chore: Update discovery artifacts (#2458)

## Deleted keys were detected in the following stable discovery artifacts:
aiplatform v1 https://togithub.com/googleapis/google-api-python-client/commit/e27f99e096a4103d6af996a9256e716be555d508
dialogflow v2 https://togithub.com/googleapis/google-api-python-client/commit/e8920a15d2af3bcb1b32a4945ce3319da6979b21
discoveryengine v1 https://togithub.com/googleapis/google-api-python-client/commit/63bef2d65e6fddd72ff9867f5d95daa309513c99

## Deleted keys were detected in the following pre-stable discovery artifacts:
aiplatform v1beta1 https://togithub.com/googleapis/google-api-python-client/commit/e27f99e096a4103d6af996a9256e716be555d508
analyticsadmin v1alpha https://togithub.com/googleapis/google-api-python-client/commit/d6bbc3c4b06b2280c57c44e9f47eb172422b326d
compute alpha https://togithub.com/googleapis/google-api-python-client/commit/792c2675e5777eb2a2cb2fa3bd3b288ca08aa160
compute beta https://togithub.com/googleapis/google-api-python-client/commit/792c2675e5777eb2a2cb2fa3bd3b288ca08aa160
dialogflow v2beta1 https://togithub.com/googleapis/google-api-python-client/commit/e8920a15d2af3bcb1b32a4945ce3319da6979b21
discoveryengine v1alpha https://togithub.com/googleapis/google-api-python-client/commit/63bef2d65e6fddd72ff9867f5d95daa309513c99
discoveryengine v1beta https://togithub.com/googleapis/google-api-python-client/commit/63bef2d65e6fddd72ff9867f5d95daa309513c99
merchantapi accounts_v1beta https://togithub.com/googleapis/google-api-python-client/commit/4758ea61103fea73407070d2686b56a2b0fd901f

## Discovery Artifact Change Summary:
feat(aiplatform): update the api https://togithub.com/googleapis/google-api-python-client/commit/e27f99e096a4103d6af996a9256e716be555d508
feat(analyticsadmin): update the api https://togithub.com/googleapis/google-api-python-client/commit/d6bbc3c4b06b2280c57c44e9f47eb172422b326d
feat(cloudchannel): update the api https://togithub.com/googleapis/google-api-python-client/commit/6c0fdebd1c083c139de7811adf846668930d00eb
feat(cloudfunctions): update the api https://togithub.com/googleapis/google-api-python-client/commit/494bd14ef05ed39074780d6127c390c73d5cf9be
fix(cloudkms): update the api https://togithub.com/googleapis/google-api-python-client/commit/4a4dd262366fea4ad308fb2db3cf4d131b6add31
feat(compute): update the api https://togithub.com/googleapis/google-api-python-client/commit/792c2675e5777eb2a2cb2fa3bd3b288ca08aa160
feat(containeranalysis): update the api https://togithub.com/googleapis/google-api-python-client/commit/c6435da454e92e359d40e4016139955ed93df40c
feat(dialogflow): update the api https://togithub.com/googleapis/google-api-python-client/commit/e8920a15d2af3bcb1b32a4945ce3319da6979b21
feat(discoveryengine): update the api https://togithub.com/googleapis/google-api-python-client/commit/63bef2d65e6fddd72ff9867f5d95daa309513c99
feat(firebaseml): update the api https://togithub.com/googleapis/google-api-python-client/commit/43da6973f96ca80604d5da3c37b10e660660c367
feat(healthcare): update the api https://togithub.com/googleapis/google-api-python-client/commit/e54fb1d30f394ef8aacd88ae030bd7c8793da37f
feat(merchantapi): update the api https://togithub.com/googleapis/google-api-python-client/commit/4758ea61103fea73407070d2686b56a2b0fd901f
feat(networkservices): update the api https://togithub.com/googleapis/google-api-python-client/commit/cc6fe630cdd7326a9e1ec93085ee1ab5a6a35a4b
feat(recaptchaenterprise): update the api https://togithub.com/googleapis/google-api-python-client/commit/3251e871470a66f7306dc819fc597e6410cd42b4
feat(sqladmin): update the api https://togithub.com/googleapis/google-api-python-client/commit/de5da7ae3f09510781692aa95380add24a7129d8

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

@@ -335,6 +335,8 @@ <h3>Method Details</h3>
   &quot;resourcesConsumed&quot;: { # Statistics information about resource consumption. # Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
     &quot;replicaHours&quot;: 3.14, # Output only. The number of replica hours used. Note that many replicas may run in parallel, and additionally any given work may be queued for some time. Therefore this value is not strictly related to wall time.
   },
+  &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+  &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;serviceAccount&quot;: &quot;A String&quot;, # The service account that the DeployedModel&#x27;s container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
   &quot;startTime&quot;: &quot;A String&quot;, # Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
   &quot;state&quot;: &quot;A String&quot;, # Output only. The detailed state of the job.
@@ -605,6 +607,8 @@ <h3>Method Details</h3>
   &quot;resourcesConsumed&quot;: { # Statistics information about resource consumption. # Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
     &quot;replicaHours&quot;: 3.14, # Output only. The number of replica hours used. Note that many replicas may run in parallel, and additionally any given work may be queued for some time. Therefore this value is not strictly related to wall time.
   },
+  &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+  &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;serviceAccount&quot;: &quot;A String&quot;, # The service account that the DeployedModel&#x27;s container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
   &quot;startTime&quot;: &quot;A String&quot;, # Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
   &quot;state&quot;: &quot;A String&quot;, # Output only. The detailed state of the job.
@@ -917,6 +921,8 @@ <h3>Method Details</h3>
   &quot;resourcesConsumed&quot;: { # Statistics information about resource consumption. # Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
     &quot;replicaHours&quot;: 3.14, # Output only. The number of replica hours used. Note that many replicas may run in parallel, and additionally any given work may be queued for some time. Therefore this value is not strictly related to wall time.
   },
+  &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+  &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;serviceAccount&quot;: &quot;A String&quot;, # The service account that the DeployedModel&#x27;s container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
   &quot;startTime&quot;: &quot;A String&quot;, # Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
   &quot;state&quot;: &quot;A String&quot;, # Output only. The detailed state of the job.
@@ -1200,6 +1206,8 @@ <h3>Method Details</h3>
       &quot;resourcesConsumed&quot;: { # Statistics information about resource consumption. # Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
         &quot;replicaHours&quot;: 3.14, # Output only. The number of replica hours used. Note that many replicas may run in parallel, and additionally any given work may be queued for some time. Therefore this value is not strictly related to wall time.
       },
+      &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+      &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
       &quot;serviceAccount&quot;: &quot;A String&quot;, # The service account that the DeployedModel&#x27;s container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
       &quot;startTime&quot;: &quot;A String&quot;, # Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
       &quot;state&quot;: &quot;A String&quot;, # Output only. The detailed state of the job.

