Python number increment - python

I am experimenting with python, and I've made this little math game. Though I am having some issue with a scoring system. Each time the player gets an answer correct, I want the score to increment by 1. I have tried, however I haven't got it to increase each time the player gets something right.
Heres the code
import operator
import random
operations = {
"addition": ("+", operator.add),
"substraction": ("-", operator.sub),
"multiplication": ("*", operator.mul),
"division": ("/", operator.floordiv),
}
def ask_operation(difficulty, maxtries=3):
maxvalue = 5 * difficulty
x = random.randint(1, maxvalue)
y = random.randint(1, maxvalue)
op_name, (op_symbol, op_fun) = random.choice(list(operations.items()))
result = op_fun(x, y)
score = 0
print("Difficulty level %d" % difficulty)
print("Now lets do a %s calculation and see how clever you are." % op_name)
print("So what is %d %s %d?" % (x, op_symbol, y))
for ntry in range(1, 1+maxtries):
answer = int(input(">"))
if answer == result:
print("Correct!")
score += 1
print score
return True
elif ntry == maxtries:
print("That's %s incorrect answers. The end." % maxtries)
else:
print("That's not right. Try again.")
return False
def play(difficulty):
while ask_operation(difficulty):
difficulty += 1
print("Difficulty level achieved: %d" % difficulty)
play(1)

The score is reset to 0 every time in ask_operation. You should initialize it in play instead.
By the way, //Increment score// is not valid Python. You can set comments in Python like this, even in Stack Overflow.
score += 1 # Increment score

Related

My loop is running endlessly even though i have an end condition after i run the code

im doing a small "mastermind" game for a project, seems to run fine up until my last while loop, i thought i have an end statement but it seems to run on repeat. I've been stuck on this for some time now and i would appreciate any and all help on this, thanks! Here is the code:
import random
def generate_code():
"""Create a random code as a list"""
for i in range(0,4):
i = random.randint(0,5)
code.append(i)
print(code)
def make_guess():
"""Let's the user input a guess"""
while len(guess) < 4:
element = input("your guess, one at the time: " )
if element.isnumeric():
element = int(element)
global amountOfGuesses
if element in range(0,6):
guess.append(element)
amountOfGuesses = amountOfGuesses +1
else:
print("number has to be between 0 and 5")
else:
print("has to be a number between 0 and 5")
def right_position(guess, code):
"""Calculate how many correkt numbers on right position the guess have"""
howManyRight = 0
for i in range(4):
if guess[i] == code[i]:
howManyRight = howManyRight +1
return howManyRight
def wrong_position(guess, code):
"""Calculate how many numbers are corret but wrong position"""
howManyWrongPosition = 0
tempCode = code[:]
for i in guess:
if i in tempCode:
tempCode.remove(i)
howManyWrongPosition = howManyWrongPosition +1
howManyWrongPosition = howManyWrongPosition - right_position(guess, code)
return howManyWrongPosition
code = []
guess = []
wrongPosition = []
rightPosition = []
codeCopy = code.copy()
amountOfGuesses = 0
print("Welcome to Mastermind.\nYou get seven guesses to gues a random 4 digit code with 6 different numbers between 0 and 5.")
generate_code()
while amountOfGuesses <= 7:
make_guess()
print("you have", right_position(guess, code), "right numbers on the right position")
print("you have", wrong_position(guess, code), "numbers on that is right but on the wrong posiotion")
if guess[:] == code[:]:
print("Congratulation you won!!! you used", amountOfGuesses, "guesses.")
From what I understand you want one try to be one input of 4 numbers, so I also fixed that. The reason you're getting an infinite loop is because you haven't broken out of the loop at end. You should also clear the guess array, otherwise the for loop inside the make_guess() will just skip due to the length being 4 (in case the guess was wrong and want to try again).
The fixed code (assuming one try is input of 4 numbers):
import random
def generate_code():
"""Create a random code as a list"""
for i in range(0,4):
i = random.randint(0,5)
code.append(i)
print(code)
def make_guess():
"""Let's the user input a guess"""
global amountOfGuesses
while len(guess) < 4:
element = input("your guess, one at the time: " )
if element.isnumeric():
element = int(element)
if element in range(0,6):
guess.append(element)
else:
print("number has to be between 0 and 5")
else:
print("has to be a number between 0 and 5")
amountOfGuesses = amountOfGuesses +1
def right_position(guess, code):
"""Calculate how many correkt numbers on right position the guess have"""
howManyRight = 0
for i in range(4):
if guess[i] == code[i]:
howManyRight = howManyRight +1
return howManyRight
def wrong_position(guess, code):
"""Calculate how many numbers are corret but wrong position"""
howManyWrongPosition = 0
tempCode = code[:]
for i in guess:
if i in tempCode:
tempCode.remove(i)
howManyWrongPosition = howManyWrongPosition +1
howManyWrongPosition = howManyWrongPosition - right_position(guess, code)
return howManyWrongPosition
code = []
guess = []
wrongPosition = []
rightPosition = []
codeCopy = code.copy()
amountOfGuesses = 0
print("Welcome to Mastermind.\nYou get seven guesses to gues a random 4 digit code with 6 different numbers between 0 and 5.")
generate_code()
while 1:
make_guess()
print("you have", right_position(guess, code), "right numbers on the right position")
print("you have", wrong_position(guess, code), "numbers on that is right but on the wrong posiotion")
if guess == code:
print("Congratulation you won!!! you used", amountOfGuesses, "guesses." if amountOfGuesses > 1 else "guess.")
break
elif amountOfGuesses > 7:
print(f"You have lost by using {amountOfGuesses} tries!")
break
guess = []

