code: def test_expectedoutputnull_raise_exception_when_notnull(tmpdir):
      data_inputs = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
      expected_outputs = data_inputs * 2
  
      p = Pipeline([AssertExpectedOutputIsNone()])
  
      with pytest.raises(AssertionError) as error_info:
          p.fit_transform(data_inputs, expected_outputs)
  
imports: from unittest import TestCase
  import numpy
  import pytest
  from neuraxle.base import AssertExpectedOutputIsNone, BaseStep
  from neuraxle.base import ExecutionContext
  from neuraxle.base import ExecutionPhase, HandleOnlyMixin, NonFittableMixin
  from neuraxle.data_container import DataContainer
  from neuraxle.pipeline import Pipeline
label_desc: Use image node_id 1 for calling a global function with example usage: test_expectedoutputnull_raise_exception_when_notnull(tmpdir) without return types