Prefer C++11 nullptr
parent
5d8c99935c
commit
76b29b78af
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@ -117,7 +117,7 @@ int main(int argc, char* argv[]) {
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// The output of point() is in boost::optional<Point3>, as sometimes
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// the triangulation operation inside smart factor will encounter degeneracy.
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boost::optional<Point3> point = smart->point(result);
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if (point) // ignore if boost::optional return NULL
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if (point) // ignore if boost::optional return nullptr
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landmark_result.insert(j, *point);
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}
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}
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@ -114,7 +114,7 @@ int main(int argc, char* argv[]) {
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boost::dynamic_pointer_cast<SmartFactor>(graph[j]);
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if (smart) {
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boost::optional<Point3> point = smart->point(result);
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if (point) // ignore if boost::optional return NULL
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if (point) // ignore if boost::optional return nullptr
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landmark_result.insert(j, *point);
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}
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}
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@ -55,7 +55,7 @@ private:
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}
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// Private and very dangerous constructor straight from memory
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OptionalJacobian(double* data) : map_(NULL) {
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OptionalJacobian(double* data) : map_(nullptr) {
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if (data) usurp(data);
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}
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@ -66,25 +66,25 @@ public:
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/// Default constructor acts like boost::none
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OptionalJacobian() :
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map_(NULL) {
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map_(nullptr) {
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}
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/// Constructor that will usurp data of a fixed-size matrix
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OptionalJacobian(Jacobian& fixed) :
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map_(NULL) {
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map_(nullptr) {
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usurp(fixed.data());
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}
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/// Constructor that will usurp data of a fixed-size matrix, pointer version
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OptionalJacobian(Jacobian* fixedPtr) :
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map_(NULL) {
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map_(nullptr) {
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if (fixedPtr)
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usurp(fixedPtr->data());
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}
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/// Constructor that will resize a dynamic matrix (unless already correct)
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OptionalJacobian(Eigen::MatrixXd& dynamic) :
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map_(NULL) {
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map_(nullptr) {
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dynamic.resize(Rows, Cols); // no malloc if correct size
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usurp(dynamic.data());
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}
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@ -93,12 +93,12 @@ public:
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/// Constructor with boost::none just makes empty
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OptionalJacobian(boost::none_t /*none*/) :
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map_(NULL) {
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map_(nullptr) {
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}
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/// Constructor compatible with old-style derivatives
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OptionalJacobian(const boost::optional<Eigen::MatrixXd&> optional) :
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map_(NULL) {
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map_(nullptr) {
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if (optional) {
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optional->resize(Rows, Cols);
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usurp(optional->data());
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@ -110,11 +110,11 @@ public:
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/// Constructor that will usurp data of a block expression
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/// TODO(frank): unfortunately using a Map makes usurping non-contiguous memory impossible
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// template <typename Derived, bool InnerPanel>
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// OptionalJacobian(Eigen::Block<Derived,Rows,Cols,InnerPanel> block) : map_(NULL) { ?? }
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// OptionalJacobian(Eigen::Block<Derived,Rows,Cols,InnerPanel> block) : map_(nullptr) { ?? }
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/// Return true is allocated, false if default constructor was used
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operator bool() const {
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return map_.data() != NULL;
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return map_.data() != nullptr;
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}
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/// De-reference, like boost optional
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@ -173,7 +173,7 @@ public:
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/// Default constructor acts like boost::none
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OptionalJacobian() :
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pointer_(NULL) {
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pointer_(nullptr) {
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}
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/// Construct from pointer to dynamic matrix
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@ -186,12 +186,12 @@ public:
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/// Constructor with boost::none just makes empty
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OptionalJacobian(boost::none_t /*none*/) :
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pointer_(NULL) {
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pointer_(nullptr) {
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}
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/// Constructor compatible with old-style derivatives
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OptionalJacobian(const boost::optional<Eigen::MatrixXd&> optional) :
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pointer_(NULL) {
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pointer_(nullptr) {
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if (optional) pointer_ = &(*optional);
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}
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@ -199,7 +199,7 @@ public:
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/// Return true is allocated, false if default constructor was used
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operator bool() const {
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return pointer_!=NULL;
