Structurae

A collection of data structures for high-performance JavaScript applications that includes:

• Binary Structures:
  • ObjectView - extends DataView to implement C-like struct.
  • ArrayView - DataView based array of ObjectViews, strings, numbers, etc.
  • MapView - ObjectView with optional fields and fields of varying sizes.
  • VectorView - ArrayView that supports optional and variable length elements, including MapViews.
  • StringView - extends Uint8Array to handle C-like representation of UTF-8 encoded strings.
  • BinaryProtocol - a helper class that simplifies defining and operating on multiple tagged ObjectViews.
• Bit Structures:
  • BitField & BigBitField - stores and operates on data in Numbers and BigInts treating them as bitfields.
  • BitArray - an array of bits implemented with Uint32Array.
  • Pool - manages availability of objects in object pools.
  • RankedBitArray - extends BitArray with O(1) time rank and O(logN) select methods.
• Graphs:
  • Graph - extends an adjacency list/matrix structure and provides methods for traversal (BFS, DFS), pathfinding (Dijkstra, Bellman-Ford), spanning tree construction (BFS, Prim), etc.
  • UnweightedAdjacencyList & WeightedAdjacencyList - implements Adjacency List data structure.
  • UnweightedAdjacencyMatrix & WeightedAdjacencyMatrix - implements Adjacency Matrix data structure.
• Grids:
  • BinaryGrid - creates a grid or 2D matrix of bits.
  • Grid - extends built-in indexed collections to handle 2 dimensional data (e.g. nested arrays).
  • SymmetricGrid - a grid to handle symmetric or triangular matrices using half the space required for a normal grid.
• Sorted Structures:
  • BinaryHeap - extends Array to implement the Binary Heap data structure.
  • SortedCollection - extends TypedArrays to handle sorted data.
  • SortedArray - extends Array to handle sorted data.

Installation

npm i structurae 

Documentation

• API documentation
• Articles:
  • Structurae: Data Structures for Heigh-Performance JavaScript
  • Structurae 1.0: Graphs, Strings, and WebAssembly

Overview

Binary Structures

Binary data in JavaScript is represented by ArrayBuffer and accessed through "view" objects--TypedArrays and DataView. However, both of those interfaces are limited to working with numbers. Structurae offers a set of classes that extend these interfaces to support using ArrayBuffers for strings, objects, and arrays of objects defined with schema akin to C-like structs. Useful on their own, when combined, these classes form the basis for a simple binary protocol that is smaller and faster than schema-less binary formats (e.g. BSON, MessagePack) and supports zero-copy operations. Unlike other schema-based formats (e.g. Flatbuffers), these interfaces are native to JavaScript, hence, supported in all modern browsers and Node.js, and do not require compilation.

ObjectView

ObjectView extends DataView to store a JavaScript object in an ArrayBuffer akin to C-like struct. Fields of an ObjectView are defined using a subset of JSON Schema. ObjectView supports all JavaScript values, that is, numbers, strings, booleans, objects, and arrays. Internally, the data is laid out sequentially with fixed sizes, hence, variable length arrays and optional fields are not supported (for those check out MapView).

const { ObjectViewMixin } = require('structurae');