unexplained crash in my 3x+1 visualization program

This is my first forum post, and I'm fairly new to coding.
I have a problem with my code. I recently watched a video by Veritasium on YouTube where he talked about the 3x+1 theorem. I decided to do something fun with my newfound knowledge and make a visualizer using python and turtle. However, every time I run it, the webpage (I'm using Codehs for this), freezes up. Here's my code.
highestnum = 1
numchosen = int(input("starting number? "))
rounds = 1
def odd(num):
return (num*3)+1
def even(num):
return num*2
while True:
if numchosen%2 == 0:
numchosen = even(numchosen)
else:
numchosen = odd(numchosen)
if numchosen > highestnum:
highestnum = numchosen
if numchosen == 1:
break
print("highest number: " + str(highestnum))
print("number of changes: " + str(rounds))
Please only answer about this crash I'm talking about, and not any optimizations I should do.
Your even function needs to divide by 2, not multiply. Use the // operator for integer division (to avoid a floating point result):
def even(num):
return num // 2
The original code was multiplying instead of dividing, so the value was growing exponentially, without end.
This problem is known as the Collatz Conjecture.
In (def even) you need to divide even number with 2 in order to do 3x + 1 equation.
So improved version of the question will be:
highestnum = 1
numchosen = int(input("starting number? "))
rounds = 1
def odd(num):
return (num*3)+1
def even(num):
return num // 2
while True:
if numchosen%2 == 0:
numchosen = even(numchosen)
else:
numchosen = odd(numchosen)
if numchosen > highestnum:
highestnum = numchosen
if numchosen == 1:
break
print("highest number: " + str(highestnum))
print("number of changes: " + str(rounds))

