def setup_method(self, method):
np.random.seed(1)
axes = np.array([[100 * np.random.random() + np.arange(0., 600, 1)
for i in range(3)] for j in range(4)])
g = Gaussian()
g.A.value = 30000.
g.centre.value = 300.
g.sigma.value = 150.
data = g.function(axes)
s = Signal1D(data)
s.axes_manager[-1].offset = -150.
s.axes_manager[-1].scale = 0.5
s.add_gaussian_noise(2.0)
m = s.create_model()
g = Gaussian()
g.A.ext_force_positive = True
g.A.ext_bounded = True
m.append(g)
g.active_is_multidimensional = True
for index in m.axes_manager:
m.fit()
self.model = m
