code: def _test_non_randomness(self, xp):
      # Noises should be the same in a batch
      x0 = xp.random.standard_normal((1, 6)).astype(numpy.float32)
      x = xp.broadcast_to(x0, (2, 6))
      y = self.linear(x).array
      xp.testing.assert_allclose(y[0], y[1], rtol=1e-4)
  
imports: import unittest
  import chainer
  from chainer import cuda
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import condition
  import numpy
  from chainerrl.links import noisy_linear
label_desc: Use image node_id 9 for calling the TestFactorizedNoisyLinear obj's underlying member method code with example usage: obj._test_non_randomness(xp) without return types