def a_priori_shape(t):
transformation = Atanh()
transformation.z_max = 1.2
transformation.z_min = 0.0
x = np.maximum(np.minimum(0.7 - (270 - t) / 100.0, 0.7), 0.2)
x = 0.5 * np.ones(t.shape)
return transformation(x)
def a_priori_shape(t):
transformation = Atanh()
transformation.z_max = upper_limit
transformation.z_min = lower_limit
x = np.maximum(np.minimum(0.8 - (270 - t) / 100.0, 0.7), 0.1)
return transformation(x)
def a_priori_shape(t):
transformation = Atanh()
transformation.z_max = 1.1
transformation.z_min = 0.0
x = np.maximum(np.minimum(0.5 - (270 - t) / 100.0, 0.5), 0.1)
return transformation(x)