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return pointer_!=nullptr;
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}
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/// De-reference, like boost optional
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@ -53,7 +53,7 @@ namespace gtsam {
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// Run the post-order visitor
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(void) visitorPost(treeNode, *myData);
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return NULL;
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return nullptr;
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}
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};
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@ -88,7 +88,7 @@ namespace gtsam {
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{
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// Run the post-order visitor since this task was recycled to run the post-order visitor
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(void) visitorPost(treeNode, *myData);
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return NULL;
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return nullptr;
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}
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else
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{
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@ -129,14 +129,14 @@ namespace gtsam {
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{
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// Run the post-order visitor in this task if we have no children
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(void) visitorPost(treeNode, *myData);
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return NULL;
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return nullptr;
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}
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}
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else
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{
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// Process this node and its children in this task
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processNodeRecursively(treeNode, *myData);
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return NULL;
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return nullptr;
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}
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}
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}
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@ -184,8 +184,8 @@ namespace gtsam {
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set_ref_count(1 + (int) roots.size());
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// Spawn tasks
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spawn_and_wait_for_all(tasks);
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// Return NULL
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return NULL;
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// Return nullptr
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return nullptr;
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}
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};
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@ -101,7 +101,7 @@ namespace gtsam {
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/** Create a new function splitting on a variable */
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template<typename Iterator>
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AlgebraicDecisionTree(Iterator begin, Iterator end, const L& label) :
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Super(NULL) {
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Super(nullptr) {
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this->root_ = compose(begin, end, label);
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}
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@ -71,7 +71,7 @@ namespace gtsam {
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for (size_t i = 0; i < factors_.size(); i++) {
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std::stringstream ss;
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ss << "factor " << i << ": ";
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if (factors_[i] != NULL) factors_[i]->print(ss.str(), formatter);
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if (factors_[i] != nullptr) factors_[i]->print(ss.str(), formatter);
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}
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}
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@ -183,7 +183,7 @@ TEST (OrientedPlane3, jacobian_retract) {
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/* ************************************************************************* */
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int main() {
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srand(time(NULL));
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srand(time(nullptr));
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TestResult tr;
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return TestRegistry::runAllTests(tr);
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}
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@ -495,7 +495,7 @@ TEST(actualH, Serialization) {
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/* ************************************************************************* */
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int main() {
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srand(time(NULL));
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srand(time(nullptr));
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TestResult tr;
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return TestRegistry::runAllTests(tr);
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}
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@ -125,7 +125,7 @@ namespace gtsam {
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void BayesTree<CLIQUE>::addClique(const sharedClique& clique, const sharedClique& parent_clique) {
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for(Key j: clique->conditional()->frontals())
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nodes_[j] = clique;
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if (parent_clique != NULL) {
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if (parent_clique != nullptr) {
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clique->parent_ = parent_clique;
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parent_clique->children.push_back(clique);
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} else {
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@ -430,7 +430,7 @@ namespace gtsam {
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template <class CLIQUE>
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void BayesTree<CLIQUE>::removePath(sharedClique clique, BayesNetType* bn,
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Cliques* orphans) {
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// base case is NULL, if so we do nothing and return empties above
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// base case is nullptr, if so we do nothing and return empties above
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if (clique) {
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// remove the clique from orphans in case it has been added earlier
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orphans->remove(clique);
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@ -55,8 +55,8 @@ bool FactorGraph<FACTOR>::equals(const This& fg, double tol) const {
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// check whether the factors are the same, in same order.
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for (size_t i = 0; i < factors_.size(); i++) {
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sharedFactor f1 = factors_[i], f2 = fg.factors_[i];
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if (f1 == NULL && f2 == NULL) continue;
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if (f1 == NULL || f2 == NULL) return false;
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if (f1 == nullptr && f2 == nullptr) continue;
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if (f1 == nullptr || f2 == nullptr) return false;
