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Merge pull request #738 from borglab/feature/update_print_wrap

release/4.3a0
Varun Agrawal 2021-04-29 16:23:53 -04:00 committed by GitHub
parent 6097b8f8e5 45ce9ebc7d
commit 14314071ff
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3 changed files with 120 additions and 89 deletions
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gtsam/gtsam.i
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@ -12,6 +12,9 @@ namespace gtsam {
// Actually a FastList<Key> // Actually a FastList<Key>
#include <gtsam/inference/Key.h> #include <gtsam/inference/Key.h>
const KeyFormatter DefaultKeyFormatter;
class KeyList { class KeyList {
KeyList(); KeyList();
KeyList(const gtsam::KeyList& other); KeyList(const gtsam::KeyList& other);
@ -379,7 +382,7 @@ class Rot2 {
static gtsam::Rot2 fromCosSin(double c, double s); static gtsam::Rot2 fromCosSin(double c, double s);
// Testable // Testable
void print(string s="") const; void print(string s = "theta") const;
bool equals(const gtsam::Rot2& rot, double tol) const; bool equals(const gtsam::Rot2& rot, double tol) const;
// Group // Group
@ -799,7 +802,7 @@ class Cal3_S2 {
Cal3_S2(double fov, int w, int h); Cal3_S2(double fov, int w, int h);
// Testable // Testable
void print(string s="") const; void print(string s = "Cal3_S2") const;
bool equals(const gtsam::Cal3_S2& rhs, double tol) const; bool equals(const gtsam::Cal3_S2& rhs, double tol) const;
// Manifold // Manifold
@ -1022,7 +1025,7 @@ class PinholeCamera {
const gtsam::Point3& upVector, const CALIBRATION& K); const gtsam::Point3& upVector, const CALIBRATION& K);
// Testable // Testable
void print(string s="") const; void print(string s = "PinholeCamera") const;
bool equals(const This& camera, double tol) const; bool equals(const This& camera, double tol) const;
// Standard Interface // Standard Interface
@ -1160,7 +1163,8 @@ virtual class SymbolicFactor {
// From Factor // From Factor
size_t size() const; size_t size() const;
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::SymbolicFactor& other, double tol) const; bool equals(const gtsam::SymbolicFactor& other, double tol) const;
gtsam::KeyVector keys(); gtsam::KeyVector keys();
}; };
@ -1173,7 +1177,8 @@ virtual class SymbolicFactorGraph {
// From FactorGraph // From FactorGraph
void push_back(gtsam::SymbolicFactor* factor); void push_back(gtsam::SymbolicFactor* factor);
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::SymbolicFactorGraph& rhs, double tol) const; bool equals(const gtsam::SymbolicFactorGraph& rhs, double tol) const;
size_t size() const; size_t size() const;
bool exists(size_t idx) const; bool exists(size_t idx) const;
@ -1223,7 +1228,8 @@ virtual class SymbolicConditional : gtsam::SymbolicFactor {
static gtsam::SymbolicConditional FromKeys(const gtsam::KeyVector& keys, size_t nrFrontals); static gtsam::SymbolicConditional FromKeys(const gtsam::KeyVector& keys, size_t nrFrontals);
// Testable // Testable
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::SymbolicConditional& other, double tol) const; bool equals(const gtsam::SymbolicConditional& other, double tol) const;
// Standard interface // Standard interface
@ -1236,7 +1242,8 @@ class SymbolicBayesNet {
SymbolicBayesNet(); SymbolicBayesNet();
SymbolicBayesNet(const gtsam::SymbolicBayesNet& other); SymbolicBayesNet(const gtsam::SymbolicBayesNet& other);
// Testable // Testable
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::SymbolicBayesNet& other, double tol) const; bool equals(const gtsam::SymbolicBayesNet& other, double tol) const;
// Standard interface // Standard interface
@ -1257,7 +1264,8 @@ class SymbolicBayesTree {
SymbolicBayesTree(const gtsam::SymbolicBayesTree& other); SymbolicBayesTree(const gtsam::SymbolicBayesTree& other);
// Testable // Testable
void print(string s=""); void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter);
