chore: fix lint and remove redundant vitest config

Author: targos

.github/workflows/typedoc.yml

@@ -1,32 +1,15 @@
-name: Deploy TypeDoc on GitHub pages
+name: TypeDoc
 
 on:
   workflow_dispatch:
   release:
     types: [published]
 
-env:
-  NODE_VERSION: 22.x
-  ENTRY_FILE: 'src/index.js'
-
 jobs:
-  deploy:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - uses: actions/setup-node@v4
-        with:
-          node-version: ${{ env.NODE_VERSION }}
-      - name: Install dependencies
-        run: npm install
-      - name: Build documentation
-        uses: zakodium/typedoc-action@v2
-        with:
-          entry: ${{ env.ENTRY_FILE }}
-      - name: Deploy to GitHub pages
-        uses: JamesIves/github-pages-deploy-action@releases/v4
-        with:
-          token: ${{ secrets.BOT_TOKEN }}
-          branch: gh-pages
-          folder: docs
-          clean: true
+  typedoc:
+    # Documentation: https://github.com/zakodium/workflows#typedoc
+    uses: zakodium/workflows/.github/workflows/typedoc.yml@typedoc-v1
+    with:
+      entry: 'src/index.js'
+    secrets:
+      github-token: ${{ secrets.BOT_TOKEN }}

benchmark/benchmarkLinePlot.js

@@ -1,4 +1,4 @@
-import { run, bench, lineplot, do_not_optimize } from 'mitata';
+import { bench, do_not_optimize, lineplot, run } from 'mitata';
 import { xSequentialFillFromStep } from 'ml-spectra-processing';
 
 import { SparseMatrix } from '../src/index.js';
@@ -8,10 +8,6 @@ import { randomMatrix } from './utils/randomMatrix.js';
 
 const density = 0.02; // Fixed density for this comparison;
 
-/* eslint 
-func-names: 0 
-camelcase: 0
-*/
 // Prepare matrices once
 const sizes = Array.from(
   xSequentialFillFromStep({ from: 4, step: 4, size: 13 }),

benchmark/combinationOfCardinalityAndSize.js

@@ -1,16 +1,13 @@
-import { run, bench, do_not_optimize, lineplot } from 'mitata';
+import { writeFile } from 'node:fs/promises';
+import path from 'node:path';
+
+import { bench, do_not_optimize, lineplot, run } from 'mitata';
 import { xSequentialFillFromStep } from 'ml-spectra-processing';
 
 import { SparseMatrix } from '../src/index.js';
 
 import { randomMatrix } from './utils/randomMatrix.js';
-import { writeFile } from 'node:fs/promises';
-import path from 'node:path';
 
-/* eslint 
-func-names: 0
-camelcase: 0
-*/
 // Prepare matrices once
 const cardinalities = Array.from(
   xSequentialFillFromStep({ from: 10, step: 5, size: 2 }),

benchmark/densityDecreaseWhenSizeIncrease.js

@@ -1,14 +1,10 @@
-import { run, bench, group, do_not_optimize } from 'mitata';
+import { bench, do_not_optimize, group, run } from 'mitata';
+
 // import { Matrix } from 'ml-matrix';
+import { SparseMatrix } from '../src/index.js';
 
 import { SparseMatrix as SparseMatrixOld } from './class/SparseMatrixOld.js';
 import { randomMatrix } from './utils/randomMatrix.js';
-import { SparseMatrix } from '../src/index.js';
-
-/* eslint 
-func-names: 0 
-camelcase: 0
-*/
 
 const sizes = [8, 16, 32, 256, 512, 1024];
 const densities = [0.125, 0.0625, 0.03125, 0.0039, 0.00197, 0.001];