nor more need for process_sample()

nifty4/operators/chain_operator.py

@@ -114,9 +114,3 @@ class ChainOperator(LinearOperator):
         for op in t_ops:
             x = op.apply(x, mode)
         return x
-
-    def draw_sample(self, dtype=np.float64):
-        sample = self._ops[-1].draw_sample(dtype)
-        for op in reversed(self._ops[:-1]):
-            sample = op.process_sample(sample)
-        return sample

nifty4/operators/diagonal_operator.py

@@ -172,14 +172,6 @@ class DiagonalOperator(EndomorphicOperator):
         res._ldiag = self._ldiag.conjugate()
         return res
 
-    def process_sample(self, sample):
-        if np.issubdtype(self._ldiag.dtype, np.complexfloating):
-            raise ValueError("cannot draw sample from complex-valued operator")
-
-        res = Field.empty_like(sample)
-        res.local_data[()] = sample.local_data * np.sqrt(self._ldiag)
-        return res
-
     def draw_sample(self, dtype=np.float64):
         if (np.issubdtype(self._ldiag.dtype, np.complexfloating) or
                 (self._ldiag <= 0.).any()):

nifty4/operators/scaling_operator.py

@@ -95,11 +95,6 @@ class ScalingOperator(EndomorphicOperator):
             return self.TIMES | self.ADJOINT_TIMES
         return self._all_ops
 
-    def process_sample(self, sample):
-        if self._factor.imag != 0. or self._factor.real <= 0.:
-            raise ValueError("Operator not positive definite")
-        return sample * np.sqrt(self._factor)
-
     def _sample_helper(self, fct, dtype):
         if fct.imag != 0. or fct.real <= 0.:
             raise ValueError("operator not positive definite")