Beginning of implementation of a ctypes-based interface to libboard, which is a much cleaner set of Go routines than I hacked together originally. Including a copy of gnugo 3.8 so we can build a dynamic version of libboard.
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gnugo/regression/games/STS-RV/STS-RV_README
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STS-RV 1.0
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1. What is STS-RV?
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2. How is it distributed?
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3. Who created it?
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4. How to use it?
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5. Structure of the STS-RV
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6. Acknowledgements
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1. WHAT IS STS-RV?
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-----------------
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STS-RV is a Semeai Test Suite that uses GTP regression features with
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722 semeai problems.
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2. HOW IS IT DISTRIBUTED?
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-------------------------
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STS-RV is distributed under GPL license.
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3. WHO CREATED IT?
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------------------
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STS-RV is part of the results of Ricard Vil<69>'s master thesis. I worked
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on my master thesis during six months at the AI research group in
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Universit<EFBFBD> Paris VIII under the direction of Tristan Cazenave and
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Marco A. Pe<50>a.
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To contact me: ritx@ya.com
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4. HOW TO USE IT?
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-----------------
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If your program is compatible with GTP protocol you need to copy
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the whole STS-RV contents in the folder where your executable program
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is. The solve_semeaiS gtp command is not a standard one so probably
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you will have to define your own gtp command for that purpose.
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Then edit the file regression/evalSemeais.sh and change the name
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of the solver to the one you use. Once this is done call the shell
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script evalSemeaisAll.sh and all the tests will be tried. If you
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create debug sgf files they will be redirected to the Debug folders
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(change the name of the debug files in the evalSemeaisAll.sh to fit
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your own names).
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If your program is not compatible with GTP protocol check the official
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GTP site at http://www.lysator.liu.se/~gunnar/gtp/
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If you try the STS-RV i would like to hear from you, your opinions,
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suggestions, found bugs, etc are of great interest to me so please
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contact me at ritx@ya.com
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5. STRUCTURE OF THE STS_RV
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--------------------------
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STS-RV is divided into six tst files containing a total of 130 sgf
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files and 722 tests.
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Every test is twice checked (playing black and white first).
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Contents of the tst files:
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semeais_0.tst containing semeai tests of class 0.
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semeais_1.tst containing semeai tests of class 1 and 2.
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semeais_e.tst containing semeai tests of class e.
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All the tests in these files are created by me in order to check the
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performance of what my module was supposed to do
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correctly. Theoretically they are supposed to be passed statically (at
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the root node).
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If you are not familiar with this classification check Martin M<>ller's
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paper: "Race to Capture: Analyzing Semeai in Go" at
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http://www.cs.ualberta.ca/~mmueller/ or my master thesis "Desarrollo
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del m<>dulo de resolucion de semeai Semeai_01es" at
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http://www.ai.univ-paris8.fr/~ritx/ (in Spanish).
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semeais_RH.tst containing semeai tests obtained from "Counting
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Liberties and Winning Capturing Races" written by Richard Hunter and
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published by Slate and Shell (SSRH003). These are the most difficult
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tests in the suite both for the number of possible moves at the root
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node and for the depth of the winning sequence.
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semeais_GSAT.tst containing semeai tests involving tesuji obtained
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from "Get Strong at Tesuji" written by Richard Bozulich and published
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by Kiseido Publishing Company (K56).
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semeais_Misc.tst containing semeai tests over class 3 created by me
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from my own games or compositions created by me.
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6. ACKNOWLEDGEMENTS
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-------------------
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I would like to thank Martin M<>ller for settling the first stone of my
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work with his interesting classification of semeais.
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I thank Richard Hunter and Richard Bozulich for his express permission
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to use the problems in their books as tests for machines, for the
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benefit of the Computer Go community.
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I would like to thank Gunnar Farneb<65>ck for his valuable help
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during the process of creating the suite.
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I would also like to thank all the people in the AI research group at
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the Universit<69> Paris VIII that have helped me to complete my work.
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Finally i would like to thank the two researchers that co-directed my
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work, Tristan Cazenave and Marco A. Pe<50>a.
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