chore: Update discovery artifacts

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

@@ -173,7 +173,6 @@ <h3>Method Details</h3>
     ],
     &quot;scheduling&quot;: { # All parameters related to queuing and scheduling of custom jobs. # Scheduling options for a CustomJob.
       &quot;disableRetries&quot;: True or False, # Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides `Scheduling.restart_job_on_worker_restart` to false.
-      &quot;maxWaitDuration&quot;: &quot;A String&quot;, # Optional. This is the maximum time a user will wait in the QRM queue for resources. Default is 1 day
       &quot;restartJobOnWorkerRestart&quot;: True or False, # Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
       &quot;timeout&quot;: &quot;A String&quot;, # The maximum job running time. The default is 7 days.
     },
@@ -287,7 +286,6 @@ <h3>Method Details</h3>
     ],
     &quot;scheduling&quot;: { # All parameters related to queuing and scheduling of custom jobs. # Scheduling options for a CustomJob.
       &quot;disableRetries&quot;: True or False, # Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides `Scheduling.restart_job_on_worker_restart` to false.
-      &quot;maxWaitDuration&quot;: &quot;A String&quot;, # Optional. This is the maximum time a user will wait in the QRM queue for resources. Default is 1 day
       &quot;restartJobOnWorkerRestart&quot;: True or False, # Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
       &quot;timeout&quot;: &quot;A String&quot;, # The maximum job running time. The default is 7 days.
     },
@@ -443,7 +441,6 @@ <h3>Method Details</h3>
     ],
     &quot;scheduling&quot;: { # All parameters related to queuing and scheduling of custom jobs. # Scheduling options for a CustomJob.
       &quot;disableRetries&quot;: True or False, # Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides `Scheduling.restart_job_on_worker_restart` to false.
-      &quot;maxWaitDuration&quot;: &quot;A String&quot;, # Optional. This is the maximum time a user will wait in the QRM queue for resources. Default is 1 day
       &quot;restartJobOnWorkerRestart&quot;: True or False, # Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
       &quot;timeout&quot;: &quot;A String&quot;, # The maximum job running time. The default is 7 days.
     },
@@ -570,7 +567,6 @@ <h3>Method Details</h3>
         ],
         &quot;scheduling&quot;: { # All parameters related to queuing and scheduling of custom jobs. # Scheduling options for a CustomJob.
           &quot;disableRetries&quot;: True or False, # Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides `Scheduling.restart_job_on_worker_restart` to false.
-          &quot;maxWaitDuration&quot;: &quot;A String&quot;, # Optional. This is the maximum time a user will wait in the QRM queue for resources. Default is 1 day
           &quot;restartJobOnWorkerRestart&quot;: True or False, # Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
           &quot;timeout&quot;: &quot;A String&quot;, # The maximum job running time. The default is 7 days.
         },

docs/dyn/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.html

@@ -108,6 +108,9 @@ <h2>Instance Methods</h2>
 <p class="toc_element">
   <code><a href="#patch">patch(name, body=None, updateMask=None, x__xgafv=None)</a></code></p>
 <p class="firstline">Updates the parameters of a single FeatureView.</p>
+<p class="toc_element">
+  <code><a href="#searchNearestEntities">searchNearestEntities(featureView, body=None, x__xgafv=None)</a></code></p>
+<p class="firstline">Search the nearest entities under a FeatureView. Search only works for indexable feature view; if a feature view isn't indexable, returns Invalid argument response.</p>
 <p class="toc_element">
   <code><a href="#sync">sync(featureView, body=None, x__xgafv=None)</a></code></p>
 <p class="firstline">Triggers on-demand sync for the FeatureView.</p>
@@ -468,6 +471,106 @@ <h3>Method Details</h3>
 }</pre>
 </div>
 
