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Malicious PyPI Package Exploits Deezer API for Coordinated Music Piracy
Socket researchers uncovered a malicious PyPI package exploiting Deezer’s API to enable coordinated music piracy through API abuse and C2 server control.
words-to-numbers
Advanced tools
Convert words to numbers. Optionally fuzzy match the words to numbers.
npm install words-to-numbers
If the whole string passed is a number then it will return a Number
type otherwise it will return the original string with all instances of numbers replaced.
TODO: Add functionality for parsing mixed numbers and words. PRs welcome.
import wordsToNumbers from 'words-to-numbers';
wordsToNumbers('one hundred'); //100
wordsToNumbers('one hundred and five'); //105
wordsToNumbers('one hundred and twenty five'); //125
wordsToNumbers('four thousand and thirty'); //4030
wordsToNumbers('six million five thousand and two'); //6005002
wordsToNumbers('a thousand one hundred and eleven'); //1111
wordsToNumbers('twenty thousand five hundred and sixty nine'); //20569
wordsToNumbers('five quintillion'); //5000000000000000000
wordsToNumbers('one-hundred'); //100
wordsToNumbers('one-hundred and five'); //105
wordsToNumbers('one-hundred and twenty-five'); //125
wordsToNumbers('four-thousand and thirty'); //4030
wordsToNumbers('six-million five-thousand and two'); //6005002
wordsToNumbers('a thousand, one-hundred and eleven'); //1111
wordsToNumbers('twenty-thousand, five-hundred and sixty-nine'); //20569
Returns a string with all instances replaced.
wordsToNumbers('there were twenty-thousand, five-hundred and sixty-nine X in the five quintillion Y')) // 'there were 20569 X in the 5000000000000000000 Y'
Uses Jaro distance to find the best match for the number words. Don't rely on this being completely accurate...
import wordsToNumbers from 'words-to-numbers';
wordsToNumbers('won huntred', {fuzzy: true}); //100
wordsToNumbers('too thousant and fiev', {fuzzy: true}); //2005
wordsToNumbers('tree millyon sefen hunderd and twinty sex', {fuzzy: true}); //3000726
import wordsToNumbers from 'words-to-numbers';
wordsToNumbers('ten point five'); //10.5
wordsToNumbers('three point one four one five nine two six'); //3.1415926
import wordsToNumbers from 'words-to-numbers';
wordsToNumbers('first'); //1
wordsToNumbers('second'); //2
wordsToNumbers('third'); //3
wordsToNumbers('fourteenth'); //14
wordsToNumbers('twenty fifth'); //25
wordsToNumbers('thirty fourth'); //34
wordsToNumbers('forty seventh'); //47
wordsToNumbers('fifty third'); //53
wordsToNumbers('sixtieth'); //60
wordsToNumbers('seventy second'); //72
wordsToNumbers('eighty ninth'); //89
wordsToNumbers('ninety sixth'); //96
wordsToNumbers('one hundred and eighth'); //108
wordsToNumbers('one hundred and tenth'); //110
wordsToNumbers('one hundred and ninety ninth'); //199
const { wordsToNumbers } = require('words-to-numbers');
wordsToNumbers('one hundred'); //100;
FAQs
convert textual words to numbers with optional fuzzy text matching
The npm package words-to-numbers receives a total of 0 weekly downloads. As such, words-to-numbers popularity was classified as not popular.
We found that words-to-numbers 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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