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if (!f1->equals(*f2, tol)) return false;
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}
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return true;
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@ -353,7 +353,7 @@ class FactorGraph {
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*/
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void resize(size_t size) { factors_.resize(size); }
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/** delete factor without re-arranging indexes by inserting a NULL pointer
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/** delete factor without re-arranging indexes by inserting a nullptr pointer
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*/
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void remove(size_t i) { factors_[i].reset(); }
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@ -91,7 +91,7 @@ Ordering Ordering::ColamdConstrained(const VariableIndex& variableIndex,
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assert((size_t)count == variableIndex.nEntries());
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//double* knobs = NULL; /* colamd arg 6: parameters (uses defaults if NULL) */
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//double* knobs = nullptr; /* colamd arg 6: parameters (uses defaults if nullptr) */
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double knobs[CCOLAMD_KNOBS];
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ccolamd_set_defaults(knobs);
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knobs[CCOLAMD_DENSE_ROW] = -1;
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@ -235,7 +235,7 @@ Ordering Ordering::Metis(const MetisIndex& met) {
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int outputError;
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outputError = METIS_NodeND(&size, &xadj[0], &adj[0], NULL, NULL, &perm[0],
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outputError = METIS_NodeND(&size, &xadj[0], &adj[0], nullptr, nullptr, &perm[0],
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&iperm[0]);
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Ordering result;
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@ -840,7 +840,7 @@ GaussianConditional::shared_ptr JacobianFactor::splitConditional(size_t nrFronta
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if (!model_) {
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throw std::invalid_argument(
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"JacobianFactor::splitConditional cannot be given a NULL noise model");
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"JacobianFactor::splitConditional cannot be given a nullptr noise model");
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}
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if (nrFrontals > size()) {
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@ -398,7 +398,7 @@ namespace gtsam {
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* @param keys in some order
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* @param diemnsions of the variables in same order
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* @param m output dimension
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* @param model noise model (default NULL)
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* @param model noise model (default nullptr)
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*/
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template<class KEYS, class DIMENSIONS>
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JacobianFactor(const KEYS& keys, const DIMENSIONS& dims, DenseIndex m,
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@ -153,7 +153,7 @@ void Fair::print(const std::string &s="") const
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bool Fair::equals(const Base &expected, double tol) const {
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const Fair* p = dynamic_cast<const Fair*> (&expected);
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if (p == NULL) return false;
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if (p == nullptr) return false;
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return std::abs(c_ - p->c_ ) < tol;
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}
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@ -190,7 +190,7 @@ void Huber::print(const std::string &s="") const {
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bool Huber::equals(const Base &expected, double tol) const {
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const Huber* p = dynamic_cast<const Huber*>(&expected);
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if (p == NULL) return false;
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if (p == nullptr) return false;
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return std::abs(k_ - p->k_) < tol;
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}
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@ -223,7 +223,7 @@ void Cauchy::print(const std::string &s="") const {
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bool Cauchy::equals(const Base &expected, double tol) const {
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const Cauchy* p = dynamic_cast<const Cauchy*>(&expected);
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if (p == NULL) return false;
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if (p == nullptr) return false;
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return std::abs(ksquared_ - p->ksquared_) < tol;
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}
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@ -266,7 +266,7 @@ void Tukey::print(const std::string &s="") const {
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bool Tukey::equals(const Base &expected, double tol) const {
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const Tukey* p = dynamic_cast<const Tukey*>(&expected);
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if (p == NULL) return false;
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if (p == nullptr) return false;
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return std::abs(c_ - p->c_) < tol;
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}
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@ -296,7 +296,7 @@ void Welsch::print(const std::string &s="") const {
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bool Welsch::equals(const Base &expected, double tol) const {
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const Welsch* p = dynamic_cast<const Welsch*>(&expected);
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if (p == NULL) return false;
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if (p == nullptr) return false;
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return std::abs(c_ - p->c_) < tol;
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}
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@ -330,7 +330,7 @@ void GemanMcClure::print(const std::string &s="") const {
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bool GemanMcClure::equals(const Base &expected, double tol) const {
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const GemanMcClure* p = dynamic_cast<const GemanMcClure*>(&expected);
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if (p == NULL) return false;
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if (p == nullptr) return false;
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return std::abs(c_ - p->c_) < tol;
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}
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@ -372,7 +372,7 @@ void DCS::print(const std::string &s="") const {
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bool DCS::equals(const Base &expected, double tol) const {
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const DCS* p = dynamic_cast<const DCS*>(&expected);
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if (p == NULL) return false;
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if (p == nullptr) return false;
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return std::abs(c_ - p->c_) < tol;
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}
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@ -411,7 +411,7 @@ void L2WithDeadZone::print(const std::string &s="") const {
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bool L2WithDeadZone::equals(const Base &expected, double tol) const {