const Person = ObjectViewMixin({
  $id: 'Person', // each object requires a unique id
  type: 'object',
  properties: {
    name: { type: 'string', maxLength: 10 }, // the size of a string field is required and defined by maxLength
    fullName: {
      type: 'array',
      maxItems: 2, // the size of an array is required and defined by maxItems
      items: { type: 'string', maxLength: 10 }, // all items have to be the same type
    },
    bestFriend: { $ref: '#Friend' }, // objects can be referenced with $ref using their $id
    friends: {
      type: 'array',
      maxItems: 3,
      items: {
        $id: 'Friend',
        type: 'object',
        properties: {
          name: { type: 'string', maxLength: 10 },
        },
      },
    },
    scores: {
      type: 'array',
      maxItems: 10,
      items: { type: 'integer', btype: 'int16' },
    },
    house: {
      $id: 'House',
      type: 'object',
      properties: {
        size: { type: 'number', btype: 'float32', default: 100 }, // default values are applied upon creation of a view
      },
    },
    pets: {
      type: 'array',
      maxItems: 3,
      items: {
        $id: 'Pet',
        type: 'object',
        properties: {
          type: { type: 'string', maxLength: 10 },
        }
      },
    },
  },
});
const person = Person.from({
  name: 'Zaphod',
  fullName: ['Zaphod', 'Beeblebrox'],
  scores: [1, 2, 3],
  house: {
    size: 1,
  },
  pets: [
    { type: 'dog' }, { type: 'cat' }
  ],
});
person.byteLength
//=> 64
person.get('scores');
//=> 1
person.get('name');
//=> Zaphod
person.getView('name')
//=> StringView [10]
person.get('scores')
//=> [1, 2, 3, 0, 0, 0, 0, 0, 0, 0,]
person.set('house', { size: 5 });
person.get('house');
//=> { size: 5 }
person.toJSON()
//=> { name: 'Zaphod', fullName: ['Zaphod', 'Beeblebrox'], scores: [1, 2, 3, 0, 0, 0, 0, 0, 0, 0,],
// house: { size: 5 }, pets: [{ type: 'dog' }, { type: 'cat' }, { type: '' }] }

There are certain requirements for a JSON Schema used for ObjectViews: - Each object should have a unique id defined with

$id

ObjectView.Views

$ref

maxLength

maxItems

$ref

$id

number

float64

integer

int32

btype

ObjectView supports setting default values of fields. Default values are applied upon creation of a view: ```javascript const House = ObjectViewMixin({ $id: 'House', type: 'object', properties: { size: { type: 'integer', btype: 'uint32', default: 100 } }, });

const house = House.from({}); house.get('size'); //=> 100 ```

Default values of an ObjectView can be overridden when the view is used as a field inside other views: ```javascript const Neighborhood = ObjectViewMixin({ $id: 'Neighborhood', type: 'object', properties: { house: { $ref: '#House' }, biggerHouse: { $ref: '#House', default: { size: 200 } }, }, });

const neighborhood = Neighborhood.from({}); neighborhood.get('house') //=> { size: 100 } neighborhood.get('biggerHouse') //=> { size: 200 } ```

You can add your own field types to ObjectView, for example an ObjectView that supports Date: ```javascript const { TypeViewMixin } = require('structurae'); class DateView extends TypeViewMixin('float64', true) { static from(value, view, start) { super.from(+value, view, start); }

static toJSON(view, start) { return new Date(super.toJSON(view, start));
} }

class View extends ObjectView {} View.types = { ...ObjectView.types, date(field) { return DateView; }, };

const ViewWithDate = ObjectViewMixin({ $id: 'ViewWithDate', type: 'object', properties: { a: { type: 'date' }, }, }, View); const date = ViewWithDate.from({ a: new Date(0) }); date.get('a') //=> Thu Jan 01 1970 00:00:00 GMT+0000 date.set('a', new Date(1e8)); date.toJSON(); //=> { a: Fri Jan 02 1970 03:46:40 GMT+0000 } ```

ArrayView

DataView based array of "views": objects, number, strings, etc: ```javascript const { ObjectViewMixin, ArrayViewMixin, StringView } = require('structurae');

const Int32ArrayView = ArrayViewMixin('int32', true); // create an ArrayView class for int32 values with little endian encoding const Int32ArrayViewBE = ArrayViewMixin('int32', false); // big endian int32 values const StringsView = ArrayViewMixin(StringView, 20); // an ArrayView class for strings with maximum length of 20 bytes each

const Person = ObjectViewMixin({ $id: 'Person', // each object requires a unique id type: 'object', properties: { id: { type: 'integer', btype: 'uint32' }, name: { type: 'string', maxLength: 10 }, }, });

// an array class for Person objects const PeopleArray = ArrayViewMixin(Person);

// create an empty array view of 10 Person objects const people = PeopleArray.of(10);

// create an array view from a given array const hitchhikers = PeopleArray.from([ { id: 1, name: 'Arthur' }, { id: 2, name: 'Ford' }, ]); // get a view of the first object hitchhikers.getView(0); //=> Person [14] // get the value of the first object hitchhikers.get(0); //=> { id: 1, name: 'Arthur' }

