chore: cleanup package

.github/workflows/lactame.yml

@@ -5,16 +5,16 @@ on:
     types: [published]
 
 env:
-  NODE_VERSION: 16.x
+  NODE_VERSION: 22.x
 
 jobs:
   deploy:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@v4
       - name: Get package name
         run: echo "PACKAGE_NAME=$(jq .name package.json | tr -d '"')" >> $GITHUB_ENV
-      - uses: actions/setup-node@v3
+      - uses: actions/setup-node@v4
         with:
           node-version: ${{ env.NODE_VERSION }}
       - name: Install dependencies

.github/workflows/typedoc.yml

@@ -6,15 +6,15 @@ on:
     types: [published]
 
 env:
-  NODE_VERSION: 16.x
+  NODE_VERSION: 22.x
   ENTRY_FILE: 'src/index.ts'
 
 jobs:
   deploy:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v3
-      - uses: actions/setup-node@v3
+      - uses: actions/checkout@v4
+      - uses: actions/setup-node@v4
         with:
           node-version: ${{ env.NODE_VERSION }}
       - name: Install dependencies

README.md

@@ -1,10 +1,13 @@
 # ml-spectra-fitting
 
-[![NPM version][npm-image]][npm-url]
-[![build status][ci-image]][ci-url]
-[![npm download][download-image]][download-url]
+[![NPM version](https://img.shields.io/npm/v/ml-spectra-fitting.svg)](https://www.npmjs.com/package/ml-spectra-fitting)
+[![npm download](https://img.shields.io/npm/dm/ml-spectra-fitting.svg)](https://www.npmjs.com/package/ml-spectra-fitting)
+[![test coverage](https://img.shields.io/codecov/c/github/mljs/spectra-fitting.svg)](https://codecov.io/gh/mljs/spectra-fitting)
+[![license](https://img.shields.io/npm/l/ml-spectra-fitting.svg)](https://github.com/mljs/spectra-fitting/blob/main/LICENSE)
 
-This is a spectra fitting package to optimize the position (x), max intensity (y), full width at half maximum (FWHM = width) and the ratio of gaussian contribution (mu) if it's required. It supports three kind of shapes:
+This is a spectra fitting package to optimize the position (x), max intensity (y),
+full width at half-maximum (FWHM = width) and the ratio of gaussian contribution (mu) if it's required.
+It supports three kinds of shapes:
 
 | Name         |                                                                                                                            Equation                                                                                                                             |
 | ------------ | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
@@ -23,7 +26,9 @@ It is a wrapper of [ml-levenberg-marquardt](https://github.com/mljs/levenberg-ma
 
 ## Installation
 
-`$ npm install ml-spectra-fitting`
+```console
+npm i ml-spectra-fitting
+```
 
 ## Example
 
@@ -184,10 +189,3 @@ const result = {
 ## License
 
 [MIT](./LICENSE)
-
-[npm-image]: https://img.shields.io/npm/v/ml-spectra-fitting.svg
-[npm-url]: https://npmjs.org/package/ml-spectra-fitting
-[ci-image]: https://github.com/mljs/spectra-fitting/workflows/Node.js%20CI/badge.svg?branch=main
-[ci-url]: https://github.com/mljs/spectra-fitting/actions?query=workflow%3A%22Node.js+CI%22
-[download-image]: https://img.shields.io/npm/dm/ml-spectra-fitting.svg
-[download-url]: https://npmjs.org/package/ml-spectra-fitting

script/benchmark.mjs → script/benchmark.js

@@ -1,11 +1,8 @@
-/*
-You first need to make `npm run prepack` to build the library
-To create a benchmark report: `node --prof benchmark.mjs`
-*/
+// To create a benchmark report: `node --cpu-prof benchmark.js`
 
 import { generateSpectrum } from 'spectrum-generator';
 
-import { optimize } from '../lib/index.js';
+import { optimize } from '../src/index.ts';
 
 const nbPeaks = 5;
 let peaks = [];