code: def forward_expected(self, inputs):
      # Naive implementation
      (x,) = inputs
      y_expect = numpy.zeros_like(x)
      for n, c, h, w in numpy.ndindex(x.shape):
          s = 0
          for i in six.moves.range(max(0, c - 2), min(7, c + 2)):
              s += x[n, i, h, w] ** 2
          denom = (2 + 1e-4 * s) ** 0.75
          y_expect[n, c, h, w] = x[n, c, h, w] / denom
      return (y_expect,)
  
file_path: chainer/tests/chainer_tests/functions_tests/normalization_tests/test_local_response_normalization.py
imports: import numpy
  import six
  from chainer import functions
  from chainer import testing
  from chainer.testing import backend
label_desc: Use image node_id 3 for calling the TestLocalResponseNormalization obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: y_expect