// set the first object data hitchhikers.set(0, { id: 3, name: 'Trillian' }); hitchhikers.get(0); //=> { id: 3, name: 'Trillian' }

hitchhikers.toJSON(); //=> [{ id: 1, name: 'Arthur' }, { id: 2, name: 'Ford' }] ```

TypedArrays in JavaScript have two limitations that make them cumbersome to use in conjunction with DataView. First, there is no way to specify the endianness of numbers in TypedArrays unlike DataView. Second, TypedArrays require their offset (byteOffset) to be a multiple of their element size (BYTESPERELEMENT), which means that they often cannot "view" into existing ArrayBuffer starting from certain positions. ArrayViews for numbers are essentially TypedArrays that circumvent both issues by using the DataView interface. You can specify endianness and instantiate them at any position in an existing ArrayBuffer.

const { ArrayViewMixin } = require('structurae');

// create a class for little endian doubles
const Float64View = ArrayViewMixin('float64', true);
const buffer = new ArrayBuffer(11);
const doubles = new Float64View(buffer, 3, 8);
doubles.byteLength
//=> 20
doubles.byteOffset
//=> 3
doubles.set(0, 5).set(1, 10);
[...doubles]
//=> [5, 10]

MapView

MapView is an ObjectView that supports optional fields and fields of variable size. The size and layout of each MapView instance is calculated upon creation and stored within the instance (unlike ObjectViews, where each instance have the same size and layout). MapViews are useful for densely packing objects and arrays whose size my vary greatly. There is a limitation, though, since ArrayBuffers cannot be resized, optional fields that were absent upon creation of a map view cannot be set later, and those set cannot be resized.

const { MapViewMixin } = require('structurae');

const Person = MapViewMixin({
  $id: 'Person',
  type: 'object',
  properties: {
    id: { type: 'integer', btype: 'uint32', default: 10 },
    // notice that maxLength is not required for optional fields in MapView
    // however, if set, MapView with truncate longer strings to fit the maxLength
    name: { type: 'string' },
    pets: {
      type: 'array',
      // maxItems is also not required for MapView
      // if set, MapView truncate arrays exceeding the specified maximum
      items: {
        $id: 'Pet',
        type: 'object',
        properties: {
          // however both maxLengh and maxItems are required in nested objects and arrays
          type: { type: 'string', maxLength: 10 } 
        },
      },
    },
    names: {
      type: 'array',
      // uses VectorView for an array of variable length elements
      // if btype is set to vector
      btype: 'vector', 
      items: { type: 'string' },
    },
  },
  // required fields are always present and can have default values
  required: ['id'],
});
const person0 = Person.from({});
person.get('id')
//=> 10
person.get('name')
//=> name
// create a person with one pet
const person1 = Person.from({ id: 1, name: 'Artur', pets: [{ type: 'dog'}] });
person1.byteLength;
//=> 31
// create a person with no pets
const person0 = Person.from({ id: 1, name: 'Artur'});
person0.byteLength;
//=> 18
person0.get('pets');
//=> undefined
person0.set('pets', [{ type: 'dog'}]);
person0.get('pets');
//=> undefined
const person2 = Person.from({ names: ['Arthur', 'Dent', '', 'Arthur Dent']})
person2.toJSON();
//=> { id: 10, names: ['Arthur', 'Dent', undefined, 'Arthur Dent']}

For performance reasons, MapView uses a single buffer for serialization, thus, limiting the maximum size of a view. The buffer is inherited from

VariableView

VariableView.maxLength

VectorView

VectorView is an ArrayView that supports optional elements (i.e.