bool equals(const gtsam::SymbolicBayesTree& other, double tol) const; bool equals(const gtsam::SymbolicBayesTree& other, double tol) const;
//Standard Interface //Standard Interface
@ -1279,7 +1287,8 @@ class SymbolicBayesTree {
// SymbolicBayesTreeClique(const pair<typename ConditionalType::shared_ptr, typename ConditionalType::FactorType::shared_ptr>& result) : Base(result) {} // SymbolicBayesTreeClique(const pair<typename ConditionalType::shared_ptr, typename ConditionalType::FactorType::shared_ptr>& result) : Base(result) {}
// //
// bool equals(const This& other, double tol) const; // bool equals(const This& other, double tol) const;
// void print(string s="") const; // void print(string s = "",
// const gtsam::KeyFormatter& keyFormatter = gtsam::DefaultKeyFormatter) const;
// void printTree() const; // Default indent of "" // void printTree() const; // Default indent of ""
// void printTree(string indent) const; // void printTree(string indent) const;
// size_t numCachedSeparatorMarginals() const; // size_t numCachedSeparatorMarginals() const;
@ -1313,7 +1322,9 @@ class VariableIndex {
// Testable // Testable
bool equals(const gtsam::VariableIndex& other, double tol) const; bool equals(const gtsam::VariableIndex& other, double tol) const;
void print(string s="") const; void print(string s = "VariableIndex: ",
const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
// Standard interface // Standard interface
size_t size() const; size_t size() const;
@ -1551,7 +1562,9 @@ class VectorValues {
size_t size() const; size_t size() const;
size_t dim(size_t j) const; size_t dim(size_t j) const;
bool exists(size_t j) const; bool exists(size_t j) const;
void print(string s="") const; void print(string s = "VectorValues",
const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::VectorValues& expected, double tol) const; bool equals(const gtsam::VectorValues& expected, double tol) const;
void insert(size_t j, Vector value); void insert(size_t j, Vector value);
Vector vector() const; Vector vector() const;
@ -1582,7 +1595,8 @@ class VectorValues {
#include <gtsam/linear/GaussianFactor.h> #include <gtsam/linear/GaussianFactor.h>
virtual class GaussianFactor { virtual class GaussianFactor {
gtsam::KeyVector keys() const; gtsam::KeyVector keys() const;
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GaussianFactor& lf, double tol) const; bool equals(const gtsam::GaussianFactor& lf, double tol) const;
double error(const gtsam::VectorValues& c) const; double error(const gtsam::VectorValues& c) const;
gtsam::GaussianFactor* clone() const; gtsam::GaussianFactor* clone() const;
@ -1610,7 +1624,8 @@ virtual class JacobianFactor : gtsam::GaussianFactor {
JacobianFactor(const gtsam::GaussianFactorGraph& graph); JacobianFactor(const gtsam::GaussianFactorGraph& graph);
//Testable //Testable
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
void printKeys(string s) const; void printKeys(string s) const;
bool equals(const gtsam::GaussianFactor& lf, double tol) const; bool equals(const gtsam::GaussianFactor& lf, double tol) const;
size_t size() const; size_t size() const;
@ -1659,7 +1674,8 @@ virtual class HessianFactor : gtsam::GaussianFactor {
//Testable //Testable
size_t size() const; size_t size() const;
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
void printKeys(string s) const; void printKeys(string s) const;
bool equals(const gtsam::GaussianFactor& lf, double tol) const; bool equals(const gtsam::GaussianFactor& lf, double tol) const;
double error(const gtsam::VectorValues& c) const; double error(const gtsam::VectorValues& c) const;
@ -1684,7 +1700,8 @@ class GaussianFactorGraph {
GaussianFactorGraph(const gtsam::GaussianBayesTree& bayesTree); GaussianFactorGraph(const gtsam::GaussianBayesTree& bayesTree);
// From FactorGraph // From FactorGraph
