code: def test_with_large_max_level(self):
      # GH23843: Enhanced JSON normalize
      max_level = 100
      input_data = [
          {
              "CreatedBy": {
                  "user": {
                      "name": {
                          "firstname": "Leo",
                          "LastName": "Thomson",
                      },
                      "family_tree": {
                          "father": {
                              "name": "Father001",
                              "father": {
                                  "Name": "Father002",
                                  "father": {
                                      "name": "Father003",
                                      "father": {"Name": "Father004"},
                                  },
                              },
                          }
                      },
                  }
              }
          }
      ]
      expected = [
          {
              "CreatedBy.user.name.firstname": "Leo",
              "CreatedBy.user.name.LastName": "Thomson",
              "CreatedBy.user.family_tree.father.name": "Father001",
              "CreatedBy.user.family_tree.father.father.Name": "Father002",
              "CreatedBy.user.family_tree.father.father.father.name": "Father003",
              "CreatedBy.user.family_tree.father.father.father.father.Name": "Father004",  # noqa: E501
          }
      ]
      output = nested_to_record(input_data, max_level=max_level)
      assert output == expected
  
imports: import json
  import numpy
  import pytest
  from pandas import DataFrame, Index, Series, json_normalize
  import pandas._testing
  from pandas.io.json._normalize import nested_to_record
label_desc: Use image node_id 13 for calling the TestNestedToRecord obj's underlying member method code with example usage: obj.test_with_large_max_level() without return types