undefined

const { MapViewMixin, VectorViewMixin, TypeViewMixin } = require('structurae');
const SparseArrayView = VectorViewMixin(TypeViewMixin('uint8'));
SparseArrayView.from([1, , 2, null]).toJSON();
//=> [1, undefined, 2, undefined]

const MapVector = VectorViewMixin(MapViewMixin({
  $id: 'SomeMap',
  btype: 'map',
  properties: {
    id: { type: 'integer' },
    name: { type: 'string' },
  },
}));
const mapVector = MapVector.from([{ id: 1 }, null, { name: 'abc'}]);
mapVector.size;
//=> 3
mapVector.get(0);
//=> { id: 1 };
mapVector.toJSON();
//=> [{ id: 1 }, undefined, { name: 'abc'}]

Like MapView, VectorView uses for serialization the default buffer inherited from

VariableView

VariableView.maxLength

StringView

Encoding API (available both in modern browsers and Node.js) allows us to convert JavaScript strings to (and from) UTF-8 encoded stream of bytes represented by a Uint8Array. StringView extends Uint8Array with string related methods and relies on Encoding API internally for conversions. You can use

StringView.fromString

StringView#toString

const stringView = StringView.from('abc😀a'); //=> StringView [ 97, 98, 99, 240, 159, 152, 128, 97 ] stringView.toString(); //=> 'abc😀a' stringView == 'abc😀a'; //=> true ```

While the array itself holds code points, StringView provides methods to operate on characters of the underlying string:

javascript
const stringView = StringView.from('abc😀');
stringView.length; // length of the view in bytes
//=> 8
stringView.size; // the amount of characters in the string
//=> 4
stringView.charAt(0); // get the first character in the string
//=> 'a'
stringView.charAt(3); // get the fourth character in the string
//=> '😀'
[...stringView.characters()] // iterate over characters
//=> ['a', 'b', 'c', '😀']
stringView.substring(0, 4);
//=> 'abc😀'

StringView also offers methods for searching and in-place changing the underlying string without decoding: ```javascript const stringView = StringView.from('abc😀a'); const searchValue = StringView.from('😀'); stringView.search(searchValue); // equivalent of String#indexOf //=> 3

const replacement = StringView.from('d'); stringView.replace(searchValue, replacement).toString(); //=> 'abcda'

stringView.reverse().toString(); //=> 'adcba' ```

BinaryProtocol

When transferring our buffers encoded with views we can often rely on meta information to know what kind of ObjectView to use in order to decode a received buffer, e.g. let's say we have a

HouseView

/houses

BinaryProtocol

const { BinaryProtocol } = require('structurae');

const protocol = new BinaryProtocol({
  0: {
    $id: 'Person',
    type: 'object',
    properties: {
      age: { type: 'integer', btype: 'int8' },
      name: { type: 'string', length: 10 },
    }
  },
  1: {
    $id: 'Items',
    type: 'object',
    properties: {
      id: { type: 'integer', btype: 'uint32' },
      items: {
        type: 'array',
        maxItems: 3,
        items: { type: 'string', maxLength: 10 },
      },
    },
  },
});
const person = protocol.encode({ tag: 0, age: 100, name: 'abc' });
//=> ObjectView (12)
protocol.decode(person.buffer)
//=> { tag: 0, age: 100, name: 'abc' }
const personView = protocol.view(person.buffer);
personView.get('age');
//=> 100
const item = protocol.encode({ tag: 1, id: 10, items: ['a', 'b', 'c'] });
//=> ObjectView (35)
protocol.decode(item.buffer)
//=> { tag: 1, id: 10, items: ['a', 'b', 'c'] }

We can use references to existing ObjectViews, however, those views should have a tag field and appropriate default value specified. ```javascript const View = ObjectViewMixin({ $id: 'Items', type: 'object', properties: { tag: { type: 'integer', btype: 'uint8', default: 1 }, id: { type: 'integer', btype: 'uint32' }, items: { type: 'array', maxItems: 3, items: { type: 'string', maxLength: 10 }, }, }, });

const protocol = new BinaryProtocol({ 0: { $id: 'Person', type: 'object', properties: { age: { type: 'integer', btype: 'int8' }, name: { type: 'string', length: 10 }, } }, 1: { $ref: '#Items' }, }); ```

By default, the tag field is named

tag

uint8

const protocol = new BinaryProtocol({ 0: { $id: 'Person', type: 'object', properties: { age: { type: 'integer', btype: 'int8' }, name: { type: 'string', length: 10 }, } }, 1: { $ref: '#Items' }, }, 'tagId', 'uint32'); ```

