🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

Author: gcf-owl-bot[bot]

google/cloud/aiplatform_v1/services/migration_service/client.py

@@ -243,18 +243,23 @@ def parse_annotated_dataset_path(path: str) -> Dict[str, str]:
     @staticmethod
     def dataset_path(
         project: str,
+        location: str,
         dataset: str,
     ) -> str:
         """Returns a fully-qualified dataset string."""
-        return "projects/{project}/datasets/{dataset}".format(
+        return "projects/{project}/locations/{location}/datasets/{dataset}".format(
             project=project,
+            location=location,
             dataset=dataset,
         )
 
     @staticmethod
     def parse_dataset_path(path: str) -> Dict[str, str]:
         """Parses a dataset path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
+        m = re.match(
+            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/datasets/(?P<dataset>.+?)$",
+            path,
+        )
         return m.groupdict() if m else {}
 
     @staticmethod
@@ -282,23 +287,18 @@ def parse_dataset_path(path: str) -> Dict[str, str]:
     @staticmethod
     def dataset_path(
         project: str,
-        location: str,
         dataset: str,
     ) -> str:
         """Returns a fully-qualified dataset string."""
-        return "projects/{project}/locations/{location}/datasets/{dataset}".format(
+        return "projects/{project}/datasets/{dataset}".format(
             project=project,
-            location=location,
             dataset=dataset,
         )
 
     @staticmethod
     def parse_dataset_path(path: str) -> Dict[str, str]:
         """Parses a dataset path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/datasets/(?P<dataset>.+?)$",
-            path,
-        )
+        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
         return m.groupdict() if m else {}
 
     @staticmethod

google/cloud/aiplatform_v1/types/index_endpoint.py

@@ -342,13 +342,31 @@ class DeployedIndex(proto.Message):
 
             Note: we only support up to 5 deployment groups(not
             including 'default').
+        deployment_tier (google.cloud.aiplatform_v1.types.DeployedIndex.DeploymentTier):
+            Optional. The deployment tier that the index is deployed to.
+            DEPLOYMENT_TIER_UNSPECIFIED will use a system-chosen default
+            tier.
         psc_automation_configs (MutableSequence[google.cloud.aiplatform_v1.types.PSCAutomationConfig]):
             Optional. If set for PSC deployed index, PSC connection will
             be automatically created after deployment is done and the
             endpoint information is populated in
             private_endpoints.psc_automated_endpoints.
     """
 
+    class DeploymentTier(proto.Enum):
+        r"""Tiers encapsulate serving time attributes like latency and
+        throughput.
+
+        Values:
+            DEPLOYMENT_TIER_UNSPECIFIED (0):
+                Default deployment tier.
+            STORAGE (2):
+                Optimized for costs.
+        """
+
+        DEPLOYMENT_TIER_UNSPECIFIED = 0
+        STORAGE = 2
+
     id: str = proto.Field(
         proto.STRING,
         number=1,
@@ -407,6 +425,11 @@ class DeployedIndex(proto.Message):
         proto.STRING,
         number=11,
     )
+    deployment_tier: DeploymentTier = proto.Field(
+        proto.ENUM,
+        number=18,
+        enum=DeploymentTier,
+    )
     psc_automation_configs: MutableSequence[service_networking.PSCAutomationConfig] = (
         proto.RepeatedField(
             proto.MESSAGE,