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GaussianFactorGraph& lfgraph, double tol) const; bool equals(const gtsam::GaussianFactorGraph& lfgraph, double tol) const;
size_t size() const; size_t size() const;
gtsam::GaussianFactor* at(size_t idx) const; gtsam::GaussianFactor* at(size_t idx) const;
@ -1775,12 +1792,15 @@ virtual class GaussianConditional : gtsam::JacobianFactor {
size_t name2, Matrix T); size_t name2, Matrix T);
//Standard Interface //Standard Interface
void print(string s="") const; void print(string s = "GaussianConditional",
const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GaussianConditional& cg, double tol) const; bool equals(const gtsam::GaussianConditional& cg, double tol) const;
// Advanced Interface // Advanced Interface
gtsam::VectorValues solve(const gtsam::VectorValues& parents) const; 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 solveTransposeInPlace(gtsam::VectorValues& gy) const;
void scaleFrontalsBySigma(gtsam::VectorValues& gy) const; void scaleFrontalsBySigma(gtsam::VectorValues& gy) const;
Matrix R() const; Matrix R() const;
@ -1797,7 +1817,9 @@ virtual class GaussianDensity : gtsam::GaussianConditional {
GaussianDensity(size_t key, Vector d, Matrix R, const gtsam::noiseModel::Diagonal* sigmas); GaussianDensity(size_t key, Vector d, Matrix R, const gtsam::noiseModel::Diagonal* sigmas);
//Standard Interface //Standard Interface
void print(string s="") const; void print(string s = "GaussianDensity",
const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GaussianDensity &cg, double tol) const; bool equals(const gtsam::GaussianDensity &cg, double tol) const;
Vector mean() const; Vector mean() const;
Matrix covariance() const; Matrix covariance() const;
@ -1810,7 +1832,8 @@ virtual class GaussianBayesNet {
GaussianBayesNet(const gtsam::GaussianConditional* conditional); GaussianBayesNet(const gtsam::GaussianConditional* conditional);
// Testable // Testable
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GaussianBayesNet& other, double tol) const; bool equals(const gtsam::GaussianBayesNet& other, double tol) const;
size_t size() const; size_t size() const;
@ -1845,7 +1868,8 @@ virtual class GaussianBayesTree {
GaussianBayesTree(); GaussianBayesTree();
GaussianBayesTree(const gtsam::GaussianBayesTree& other); GaussianBayesTree(const gtsam::GaussianBayesTree& other);
bool equals(const gtsam::GaussianBayesTree& other, double tol) const; bool equals(const gtsam::GaussianBayesTree& other, double tol) const;
void print(string s=""); void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter);
size_t size() const; size_t size() const;
bool empty() const; bool empty() const;
size_t numCachedSeparatorMarginals() const; size_t numCachedSeparatorMarginals() const;
@ -1871,7 +1895,7 @@ class Errors {
Errors(const gtsam::VectorValues& V); Errors(const gtsam::VectorValues& V);
//Testable //Testable
void print(string s=""); void print(string s = "Errors");
bool equals(const gtsam::Errors& expected, double tol) const; bool equals(const gtsam::Errors& expected, double tol) const;
}; };
@ -1890,7 +1914,6 @@ class GaussianISAM {
virtual class IterativeOptimizationParameters { virtual class IterativeOptimizationParameters {
string getVerbosity() const; string getVerbosity() const;
void setVerbosity(string s) ; void setVerbosity(string s) ;
void print() const;
}; };
//virtual class IterativeSolver { //virtual class IterativeSolver {
@ -1912,7 +1935,6 @@ virtual class ConjugateGradientParameters : gtsam::IterativeOptimizationParamete
void setReset(int value); void setReset(int value);
void setEpsilon_rel(double value); void setEpsilon_rel(double value);
void setEpsilon_abs(double value); void setEpsilon_abs(double value);
void print() const;
}; };
#include <gtsam/linear/Preconditioner.h> #include <gtsam/linear/Preconditioner.h>
@ -1934,7 +1956,6 @@ virtual class PCGSolverParameters : gtsam::ConjugateGradientParameters {
