code: def test_dataframe_dummies_string_dtype(self, df, using_infer_string):
      # GH44965
      df = df[["A", "B"]]
      df = df.astype({"A": "object", "B": "string"})
      result = get_dummies(df)
      expected = DataFrame(
          {
              "A_a": [1, 0, 1],
              "A_b": [0, 1, 0],
              "B_b": [1, 1, 0],
              "B_c": [0, 0, 1],
          },
          dtype=bool,
      )
      if not using_infer_string:
          # infer_string returns numpy bools
          expected[["B_b", "B_c"]] = expected[["B_b", "B_c"]].astype(
              "boolean"
          )
      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 12 for calling the TestGetDummies obj's underlying member method code with example usage: obj.test_dataframe_dummies_string_dtype(df, using_infer_string) without return types