code: def test_axis(self, xp, scp):
      n, k = 22, 3
      t = xp.linspace(0, 1, n + k + 1)
      x = testing.shaped_random((3, 4, 5), xp)
  
      ret = []
      for ax in range(-4, 4):
          sh = [6, 7, 8]
          # We need the positive axis for some of the indexing and
          # slices used in this test.
          pos_axis = self.axis % 4
          sh.insert(pos_axis, n)  # [22, 6, 7, 8] etc
          c = testing.shaped_random(sh, xp)
          b = scp.interpolate.BSpline(t, c, k, axis=ax)
          ret.append(b(x))
  
      # -c.ndim <= axis < c.ndim
      for ax in [-c.ndim - 1, c.ndim]:
          scp.interpolate.BSpline(t, c, k, axis=ax)
  
      # derivative, antiderivative keeps the axis
      BSpline = scp.interpolate.BSpline
      for b1 in [
          BSpline(t, c, k, axis=self.axis).derivative(),
          BSpline(t, c, k, axis=self.axis).derivative(2),
          BSpline(t, c, k, axis=self.axis).antiderivative(),
          BSpline(t, c, k, axis=self.axis).antiderivative(2),
      ]:
          ret.append(b1.axis)
      return b1
  
imports: import pytest
  import inspect
  from cupy import testing
  from cupy_backends.cuda.api import driver
  from cupy_backends.cuda.api import runtime
  import numpy
  import cupyx.scipy.interpolate
label_desc: Use image node_id 27 for calling the TestBSpline obj's underlying member method code with example usage: obj.test_axis(xp, scp) and returns: b1