#include <gtsam/linear/SubgraphSolver.h> #include <gtsam/linear/SubgraphSolver.h>
virtual class SubgraphSolverParameters : gtsam::ConjugateGradientParameters { virtual class SubgraphSolverParameters : gtsam::ConjugateGradientParameters {
SubgraphSolverParameters(); SubgraphSolverParameters();
void print() const;
}; };
virtual class SubgraphSolver { virtual class SubgraphSolver {
@ -1974,7 +1995,7 @@ class Symbol {
Symbol(size_t key); Symbol(size_t key);
size_t key() const; size_t key() const;
void print(const string& s) const; void print(const string& s = "") const;
bool equals(const gtsam::Symbol& expected, double tol) const; bool equals(const gtsam::Symbol& expected, double tol) const;
char chr() const; char chr() const;
@ -2054,7 +2075,8 @@ class Ordering {
Ordering(const gtsam::Ordering& other); Ordering(const gtsam::Ordering& other);
// Testable // Testable
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::Ordering& ord, double tol) const; bool equals(const gtsam::Ordering& ord, double tol) const;
// Standard interface // Standard interface
@ -2075,7 +2097,8 @@ class NonlinearFactorGraph {
NonlinearFactorGraph(const gtsam::NonlinearFactorGraph& graph); NonlinearFactorGraph(const gtsam::NonlinearFactorGraph& graph);
// FactorGraph // FactorGraph
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::NonlinearFactorGraph& fg, double tol) const; bool equals(const gtsam::NonlinearFactorGraph& fg, double tol) const;
size_t size() const; size_t size() const;
bool empty() const; bool empty() const;
@ -2123,7 +2146,8 @@ virtual class NonlinearFactor {
// Factor base class // Factor base class
size_t size() const; size_t size() const;
gtsam::KeyVector keys() const; gtsam::KeyVector keys() const;
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
void printKeys(string s) const; void printKeys(string s) const;
// NonlinearFactor // NonlinearFactor
bool equals(const gtsam::NonlinearFactor& other, double tol) const; bool equals(const gtsam::NonlinearFactor& other, double tol) const;
@ -2153,7 +2177,8 @@ class Values {
void clear(); void clear();
size_t dim() const; size_t dim() const;
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::Values& other, double tol) const; bool equals(const gtsam::Values& other, double tol) const;
void insert(const gtsam::Values& values); void insert(const gtsam::Values& values);
@ -2242,7 +2267,8 @@ class Marginals {
Marginals(const gtsam::GaussianFactorGraph& gfgraph, Marginals(const gtsam::GaussianFactorGraph& gfgraph,
const gtsam::VectorValues& solutionvec); const gtsam::VectorValues& solutionvec);
void print(string s="") const; void print(string s = "Marginals: ", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
Matrix marginalCovariance(size_t variable) const; Matrix marginalCovariance(size_t variable) const;
Matrix marginalInformation(size_t variable) const; Matrix marginalInformation(size_t variable) const;
gtsam::JointMarginal jointMarginalCovariance(const gtsam::KeyVector& variables) const; gtsam::JointMarginal jointMarginalCovariance(const gtsam::KeyVector& variables) const;
@ -2252,8 +2278,7 @@ class Marginals {
class JointMarginal { class JointMarginal {
Matrix at(size_t iVariable, size_t jVariable) const; Matrix at(size_t iVariable, size_t jVariable) const;
Matrix fullMatrix() const; Matrix fullMatrix() const;
void print(string s="") const; void print(string s = "", gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter) const;
void print() const;
}; };
#include <gtsam/nonlinear/LinearContainerFactor.h> #include <gtsam/nonlinear/LinearContainerFactor.h>
@ -2407,14 +2432,14 @@ virtual class LevenbergMarquardtOptimizer : gtsam::NonlinearOptimizer {
LevenbergMarquardtOptimizer(const gtsam::NonlinearFactorGraph& graph, const gtsam::Values& initialValues); LevenbergMarquardtOptimizer(const gtsam::NonlinearFactorGraph& graph, const gtsam::Values& initialValues);
