code: def test_dtype(dtype):
      data = """ a    b    c
  1    2    3.2
  3    4    5.2
  """
      colspecs = [(0, 5), (5, 10), (10, None)]
      result = read_fwf(StringIO(data), colspecs=colspecs, dtype=dtype)
  
      expected = DataFrame(
          {"a": [1, 3], "b": [2, 4], "c": [3.2, 5.2]},
          columns=["a", "b", "c"],
      )
  
      for col, dt in dtype.items():
          expected[col] = expected[col].astype(dt)
  
      tm.assert_frame_equal(result, expected)
  
imports: from datetime import datetime
  from io import BytesIO, StringIO
  from pathlib import Path
  import numpy
  import pytest
  from pandas.errors import EmptyDataError
  import pandas
  from pandas import DataFrame, DatetimeIndex
  import pandas._testing
  from pandas.core.arrays import ArrowStringArray, StringArray
  from pandas.io.common import urlopen
  from pandas.io.parsers import read_csv, read_fwf
label_desc: Use image node_id 26 for calling a global function with example usage: test_dtype(dtype) without return types