| Author | Prakhar |
| Submission date | 2019-05-03 04:44:45.199255 |
| Rating | 4977 |
| Matches played | 241 |
| Win rate | 47.3 |
Use rpsrunner.py to play unranked matches on your computer.
import random
last_strat_used = 0
chances = 0
strat_1 = 0
strat_2 = 0
strat_3 = 0
human_moves_arr = []
result_arr = []
rep_arr = []
repi = 0
draw_rep_arr = []
win_rep_arr = []
lose_rep_arr = []
draw_repi = 0
win_repi = 0
lose_repi = 0
def back_move(move):
if move == 1:
return 3
elif move == 2:
return 1
else:
return 3
def front_move(move):
if move == 1:
return 2
elif move == 2:
return 3
else:
return 1
def pakkhu_think():
n = random.randint(1, 3) - 1
global last_strat_used
global strat_1
global strat_2
global strat_3
global human_moves_arr
global result_arr
global rep_arr
global repi
global draw_rep_arr
global win_rep_arr
global lose_rep_arr
global draw_repi
global win_repi
global lose_repi
global chances
if chances == 0 or chances == 1 or chances == 2 or chances == 3:
return random.randint(1, 3)
else:
best_move = seq_type_1()
if best_move == 0:
best_move = seq_type_2()
if best_move == 0:
if chances >= 6:
best_move = seq_type_3()
else:
best_move = back_move(human_moves_arr[chances - 1])
if best_move != 0:
return best_move
else:
if strat_1 == strat_2 and strat_2 == strat_3:
if n == 0:
last_strat_used = 1
return strat_1_func()
elif n == 1:
last_strat_used = 2
return strat_2_func()
else:
last_strat_used = 3
return strat_3_func()
elif strat_1 == strat_2 and strat_3 < strat_1:
n = random.randint(0, 1)
if n == 0:
last_strat_used = 1
return strat_1_func()
else:
last_strat_used = 2
return strat_2_func()
elif strat_1 == strat_3 and strat_2 < strat_1:
n = random.randint(0, 1)
if n == 0:
last_strat_used = 1
return strat_1_func()
else:
last_strat_used = 3
return strat_3_func()
elif strat_3 == strat_2 and strat_1 < strat_3:
n = random.randint(0, 1)
if n == 0:
last_strat_used = 3
return strat_3_func()
else:
last_strat_used = 2
return strat_2_func()
elif strat_1 > strat_2 and strat_1 > strat_3:
last_strat_used = 1
return strat_1_func()
elif strat_2 > strat_3:
last_strat_used = 2
return strat_2_func()
else:
last_strat_used = 3
return strat_3_func()
chances+=1
def seq_type_1():
global last_strat_used
global strat_1
global strat_2
global strat_3
global human_moves_arr
global result_arr
global rep_arr
global repi
global draw_rep_arr
global win_rep_arr
global lose_rep_arr
global draw_repi
global win_repi
global lose_repi
global chances
a = human_moves_arr[chances - 1]
b = human_moves_arr[chances - 2]
c = human_moves_arr[chances - 3]
d = human_moves_arr[chances - 4]
if a == b and b == c and c == d:
return front_move(a)
else:
return 0
def seq_type_2():
global last_strat_used
global strat_1
global strat_2
global strat_3
global human_moves_arr
global result_arr
global rep_arr
global repi
global draw_rep_arr
global win_rep_arr
global lose_rep_arr
global draw_repi
global win_repi
global lose_repi
global chances
a = human_moves_arr[chances - 1]
b = human_moves_arr[chances - 2]
c = human_moves_arr[chances - 3]
d = human_moves_arr[chances - 4]
if a != b and a == c and b == d:
return front_move(b)
else:
return 0
def seq_type_3():
global last_strat_used
global strat_1
global strat_2
global strat_3
global human_moves_arr
global result_arr
global rep_arr
global repi
global draw_rep_arr
global win_rep_arr
global lose_rep_arr
global draw_repi
global win_repi
global lose_repi
global chances
a = human_moves_arr[chances - 1]
b = human_moves_arr[chances - 2]
c = human_moves_arr[chances - 3]
d = human_moves_arr[chances - 4]
e = human_moves_arr[chances - 5]
f = human_moves_arr[chances - 6]
if a != b and b != c and c != a and a == d and b == e and c == f:
return front_move(c)
else:
return 0
def strat_1_func():
global last_strat_used
global strat_1
global strat_2
global strat_3
global human_moves_arr
global result_arr
global rep_arr
global repi
global draw_rep_arr
global win_rep_arr
global lose_rep_arr
