code: def test_time_cutoff_from_timestamp():
      df = pd.DataFrame(
          {
              "date": [
                  1577836800000000000,
                  1577840400000000000,
                  1577844000000000000,
              ]
          }
      )
      converter = DateTimeSearchKeyConverter("date")
      with pytest.raises(
          Exception, match="Unsupported type of date column date.*"
      ):
          converter.convert(df)
  
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 25 for calling a global function with example usage: test_time_cutoff_from_timestamp() without return types