code: def forward_expected(self, inputs):
      expander = (None, Ellipsis) + (None,) * self.ndim
  
      x_arr, gamma_arr, beta_arr, mean_arr, var_arr = inputs
      x = chainer.Variable(x_arr)
      gamma = chainer.Variable(gamma_arr[expander])
      beta = chainer.Variable(beta_arr[expander])
  
      y = _naive_batch_renormalization(
          x,
          gamma,
          beta,
          chainer.Variable(mean_arr[expander]),
          chainer.Variable(var_arr[expander]),
          mean_arr[expander],
          var_arr[expander],
          1,
          0,
          self.eps,
          None,
      )
      return (y.array,)
  
imports: import numpy
  import six
  import chainer
  from chainer.functions.normalization import batch_renormalization
  from chainer import testing
  import chainerx
label_desc: Use image node_id 4 for calling the TestFixedBatchRenormalization obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: y