@abtnode/binary-search-tree 中文文档教程
Binary search trees for Node.js
这是 @louischatriot 的项目的分支,旨在发展项目并添加新功能。
二叉搜索树的两种实现:basic 和 AVL(一种自平衡二叉搜索树)。
Installation and tests
包名称是 binary-search-tree
。
npm install @abtnode/binary-search-tree --save
make test
Usage
该API主要提供3个功能:insert
、search
和delete
。 如果不创建唯一类型的二叉搜索树,则可以为同一个键存储多条数据。 使用唯一类型的 BST 这样做会导致抛出错误。 数据始终以数组形式返回,您可以删除与给定键相关的所有数据,或只删除一条数据。
插入的值可以是除 undefined
之外的任何值。
var BinarySearchTree = require('@abtnode/binary-search-tree').BinarySearchTree,
AVLTree = require('@abtnode/binary-search-tree').AVLTree; // Same API as BinarySearchTree
// Creating a binary search tree
var bst = new BinarySearchTree();
// Inserting some data
bst.insert(15, 'some data for key 15');
bst.insert(12, 'something else');
bst.insert(18, 'hello');
// You can insert multiple pieces of data for the same key
// if your tree doesn't enforce a unique constraint
bst.insert(18, 'world');
// Retrieving data (always returned as an array of all data stored for this key)
bst.search(15); // Equal to ['some data for key 15']
bst.search(18); // Equal to ['hello', 'world']
bst.search(1); // Equal to []
// Search between bounds with a MongoDB-like query
// Data is returned in key order
// Note the difference between $lt (less than) and $gte (less than OR EQUAL)
bst.betweenBounds({ $lt: 18, $gte: 12 }); // Equal to ['something else', 'some data for key 15']
// Deleting all the data relating to a key
bst.delete(15); // bst.search(15) will now give []
bst.delete(18, 'world'); // bst.search(18) will now give ['hello']
您可以向 BST 构造函数传递三个可选参数,允许您强制执行键唯一性约束、使用自定义函数比较键以及使用自定义函数检查值是否相等。 这些参数都是在一个对象中传递的。
Browsing through all keys in the tree
您可以使用 searchAfter
和 searchBefore
浏览树中的所有键,如下所示:
// this assumes that each value in the BST includes 'key' attribute
var node = bst.search(bst.getMinKey());
for (; node.length > 0; node = bst.searchAfter(node[0].key)) {
// do something with each node here
// node is now an array of values, as with search()
}
您可以使用 getMinKey
和 getMaxKey 从开头或结尾开始,或者您也可以使用任何其他键值作为起点。
Finding the nearest key to a given key which may or may not be in the tree
您可以使用 searchNearest
查找最接近指定键的键和数据。
// Creating a binary search tree
var bst = new BinarySearchTree();
// Inserting some data
bst.insert(15, 'some data for key 15');
bst.insert(12, 'something else');
bst.insert(18, 'hello');
bst.searchNearest(20); // Equal to ['hello']
bst.searchNearest(13); // Equal to ['something else']
Uniqueness
var bst = new BinarySearchTree({ unique: true });
bst.insert(10, 'hello');
bst.insert(10, 'world'); // Will throw an error
Custom key comparison
// Custom key comparison function
// It needs to return the distance between the keys. Negative if
// a < b and positive if a > b
// If none is provided, the default one can compare numbers, dates and strings
// which are the most common usecases
function compareKeys(a, b) {
return a.age - b.age;
}
// Now we can use objects with an 'age' property as keys
var bst = new BinarySearchTree({ compareKeys: compareKeys });
bst.insert({ age: 23 }, 'Mark');
bst.insert({ age: 47 }, 'Franck');
Custom value checking
// Custom value equality checking function used when we try to just delete one piece of data
// Returns true if a and b are considered the same, false otherwise
// The default function is able to compare numbers and strings
function checkValueEquality(a, b) {
return a.length === b.length;
}
var bst = new BinarySearchTree({ checkValueEquality: checkValueEquality });
bst.insert(10, 'hello');
bst.insert(10, 'world');
bst.insert(10, 'howdoyoudo');
bst.delete(10, 'abcde');
bst.search(10); // Returns ['howdoyoudo']
License
(麻省理工学院许可证)
版权所有 (c) 2013 Louis Chatriot
特此免费授予任何获得许可的人 此软件和相关文档文件的副本( “软件”),不受限制地处理软件,包括 但不限于使用、复制、修改、合并、发布、 分发、再许可和/或出售软件的副本,以及 允许向其提供软件的人这样做,但须遵守 下列条件:
上述版权声明和本许可声明应 包含在软件的所有副本或重要部分中。
本软件按“原样”提供,不提供任何形式的保证, 明示或暗示的,包括但不限于 适销性、特定用途的适用性和非侵权性。 在任何情况下,作者或版权持有人均不对任何 索赔、损害赔偿或其他责任,无论是在合同行为中, 侵权行为或其他由以下原因引起、由其引起或与之相关的行为 软件或软件的使用或其他交易。
Binary search trees for Node.js
This is a fork of @louischatriot's project with the intent to grow the project and add new features.
