1"""LICENSE 

2Copyright 2020 Hermann Krumrey <hermann@krumreyh.com> 

3 

4This file is part of betbot. 

5 

6betbot is free software: you can redistribute it and/or modify 

7it under the terms of the GNU General Public License as published by 

8the Free Software Foundation, either version 3 of the License, or 

9(at your option) any later version. 

10 

11betbot is distributed in the hope that it will be useful, 

12but WITHOUT ANY WARRANTY; without even the implied warranty of 

13MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

14GNU General Public License for more details. 

15 

16You should have received a copy of the GNU General Public License 

17along with betbot. If not, see <http://www.gnu.org/licenses/>. 

18LICENSE""" 

19 

20from typing import Tuple 

21from betbot.prediction.SKLearnPredictor import SKLearnPredictor 

22 

23 

24class NameAndOddsPredictor(SKLearnPredictor): 

25 """ 

26 scikit-learn powered predictor that uses the name and betting odds 

27 """ 

28 

29 @classmethod 

30 def name(cls) -> str: 

31 """ 

32 :return: The name of the predictor 

33 """ 

34 return "name-and-odds" 

35 

36 # noinspection PyMethodMayBeStatic 

37 def interpret_results(self, home_result: float, away_result: float) -> \ 

38 Tuple[int, int]: 

39 """ 

40 Interprets the raw results 

41 :param home_result: The home goals result 

42 :param away_result: The away goals result 

43 :return: The home goals, the away goals 

44 """ 

45 min_score = min([home_result, away_result]) 

46 normer = round(min_score) 

47 home_score = round(home_result - min_score + normer) 

48 away_score = round(away_result - min_score + normer) 

49 if home_score == away_score: 

50 if min_score == home_result: 

51 away_score += 1 

52 else: 

53 home_score += 1 

54 

55 return home_score, away_score