Keeping a running total of score in python 3

I am writing a program that rolls two dice; and then according to what is rolled, points are assigned; and a running total is kept. So far, I have this; but I keep running into an error of "int is not callable". Can someone please help?
import random
def dice():
a = 1
b = 6
return random.randint(a,b)
rollOne = int(dice())
rollTwo = int(dice())
def greeting():
option = input('Enter Y if you would like to roll the dice: ')
if option == 'Y':
print('You have rolled a' , rollOne, 'and a' , rollTwo)
points = []
if rollOne() == rollTwo():
points.append(10)
print('You have a total of %d points' % (sum(points)))
if rollOne == 6 or rollTwo ==6:
points.append(4)
print('You have a total of %d points' % (sum(points)))
if (rollOne + rollTwo) == 7:
points.append(2)
print('You have a total of %d points' % (sum(points)))
dice()
greeting()
The result from dice() is an integer which you have named rollOne and rollTwo.
They cannot be "called" like you have tried to do rollOne().
In order to solve the error, remove the brackets from the line (which you have done in your other if statements)
if rollOne() == rollTwo():
becomes
if rollOne == rollTwo:
Problem is in this ,
if rollOne() == rollTwo():
rollone and rolltwo are return values not functions

Checking a variable state

I am facing a problem at the moment... I am trying to make a naughts and crosses game, and i am trying to decided whether the user has guessed outside of the grid... this is the code that i have so far come up with and the outcome is that the code crashes, please could you help?
The code below is what i am currently running to get this outcome.
if 'users input' in (command = to left):
Left_new = input("How many places would you like to move left")))
elif 'users input' in (command = right):
Right_new = input("How many places would you like to move right")))
elif 'users input' in (= to up):
up_new = input("How many places would you like to move up")))
elif 'users input' in (= down ):
Down_new =input("How many places would you like to move down")))
else:
if ( users input <9) or ( users input > 100 ):
print("Sorry one of your inputs were invalid...")
Try incorporating a while statement and break from it if the data input is good.
i.e.
while True:
Down_position = (int(input("How many places would you like to move down")))
step = Down_position
if (step + x <= grid_size) and (step + x >= 0):
x += step
break
else:
print ("Sorry, that isn't on the grid")
print_board(board)
Here is some working code (only using Down) as an example.
def print_grid():
print (0,top)
print ("-----------------------------------")
for i in range(len(grid)):
print (i,grid[i])
print ("-----------------------------------")
x = 0
y = 0
top =[0,1,2,3,4,5,6,7,8,9]
grid=[]
for i in range(10):
grid.append([0]*10)
grid_size = len(grid)-1
while True:
while True:
Down_position = (int(input("How many places would you like to move down ")))
step = Down_position
if (step + x <= grid_size) and (step + x >= 0):
grid[x][y] = 0
x += step
grid[x][y] = 1
print_grid()
break
else:
print("******************************")
print ("Sorry, that isn't on the grid")
print("******************************")
print_grid()

Is this a good or bad 'simulation' for Monty Hall? How come? [closed]

