code: def test_fwf_for_uint8():
      data = """1421302965.213420    PRI=3 PGN=0xef00      DST=0x17 SRC=0x28    04 154 00 00 00 00 00 127
  1421302964.226776    PRI=6 PGN=0xf002               SRC=0x47    243 00 00 255 247 00 00 71"""  # noqa: E501
      df = read_fwf(
          StringIO(data),
          colspecs=[
              (0, 17),
              (25, 26),
              (33, 37),
              (49, 51),
              (58, 62),
              (63, 1000),
          ],
          names=["time", "pri", "pgn", "dst", "src", "data"],
          converters={
              "pgn": lambda x: int(x, 16),
              "src": lambda x: int(x, 16),
              "dst": lambda x: int(x, 16),
              "data": lambda x: len(x.split(" ")),
          },
      )
  
      expected = DataFrame(
          [
              [1421302965.213420, 3, 61184, 23, 40, 8],
              [1421302964.226776, 6, 61442, None, 71, 8],
          ],
          columns=["time", "pri", "pgn", "dst", "src", "data"],
      )
      expected["dst"] = expected["dst"].astype(object)
      tm.assert_frame_equal(df, 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 14 for calling a global function with example usage: test_fwf_for_uint8() without return types