assign default variables for string in print()
Varun Agrawal
parent
b53657a48f
commit
d0d8f48039
132
gtsam/gtsam.i
132
gtsam/gtsam.i
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@ -47,7 +47,7 @@ class KeySet {
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KeySet(const gtsam::KeyList& list);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::KeySet& other) const;
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// common STL methods
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@ -221,7 +221,7 @@ virtual class Value {
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// No constructors because this is an abstract class
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// Testable
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void print(string s) const;
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void print(string s="") const;
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// Manifold
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size_t dim() const;
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@ -245,7 +245,7 @@ class Point2 {
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Point2(Vector v);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::Point2& point, double tol) const;
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// Group
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@ -298,7 +298,7 @@ class StereoPoint2 {
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StereoPoint2(double uL, double uR, double v);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::StereoPoint2& point, double tol) const;
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// Group
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@ -342,7 +342,7 @@ class Point3 {
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Point3(Vector v);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::Point3& p, double tol) const;
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// Group
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@ -379,7 +379,7 @@ class Rot2 {
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static gtsam::Rot2 fromCosSin(double c, double s);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::Rot2& rot, double tol) const;
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// Group
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@ -430,7 +430,7 @@ class SO3 {
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static gtsam::SO3 ClosestTo(const Matrix M);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::SO3& other, double tol) const;
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// Group
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@ -460,7 +460,7 @@ class SO4 {
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static gtsam::SO4 FromMatrix(Matrix R);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::SO4& other, double tol) const;
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// Group
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@ -490,7 +490,7 @@ class SOn {
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static gtsam::SOn Lift(size_t n, Matrix R);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::SOn& other, double tol) const;
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// Group
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@ -551,7 +551,7 @@ class Rot3 {
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static gtsam::Rot3 ClosestTo(const Matrix M);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::Rot3& rot, double tol) const;
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// Group
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@ -608,7 +608,7 @@ class Pose2 {
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Pose2(Vector v);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::Pose2& pose, double tol) const;
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// Group
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@ -668,7 +668,7 @@ class Pose3 {
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Pose3(Matrix mat);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::Pose3& pose, double tol) const;
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// Group
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@ -744,7 +744,7 @@ class Unit3 {
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Unit3(const gtsam::Point3& pose);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::Unit3& pose, double tol) const;
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// Other functionality
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@ -774,7 +774,7 @@ class EssentialMatrix {
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EssentialMatrix(const gtsam::Rot3& aRb, const gtsam::Unit3& aTb);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::EssentialMatrix& pose, double tol) const;
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// Manifold
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@ -799,7 +799,7 @@ class Cal3_S2 {
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Cal3_S2(double fov, int w, int h);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::Cal3_S2& rhs, double tol) const;
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// Manifold
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@ -836,7 +836,7 @@ virtual class Cal3DS2_Base {
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Cal3DS2_Base();
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// Testable
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void print(string s) const;
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void print(string s="") const;
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// Standard Interface
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double fx() const;
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@ -922,7 +922,7 @@ class Cal3_S2Stereo {
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Cal3_S2Stereo(Vector v);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::Cal3_S2Stereo& K, double tol) const;
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// Standard Interface
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@ -943,7 +943,7 @@ class Cal3Bundler {