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const L2WithDeadZone* p = dynamic_cast<const L2WithDeadZone*>(&expected);
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if (p == NULL) return false;
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if (p == nullptr) return false;
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return std::abs(k_ - p->k_) < tol;
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}
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@ -133,7 +133,7 @@ void Gaussian::print(const string& name) const {
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/* ************************************************************************* */
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bool Gaussian::equals(const Base& expected, double tol) const {
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const Gaussian* p = dynamic_cast<const Gaussian*> (&expected);
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if (p == NULL) return false;
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if (p == nullptr) return false;
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if (typeid(*this) != typeid(*p)) return false;
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//if (!sqrt_information_) return true; // ALEX todo;
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return equal_with_abs_tol(R(), p->R(), sqrt(tol));
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@ -624,7 +624,7 @@ void Robust::print(const std::string& name) const {
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bool Robust::equals(const Base& expected, double tol) const {
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const Robust* p = dynamic_cast<const Robust*> (&expected);
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if (p == NULL) return false;
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if (p == nullptr) return false;
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return noise_->equals(*p->noise_,tol) && robust_->equals(*p->robust_,tol);
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}
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@ -253,7 +253,7 @@ TEST(JacobianFactor, error)
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/* ************************************************************************* */
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TEST(JacobianFactor, matrices_NULL)
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{
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// Make sure everything works with NULL noise model
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// Make sure everything works with nullptr noise model
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JacobianFactor factor(simple::terms, simple::b);
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Matrix jacobianExpected(3, 9);
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@ -114,7 +114,7 @@ void AHRSFactor::print(const string& s,
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//------------------------------------------------------------------------------
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bool AHRSFactor::equals(const NonlinearFactor& other, double tol) const {
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const This *e = dynamic_cast<const This*>(&other);
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return e != NULL && Base::equals(*e, tol) && _PIM_.equals(e->_PIM_, tol);
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return e != nullptr && Base::equals(*e, tol) && _PIM_.equals(e->_PIM_, tol);
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}
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//------------------------------------------------------------------------------
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@ -52,7 +52,7 @@ void Rot3AttitudeFactor::print(const string& s,
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bool Rot3AttitudeFactor::equals(const NonlinearFactor& expected,
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double tol) const {
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const This* e = dynamic_cast<const This*>(&expected);
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return e != NULL && Base::equals(*e, tol) && this->nZ_.equals(e->nZ_, tol)
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return e != nullptr && Base::equals(*e, tol) && this->nZ_.equals(e->nZ_, tol)
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&& this->bRef_.equals(e->bRef_, tol);
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}
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@ -69,7 +69,7 @@ void Pose3AttitudeFactor::print(const string& s,
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bool Pose3AttitudeFactor::equals(const NonlinearFactor& expected,
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double tol) const {
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const This* e = dynamic_cast<const This*>(&expected);
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return e != NULL && Base::equals(*e, tol) && this->nZ_.equals(e->nZ_, tol)
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return e != nullptr && Base::equals(*e, tol) && this->nZ_.equals(e->nZ_, tol)
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&& this->bRef_.equals(e->bRef_, tol);
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}
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@ -174,7 +174,7 @@ void CombinedImuFactor::print(const string& s,
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//------------------------------------------------------------------------------
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bool CombinedImuFactor::equals(const NonlinearFactor& other, double tol) const {
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const This* e = dynamic_cast<const This*>(&other);
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return e != NULL && Base::equals(*e, tol) && _PIM_.equals(e->_PIM_, tol);
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return e != nullptr && Base::equals(*e, tol) && _PIM_.equals(e->_PIM_, tol);
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}
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//------------------------------------------------------------------------------
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@ -32,7 +32,7 @@ void GPSFactor::print(const string& s, const KeyFormatter& keyFormatter) const {
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//***************************************************************************
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bool GPSFactor::equals(const NonlinearFactor& expected, double tol) const {
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const This* e = dynamic_cast<const This*>(&expected);
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return e != NULL && Base::equals(*e, tol) && traits<Point3>::Equals(nT_, e->nT_, tol);
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return e != nullptr && Base::equals(*e, tol) && traits<Point3>::Equals(nT_, e->nT_, tol);
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}
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//***************************************************************************
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@ -73,7 +73,7 @@ void GPSFactor2::print(const string& s, const KeyFormatter& keyFormatter) const
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//***************************************************************************
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bool GPSFactor2::equals(const NonlinearFactor& expected, double tol) const {
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const This* e = dynamic_cast<const This*>(&expected);
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return e != NULL && Base::equals(*e, tol) &&
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return e != nullptr && Base::equals(*e, tol) &&
|
||||
traits<Point3>::Equals(nT_, e->nT_, tol);
|
||||
}
|
||||
|
||||
|
|
|
@ -219,7 +219,7 @@ struct GTSAM_EXPORT ISAM2Params {
|
|||
|
||||
/// When you will be removing many factors, e.g. when using ISAM2 as a
|
||||
/// fixed-lag smoother, enable this option to add factors in the first
|
||||
/// available factor slots, to avoid accumulating NULL factor slots, at the
|
||||
/// available factor slots, to avoid accumulating nullptr factor slots, at the
|
||||
/// cost of having to search for slots every time a factor is added.
