[opengm] 144/386: breaks all tests. Revert "removed wrapped functions which will not work anyway..."

[Ghislain Vaillant]

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ghisvail-guest pushed a commit to branch debian/master
in repository opengm.

commit ae95a4db31154f139b511c4883d74fad65fbaf41
Author: mschiegg <martin.schiegg at iwr.uni-heidelberg.de>
Date:   Fri Dec 19 10:06:43 2014 +0100

    breaks all tests. Revert "removed wrapped functions which will not work anyway..."
    
    This reverts commit 5978404d061a6704898ec078785ced4dc48492c8.
---
 src/interfaces/python/opengm/learning/pyLoss.cxx | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/src/interfaces/python/opengm/learning/pyLoss.cxx b/src/interfaces/python/opengm/learning/pyLoss.cxx
index 84a89f9..72aa8c5 100644
--- a/src/interfaces/python/opengm/learning/pyLoss.cxx
+++ b/src/interfaces/python/opengm/learning/pyLoss.cxx
@@ -38,18 +38,18 @@ void export_loss(){
     typedef opengm::learning::GeneralizedHammingLoss::Parameter PyGeneralizedHammingLossParameter;
 
     class_<PyHammingLoss >("HammingLoss")
-        //.def("loss", &PyHammingLoss::loss<const GM &, Literator,Literator>)
-        //.def("addLoss", &PyHammingLoss::addLoss<GM, Literator>)
+        .def("loss", &PyHammingLoss::loss<const GM &, Literator,Literator>)
+        .def("addLoss", &PyHammingLoss::addLoss<GM, Literator>)
     ;
 
     class_<PyNoLoss >("NoLoss")
-        //.def("loss", &PyNoLoss::loss<const GM &,Literator,Literator>)
-        //.def("addLoss", &PyNoLoss::addLoss<GM, Literator>)
+        .def("loss", &PyNoLoss::loss<const GM &,Literator,Literator>)
+        .def("addLoss", &PyNoLoss::addLoss<GM, Literator>)
     ;
 
     class_<PyGeneralizedHammingLoss >("GeneralizedHammingLoss", init<PyGeneralizedHammingLossParameter>())
-        //.def("loss", &PyGeneralizedHammingLoss::loss<const GM &,Literator,Literator>)
-        //.def("addLoss", &PyGeneralizedHammingLoss::addLoss<GM, Literator>)
+        .def("loss", &PyGeneralizedHammingLoss::loss<const GM &,Literator,Literator>)
+        .def("addLoss", &PyGeneralizedHammingLoss::addLoss<GM, Literator>)
     ;
 
 

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