Bit Structures

BitField & BigBitField

BitField and BigBitField use JavaScript Numbers and BigInts respectively as bitfields to store and operate on data using bitwise operations. By default, BitField operates on 31 bit long bitfield where bits are indexed from least significant to most: ```javascript const { BitField } = require('structurae');

const bitfield = new BitField(29); // 29 === 0b11101 bitfield.get(0); //=> 1 bitfield.get(1); //=> 0 bitfield.has(2, 3, 4); //=> true ```

You can extend BitField or BigBitField directly or use BitFieldMixin with your own schema by specifying field names and their respective sizes in bits:

javascript
const Field = BitFieldMixin({ width: 8, height: 8 });
const field = new Field({ width: 100, height: 200 });
field.get('width');
//=> 100;
field.get('height');
//=> 200
field.set('width', 18);
field.get('width');
//=> 18
field.toObject();
//=> { width: 18, height: 200 }

You can forgo specifying sizes if your field size is 1 bit:

javascript
const Privileges = BitFieldMixin(['user', 'moderator', 'administrator']);
const privileges = new Privileges(0);
privileges.set('user').set('moderator');
privileges.has('user', 'moderator');
//=> true
privileges.set('moderator', 0).has('moderator');
//=> false

If the total size of your fields exceeds 31 bits, BitFieldMixin will switch to BigBitField that internally uses a BigInt to represent the resulting number, however, you can still use normal numbers to set each field and get their value as a number as well:

javascript
const LargeField = BitFieldMixin({ width: 20, height: 20 });
const largeField = new LargeField([1048576, 1048576]);
largeField.value
//=> 1099512676352n
largeField.set('width', 1000).get('width')
//=> 1000

If you have to add more fields to your schema later on, you do not have to re-encode your existing values, just add new fields at the end of your new schema:

const OldField = BitFieldMixin({ width: 8, height: 8 });
const oldField = OldField.encode([20, 1]);
//=> oldField === 276

const NewField = BitFieldMixin({ width: 8, height: 8, area: 10 });
const newField = new NewField(oldField);
newField.get('width');
//=> 20
newField.get('height');
//=> 1
newField.set('weight', 100).get('weight');
//=> 100

If you only want to encode or decode a set of field values without creating an instance, you can do so by using static methods

BitField.encode

BitField.decode

Field.encode([20, 1]); //=> 41

Field.encode({ height: 1, width: 20 }); //=> 41

Field.decode(41); //=> { width: 20, height: 1 } ```

If you don't know beforehand how many bits you need for your field, you can call

BitField.getMinSize

javascript
BitField.getMinSize(100);
//=> 7
const Field = BitFieldMixin({ width: BitField.getMinSize(250), height: 8 });

For performance sake, BitField doesn't check the size of values being set and setting values that exceed the specified field size will lead to undefined behavior. If you want to check whether values fit their respective fields, you can use

BitField.isValid

Field.isValid({ width: 100 }); //=> true Field.isValid({ width: 100, height: 3 }); //=> false ```

BitField#match

BitField.match

javascript
const Field = BitFieldMixin({ width: 7, height: 1 });
const field = new Field([20, 1]);
field.match({ width: 20 });
//=> true
field.match({ height: 1, width: 20 });
//=> true
field.match({ height: 1, width: 19 });
//=> false
Field.match(field.valueOf(), { height: 1, width: 20 });
//=> true

If you have to check multiple BitField instances for the same values, create a special matcher with

BitField.getMatcher

javascript
const Field = BitFieldMixin({ width: 7, height: 1 });
const matcher = Field.getMatcher({ height: 1, width: 20 });
Field.match(new Field([20, 1]).valueOf(), matcher);
//=> true
Field.match(new Field([19, 1]).valueOf(), matcher);
//=> false

BitArray

BitArray uses Uint32Array as an array or vector of bits. It's a simpler version of BitField that only sets and checks individual bits:

const array = new BitArray(10);
array.getBit(0)
//=> 0
array.setBit(0).getBit(0);
//=> 1
array.size
//=> 10
array.length
//=> 1

BitArray is the base class for Pool and RankedBitArray classes. It's useful in cases where one needs more bits than can be stored in a number, but doesn't want to use BigInts as it is done by BitField.