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Through trying to explain the Monty Hall problem to a friend during class yesterday, we ended up coding it in Python to prove that if you always swap, you will win 2/3 times. We came up with this:
import random as r
#iterations = int(raw_input("How many iterations? >> "))
iterations = 100000
doors = ["goat", "goat", "car"]
wins = 0.0
losses = 0.0
for i in range(iterations):
n = r.randrange(0,3)
choice = doors[n]
if n == 0:
#print "You chose door 1."
#print "Monty opens door 2. There is a goat behind this door."
#print "You swapped to door 3."
wins += 1
#print "You won a " + doors[2] + "\n"
elif n == 1:
#print "You chose door 2."
#print "Monty opens door 1. There is a goat behind this door."
#print "You swapped to door 3."
wins += 1
#print "You won a " + doors[2] + "\n"
elif n == 2:
#print "You chose door 3."
#print "Monty opens door 2. There is a goat behind this door."
#print "You swapped to door 1."
losses += 1
#print "You won a " + doors[0] + "\n"
else:
print "You screwed up"
percentage = (wins/iterations) * 100
print "Wins: " + str(wins)
print "Losses: " + str(losses)
print "You won " + str(percentage) + "% of the time"
My friend thought this was a good way of going about it (and is a good simulation for it), but I have my doubts and concerns. Is it actually random enough?
The problem I have with it is that the all choices are kind of hard coded in.
Is this a good or bad 'simulation' for the Monty Hall problem? How come?
Can you come up with a better version?
Your solution is fine, but if you want a stricter simulation of the problem as posed (and somewhat higher-quality Python;-), try:
import random
iterations = 100000
doors = ["goat"] * 2 + ["car"]
change_wins = 0
change_loses = 0
for i in xrange(iterations):
random.shuffle(doors)
# you pick door n:
n = random.randrange(3)
# monty picks door k, k!=n and doors[k]!="car"
sequence = range(3)
random.shuffle(sequence)
for k in sequence:
if k == n or doors[k] == "car":
continue
# now if you change, you lose iff doors[n]=="car"
if doors[n] == "car":
change_loses += 1
else:
change_wins += 1
print "Changing has %s wins and %s losses" % (change_wins, change_loses)
perc = (100.0 * change_wins) / (change_wins + change_loses)
print "IOW, by changing you win %.1f%% of the time" % perc
a typical output is:
Changing has 66721 wins and 33279 losses
IOW, by changing you win 66.7% of the time
You mentioned that all the choices are hardcoded in. But if you look closer, you'll notice that what you think are 'choices' are actually not choices at all. Monty's decision is without loss of generality since he always chooses the door with the goat behind it. Your swapping is always determined by what Monty chooses, and since Monty's "choice" was actually not a choice, neither is yours. Your simulation gives the correct results..
I like something like this.
#!/usr/bin/python
import random
CAR = 1
GOAT = 0
def one_trial( doors, switch=False ):
"""One trial of the Monty Hall contest."""
random.shuffle( doors )
first_choice = doors.pop( )
if switch==False:
return first_choice
elif doors.__contains__(CAR):
return CAR
else:
return GOAT
def n_trials( switch=False, n=10 ):
"""Play the game N times and return some stats."""
wins = 0
for n in xrange(n):
doors = [CAR, GOAT, GOAT]
wins += one_trial( doors, switch=switch )
print "won:", wins, "lost:", (n-wins), "avg:", (float(wins)/float(n))
if __name__=="__main__":
import sys
n_trials( switch=eval(sys.argv[1]), n=int(sys.argv[2]) )
$ ./montyhall.py True 10000
won: 6744 lost: 3255 avg: 0.674467446745
Here's my version ...
import random
wins = 0
for n in range(1000):
doors = [1, 2, 3]
carDoor = random.choice(doors)
playerDoor = random.choice(doors)
hostDoor = random.choice(list(set(doors) - set([carDoor, playerDoor])))
# To stick, just comment out the next line.
(playerDoor, ) = set(doors) - set([playerDoor, hostDoor]) # Player swaps doors.
if playerDoor == carDoor:
wins += 1
print str(round(wins / float(n) * 100, 2)) + '%'
Here is an interactive version:
