code: def test_get_output_for_shared_axes(self, shared_axes):
      from lasagne.layers.noise import DropoutLayer
  
      layer = DropoutLayer((2, 4, 7, 9), shared_axes=shared_axes)
      input = theano.shared(numpy.ones((2, 4, 7, 9)))
      result = layer.get_output_for(input)
      result_eval = result.eval()
      # check if the dropout mask is the same across the specified axes:
      # compute the mean across these axes and compare against the full
      # output, broadcasting across the shared axes, to see if it matches
      assert np.allclose(
          result_eval.mean(axis=shared_axes, keepdims=True), result_eval
      )
  
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 12 for calling the TestDropoutLayer obj's underlying member method code with example usage: obj.test_get_output_for_shared_axes(shared_axes) without return types