Aarni Koskela akx

Name	Value
Total TOML files	3812
Unique TOML files	3230
Deduplicated TOML files	582
No select	29.8%
No ignore	35.3%
No fixable	91.9%
No unfixable	84.9%
Most popular configured Python version	py310

Name	Value
Total TOML files	3143
Unique TOML files	2628
Deduplicated TOML files	515
No select	29.6%
No ignore	35.8%
No fixable	92.3%
No unfixable	85.1%
Most popular configured Python version	py310

Name	Value
Total TOML files	1982
Unique TOML files	1703
Deduplicated TOML files	279
No select	29.8%
No ignore	36.1%
No fixable	94.2%
No unfixable	85.1%
Most popular configured Python version	py310

Name	Value
Total TOML files	1846
Unique TOML files	1577
Deduplicated TOML files	269
No select	29.4%
No ignore	36.0%
No fixable	94.2%
No unfixable	84.6%
Most popular configured Python version	py310

Name	Value
Total TOML files	1613
Unique TOML files	1352
Deduplicated TOML files	261
No select	28.7%
No ignore	35.3%
No fixable	94.8%
No unfixable	84.2%
Most popular configured Python version	py310

	/*
	The grammar is fed from the output of lexical analysis. The tokens returned from lexical analysis are
	CONST BOOL FLOAT INT UINT
	BREAK CONTINUE DO ELSE FOR IF DISCARD RETURN SWITCH CASE DEFAULT
	BVEC2 BVEC3 BVEC4 IVEC2 IVEC3 IVEC4 UVEC2 UVEC3 UVEC4 VEC2 VEC3 VEC4
	MAT2 MAT3 MAT4 CENTROID IN OUT INOUT UNIFORM

	FLAT SMOOTH LAYOUT
	MAT2X2 MAT2X3 MAT2X4
	MAT3X2 MAT3X3 MAT3X4

	<!doctype html>
	<html lang="en">
	<head>
	</head>
	<body>
	<script>
	function sleep(ms = 0) {
	return new Promise(r => setTimeout(r, ms));
	}

	<!doctype html>
	<html lang="en">
	<head>
	</head>
	<body>
	<script>
	function sleep(ms=0) {
	return new Promise(r => setTimeout(r, ms));
	}
	function toggle_class_1(element, name, toggle) {

	/*

	highlight v5

	Highlights arbitrary terms.

	<http://johannburkard.de/blog/programming/javascript/highlight-javascript-text-higlighting-jquery-plugin.html>

	MIT license.

	import random
	import statistics
	import time


	def assign_into_groups(
	n_people: int,
	group_max_sizes: dict[int, set[int]],
	) -> dict[int, set[int]]:
	groups = [set() for _ in group_max_sizes]