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Cal3Bundler(double fx, double k1, double k2, double u0, double v0, double tol);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::Cal3Bundler& rhs, double tol) const;
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// Manifold
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@ -983,7 +983,7 @@ class CalibratedCamera {
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static gtsam::CalibratedCamera Level(const gtsam::Pose2& pose2, double height);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::CalibratedCamera& camera, double tol) const;
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// Manifold
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@ -1022,7 +1022,7 @@ class PinholeCamera {
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const gtsam::Point3& upVector, const CALIBRATION& K);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const This& camera, double tol) const;
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// Standard Interface
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@ -1097,7 +1097,7 @@ class StereoCamera {
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StereoCamera(const gtsam::Pose3& pose, const gtsam::Cal3_S2Stereo* K);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::StereoCamera& camera, double tol) const;
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// Standard Interface
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@ -1160,7 +1160,7 @@ virtual class SymbolicFactor {
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// From Factor
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size_t size() const;
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::SymbolicFactor& other, double tol) const;
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gtsam::KeyVector keys();
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};
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@ -1173,7 +1173,7 @@ virtual class SymbolicFactorGraph {
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// From FactorGraph
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void push_back(gtsam::SymbolicFactor* factor);
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::SymbolicFactorGraph& rhs, double tol) const;
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size_t size() const;
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bool exists(size_t idx) const;
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@ -1223,7 +1223,7 @@ virtual class SymbolicConditional : gtsam::SymbolicFactor {
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static gtsam::SymbolicConditional FromKeys(const gtsam::KeyVector& keys, size_t nrFrontals);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::SymbolicConditional& other, double tol) const;
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// Standard interface
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@ -1236,7 +1236,7 @@ class SymbolicBayesNet {
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SymbolicBayesNet();
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SymbolicBayesNet(const gtsam::SymbolicBayesNet& other);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::SymbolicBayesNet& other, double tol) const;
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// Standard interface
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@ -1257,7 +1257,7 @@ class SymbolicBayesTree {
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SymbolicBayesTree(const gtsam::SymbolicBayesTree& other);
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// Testable
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void print(string s);
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void print(string s="");
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bool equals(const gtsam::SymbolicBayesTree& other, double tol) const;
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//Standard Interface
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@ -1279,7 +1279,7 @@ class SymbolicBayesTree {
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// SymbolicBayesTreeClique(const pair<typename ConditionalType::shared_ptr, typename ConditionalType::FactorType::shared_ptr>& result) : Base(result) {}
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//
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// bool equals(const This& other, double tol) const;
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// void print(string s) const;
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// void print(string s="") const;
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// void printTree() const; // Default indent of ""
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// void printTree(string indent) const;
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// size_t numCachedSeparatorMarginals() const;
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@ -1313,7 +1313,7 @@ class VariableIndex {
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// Testable
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bool equals(const gtsam::VariableIndex& other, double tol) const;
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void print(string s) const;
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void print(string s="") const;
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// Standard interface
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size_t size() const;
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@ -1328,7 +1328,7 @@ class VariableIndex {
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namespace noiseModel {
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#include <gtsam/linear/NoiseModel.h>
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virtual class Base {
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void print(string s) const;
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void print(string s="") const;
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// Methods below are available for all noise models. However, can't add them
