String-algorithms NPM

String Algorithms

Features

This package implements a collection of linear-time and linear-space string algorithms that are often used when implementing more advanced searching, sorting and indexing algorithms. The algorithms all accept and properly handle 16-bit Unicode strings.

The algorithms implemented are:

longestCommonPrefix calculates the longest common prefixes given a suffix array. This implementation is based on Kasei et al's algorithm.
longestCommonSubstring calculates the longest common substring of two or more strings in O(n + k) or O(n + (k log(k))) depending on the chosen index map implementation. The former version requires an additional O(n) space, whereas the latter version only requires an additional O(k) space.
radixSort sorts an array with sub-arrays that are all the same length.
search finds all instances of the given term in string. This implementation is based on Knuth, Morris and Pratt's algorithm.
suffixArray calculates the suffix array of a given string. This implementation is based on the Difference Cover modulo 3 (DC3)/skew algorithm by Kärkkäinen et al.

Note: While the algorithms provided here are linear-time implementations, they are still outperformed by readily available C/C++ implementations.

Also note that although these implementations are O(n), linear time does not automatically beat O(n log(n)) all the time. More efficient implementations that are O(n log(n)) may in fact be faster in practice in many situations. To see that, consider that log2(n) grows very slowly. For example log2(100,000) is approximately 16.6. The linear-time longest common substring implementation makes many linear passes through the input string, quite possibly more than 16 in total. So if there exists an O(n log(n)) implementation that can do everything it needs to do in just one pass through the input, it would already come out ahead of the linear time implementation for n less than or equal to 100,000.

Due to limitations of Node.js, the maximum string size is currently limited too by the maximum heap size which is currently just shy of 2GB--and the actual longest string that can be handled by the multiple longest common substring algorithm will be sevaral factors shorter than the maximum heap size.

Examples

Longest Common Substring of Multiple Strings

Find the longest common substring:

import { longestCommonSubstring } from 'string-algorithms';

const strings = [
  '12apple',
  '3apple4',
  'apple56'
];

console.log(longestCommonSubstring(strings));

produces the output apple.

Run the example.

Suffix Array

Find the suffix array of mississippi:

import { suffixArray } from 'string-algorithms';

console.log(suffixArray('mississippi'));

produces the output

[
  11, //  $
  10, // i
  7, //  ippi
  4, //  issippi
  1, //  ississippi
  0, //  mississippi
  9, //  pi
  8, //  ppi
  6, //  sippi
  3, //  sissippi
  5, //  ssippi
  2 //  ssissippi
]

Run the example.

Radix Sort

Given an array with arrays of integers:

import { radixSort } from 'string-algorithms';

const integers = [
  [-9,  4,  0],
  [ 4, -2,  3],
  [ 4,  2, -1],
  [ 1,  0,  6],
  [-4, -2, -5],
  [ 4,  6,  8],
];

const result = radixSort(integers);

/*
[
  [-9,  4,  0],
  [-4, -2, -5],
  [ 1,  0,  6],
  [ 4, -2,  3],
  [ 4,  2, -1],
  [ 4,  6,  8],
];
*/

Run the example.

Given an array of strings that are all the same length, and a function that converts each string to an array of char codes:

const strings = [
  'image',
  'mania',
  'genom',
  'mango'
];

const result = radixSort(strings, s => s.split('').map(c => c.charCodeAt(0)));

/*
[
  'genom',
  'image',
  'mango',
  'mania'
]
*/

Run the example.

Install

npm install --save string-algorithms

API

`function search(text, term)`

Finds all instances of term in the given text.

text is the string to be searched.

term is the substring to search for.

Returns an array with the start index of all occurrences of term in text.

Note:

`function radixSort(entries, getEntry)`

Radix sorts an array of entries. If getEntry is not given, then entries is assumed to contain an array of arrays where each sub-array is of the same length. If getEntry is given, then the entries may be of any type, but getEntry must return an array of the same length corresponding to each given entry.

entries is an array with entries to be radix sorted.

getEntry is an optional function for retrieving each entry as an array. For example, entries may contain arrays that are all 4 elements long, but only the last three elements should be considered for sorting. In that case, getEntry could be entry => entry.slice(1).

Returns a new array with the sorted entries.

Note: Although this is a linear-time sort algorithm, it requires input to be of a uniform length (arrays with k entries, strings with at most k characters, digits with at most k digits and so on). The constant overhead is also pretty big, so for something as simple as sorting integers, a fast O(n * log(n)) implementation will probably beat radix sorting even for pretty big n.

`function suffixArray(s, terminator)`

Calculates the suffix array for the given string and an optional terminator code which must be negative.

s is the string or array of character codes to compute the suffix array for.

terminator is an optional negative terminator code. The terminator code must not be present anywhere in s.

Returns an array with the sorted suffixes of s.

`function longestCommonPrefix(sequence, suffixArray)`

Calculates the longest common prefix from a suffix array in linear time.

sequence is a sequence of character codes.

suffixArray is the suffix array corresponding to sequence.

Returns an array indicating the height of the shared prefix between adjecent suffix array entries.

`function longestCommonSubstring(strings, indexMap)`

Finds the longest common substring(s) in the set of given strings. If there are multiple substrings that all share the longest length, then all such substrings are returned. O(n + k) or O(n + k log(k)) depending on the selected string indexing strategy.

strings is an array of strings.

indexMap is the optional string indexing map strategy. If given a string, it must be one of 'log' or 'linear'. Otherwise it must be an object that derives from StringIndexMap. The default value is 'log'.

Returns an array with the longest common substrings(s).

`class StringIndexMap`

Maps the position of strings s1 ... sK when concatenated into one string. Concrete implementations provide different compromises between O(1) and O(log(k)) lookup times versus O(n) and O(k) space requirements. Extend this class to implement custom mappings from string positions to substring indices with different runtime/space tradeoffs than the two pre-defined implementations.

`function add(length)`

Adds a substring with the given length.

length is the length of the substring.

Returns the current total length of all substrings.

`lookup(position)`

Looks up the substring corresponding to the given position in the concatenated string.

position is the position in the concatenated string

Returns the index of the substring that contains the given position.

`toString()`

Returns a string representation of the string index map.

Contributing

Contributions welcome; Please submit all pull requests against the master branch. If your pull request contains JavaScript patches or features, you should include relevant unit tests. Please check the Contributing Guidelines for more details. Thanks!