code: def test_skiprows_with_iterator():
      # GH#10261, GH#56323
      data = """0
  1
  2
  3
  4
  5
  6
  7
  8
  9
      """
      df_iter = read_fwf(
          StringIO(data),
          colspecs=[(0, 2)],
          names=["a"],
          iterator=True,
          chunksize=2,
          skiprows=[0, 1, 2, 6, 9],
      )
      expected_frames = [
          DataFrame({"a": [3, 4]}),
          DataFrame({"a": [5, 7]}, index=[2, 3]),
          DataFrame({"a": [8]}, index=[4]),
      ]
      for i, result in enumerate(df_iter):
          tm.assert_frame_equal(result, expected_frames[i])
  
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 39 for calling a global function with example usage: test_skiprows_with_iterator() without return types