Improved usability

removed herobrine

README.md

@@ -5,3 +5,5 @@ The prisoner's dilemma is a game theory thought
 experiment that involves two rational agents, each 
 of whom can COORPERATE for mutual benefit or betray 
 their partner ("defect") for individual reward.
+
+YOUR algorithm goes in the contender.py-file. You then go to main and pit it against another contender or itself. 

helper_functions.py

@@ -36,6 +36,7 @@ def analyze_results(game_data):
     #print the results
     for i in lines:
         print(i)
+    return p_1_points,p_2_points
 
 def play_game(games_array,func1,func2,how_many_times):
     for i in range(how_many_times): 
@@ -43,6 +44,17 @@ def play_game(games_array,func1,func2,how_many_times):
         choice_2=func2(games_array,1)
         games_array.append([choice_1,choice_2])
     
-def random_choice(game_data,player_nr):
+def analyze_scores(score_table):
-    ret=True
+    average_score_p_1=0
-    return ret
+    average_score_p_2=0
+    p1_sum=0
+    p2_sum=0
+    for i in score_table:
+        p1_sum+=i[0]
+        p2_sum+=i[1]
+
+    average_score_p_1=p1_sum/len(score_table)  
+    average_score_p_2=p2_sum/len(score_table)  
+    print(str(average_score_p_1))
+    print(str(average_score_p_2))
+    #print(score_table)

main.py

@@ -9,10 +9,19 @@
 import helper_functions
 import contenders
 #vars
+#keeping track of the individual games
 games=[]
+#keeping track of the games scores for later analysis
+scores=[]
+nr_of_rounds=30
+nr_of_games=300
+function1=contenders.random_positive_leaner
+function2=contenders.random_positive_leaner
 #XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
 #                      Put YOUR function down below
 #XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
-
+for i in range(nr_of_games):
-helper_functions.play_game( games,contenders.random_positive_leaner ,         contenders.my_winning_function            ,30)
+    helper_functions.play_game( games,function1,function2,nr_of_rounds)
-helper_functions.analyze_results(games)
+    scores.append(helper_functions.analyze_results(games))
+    games=[]
+helper_functions.analyze_scores(scores)