code: def test_faceted_drop(self, toy_df_facets):
      groupby = GroupBy(["x", "grp", "col"])
      res = Dodge(empty="drop")(toy_df_facets, groupby, "x", {})
  
      assert_array_equal(res["y"], [1, 2, 3, 1, 2, 3])
      assert_array_almost_equal(res["x"], [-0.2, 0.2, 1, 0, 1, 2])
      assert_array_almost_equal(res["width"], [0.4] * 6)
  
imports: from itertools import product
  import numpy
  import pandas
  from pandas.testing import assert_series_equal
  from numpy.testing import assert_array_equal, assert_array_almost_equal
  from seaborn._core.moves import Dodge, Jitter, Shift, Stack, Norm
  from seaborn._core.rules import categorical_order
  from seaborn._core.groupby import GroupBy
  import pytest
label_desc: Use image node_id 10 for calling the TestDodge obj's underlying member method code with example usage: obj.test_faceted_drop(toy_df_facets) without return types