code: def get_valid_ray_actor_options_schema(self):
      return {
          "runtime_env": {
              "working_dir": TEST_MODULE_PINNED_URI,
          },
          "num_cpus": 0.2,
          "num_gpus": 50,
          "memory": 3,
          "object_store_memory": 64,
          "resources": {"custom_asic": 12},
          "accelerator_type": NVIDIA_TESLA_V100,
      }
  
imports: import copy
  import json
  import logging
  import sys
  from typing import Dict, List, Optional, Union
  import pytest
  from ray import serve
  from ray._private.pydantic_compat import ValidationError
  from ray.serve.config import AutoscalingConfig
  from ray.serve.deployment import deployment_to_schema, schema_to_deployment
  from ray.serve.schema import DeploymentSchema, LoggingConfig, RayActorOptionsSchema, ServeApplicationSchema, ServeDeploySchema, ServeInstanceDetails
  from ray.serve.tests.common.remote_uris import TEST_DEPLOY_GROUP_PINNED_URI, TEST_MODULE_PINNED_URI
  from ray.util.accelerators.accelerators import NVIDIA_TESLA_P4, NVIDIA_TESLA_V100
label_desc: Use image node_id 1 for calling the TestRayActorOptionsSchema obj's underlying member method code with example usage: obj.get_valid_ray_actor_options_schema() and returns: dict