old_contents: import numpy
  
  from chainer import cuda
  from chainer import function
  from chainer import utils
  from chainer.utils import type_check
  
  
  class Clip(function.Function):
      """Clips (limits) elements of input variable."""
  
      def __init__(self, x_min, x_max):
          if not isinstance(x_min, float):
              raise TypeError('x_min must be float value')
          if not isinstance(x_max, float):
              raise TypeError('x_max must be float value')
          # x_min must be lesser than x_max.
          assert x_min < x_max
          self.x_min = x_min
          self.x_max = x_max
  
      def check_type_forward(self, in_types):
          type_check.expect(in_types.size() == 1)
          x_type, = in_types
          type_check.expect(x_type.dtype == numpy.float32)
  
      def forward_cpu(self, x):
          return utils.force_array(
              numpy.clip(x[0], self.x_min, self.x_max)
          ).astype(numpy.float32),
  
      def backward_cpu(self, x, gy):
          return utils.force_array(
              gy[0] * (self.x_min < x[0]) * (x[0] < self.x_max)
          ).astype(numpy.float32),
  
      def forward_gpu(self, x):
          return cuda.clip(x[0], self.x_min, self.x_max),
  
      def backward_gpu(self, x, gy):
          gx = cuda.elementwise(
              'T x, T gy, T x_min, T x_max', 'T gx',
              'gx = ((x > x_min) & (x < x_max)) ? gy : 0',
              'clip_bwd')(x[0], gy[0], self.x_min, self.x_max)
          return gx,
  
  
  def clip(x, x_min, x_max):
      """Clips (limits) elements of input variable.
  
      Given an interval ``[x_min, xmax]``, elements outside the interval are
      clipped to the interval edges.
  
      Args:
          x (~chainer.Variable): Input variable to be clipped.
          x_min (float): Minimum value.
          x_max (float): Maximum value.
  
      Returns:
          ~chainer.Variable: Output variable.
  
      """
      return Clip(x_min, x_max)(x)
  
new_contents: import numpy
  
  from chainer import cuda
  from chainer import function
  from chainer import utils
  from chainer.utils import type_check
  
  
  class Clip(function.Function):
      """Clips (limits) elements of input variable."""
  
      def __init__(self, x_min, x_max):
          if not isinstance(x_min, float):
              raise TypeError('x_min must be float value')
          if not isinstance(x_max, float):
              raise TypeError('x_max must be float value')
          # x_min must be lesser than x_max.
          assert x_min < x_max
          self.x_min = x_min
          self.x_max = x_max
  
      def check_type_forward(self, in_types):
          type_check.expect(in_types.size() == 1)
          x_type, = in_types
          type_check.expect(x_type.dtype == numpy.float32)
  
      def forward_cpu(self, x):
          return utils.force_array(
              numpy.clip(x[0], self.x_min, self.x_max)
          ).astype(numpy.float32),
  
      def backward_cpu(self, x, gy):
          return utils.force_array(
              gy[0] * (self.x_min < x[0]) * (x[0] < self.x_max)
          ).astype(numpy.float32),
  
      def forward_gpu(self, x):
          return cuda.cupy.clip(x[0], self.x_min, self.x_max),
  
      def backward_gpu(self, x, gy):
          gx = cuda.elementwise(
              'T x, T gy, T x_min, T x_max', 'T gx',
              'gx = ((x > x_min) & (x < x_max)) ? gy : 0',
              'clip_bwd')(x[0], gy[0], self.x_min, self.x_max)
          return gx,
  
  
  def clip(x, x_min, x_max):
      """Clips (limits) elements of input variable.
  
      Given an interval ``[x_min, xmax]``, elements outside the interval are
      clipped to the interval edges.
  
      Args:
          x (~chainer.Variable): Input variable to be clipped.
          x_min (float): Minimum value.
          x_max (float): Maximum value.
  
      Returns:
          ~chainer.Variable: Output variable.
  
      """
      return Clip(x_min, x_max)(x)
  
subject: Fix module name.