print default arguments update
Varun Agrawal
parent
905559d681
commit
45ce9ebc7d
139
gtsam/gtsam.i
139
gtsam/gtsam.i
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@ -12,6 +12,9 @@ namespace gtsam {
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// Actually a FastList<Key>
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#include <gtsam/inference/Key.h>
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const KeyFormatter DefaultKeyFormatter;
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class KeyList {
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KeyList();
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KeyList(const gtsam::KeyList& other);
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@ -983,7 +986,7 @@ 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 = "PinholeBase") 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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@ -1160,8 +1163,8 @@ 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 = "Factor",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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@ -1174,8 +1177,8 @@ 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 = "FactorGraph",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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@ -1225,8 +1228,8 @@ 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 = "Factor",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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bool equals(const gtsam::SymbolicConditional& other, double tol) const;
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// Standard interface
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@ -1239,8 +1242,8 @@ 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 = "BayesNet",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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bool equals(const gtsam::SymbolicBayesNet& other, double tol) const;
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// Standard interface
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@ -1261,8 +1264,8 @@ 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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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter);
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter);
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bool equals(const gtsam::SymbolicBayesTree& other, double tol) const;
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//Standard Interface
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@ -1285,7 +1288,7 @@ class SymbolicBayesTree {
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//
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// bool equals(const This& other, double tol) const;
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// void print(string s = "",
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// gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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// const gtsam::KeyFormatter& keyFormatter = gtsam::DefaultKeyFormatter) 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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@ -1320,7 +1323,8 @@ 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 = "VariableIndex: ",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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// Standard interface
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size_t size() const;
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@ -1559,7 +1563,8 @@ class VectorValues {
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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 = "VectorValues",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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@ -1590,8 +1595,8 @@ 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 = "Factor",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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@ -1619,8 +1624,8 @@ 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 = "Factor",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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@ -1669,8 +1674,8 @@ 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 = "Factor",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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@ -1695,8 +1700,8 @@ 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 = "FactorGraph",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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@ -1787,21 +1792,23 @@ 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 = "GaussianConditional",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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bool equals(const gtsam::GaussianConditional &cg, double tol) const;
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void print(string s = "GaussianConditional",
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const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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bool equals(const gtsam::GaussianConditional& cg, double tol) const;
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//Advanced Interface
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gtsam::VectorValues solve(const gtsam::VectorValues& parents) const;
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gtsam::VectorValues solveOtherRHS(const gtsam::VectorValues& parents, const gtsam::VectorValues& rhs) const;
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void solveTransposeInPlace(gtsam::VectorValues& gy) const;
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void scaleFrontalsBySigma(gtsam::VectorValues& gy) const;
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Matrix R() const;
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Matrix S() const;
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Vector d() const;
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// Advanced Interface
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gtsam::VectorValues solve(const gtsam::VectorValues& parents) const;
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gtsam::VectorValues solveOtherRHS(const gtsam::VectorValues& parents,
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const gtsam::VectorValues& rhs) const;
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void solveTransposeInPlace(gtsam::VectorValues& gy) const;
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void scaleFrontalsBySigma(gtsam::VectorValues& gy) const;
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Matrix R() const;
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Matrix S() const;
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Vector d() const;
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// enabling serialization functionality
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void serialize() const;
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// enabling serialization functionality
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void serialize() const;
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};
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#include <gtsam/linear/GaussianDensity.h>
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@ -1811,7 +1818,8 @@ virtual class GaussianDensity : gtsam::GaussianConditional {
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//Standard Interface
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void print(string s = "GaussianDensity",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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@ -1824,8 +1832,8 @@ 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 = "BayesNet",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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@ -1860,8 +1868,8 @@ 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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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter);
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter);
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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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@ -2067,8 +2075,8 @@ class Ordering {
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Ordering(const gtsam::Ordering& other);
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// Testable
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void print(string s = "",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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bool equals(const gtsam::Ordering& ord, double tol) const;
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// Standard interface
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@ -2089,8 +2097,8 @@ class NonlinearFactorGraph {
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NonlinearFactorGraph(const gtsam::NonlinearFactorGraph& graph);
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// FactorGraph
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void print(string s = "NonlinearFactorGraph: ",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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@ -2138,9 +2146,9 @@ 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 = "Factor",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void printKeys(string s = "Factor") const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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double error(const gtsam::Values& c) const;
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@ -2169,8 +2177,8 @@ class Values {
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void clear();
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size_t dim() const;
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void print(string s = "",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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@ -2259,8 +2267,8 @@ 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 = "Marginals: ",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "Marginals: ", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) 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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@ -2270,8 +2278,7 @@ class Marginals {
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class JointMarginal {
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Matrix at(size_t iVariable, size_t jVariable) const;
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Matrix fullMatrix() const;
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void print(string s = "",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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};
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#include <gtsam/nonlinear/LinearContainerFactor.h>
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@ -2508,8 +2515,7 @@ class ISAM2Clique {
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//Standard Interface
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Vector gradientContribution() const;
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void print(string s = "",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter);
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void print(string s = "", gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter);
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};
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class ISAM2Result {
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@ -2531,7 +2537,8 @@ class ISAM2 {
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ISAM2(const gtsam::ISAM2& other);
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bool equals(const gtsam::ISAM2& other, double tol) const;
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void print(string s = "") const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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void printStats() const;
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void saveGraph(string s) const;
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@ -2563,8 +2570,8 @@ class ISAM2 {
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class NonlinearISAM {
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NonlinearISAM();
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NonlinearISAM(int reorderInterval);
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void print(string s = "",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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void printStats() const;
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void saveGraph(string s) const;
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gtsam::Values estimate() const;
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@ -3428,8 +3435,8 @@ virtual class Rot3AttitudeFactor : gtsam::NonlinearFactor{
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const gtsam::Unit3& bRef);
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Rot3AttitudeFactor(size_t key, const gtsam::Unit3& nZ, const gtsam::noiseModel::Diagonal* model);
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Rot3AttitudeFactor();
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void print(string s = "",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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bool equals(const gtsam::NonlinearFactor& expected, double tol) const;
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gtsam::Unit3 nZ() const;
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gtsam::Unit3 bRef() const;
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@ -3442,8 +3449,8 @@ virtual class Pose3AttitudeFactor : gtsam::NonlinearFactor {
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Pose3AttitudeFactor(size_t key, const gtsam::Unit3& nZ,
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const gtsam::noiseModel::Diagonal* model);
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Pose3AttitudeFactor();
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void print(string s = "Factor",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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bool equals(const gtsam::NonlinearFactor& expected, double tol) const;
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gtsam::Unit3 nZ() const;
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gtsam::Unit3 bRef() const;
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@ -3455,8 +3462,8 @@ virtual class GPSFactor : gtsam::NonlinearFactor{
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const gtsam::noiseModel::Base* model);
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// Testable
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void print(string s = "",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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bool equals(const gtsam::GPSFactor& expected, double tol);
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// Standard Interface
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@ -3468,8 +3475,8 @@ virtual class GPSFactor2 : gtsam::NonlinearFactor {
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const gtsam::noiseModel::Base* model);
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// Testable
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void print(string s = "Factor",
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gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
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void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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bool equals(const gtsam::GPSFactor2& expected, double tol);
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// Standard Interface
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