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// because wrap (incorrectly) thinks robust classes derive from this Base as well.
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// bool isConstrained() const;
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@ -1411,7 +1411,7 @@ virtual class Unit : gtsam::noiseModel::Isotropic {
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namespace mEstimator {
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virtual class Base {
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void print(string s) const;
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void print(string s="") const;
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};
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virtual class Null: gtsam::noiseModel::mEstimator::Base {
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@ -1551,7 +1551,7 @@ class VectorValues {
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size_t size() const;
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size_t dim(size_t j) const;
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bool exists(size_t j) const;
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::VectorValues& expected, double tol) const;
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void insert(size_t j, Vector value);
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Vector vector() const;
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@ -1582,7 +1582,7 @@ class VectorValues {
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#include <gtsam/linear/GaussianFactor.h>
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virtual class GaussianFactor {
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gtsam::KeyVector keys() const;
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::GaussianFactor& lf, double tol) const;
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double error(const gtsam::VectorValues& c) const;
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gtsam::GaussianFactor* clone() const;
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@ -1610,7 +1610,7 @@ virtual class JacobianFactor : gtsam::GaussianFactor {
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JacobianFactor(const gtsam::GaussianFactorGraph& graph);
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//Testable
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void print(string s) const;
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void print(string s="") const;
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void printKeys(string s) const;
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bool equals(const gtsam::GaussianFactor& lf, double tol) const;
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size_t size() const;
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@ -1659,7 +1659,7 @@ virtual class HessianFactor : gtsam::GaussianFactor {
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//Testable
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size_t size() const;
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void print(string s) const;
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void print(string s="") const;
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void printKeys(string s) const;
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bool equals(const gtsam::GaussianFactor& lf, double tol) const;
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double error(const gtsam::VectorValues& c) const;
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@ -1684,7 +1684,7 @@ class GaussianFactorGraph {
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GaussianFactorGraph(const gtsam::GaussianBayesTree& bayesTree);
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// From FactorGraph
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::GaussianFactorGraph& lfgraph, double tol) const;
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size_t size() const;
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gtsam::GaussianFactor* at(size_t idx) const;
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@ -1775,7 +1775,7 @@ virtual class GaussianConditional : gtsam::JacobianFactor {
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size_t name2, Matrix T);
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//Standard Interface
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::GaussianConditional &cg, double tol) const;
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//Advanced Interface
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@ -1797,7 +1797,7 @@ virtual class GaussianDensity : gtsam::GaussianConditional {
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GaussianDensity(size_t key, Vector d, Matrix R, const gtsam::noiseModel::Diagonal* sigmas);
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//Standard Interface
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::GaussianDensity &cg, double tol) const;
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Vector mean() const;
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Matrix covariance() const;
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@ -1810,7 +1810,7 @@ virtual class GaussianBayesNet {
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GaussianBayesNet(const gtsam::GaussianConditional* conditional);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::GaussianBayesNet& other, double tol) const;
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size_t size() const;
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@ -1845,7 +1845,7 @@ virtual class GaussianBayesTree {
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GaussianBayesTree();
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GaussianBayesTree(const gtsam::GaussianBayesTree& other);
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bool equals(const gtsam::GaussianBayesTree& other, double tol) const;
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void print(string s);
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void print(string s="");
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size_t size() const;
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bool empty() const;
