@hidden-finder/didyoumean

Introduction

This library provides functions for comparing and calculating the similarity between two strings using various methods. It includes the following functions:

• calculateDistance: Calculates the edit distance (Levenshtein distance) between two strings.
• levenshteinSimilarity: Calculates the Levenshtein similarity between two strings.
• bigramSimilarity: Calculates the bigram similarity between two strings.
• similarity: Calculates a combined similarity score using Levenshtein and bigram similarities.
• didyoumean: Finds the most similar pattern from an array of patterns to a given input string.

Installation

To use this library in your project, you can install it via:

npm install @hidden-finder/didyoumean

yarn add @hidden-finder/didyoumean

Overview

import { calculateDistance, levenshteinSimilarity, bigramSimilarity, similarity, didyoumean } from '@hidden-finder/didyoumean'

Functions

calculateDistance

Parameters:

• text (string): The first input string.
• pattern (string): The second input string.

Returns: number - The edit distance between the two strings.

Example:

const distance = calculateDistance('kitten', 'sitting')

levenshteinSimilarity

Parameters:

• text (string): The first input string.
• pattern (string): The second input string.

Returns: number - The Levenshtein similarity between the two strings (a value between 0 and 1).

Example:

const similarity = levenshteinSimilarity('kitten', 'sitting')

bigramSimilarity

Parameters:

• text (string): The first input string.
• pattern (string): The second input string.

Returns: number - The bigram similarity between the two strings (a value between 0 and 1).

Example:

const similarity = bigramSimilarity('kitten', 'sitting')

similarity

Parameters:

• text (string): The first input string.
• pattern (string): The second input string.

Returns: number - The combined similarity score between the two strings (a value between 0 and 1).

Example:

const similarity = similarity('kitten', 'sitting')

didyoumean

Parameters:

• text (string): The input string to find a similar pattern for.
• patterns (string[]): An array of candidate patterns.

Returns: string - The most similar pattern from the array.

Example:

const patterns = ['banana', 'apple', 'cherry', 'grape']
const similarPattern = didyoumean('aple', patterns)

License

This library is provided under the MIT License