John mcpar-land

A list of the domain names of all brands owned and operated by Valnet, according to the page hosted at https://www.valnetinc.com/en/our-brands (2024-12-18)

	# https://piechowski.io/post/git-commands-before-reading-code/

	cd ${1?.}

	echo "# Most changed files, last year"
	echo '```'
	git log --format=format: --name-only --since="1 year ago" \
	\| sort \
	\| uniq -c \
	\| sort -nr \

	<?php

	class STATIC_CLASS_TEST {
	static $foo;

	static function init() {
	self::$foo = ['foo', 'bar', 'baz', $_ENV['MY_ENV_VARIABLE']];
	}
	}

	use std::process::Command;

	fn main() {
	let tailwind_cmd = "npx tailwindcss -i input.css -o assets/app.css";

	if cfg!(target_os = "windows") {
	Command::new("cmd").arg("/C").arg(tailwind_cmd).status()
	} else {
	Command::new("sh").arg("-c").arg(tailwind_cmd).status()
	}

	def uniques_by_col(df: pd.DataFrame, drop_columns=[]) -> pd.DataFrame:
	u = {}
	for col in df.columns.tolist():
	if str(col) not in drop_columns:
	u[col] = pd.Series([(i[0], v) for i, v in dftxt[[col]].value_counts().iteritems()], dtype="object")
	df2 = pd.DataFrame.from_dict(u, orient="index").T.replace({None: np.nan})
	col_order = []
	for col in df2.columns.tolist():
	if str(col) not in drop_columns:
	df2[[(str(col), "Val"), (str(col), "Count")]] = pd.DataFrame(df2[col].tolist(), index=df2.index)

	# You can use this to find all the tags present in a set of XML files.
	# Useful for determining a schema while also spotting tags that are very uncommon.
	rg "<([a-zA-Z]+)" . -g "*.xml" -r '$1' -NoI \| sort \| uniq -c \| sort -nr

	use bevy::prelude::*;

	pub struct GlobalChildRef(pub Entity);
	pub struct GlobalChild;

	fn setup(
	mut commands: Commands,
	mut materials: ResMut<Assets<ColorMaterial>>,
	global_child: ResMut<GlobalChildRef>,
	) {

	import React from 'react'
	import styled from 'styled-components'

	const MenuBase = styled.div`
	display: flex;
	flex-direction: column;
	`

	const MenuItem = styled.div`
	padding: 5px;