code: def test_get_dummies_basic(self, sparse, dtype):
      s_list = list("abc")
      s_series = Series(s_list)
      s_series_index = Series(s_list, list("ABC"))
  
      expected = DataFrame(
          {"a": [1, 0, 0], "b": [0, 1, 0], "c": [0, 0, 1]},
          dtype=self.effective_dtype(dtype),
      )
      if sparse:
          if dtype.kind == "b":
              expected = expected.apply(SparseArray, fill_value=False)
          else:
              expected = expected.apply(SparseArray, fill_value=0.0)
      result = get_dummies(s_list, sparse=sparse, dtype=dtype)
      tm.assert_frame_equal(result, expected)
  
      result = get_dummies(s_series, sparse=sparse, dtype=dtype)
      tm.assert_frame_equal(result, expected)
  
      expected.index = list("ABC")
      result = get_dummies(s_series_index, sparse=sparse, dtype=dtype)
      tm.assert_frame_equal(result, expected)
  
imports: import re
  import unicodedata
  import numpy
  import pytest
  import pandas.util._test_decorators
  from pandas.core.dtypes.common import is_integer_dtype
  import pandas
  from pandas import ArrowDtype, Categorical, CategoricalDtype, CategoricalIndex, DataFrame, Index, RangeIndex, Series, SparseDtype, get_dummies
  import pandas._testing
  from pandas.core.arrays.sparse import SparseArray
label_desc: Use image node_id 6 for calling the TestGetDummies obj's underlying member method code with example usage: obj.test_get_dummies_basic(sparse, dtype) without return types