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size_t numCachedSeparatorMarginals() const;
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@ -1871,7 +1871,7 @@ class Errors {
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Errors(const gtsam::VectorValues& V);
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//Testable
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void print(string s);
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void print(string s="");
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bool equals(const gtsam::Errors& expected, double tol) const;
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};
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@ -1927,7 +1927,7 @@ virtual class DummyPreconditionerParameters : gtsam::PreconditionerParameters {
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#include <gtsam/linear/PCGSolver.h>
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virtual class PCGSolverParameters : gtsam::ConjugateGradientParameters {
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PCGSolverParameters();
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void print(string s);
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void print(string s="");
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void setPreconditionerParams(gtsam::PreconditionerParameters* preconditioner);
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};
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@ -1948,7 +1948,7 @@ class KalmanFilter {
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KalmanFilter(size_t n);
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// gtsam::GaussianDensity* init(Vector x0, const gtsam::SharedDiagonal& P0);
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gtsam::GaussianDensity* init(Vector x0, Matrix P0);
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void print(string s) const;
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void print(string s="") const;
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static size_t step(gtsam::GaussianDensity* p);
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gtsam::GaussianDensity* predict(gtsam::GaussianDensity* p, Matrix F,
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Matrix B, Vector u, const gtsam::noiseModel::Diagonal* modelQ);
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@ -2039,7 +2039,7 @@ class LabeledSymbol {
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gtsam::LabeledSymbol newChr(unsigned char c) const;
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gtsam::LabeledSymbol newLabel(unsigned char label) const;
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void print(string s) const;
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void print(string s="") const;
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};
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size_t mrsymbol(unsigned char c, unsigned char label, size_t j);
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@ -2054,7 +2054,7 @@ class Ordering {
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Ordering(const gtsam::Ordering& other);
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// Testable
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::Ordering& ord, double tol) const;
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// Standard interface
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@ -2075,7 +2075,7 @@ class NonlinearFactorGraph {
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NonlinearFactorGraph(const gtsam::NonlinearFactorGraph& graph);
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// FactorGraph
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::NonlinearFactorGraph& fg, double tol) const;
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size_t size() const;
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bool empty() const;
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@ -2123,7 +2123,7 @@ virtual class NonlinearFactor {
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// Factor base class
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size_t size() const;
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gtsam::KeyVector keys() const;
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void print(string s) const;
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void print(string s="") const;
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void printKeys(string s) const;
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// NonlinearFactor
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bool equals(const gtsam::NonlinearFactor& other, double tol) const;
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@ -2153,7 +2153,7 @@ class Values {
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void clear();
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size_t dim() const;
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void print(string s) const;
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void print(string s="") const;
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bool equals(const gtsam::Values& other, double tol) const;
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void insert(const gtsam::Values& values);
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@ -2242,7 +2242,7 @@ class Marginals {
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Marginals(const gtsam::GaussianFactorGraph& gfgraph,
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const gtsam::VectorValues& solutionvec);
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void print(string s) const;
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void print(string s="") const;
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Matrix marginalCovariance(size_t variable) const;
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Matrix marginalInformation(size_t variable) const;
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gtsam::JointMarginal jointMarginalCovariance(const gtsam::KeyVector& variables) const;
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@ -2252,7 +2252,7 @@ class Marginals {
