code: def test_numba_vs_cython_apply(
      self, jit, nogil, parallel, nopython, center, step
  ):
      def f(x, *args):
          arg_sum = 0
          for arg in args:
              arg_sum += arg
          return np.mean(x) + arg_sum
  
      if jit:
          import numba
  
          f = numba.jit(f)
  
      engine_kwargs = {
          "nogil": nogil,
          "parallel": parallel,
          "nopython": nopython,
      }
      args = (2,)
  
      s = Series(range(10))
      result = s.rolling(2, center=center, step=step).apply(
          f,
          args=args,
          engine="numba",
          engine_kwargs=engine_kwargs,
          raw=True,
      )
      expected = s.rolling(2, center=center, step=step).apply(
          f, engine="cython", args=args, raw=True
      )
      tm.assert_series_equal(result, expected)
  
imports: import numpy
  import pytest
  from pandas.errors import NumbaUtilError
  import pandas.util._test_decorators
  from pandas import DataFrame, Series, option_context, to_datetime
  import pandas._testing
label_desc: Use image node_id 1 for calling the TestEngine obj's underlying member method code with example usage: obj.test_numba_vs_cython_apply(jit, nogil, parallel, nopython, center, step) and returns: unknown