code: def test_dtype_with_converters(all_parsers):
      parser = all_parsers
      data = """a,b
  1.1,2.2
  1.2,2.3"""
  
      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),
                  dtype={"a": "i8"},
                  converters={"a": lambda x: str(x)},
              )
          return
  
      # Dtype spec ignored if converted specified.
      result = parser.read_csv_check_warnings(
          ParserWarning,
          "Both a converter and dtype were specified for column a "
          "- only the converter will be used.",
          StringIO(data),
          dtype={"a": "i8"},
          converters={"a": lambda x: str(x)},
      )
      expected = DataFrame({"a": ["1.1", "1.2"], "b": [2.2, 2.3]})
      tm.assert_frame_equal(result, expected)
  
imports: from collections import defaultdict
  from io import StringIO
  import numpy
  import pytest
  from pandas.errors import ParserWarning
  import pandas
  from pandas import DataFrame, Timestamp
  import pandas._testing
  from pandas.core.arrays import ArrowStringArray, IntegerArray, StringArray
label_desc: Use image node_id 5 for calling a global function with example usage: test_dtype_with_converters(all_parsers) without return types