rock-paper-scissors-py 0.1.4

Multi-player and multi-action Rock, Paper, Scissors game client

rock-paper-scissors-py

Multi-player and multi-action Rock, Paper, Scissors game client.

Installation

To install, run the following commands:

pip install rock-paper-scissors-py

# or

[e-mail]:jwc20/rock-paper-scissors-py.git
cd rock-paper-scissors-py

To use the engine, first setup and activate a python virtual environment (venv)

python3 -m venv .venv
. ./.venv/bin/activate

Install from requirements.txt

pip3 install -r requirements.txt

Usage:

In your Python file, to import, type

import rps

Set the number of actions allowed in the game (beats logic will be generated based on the number of actions)

action_three = 3  # rock, paper, scissors

# => BEATS = {
#        0: [2],  # Rock beats Scissors
#        1: [0],  # Paper beats Rock
#        2: [1],  # Scissors beats Paper
#    }


action_five = 5      # rock, paper, scissors, Spock, lizard

# => BEATS = {
#        0: [2, 3],  # Rock crushes Scissors & Lizard
#        1: [0, 4],  # Paper covers Rock & disproves Spock
#        2: [1, 3],  # Scissors cuts Paper & decapitates Lizard
#        3: [1, 4],  # Lizard eats Paper & poisons Spock
#        4: [0, 2],  # Spock vaporizes Rock & smashes Scissors
#    }

Set the players with either fixed or random actions

player_jae = rps.FixedActionPlayer("Jae", 0) # always plays Rock, like an idiot

# bunch of random players with random actions
random_player_names = [f"random{i}" for i in range(20)]
random_players = [rps.RandomActionPlayer(name) for name in random_player_names]

Set the game and play

game = rps.Game(random_players, action_three)

game.play()

Example

Run the example.py in the root directory

python example.py

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Note

Game consists of m players and n actions where m >= 2 and n >= 3 and n is an odd number.

Actions are hand gestures played by the players (rock, paper, scissors).

If the number of actions set in the game is between 5 and 15, the game uses the rules made by Sam Kass and David C. Lovelace.

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See also:

• https://www.umop.com/rps.htm

• https://www.samkass.com/theories/RPSSL.html