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 `./solve.sh N` and `./verify.sh N` for individually solving and verifying single test case. See `solve.sh` 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.