code: def setUp(self):
      self.x = numpy.random.uniform(-3, 3, self.shape).astype(
          self.dtype
      )
      # Avoid values around x_min and x_max for stability of numerical
      # gradient
      x_min, x_max = self.x_min_max
      x_min = float(x_min) if x_min is not None else self.x.min()
      x_max = float(x_max) if x_max is not None else self.x.max()
      eps = 0.01
      for ind in numpy.ndindex(self.x.shape):
          if x_min - eps < self.x[ind] < x_min + eps:
              self.x[ind] = -0.5
          elif x_max - eps < self.x[ind] < x_max + eps:
              self.x[ind] = 0.5
      self.gy = numpy.random.uniform(-1, 1, self.shape).astype(
          self.dtype
      )
      self.ggx = numpy.random.uniform(-1, 1, self.shape).astype(
          self.dtype
      )
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 1 for calling the TestClip obj's underlying member method code with example usage: obj.setUp() without return types