code: def test_oneminusoneovern(self):
      # Check derivative at x=1-1/n
      n = np.arange(1, 20)
      x = 1.0 / n
      xm1 = 1 - 1.0 / n
      pp1 = -n * x ** (n - 1)
      pp1 -= (
          1 - np.sign(n - 2) ** 2
      ) * 0.5  # n=2, x=0.5, 1-1/n = 0.5, need to adjust
      dataset1 = np.column_stack([n, xm1, pp1])
      FuncData(_smirnovp, dataset1, (0, 1), 2, rtol=_rtol).check(
          dtypes=[int, float, float]
      )
  
imports: import itertools
  import sys
  import pytest
  import numpy
  from numpy.testing import assert_
  from scipy.special._testutils import FuncData
  from scipy.special import kolmogorov, kolmogi, smirnov, smirnovi
  from scipy.special._ufuncs import _kolmogc, _kolmogci, _kolmogp, _smirnovc, _smirnovci, _smirnovp
label_desc: Use image node_id 3 for calling the TestSmirnovp obj's underlying member method code with example usage: obj.test_oneminusoneovern() without return types