from random import shuffle, choice
cars,goats,iters= 0, 0, 100
for i in range(iters):
doors = ['goat A', 'goat B', 'car']
shuffle(doors)
moderator_door = 'car'
#Turn 1:
selected_door = choice(doors)
print selected_door
doors.remove(selected_door)
print 'You have selected a door with an unknown object'
#Turn 2:
while moderator_door == 'car':
moderator_door = choice(doors)
doors.remove(moderator_door)
print 'Moderator has opened a door with ', moderator_door
#Turn 3:
decision=raw_input('Wanna change your door? [yn]')
if decision=='y':
prise = doors[0]
print 'You have a door with ', prise
elif decision=='n':
prise = selected_door
print 'You have a door with ', prise
else:
prise = 'ERROR'
iters += 1
print 'ERROR:unknown command'
if prise == 'car':
cars += 1
elif prise != 'ERROR':
goats += 1
print '==============================='
print ' RESULTS '
print '==============================='
print 'Goats:', goats
print 'Cars :', cars
My solution with list comprehension to simulate the problem
from random import randint
N = 1000
def simulate(N):
car_gate=[randint(1,3) for x in range(N)]
gate_sel=[randint(1,3) for x in range(N)]
score = sum([True if car_gate[i] == gate_sel[i] or ([posible_gate for posible_gate in [1,2,3] if posible_gate != gate_sel[i]][randint(0,1)] == car_gate[i]) else False for i in range(N)])
return 'you win %s of the time when you change your selection.' % (float(score) / float(N))
print simulate(N)
Not mine sample
# -*- coding: utf-8 -*-
#!/usr/bin/python -Ou
# Written by kocmuk.ru, 2008
import random
num = 10000 # number of games to play
win = 0 # init win count if donot change our first choice
for i in range(1, num): # play "num" games
if random.randint(1,3) == random.randint(1,3): # if win at first choice
win +=1 # increasing win count
print "I donot change first choice and win:", win, " games"
print "I change initial choice and win:", num-win, " games" # looses of "not_change_first_choice are wins if changing
I found this to be the most intuitive way of solving the problem.
import random
# game_show will return True/False if the participant wins/loses the car:
def game_show(knows_bayes):
doors = [i for i in range(3)]
# Let the car be behind this door
car = random.choice(doors)
# The participant chooses this door..
choice = random.choice(doors)
# ..so the host opens another (random) door with no car behind it
open_door = random.choice([i for i in doors if i not in [car, choice]])
# If the participant knows_bayes she will switch doors now
if knows_bayes:
choice = [i for i in doors if i not in [choice, open_door]][0]
# Did the participant win a car?
if choice == car:
return True
else:
return False
# Let us run the game_show() for two participants. One knows_bayes and the other does not.
wins = [0, 0]
runs = 100000
for x in range(0, runs):
if game_show(True):
wins[0] += 1
if game_show(False):
wins[1] += 1
print "If the participant knows_bayes she wins %d %% of the time." % (float(wins[0])/runs*100)
print "If the participant does NOT knows_bayes she wins %d %% of the time." % (float(wins[1])/runs*100)
This outputs something like
If the participant knows_bayes she wins 66 % of the time.
If the participant does NOT knows_bayes she wins 33 % of the time.
Read a chapter about the famous Monty Hall problem today. This is my solution.
import random
def one_round():
doors = [1,1,0] # 1==goat, 0=car
random.shuffle(doors) # shuffle doors
choice = random.randint(0,2)
return doors[choice]
#If a goat is chosen, it means the player loses if he/she does not change.
#This method returns if the player wins or loses if he/she changes. win = 1, lose = 0
def hall():
change_wins = 0
N = 10000
for index in range(0,N):
change_wins += one_round()
print change_wins
hall()
Updated solution
Update, this time using the enum module. Again, going for brevity while using the most expressive features of Python for the problem at hand:
from enum import auto, Enum
from random import randrange, shuffle
class Prize(Enum):
GOAT = auto()
CAR = auto()
items = [Prize.GOAT, Prize.GOAT, Prize.CAR]
num_trials = 100000