Pool

Implements a fast algorithm to manage availability of objects in an object pool using a BitArray. ```javascript const { Pool } = require('structurae');

// create a pool of 1600 indexes const pool = new Pool(100 * 16);

// get the next available index and make it unavailable pool.get(); //=> 0 pool.get(); //=> 1

// set index available pool.free(0); pool.get(); //=> 0

pool.get(); //=> 2 ```

RankedBitArray

RankedBitArray is an extension of BitArray with methods to efficiently calculate rank and select. The rank is calculated in constant time where as select has O(logN) time complexity. This is often used as a basic element in implementing succinct data structures.

const array = new RankedBitArray(10);
array.setBit(1).setBit(3).setBit(7);
array.rank(2);
//=> 1
array.rank(7);
//=> 2
array.select(2);
//=> 3

Graphs

Structurae offers classes that implement Adjacency List (

UnweightedAdjacencyList

WeightedAdjacencyList

UnweightedAdjacencyMatrix

WeightedAdjacencyMatrix

Graph

Adjacency Lists

UnweightedAdjacencyList

WeightedAdjacencyList

const { UnweightedAdjacencyList, WeightedAdjacencyListMixin } = require('structurae');

const WeightedAdjacencyList = WeightedAdjacencyListMixin(Int32Array);
const unweightedGraph = new UnweightedAdjacencyList({ vertices: 6, edges: 6 });
const weightedGraph = new WeightedAdjacencyList({ vertices: 6, edges: 6 });
// the length of an unweighted graph is vertices + edges + 1
unweightedGraph.length;
//=> 13
// the length of a weighted graph is vertices + edges * 2 + 1
weightedGraph.length;
//=> 19
unweightedGraph.addEdge(0, 1).addEdge(0, 2).addEdge(2, 4).addEdge(2, 5);
unweightedGraph.hasEdge(0, 1);
//=> true
unweightedGraph.hasEdge(0, 4);
//=> false
unweightedGraph.outEdges(2);
//=> [4, 5]
unweightedGraph.inEdges(2);
//=> [0]
weightedGraph.addEdge(0, 1, 5);
weightedGraph.hasEdge(0, 1);
//=> true
weightedGraph.getEdge(0, 1);
//=> 5

Since the maximum amount of egdes is limited to the number specified at creation, adding edges can overflow throwing a RangeError. If that's a possibility, use

isFull

grow

grow

javascript
graph.length
//=> 13
const biggerGraph = graph.grow(4, 10); // add 4 vertices and 10 edges
biggerGraph.length
//=> 27

Adjacency lists can be created from an existing adjacency matrices or grids using the

fromGrid

Adjacency Matrices

UnweightedAdjacencyMatrix

WeightedAdjacencyMatrix

UnweightedAdjacencyMatrix

WeightedAdjacencyMatrix

const { UnweightedAdjacencyMatrix, WeightedAdjacencyMatrixMixin } = require('structurae');
// creates a class for directed graphs that uses Int32Array for edge weights
const WeightedAdjacencyMatrix = WeightedAdjacencyMatrixMixin(Int32Array, true);

const unweightedGraph = new UnweightedAdjacencyMatrix({ vertices: 6 });
unweightedGraph.addEdge(0, 1).addEdge(0, 2).addEdge(0, 3).addEdge(2, 4).addEdge(2, 5);
unweightedGraph.hasEdge(0, 1);
//=> true
unweightedGraph.hasEdge(0, 4);
//=> false
unweightedGraph.outEdges(2);
//=> [4, 5]
unweightedGraph.inEdges(2);
//=> [0]
const weightedGraph = new WeightedAdjacencyMatrix({ vertices: 6, pad: -1 });
weightedGraph.addEdge(0, 1, 3);
weightedGraph.hasEdge(0, 1);
//=> true
weightedGraph.hasEdge(1, 0);
//=> false
weightedGraph.getEdge(1, 0);
//=> 3

