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Smart Lighting Simulation

This simulation's goal is to make lighting provide a desirable light to each user.

Currently the optimization only uses a simple heuristic because it seems hard to apply other smart algorithms to this system.

Demo

In the demo below, the users at the desks (shown in purple rectangles) have their own request for the amount of light (illuminance; lx) on their desks, and then they all set it to 500 lx at the halfway along the demo. As the users chenge their request, 12 light sources (show in dark and bright yellow circles) adjust its luminous intensity (candela: cd) to meet the users' demand.

	tex_strings = tuple(self.hyphenation(ts) for ts in tex_strings)
	# tex_strings = list(tex_strings)
	# for i, s in enumerate(tex_strings):
	# tex_strings[i] = self.hyphenation(s)
	# tex_strings = tuple(tex_strings)

	# On Chrome, most of them are recognized as 'SPACE' but Python differentiates this.
	chars = [
	(' ', 'CHARACTER TABULATION'),
	(' ','SPACE'),
	(' ','NO-BREAK SPACE'),
	(' ', 'CGHAM SPACE MARK'),
	(' ', 'EN QUAD'),
	(' ', 'EM QUAD'),
	(' ','EN SPACE'),
	(' ', 'EM SPACE'),

	import requests
	import pdfkit
	from bs4 import BeautifulSoup


	HOME_URL = "http://pyqt.sourceforge.net/Docs/PyQt5/"
	SAVE_DIR = "./pyqt5-doc/"
	r = requests.get(HOME_URL)
	data = r.text