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authorEdoardo Pasca <edo.paskino@gmail.com>2019-03-21 16:23:58 +0000
committerEdoardo Pasca <edo.paskino@gmail.com>2019-03-21 16:24:02 +0000
commit4f4303a5d49e8d330442c74d710b98bd14bb78c0 (patch)
tree0e2977deeb2a168c72da675ba30ae16b744409f8
parent27ea6509eaa294529c86567bf50def2d27966bb7 (diff)
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add out
-rw-r--r--Wrappers/Python/ccpi/optimisation/functions/FunctionOperatorComposition.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/Wrappers/Python/ccpi/optimisation/functions/FunctionOperatorComposition.py b/Wrappers/Python/ccpi/optimisation/functions/FunctionOperatorComposition.py
index 3ac4358..34b7e35 100644
--- a/Wrappers/Python/ccpi/optimisation/functions/FunctionOperatorComposition.py
+++ b/Wrappers/Python/ccpi/optimisation/functions/FunctionOperatorComposition.py
@@ -37,17 +37,17 @@ class FunctionOperatorComposition(Function):
''' convex_conjugate does not take into account the Operator'''
return self.function.convex_conjugate(x)
- def proximal(self, x, tau):
+ def proximal(self, x, tau, out=None):
- ''' proximal does not take into account the Operator'''
+ '''proximal does not take into account the Operator'''
- return self.function.proximal(x, tau, out=None)
+ return self.function.proximal(x, tau, out=out)
def proximal_conjugate(self, x, tau, out=None):
''' proximal conjugate does not take into account the Operator'''
- return self.function.proximal_conjugate(x, tau)
+ return self.function.proximal_conjugate(x, tau, out=out)
def gradient(self, x, out=None):