chore: Update discovery artifacts (#1486)
## Deleted keys were detected in the following stable discovery artifacts:
displayvideo v1 https://github.com/googleapis/google-api-python-client/commit/21f81c824089d0060dbd624f9755eea554464af2
sts v1 https://github.com/googleapis/google-api-python-client/commit/a8ebc2bef5d0ff6c449d65fcc9c0554c1f388985
## Deleted keys were detected in the following pre-stable discovery artifacts:
networkconnectivity v1alpha1 https://github.com/googleapis/google-api-python-client/commit/68588ad4744aa3c7a3a0afa12a1566f54ab3be94
## Discovery Artifact Change Summary:
feat(apigee): update the api https://github.com/googleapis/google-api-python-client/commit/41ae79b3554ffc9f1622e44757751009eeed76f8
feat(bigqueryreservation): update the api https://github.com/googleapis/google-api-python-client/commit/b0483aba20b17580b400283fb0073f07715bf254
feat(chat): update the api https://github.com/googleapis/google-api-python-client/commit/270312294f1cf89041825b0f31bfcf872fda9854
feat(cloudbuild): update the api https://github.com/googleapis/google-api-python-client/commit/30c122278e75a99b5b2a6ed330f317015134a23d
feat(cloudscheduler): update the api https://github.com/googleapis/google-api-python-client/commit/0405b1db79fe87305be25ba4f9389e94490040a7
feat(contactcenterinsights): update the api https://github.com/googleapis/google-api-python-client/commit/3abcf5334053f5612fd79163f2c433e5793ee782
feat(dialogflow): update the api https://github.com/googleapis/google-api-python-client/commit/c4935840495b1487d4be47b63f6c416113b9413f
feat(displayvideo): update the api https://github.com/googleapis/google-api-python-client/commit/21f81c824089d0060dbd624f9755eea554464af2
feat(monitoring): update the api https://github.com/googleapis/google-api-python-client/commit/d997b2c0d13203ac29b55c19858ef375380a5b7b
feat(networkconnectivity): update the api https://github.com/googleapis/google-api-python-client/commit/68588ad4744aa3c7a3a0afa12a1566f54ab3be94
feat(notebooks): update the api https://github.com/googleapis/google-api-python-client/commit/b975c34568f62bbf19f67f4731fe091aeeda8a75
feat(retail): update the api https://github.com/googleapis/google-api-python-client/commit/c2bcb7081a4f656b9e136ea38637cf262b60f387
feat(servicenetworking): update the api https://github.com/googleapis/google-api-python-client/commit/3bdc7b9d0854918ef65ccb4a3798d2f3f3b19d70
feat(sts): update the api https://github.com/googleapis/google-api-python-client/commit/a8ebc2bef5d0ff6c449d65fcc9c0554c1f388985
diff --git a/docs/dyn/notebooks_v1.projects.locations.executions.html b/docs/dyn/notebooks_v1.projects.locations.executions.html
index 5df743e..8f1dc62 100644
--- a/docs/dyn/notebooks_v1.projects.locations.executions.html
+++ b/docs/dyn/notebooks_v1.projects.locations.executions.html
@@ -117,7 +117,11 @@
"type": "A String", # Type of this accelerator.
},
"containerImageUri": "A String", # Container Image URI to a DLVM Example: 'gcr.io/deeplearning-platform-release/base-cu100' More examples can be found at: https://cloud.google.com/ai-platform/deep-learning-containers/docs/choosing-container
+ "dataprocParameters": { # Parameters used in Dataproc JobType executions. # Parameters used in Dataproc JobType executions.
+ "cluster": "A String", # URI for cluster used to run Dataproc execution. Format: 'projects/{PROJECT_ID}/regions/{REGION}/clusters/{CLUSTER_NAME}
+ },
"inputNotebookFile": "A String", # Path to the notebook file to execute. Must be in a Google Cloud Storage bucket. Format: gs://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb
+ "jobType": "A String", # The type of Job to be used on this execution.
"labels": { # Labels for execution. If execution is scheduled, a field included will be 'nbs-scheduled'. Otherwise, it is an immediate execution, and an included field will be 'nbs-immediate'. Use fields to efficiently index between various types of executions.
"a_key": "A String",
},
@@ -224,7 +228,11 @@
"type": "A String", # Type of this accelerator.
},
"containerImageUri": "A String", # Container Image URI to a DLVM Example: 'gcr.io/deeplearning-platform-release/base-cu100' More examples can be found at: https://cloud.google.com/ai-platform/deep-learning-containers/docs/choosing-container
+ "dataprocParameters": { # Parameters used in Dataproc JobType executions. # Parameters used in Dataproc JobType executions.
+ "cluster": "A String", # URI for cluster used to run Dataproc execution. Format: 'projects/{PROJECT_ID}/regions/{REGION}/clusters/{CLUSTER_NAME}
+ },
"inputNotebookFile": "A String", # Path to the notebook file to execute. Must be in a Google Cloud Storage bucket. Format: gs://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb
+ "jobType": "A String", # The type of Job to be used on this execution.
"labels": { # Labels for execution. If execution is scheduled, a field included will be 'nbs-scheduled'. Otherwise, it is an immediate execution, and an included field will be 'nbs-immediate'. Use fields to efficiently index between various types of executions.
"a_key": "A String",
},
@@ -273,7 +281,11 @@
"type": "A String", # Type of this accelerator.
},
"containerImageUri": "A String", # Container Image URI to a DLVM Example: 'gcr.io/deeplearning-platform-release/base-cu100' More examples can be found at: https://cloud.google.com/ai-platform/deep-learning-containers/docs/choosing-container
+ "dataprocParameters": { # Parameters used in Dataproc JobType executions. # Parameters used in Dataproc JobType executions.
+ "cluster": "A String", # URI for cluster used to run Dataproc execution. Format: 'projects/{PROJECT_ID}/regions/{REGION}/clusters/{CLUSTER_NAME}
+ },
"inputNotebookFile": "A String", # Path to the notebook file to execute. Must be in a Google Cloud Storage bucket. Format: gs://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb
+ "jobType": "A String", # The type of Job to be used on this execution.
"labels": { # Labels for execution. If execution is scheduled, a field included will be 'nbs-scheduled'. Otherwise, it is an immediate execution, and an included field will be 'nbs-immediate'. Use fields to efficiently index between various types of executions.
"a_key": "A String",
},