Merge pull request #152 from jcarpent/devel

Fix issues for Windows

Author: jcarpent

python/main.cpp

@@ -51,10 +51,7 @@ BOOST_PYTHON_MODULE(eigenpy)
             "Returns True if A is approximately equal to B, within the precision determined by prec.");
     bp::def("is_approx",(bool (*)(const MatrixXd &, const MatrixXd &))&is_approx<MatrixXd,MatrixXd>,
             bp::args("A","B"),
-    "Returns True if A is approximately equal to B..");
-    
-//    EXPOSE_IS_APPROX(MatrixXd);
-//    EXPOSE_IS_APPROX(MatrixXf);
+            "Returns True if A is approximately equal to B.");
   }
 
   exposeDecompositions();

src/decompositions/decompositions.cpp

@@ -5,6 +5,8 @@
 #include <boost/python.hpp>
 #include <Eigen/Core>
 
+#include "eigenpy/decompositions/decompositions.hpp"
+
 #include "eigenpy/decompositions/EigenSolver.hpp"
 #include "eigenpy/decompositions/SelfAdjointEigenSolver.hpp"
 #include "eigenpy/decompositions/LLT.hpp"
@@ -17,13 +19,12 @@ namespace eigenpy
     using namespace Eigen;
     namespace bp = boost::python;
 
-    EigenSolverVisitor<Eigen::MatrixXd>::expose("EigenSolver");
-    SelfAdjointEigenSolverVisitor<Eigen::MatrixXd>::expose("SelfAdjointEigenSolver");
-    LLTSolverVisitor<Eigen::MatrixXd>::expose("LLT");
-    LDLTSolverVisitor<Eigen::MatrixXd>::expose("LDLT");
+    EigenSolverVisitor<MatrixXd>::expose("EigenSolver");
+    SelfAdjointEigenSolverVisitor<MatrixXd>::expose("SelfAdjointEigenSolver");
+    LLTSolverVisitor<MatrixXd>::expose("LLT");
+    LDLTSolverVisitor<MatrixXd>::expose("LDLT");
 
     {
-      using namespace Eigen;
       bp::enum_<DecompositionOptions>("DecompositionOptions")
       .value("ComputeFullU",ComputeFullU)
       .value("ComputeThinU",ComputeThinU)