code: def test_low_eq_high(self, RandomizedRectifierLayer):
      input = np.ones((3, 3, 28, 28)).astype(theano.config.floatX) * -1
      layer = RandomizedRectifierLayer(
          input.shape, lower=0.5, upper=0.5
      )
      out = layer.get_output_for(theano.tensor.constant(input)).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 4 for calling the TestRandomizedRectifierLayer obj's underlying member method code with example usage: obj.test_low_eq_high(RandomizedRectifierLayer) without return types