replace typedef with using and improve docstrings

release/4.3a0
Varun Agrawal 2022-01-03 00:04:06 -05:00
parent 174490eb51
commit cfb6011560
3 changed files with 42 additions and 16 deletions

View File

@ -113,6 +113,7 @@ namespace gtsam {
template<typename M>
AlgebraicDecisionTree(const AlgebraicDecisionTree<M>& other,
const std::map<M, L>& map) {
// Functor for label conversion so we can use `convertFrom`.
std::function<L(const M&)> L_of_M = [&map](const M& label) -> L {
return map.at(label);
};

View File

@ -82,13 +82,19 @@ namespace gtsam {
return compare(this->constant_, other->constant_);
}
/** print */
/**
* @brief Print method.
*
* @param s Prefix string.
* @param labelFormatter Functor to format the node label.
* @param valueFormatter Functor to format the node value.
*/
void print(const std::string& s, const LabelFormatter& labelFormatter,
const ValueFormatter& valueFormatter) const override {
std::cout << s << " Leaf " << valueFormatter(constant_) << std::endl;
}
/** to graphviz file */
/** Write graphviz format to stream `os`. */
void dot(std::ostream& os, const LabelFormatter& labelFormatter,
const ValueFormatter& valueFormatter,
bool showZero) const override {
@ -154,7 +160,7 @@ namespace gtsam {
/** incremental allSame */
size_t allSame_;
typedef boost::shared_ptr<const Choice> ChoicePtr;
using ChoicePtr = boost::shared_ptr<const Choice>;
public:
@ -462,6 +468,7 @@ namespace gtsam {
template <typename X>
DecisionTree<L, Y>::DecisionTree(const DecisionTree<L, X>& other,
std::function<Y(const X&)> Y_of_X) {
// Define functor for identity mapping of node label.
auto L_of_L = [](const L& label) { return label; };
root_ = convertFrom<L, X>(Y_of_X, L_of_L);
}
@ -594,11 +601,11 @@ namespace gtsam {
const typename DecisionTree<M, X>::NodePtr& f,
std::function<L(const M&)> L_of_M,
std::function<Y(const X&)> Y_of_X) const {
typedef DecisionTree<M, X> MX;
typedef typename MX::Leaf MXLeaf;
typedef typename MX::Choice MXChoice;
typedef typename MX::NodePtr MXNodePtr;
typedef DecisionTree<L, Y> LY;
using MX = DecisionTree<M, X>;
using MXLeaf = typename MX::Leaf;
using MXChoice = typename MX::Choice;
using MXNodePtr = typename MX::NodePtr;
using LY = DecisionTree<L, Y>;
// ugliness below because apparently we can't have templated virtual functions
// If leaf, apply unary conversion "op" and create a unique leaf

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@ -64,11 +64,11 @@ namespace gtsam {
using CompareFunc = std::function<bool(const Y&, const Y&)>;
/** Handy typedefs for unary and binary function types */
typedef std::function<Y(const Y&)> Unary;
typedef std::function<Y(const Y&, const Y&)> Binary;
using Unary = std::function<Y(const Y&)>;
using Binary = std::function<Y(const Y&, const Y&)>;
/** A label annotated with cardinality */
typedef std::pair<L,size_t> LabelC;
using LabelC = std::pair<L,size_t>;
/** DTs consist of Leaf and Choice nodes, both subclasses of Node */
class Leaf;
@ -77,7 +77,7 @@ namespace gtsam {
/** ------------------------ Node base class --------------------------- */
class Node {
public:
typedef boost::shared_ptr<const Node> Ptr;
using Ptr = boost::shared_ptr<const Node>;
#ifdef DT_DEBUG_MEMORY
static int nrNodes;
@ -128,7 +128,7 @@ namespace gtsam {
/** A function is a shared pointer to the root of a DT */
using NodePtr = typename Node::Ptr;
/// a DecisionTree just contains the root. TODO(dellaert): make protected.
/// A DecisionTree just contains the root. TODO(dellaert): make protected.
NodePtr root_;
protected:
@ -137,7 +137,16 @@ namespace gtsam {
template<typename It, typename ValueIt>
NodePtr create(It begin, It end, ValueIt beginY, ValueIt endY) const;
/// Convert from a DecisionTree<M, X>.
/**
* @brief Convert from a DecisionTree<M, X> to DecisionTree<L, Y>.
*
* @tparam M The previous label type.
* @tparam X The previous node type.
* @param f The node pointer to the root of the previous DecisionTree.
* @param L_of_M Functor to convert from label type M to type L.
* @param Y_of_X Functor to convert from node type X to type Y.
* @return NodePtr
*/
template <typename M, typename X>
NodePtr convertFrom(const typename DecisionTree<M, X>::NodePtr& f,
std::function<L(const M&)> L_of_M,
@ -174,7 +183,13 @@ namespace gtsam {
DecisionTree(const L& label, //
const DecisionTree& f0, const DecisionTree& f1);
/** Convert from a different type. */
/**
* @brief Convert from a different node type.
*
* @tparam X The previous node type.
* @param other The DecisionTree to convert from.
* @param Y_of_X Functor to convert from node type X to type Y.
*/
template <typename X>
DecisionTree(const DecisionTree<L, X>& other,
std::function<Y(const X&)> Y_of_X);
@ -220,7 +235,7 @@ namespace gtsam {
virtual ~DecisionTree() {
}
/** empty tree? */
/// Check if tree is empty.
bool empty() const { return !root_; }
/** equality */
@ -283,18 +298,21 @@ namespace gtsam {
/** free versions of apply */
/// Apply unary operator `op` to DecisionTree `f`.
template<typename L, typename Y>
DecisionTree<L, Y> apply(const DecisionTree<L, Y>& f,
const typename DecisionTree<L, Y>::Unary& op) {
return f.apply(op);
}
/// Apply unary operator `op` to DecisionTree `f` but with node type.
template<typename L, typename Y, typename X>
DecisionTree<L, Y> apply(const DecisionTree<L, Y>& f,
const std::function<Y(const X&)>& op) {
return f.apply(op);
}
/// Apply binary operator `op` to DecisionTree `f`.
template<typename L, typename Y>
DecisionTree<L, Y> apply(const DecisionTree<L, Y>& f,
const DecisionTree<L, Y>& g,