chore: Migrate gsutil usage to gcloud storage (googleapis#25489)

* chore: Migrate gsutil usage to gcloud storage

* chore: Update classes.rb

Author: gurusai-voleti

generated/google-apis-cloudasset_v1/lib/google/apis/cloudasset_v1/classes.rb

@@ -1355,7 +1355,7 @@ def update!(**args)
       class GcsDestination
         include Google::Apis::Core::Hashable
 
-        # The URI of the Cloud Storage object. It's the same URI that is used by gsutil.
+        # The URI of the Cloud Storage object. It's the same URI that is used by gcloud storage.
         # Example: "gs://bucket_name/object_name". See [Viewing and Editing Object
         # Metadata](https://cloud.google.com/storage/docs/viewing-editing-metadata) for
         # more information. If the specified Cloud Storage object already exists and

generated/google-apis-cloudasset_v1beta1/lib/google/apis/cloudasset_v1beta1/classes.rb

@@ -464,7 +464,7 @@ def update!(**args)
       class GcsDestination
         include Google::Apis::Core::Hashable
 
-        # The URI of the Cloud Storage object. It's the same URI that is used by gsutil.
+        # The URI of the Cloud Storage object. It's the same URI that is used by gcloud storage.
         # For example: "gs://bucket_name/object_name". See [Viewing and Editing Object
         # Metadata](https://cloud.google.com/storage/docs/viewing-editing-metadata) for
         # more information.

generated/google-apis-genomics_v1alpha2/lib/google/apis/genomics_v1alpha2/classes.rb

@@ -787,18 +787,18 @@ def update!(**args)
       # otherwise. The pipeline runner should add a key/value pair to either the
       # inputs or outputs map. The indicated data copies will be carried out before/
       # after pipeline execution, just as if the corresponding arguments were provided
-      # to `gsutil cp`. For example: Given the following `PipelineParameter`,
+      # to `gcloud storage cp`. For example: Given the following `PipelineParameter`,
       # specified in the `inputParameters` list: ``` `name: "input_file", localCopy: `
       # path: "file.txt", disk: "pd1"`` ``` where `disk` is defined in the `
       # PipelineResources` object as: ``` `name: "pd1", mountPoint: "/mnt/disk/"` ```
       # We create a disk named `pd1`, mount it on the host VM, and map `/mnt/pd1` to `/
       # mnt/disk` in the docker container. At runtime, an entry for `input_file` would
       # be required in the inputs map, such as: ``` inputs["input_file"] = "gs://my-
-      # bucket/bar.txt" ``` This would generate the following gsutil call: ``` gsutil
+      # bucket/bar.txt" ``` This would generate the following gcloud storage call: ``` gcloud storage
       # cp gs://my-bucket/bar.txt /mnt/pd1/file.txt ``` The file `/mnt/pd1/file.txt`
       # maps to `/mnt/disk/file.txt` in the Docker container. Acceptable paths are:
       # Google Cloud storage pathLocal path file file glob directory For outputs, the
-      # direction of the copy is reversed: ``` gsutil cp /mnt/disk/file.txt gs://my-
+      # direction of the copy is reversed: ``` gcloud storage cp /mnt/disk/file.txt gs://my-
       # bucket/bar.txt ``` Acceptable paths are: Local pathGoogle Cloud Storage path
       # file file file directory - directory must already exist glob directory -
       # directory will be created if it doesn't exist One restriction due to docker