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Binary Search Tree

A C++17 implementation of an AVL-Tree that can be used either as a Key set or as a Key-Value map.

It covers most of what the std::set and std::map interfaces offer

As a Key set:

using namespace containers::trees;

// (1) Default constructor
BinarySearchTree<std::string> a{};

a.add("CAT");
a["DOG"];
a.add({"HORSE", "FROG", "CROCODILE"});

std::cout << "(1) Default constructor: ";

for(const auto& node : a) std::cout << node.get_key() << ' ';
std::cout << "\n----------------\n";

// (2) Iterator constructor
BinarySearchTree<std::string> b(a.find("DOG"), a.end());

std::cout << "(2) Iterator constructor: ";

for(const auto& node : b) std::cout << node.get_key() << ' ';
std::cout << "\n----------------\n";

// (3) Copy constructor
BinarySearchTree<std::string> c(a);

c.add("ANOTHER HORSE");

std::cout << "(3) Copy constructor: ";

for(const auto& node : c) std::cout << node.get_key() << ' ';
std::cout << "\n----------------\n";

// (4) Move constructor
BinarySearchTree<std::string> d(std::move(a));

std::cout << "(4) Move constructor: ";

for(const auto& node : d) std::cout << node.get_key() << ' ';
std::cout << '\n';

std::cout << "'a' after moving: ";
for(const auto& node : a) std::cout << node.get_key() << ' ';
std::cout << "\n----------------\n";

// (5) Initializer list constructor
BinarySearchTree<std::string> e {"ONE", "TWO", "THREE", "FIVE", "EIGHT"};

std::cout << "(5) Initializer list constructor: ";

for(const auto& node : e) std::cout << node.get_key() << ' ';
std::cout << "\n----------------\n";

// custom comparison
struct Point
{
	double x, y;

	bool operator==(const Point& other) const
	{
		return std::hypot(x, y) == std::hypot(other.x, other.y);
	}
};

struct PointCmp {

	bool operator()(const Point& lhs, const Point& rhs) const
	{
		return std::hypot(lhs.x, lhs.y) < std::hypot(rhs.x, rhs.y);
	}

};

BinarySearchTree<Point, PointCmp> z {{2, 5}, {3, 4}, {1, 1}};

z[{1, -1}]; // this doesn't add because the magnitude of (1,-1) equals (1,1)

std::cout << "(6) custom comparison: ";

for(const auto& node : z) std::cout << '(' << node.get_key().x << ',' << node.get_key().y << ") ";
std::cout << '\n';

As a Key-Value map:

using namespace containers::trees;

auto print_map = [](const auto& tree)
{
	std::string output{};
	std::ostringstream oss{};

	std::cout << '{';

	for(const auto& node : tree) {

		if(!output.empty()) output += ", ";

		oss << node.get_key() << " : " << node.get_value().value();

		output += oss.str();

		oss.str({});

	}

	std::cout << output << "}\n";
};

// (1) Default constructor

// Using helper function
auto map1 = make_asc_bst<std::string, int>(); // or 'make_bst' for default ascending order, or 'make_desc_bst' for descending order

map1["SOMETHING"]  = 69;
map1["ANYTHING"]   = 199;
map1["THAT THING"] = 50;

std::cout << "(1) Default constructor:\nmap1 = "; print_map(map1);

std::cout << "----------------\n";

// (2) Range constructor
auto iter = make_asc_bst<std::string, int>(map1.find("ANYTHING"), map1.end());

std::cout << "(2) Range constructor:\niter = "; print_map(iter);
std::cout << "\nmap1 = "; print_map(map1);

std::cout << "----------------\n";

// (3) Copy constructor
auto copied = make_asc_bst<std::string, int>(map1);

std::cout << "(3) Copy constructor:\ncopied = "; print_map(copied);
std::cout << "\nmap1 = "; print_map(map1);

std::cout << "----------------\n";

// (4) Move constructor
auto moved = make_asc_bst<std::string, int>(std::move(map1));

std::cout << "(4) Move constructor:\nmoved = "; print_map(moved);
std::cout << "\nmap1 = "; print_map(map1);

std::cout << "----------------\n";

// (5) Initializer list constructor
const auto init = make_asc_bst<std::string, int>({

	{"this", 100},
	{"can", 100},
	{"be", 100},
	{"const", 100},

});

std::cout << "(5) Initializer list constructor:\ninit = "; print_map(init);

std::cout << "----------------\n";

struct Point
{
	double x, y;

	bool operator==(const Point& other) const
	{
		return std::hypot(x, y) == std::hypot(other.x, other.y);
	}
};

struct PointCmp
{
	bool operator()(const Point& lhs, const Point& rhs) const
	{
		return lhs.x < rhs.x; // NB. intentionally ignores y
	}
};

// Custom Key class option 1:
// Use a comparison struct
auto mag = make_bst<Point, double, PointCmp>({

	{ {5, -12}, 13 },
	{ {3, 4},   5 },
	{ {-8, -15}, 17 }

});

std::cout << "(6) Comparison struct:\n";

for(const auto& node : mag) {

	std::cout << "The magnitude of (" << node.get_key().x
			  << ", " << node.get_key().y << ") is "
			  << *node.get_value() << '\n';

}

std::cout << "----------------\n";

// Custom Key class option 2:
// Use a comparison lambda
// This lambda sorts points according to their magnitudes, where note that
//  these magnitudes are taken from the local variable mag
auto cmp_lambda = [&mag](const Point& lhs, const Point& rhs) { return mag[lhs] < mag[rhs]; };

//You could also use a lambda that is not dependent on local variables, like this:
//auto cmp_lambda = [](const Point& lhs, const Point& rhs) { return lhs.y < rhs.y; };
auto magy = make_bst<Point, double, decltype(cmp_lambda)>(cmp_lambda);

//Various ways of inserting elements:
magy.add(std::pair<Point, double>({5, -12}, 13));
magy.add({ {3, 4}, 5});
magy.add({Point{-8.0, -15.0}, 17});
magy[{3, 0}] = 3;

std::cout << "(7) Comparison lambda:\n";

for(const auto& node : magy) {

	std::cout << "The magnitude of (" << node.get_key().x
			  << ", " << node.get_key().y << ") is "
			  << *node.get_value() << '\n';

}

Please see the Main.cpp file for more details.

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A C++17 implementation of an (hybrid) AVL-Tree

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