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| ''' | ||
| Created on 16.08.2014 | ||
| @author: christoph | ||
| ''' | ||
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| K = 10 | ||
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| class Elo(object): | ||
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| def match(self, p1, p2): | ||
| algo_func=self.__match_algo_strict | ||
| return algo_func(p1, p2) | ||
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| @staticmethod | ||
| def __match_algo_strict(winner, looser): | ||
| #elo algorithm - simple modifications | ||
| r1 = max(min(looser.score - winner.score, 400), -400) | ||
| r2 = max(min(winner.score - looser.score, 400), -400) | ||
| e1 = 1.0 / (1 10**(r1 / 400)) | ||
| e2 = 1.0 / (1 10**(r2 / 400)) | ||
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| s1 = 1 | ||
| s2 = 0 | ||
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| winner.score = winner.score K*(s1-e1) | ||
| looser.score = looser.score K*(s2-e2) | ||
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| #increase wincounter | ||
| winner.wins =1 | ||
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| #increase matchcounter | ||
| winner.matches =1 | ||
| looser.matches =1 | ||
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| return winner, looser | ||
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| def __match_algo_experimental(self, winner, looser): | ||
| #elo algorithm - simple modifications | ||
| r1 = max(min(looser.score - winner.score, 400), -400) | ||
| r2 = max(min(winner.score - looser.score, 400), -400) | ||
| e1 = 1.0 / (1 10**(r1 / 400)) | ||
| e2 = 1.0 / (1 10**(r2 / 400)) | ||
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| winner.set_score(winner.score K*e2) | ||
| looser.set_score(looser.score-K*e2) | ||
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| #increase wincounter | ||
| winner.wins =1 | ||
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| #increase matchcounter | ||
| winner.matches =1 | ||
| looser.matches =1 | ||
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