global draw_repi
global win_repi
global lose_repi
global chances
if result_arr[chances - 1] == 0:
best_move = find_pattern(draw_rep_arr, draw_repi, 0)
elif result_arr[chances - 1] == -1:
best_move = find_pattern(lose_rep_arr, lose_repi, -1)
else:
best_move = find_pattern(win_rep_arr, win_repi, 1)
return best_move
def strat_3_func():
global last_strat_used
global strat_1
global strat_2
global strat_3
global human_moves_arr
global result_arr
global rep_arr
global repi
global draw_rep_arr
global win_rep_arr
global lose_rep_arr
global draw_repi
global win_repi
global lose_repi
global chances
return find_pattern(rep_arr, repi, 4)
def strat_2_func():
global last_strat_used
global strat_1
global strat_2
global strat_3
global human_moves_arr
global result_arr
global rep_arr
global repi
global draw_rep_arr
global win_rep_arr
global lose_rep_arr
global draw_repi
global win_repi
global lose_repi
global chances
d = human_moves_arr[chances - 1]
a = 0
b = 0
c = 0
for i in range(chances - 2, -1, -1):
if (i + 1) <= chances - 1 and human_moves_arr[i] == d:
if human_moves_arr[i + 1] == 1:
a += 2*(round(i+3)/3)
elif human_moves_arr[i + 1] == 2:
b += 2*(round(i+3)/3)
else:
c += 2*(round(i+3)/3)
if a >= b and a >= c:
return 2
elif b >= c:
return 3
else:
return 1
def find_pattern(arr, n, q):
global last_strat_used
global strat_1
global strat_2
global strat_3
global human_moves_arr
global result_arr
global rep_arr
global repi
global draw_rep_arr
global win_rep_arr
global lose_rep_arr
global draw_repi
global win_repi
global lose_repi
global chances
c = 0
d = 0
if n >= 2:
a = arr[n - 1]
b = arr[n - 2]
i = n - 3
while (i >= 0):
if arr[i] == b and arr[i + 1] == a:
if i + 3 <= n and arr[i + 3] == 1:
c += 2*(round(i+3)/3)
elif i + 3 <= n and arr[i + 3] == 0:
d += 2*(round(i+3)/3)
i -= 1
if d >= c:
return front_move(human_moves_arr[chances - 1])
else:
return back_move(human_moves_arr[chances - 1])
else:
if arr[n - 1] == 1:
return front_move(human_moves_arr[chances - 1])
else:
return back_move(human_moves_arr[chances - 1])
for i in range(1, 501):
rep_arr.append(int(0))
draw_rep_arr.append(int(0))
win_rep_arr.append(int(0))
lose_rep_arr.append(int(0))
human_moves_arr.append(int(0))
result_arr.append(int(0))
if input == "":
last_strat_used = 0
chances = 0
strat_1 = 0
strat_2 = 0
strat_3 = 0
repi = 0
draw_repi = 0
win_repi = 0
lose_repi = 0
else:
if input == "R":
human_moves_arr[chances-1] = 1
if game_move==1:
result_arr[chances-1] = 0
elif game_move==2:
result_arr[chances-1] = 1
else:
result_arr[chances-1] = -1
elif input == "P":
human_moves_arr[chances-1] = 2
if game_move==1:
result_arr[chances-1] = -1
elif game_move==2:
result_arr[chances-1] = 0
else:
result_arr[chances-1] = 1
elif input == "S":
human_moves_arr[chances-1] = 3
if game_move==1:
result_arr[chances-1] = 1
elif game_move==2:
result_arr[chances-1] = -1
else:
result_arr[chances-1] = 0
if result_arr[chances-1] == 1:
if last_strat_used == 1:
strat_1 += 2
elif last_strat_used == 2:
strat_2 += 2
elif last_strat_used == 3:
strat_3 += 2
elif result_arr[chances-1] == -1:
if last_strat_used == 1:
strat_1 -= 3
elif last_strat_used == 2:
strat_2 -= 3
elif last_strat_used == 3:
strat_3 -= 3
if chances >= 2:
if result_arr[chances - 1] == 0:
if human_moves_arr[chances - 2] == human_moves_arr[chances - 1]:
draw_rep_arr[draw_repi] = 1
else:
draw_rep_arr[draw_repi] = 0
draw_repi += 1
elif result_arr[chances - 1] == -1:
if human_moves_arr[chances - 2] == human_moves_arr[chances - 1]:
lose_rep_arr[lose_repi] = 1
else:
lose_rep_arr[lose_repi] = 0
lose_repi += 1
else:
if human_moves_arr[chances - 2] == human_moves_arr[chances - 1]:
win_rep_arr[win_repi] = 1
else:
win_rep_arr[win_repi] = 0
win_repi += 1
if human_moves_arr[chances - 1] == human_moves_arr[chances - 2]:
rep_arr[repi] = 1
else:
rep_arr[repi] = 0
repi += 1
game_move = pakkhu_think()
if game_move==1:
output = "R"
elif game_move==2:
output = "P"
else:
output = "S"