docs/dyn/aiplatform_v1.projects.locations.datasets.dataItems.html

@@ -128,6 +128,8 @@ <h3>Method Details</h3>
       },
       &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the DataItem.
       &quot;payload&quot;: &quot;&quot;, # Required. The data that the DataItem represents (for example, an image or a text snippet). The schema of the payload is stored in the parent Dataset&#x27;s metadata schema&#x27;s dataItemSchemaUri field.
+      &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+      &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
       &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DataItem was last updated.
     },
   ],

docs/dyn/aiplatform_v1.projects.locations.datasets.datasetVersions.html

@@ -121,6 +121,8 @@ <h3>Method Details</h3>
   &quot;metadata&quot;: &quot;&quot;, # Required. Output only. Additional information about the DatasetVersion.
   &quot;modelReference&quot;: &quot;A String&quot;, # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
   &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the DatasetVersion.
+  &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+  &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DatasetVersion was last updated.
 }
 
@@ -211,6 +213,8 @@ <h3>Method Details</h3>
   &quot;metadata&quot;: &quot;&quot;, # Required. Output only. Additional information about the DatasetVersion.
   &quot;modelReference&quot;: &quot;A String&quot;, # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
   &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the DatasetVersion.
+  &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+  &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DatasetVersion was last updated.
 }</pre>
 </div>
@@ -244,6 +248,8 @@ <h3>Method Details</h3>
       &quot;metadata&quot;: &quot;&quot;, # Required. Output only. Additional information about the DatasetVersion.
       &quot;modelReference&quot;: &quot;A String&quot;, # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
       &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the DatasetVersion.
+      &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+      &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
       &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DatasetVersion was last updated.
     },
   ],
@@ -282,6 +288,8 @@ <h3>Method Details</h3>
   &quot;metadata&quot;: &quot;&quot;, # Required. Output only. Additional information about the DatasetVersion.
   &quot;modelReference&quot;: &quot;A String&quot;, # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
   &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the DatasetVersion.
+  &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+  &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DatasetVersion was last updated.
 }
 
@@ -302,6 +310,8 @@ <h3>Method Details</h3>
   &quot;metadata&quot;: &quot;&quot;, # Required. Output only. Additional information about the DatasetVersion.
   &quot;modelReference&quot;: &quot;A String&quot;, # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
   &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the DatasetVersion.
+  &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+  &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DatasetVersion was last updated.
 }</pre>
 </div>

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

@@ -164,6 +164,8 @@ <h3>Method Details</h3>
   &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
   &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset.
+  &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+  &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
     { # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
       &quot;annotationFilter&quot;: &quot;A String&quot;, # Output only. Filters on the Annotations in the dataset.
@@ -337,6 +339,8 @@ <h3>Method Details</h3>
   &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
   &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset.
+  &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+  &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
     { # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
       &quot;annotationFilter&quot;: &quot;A String&quot;, # Output only. Filters on the Annotations in the dataset.
@@ -450,6 +454,8 @@ <h3>Method Details</h3>
       &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
       &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
       &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset.
+      &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+      &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
       &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
         { # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
           &quot;annotationFilter&quot;: &quot;A String&quot;, # Output only. Filters on the Annotations in the dataset.
@@ -511,6 +517,8 @@ <h3>Method Details</h3>
   &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
   &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset.
+  &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+  &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
     { # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
       &quot;annotationFilter&quot;: &quot;A String&quot;, # Output only. Filters on the Annotations in the dataset.
@@ -554,6 +562,8 @@ <h3>Method Details</h3>
   &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
   &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset.
+  &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+  &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
     { # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
       &quot;annotationFilter&quot;: &quot;A String&quot;, # Output only. Filters on the Annotations in the dataset.
@@ -628,6 +638,8 @@ <h3>Method Details</h3>
         },
         &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the DataItem.
         &quot;payload&quot;: &quot;&quot;, # Required. The data that the DataItem represents (for example, an image or a text snippet). The schema of the payload is stored in the parent Dataset&#x27;s metadata schema&#x27;s dataItemSchemaUri field.
+        &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
+        &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
         &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DataItem was last updated.
       },
       &quot;hasTruncatedAnnotations&quot;: True or False, # True if and only if the Annotations field has been truncated. It happens if more Annotations for this DataItem met the request&#x27;s annotation_filter than are allowed to be returned by annotations_limit. Note that if Annotations field is not being returned due to field mask, then this field will not be set to true no matter how many Annotations are there.