code: def test_get_output_for_deterministic(self, layer):
      input = theano.shared(numpy.ones((100, 100)))
      result = layer.get_output_for(input, deterministic=True)
      result_eval = result.eval()
      assert (result_eval == input.get_value()).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 6 for calling the TestDropoutLayer obj's underlying member method code with example usage: obj.test_get_output_for_deterministic(layer) without return types