code: def test_skip_rows_and_n_rows():
      # GH#44021
      data = """a\tb
  1\t a
  2\t b
  3\t c
  4\t d
  5\t e
  6\t f
      """
      result = read_fwf(StringIO(data), nrows=4, skiprows=[2, 4])
      expected = DataFrame(
          {"a": [1, 3, 5, 6], "b": ["a", "c", "e", "f"]}
      )
      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 38 for calling a global function with example usage: test_skip_rows_and_n_rows() without return types