code: def test_under_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
  """
      with pytest.raises(ValueError, match="Must specify either"):
          read_fwf(StringIO(data), colspecs=None, widths=None)
  
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 6 for calling a global function with example usage: test_under_specified() without return types