Nate Vack njvack

Simple canvas-based color converter

To answer this StackOverflow question I wrote this — a small solution based on a never-rendered <canvas> element. It fills a 1-pixel canvas with the provided fill-style, and then reads the RGBA values of that pixel. It will work with any CSS color -- name, rgba(), hex, or even something more exotic like a gradient or pattern. Invalid colors are always returned as transparent black. Transparent colors are treated as painted on a newly-cleared canvas.

It's been tested in modern-ish versions of IE, Chrome, Safari, and Firefox. The API is:

color_convert.to_hex(color)   # Converts color to a hex-based RGB triple; to_hex('red') returns '#ff0000'
color_convert.to_rgba(color)  # Converts color to an rgba() string; to_rgba('red') returns 'rgba(255,0,0,1)'

	#!/bin/sh

	pids=`ps axo pid,command \| grep CoreSimulator \| grep -v "grep CoreSimulator" \| cut -c 1-5`

	if [ "$1" = "go" ]; then
	kill -9 $pids
	elif [ "$1" = "echo" ]; then
	echo $pids
	else
	pid_param=`echo $pids \| tr -s ' ' ','`

	import poplib
	import smtplib
	from email import message_from_bytes
	from email.message import EmailMessage
	import openai
	import re
	import html

	openai.api_key = ''

	After many failed attempts, I have installed scipy on my M1 MBP! The approach that worked for me was
	[similar to this one](https://github.com/scipy/scipy/issues/13409#issuecomment-886939243):

	```
	pip install cython pybind11 pythran
	pip install --no-binary :all: --no-use-pep517 numpy
	brew install gfortran openblas
	export OPENBLAS=/opt/homebrew/opt/openblas/lib/
	pip install --no-binary :all: --no-use-pep517 scipy
	```

	# pretty sudo prompt
	read -r -d '' SUDOPROMPT << EOM
	🌺🌳🌸🌷🌷🌸🌻🌷🌷🌸🌸🌸🌸🌷🌼🌷🌳🌺🌼🌺🌸🌻🌼🌼🌳🌳🌼🌺🌻🌷🐛🌷🌼🌻🌳🌸🌷🌷🌻🌸
	🌸🦉🌻🌸🌳🌷🌸🌷🌸🌳🌸🌻🌳🐌🌻🌷🌷🌼🌻🌺🌺🌻🌼🌻🌻🌼🌺🌻🌳🌼🌳🌺🌳🌷🌻🌼🌷🌼🌻🌸
	🌳🌸🌻🌺🌻🌳🌺🌺🌻🌺🌸🌻🌷🌷🌼🌻🌺🌼🌻🌻🌷🌳🌻🌸🌳🌷🌻🌳🌳🌳🌳🌼🌳🌳🌺🌷🌳🌺🌳🌺
	🦉🌸🌻🌺🌺🌳🌸🌸🌼🌻🌺🌼🌷🌸🌳🌼🌺🌸🌺🌷🌻🌷🌺🌺🌳🌷🌷🐰🌸🌻🌳🌸🌼🌷🌼🌳🌷🐹🌼🌺
	🌷🌳🌻🌸🌸🌼🐰🌷🌺🌷🌺🌻🌷🌸🌺🌻🌳🌻🌷🌻🌻🌺🌸🌸🌺🌻🌸🌻🌳🌳🌻🐦🌻🌼🌼🌻🌻🌺🌳🐰
	🌼🐦🌻🌳🌸🌸🌳🌷🌺🌼🌳🌷🌸🌻🌼🌻🐛🌻🌼🌷🌺🌼🌺🌸🌺🦔🌷🌸🌷🌻🌻🌺🌼🌷🐌🌸🌷🌼🌸🐹
	🌸🌳🌻🌼🌻🌳🌸🌷🌺🌷🌷🌼🌻🌷🌻🌺🌼🌼🌳🌸🌻🌻🌸🌼🌼🌸🌳🌺🌻🌻🌳🌺🌷🐰🌻🌼🐹🌷🌷🌳
	🌼🌷🌻🌸🌼🌳🌻🌻🌳🌷🌼🌻🌺🌺🌺🌺🌺🌳🌻🌼🌷🌸🌸🌻🌺🌻🌳🌸🌷🌺🌺🌼🌸🌺🌻🌻🌷🌸🌻🌷

	#!/usr/bin/awk -f

	# This program is a copy of guff, a plot device. https://github.com/silentbicycle/guff
	# My copy here is written in awk instead of C, has no compelling benefit.
	# Public domain. @thingskatedid

	# Run as awk -v x=xyz ... or env variables for stuff?
	# Assumptions: the data is evenly spaced along the x-axis

	# TODO: moving average

	import numpy as np

	def crappyhist(a, bins=50, width=140):
	h, b = np.histogram(a, bins)

	for i in range (0, bins):
	print('{:12.5f} \| {:{width}s} {}'.format(
	b[i],
	'#'int(widthh[i]/np.amax(h)),
	h[i],

	// http://paulirish.com/2011/requestanimationframe-for-smart-animating/
	// http://my.opera.com/emoller/blog/2011/12/20/requestanimationframe-for-smart-er-animating

	// requestAnimationFrame polyfill by Erik Möller. fixes from Paul Irish and Tino Zijdel

	// MIT license

	(function() {
	var lastTime = 0;
	var vendors = ['ms', 'moz', 'webkit', 'o'];