code: def test_get_output_for_p_02(self, layer_p_02):
      input = theano.shared(numpy.ones((100, 100)))
      result = layer_p_02.get_output_for(input)
      result_eval = result.eval()
      assert 0.9 < result_eval.mean() < 1.1
      assert (
          numpy.round(numpy.unique(result_eval), 2) == [0.0, 1.25]
      ).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 9 for calling the TestDropoutLayer obj's underlying member method code with example usage: obj.test_get_output_for_p_02(layer_p_02) without return types