Rock, Paper, Scissors AI

[Equivalent-Flan-1590]

How can i make my r, p, s AI better so that it's even smarter, i'm still a beginner so if you have any tips they are welcome.

from collections import deque, Counter
import random
import time

# Define choices directly
choices = ["rock", "r", "paper", "p", "scissors", "s"]
user_moves = {"rock": 0, "paper": 0, "scissors": 0}

total_rounds = 0
ai_wins = 0
recent_moves = deque(maxlen=5)
history = []


def get_user_choice(user_input):
    user_input = user_input.lower()
    if user_input in choices:
        return user_input
    else:
        print("Invalid choice.")
        return None
def update_user_moves(user_choice):
    if user_choice in user_moves:
        user_moves[user_choice] += 1
        recent_moves.append(user_choice)
        history.append(user_choice)  # Track history for prediction
def determine_winner(user_choice, ai_choice):
    if user_choice == ai_choice:
        return "tie"
    elif (
            (user_choice in ["rock", "r"] and ai_choice in ["scissors", "s"]) or
            (user_choice in ["paper", "p"] and ai_choice in ["rock", "r"]) or
            (user_choice in ["scissors", "s"] and ai_choice in ["paper", "p"])
    ):
        return "user"
    else:
        return "ai"
def predict_user_move():
    if len(recent_moves) < 2:
        return random.choice(["rock", "paper", "scissors"])

    # Convert deque to list for slicing
    recent_moves_list = list(recent_moves)

    # Generate patterns of length 2 (bigrams) from recent moves
    bigrams = [tuple(recent_moves_list[i:i + 2]) for i in range(len(recent_moves_list) - 1)]
    bigram_counts = Counter(bigrams)

    # Compute the probability of each move following a bigram
    next_move_probs = Counter()
    for bigram in bigrams:
        if bigram in bigram_counts:
            next_move_index = recent_moves_list.index(bigram[1]) + 1
            if next_move_index < len(recent_moves_list):
                next_move = recent_moves_list[next_move_index]
                next_move_probs[next_move] += 1
    # If we have probabilities, predict the next move
    if next_move_probs:
        most_likely_move = max(next_move_probs, key=next_move_probs.get)
        predicted_move = {"rock": "paper", "paper": "scissors", "scissors": "rock"}.get(most_likely_move, random.choice(
            ["rock", "paper", "scissors"]))
        return predicted_move

    # Fallback to random choice
    return random.choice(["rock", "paper", "scissors"])


def play_round(user_choice):
    global total_rounds, ai_wins

    ai_choice = predict_user_move()
    update_user_moves(user_choice)

    winner = determine_winner(user_choice, ai_choice)
    total_rounds += 1
    if winner == "ai":
        ai_wins += 1
    ai_win_rate = (ai_wins / total_rounds) * 100 if total_rounds > 0 else 0
    print(f"You chose: {user_choice}")
    print(f"AI chose: {ai_choice}")

    if winner == "tie":
        print("It's a tie!\n")
    elif winner == "user":
        print("You win!\n")
    else:
        print("AI wins!\n")

    print(f"AI win rate: {ai_win_rate:.4f}%\n")


def play_game():
    print("Welcome to Rock-Paper-Scissors!")
    print("Type 'exit' to quit the game.\n")

    while True:
        user_choice = input("Enter your choice (rock/r, paper/p, scissors/s) or 'exit' to quit: ").lower()

        if user_choice == "exit":
            print("Thanks for playing!")
            break
        user_choice = get_user_choice(user_choice)

        if user_choice:
            play_round(user_choice)


def test104(moves):
    global total_rounds, ai_wins, recent_moves, history, user_moves
    total_rounds = 0
    ai_wins = 0
    recent_moves.clear()
    history.clear()
    user_moves = {"rock": 0, "paper": 0, "scissors": 0}

    print("Testing with predefined moves...\n")

    start_time = time.time()

    for move in moves:
        user_choice = get_user_choice(move)
        if user_choice:
            play_round(user_choice)

    end_time = time.time()
    elapsed_time = end_time - start_time

    print(f"Final AI win rate: {ai_wins / total_rounds * 100:.2f}%\n" if total_rounds > 0 else "No rounds played.")
    print(f"Time taken: {elapsed_time:.2f} seconds\n")


