code: def testValidateDefaultConfigAWSMultiNodeTypes(self):
      aws_config_path = os.path.join(
          RAY_PATH, "autoscaler/aws/example-multi-node-type.yaml"
      )
      with open(aws_config_path) as f:
          config = yaml.safe_load(f)
      new_config = copy.deepcopy(config)
      # modify it here
      new_config["available_node_types"] = {
          "cpu_4_ondemand": new_config["available_node_types"][
              "cpu_4_ondemand"
          ],
          "cpu_16_spot": new_config["available_node_types"][
              "cpu_16_spot"
          ],
          "gpu_8_ondemand": new_config["available_node_types"][
              "gpu_8_ondemand"
          ],
          "neuron_core_inf_1_ondemand": {
              "node_config": {
                  "InstanceType": "inf2.xlarge",
                  "ImageId": "latest_dlami",
              },
              "max_workers": 2,
          },
      }
      orig_new_config = copy.deepcopy(new_config)
      expected_available_node_types = orig_new_config[
          "available_node_types"
      ]
      expected_available_node_types["cpu_4_ondemand"]["resources"] = {
          "CPU": 4
      }
      expected_available_node_types["cpu_16_spot"]["resources"] = {
          "CPU": 16,
          "memory": 48103633715,
          "Custom1": 1,
          "is_spot": 1,
      }
      expected_available_node_types["gpu_8_ondemand"]["resources"] = {
          "CPU": 32,
          "memory": 183395103539,
          "GPU": 4,
          "accelerator_type:V100": 1,
      }
      expected_available_node_types["neuron_core_inf_1_ondemand"][
          "resources"
      ] = {
          "CPU": 4,
          "memory": 12025908428,
          "neuron_cores": 2,
          "accelerator_type:aws-neuron-core": 1,
      }
      expected_available_node_types["cpu_16_spot"]["min_workers"] = 0
      expected_available_node_types["gpu_8_ondemand"]["min_workers"] = 0
      expected_available_node_types["neuron_core_inf_1_ondemand"][
          "min_workers"
      ] = 0
  
      boto3_dict = {
          "InstanceTypes": [
              {
                  "InstanceType": "m4.xlarge",
                  "VCpuInfo": {"DefaultVCpus": 4},
                  "MemoryInfo": {"SizeInMiB": 16384},
              },
              {
                  "InstanceType": "m4.4xlarge",
                  "VCpuInfo": {"DefaultVCpus": 16},
                  "MemoryInfo": {"SizeInMiB": 65536},
              },
              {
                  "InstanceType": "p3.8xlarge",
                  "VCpuInfo": {"DefaultVCpus": 32},
                  "MemoryInfo": {"SizeInMiB": 249856},
                  "GpuInfo": {"Gpus": [{"Name": "V100", "Count": 4}]},
              },
              {
                  "InstanceType": "inf2.xlarge",
                  "VCpuInfo": {"DefaultVCpus": 4},
                  "MemoryInfo": {"SizeInMiB": 16384},
                  "AcceleratorInfo": {
                      "Accelerators": [
                          {"Name": "Inferentia", "Count": 1}
                      ]
                  },
              },
          ]
      }
      describe_instance_types_mock = Mock()
      describe_instance_types_mock.describe_instance_types = MagicMock(
          return_value=boto3_dict
      )
      client_cache_mock = MagicMock(
          return_value=describe_instance_types_mock
      )
      with patch.multiple(
          "ray.autoscaler._private.aws.node_provider",
          client_cache=client_cache_mock,
      ):
          new_config = prepare_config(new_config)
          importer = _NODE_PROVIDERS.get(new_config["provider"]["type"])
          provider_cls = importer(new_config["provider"])
  
          try:
              new_config = (
                  provider_cls.fillout_available_node_types_resources(
                      new_config
                  )
              )
              validate_config(new_config)
              assert (
                  expected_available_node_types
                  == new_config["available_node_types"]
              )
          except Exception:
              self.fail(
                  "Config did not pass multi node types auto fill test!"
              )
  
imports: import copy
  import logging
  import os
  import sys
  import tempfile
  from typing import Dict, Any
  import unittest
  import urllib
  from unittest.mock import MagicMock, Mock, patch
  import jsonschema
  import pytest
  import yaml
  from click.exceptions import ClickException
  import mock
  from ray._private.test_utils import load_test_config, recursive_fnmatch
  from ray.autoscaler._private._azure.config import _configure_key_pair
  from ray.autoscaler._private.gcp import config
  from ray.autoscaler._private.providers import _NODE_PROVIDERS
  from ray.autoscaler._private.util import fill_node_type_min_max_workers, merge_setup_commands, prepare_config, validate_config
label_desc: Use image node_id 3 for calling the AutoscalingConfigTest obj's underlying member method code with example usage: obj.testValidateDefaultConfigAWSMultiNodeTypes() without return types