num_wins = 0
# Shuffle prizes behind doors. Player chooses a random door, and Monty chooses
# the first of the two remaining doors that is not a car. Then the player
# changes his choice to the remaining door that wasn't chosen yet.
# If it's a car, increment the win count.
for trial in range(num_trials):
shuffle(items)
player = randrange(len(items))
monty = next(i for i, p in enumerate(items) if i != player and p != Prize.CAR)
player = next(i for i in range(len(items)) if i not in (player, monty))
num_wins += items[player] is Prize.CAR
print(f'{num_wins}/{num_trials} = {num_wins / num_trials * 100:.2f}% wins')
Previous solution
Yet another "proof," this time with Python 3. Note the use of generators to select 1) which door Monty opens, and 2) which door the player switches to.
import random
items = ['goat', 'goat', 'car']
num_trials = 100000
num_wins = 0
for trial in range(num_trials):
random.shuffle(items)
player = random.randrange(3)
monty = next(i for i, v in enumerate(items) if i != player and v != 'car')
player = next(x for x in range(3) if x not in (player, monty))
if items[player] == 'car':
num_wins += 1
print('{}/{} = {}'.format(num_wins, num_trials, num_wins / num_trials))
Monty never opens the door with the car - that's the whole point of the show (he isn't your friend an has knowledge of what is behind each door)
Here is different variant I find most intuitive. Hope this helps!
import random
class MontyHall():
"""A Monty Hall game simulator."""
def __init__(self):
self.doors = ['Door #1', 'Door #2', 'Door #3']
self.prize_door = random.choice(self.doors)
self.contestant_choice = ""
self.monty_show = ""
self.contestant_switch = ""
self.contestant_final_choice = ""
self.outcome = ""
def Contestant_Chooses(self):
self.contestant_choice = random.choice(self.doors)
def Monty_Shows(self):
monty_choices = [door for door in self.doors if door not in [self.contestant_choice, self.prize_door]]
self.monty_show = random.choice(monty_choices)
def Contestant_Revises(self):
self.contestant_switch = random.choice([True, False])
if self.contestant_switch == True:
self.contestant_final_choice = [door for door in self.doors if door not in [self.contestant_choice, self.monty_show]][0]
else:
self.contestant_final_choice = self.contestant_choice
def Score(self):
if self.contestant_final_choice == self.prize_door:
self.outcome = "Win"
else:
self.outcome = "Lose"
def _ShowState(self):
print "-" * 50
print "Doors %s" % self.doors
print "Prize Door %s" % self.prize_door
print "Contestant Choice %s" % self.contestant_choice
print "Monty Show %s" % self.monty_show
print "Contestant Switch %s" % self.contestant_switch
print "Contestant Final Choice %s" % self.contestant_final_choice
print "Outcome %s" % self.outcome
print "-" * 50
Switch_Wins = 0
NoSwitch_Wins = 0
Switch_Lose = 0
NoSwitch_Lose = 0
for x in range(100000):
game = MontyHall()
game.Contestant_Chooses()
game.Monty_Shows()
game.Contestant_Revises()
game.Score()
# Tally Up the Scores
if game.contestant_switch and game.outcome == "Win": Switch_Wins = Switch_Wins + 1
if not(game.contestant_switch) and game.outcome == "Win": NoSwitch_Wins = NoSwitch_Wins + 1
if game.contestant_switch and game.outcome == "Lose": Switch_Lose = Switch_Lose + 1
if not(game.contestant_switch) and game.outcome == "Lose": NoSwitch_Lose = NoSwitch_Lose + 1
print Switch_Wins * 1.0 / (Switch_Wins + Switch_Lose)
print NoSwitch_Wins * 1.0 / (NoSwitch_Wins + NoSwitch_Lose)
The learning is still the same, that switching increases your chances of winning, 0.665025416127 vs 0.33554730611 from the above run.
Here's one I made earlier:
import random
def game():
"""
Set up three doors, one randomly with a car behind and two with
goats behind. Choose a door randomly, then the presenter takes away
one of the goats. Return the outcome based on whether you stuck with
your original choice or switched to the other remaining closed door.
"""
# Neither stick or switch has won yet, so set them both to False
stick = switch = False
# Set all of the doors to goats (zeroes)
doors = [ 0, 0, 0 ]
