code: def test_deterministic(self, RandomizedRectifierLayer):
      input = np.ones((3, 3, 28, 28)).astype(theano.config.floatX) * -1
      layer = RandomizedRectifierLayer(
          input.shape, lower=0.4, upper=0.6
      )
      out = layer.get_output_for(
          theano.tensor.constant(input), deterministic=True
      ).eval()
      assert np.allclose(out, -0.5)
  
imports: from mock import Mock
  import numpy
  import pytest
  import theano
  from lasagne.layers import InputLayer, standardize, get_output, get_all_params
  from lasagne.utils import floatX
label_desc: Use image node_id 5 for calling the TestRandomizedRectifierLayer obj's underlying member method code with example usage: obj.test_deterministic(RandomizedRectifierLayer) without return types