LevenbergMarquardtOptimizer(const gtsam::NonlinearFactorGraph& graph, const gtsam::Values& initialValues, const gtsam::LevenbergMarquardtParams& params); LevenbergMarquardtOptimizer(const gtsam::NonlinearFactorGraph& graph, const gtsam::Values& initialValues, const gtsam::LevenbergMarquardtParams& params);
double lambda() const; double lambda() const;
void print(string str) const; void print(string s = "") const;
}; };
#include <gtsam/nonlinear/ISAM2.h> #include <gtsam/nonlinear/ISAM2.h>
class ISAM2GaussNewtonParams { class ISAM2GaussNewtonParams {
ISAM2GaussNewtonParams(); ISAM2GaussNewtonParams();
void print(string str) const; void print(string s = "") const;
/** Getters and Setters for all properties */ /** Getters and Setters for all properties */
double getWildfireThreshold() const; double getWildfireThreshold() const;
@ -2424,7 +2449,7 @@ class ISAM2GaussNewtonParams {
class ISAM2DoglegParams { class ISAM2DoglegParams {
ISAM2DoglegParams(); ISAM2DoglegParams();
void print(string str) const; void print(string s = "") const;
/** Getters and Setters for all properties */ /** Getters and Setters for all properties */
double getWildfireThreshold() const; double getWildfireThreshold() const;
@ -2460,7 +2485,7 @@ class ISAM2ThresholdMap {
class ISAM2Params { class ISAM2Params {
ISAM2Params(); ISAM2Params();
void print(string str) const; void print(string s = "") const;
/** Getters and Setters for all properties */ /** Getters and Setters for all properties */
void setOptimizationParams(const gtsam::ISAM2GaussNewtonParams& gauss_newton__params); void setOptimizationParams(const gtsam::ISAM2GaussNewtonParams& gauss_newton__params);
@ -2490,13 +2515,13 @@ class ISAM2Clique {
//Standard Interface //Standard Interface
Vector gradientContribution() const; Vector gradientContribution() const;
void print(string s=""); void print(string s = "", gtsam::KeyFormatter keyFormatter = gtsam::DefaultKeyFormatter);
}; };
class ISAM2Result { class ISAM2Result {
ISAM2Result(); ISAM2Result();
void print(string str) const; void print(string s = "") const;
/** Getters and Setters for all properties */ /** Getters and Setters for all properties */
size_t getVariablesRelinearized() const; size_t getVariablesRelinearized() const;
@ -2512,7 +2537,8 @@ class ISAM2 {
ISAM2(const gtsam::ISAM2& other); ISAM2(const gtsam::ISAM2& other);
bool equals(const gtsam::ISAM2& other, double tol) const; 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 printStats() const;
void saveGraph(string s) const; void saveGraph(string s) const;
@ -2544,7 +2570,8 @@ class ISAM2 {
class NonlinearISAM { class NonlinearISAM {
NonlinearISAM(); NonlinearISAM();
NonlinearISAM(int reorderInterval); NonlinearISAM(int reorderInterval);
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
void printStats() const; void printStats() const;
void saveGraph(string s) const; void saveGraph(string s) const;
gtsam::Values estimate() const; gtsam::Values estimate() const;
@ -3016,7 +3043,6 @@ class ShonanAveragingParameters2 {
bool getUseHuber() const; bool getUseHuber() const;
void setCertifyOptimality(bool value); void setCertifyOptimality(bool value);
bool getCertifyOptimality() const; bool getCertifyOptimality() const;
void print() const;
}; };
class ShonanAveragingParameters3 { class ShonanAveragingParameters3 {
@ -3037,7 +3063,6 @@ class ShonanAveragingParameters3 {
bool getUseHuber() const; bool getUseHuber() const;
void setCertifyOptimality(bool value); void setCertifyOptimality(bool value);
bool getCertifyOptimality() const; bool getCertifyOptimality() const;
void print() const;
}; };
class ShonanAveraging2 { class ShonanAveraging2 {
@ -3330,7 +3355,7 @@ class PreintegratedCombinedMeasurements {
PreintegratedCombinedMeasurements(const gtsam::PreintegrationCombinedParams* params, PreintegratedCombinedMeasurements(const gtsam::PreintegrationCombinedParams* params,
const gtsam::imuBias::ConstantBias& bias); const gtsam::imuBias::ConstantBias& bias);
