print default arguments update

release/4.3a0
Varun Agrawal 2021-04-28 14:03:03 -04:00
parent 905559d681
commit 45ce9ebc7d
1 changed files with 73 additions and 66 deletions

View File

@ -12,6 +12,9 @@ namespace gtsam {
// Actually a FastList<Key>
#include <gtsam/inference/Key.h>
const KeyFormatter DefaultKeyFormatter;
class KeyList {
KeyList();
KeyList(const gtsam::KeyList& other);
@ -983,7 +986,7 @@ class CalibratedCamera {
static gtsam::CalibratedCamera Level(const gtsam::Pose2& pose2, double height);
// Testable
void print(string s = "PinholeBase") const;
void print(string s = "") const;
bool equals(const gtsam::CalibratedCamera& camera, double tol) const;
// Manifold
@ -1160,8 +1163,8 @@ virtual class SymbolicFactor {
// From Factor
size_t size() const;
void print(string s = "Factor",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::SymbolicFactor& other, double tol) const;
gtsam::KeyVector keys();
};
@ -1174,8 +1177,8 @@ virtual class SymbolicFactorGraph {
// From FactorGraph
void push_back(gtsam::SymbolicFactor* factor);
void print(string s = "FactorGraph",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::SymbolicFactorGraph& rhs, double tol) const;
size_t size() const;
bool exists(size_t idx) const;
@ -1225,8 +1228,8 @@ virtual class SymbolicConditional : gtsam::SymbolicFactor {
static gtsam::SymbolicConditional FromKeys(const gtsam::KeyVector& keys, size_t nrFrontals);
// Testable
void print(string s = "Factor",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::SymbolicConditional& other, double tol) const;
// Standard interface
@ -1239,8 +1242,8 @@ class SymbolicBayesNet {
SymbolicBayesNet();
SymbolicBayesNet(const gtsam::SymbolicBayesNet& other);
// Testable
void print(string s = "BayesNet",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::SymbolicBayesNet& other, double tol) const;
// Standard interface
@ -1261,8 +1264,8 @@ class SymbolicBayesTree {
SymbolicBayesTree(const gtsam::SymbolicBayesTree& other);
// Testable
void print(string s = "",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter);
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter);
bool equals(const gtsam::SymbolicBayesTree& other, double tol) const;
//Standard Interface
@ -1285,7 +1288,7 @@ class SymbolicBayesTree {
//
// bool equals(const This& other, double tol) const;
// void print(string s = "",
// gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
// const gtsam::KeyFormatter& keyFormatter = gtsam::DefaultKeyFormatter) const;
// void printTree() const; // Default indent of ""
// void printTree(string indent) const;
// size_t numCachedSeparatorMarginals() const;
@ -1320,7 +1323,8 @@ class VariableIndex {
// Testable
bool equals(const gtsam::VariableIndex& other, double tol) const;
void print(string s = "VariableIndex: ",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
// Standard interface
size_t size() const;
@ -1559,7 +1563,8 @@ class VectorValues {
size_t dim(size_t j) const;
bool exists(size_t j) const;
void print(string s = "VectorValues",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::VectorValues& expected, double tol) const;
void insert(size_t j, Vector value);
Vector vector() const;
@ -1590,8 +1595,8 @@ class VectorValues {
#include <gtsam/linear/GaussianFactor.h>
virtual class GaussianFactor {
gtsam::KeyVector keys() const;
void print(string s = "Factor",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GaussianFactor& lf, double tol) const;
double error(const gtsam::VectorValues& c) const;
gtsam::GaussianFactor* clone() const;
@ -1619,8 +1624,8 @@ virtual class JacobianFactor : gtsam::GaussianFactor {
JacobianFactor(const gtsam::GaussianFactorGraph& graph);
//Testable
void print(string s = "Factor",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
void printKeys(string s) const;
bool equals(const gtsam::GaussianFactor& lf, double tol) const;
size_t size() const;
@ -1669,8 +1674,8 @@ virtual class HessianFactor : gtsam::GaussianFactor {
//Testable
size_t size() const;
void print(string s = "Factor",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
void printKeys(string s) const;
bool equals(const gtsam::GaussianFactor& lf, double tol) const;
double error(const gtsam::VectorValues& c) const;
@ -1695,8 +1700,8 @@ class GaussianFactorGraph {
GaussianFactorGraph(const gtsam::GaussianBayesTree& bayesTree);
// From FactorGraph
void print(string s = "FactorGraph",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GaussianFactorGraph& lfgraph, double tol) const;
size_t size() const;
gtsam::GaussianFactor* at(size_t idx) const;
@ -1788,12 +1793,14 @@ virtual class GaussianConditional : gtsam::JacobianFactor {
//Standard Interface
void print(string s = "GaussianConditional",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GaussianConditional &cg, double tol) const;
const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GaussianConditional& cg, double tol) const;
//Advanced Interface
// Advanced Interface
gtsam::VectorValues solve(const gtsam::VectorValues& parents) const;
gtsam::VectorValues solveOtherRHS(const gtsam::VectorValues& parents, const gtsam::VectorValues& rhs) const;
