code: def mock_cartpole_normalization() -> (
      Dict[int, NormalizationParameters]
  ):
      """Get mock normalization from our local file."""
      with open(CARTPOLE_NORMALIZATION_JSON, "r") as f:
          norm = json.load(f)
  
      norm_params_dict = {}
      for k, v in norm.items():
          norm_params_dict[k] = NormalizationParameters(**json.loads(v))
      return norm_params_dict
  
imports: import json
  import os
  import unittest
  import zipfile
  from typing import Dict
  from unittest.mock import patch
  import reagent
  import reagent.workflow.cli
  import torch
  from click.testing import CliRunner
  from reagent.core.parameters import NormalizationParameters
  from reagent.test.base.horizon_test_base import HorizonTestBase
  from reagent.workflow.types import Dataset
  from ruamel.yaml import YAML
label_desc: Use image node_id 2 for calling a global function with example usage: mock_cartpole_normalization() and returns: norm_params_dict