Two implementations of binary search tree: basic and AVL (a kind of self-balancing binary search tree).
Installation and tests
Package name is binary-search-tree
.
npm install @abtnode/binary-search-tree --save
make test
Usage
The API mainly provides 3 functions: insert
, search
and delete
. If you do not create a unique-type binary search tree, you can store multiple pieces of data for the same key. Doing so with a unique-type BST will result in an error being thrown. Data is always returned as an array, and you can delete all data relating to a given key, or just one piece of data.
Values inserted can be anything except undefined
.
var BinarySearchTree = require('@abtnode/binary-search-tree').BinarySearchTree,
AVLTree = require('@abtnode/binary-search-tree').AVLTree; // Same API as BinarySearchTree
// Creating a binary search tree
var bst = new BinarySearchTree();
// Inserting some data
bst.insert(15, 'some data for key 15');
bst.insert(12, 'something else');
bst.insert(18, 'hello');
// You can insert multiple pieces of data for the same key
// if your tree doesn't enforce a unique constraint
bst.insert(18, 'world');
// Retrieving data (always returned as an array of all data stored for this key)
bst.search(15); // Equal to ['some data for key 15']
bst.search(18); // Equal to ['hello', 'world']
bst.search(1); // Equal to []
// Search between bounds with a MongoDB-like query
// Data is returned in key order
// Note the difference between $lt (less than) and $gte (less than OR EQUAL)
bst.betweenBounds({ $lt: 18, $gte: 12 }); // Equal to ['something else', 'some data for key 15']
// Deleting all the data relating to a key
bst.delete(15); // bst.search(15) will now give []
bst.delete(18, 'world'); // bst.search(18) will now give ['hello']
There are three optional parameters you can pass the BST constructor, allowing you to enforce a key-uniqueness constraint, use a custom function to compare keys and use a custom function to check whether values are equal. These parameters are all passed in an object.
Browsing through all keys in the tree
You can use searchAfter
and searchBefore
to browse through all keys in the tree, like this:
// this assumes that each value in the BST includes 'key' attribute
var node = bst.search(bst.getMinKey());
for (; node.length > 0; node = bst.searchAfter(node[0].key)) {
// do something with each node here
// node is now an array of values, as with search()
}
You can use getMinKey
and getMaxKey
to get started from the beginning or the end, or you can also use any other key value as a starting point.
Finding the nearest key to a given key which may or may not be in the tree
You can use searchNearest
to find the key and data nearest to the specified key.
// Creating a binary search tree
var bst = new BinarySearchTree();
// Inserting some data
bst.insert(15, 'some data for key 15');
bst.insert(12, 'something else');
bst.insert(18, 'hello');
bst.searchNearest(20); // Equal to ['hello']
bst.searchNearest(13); // Equal to ['something else']
Uniqueness
var bst = new BinarySearchTree({ unique: true });
bst.insert(10, 'hello');
bst.insert(10, 'world'); // Will throw an error
Custom key comparison
// Custom key comparison function
// It needs to return the distance between the keys. Negative if
// a < b and positive if a > b
// If none is provided, the default one can compare numbers, dates and strings
// which are the most common usecases
function compareKeys(a, b) {
return a.age - b.age;
}
// Now we can use objects with an 'age' property as keys
var bst = new BinarySearchTree({ compareKeys: compareKeys });
bst.insert({ age: 23 }, 'Mark');
bst.insert({ age: 47 }, 'Franck');
Custom value checking
// Custom value equality checking function used when we try to just delete one piece of data
// Returns true if a and b are considered the same, false otherwise
// The default function is able to compare numbers and strings
function checkValueEquality(a, b) {
return a.length === b.length;
}
var bst = new BinarySearchTree({ checkValueEquality: checkValueEquality });
bst.insert(10, 'hello');
bst.insert(10, 'world');
bst.insert(10, 'howdoyoudo');
bst.delete(10, 'abcde');
bst.search(10); // Returns ['howdoyoudo']
License
(The MIT License)
Copyright (c) 2013 Louis Chatriot <louis.chatriot@gmail.com>
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the 'Software'), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
你可能也喜欢
- 1k-tasks 中文文档教程
- 7s-eslint-config-lwc 中文文档教程
- @0x/sol-coverage 中文文档教程
- @1hive/connect-honey-pot 中文文档教程
- @1xinternet/editable-webpack-config 中文文档教程
- @2003scape/rsc-archiver 中文文档教程
- @2bitlab/auth 中文文档教程
- @512ks/nec-model-web 中文文档教程
- @5rabbits/eslint-import-resolver-directory-named 中文文档教程
- @aapokiiso/hsl-congestion-stop-repository 中文文档教程