code: def forward_expected(self, inputs):
      x, W = inputs
      if self.ignore_label is not None:
          mask = x == self.ignore_label
          return (
              numpy.where(
                  mask[..., None], 0, W[numpy.where(mask, 0, x)]
              ),
          )
      return (W[x],)
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer.functions.connection import embed_id
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import backend
label_desc: Use image node_id 4 for calling the TestEmbedID obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: W, numpy