code: def test_get_output_for_non_deterministic(self, layer):
      input = theano.shared(numpy.ones((100, 100)))
      result = layer.get_output_for(input)
      result_eval = result.eval()
      assert 0.9 < result_eval.mean() < 1.1
      assert (numpy.unique(result_eval) == [0.0, 2.0]).all()
  
imports: from mock import Mock
  import numpy
  import numpy
  from numpy.random import RandomState
  import theano
  import pytest
  from lasagne.random import get_rng, set_rng
label_desc: Use image node_id 5 for calling the TestDropoutLayer obj's underlying member method code with example usage: obj.test_get_output_for_non_deterministic(layer) without return types