code: def test_basic():
      data = """\
  A         B            C            D
  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
  """
      result = read_fwf(StringIO(data))
      expected = DataFrame(
          [
              [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],
          ],
          columns=["A", "B", "C", "D"],
      )
      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 1 for calling a global function with example usage: test_basic() without return types