Hi! This is Sayuri Hasegawa. I hope enjoy reading this submission. Basically
you use the submission like this:

	mkdir data
	mv ... data/input.txt
	make dump               # produces data/input*.txt and others
	make solve              # produces analysis/ and output/
	make verify             # checks if the output in output/ is correct.
	                        # often patches a last-minute error, and
	                        # stores the solutions to archive/
	make zip                # produces result.7z and code.tar.gz
	                        # from the best solutions in archive/

You require bash, GNU make, p7zip, Python (2 only, PyPy is just fine), any
optimizing C++ compiler. I've also used a modified version of Golly for fast
board generation: `grep 'Hasegawa Sayuri' golly/` for all modifications.

You can also use `./ N` and `./ N` for individually solving
and verifying single test case. See `` for strategies used.

The entire process took about 13 minutes in MacBook Air (Mid 2011) with
4 GiB RAM. This does not include the time spent for tweaking various
parameters and algorithms. YMMV.