# Randomly change one of the goats for a car (one)
doors[random.randint(0, 2)] = 1
# Randomly choose one of the doors out of the three
choice = doors[random.randint(0, 2)]
# If our choice was a car (a one)
if choice == 1:
# Then stick wins
stick = True
else:
# Otherwise, because the presenter would take away the other
# goat, switching would always win.
switch = True
return (stick, switch)
I also had code to run the game many times, and stored this and the sample output in this repostory.
Here is my solution to the MontyHall problem implemented in python.
This solution makes use of numpy for speed, it also allows you to change the number of doors.
def montyhall(Trials:"Number of trials",Doors:"Amount of doors",P:"Output debug"):
N = Trials # the amount of trial
DoorSize = Doors+1
Answer = (nprand.randint(1,DoorSize,N))
OtherDoor = (nprand.randint(1,DoorSize,N))
UserDoorChoice = (nprand.randint(1,DoorSize,N))
# this will generate a second door that is not the user's selected door
C = np.where( (UserDoorChoice==OtherDoor)>0 )[0]
while (len(C)>0):
OtherDoor[C] = nprand.randint(1,DoorSize,len(C))
C = np.where( (UserDoorChoice==OtherDoor)>0 )[0]
# place the car as the other choice for when the user got it wrong
D = np.where( (UserDoorChoice!=Answer)>0 )[0]
OtherDoor[D] = Answer[D]
'''
IfUserStays = 0
IfUserChanges = 0
for n in range(0,N):
IfUserStays += 1 if Answer[n]==UserDoorChoice[n] else 0
IfUserChanges += 1 if Answer[n]==OtherDoor[n] else 0
'''
IfUserStays = float(len( np.where((Answer==UserDoorChoice)>0)[0] ))
IfUserChanges = float(len( np.where((Answer==OtherDoor)>0)[0] ))
if P:
print("Answer ="+str(Answer))
print("Other ="+str(OtherDoor))
print("UserDoorChoice="+str(UserDoorChoice))
print("OtherDoor ="+str(OtherDoor))
print("results")
print("UserDoorChoice="+str(UserDoorChoice==Answer)+" n="+str(IfUserStays)+" r="+str(IfUserStays/N))
print("OtherDoor ="+str(OtherDoor==Answer)+" n="+str(IfUserChanges)+" r="+str(IfUserChanges/N))
return IfUserStays/N, IfUserChanges/N
I just found that global ratio of winning is 50% and ratio of losing is 50%... It is how the proportion on winning or losing based on selected final option.
%Wins (staying): 16.692
%Wins (switching): 33.525
%Losses (staying) : 33.249
%Losses (switching) : 16.534
Here is my code, that differs from yours + with commented comments so you can run it with small iterations :
import random as r
#iterations = int(raw_input("How many iterations? >> "))
iterations = 100000
doors = ["goat", "goat", "car"]
wins_staying = 0
wins_switching = 0
losses_staying = 0
losses_switching = 0
for i in range(iterations):
# Shuffle the options
r.shuffle(doors)
# print("Doors configuration: ", doors)
# Host will always know where the car is
car_option = doors.index("car")
# print("car is in Option: ", car_option)
# We set the options for the user
available_options = [0, 1 , 2]
# The user selects an option
user_option = r.choice(available_options)
# print("User option is: ", user_option)
# We remove an option
if(user_option != car_option ) :
# In the case the door is a goat door on the user
# we just leave the car door and the user door
available_options = [user_option, car_option]
else:
# In the case the door is the car door
# we try to get one random door to keep
available_options.remove(available_options[car_option])
goat_option = r.choice(available_options)
available_options = [goat_option, car_option]
new_user_option = r.choice(available_options)
# print("User final decision is: ", new_user_option)
if new_user_option == car_option :
if(new_user_option == user_option) :
wins_staying += 1
else :
wins_switching += 1
else :
if(new_user_option == user_option) :
losses_staying += 1
else :
losses_switching += 1
print("%Wins (staying): " + str(wins_staying / iterations * 100))
print("%Wins (switching): " + str(wins_switching / iterations * 100))
print("%Losses (staying) : " + str(losses_staying / iterations * 100))
print("%Losses (switching) : " + str(losses_switching / iterations * 100))

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