FLUTTER ECOSYSTEM

Mehmetyaz/binary_tree

Árvore Binária de Busca Autoequilibrada para Dart. A BST é implementada como Iterable. Existem muitas operações, como greaterThen, lessThenOrEqual (criar sublista), max, min, etc.

Capa do projeto árvore binária
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Último push (UTC)
11 de mai. de 2025
Status do projeto
Ativo
Mehmet Yaz GitHub avatar
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Mehmet Yaz ↗

Flutter developer

Turkey
LinguagensDart

Pacotes publicados por este repositório

Dependências usadas

Lista de dependências 2 itens
  • lintsDesenvolvimento^1.0.0
  • testDesenvolvimento^1.16.0

README original

Texto original em inglês. Visite o GitHub para a versão atual.

Expandir / recolher README

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

}