code: def test_valid_deployment_schema(self):
      # Ensure a valid DeploymentSchema can be generated
  
      deployment_schema = {
          "name": "shallow",
          "num_replicas": 2,
          "route_prefix": "/shallow",
          "max_concurrent_queries": 32,
          "user_config": {"threshold": 0.2, "pattern": "rainbow"},
          "autoscaling_config": None,
          "graceful_shutdown_wait_loop_s": 17,
          "graceful_shutdown_timeout_s": 49,
          "health_check_period_s": 11,
          "health_check_timeout_s": 11,
          "ray_actor_options": {
              "runtime_env": {
                  "working_dir": TEST_MODULE_PINNED_URI,
                  "py_modules": [TEST_DEPLOY_GROUP_PINNED_URI],
              },
              "num_cpus": 3,
              "num_gpus": 4.2,
              "memory": 5,
              "object_store_memory": 3,
              "resources": {"custom_asic": 8},
              "accelerator_type": NVIDIA_TESLA_P4,
          },
      }
  
      DeploymentSchema.parse_obj(deployment_schema)
  
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 2 for calling the TestDeploymentSchema obj's underlying member method code with example usage: obj.test_valid_deployment_schema() without return types