Make gradient of gaussian real

nifty5/library/gaussian_energy.py

@@ -61,7 +61,7 @@ class GaussianEnergy(Energy):
     @property
     @memo
     def gradient(self):
-        return self._inp.jacobian.adjoint_times(self._icovres)
+        return self._inp.jacobian.adjoint_times(self._icovres).real
 
     @property
     @memo

nifty5/operators/power_distributor.py

@@ -62,10 +62,4 @@ class PowerDistributor(DOFDistributor):
 
     def apply(self, x, mode):
         self._check_input(x, mode)
-        if x.dtype == np.complex:
-            if x.imag.sum() == 0:
-                x = x.real
-            else:
-                print('Warning: Assume real in PowerDistributor.')
-                x = x.real
         return DOFDistributor.apply(self, x, mode)