|
||||
bool findUnusedFactorSlots;
|
||||
|
||||
|
|
|
@ -54,7 +54,7 @@ void NonlinearFactorGraph::print(const std::string& str, const KeyFormatter& key
|
|||
for (size_t i = 0; i < factors_.size(); i++) {
|
||||
stringstream ss;
|
||||
ss << "Factor " << i << ": ";
|
||||
if (factors_[i] != NULL) factors_[i]->print(ss.str(), keyFormatter);
|
||||
if (factors_[i] != nullptr) factors_[i]->print(ss.str(), keyFormatter);
|
||||
cout << endl;
|
||||
}
|
||||
}
|
||||
|
@ -67,8 +67,8 @@ void NonlinearFactorGraph::printErrors(const Values& values, const std::string&
|
|||
for (size_t i = 0; i < factors_.size(); i++) {
|
||||
stringstream ss;
|
||||
ss << "Factor " << i << ": ";
|
||||
if (factors_[i] == NULL) {
|
||||
cout << "NULL" << endl;
|
||||
if (factors_[i] == nullptr) {
|
||||
cout << "nullptr" << endl;
|
||||
} else {
|
||||
factors_[i]->print(ss.str(), keyFormatter);
|
||||
cout << "error = " << factors_[i]->error(values) << endl;
|
||||
|
|
|
@ -98,7 +98,7 @@ struct Record: public internal::CallRecordImplementor<Record, Cols> {
|
|||
friend struct internal::CallRecordImplementor;
|
||||
};
|
||||
|
||||
internal::JacobianMap & NJM= *static_cast<internal::JacobianMap *>(NULL);
|
||||
internal::JacobianMap & NJM= *static_cast<internal::JacobianMap *>(nullptr);
|
||||
|
||||
/* ************************************************************************* */
|
||||
typedef Eigen::Matrix<double, Eigen::Dynamic, Cols> DynRowMat;
|
||||
|
|
|
@ -67,7 +67,7 @@ namespace gtsam {
|
|||
/** equals */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL && Base::equals(*e, tol) && this->factor_->equals(*e->factor_, tol);
|
||||
return e != nullptr && Base::equals(*e, tol) && this->factor_->equals(*e->factor_, tol);
|
||||
}
|
||||
|
||||
/** implement functions needed to derive from Factor */
|
||||
|
|
|
@ -81,7 +81,7 @@ namespace gtsam {
|
|||
/** equals */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL && Base::equals(*e, tol) && traits<T>::Equals(this->measured_, e->measured_, tol);
|
||||
return e != nullptr && Base::equals(*e, tol) && traits<T>::Equals(this->measured_, e->measured_, tol);
|
||||
}
|
||||
|
||||
/** implement functions needed to derive from Factor */
|
||||
|
|
|
@ -37,7 +37,7 @@ void EssentialMatrixConstraint::print(const std::string& s,
|
|||
bool EssentialMatrixConstraint::equals(const NonlinearFactor& expected,
|
||||
double tol) const {
|
||||
const This *e = dynamic_cast<const This*>(&expected);
|
||||
return e != NULL && Base::equals(*e, tol)
|
||||
return e != nullptr && Base::equals(*e, tol)
|
||||
&& this->measuredE_.equals(e->measuredE_, tol);
|
||||
}
|
||||
|
||||
|
|
|
@ -65,7 +65,7 @@ public:
|
|||
Base() {
|
||||
size_t numKeys = Enull.rows() / ZDim;
|
||||
size_t m2 = ZDim * numKeys - 3; // TODO: is this not just Enull.rows()?
