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bin-search-tree
Advanced tools
#Overview#
This package is base high-performance realization of binary search tree. Saying "base" I mean it not contains any balancing logic. There are different balancing algorithms such as AVL tree, Red-Black tree, Splay tree and so on... You can implement your own realization of balanced binary search tree based on this package or use one of the next ready modules:
If you don't know what is binary search tree look at the next resources.
#Installation#
As always: go to your package folder and run:
npm i ---save bin-search-tree
This will installl latest bin-search-tree
package and add it to dependencies
of your package.json
file.
#Usage#
var BinarySearchTree = require('bin-search-tree');
/* Creation of binary search tree */
// Using default key comparison logic (key1 < key2):
var tree1 = new BinarySearchTree();
// Some custom comparison logic with boolean value as result:
var tree2 = new BinarySearchTree(function(key1, key2) { return key1 < key2 });
// Some custom comparison logic with number value as resul:
var tree3 = new BinarySearchTree(function(key1, key2) {
return ((key1 < key2) && -1) || ((key1 > key2) && 1) || 0;
});
/* Setting data to tree */
// Keys can be enithing
tree.set('key1', 'value1').set('key2', 'value2'); // string keys
tree.set(1234, 'value1').set(2345, 'value2'); // number keys
tree.set({a:10}, 'value1').set({b:20}, 'value2'); // object keys
tree.set([1,2], 'value1').set({c:40}, 'value2'); // mixing keys with different types
/* Getting data from tree */
// Returns value if such exists for specified key, or `undefined` otherwise
var value1 = tree.get('key1');
var value2 = tree.get('key2');
var value3 = tree.get({a:10});
var value4 = tree.get(123);
/* Checkint data existance by key */
if (tree.has('key2')) { /* data exists */ } else { /* data does not exists */ }
if (tree.has(123)) { /* data exists */ } else { /* data does not exists */ }
if (tree.has([3,4]) { /* data exists */ } else { /* data does not exists */ }
/* Removing data from binary search tree */
// Returns `true` if value was successfully deleted, or `false` otherwise
var isDeleted = tree.delete('key1');
var isDeleted = tree.delete(123);
var isDeleted = tree.delete([1,2]);
/* Tree traversal: functional array methods */
// By default "in order" from left traversing type
tree.forEach(function(value, key, tree) { console.log(value, key) });
// "pre-order" from right traversing type
tree.forEach('pre:right', function(value, key, tree) { console.log(value, key) });
// "in-order" from left traversing type (default type)
tree.forEach('in:left', function(value, key, tree) { console.log(value, key) });
// "post-order" from right traversing type
tree.forEach('post:right', function(value, key, tree) { console.log(value, key) });
// "level-order" from left traversing type
tree.forEach('level', function(value, key, tree) { console.log(value, key) });
// array-like 'some()' method with "in-order" from right traversing type
var hasSomeValue = tree.some('in:right', function(value, key, tree) { return value === 10 });
// array-like 'every()' method with "level-order" from left traversing type
var hasAllValues = tree.every('level:left', function(value, key, tree) { return value === 'hello' });
// array-like 'reduce()' method with "pre-order" form left traversing type
var sumAllValues = tree.reduce('pre:left', function(prev, value, key, tree) { return prev + value }, 0);
/* Tree traversal: Iterators (ES6 support) */
for (let value of tree) { console.log(value) }
for (let value of tree.values()) { console.log(value) }
for (let key of tree.keys()) { console.log(key) }
for (let [key, value] of tree.entries()) { console.log(key, value) }
#API#
##Common (Map methods)##
###.get()###
Gets the value by provided key
var value = tree.get(key);
key
: The key of the value to get from tree.Returns searched value, or undefined
if value does not exists for specified key.
var v1 = tree.get('some_key');
var v2 = tree.get(14123);
var v3 = tree.get(someobject);
###.set()###
Sets the value for the key into the tree.
var tree = tree.set(key, value);
key
: The key of the node to add to the tree.value
: The value of the node to add to the tree.Returns the tree for chaining purpose.
tree.set(325, 'hello').set(80.34, 'goodby').set('key3', 'here again');
###.has()###
Checks whether value exists for specified key.
var isExists = tree.has(key);
key
: The key of the value to test for presence.Returns true
is value exists, false
- otherwise.
var isZeroExists = tree.has(0);
var isCatExists = tree.has('cat');
var isBoobsExists = tree.has('boobs');
###.delete()###
Deletes value specified by key from the tree.
var wasDeleted = tree.delete(key);
key
: The key of the value to delete from the tree.Returns true
- if value was successfully deleted from the tree, false
- if value does not exists for specified key.
var numberKeyWasDeleted = tree.delete(1234);
var stringKeyWasDeleted = tree.delete('some_string');
##Functional (Array methods)##
###.forEach()###
Executes provieded function once per each node of the tree. Direction of tree traversion: from the min key to the max key. You will be able to change direction in the future versions of the library.
