code: def forward_expected(self, inputs):
      if len(inputs) == 3:
          x, w, b = inputs
      else:
          (x, w), b = inputs, None
  
      n_batch_axes = self.n_batch_axes
      x_shape = self.x_shape
      w_shape = self.w_shape
      out_dtype = self.out_dtype
  
      if n_batch_axes is Unspecified:
          n_batch_axes = 1
      y_shape = x_shape[:n_batch_axes] + (w_shape[0],)
      x_ = x.reshape(
          numpy.prod(x_shape[:n_batch_axes]),
          numpy.prod(x_shape[n_batch_axes:]),
      )
      x_ = x_.astype(out_dtype)
      w_ = w.astype(out_dtype)
      y = x_.dot(w_.T).reshape(y_shape)
      if b is not None:
          y += b
  
      assert y.dtype == out_dtype
      return (y,)
  
imports: import unittest
  import chainer
  from chainer import functions
  import numpy
  import pytest
  import chainerx
  from chainerx_tests import array_utils
  from chainerx_tests import dtype_utils
  from chainerx_tests import op_utils
label_desc: Use image node_id 4 for calling the TestLinear obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: y