def test_launch(self): """ Check that all required keys are present in output from BrainViewer launch. """ time_series = self.datatypeFactory.create_timeseries(self.connectivity) cross_coherence = self.datatypeFactory.create_crosscoherence(time_series) viewer = CrossCoherenceVisualizer() result = viewer.launch(cross_coherence) expected_keys = ['matrix_data', 'matrix_shape', 'matrix_strides', 'frequency'] for key in expected_keys: self.assertTrue(key in result)
def test_launch(self, cross_coherence_factory): """ Check that all required keys are present in output from BrainViewer launch. """ cross_coherence_index = cross_coherence_factory() viewer = CrossCoherenceVisualizer() view_model = viewer.get_view_model_class()() view_model.datatype = cross_coherence_index.gid result = viewer.launch(view_model) expected_keys = ['matrix_data', 'matrix_shape', 'frequency'] for key in expected_keys: assert key in result
def test_launch(self): """ Check that all required keys are present in output from BrainViewer launch. """ time_series = self.datatypeFactory.create_timeseries(self.connectivity) cross_coherence = self.datatypeFactory.create_crosscoherence( time_series) viewer = CrossCoherenceVisualizer() result = viewer.launch(cross_coherence) expected_keys = ['matrix_data', 'matrix_shape', 'frequency'] for key in expected_keys: self.assertTrue(key in result)