Removed using namespace in header files

examples/VisualSLAMData.h

@@ -41,7 +41,7 @@ struct VisualSLAMExampleData {
 	std::vector<gtsam::Pose3> poses;          // ground-truth camera poses
 	gtsam::Pose3 odometry;								// ground-truth odometry between 2 consecutive poses (simulated data for iSAM)
 	std::vector<gtsam::Point3> points;     // ground-truth landmarks
-	std::map<int, vector<gtsam::Point2> > z;	// 2D measurements of landmarks in each camera frame
+	std::map<int, std::vector<gtsam::Point2> > z;	// 2D measurements of landmarks in each camera frame
 	gtsam::SharedDiagonal noiseZ; 			// measurement noise (noiseModel::Isotropic::Sigma(2, 5.0f));
 	gtsam::SharedDiagonal noiseX; 			// noise for camera poses
 	gtsam::SharedDiagonal noiseL; 			// noise for landmarks

gtsam/inference/ClusterTree-inl.h

@@ -61,8 +61,8 @@ namespace gtsam {
 		if (separator != other.separator) return false;
 		if (children_.size() != other.children_.size()) return false;
 
-		typename list<shared_ptr>::const_iterator it1 = children_.begin();
+		typename std::list<shared_ptr>::const_iterator it1 = children_.begin();
-		typename list<shared_ptr>::const_iterator it2 = other.children_.begin();
+		typename std::list<shared_ptr>::const_iterator it2 = other.children_.begin();
 		for (; it1 != children_.end(); it1++, it2++)
 			if (!(*it1)->equals(**it2)) return false;
 

gtsam/inference/graph-inl.h

@@ -42,7 +42,7 @@ public:
 
 /* ************************************************************************* */
 template<class KEY>
-list<KEY> predecessorMap2Keys(const PredecessorMap<KEY>& p_map) {
+std::list<KEY> predecessorMap2Keys(const PredecessorMap<KEY>& p_map) {
 
 	typedef typename SGraph<KEY>::Vertex SVertex;
 
@@ -102,7 +102,7 @@ SDGraph<KEY> toBoostGraph(const G& graph) {
 
 /* ************************************************************************* */
 template<class G, class V, class KEY>
-boost::tuple<G, V, map<KEY,V> >
+boost::tuple<G, V, std::map<KEY,V> >
 predecessorMap2Graph(const PredecessorMap<KEY>& p_map) {
 
 	G g;

gtsam/inference/tests/testBayesTree.cpp

@@ -30,6 +30,7 @@ using namespace boost::assign;
 #include <gtsam/inference/IndexFactor.h>
 #include <gtsam/inference/SymbolicSequentialSolver.h>
 
+using namespace std;
 using namespace gtsam;
 
 typedef BayesTree<IndexConditional> SymbolicBayesTree;

gtsam/inference/tests/testVariableIndex.cpp

@@ -22,6 +22,7 @@
 #include <gtsam/inference/VariableIndex.h>
 #include <gtsam/inference/SymbolicFactorGraph.h>
 
+using namespace std;
 using namespace gtsam;
 
 /* ************************************************************************* */

gtsam/linear/SimpleSPCGSolver.cpp

@@ -97,13 +97,13 @@ VectorValues::shared_ptr SimpleSPCGSolver::optimize (const VectorValues &initial
   double gamma = s.vector().squaredNorm(), new_gamma = 0.0, alpha = 0.0, beta = 0.0 ;
 
   const double threshold =
-            ::max(parameters_.epsilon_abs(),
+            std::max(parameters_.epsilon_abs(),
                   parameters_.epsilon() * parameters_.epsilon() * gamma);
   const size_t iMaxIterations = parameters_.maxIterations();
   const ConjugateGradientParameters::Verbosity verbosity = parameters_.cg_.verbosity();
 
   if ( verbosity >= ConjugateGradientParameters::ERROR )
-    cout << "[SimpleSPCGSolver] epsilon = " << parameters_.epsilon()
+    std::cout << "[SimpleSPCGSolver] epsilon = " << parameters_.epsilon()
          << ", max = " << parameters_.maxIterations()
          << ", ||r0|| = " << std::sqrt(gamma)
          << ", threshold = " << threshold << std::endl;
@@ -122,14 +122,14 @@ VectorValues::shared_ptr SimpleSPCGSolver::optimize (const VectorValues &initial
     gamma = new_gamma ;
 
     if ( verbosity >= ConjugateGradientParameters::ERROR) {
-      cout << "[SimpleSPCGSolver] iteration " << k << ": a = " << alpha << ": b = " << beta << ", ||r|| = " << std::sqrt(gamma) << endl;
+      std::cout << "[SimpleSPCGSolver] iteration " << k << ": a = " << alpha << ": b = " << beta << ", ||r|| = " << std::sqrt(gamma) << std::endl;
     }
 
     if ( gamma < threshold ) break ;
   } // k
 
   if ( verbosity >= ConjugateGradientParameters::ERROR )
-    cout << "[SimpleSPCGSolver] iteration " << k << ": a = " << alpha << ": b = " << beta << ", ||r|| = " << std::sqrt(gamma) << endl;
+    std::cout << "[SimpleSPCGSolver] iteration " << k << ": a = " << alpha << ": b = " << beta << ", ||r|| = " << std::sqrt(gamma) << std::endl;
 
   /* transform y back to x */
   return this->transform(*x);

gtsam/nonlinear/DoglegOptimizerImpl.cpp

@@ -18,6 +18,8 @@
 #include <cmath>
 #include <gtsam/nonlinear/DoglegOptimizerImpl.h>
 
+using namespace std;
+
 namespace gtsam {
 /* ************************************************************************* */
 VectorValues DoglegOptimizerImpl::ComputeDoglegPoint(

gtsam/nonlinear/Marginals.cpp

@@ -21,6 +21,8 @@
 #include <gtsam/linear/GaussianMultifrontalSolver.h>
 #include <gtsam/nonlinear/Marginals.h>
 
+using namespace std;
+
 namespace gtsam {
 
 /* ************************************************************************* */

gtsam_unstable/discrete/CSP.cpp

@@ -11,6 +11,8 @@
 #include <gtsam/base/Testable.h>
 #include <boost/foreach.hpp>
 
+using namespace std;
+
 namespace gtsam {
 
 	/// Find the best total assignment - can be expensive

gtsam_unstable/discrete/tests/testCSP.cpp

@@ -7,6 +7,8 @@
 
 #include <gtsam_unstable/discrete/CSP.h>
 #include <gtsam_unstable/discrete/Domain.h>
+#include <boost/assign/std/map.hpp>
+using boost::assign::insert;
 #include <CppUnitLite/TestHarness.h>
 #include <iostream>
 #include <fstream>

gtsam_unstable/discrete/tests/testSudoku.cpp

@@ -7,6 +7,8 @@
 
 #include <gtsam_unstable/discrete/CSP.h>
 #include <CppUnitLite/TestHarness.h>
+#include <boost/assign/std/map.hpp>
+using boost::assign::insert;
 #include <iostream>
 #include <sstream>
 #include <stdarg.h>

gtsam_unstable/dynamics/tests/testIMUSystem.cpp

@@ -7,6 +7,7 @@
 
 #include <gtsam_unstable/dynamics/imuSystem.h>
 
+using namespace std;
 using namespace gtsam;
 using namespace imu;