code: def test_asfreq2(self, frame_or_series):
      ts = frame_or_series(
          [0.0, 1.0, 2.0],
          index=DatetimeIndex(
              [
                  datetime(2009, 10, 30),
                  datetime(2009, 11, 30),
                  datetime(2009, 12, 31),
              ],
              dtype="M8[ns]",
              freq="BME",
          ),
      )
  
      daily_ts = ts.asfreq("B")
      monthly_ts = daily_ts.asfreq("BME")
      tm.assert_equal(monthly_ts, ts)
  
      daily_ts = ts.asfreq("B", method="pad")
      monthly_ts = daily_ts.asfreq("BME")
      tm.assert_equal(monthly_ts, ts)
  
      daily_ts = ts.asfreq(offsets.BDay())
      monthly_ts = daily_ts.asfreq(offsets.BMonthEnd())
      tm.assert_equal(monthly_ts, ts)
  
      result = ts[:0].asfreq("ME")
      assert len(result) == 0
      assert result is not ts
  
      if frame_or_series is Series:
          daily_ts = ts.asfreq("D", fill_value=-1)
          result = daily_ts.value_counts().sort_index()
          expected = Series(
              [60, 1, 1, 1], index=[-1.0, 2.0, 1.0, 0.0], name="count"
          ).sort_index()
          tm.assert_series_equal(result, expected)
  
imports: from datetime import datetime
  import numpy
  import pytest
  from pandas._libs.tslibs.offsets import MonthEnd
  from pandas import DataFrame, DatetimeIndex, Series, date_range, period_range, to_datetime
  import pandas._testing
  from pandas.tseries import offsets
label_desc: Use image node_id 1 for calling the TestAsFreq obj's underlying member method code with example usage: obj.test_asfreq2(frame_or_series) without return types