binary_tree 1.0.5 copy "binary_tree: ^1.0.5" to clipboard
binary_tree: ^1.0.5 copied to clipboard

Self-Balancing Binary Search Tree for Dart. BST is implemented as Iterable. There are many operations such as greaterThen, lessThenOrEqual (create sublist), max , min etc.

Self-Balancing Binary Search Tree for Dart. BST is implemented as Iterable. There are many operations such as greaterThan, lessThanOrEqual (create sublist), max , min etc.

Features #

void main() {
  final myNumbers = BinaryTree([10, 8, 16, 4, 9, 13, 25, 2, 6, 12, 26, 14, 18]);
}

Binary tree stores values as a binary search tree.
For more information : Binary Search Tree.

A Self-Balancing AVL type tree is used, which balances the depth of the nodes.
For more information : Self Balancing Binary Search Tree , AVL Tree.

img.png

Usage #

Use Case #

You can see if you need it by looking at the benchmarks given below. It is generally advantageous in keeping long and sorted datasets. Its advantage is not noticeable on short datasets.

Benchmark scenarios

img_3.png img_1.png img_2.png

Type #

Binary Tree objects must be Comparable

All of num , String , Duration etc. are Comparable.

You can define your objects as Comparable.

Comparable Documentation

void main() {
  final myLetters = BinaryTree<String>(["a", "c", "b"]);
  final myDates = BinaryTree<DateTime>([DateTime.now()]);
}

Basic operations #

void main() {
  final myNumbers = BinaryTree([ /*initial*/
  ]);
  myNumbers.insert(value);
  myNumbers.remove(value);
  myNumbers.contains(value);
}

Iterator #

You can create an Iterator by "startsWith" or "endsWith" given element.

f() {
  final myNumbers = BinaryTree([10, 8, 16, 4, 9, 13, 25, 2, 6, 12, 26, 14, 18]);
  final iterator = myNumbers.iteratorFrom(8, greaterThan: true, equal: false); // defaults
  while (iterator.moveNext()) {
    print(iterator.current); // 9 , 10 ... 26
  }
}

You can also define bounds

f() {
  final myNumbers = BinaryTree([10, 8, 16, 4, 9, 13, 25, 2, 6, 12, 26, 14, 18]);
  final iterator = myNumbers.iteratorFrom(8, bound: Bound(13, equal: true));
  while (iterator.moveNext()) {
    print(iterator.current); // 9 , 10 ... 13
  }
}

toList #

You can create new lists using range iterators.

f() {
  final myNumbers = BinaryTree([10, 8, 16, 4, 9, 13, 25, 2, 6, 12, 26, 14, 18]);

  myNumbers.lessThan(16);

  /// 14 , 13 , ... 2
  myNumbers.lessThanOrEqual(16);

  /// 16 , 14 , 13 , ... 2
  myNumbers.greaterThan(16);

  ///  25 , 26
  myNumbers.greaterThanOrEqual(16);

  /// 16 , 25 , 26

  /// custom bound
  myNumbers.listFrom(16, bound: Bound(13, equal: true));

  /// 16 , 14 , 13

}
26
likes
140
pub points
58%
popularity

Publisher

verified publisherstyledart.dev

Self-Balancing Binary Search Tree for Dart. BST is implemented as Iterable. There are many operations such as greaterThen, lessThenOrEqual (create sublist), max , min etc.

Repository (GitHub)
View/report issues

Documentation

API reference

License

GPL-3.0 (LICENSE)

More

Packages that depend on binary_tree