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)