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rps.py
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rps.py
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import tkinter as tk
from collections import deque
import numpy as np
import copy as cp
root = tk.Tk()
step = 0
#P_MAT = [[-1, 1], [1, -1]]
#P_MAT_2 = [[1, -100], [-1, 1]]
P_MAT = [[0, -1, 1], [1, 0, -1], [-1, 1, 0]]
P_MAT_2 = [[0, 1, -1], [-1, 0, 1], [1, -1, 0]]
P_MAT = np.asarray(P_MAT)
P_MAT_2 = np.asarray(P_MAT_2)
amtss = []
canv = tk.Canvas(root, height=500, width=1000, bg='white')
canv.pack()
lines_p1 = []
lines_p2 = []
line_tuples_p1 = []
line_tuples_p2 = []
for row in range(len(P_MAT)):
p1strat = np.zeros(len(P_MAT))
p1strat[row] = 1
for col in range(len(P_MAT[0])):
new_amt = [1]
p2strat = np.zeros(len(P_MAT[0]))
p2strat[col] = 1
new_amt.append(np.copy(p1strat))
new_amt.append(p2strat)
amtss.append(new_amt)
line_tuples_p1.append(deque())
line_tuples_p2.append(deque())
print(line_tuples_p1)
prev_amts = cp.deepcopy(amtss)
scale_mul = 500
scale = scale_mul/10
for x in range(0, 10):
canv.create_text(990, 500 - x*scale - 10, text=str(x/10), fill='black')
canv.create_line(0, x*scale, 1000, x*scale, fill='gray')
def smooth_amounts(am):
nu_1 = []
for elem in am[1]:
nu_1.append('%.5f' % (elem/am[0]))
nu_2 = []
for elem in am[2]:
nu_2.append('%.5f' % (elem/am[0]))
return [nu_1, nu_2]
MCT = 8
def calculate():
global step, canv, line_tuples_p1, line_tuples_p2, lines_p1, lines_p2, amtss, prev_amts
for nm, amts in enumerate(amtss):
amts[0] += 1
p1_distr = amts[1]/amts[0]
p2_distr = amts[2]/amts[0]
p1_strat = 0
p2_strat = 0
p1_big = -1000000
p2_big = -1000000
for row in range(len(P_MAT)):
smm = np.sum(np.multiply(p2_distr, P_MAT[row]))
if smm > p1_big:
p1_big = smm
p1_strat = row
for col in range(len(P_MAT[0])):
smm = np.sum(np.multiply(p1_distr, np.swapaxes(P_MAT_2, 0, 1)[col]))
if smm > p2_big:
p2_big = smm
p2_strat = col
amts[1][p1_strat] += 1
amts[2][p2_strat] += 1
print(nm, "-> ", smooth_amounts(amts), amts[0])
step += 1
if step > 1000/MCT:
step = 1000/MCT
for l in line_tuples_p1:
l.popleft()
for l in line_tuples_p2:
l.popleft()
for nm, amts in enumerate(amtss):
line_tuples_p1[nm].append(np.copy(amts[1])/amts[0])
line_tuples_p2[nm].append(np.copy(amts[2])/amts[0])
for value in range(len(amts[1])):
initval = 0
end_tuple = []
for num, tup in enumerate(line_tuples_p1[nm]):
end_tuple.append(initval)
end_tuple.append(500 - scale_mul * line_tuples_p1[nm][num][value])
initval += MCT
if step > 1:
canv.coords(lines_p1[nm][value], tuple(end_tuple))
for value in range(len(amts[2])):
initval = 0
end_tuple = []
for num, tup in enumerate(line_tuples_p2[nm]):
end_tuple.append(initval)
end_tuple.append(500 - scale_mul * line_tuples_p2[nm][num][value])
initval += MCT
if step > 1:
canv.coords(lines_p2[nm][value], tuple(end_tuple))
else:
for nm, amts in enumerate(amtss):
line_tuples_p1[nm].append(np.copy(amts[1])/amts[0])
line_tuples_p2[nm].append(np.copy(amts[2])/amts[0])
if step == 1:
lp1 = []
lp2 = []
for value in range(len(amts[1])):
lp1.append(canv.create_line(0, 0, 0, 0, fill='blue'))
for value in range(len(amts[2])):
lp2.append(canv.create_line(0, 0, 0, 0, fill='red'))
lines_p1.append(lp1)
lines_p2.append(lp2)
else:
for value in range(len(amts[1])):
initval = 0
end_tuple = []
for num, tup in enumerate(line_tuples_p1[nm]):
end_tuple.append(initval)
end_tuple.append(500 - scale_mul * line_tuples_p1[nm][num][value])
initval += MCT
if step > 1:
canv.coords(lines_p1[nm][value], tuple(end_tuple))
for value in range(len(amts[2])):
initval = 0
end_tuple = []
for num, tup in enumerate(line_tuples_p2[nm]):
end_tuple.append(initval)
end_tuple.append(500 - scale_mul * line_tuples_p2[nm][num][value])
initval += MCT
if step > 1:
canv.coords(lines_p2[nm][value], tuple(end_tuple))
prev_amts = cp.deepcopy(amtss)
root.after(1, calculate)
root.after(0, calculate)
root.mainloop()