+<div class="method">
+    <code class="details" id="searchNearestEntities">searchNearestEntities(featureView, body=None, x__xgafv=None)</code>
+  <pre>Search the nearest entities under a FeatureView. Search only works for indexable feature view; if a feature view isn&#x27;t indexable, returns Invalid argument response.
+
+Args:
+  featureView: string, Required. FeatureView resource format `projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}/featureViews/{featureView}` (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # The request message for FeatureOnlineStoreService.SearchNearestEntities.
+  &quot;query&quot;: { # A query to find a number of similar entities. # Required. The query.
+    &quot;embedding&quot;: { # The embedding vector. # Optional. The embedding vector that be used for similar search.
+      &quot;value&quot;: [ # Optional. Individual value in the embedding.
+        3.14,
+      ],
+    },
+    &quot;entityId&quot;: &quot;A String&quot;, # Optional. The entity id whose similar entities should be searched for. If embedding is set, search will use embedding instead of entity_id.
+    &quot;neighborCount&quot;: 42, # Optional. The number of similar entities to be retrieved from feature view for each query.
+    &quot;parameters&quot;: { # Parameters that can be overrided in each query to tune query latency and recall. # Optional. Parameters that can be set to tune query on the fly.
+      &quot;approximateNeighborCandidates&quot;: 42, # Optional. The number of neighbors to find via approximate search before exact reordering is performed; if set, this value must be &gt; neighbor_count.
+      &quot;leafNodesSearchFraction&quot;: 3.14, # Optional. The fraction of the number of leaves to search, set at query time allows user to tune search performance. This value increase result in both search accuracy and latency increase. The value should be between 0.0 and 1.0.
+    },
+    &quot;perCrowdingAttributeNeighborCount&quot;: 42, # Optional. Crowding is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than sper_crowding_attribute_neighbor_count of the k neighbors returned have the same value of crowding_attribute. It&#x27;s used for improving result diversity.
+    &quot;stringFilters&quot;: [ # Optional. The list of string filters.
+      { # String filter is used to search a subset of the entities by using boolean rules on string columns. For example: if a query specifies string filter with &#x27;name = color, allow_tokens = {red, blue}, deny_tokens = {purple}&#x27;,&#x27; then that query will match entities that are red or blue, but if those points are also purple, then they will be excluded even if they are red/blue. Only string filter is supported for now, numeric filter will be supported in the near future.
+        &quot;allowTokens&quot;: [ # Optional. The allowed tokens.
+          &quot;A String&quot;,
+        ],
+        &quot;denyTokens&quot;: [ # Optional. The denied tokens.
+          &quot;A String&quot;,
+        ],
+        &quot;name&quot;: &quot;A String&quot;, # Required. Column names in BigQuery that used as filters.
+      },
+    ],
+  },
+  &quot;returnFullEntity&quot;: True or False, # Optional. If set to true, the full entities (including all vector values and metadata) of the nearest neighbors are returned; otherwise only entity id of the nearest neighbors will be returned. Note that returning full entities will significantly increase the latency and cost of the query.
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response message for FeatureOnlineStoreService.SearchNearestEntities
+  &quot;nearestNeighbors&quot;: { # Nearest neighbors for one query. # The nearest neighbors of the query entity.
+    &quot;neighbors&quot;: [ # All its neighbors.
+      { # A neighbor of the query vector.
+        &quot;distance&quot;: 3.14, # The distance between the neighbor and the query vector.
+        &quot;entityId&quot;: &quot;A String&quot;, # The id of the similar entity.
+        &quot;entityKeyValues&quot;: { # Response message for FeatureOnlineStoreService.FetchFeatureValues # The attributes of the neighbor, e.g. filters, crowding and metadata Note that full entities are returned only when &quot;return_full_entity&quot; is set to true. Otherwise, only the &quot;entity_id&quot; and &quot;distance&quot; fields are populated.
+          &quot;keyValues&quot;: { # Response structure in the format of key (feature name) and (feature) value pair. # Feature values in KeyValue format.
+            &quot;features&quot;: [ # List of feature names and values.
+              { # Feature name &amp; value pair.
+                &quot;name&quot;: &quot;A String&quot;, # Feature short name.
+                &quot;value&quot;: { # Value for a feature. # Feature value.
+                  &quot;boolArrayValue&quot;: { # A list of boolean values. # A list of bool type feature value.
+                    &quot;values&quot;: [ # A list of bool values.
+                      True or False,
+                    ],
+                  },
+                  &quot;boolValue&quot;: True or False, # Bool type feature value.
+                  &quot;bytesValue&quot;: &quot;A String&quot;, # Bytes feature value.
+                  &quot;doubleArrayValue&quot;: { # A list of double values. # A list of double type feature value.
+                    &quot;values&quot;: [ # A list of double values.
+                      3.14,
+                    ],
+                  },
+                  &quot;doubleValue&quot;: 3.14, # Double type feature value.
+                  &quot;int64ArrayValue&quot;: { # A list of int64 values. # A list of int64 type feature value.
+                    &quot;values&quot;: [ # A list of int64 values.
+                      &quot;A String&quot;,
+                    ],
+                  },
+                  &quot;int64Value&quot;: &quot;A String&quot;, # Int64 feature value.
+                  &quot;metadata&quot;: { # Metadata of feature value. # Metadata of feature value.
+                    &quot;generateTime&quot;: &quot;A String&quot;, # Feature generation timestamp. Typically, it is provided by user at feature ingestion time. If not, feature store will use the system timestamp when the data is ingested into feature store. For streaming ingestion, the time, aligned by days, must be no older than five years (1825 days) and no later than one year (366 days) in the future.
+                  },
+                  &quot;stringArrayValue&quot;: { # A list of string values. # A list of string type feature value.
+                    &quot;values&quot;: [ # A list of string values.
+                      &quot;A String&quot;,
+                    ],
+                  },
+                  &quot;stringValue&quot;: &quot;A String&quot;, # String feature value.
+                },
+              },
+            ],
+          },
+          &quot;protoStruct&quot;: { # Feature values in proto Struct format.
+            &quot;a_key&quot;: &quot;&quot;, # Properties of the object.
+          },
+        },
+      },
+    ],
+  },
+}</pre>
+</div>
+
 <div class="method">
     <code class="details" id="sync">sync(featureView, body=None, x__xgafv=None)</code>
   <pre>Triggers on-demand sync for the FeatureView.

