code: def test_day_attribute_non_nano_beyond_int32():
      # GH 52386
      data = np.array(
          [
              136457654736252,
              134736784364431,
              245345345545332,
              223432411,
              2343241,
              3634548734,
              23234,
          ],
          dtype="timedelta64[s]",
      )
      ser = Series(data)
      result = ser.dt.days
      expected = Series(
          [1579371003, 1559453522, 2839645203, 2586, 27, 42066, 0]
      )
      tm.assert_series_equal(result, expected)
  
imports: import calendar
  from datetime import date, datetime, time
  import locale
  import unicodedata
  import numpy
  import pytest
  import pytz
  from pandas._libs.tslibs.timezones import maybe_get_tz
  from pandas.errors import SettingWithCopyError
  from pandas.core.dtypes.common import is_integer_dtype, is_list_like
  import pandas
  from pandas import DataFrame, DatetimeIndex, Index, Period, PeriodIndex, Series, TimedeltaIndex, date_range, period_range, timedelta_range
  import pandas._testing
  from pandas.core.arrays import DatetimeArray, PeriodArray, TimedeltaArray
label_desc: Use image node_id 3 for calling a global function with example usage: test_day_attribute_non_nano_beyond_int32() without return types