code: def test_string_ip_to_int_conversion():
      df = pd.DataFrame(
          [
              {"ip": "192.168.1.1"},
              {"ip": ""},
              {"ip": None},
          ]
      )
      dataset = Dataset(
          "test",
          df=df,
          search_keys=[("ip",)],
          meaning_types={
              "ip": FileColumnMeaningType.IP_ADDRESS,
          },
      )
      dataset._Dataset__rename_columns()
      dataset._Dataset__convert_ip()
      assert dataset.data["ip_bb9af5_v4"].dtype == "Int64"
      assert dataset.data["ip_bb9af5_v4"].iloc[0] == 3232235777
      assert dataset.data["ip_bb9af5_v4"].isnull().sum() == 2
      assert dataset.data["ip_bb9af5_v6"].dtype.name == "string"
      assert dataset.data["ip_bb9af5_v6"].iloc[0] == "281473913979137"
      assert dataset.data["ip_bb9af5_v6"].isnull().sum() == 2
  
imports: import ipaddress
  import random
  from datetime import date, datetime
  import numpy
  import pandas
  import pytest
  from pandas.testing import assert_frame_equal
  from upgini import Dataset, FileColumnMeaningType
  from upgini.errors import ValidationError
  from upgini.metadata import ModelTaskType, SearchKey
  from upgini.resource_bundle import bundle
  from upgini.utils.datetime_utils import DateTimeSearchKeyConverter
  from upgini.utils.email_utils import EmailSearchKeyConverter
  from upgini.utils.features_validator import FeaturesValidator
  from upgini.utils.warning_counter import WarningCounter
label_desc: Use image node_id 3 for calling a global function with example usage: test_string_ip_to_int_conversion() without return types