rwitz commited on
Commit
a9af44a
1 Parent(s): 5425a03

Update elo.py

Browse files
Files changed (1) hide show
  1. elo.py +11 -26
elo.py CHANGED
@@ -1,14 +1,10 @@
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- import math
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- def update_elo_ratings(ratings_dict, winner, loser, category):
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- # Extract old ratings and games played for the specific category
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- winner_category_data = ratings_dict.get(winner, {}).get(category, {})
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- loser_category_data = ratings_dict.get(loser, {}).get(category, {})
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-
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- winner_old_rating = winner_category_data.get('elo_rating', 1200)
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- loser_old_rating = loser_category_data.get('elo_rating', 1200)
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- winner_games_played = winner_category_data.get('games_played', 0)
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- loser_games_played = loser_category_data.get('games_played', 0)
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  # Function to determine the K-factor based on games played
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  def determine_k_factor(games_played):
@@ -38,19 +34,8 @@ def update_elo_ratings(ratings_dict, winner, loser, category):
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  # Calculate new ratings
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  winner_new_rating, loser_new_rating = elo(winner_old_rating, loser_old_rating, k_factor_winner=winner_k_factor, k_factor_loser=loser_k_factor)
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- # Update ratings and games played in the dictionary for the specific category
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- if winner not in ratings_dict:
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- ratings_dict[winner] = {}
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- if category not in ratings_dict[winner]:
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- ratings_dict[winner][category] = {}
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- ratings_dict[winner][category]['elo_rating'] = winner_new_rating
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- ratings_dict[winner][category]['games_played'] = winner_games_played + 1
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-
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- if loser not in ratings_dict:
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- ratings_dict[loser] = {}
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- if category not in ratings_dict[loser]:
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- ratings_dict[loser][category] = {}
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- ratings_dict[loser][category]['elo_rating'] = loser_new_rating
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- ratings_dict[loser][category]['games_played'] = loser_games_played + 1
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-
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- return ratings_dict
 
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+ def update_elo_ratings(ratings_dict, winner, loser):
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+ # Extract old ratings and games played
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+ winner_old_rating = ratings_dict.get(winner, {}).get('elo_rating', 1200)
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+ loser_old_rating = ratings_dict.get(loser, {}).get('elo_rating', 1200)
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+ winner_games_played = ratings_dict.get(winner, {}).get('games_played', 0)
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+ loser_games_played = ratings_dict.get(loser, {}).get('games_played', 0)
 
 
 
 
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  # Function to determine the K-factor based on games played
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  def determine_k_factor(games_played):
 
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  # Calculate new ratings
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  winner_new_rating, loser_new_rating = elo(winner_old_rating, loser_old_rating, k_factor_winner=winner_k_factor, k_factor_loser=loser_k_factor)
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+ # Update ratings and games played in the dictionary
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+ ratings_dict[winner] = {'elo_rating': winner_new_rating, 'games_played': winner_games_played + 1}
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+ ratings_dict[loser] = {'elo_rating': loser_new_rating, 'games_played': loser_games_played + 1}
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+
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+ return ratings_dict