|
||||
// PLAIN NULL SPACE TRICK
|
||||
// PLAIN nullptr SPACE TRICK
|
||||
// Matrix Q = Enull * Enull.transpose();
|
||||
// for(const KeyMatrixZD& it: Fblocks)
|
||||
// QF.push_back(KeyMatrix(it.first, Q.block(0, 2 * j++, m2, 2) * it.second));
|
||||
|
|
|
@ -31,7 +31,7 @@ void OrientedPlane3DirectionPrior::print(const string& s,
|
|||
bool OrientedPlane3DirectionPrior::equals(const NonlinearFactor& expected,
|
||||
double tol) const {
|
||||
const This* e = dynamic_cast<const This*>(&expected);
|
||||
return e != NULL && Base::equals(*e, tol)
|
||||
return e != nullptr && Base::equals(*e, tol)
|
||||
&& this->measured_p_.equals(e->measured_p_, tol);
|
||||
}
|
||||
|
||||
|
|
|
@ -62,7 +62,7 @@ public:
|
|||
/** equals specialized to this factor */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL && Base::equals(*e, tol) && measured_.equals(e->measured_, tol);
|
||||
return e != nullptr && Base::equals(*e, tol) && measured_.equals(e->measured_, tol);
|
||||
}
|
||||
|
||||
/** print contents */
|
||||
|
|
|
@ -76,7 +76,7 @@ public:
|
|||
/** equals specialized to this factor */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL && Base::equals(*e, tol) && traits<Translation>::Equals(measured_, e->measured_, tol);
|
||||
return e != nullptr && Base::equals(*e, tol) && traits<Translation>::Equals(measured_, e->measured_, tol);
|
||||
}
|
||||
|
||||
/** print contents */
|
||||
|
|
|
@ -85,7 +85,7 @@ namespace gtsam {
|
|||
/** equals */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This* e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL && Base::equals(*e, tol) && traits<T>::Equals(prior_, e->prior_, tol);
|
||||
return e != nullptr && Base::equals(*e, tol) && traits<T>::Equals(prior_, e->prior_, tol);
|
||||
}
|
||||
|
||||
/** implement functions needed to derive from Factor */
|
||||
|
|
|
@ -175,7 +175,7 @@ TEST( OrientedPlane3DirectionPrior, Constructor ) {
|
|||
|
||||
/* ************************************************************************* */
|
||||
int main() {
|
||||
srand(time(NULL));
|
||||
srand(time(nullptr));
|
||||
TestResult tr;
|
||||
return TestRegistry::runAllTests(tr);
|
||||
}
|
||||
|
|
|
@ -72,7 +72,7 @@ namespace gtsam {
|
|||
}; // Node
|
||||
|
||||
// We store a shared pointer to the root of the functional tree
|
||||
// composed of Node classes. If root_==NULL, the tree is empty.
|
||||
// composed of Node classes. If root_==nullptr, the tree is empty.
|
||||
typedef boost::shared_ptr<const Node> sharedNode;
|
||||
sharedNode root_;
|
||||
|
||||
|
@ -223,7 +223,7 @@ namespace gtsam {
|
|||
|
||||
/** Return height of the tree, 0 if empty */
|
||||
size_t height() const {
|
||||
return (root_ != NULL) ? root_->height_ : 0;
|
||||
return (root_ != nullptr) ? root_->height_ : 0;
|
||||
}
|
||||
|
||||
/** return size of the tree */
|
||||
|
|
|
@ -136,7 +136,7 @@ TEST(LinearEquality, error)
|
|||
/* ************************************************************************* */
|
||||
TEST(LinearEquality, matrices_NULL)
|
||||
{
|
||||
// Make sure everything works with NULL noise model
|
||||
// Make sure everything works with nullptr noise model
|
||||
LinearEquality factor(simple::terms, simple::b, 0);
|
||||
|
||||
Matrix AExpected(3, 9);
|
||||
|
|
|
@ -39,7 +39,7 @@ bool BatchFixedLagSmoother::equals(const FixedLagSmoother& rhs,
|
|||
double tol) const {
|
||||
const BatchFixedLagSmoother* e =
|
||||
dynamic_cast<const BatchFixedLagSmoother*>(&rhs);
|
||||
return e != NULL && FixedLagSmoother::equals(*e, tol)
|
||||
return e != nullptr && FixedLagSmoother::equals(*e, tol)
|
||||
&& factors_.equals(e->factors_, tol) && theta_.equals(e->theta_, tol);
|
||||
}
|
||||
|
||||
|
@ -145,7 +145,7 @@ void BatchFixedLagSmoother::removeFactors(
|
|||
} else {
|
||||
// TODO: Throw an error??