tree.forEach([travType,] callback);
travType
: Traversing type. Possible values:
"in"
, "in:l"
, "in:left"
."in:r"
, "in:right"
."pre"
, "pre:l"
, "pre:left"
."pre:r"
, "pre:right"
."post"
, "post:l"
, "post:left"
."post:r"
, "post:right"
."level"
, "level:l"
, "level:left"
."level:r"
, "level:right"
.callback
: Function to execute once per each node of the tree. It has following arguments:
value
: Value of the current node.key
: Key of the current node.tree
: Tree is being processed.tree.forEach(function(value, key, tree) {
console.log(key, value);
});
###.every()###
Tests whether all nodes of the tree pass the test implemented by the provided function. Tree traversion is stopped on the first node that failes the test. Direction of tree traversion: from the min key to the max key. You will be able to change direction in the future versions of the library.
var result = test.every([travType,] callback);
travType
: Traversing type. Possible values:
"in"
, "in:l"
, "in:left"
."in:r"
, "in:right"
."pre"
, "pre:l"
, "pre:left"
."pre:r"
, "pre:right"
."post"
, "post:l"
, "post:left"
."post:r"
, "post:right"
."level"
, "level:l"
, "level:left"
."level:r"
, "level:right"
.callback
: Function to test each node of the tree. Node passes the test if this function returns true
value (or value that can be interpreted as true
). Otherwise node failes, and traversing is interrupted. It has following arguments:
value
: Value of the current node.key
: Key of the current node.tree
: Tree is being processed.Returns true
if all nodes pass the test. Otherwise - false
var isAllPositiver = tree.every(function(value, key, tree) {
return value >= 0;
});
###.some()###
Tests whether at least one of the tree nodes pass the test implemented by the provided function. Tree traversion is stopped on the first node that passes the test. Direction of tree traversion: from the min key to the max key. You will be able to change direction in the future versions of the library.
var result = test.some([travType,] callback);
travType
: Traversing type. Possible values:
"in"
, "in:l"
, "in:left"
."in:r"
, "in:right"
."pre"
, "pre:l"
, "pre:left"
."pre:r"
, "pre:right"
."post"
, "post:l"
, "post:left"
."post:r"
, "post:right"
."level"
, "level:l"
, "level:left"
."level:r"
, "level:right"
.callback
: Function to test each node of the tree. Node passes the test if this function returns true
value (or value that can be interpreted as true
). Otherwise node failes, and traversing is interrupted. It has following arguments:
value
: Value of the current node.key
: Key of the current node.tree
: Tree is being processed.Returns true
if at least one of nodes passes the test. Otherwise - false
var hasZero = tree.some(function(value, key, tree) {
return value = 0;
});
###.reduce()###
Applies provided function against accumulator and each node of the tree. Direction of tree traversion: from the min key to the max key. You will be able to change direction in the future versions of the library.
var result = test.reduce([travType,] callback [, initialValue]);
travType
: Traversing type. Possible values:
"in"
, "in:l"
, "in:left"
."in:r"
, "in:right"
."pre"
, "pre:l"
, "pre:left"
."pre:r"
, "pre:right"
."post"
, "post:l"
, "post:left"
."post:r"
, "post:right"
."level"
, "level:l"
, "level:left"
."level:r"
, "level:right"
.callback
: Function executed on each node ot the tree. Returns new accumulator value for the next invokation. It has following arguments:
accumulator
: Value previously returned by last invokation of the callback
or initialValue
if this is first calback
invokation.value
: Value of the current node.key
: Key of the current node.tree
: Tree is being processed.initialValue
(Optional): Value to use as first argument of the first callback
invokation.Returns value returned by the last invokation of the callback
.
var sum = tree.reduce(function(accumulator, value, key, tree) {
return accumulator + value;
});
##Iterators (ES6 support)##
All methods bellow returns iterators conforming to ES6 iterator protocol
###Symbol.iterator###
Realizes iterator interfaces for binary search tree.
Makes it possible to use the tree in for of
loop.
var valuesIterator = tree[Symbol.iterator]();
Returns Iterator for binary search tree values (see .values() method bellow).
for (let value of tree) {
console.log(value);
}
###.keys()###
Creates iterator for binary search tree keys.
var keysIterator = tree.keys();
Returns Iterator for binary search tree keys.
for (let key of tree.keys()) {
console.log(key);
}
###.values()###
Creates iterator for binary search tree keys.
var valuesIterator = tree.values();
Returns Iterator for binary search tree values.
for (let value of tree.values()) {
console.log(value);
}
###.entries()###
Creates iterator for binary search tree key/value pairs.
var entriesIterator = tree.entries();
Returns Iterator for binary search tree key/values paris.
for (let [key, value] of tree.entries()) {
console.log(key, value);
}
FAQs
Binary search tree
The npm package bin-search-tree receives a total of 4 weekly downloads. As such, bin-search-tree popularity was classified as not popular.
We found that bin-search-tree demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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