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class JointMarginal {
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Matrix at(size_t iVariable, size_t jVariable) const;
|
||||
Matrix fullMatrix() const;
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
void print() const;
|
||||
};
|
||||
|
||||
|
|
@ -2296,7 +2296,7 @@ virtual class LinearContainerFactor : gtsam::NonlinearFactor {
|
|||
#include <gtsam/nonlinear/NonlinearOptimizerParams.h>
|
||||
virtual class NonlinearOptimizerParams {
|
||||
NonlinearOptimizerParams();
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
|
||||
int getMaxIterations() const;
|
||||
double getRelativeErrorTol() const;
|
||||
|
|
@ -2490,7 +2490,7 @@ class ISAM2Clique {
|
|||
|
||||
//Standard Interface
|
||||
Vector gradientContribution() const;
|
||||
void print(string s);
|
||||
void print(string s="");
|
||||
};
|
||||
|
||||
class ISAM2Result {
|
||||
|
|
@ -2512,7 +2512,7 @@ class ISAM2 {
|
|||
ISAM2(const gtsam::ISAM2& other);
|
||||
|
||||
bool equals(const gtsam::ISAM2& other, double tol) const;
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
void printStats() const;
|
||||
void saveGraph(string s) const;
|
||||
|
||||
|
|
@ -2544,7 +2544,7 @@ class ISAM2 {
|
|||
class NonlinearISAM {
|
||||
NonlinearISAM();
|
||||
NonlinearISAM(int reorderInterval);
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
void printStats() const;
|
||||
void saveGraph(string s) const;
|
||||
gtsam::Values estimate() const;
|
||||
|
|
@ -2679,7 +2679,7 @@ class BearingRange {
|
|||
static This Measure(const POSE& pose, const POINT& point);
|
||||
static BEARING MeasureBearing(const POSE& pose, const POINT& point);
|
||||
static RANGE MeasureRange(const POSE& pose, const POINT& point);
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
};
|
||||
|
||||
typedef gtsam::BearingRange<gtsam::Pose2, gtsam::Point2, gtsam::Rot2, double> BearingRange2D;
|
||||
|
|
@ -3167,7 +3167,7 @@ class ConstantBias {
|
|||
ConstantBias(Vector biasAcc, Vector biasGyro);
|
||||
|
||||
// Testable
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
bool equals(const gtsam::imuBias::ConstantBias& expected, double tol) const;
|
||||
|
||||
// Group
|
||||
|
|
@ -3207,7 +3207,7 @@ class NavState {
|
|||
NavState(const gtsam::Pose3& pose, Vector v);
|
||||
|
||||
// Testable
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
bool equals(const gtsam::NavState& expected, double tol) const;
|
||||
|
||||
// Access
|
||||
|
|
@ -3225,7 +3225,7 @@ virtual class PreintegratedRotationParams {
|
|||
PreintegratedRotationParams();
|
||||
|
||||
// Testable
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
bool equals(const gtsam::PreintegratedRotationParams& expected, double tol);
|
||||
|
||||
void setGyroscopeCovariance(Matrix cov);
|
||||
|
|
@ -3248,7 +3248,7 @@ virtual class PreintegrationParams : gtsam::PreintegratedRotationParams {
|
|||
static gtsam::PreintegrationParams* MakeSharedU(); // default g = 9.81
|
||||
|
||||
// Testable
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
bool equals(const gtsam::PreintegrationParams& expected, double tol);
|
||||
|
||||
void setAccelerometerCovariance(Matrix cov);
|
||||
|
|
@ -3268,7 +3268,7 @@ class PreintegratedImuMeasurements {
|
|||
const gtsam::imuBias::ConstantBias& bias);
|
||||
|
||||
// Testable
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
bool equals(const gtsam::PreintegratedImuMeasurements& expected, double tol);
|
||||
|
||||
// Standard Interface
|
||||
|
|
@ -3311,7 +3311,7 @@ virtual class PreintegrationCombinedParams : gtsam::PreintegrationParams {
|
|||
static gtsam::PreintegrationCombinedParams* MakeSharedU(); // default g = 9.81
|
||||
|
||||
// Testable
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
bool equals(const gtsam::PreintegrationCombinedParams& expected, double tol);
|
||||
|
||||
void setBiasAccCovariance(Matrix cov);
|
||||
|
|
@ -3330,7 +3330,7 @@ class PreintegratedCombinedMeasurements {
|
|||
PreintegratedCombinedMeasurements(const gtsam::PreintegrationCombinedParams* params,
|
||||
const gtsam::imuBias::ConstantBias& bias);
|
||||
// Testable
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
bool equals(const gtsam::PreintegratedCombinedMeasurements& expected,
|
||||
double tol);
|
||||
|
||||
|
|
@ -3371,7 +3371,7 @@ class PreintegratedAhrsMeasurements {
|
|||
PreintegratedAhrsMeasurements(const gtsam::PreintegratedAhrsMeasurements& rhs);
|
||||
|
||||
// Testable
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
bool equals(const gtsam::PreintegratedAhrsMeasurements& expected, double tol);
|
||||
|
||||
// get Data
|
||||
|
|
@ -3410,7 +3410,7 @@ virtual class Rot3AttitudeFactor : gtsam::NonlinearFactor{
|
|||
const gtsam::Unit3& bRef);
|
||||
Rot3AttitudeFactor(size_t key, const gtsam::Unit3& nZ, const gtsam::noiseModel::Diagonal* model);
|
||||
Rot3AttitudeFactor();
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
bool equals(const gtsam::NonlinearFactor& expected, double tol) const;
|
||||
gtsam::Unit3 nZ() const;
|
||||
gtsam::Unit3 bRef() const;
|
||||
|
|
@ -3423,7 +3423,7 @@ virtual class Pose3AttitudeFactor : gtsam::NonlinearFactor {
|
|||
Pose3AttitudeFactor(size_t key, const gtsam::Unit3& nZ,
|
||||
const gtsam::noiseModel::Diagonal* model);
|
||||
Pose3AttitudeFactor();
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
bool equals(const gtsam::NonlinearFactor& expected, double tol) const;
|
||||
gtsam::Unit3 nZ() const;
|
||||
gtsam::Unit3 bRef() const;
|
||||
|
|
@ -3435,7 +3435,7 @@ virtual class GPSFactor : gtsam::NonlinearFactor{
|
|||
const gtsam::noiseModel::Base* model);
|
||||
|
||||
// Testable
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
bool equals(const gtsam::GPSFactor& expected, double tol);
|
||||
|
||||
// Standard Interface
|
||||
|
|
@ -3447,7 +3447,7 @@ virtual class GPSFactor2 : gtsam::NonlinearFactor {
|
|||
const gtsam::noiseModel::Base* model);
|
||||
|
||||
// Testable
|
||||
void print(string s) const;
|
||||
void print(string s="") const;
|
||||
bool equals(const gtsam::GPSFactor2& expected, double tol);
|
||||
|
||||
// Standard Interface
|
||||
|
|
|
|||
Loading…
Reference in New Issue