code: def forward_expected(self, inputs):
      (x,) = inputs
      r = self.r.astype(self.dtype)
      if self.train:
          expected = numpy.where(x >= 0, x, x * r)
      else:
          r_test = numpy.mean([self.l, self.u]).astype(self.dtype)
          expected = numpy.where(x >= 0, x, x * r_test)
      return (expected,)
  
file_path: chainer/tests/chainer_tests/functions_tests/activation_tests/test_rrelu.py
imports: import unittest
  import numpy
  import chainer
  from chainer import cuda
  from chainer import functions
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 4 for calling the TestRReLU obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: expected