|
||||
cout << "Attempting to remove a factor from slot " << slot
|
||||
<< ", but it is already NULL." << endl;
|
||||
<< ", but it is already nullptr." << endl;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
@ -370,7 +370,7 @@ void BatchFixedLagSmoother::PrintSymbolicFactor(
|
|||
cout << " " << DefaultKeyFormatter(key);
|
||||
}
|
||||
} else {
|
||||
cout << " NULL";
|
||||
cout << " nullptr";
|
||||
}
|
||||
cout << " )" << endl;
|
||||
}
|
||||
|
|
|
@ -38,7 +38,7 @@ void ConcurrentBatchFilter::PrintNonlinearFactor(const NonlinearFactor::shared_p
|
|||
}
|
||||
std::cout << ")" << std::endl;
|
||||
} else {
|
||||
std::cout << "{ NULL }" << std::endl;
|
||||
std::cout << "{ nullptr }" << std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -79,7 +79,7 @@ void ConcurrentBatchFilter::PrintLinearFactor(const GaussianFactor::shared_ptr&
|
|||
}
|
||||
std::cout << ")" << std::endl;
|
||||
} else {
|
||||
std::cout << "{ NULL }" << std::endl;
|
||||
std::cout << "{ nullptr }" << std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
@ -394,7 +394,7 @@ void ConcurrentBatchSmoother::PrintNonlinearFactor(const NonlinearFactor::shared
|
|||
}
|
||||
std::cout << ")" << std::endl;
|
||||
} else {
|
||||
std::cout << "{ NULL }" << std::endl;
|
||||
std::cout << "{ nullptr }" << std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -408,7 +408,7 @@ void ConcurrentBatchSmoother::PrintLinearFactor(const GaussianFactor::shared_ptr
|
|||
}
|
||||
std::cout << ")" << std::endl;
|
||||
} else {
|
||||
std::cout << "{ NULL }" << std::endl;
|
||||
std::cout << "{ nullptr }" << std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
@ -58,7 +58,7 @@ bool IncrementalFixedLagSmoother::equals(const FixedLagSmoother& rhs,
|
|||
double tol) const {
|
||||
const IncrementalFixedLagSmoother* e =
|
||||
dynamic_cast<const IncrementalFixedLagSmoother*>(&rhs);
|
||||
return e != NULL && FixedLagSmoother::equals(*e, tol)
|
||||
return e != nullptr && FixedLagSmoother::equals(*e, tol)
|
||||
&& isam_.equals(e->isam_, tol);
|
||||
}
|
||||
|
||||
|
|
|
@ -83,14 +83,14 @@ namespace gtsam { namespace partition {
|
|||
graph_t *graph;
|
||||
real_t *tpwgts2;
|
||||
ctrl_t *ctrl;
|
||||
ctrl = SetupCtrl(METIS_OP_OMETIS, options, 1, 3, NULL, NULL);
|
||||
ctrl = SetupCtrl(METIS_OP_OMETIS, options, 1, 3, nullptr, nullptr);
|
||||
ctrl->iptype = METIS_IPTYPE_GROW;
|
||||
//if () == NULL)
|
||||
//if () == nullptr)
|
||||
// return METIS_ERROR_INPUT;
|
||||
|
||||
InitRandom(ctrl->seed);
|
||||
|
||||
graph = SetupGraph(ctrl, *nvtxs, 1, xadj, adjncy, vwgt, NULL, NULL);
|
||||
graph = SetupGraph(ctrl, *nvtxs, 1, xadj, adjncy, vwgt, nullptr, nullptr);
|
||||
|
||||
AllocateWorkSpace(ctrl, graph);
|
||||
|
||||
|
|
|
@ -66,7 +66,7 @@ namespace gtsam {
|
|||
/** equals */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL && Base::equals(*e, tol) && traits<Point3>::Equals(this->measured_, e->measured_, tol);
|
||||
return e != nullptr && Base::equals(*e, tol) && traits<Point3>::Equals(this->measured_, e->measured_, tol);
|
||||
}
|
||||
|
||||
/** implement functions needed to derive from Factor */
|
||||
|
|
|
@ -155,7 +155,7 @@ public:
|
|||
/** equals */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL && Base::equals(*e, tol)
|
||||
return e != nullptr && Base::equals(*e, tol)
|
||||
&& (delta_pos_in_t0_ - e->delta_pos_in_t0_).norm() < tol
|
||||
&& (delta_vel_in_t0_ - e->delta_vel_in_t0_).norm() < tol
|
||||
&& (delta_angles_ - e->delta_angles_).norm() < tol
|
||||
|
|
|
@ -153,7 +153,7 @@ public:
|
|||
/** equals */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL && Base::equals(*e, tol)
|
||||
return e != nullptr && Base::equals(*e, tol)
|
||||
&& (delta_pos_in_t0_ - e->delta_pos_in_t0_).norm() < tol
|
||||
&& (delta_vel_in_t0_ - e->delta_vel_in_t0_).norm() < tol
|
||||
&& (delta_angles_ - e->delta_angles_).norm() < tol
|
||||
|
|
|
@ -81,7 +81,7 @@ public:
|
|||
/** equals */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL && Base::equals(*e, tol);
