code: def test_filter_out_all_groups():
      s = Series([1, 3, 20, 5, 22, 24, 7])
      grouper = s.apply(lambda x: x % 2)
      grouped = s.groupby(grouper)
      tm.assert_series_equal(
          grouped.filter(lambda x: x.mean() > 1000), s[[]]
      )
      df = DataFrame({"A": [1, 12, 12, 1], "B": "a b c d".split()})
      grouper = df["A"].apply(lambda x: x % 2)
      grouped = df.groupby(grouper)
      tm.assert_frame_equal(
          grouped.filter(lambda x: x["A"].sum() > 1000), df.loc[[]]
      )
  
imports: from string import ascii_lowercase
  import numpy
  import pytest
  import pandas
  from pandas import DataFrame, Series, Timestamp
  import pandas._testing
label_desc: Use image node_id 5 for calling a global function with example usage: test_filter_out_all_groups() without return types