code: def test_get_dummies(self):
      for pdf_or_ps in [
          pd.Series([1, 1, 1, 2, 2, 1, 3, 4]),
          # pd.Series([1, 1, 1, 2, 2, 1, 3, 4], dtype='category'),
          # pd.Series(pd.Categorical([1, 1, 1, 2, 2, 1, 3, 4],
          #                          categories=[4, 3, 2, 1])),
          pd.DataFrame(
              {
                  "a": [1, 2, 3, 4, 4, 3, 2, 1],
                  # 'b': pd.Categorical(list('abcdabcd')),
                  "b": list("abcdabcd"),
              }
          ),
          pd.DataFrame(
              {10: [1, 2, 3, 4, 4, 3, 2, 1], 20: list("abcdabcd")}
          ),
      ]:
          psdf_or_psser = ps.from_pandas(pdf_or_ps)
  
          self.assert_eq(
              ps.get_dummies(psdf_or_psser),
              pd.get_dummies(pdf_or_ps, dtype=np.int8),
          )
  
      psser = ps.Series([1, 1, 1, 2, 2, 1, 3, 4])
      with self.assertRaisesRegex(
          NotImplementedError,
          "get_dummies currently does not support sparse",
      ):
          ps.get_dummies(psser, sparse=True)
      with self.assertRaisesRegex(
          NotImplementedError, "get_dummies currently only accept"
      ):
          ps.get_dummies(ps.Series([b"1"]))
      with self.assertRaisesRegex(
          NotImplementedError, "get_dummies currently only accept"
      ):
          ps.get_dummies(ps.Series([None]))
  
file_path: spark/python/pyspark/pandas/tests/reshape/test_get_dummies.py
imports: import datetime
  from decimal import Decimal
  import numpy
  import pandas
  from pyspark import pandas
  from pyspark.testing.pandasutils import PandasOnSparkTestCase
label_desc: Use image node_id 1 for calling the GetDummiesMixin obj's underlying member method code with example usage: obj.test_get_dummies() without return types