This program has been disqualified.
Author | Dhairya Jain |
Submission date | 2019-06-02 14:11:04.183339 |
Rating | 6042 |
Matches played | 143 |
Win rate | 60.14 |
import random
beat = {"R": "P", "P": "S", "S": "R"}
def stat_update_helper(stat_ref):
global human_choice
global comp_choice
print human_choice
if human_choice[-2][1] == stat_ref:
if beat[comp_choice[-2][0]] == human_choice[-1][0]:
stats[stat_ref][1] += aggression
elif comp_choice[-2][0] == human_choice[-1][0]:
stats[stat_ref][0] += aggression
else:
stats[stat_ref][2] += aggression
def stat_update():
stat_update_helper("win")
stat_update_helper("draw")
stat_update_helper("lose")
def weight():
global r_weight
global p_weight
global s_weight
global human_choice
if human_choice[-1] == ["R", "win"]:
r_weight = float(stats["win"][0]) / sum(stats["win"])
p_weight = float(stats["win"][1]) / sum(stats["win"])
s_weight = float(stats["win"][2]) / sum(stats["win"])
elif human_choice[-1] == ["P", "win"]:
r_weight = float(stats["win"][2]) / sum(stats["win"])
p_weight = float(stats["win"][0]) / sum(stats["win"])
s_weight = float(stats["win"][1]) / sum(stats["win"])
elif human_choice[-1] == ["S", "win"]:
r_weight = float(stats["win"][1]) / sum(stats["win"])
p_weight = float(stats["win"][2]) / sum(stats["win"])
s_weight = float(stats["win"][0]) / sum(stats["win"])
elif human_choice[-1] == ["R", "draw"]:
r_weight = float(stats["draw"][2]) / sum(stats["draw"])
p_weight = float(stats["draw"][0]) / sum(stats["draw"])
s_weight = float(stats["draw"][1]) / sum(stats["draw"])
elif human_choice[-1] == ["P", "draw"]:
r_weight = float(stats["draw"][1]) / sum(stats["draw"])
p_weight = float(stats["draw"][2]) / sum(stats["draw"])
s_weight = float(stats["draw"][0]) / sum(stats["draw"])
elif human_choice[-1] == ["S", "draw"]:
r_weight = float(stats["draw"][0]) / sum(stats["draw"])
p_weight = float(stats["draw"][1]) / sum(stats["draw"])
s_weight = float(stats["draw"][2]) / sum(stats["draw"])
elif human_choice[-1] == ["R", "lose"]:
r_weight = float(stats["lose"][1]) / sum(stats["lose"])
p_weight = float(stats["lose"][2]) / sum(stats["lose"])
s_weight = float(stats["lose"][0]) / sum(stats["lose"])
#print r_weight, p_weight, s_weight
elif human_choice[-1] == ["P", "lose"]:
r_weight = float(stats["lose"][0]) / sum(stats["lose"])
p_weight = float(stats["lose"][1]) / sum(stats["lose"])
s_weight = float(stats["lose"][2]) / sum(stats["lose"])
elif human_choice[-1] == ["S", "lose"]:
r_weight = float(stats["lose"][2]) / sum(stats["lose"])
p_weight = float(stats["lose"][0]) / sum(stats["lose"])
s_weight = float(stats["lose"][1]) / sum(stats["lose"])
def logic(comp, human):
global human_choice
global comp_choice
if comp == human:
human_choice.append([human, "draw"])
comp_choice.append([comp, "draw"])
elif beat[comp] == human:
human_choice.append([human, "win"])
comp_choice.append([comp, "lose"])
elif beat[human] == comp:
human_choice.append([human, "lose"])
comp_choice.append([comp, "win"])
if not input:
stats = {"win": [1, 1, 1], "draw": [1, 1, 1], "lose": [1, 1, 1]}
r_weight = 0
p_weight = 0
s_weight = 0
aggression = 1
human_choice = []
comp_choice = []
comp_input = random.choice(["R", "P", "S"])
logic_x = logic(comp_input, random.choice(["R", "P", "S"]))
logic_x = logic(comp_input, random.choice(["R", "P", "S"]))
kill = True
else:
if len(human_choice) == 4 and kill:
human_choice = human_choice[-2:]
comp_choice = comp_choice[-2:]
kill = False
stat_update()
weight()
human_input = input
comp_input = random.choice(list("R" * int(round(r_weight * 100)) + "P" * int(round(p_weight * 100)) + "S" * int(round(s_weight * 100))))
logic_x = logic(comp_input, human_input)
output = str(comp_input)