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

@@ -320,7 +320,7 @@ <h3>Method Details</h3>
   &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this FeatureOnlineStore was last updated.
 }
 
-  updateMask: string, Field mask is used to specify the fields to be overwritten in the FeatureOnlineStore resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to `*` to override all fields. Updatable fields: * `big_query_source` * `labels` * `sync_config`
+  updateMask: string, Field mask is used to specify the fields to be overwritten in the FeatureOnlineStore resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to `*` to override all fields. Updatable fields: * `big_query_source` * `bigtable` * `labels` * `sync_config`
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format

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

@@ -274,7 +274,6 @@ <h3>Method Details</h3>
     ],
     &quot;scheduling&quot;: { # All parameters related to queuing and scheduling of custom jobs. # Scheduling options for a CustomJob.
       &quot;disableRetries&quot;: True or False, # Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides `Scheduling.restart_job_on_worker_restart` to false.
-      &quot;maxWaitDuration&quot;: &quot;A String&quot;, # Optional. This is the maximum time a user will wait in the QRM queue for resources. Default is 1 day
       &quot;restartJobOnWorkerRestart&quot;: True or False, # Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
       &quot;timeout&quot;: &quot;A String&quot;, # The maximum job running time. The default is 7 days.
     },
@@ -523,7 +522,6 @@ <h3>Method Details</h3>
     ],
     &quot;scheduling&quot;: { # All parameters related to queuing and scheduling of custom jobs. # Scheduling options for a CustomJob.
       &quot;disableRetries&quot;: True or False, # Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides `Scheduling.restart_job_on_worker_restart` to false.
-      &quot;maxWaitDuration&quot;: &quot;A String&quot;, # Optional. This is the maximum time a user will wait in the QRM queue for resources. Default is 1 day
       &quot;restartJobOnWorkerRestart&quot;: True or False, # Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
       &quot;timeout&quot;: &quot;A String&quot;, # The maximum job running time. The default is 7 days.
     },
@@ -814,7 +812,6 @@ <h3>Method Details</h3>
     ],
     &quot;scheduling&quot;: { # All parameters related to queuing and scheduling of custom jobs. # Scheduling options for a CustomJob.
       &quot;disableRetries&quot;: True or False, # Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides `Scheduling.restart_job_on_worker_restart` to false.
-      &quot;maxWaitDuration&quot;: &quot;A String&quot;, # Optional. This is the maximum time a user will wait in the QRM queue for resources. Default is 1 day
       &quot;restartJobOnWorkerRestart&quot;: True or False, # Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
       &quot;timeout&quot;: &quot;A String&quot;, # The maximum job running time. The default is 7 days.
     },
@@ -1076,7 +1073,6 @@ <h3>Method Details</h3>
         ],
         &quot;scheduling&quot;: { # All parameters related to queuing and scheduling of custom jobs. # Scheduling options for a CustomJob.
           &quot;disableRetries&quot;: True or False, # Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides `Scheduling.restart_job_on_worker_restart` to false.
-          &quot;maxWaitDuration&quot;: &quot;A String&quot;, # Optional. This is the maximum time a user will wait in the QRM queue for resources. Default is 1 day
           &quot;restartJobOnWorkerRestart&quot;: True or False, # Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
           &quot;timeout&quot;: &quot;A String&quot;, # The maximum job running time. The default is 7 days.
         },

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

@@ -461,6 +461,7 @@ <h3>Method Details</h3>
       ],
     },
   ],
+  &quot;updateMask&quot;: &quot;A String&quot;, # Optional. Update mask is used to specify the fields to be overwritten in the datapoints by the update. The fields specified in the update_mask are relative to each IndexDatapoint inside datapoints, not the full request. Updatable fields: * Use `all_restricts` to update both restricts and numeric_restricts.
 }
 
   x__xgafv: string, V1 error format.