code: def test_dataframe_dummies_prefix_dict(self, sparse):
      prefixes = {"A": "from_A", "B": "from_B"}
      df = DataFrame(
          {"C": [1, 2, 3], "A": ["a", "b", "a"], "B": ["b", "b", "c"]}
      )
      result = get_dummies(df, prefix=prefixes, sparse=sparse)
  
      expected = DataFrame(
          {
              "C": [1, 2, 3],
              "from_A_a": [1, 0, 1],
              "from_A_b": [0, 1, 0],
              "from_B_b": [1, 1, 0],
              "from_B_c": [0, 0, 1],
          }
      )
  
      columns = ["from_A_a", "from_A_b", "from_B_b", "from_B_c"]
      expected[columns] = expected[columns].astype(bool)
      if sparse:
          expected[columns] = expected[columns].astype(
              SparseDtype("bool", False)
          )
  
      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 20 for calling the TestGetDummies obj's underlying member method code with example usage: obj.test_dataframe_dummies_prefix_dict(sparse) without return types