code: def test_ip_v6_conversion():
      df = pd.DataFrame({"ip": ["::cf:befe:525b"]})
      dataset = Dataset("test", df=df, search_keys=[("ip",)])
      dataset.meaning_types = {
          "ip": FileColumnMeaningType.IP_ADDRESS,
      }
  
      dataset._Dataset__rename_columns()
      dataset._Dataset__convert_ip()
      assert "ip_bb9af5_v4" not in dataset.data.columns
      assert dataset.data["ip_bb9af5_v6"].dtype.name == "string"
      assert dataset.data["ip_bb9af5_v6"].iloc[0] == "892262568539"
  
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 5 for calling a global function with example usage: test_ip_v6_conversion() without return types