gto_rock_paper_and_scissors.py

import  matplotlib.pyplot as plt

def gto_strategy():
    return random.choice(Selection.OPTIONS)
gto_wins = 0

def rock_is_the_thing_strategy():
    return 'rock'
rock_wins = 0

for _ in range(1000000):
    gto_selection = gto_strategy()
    rock_selection = rock_is_the_thing_strategy()
    
    if gto_selection > rock_selection:
        gto_wins += 1
    if rock_selection > gto_selection:
        rock_wins += 1

# I read data smart and know that John Foreman will haunt me down for using a pie-chart,
# but I have the feeling that this time it'll transport percentage distributions well ...
plt.pie(
    [gto_wins, rock_wins], 
    labels=['GTO', 'Rock'],
    colors=['lightskyblue', 'lightcoral'],
    shadow=True,
    radius=2
)
plt.show()