Graph

Graph

const { GraphMixin, UnweightedAdjacencyList, WeightedAdjacencyMatrixMixin }  = require('structurae');

// create a graph for directed unweighted graphs that use adjacency list structure
const UnweightedGraph = GraphMixin(UnweightedAdjacencyList);
// for directed weighted graphs that use adjacency matrix structure
const WeightedGraph = GraphMixin(WeightedAdjacencyMatrixMixin(Int32Array));

The traversal is done by a generator function

Graph#traverse

black

gray

white

const graph = new WeightedGraph({ vertices: 6, edges: 12 });
graph.addEdge(0, 1, 3).addEdge(0, 2, 2).addEdge(0, 3, 1).addEdge(2, 4, 8).addEdge(2, 5, 6);

// a BFS traversal results
[...graph.traverse()];
//=> [0, 1, 2, 3, 4, 5]
// DFS
[...graph.traverse(true)];
//=> [0, 3, 2, 5, 4, 1]
// BFS yeilding only non-encountered ('white') vertices starting from 0
[...graph.traverse(false, 0, false, true)];
//=> [1, 2, 3, 4, 5]

Graph#path

javascript
graph.path(0, 5); // uses Bellman-Ford by default
graph.path(0, 5, true); // the graph is acyclic, uses DFS
graph.path(0, 5, false, true); // the graph might have cycles, but has no negative edges, uses Dijkstra

Grids

BinaryGrid

BinaryGrid creates a grid or 2D matrix of bits and provides methods to operate on it: ```javascript const { BinaryGrid } = require('structurae');

const bitGrid = new BinaryGrid({ rows: 2, columns: 8 }); bitGrid.set(0, 0).set(0, 2).set(0, 5); bitGrid.get(0, 0); //=> 1 bitGrid.get(0, 1); //=> 0 bitGrid.get(0, 2); //=> 1 ``` BinaryGrid packs bits into numbers like BitField and holds them in an ArrayBuffer, thus occupying the smallest possible space.

Grid

Grid extends a provided indexed collection class (Array or TypedArrays) to efficiently handle 2 dimensional data without creating nested arrays. Grid "unrolls" nested arrays into a single array and pads its "columns" to the nearest power of 2 in order to employ quick lookups with bitwise operations.

const { GridMixin } = require('structurae');

const ArrayGrid = GridMixin(Array);
// create a grid of 5 rows and 4 columns filled with 0
const grid = new ArrayGrid({rows: 5, columns: 4 });
grid.length
//=> 20
grid[0]
//=> 0
// send data as the second parameter to instantiate a grid with data:
const  dataGrid = new ArrayGrid({rows: 5, columns: 4 }, [1, 2, 3, 4, 5, 6, 7, 8]);
grid.length
//=> 20
grid[0]
//=> 0
// you can change dimensions of the grid by setting columns number at any time:
dataGrid.columns = 2;

You can get and set elements using their row and column indexes: ```javascript grid //=> ArrayGrid [1, 2, 3, 4, 5, 6, 7, 8] grid.get(0, 1); //=> 2 grid.set(0, 1, 10); grid.get(0, 1); //=> 10

// use

getIndex

// use

getCoordinates

A grid can be turned to and from an array of nested arrays using respectively

Grid.fromArrays

Grid#toArrays

// if arrays are not the same size or their size is not equal to a power two, Grid will pad them with 0 by default // the value for padding can be specified as the second argument const grid = ArrayGrid.fromArrays([[1, 2], [3, 4, 5]]); //=> ArrayGrid [ 1, 2, 0, 0, 3, 4, 5, 0 ] grid.get(1, 1); //=> 4

grid.toArrays(); //=> [ [1, 2], [3, 4, 5] ]

// you can choose to keep the padding values grid.toArrays(true); //=> [ [1, 2, 0, 0], [3, 4, 5, 0] ] ```

