code: def test_read_csv_compat():
      csv_data = """\
  A,B,C,D,E
  2011,58,360.242940,149.910199,11950.7
  2011,59,444.953632,166.985655,11788.4
  2011,60,364.136849,183.628767,11806.2
  2011,61,413.836124,184.375703,11916.8
  2011,62,502.953953,173.237159,12468.3
  """
      expected = read_csv(StringIO(csv_data), engine="python")
  
      fwf_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)]
      result = read_fwf(StringIO(fwf_data), colspecs=colspecs)
      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 7 for calling a global function with example usage: test_read_csv_compat() without return types