def test_decomposition(normalise_poissonian_noise):
s = EDSTEMSpectrum(np.ones(shape=(32, 32, 1024)))
s.add_poissonian_noise()
# default uses `vacuum_mask`
s.decomposition(normalise_poissonian_noise)
# test with numpy array mask
mask = s.vacuum_mask().data
s.decomposition(normalise_poissonian_noise, navigation_mask=mask)
def setup_method(self, method):
s = EDSTEMSpectrum(np.array([np.linspace(0.001, 0.5, 20)] * 100).T)
s.add_poissonian_noise()
self.signal = s
def setup_method(self, method):
s = EDSTEMSpectrum(np.array([np.linspace(0.001, 0.5, 20)] * 100).T)
s.add_poissonian_noise()
self.signal = s
