code: def test_multiple_groupers(self, df):
      ori = "x"
      df = df[["x", "group"]].sort_values("group")
      gb = self.get_groupby(df, ori)
      res = Count()(df, gb, ori, {})
      expected = df.groupby(["x", "group"]).size()
      assert_array_equal(res.sort_values(["x", "group"])["y"], expected)
  
imports: import numpy
  import pandas
  import pytest
  from numpy.testing import assert_array_equal
  from seaborn._core.groupby import GroupBy
  from seaborn._stats.counting import Hist, Count
label_desc: Use image node_id 4 for calling the TestCount obj's underlying member method code with example usage: obj.test_multiple_groupers(df) without return types