code: def test_fwf_thousands(thousands):
      data = """\
   1 2,334.0    5
  10   13     10.
  """
      data = data.replace(",", thousands)
  
      colspecs = [(0, 3), (3, 11), (12, 16)]
      expected = DataFrame([[1, 2334.0, 5], [10, 13, 10.0]])
  
      result = read_fwf(
          StringIO(data),
          header=None,
          colspecs=colspecs,
          thousands=thousands,
      )
      tm.assert_almost_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 17 for calling a global function with example usage: test_fwf_thousands(thousands) without return types