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angelicagrass-tokenizer

v1.0.3

Published

A tokenizer written in javascript. The Tokenizer is published on npm so you can install it with `npm install angelicagrass-tokenizer`. The tokenizer takes two parameters, first one is a grammar object that you create with the class grammar that is also pr

Readme

TOKENIZER

A tokenizer written in javascript. The Tokenizer is published on npm so you can install it with npm install angelicagrass-tokenizer. The tokenizer takes two parameters, first one is a grammar object that you create with the class grammar that is also provided in this tokeniser package.

The grammar-object looks like this:

{
    TYPE: 'type' // the type of the token
    REGEX: /whatever/ // the regex that matched the token
}  

The second parameter is the string that you want to tokenize.

HOW TO USE

  • Import tokenizer
    import { Tokenizer, Grammar } from 'angelicagrass-tokenizer/src/index.js'

  • Create a grammar and tokenizer with regex

const yourGrammar = new Grammar('YourGrammarName', '\w|ÅÄÖåäö]+/g)
yourGrammar = yourGrammar.createNewGrammar()
const yourTokenizer = new Tokenizer(yourGrammar,'Here is the string that we want to tokenize')
yourTokenizer.setTokenizerRules()  
yourTokenizer.tokenizeTheString() 
  • Get active token in the string
yourTokenizer.getActiveToken
  • Navigate in the string
yourTokenizer.getNextToken()  
yourTokenizer.getPreviousToken()