diff options
Diffstat (limited to 'Wrappers/Python')
| -rw-r--r-- | Wrappers/Python/ccpi/optimisation/operators/ZeroOperator.py | 26 |
1 files changed, 15 insertions, 11 deletions
diff --git a/Wrappers/Python/ccpi/optimisation/operators/ZeroOperator.py b/Wrappers/Python/ccpi/optimisation/operators/ZeroOperator.py index a7c5f09..d5fd8ae 100644 --- a/Wrappers/Python/ccpi/optimisation/operators/ZeroOperator.py +++ b/Wrappers/Python/ccpi/optimisation/operators/ZeroOperator.py @@ -8,32 +8,36 @@ Created on Wed Mar 6 19:25:53 2019 import numpy as np from ccpi.framework import ImageData -from ccpi.optimisation.operators import Operator +from ccpi.optimisation.operators import LinearOperator -class ZeroOp(Operator): +class ZeroOperator(LinearOperator): - def __init__(self, gm_domain, gm_range): + def __init__(self, gm_domain, gm_range=None): + self.gm_domain = gm_domain - self.gm_range = gm_range - super(ZeroOp, self).__init__() + self.gm_range = gm_range + if self.gm_range is None: + self.gm_range = self.gm_domain + + super(ZeroOperator, self).__init__() def direct(self,x,out=None): if out is None: - return ImageData(np.zeros(self.gm_range)) + return self.gm_range.allocate() else: - return ImageData(np.zeros(self.gm_range)) + return self.gm_range.allocate() def adjoint(self,x, out=None): if out is None: - return ImageData(np.zeros(self.gm_domain)) + return self.gm_domain.allocate() else: - return ImageData(np.zeros(self.gm_domain)) + return self.gm_domain.allocate() def norm(self): return 0 - def domain_dim(self): + def domain_geometry(self): return self.gm_domain - def range_dim(self): + def range_geometry(self): return self.gm_range
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