SymmetricGrid

SymmetricGrid is a Grid that offers a more compact way of encoding symmetric or triangular square matrices using half as much space. ```javascript const { SymmetricGrid } = require('structurae');

const grid = new ArrayGrid({rows: 100, columns: 100 }); grid.length; //=> 12800 const symmetricGrid = new SymmetricGrid({ rows: 100 }); symmetricGrid.length; //=> 5050

Since the grid is symmetric, it returns the same value for a given pair of coordinates regardless of their position:

Sorted Structures

BinaryHeap

BinaryHeap extends built-in Array to implement the Binary Heap data structure. All the mutating methods (push, shift, splice, etc.) do so while maintaining the valid heap structure. By default, BinaryHeap implements min-heap, but it can be changed by providing a different comparator function: ```javascript const { BinaryHeap } = require('structurae');

class MaxHeap extends BinaryHeap {} MaxHeap.compare = (a, b) => a > b;

In addition to all array methods, BinaryHeap provides a few methods to traverse or change the heap:

heap.replace(4) // returns the first element and adds a new element in one operation //=> 1 heap[0] //=> 3 heap[0] = 6; // BinaryHeap [ 6, 4, 8, 10, 9, 20 ] heap.update(0); // updates the position of an element in the heap // BinaryHeap [ 4, 6, 8, 10, 9, 20 ] ```

SortedCollection

SortedCollection extends a given built-in indexed collection with methods to efficiently handle sorted data.

const { SortedMixin } = require('structurae');

const SortedInt32Array = SortedMixin(Int32Array);

To create a sorted collection from unsorted array-like objects or items use

from

of

js
SortedInt32Array.from(unsorted);
//=> SortedInt32Array [ 2, 3, 4, 5, 9 ]
SortedInt32Array.of(8, 5, 6);
//=> SortedInt32Array [ 5, 6, 8 ]

new SortedInt32Array

new Int32Array

js
new SortedInt32Array(...[ 1, 2, 3, 4, 8 ]);
//=> SortedInt32Array [ 1, 2, 3, 4, 8 ];
new SortedInt32Array(2,3,4);
//=> SortedInt32Array [ 2, 3, 4 ];

A custom comparison function can be specified on the collection instance to be used for sorting:

js
//=> SortedInt32Array [ 2, 3, 4, 5, 9 ]
sortedInt32Array.compare = (a, b) => (a > b ? -1 : a < b ? 1 : 0);
sortedInt32Array.sort();
//=> SortedInt32Array [ 9, 5, 4, 3, 2 ]

SortedCollection supports all the methods of its base class:

javascript
//=> SortedInt32Array [ 2, 3, 4, 5, 9 ]
sortedInt32Array.slice(0, 2)
//=> SortedInt32Array [ 2, 3 ]
sortedInt32Array.set([0, 0, 1])
//=> SortedInt32Array [ 0, 0, 1, 5, 9 ]

indexOf

includes

SortedCollection provides

isSorted

range

// set

subarray

true

TypedArray#subarray

SortedCollection also provides a set of functions to perform common set operations and find statistics of any sorted array-like objects without converting them to sorted collection. Check API documentation for more information.

SortedArray

SortedArray extends SortedCollection using built-in Array.

SortedArray supports all the methods of Array as well as those provided by SortedCollection. The methods that change the contents of an array do so while preserving the sorted order: ```js const { SortedArray } = require('structurae');

const sortedArray = new SortedArray(); sortedArray.push(1); //=> SortedArray [ 1, 2, 3, 4, 5, 9 ] sortedArray.unshift(8); //=> SortedArray [ 1, 2, 3, 4, 5, 8, 9 ] sortedArray.splice(0, 2, 6); //=> SortedArray [ 3, 4, 5, 6, 8, 9 ] ```

uniquify

js
const a = SortedArray.from([ 1, 1, 2, 2, 3, 4 ]);
a.uniquify();
//=> SortedArray [ 1, 2, 3, 4 ]

If the instance property

unique

true

js
const a = new SortedArray();
a.unique = true;
a.push(1);
//=> 1
a.push(2);
//=> 2
a.push(1);
//=> 2
a
//=> SortedArray [ 1, 2 ]

License

MIT © Maga D. Zandaqo