// Testable // Testable
void print(string s="") const; void print(string s = "Preintegrated Measurements:") const;
bool equals(const gtsam::PreintegratedCombinedMeasurements& expected, bool equals(const gtsam::PreintegratedCombinedMeasurements& expected,
double tol); double tol);
@ -3371,7 +3396,7 @@ class PreintegratedAhrsMeasurements {
PreintegratedAhrsMeasurements(const gtsam::PreintegratedAhrsMeasurements& rhs); PreintegratedAhrsMeasurements(const gtsam::PreintegratedAhrsMeasurements& rhs);
// Testable // Testable
void print(string s="") const; void print(string s = "Preintegrated Measurements: ") const;
bool equals(const gtsam::PreintegratedAhrsMeasurements& expected, double tol); bool equals(const gtsam::PreintegratedAhrsMeasurements& expected, double tol);
// get Data // get Data
@ -3410,7 +3435,8 @@ virtual class Rot3AttitudeFactor : gtsam::NonlinearFactor{
const gtsam::Unit3& bRef); const gtsam::Unit3& bRef);
Rot3AttitudeFactor(size_t key, const gtsam::Unit3& nZ, const gtsam::noiseModel::Diagonal* model); Rot3AttitudeFactor(size_t key, const gtsam::Unit3& nZ, const gtsam::noiseModel::Diagonal* model);
Rot3AttitudeFactor(); Rot3AttitudeFactor();
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::NonlinearFactor& expected, double tol) const; bool equals(const gtsam::NonlinearFactor& expected, double tol) const;
gtsam::Unit3 nZ() const; gtsam::Unit3 nZ() const;
gtsam::Unit3 bRef() const; gtsam::Unit3 bRef() const;
@ -3423,7 +3449,8 @@ virtual class Pose3AttitudeFactor : gtsam::NonlinearFactor {
Pose3AttitudeFactor(size_t key, const gtsam::Unit3& nZ, Pose3AttitudeFactor(size_t key, const gtsam::Unit3& nZ,
const gtsam::noiseModel::Diagonal* model); const gtsam::noiseModel::Diagonal* model);
Pose3AttitudeFactor(); Pose3AttitudeFactor();
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::NonlinearFactor& expected, double tol) const; bool equals(const gtsam::NonlinearFactor& expected, double tol) const;
gtsam::Unit3 nZ() const; gtsam::Unit3 nZ() const;
gtsam::Unit3 bRef() const; gtsam::Unit3 bRef() const;
@ -3435,7 +3462,8 @@ virtual class GPSFactor : gtsam::NonlinearFactor{
const gtsam::noiseModel::Base* model); const gtsam::noiseModel::Base* model);
// Testable // Testable
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GPSFactor& expected, double tol); bool equals(const gtsam::GPSFactor& expected, double tol);
// Standard Interface // Standard Interface
@ -3447,7 +3475,8 @@ virtual class GPSFactor2 : gtsam::NonlinearFactor {
const gtsam::noiseModel::Base* model); const gtsam::noiseModel::Base* model);
// Testable // Testable
void print(string s="") const; void print(string s = "", const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
bool equals(const gtsam::GPSFactor2& expected, double tol); bool equals(const gtsam::GPSFactor2& expected, double tol);
// Standard Interface // Standard Interface

1
python/gtsam/gtsam.tpl
View File

@ -13,6 +13,7 @@
#include <pybind11/eigen.h> #include <pybind11/eigen.h>
#include <pybind11/stl_bind.h> #include <pybind11/stl_bind.h>
#include <pybind11/pybind11.h> #include <pybind11/pybind11.h>
#include <pybind11/functional.h>
#include <pybind11/iostream.h> #include <pybind11/iostream.h>
#include "gtsam/config.h" #include "gtsam/config.h"
#include "gtsam/base/serialization.h" #include "gtsam/base/serialization.h"

1
python/gtsam_unstable/gtsam_unstable.tpl
View File

@ -13,6 +13,7 @@
#include <pybind11/eigen.h> #include <pybind11/eigen.h>
#include <pybind11/stl_bind.h> #include <pybind11/stl_bind.h>
#include <pybind11/pybind11.h> #include <pybind11/pybind11.h>
#include <pybind11/functional.h>
#include <pybind11/iostream.h> #include <pybind11/iostream.h>
#include "gtsam/base/serialization.h" #include "gtsam/base/serialization.h"
#include "gtsam/nonlinear/utilities.h" // for RedirectCout. #include "gtsam/nonlinear/utilities.h" // for RedirectCout.