Description:    "Error parsing the Credential/X-Amz-Credential parameter; incorrect service. This endpoint belongs to \"s3\".",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrInvalidServiceSTS: {
		Code:           "AuthorizationParametersError",
		Description:    "Error parsing the Credential parameter; incorrect service. This endpoint belongs to \"sts\".",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrInvalidRequestVersion: {

        if (element.equals(iterator.next())) {
          return true;
        }
      }
    }
    return false;
  }

  /**
   * Traverses an iterator and removes every element that belongs to the provided collection. The
   * iterator will be left exhausted: its {@code hasNext()} method will return {@code false}.
   *
   * @param removeFrom the iterator to (potentially) remove elements from

        if (element.equals(iterator.next())) {
          return true;
        }
      }
    }
    return false;
  }

  /**
   * Traverses an iterator and removes every element that belongs to the provided collection. The
   * iterator will be left exhausted: its {@code hasNext()} method will return {@code false}.
   *
   * @param removeFrom the iterator to (potentially) remove elements from

		parentUser := cred.AccessKey
		if cred.ParentUser != "" {
			parentUser = cred.ParentUser
		}
		if svcAccount.ParentUser != "" && parentUser != svcAccount.ParentUser {
			// The service account belongs to another user but return not
			// found error to mitigate brute force attacks. or the
			// serviceAccount doesn't exist.
			writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrAdminServiceAccountNotFound), r.URL)

  optional Verbs verbs = 4;

  // shortNames is a list of suggested short names of the resource.
  repeated string shortNames = 5;

  // categories is a list of the grouped resources this resource belongs to (e.g. 'all')
  repeated string categories = 7;

  // The hash value of the storage version, the version this resource is
  // converted to when written to the data store. Value must be treated

// In-process TensorFlow server functionality, for use in distributed training.
// A Server instance encapsulates a set of devices and a Session target that
// can participate in distributed training. A server belongs to a cluster
// (specified by a ClusterSpec), and corresponds to a particular task in a
// named job. The server can communicate with any other server in the same
// cluster.

// In-process TensorFlow server.

  /// Updates filesystem configuration with options passed in `options`. It can
  /// contain full set of options supported by the filesystem or just a subset
  /// of them. Ownership of options and buffers therein belongs to the caller
  /// and any buffers need to be allocated through filesystem allocation API.
  /// Filesystems may choose to ignore configuration errors but should at least