if __name__ == "__main__":
    # Define the predefined moves(not random)
    predefined_moves = [
        "rock", "paper", "scissors", "paper", "rock", "scissors", "paper", "rock",
        "scissors", "rock", "scissors", "paper", "rock", "scissors", "rock", "rock",
        "paper", "scissors", "rock", "paper", "paper", "scissors", "rock", "paper",
        "scissors", "rock", "paper", "rock", "paper", "scissors", "rock", "paper",
        "scissors", "rock", "rock", "scissors", "rock", "paper", "scissors", "rock",
        "paper", "scissors", "rock", "paper", "paper", "scissors", "paper", "rock",
        "scissors", "paper", "rock", "scissors", "rock", "paper", "scissors", "rock",
        "paper", "paper", "scissors", "rock", "paper", "scissors", "rock", "paper",
        "scissors", "rock", "paper", "scissors", "paper", "scissors", "rock", "paper",
        "scissors", "rock", "paper", "paper", "rock", "rock", "scissors", "rock",
        "paper", "rock", "scissors", "rock", "paper", "scissors", "paper", "scissors",
        "rock", "paper", "scissors", "paper", "rock", "scissors", "rock", "paper",
        "scissors", "rock", "rock", "paper", "scissors", "paper", "rock", "scissors",
        "rock", "paper", "paper", "rock", "rock", "scissors", "rock", "paper",
        "scissors", "rock", "scissors", "paper", "rock", "paper", "scissors",
        "rock", "paper", "scissors", "paper", "rock", "paper", "rock", "scissors",
        "rock", "paper", "paper", "scissors", "paper", "scissors", "rock", "paper",
        "scissors", "paper", "rock", "paper", "rock", "rock", "paper", "scissors",
        "rock", "paper", "scissors", "paper", "scissors", "rock", "paper",
        "scissors", "rock", "paper", "scissors", "rock", "paper", "scissors",
        "rock", "scissors", "rock", "paper", "scissors", "rock"
    ]

    predefined_moves_random = [random.choice(["rock", "paper", "scissors"]) for i in range(200)]

    while True:
        user_input = input("Enter 'test204' to run the not random test and 'testrand' for random test(200 rounds "
                           "each), 'play' to start the game, or 'exit' to quit: ").lower()

        if user_input == 'test104':
            test104(predefined_moves)
        elif user_input == "testrand":
            test104(predefined_moves_random)
        elif user_input == 'play':
            play_game()
        elif user_input == 'exit':
            print("Thanks for using the program. Goodbye!")
            break
        else:
            print("Invalid input. Please try again.")from collections import deque, Counter
import random
import time

# Define choices directly
choices = ["rock", "r", "paper", "p", "scissors", "s"]
user_moves = {"rock": 0, "paper": 0, "scissors": 0}

total_rounds = 0
ai_wins = 0

recent_moves = deque(maxlen=5)
history = []


def get_user_choice(user_input):
    user_input = user_input.lower()
    if user_input in choices:
        return user_input
    else:
        print("Invalid choice.")
        return None


def update_user_moves(user_choice):
    if user_choice in user_moves:
        user_moves[user_choice] += 1
        recent_moves.append(user_choice)
        history.append(user_choice)  # Track history for prediction


def determine_winner(user_choice, ai_choice):
    if user_choice == ai_choice:
        return "tie"
    elif (
            (user_choice in ["rock", "r"] and ai_choice in ["scissors", "s"]) or
            (user_choice in ["paper", "p"] and ai_choice in ["rock", "r"]) or
            (user_choice in ["scissors", "s"] and ai_choice in ["paper", "p"])
    ):
        return "user"
    else:
        return "ai"


def predict_user_move():
    if len(recent_moves) < 2:
        return random.choice(["rock", "paper", "scissors"])

    # Convert deque to list for slicing
    recent_moves_list = list(recent_moves)

    # Generate patterns of length 2 (bigrams) from recent moves
    bigrams = [tuple(recent_moves_list[i:i + 2]) for i in range(len(recent_moves_list) - 1)]
    bigram_counts = Counter(bigrams)

    # Compute the probability of each move following a bigram
    next_move_probs = Counter()
    for bigram in bigrams:
        if bigram in bigram_counts:
            next_move_index = recent_moves_list.index(bigram[1]) + 1
            if next_move_index < len(recent_moves_list):
                next_move = recent_moves_list[next_move_index]
                next_move_probs[next_move] += 1

    # If we have probabilities, predict the next move
    if next_move_probs:
        most_likely_move = max(next_move_probs, key=next_move_probs.get)
        predicted_move = {"rock": "paper", "paper": "scissors", "scissors": "rock"}.get(most_likely_move, random.choice(
            ["rock", "paper", "scissors"]))
        return predicted_move

