code: def test_over_specified():
      data = """\
  A   B     C            D            E
  201158    360.242940   149.910199   11950.7
  201159    444.953632   166.985655   11788.4
  201160    364.136849   183.628767   11806.2
  201161    413.836124   184.375703   11916.8
  201162    502.953953   173.237159   12468.3
  """
      colspecs = [(0, 4), (4, 8), (8, 20), (21, 33), (34, 43)]
  
      with pytest.raises(ValueError, match="must specify only one of"):
          read_fwf(
              StringIO(data), colspecs=colspecs, widths=[6, 10, 10, 7]
          )
  
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 5 for calling a global function with example usage: test_over_specified() without return types