clearer example of (one) problem

Author: rahulsavani

tests/test_nash.py

@@ -927,61 +927,10 @@ def test_regrets_tmp():
 
 
 def test_regrets_tmp2():
-
     g = games.create_3_player_with_internal_outcomes_efg()
-
     prof_data_rat = [[[1, 0], [1, 0]], [[1, 0], ["1/2", "1/2"]], [[1, 0], [0, 1]]]
     profile_rat = g.mixed_behavior_profile(rational=True, data=prof_data_rat)
     print()
     print(profile_rat.max_regret())  # 3/2
-    # print(profile1.max_regret()) # same
     profile_rat = g.mixed_behavior_profile(rational=True, data=prof_data_rat)
     print(profile_rat.max_regret())  # now different! 0
-    print("=======================================")
-
-    prof_data_doub = [[[1, 0], [1, 0]], [[1, 0], [0.5, 0.5]], [[1, 0], [0, 1]]]
-    profile_doub = g.mixed_behavior_profile(rational=False, data=prof_data_doub)
-    print()
-    print(profile_doub.max_regret())
-    # print(profile1.max_regret()) # same
-    profile_doub = g.mixed_behavior_profile(rational=False, data=prof_data_doub)
-    print(profile_doub.max_regret())
-    print("=======================================")
-
-    prof_data_rat = [[[1, 0], [1, 0]], [[1, 0], ["1/2", "1/2"]], [[1, 0], [0, 1]]]
-    profile_rat = g.mixed_behavior_profile(rational=True, data=prof_data_rat)
-    print()
-    print(profile_rat.max_regret())
-    # print(profile1.max_regret()) # same
-    profile_rat = g.mixed_behavior_profile(rational=True, data=prof_data_rat)
-    print(profile_rat.max_regret())
-    print("=======================================")
-
-
-def test_regrets_tmp3():
-
-    g = games.create_3_player_with_internal_outcomes_efg()
-
-    prof_data_doub = [[[1, 0], [1, 0]], [[1, 0], [0.5, 0.5]], [[1, 0], [0, 1]]]
-    profile_doub = g.mixed_behavior_profile(rational=False, data=prof_data_doub)
-    print()
-    print(profile_doub.max_regret())  # 1.5
-    profile_doub = g.mixed_behavior_profile(rational=False, data=prof_data_doub)
-    print(profile_doub.max_regret())  # now different! 0
-    print("=======================================")
-
-    prof_data_rat = [[[1, 0], [1, 0]], [[1, 0], ["1/2", "1/2"]], [[1, 0], [0, 1]]]
-    profile_rat = g.mixed_behavior_profile(rational=True, data=prof_data_rat)
-    print()
-    print(profile_rat.max_regret())
-    profile_rat = g.mixed_behavior_profile(rational=True, data=prof_data_rat)
-    print(profile_rat.max_regret())
-    print("=======================================")
-
-    prof_data_doub = [[[1, 0], [1, 0]], [[1, 0], [0.5, 0.5]], [[1, 0], [0, 1]]]
-    profile_doub = g.mixed_behavior_profile(rational=False, data=prof_data_doub)
-    print()
-    print(profile_doub.max_regret())
-    profile_doub = g.mixed_behavior_profile(rational=False, data=prof_data_doub)
-    print(profile_doub.max_regret())
-    print("=======================================")