code: def test_converter_multi_index(all_parsers):
      # GH 42446
      parser = all_parsers
      data = "A,B,B\nX,Y,Z\n1,2,3"
  
      if parser.engine == "pyarrow":
          msg = "The 'converters' option is not supported with the 'pyarrow' engine"
          with pytest.raises(ValueError, match=msg):
              parser.read_csv(
                  StringIO(data),
                  header=list(range(2)),
                  converters={
                      ("A", "X"): np.int32,
                      ("B", "Y"): np.int32,
                      ("B", "Z"): np.float32,
                  },
              )
          return
  
      result = parser.read_csv(
          StringIO(data),
          header=list(range(2)),
          converters={
              ("A", "X"): np.int32,
              ("B", "Y"): np.int32,
              ("B", "Z"): np.float32,
          },
      )
  
      expected = DataFrame(
          {
              ("A", "X"): np.int32([1]),
              ("B", "Y"): np.int32([2]),
              ("B", "Z"): np.float32([3]),
          }
      )
  
      tm.assert_frame_equal(result, expected)
  
file_path: pandas/pandas/tests/io/parser/test_converters.py
imports: from io import StringIO
  from dateutil.parser import parse
  import numpy
  import pytest
  import pandas
  from pandas import DataFrame, Index
  import pandas._testing
label_desc: Use image node_id 8 for calling a global function with example usage: test_converter_multi_index(all_parsers) without return types