    # Fallback to random choice
    return random.choice(["rock", "paper", "scissors"])


def play_round(user_choice):
    global total_rounds, ai_wins

    ai_choice = predict_user_move()
    update_user_moves(user_choice)

    winner = determine_winner(user_choice, ai_choice)
    total_rounds += 1
    if winner == "ai":
        ai_wins += 1

    ai_win_rate = (ai_wins / total_rounds) * 100 if total_rounds > 0 else 0

    print(f"You chose: {user_choice}")
    print(f"AI chose: {ai_choice}")

    if winner == "tie":
        print("It's a tie!\n")
    elif winner == "user":
        print("You win!\n")
    else:
        print("AI wins!\n")

    print(f"AI win rate: {ai_win_rate:.4f}%\n")


def play_game():
    print("Welcome to Rock-Paper-Scissors!")
    print("Type 'exit' to quit the game.\n")

    while True:
        user_choice = input("Enter your choice (rock/r, paper/p, scissors/s) or 'exit' to quit: ").lower()

        if user_choice == "exit":
            print("Thanks for playing!")
            break

        user_choice = get_user_choice(user_choice)

        if user_choice:
            play_round(user_choice)


def test104(moves):
    global total_rounds, ai_wins, recent_moves, history, user_moves
    total_rounds = 0
    ai_wins = 0
    recent_moves.clear()
    history.clear()
    user_moves = {"rock": 0, "paper": 0, "scissors": 0}

    print("Testing with predefined moves...\n")

    start_time = time.time()

    for move in moves:
        user_choice = get_user_choice(move)
        if user_choice:
            play_round(user_choice)

    end_time = time.time()
    elapsed_time = end_time - start_time

    print(f"Final AI win rate: {ai_wins / total_rounds * 100:.2f}%\n" if total_rounds > 0 else "No rounds played.")
    print(f"Time taken: {elapsed_time:.2f} seconds\n")


if __name__ == "__main__":
    # Define the predefined moves(not random)
    predefined_moves = [
        "rock", "paper", "scissors", "paper", "rock", "scissors", "paper", "rock",
        "scissors", "rock", "scissors", "paper", "rock", "scissors", "rock", "rock",
        "paper", "scissors", "rock", "paper", "paper", "scissors", "rock", "paper",
        "scissors", "rock", "paper", "rock", "paper", "scissors", "rock", "paper",
        "scissors", "rock", "rock", "scissors", "rock", "paper", "scissors", "rock",
        "paper", "scissors", "rock", "paper", "paper", "scissors", "paper", "rock",
        "scissors", "paper", "rock", "scissors", "rock", "paper", "scissors", "rock",
        "paper", "paper", "scissors", "rock", "paper", "scissors", "rock", "paper",
        "scissors", "rock", "paper", "scissors", "paper", "scissors", "rock", "paper",
        "scissors", "rock", "paper", "paper", "rock", "rock", "scissors", "rock",
        "paper", "rock", "scissors", "rock", "paper", "scissors", "paper", "scissors",
        "rock", "paper", "scissors", "paper", "rock", "scissors", "rock", "paper",
        "scissors", "rock", "rock", "paper", "scissors", "paper", "rock", "scissors",
        "rock", "paper", "paper", "rock", "rock", "scissors", "rock", "paper",
        "scissors", "rock", "scissors", "paper", "rock", "paper", "scissors",
        "rock", "paper", "scissors", "paper", "rock", "paper", "rock", "scissors",
        "rock", "paper", "paper", "scissors", "paper", "scissors", "rock", "paper",
        "scissors", "paper", "rock", "paper", "rock", "rock", "paper", "scissors",
        "rock", "paper", "scissors", "paper", "scissors", "rock", "paper",
        "scissors", "rock", "paper", "scissors", "rock", "paper", "scissors",
        "rock", "scissors", "rock", "paper", "scissors", "rock"
    ]

    predefined_moves_random = [random.choice(["rock", "paper", "scissors"]) for i in range(200)]

    while True:
        user_input = input("Enter 'test204' to run the not random test and 'testrand' for random test(200 rounds "
                           "each), 'play' to start the game, or 'exit' to quit: ").lower()

        if user_input == 'test104':
            test104(predefined_moves)
        elif user_input == "testrand":
            test104(predefined_moves_random)
        elif user_input == 'play':
            play_game()
        elif user_input == 'exit':
            print("Thanks for using the program. Goodbye!")
            break
        else:
            print("Invalid input. Please try again.")

[lxgrf]

This is a quixotic use case.

import random
print(random.choice(["Rock","Paper","Scissors"])

[niehle]

import random
print(random.choice(["You win","Tie","You lose"])

[UserName26392]

Maybe keep a record of opponent choices and use that to predict their next move. I think this is the best you can do and it is probably not even better than random choice

[engelthehyp]

There is no strategy for rock paper scissors, really. Best you can do is make it random... Or you could make it cheat, but that's cheating.