|
||||
return e != nullptr && Base::equals(*e, tol);
|
||||
}
|
||||
|
||||
/** implement functions needed to derive from Factor */
|
||||
|
|
|
@ -135,7 +135,7 @@ public:
|
|||
/** equals */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL && Base::equals(*e, tol)
|
||||
return e != nullptr && Base::equals(*e, tol)
|
||||
&& (measurement_acc_ - e->measurement_acc_).norm() < tol
|
||||
&& (measurement_gyro_ - e->measurement_gyro_).norm() < tol
|
||||
&& (dt_ - e->dt_) < tol
|
||||
|
|
|
@ -100,7 +100,7 @@ namespace gtsam {
|
|||
/** equals */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL && Base::equals(*e, tol) &&
|
||||
return e != nullptr && Base::equals(*e, tol) &&
|
||||
gtsam::equal_with_abs_tol(this->prior_, e->prior_, tol) &&
|
||||
this->mask_ == e->mask_;
|
||||
}
|
||||
|
|
|
@ -79,7 +79,7 @@ namespace gtsam {
|
|||
/** equals */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL
|
||||
return e != nullptr
|
||||
&& Base::equals(*e, tol)
|
||||
&& this->measured_.equals(e->measured_, tol)
|
||||
&& ((!body_P_sensor_ && !e->body_P_sensor_) || (body_P_sensor_ && e->body_P_sensor_ && body_P_sensor_->equals(*e->body_P_sensor_)));
|
||||
|
|
|
@ -74,7 +74,7 @@ namespace gtsam {
|
|||
/** equals */
|
||||
virtual bool equals(const NonlinearFactor& expected, double tol=1e-9) const {
|
||||
const This* e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL
|
||||
return e != nullptr
|
||||
&& Base::equals(*e, tol)
|
||||
&& this->prior_.equals(e->prior_, tol)
|
||||
&& ((!body_P_sensor_ && !e->body_P_sensor_) || (body_P_sensor_ && e->body_P_sensor_ && body_P_sensor_->equals(*e->body_P_sensor_)));
|
||||
|
|
|
@ -38,7 +38,7 @@ Vector RelativeElevationFactor::evaluateError(const Pose3& pose, const Point3& p
|
|||
/* ************************************************************************* */
|
||||
bool RelativeElevationFactor::equals(const NonlinearFactor& expected, double tol) const {
|
||||
const This *e = dynamic_cast<const This*> (&expected);
|
||||
return e != NULL && Base::equals(*e, tol) && std::abs(this->measured_ - e->measured_) < tol;
|
||||
return e != nullptr && Base::equals(*e, tol) && std::abs(this->measured_ - e->measured_) < tol;
|
||||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
|
|
|
@ -162,7 +162,7 @@ public:
|
|||
/** Check if two factors are equal. Note type is IndexFactor and needs cast. */
|
||||
virtual bool equals(const NonlinearFactor& f, double tol = 1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&f);
|
||||
return (e != NULL) && (key1() == e->key1()) && (key2() == e->key2());
|
||||
return (e != nullptr) && (key1() == e->key1()) && (key2() == e->key2());
|
||||
}
|
||||
|
||||
/**
|
||||
|
@ -196,7 +196,7 @@ public:
|
|||
Vector b = -evaluateError(x1, x2, A1, A2);
|
||||
SharedDiagonal constrained =
|
||||
boost::dynamic_pointer_cast<noiseModel::Constrained>(this->noiseModel_);
|
||||
if (constrained.get() != NULL) {
|
||||
if (constrained.get() != nullptr) {
|
||||
return JacobianFactor::shared_ptr(new JacobianFactor(key1(), A1, key2(),
|
||||
A2, b, constrained));
|
||||
}
|
||||
|
@ -292,7 +292,7 @@ public:
|
|||
/** Check if two factors are equal. Note type is IndexFactor and needs cast. */
|
||||
virtual bool equals(const NonlinearFactor& f, double tol = 1e-9) const {
|
||||
const This *e = dynamic_cast<const This*> (&f);
|
||||
return (e != NULL) && Base::equals(f);
|
||||
return (e != nullptr) && Base::equals(f);
|
||||
}
|
||||
|
||||
/**
|
||||
|
@ -325,7 +325,7 @@ public:
|
|||
Vector b = -evaluateError(x1, A1);
|
||||
SharedDiagonal constrained =
|
||||
boost::dynamic_pointer_cast<noiseModel::Constrained>(this->noiseModel_);
|
||||
if (constrained.get() != NULL) {
|
||||
if (constrained.get() != nullptr) {
|
||||
return JacobianFactor::shared_ptr(new JacobianFactor(key(), A1, b, constrained));
|
||||
}
|
||||
// "Whiten" the system before converting to a Gaussian Factor
|
||||
|
|
Loading…
Reference in New Issue