projects.locations.notebookRuntimes.html

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<h1><a href="aiplatform_v1.html">Vertex AI API</a> . <a href="aiplatform_v1.projects.html">projects</a> . <a href="aiplatform_v1.projects.locations.html">locations</a> . <a href="aiplatform_v1.projects.locations.notebookRuntimes.html">notebookRuntimes</a></h1>
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<h2>Instance Methods</h2>
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<p class="toc_element">
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<code><a href="aiplatform_v1.projects.locations.notebookRuntimes.operations.html">operations()</a></code>
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</p>
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<p class="firstline">Returns the operations Resource.</p>
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<code><a href="#assign">assign(parent, body=None, x__xgafv=None)</a></code></p>
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<p class="firstline">Assigns a NotebookRuntime to a user for a particular Notebook file. This method will either returns an existing assignment or generates a new one.</p>

‎docs/dyn/aiplatform_v1.projects.locations.notebookRuntimes.operations.html

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‎docs/dyn/aiplatform_v1.projects.locations.pipelineJobs.html

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&quot;pipelineSpec&quot;: { # The spec of the pipeline.
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&quot;a_key&quot;: &quot;&quot;, # Properties of the object.
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&quot;preflightValidations&quot;: True or False, # Optional. Whether to do component level validations before job creation.
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&quot;reservedIpRanges&quot;: [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job&#x27;s workload. If set, we will deploy the Pipeline Job&#x27;s workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
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&quot;A String&quot;,
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&quot;pipelineSpec&quot;: { # The spec of the pipeline.
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&quot;a_key&quot;: &quot;&quot;, # Properties of the object.
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&quot;preflightValidations&quot;: True or False, # Optional. Whether to do component level validations before job creation.
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&quot;reservedIpRanges&quot;: [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job&#x27;s workload. If set, we will deploy the Pipeline Job&#x27;s workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
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&quot;pipelineSpec&quot;: { # The spec of the pipeline.
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&quot;preflightValidations&quot;: True or False, # Optional. Whether to do component level validations before job creation.
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&quot;reservedIpRanges&quot;: [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job&#x27;s workload. If set, we will deploy the Pipeline Job&#x27;s workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
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&quot;preflightValidations&quot;: True or False, # Optional. Whether to do component level validations before job creation.
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&quot;reservedIpRanges&quot;: [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job&#x27;s workload. If set, we will deploy the Pipeline Job&#x27;s workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
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‎docs/dyn/aiplatform_v1.projects.locations.schedules.html

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&quot;preflightValidations&quot;: True or False, # Optional. Whether to do component level validations before job creation.
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&quot;reservedIpRanges&quot;: [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job&#x27;s workload. If set, we will deploy the Pipeline Job&#x27;s workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
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&quot;preflightValidations&quot;: True or False, # Optional. Whether to do component level validations before job creation.
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&quot;reservedIpRanges&quot;: [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job&#x27;s workload. If set, we will deploy the Pipeline Job&#x27;s workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
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&quot;reservedIpRanges&quot;: [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job&#x27;s workload. If set, we will deploy the Pipeline Job&#x27;s workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
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&quot;reservedIpRanges&quot;: [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job&#x27;s workload. If set, we will deploy the Pipeline Job&#x27;s workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
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&quot;reservedIpRanges&quot;: [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job&#x27;s workload. If set, we will deploy the Pipeline Job&#x27;s workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
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&quot;reservedIpRanges&quot;: [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job&#x27;s workload. If set, we will deploy the Pipeline Job&#x27;s workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
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&quot;A String&quot;,
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