class_docstr: This class serves both as a decorator and options for workflow.
  
  Examples:
  
      .. testcode::
  
          import ray
          from ray import workflow
  
          # specify workflow options with a decorator
          @workflow.options(catch_exceptions=True)
          @ray.remote
          def foo():
              return 1
  
          # specify workflow options in ".options"
          foo_new = foo.options(**workflow.options(catch_exceptions=False))
code: def __call__(self, f: RemoteFunction) -> RemoteFunction:
      if not isinstance(f, RemoteFunction):
          raise ValueError(
              "Only apply 'workflow.options' to Ray remote functions."
          )
      f._default_options.update(self.options)
      return f
  
imports: import functools
  import logging
  import tempfile
  from typing import Dict, Set, List, Tuple, Union, Optional, Any
  import time
  import uuid
  from pathlib import Path
  import ray
  from ray.dag import DAGNode
  from ray.dag.input_node import DAGInputData
  from ray.remote_function import RemoteFunction
  from ray.workflow.common import WorkflowStatus, Event, asyncio_run, validate_user_metadata
  from ray.workflow import serialization, workflow_access, workflow_context
  from ray.workflow.event_listener import EventListener, EventListenerType, TimerListener
  from ray.workflow.workflow_storage import WorkflowStorage
  from ray.workflow.workflow_state_from_dag import workflow_state_from_dag
  from ray.util.annotations import PublicAPI
  from ray._private.usage import usage_lib
label_desc: Use image node_id 4 for calling the options obj's underlying member method code with example usage: obj.__call__(f) and returns: f