gtsam::VectorValues solveOtherRHS(const gtsam::VectorValues& parents,
const gtsam::VectorValues& rhs) const;
void solveTransposeInPlace(gtsam::VectorValues& gy) const;
void scaleFrontalsBySigma(gtsam::VectorValues& gy) const;
Matrix R() const;
@ -1811,7 +1818,8 @@ virtual class GaussianDensity : gtsam::GaussianConditional {
//Standard Interface
void print(string s = "GaussianDensity",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GaussianDensity &cg, double tol) const;
Vector mean() const;
Matrix covariance() const;
@ -1824,8 +1832,8 @@ virtual class GaussianBayesNet {
GaussianBayesNet(const gtsam::GaussianConditional* conditional);
// Testable
void print(string s = "BayesNet",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GaussianBayesNet& other, double tol) const;
size_t size() const;
@ -1860,8 +1868,8 @@ virtual class GaussianBayesTree {
GaussianBayesTree();
GaussianBayesTree(const gtsam::GaussianBayesTree& other);
bool equals(const gtsam::GaussianBayesTree& other, double tol) const;
void print(string s = "",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter);
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter);
size_t size() const;
bool empty() const;
size_t numCachedSeparatorMarginals() const;
@ -2067,8 +2075,8 @@ class Ordering {
Ordering(const gtsam::Ordering& other);
// Testable
void print(string s = "",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::Ordering& ord, double tol) const;
// Standard interface
@ -2089,8 +2097,8 @@ class NonlinearFactorGraph {
NonlinearFactorGraph(const gtsam::NonlinearFactorGraph& graph);
// FactorGraph
void print(string s = "NonlinearFactorGraph: ",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::NonlinearFactorGraph& fg, double tol) const;
size_t size() const;
bool empty() const;
@ -2138,9 +2146,9 @@ virtual class NonlinearFactor {
// Factor base class
size_t size() const;
gtsam::KeyVector keys() const;
void print(string s = "Factor",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void printKeys(string s = "Factor") const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
void printKeys(string s) const;
// NonlinearFactor
bool equals(const gtsam::NonlinearFactor& other, double tol) const;
double error(const gtsam::Values& c) const;
@ -2169,8 +2177,8 @@ class Values {
void clear();
size_t dim() const;
void print(string s = "",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::Values& other, double tol) const;
void insert(const gtsam::Values& values);
@ -2259,8 +2267,8 @@ class Marginals {
Marginals(const gtsam::GaussianFactorGraph& gfgraph,
const gtsam::VectorValues& solutionvec);
void print(string s = "Marginals: ",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "Marginals: ", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
Matrix marginalCovariance(size_t variable) const;
Matrix marginalInformation(size_t variable) const;
gtsam::JointMarginal jointMarginalCovariance(const gtsam::KeyVector& variables) const;
@ -2270,8 +2278,7 @@ class Marginals {
class JointMarginal {
Matrix at(size_t iVariable, size_t jVariable) const;
Matrix fullMatrix() const;
void print(string s = "",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
};
#include <gtsam/nonlinear/LinearContainerFactor.h>
@ -2508,8 +2515,7 @@ class ISAM2Clique {
//Standard Interface
Vector gradientContribution() const;
void print(string s = "",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter);
void print(string s = "", gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter);
};
class ISAM2Result {
@ -2531,7 +2537,8 @@ 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 gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
void printStats() const;
void saveGraph(string s) const;
@ -2563,8 +2570,8 @@ class ISAM2 {
class NonlinearISAM {
NonlinearISAM();
NonlinearISAM(int reorderInterval);
void print(string s = "",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
void printStats() const;
void saveGraph(string s) const;
gtsam::Values estimate() const;
@ -3428,8 +3435,8 @@ 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 = "",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::NonlinearFactor& expected, double tol) const;
gtsam::Unit3 nZ() const;
gtsam::Unit3 bRef() const;
@ -3442,8 +3449,8 @@ virtual class Pose3AttitudeFactor : gtsam::NonlinearFactor {
Pose3AttitudeFactor(size_t key, const gtsam::Unit3& nZ,
const gtsam::noiseModel::Diagonal* model);
Pose3AttitudeFactor();
void print(string s = "Factor",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::NonlinearFactor& expected, double tol) const;
gtsam::Unit3 nZ() const;
gtsam::Unit3 bRef() const;
@ -3455,8 +3462,8 @@ virtual class GPSFactor : gtsam::NonlinearFactor{
const gtsam::noiseModel::Base* model);
// Testable
void print(string s = "",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GPSFactor& expected, double tol);
// Standard Interface
@ -3468,8 +3475,8 @@ virtual class GPSFactor2 : gtsam::NonlinearFactor {
const gtsam::noiseModel::Base* model);
// Testable
void print(string s = "Factor",
gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GPSFactor2& expected, double tol);
// Standard Interface