# 2048-rust A 2048 implementation that uses bit-shifting and a pre-computed move table this implementation is designed to provide low overhead when testing an algorithm on a large amount of games. On a mid-2015 MBP Retina (2.5GHz i7) 10,000,000 games take about 80 seconds to complete running on 8 threads (1,250,000 games per thread) by executing random moves, avg score ~2k. The board itself is encoded as a u64. This means that each tile has 4 bits (64 / 16 = 4) to store its value. Since the maximum value of setting all four bits to 1 is 15 we cannot use it to display the value directly. Instead we use these 4 bits as the power value: `2 << 15 = 65536`, `2 << 14 = 32768`, `2 << 13 = 16384`, `2 << 12 = 8192`, etc... ## Installation Add the following to your `Cargo.toml` file: ```toml [dependencies] tfe = "0.1" ``` ## Usage A simple way to play the game automatically is to use the `tfe::Game::play` method: ```rust extern crate tfe; use tfe::{Game, Direction}; // Direction enum contains the following valid moves: // - Direction::Left // - Direction::Right // - Direction::Down // - Direction::Up let game = Game::play(|board, failed| Direction::sample_without(failed)); println!("score: {:<6} board hex: {:016x}", Game::score(game.board), game.board); ``` The play method takes a closure that accepts a `board: u64` and `failed: &Vec` as parameters and returns the next `Direction` to move in. The game will terminate if each distinct move has been attempted and failed without any successfull move in between. ## Documentation The documentation for this crate can be found [here on docs.rs](https://docs.rs/tfe). ## References I certainly did not invent this implementation, large parts are taken from @nneonneo's implementation in c++. Honorable mentions to good references: - https://github.com/nneonneo/2048-ai/blob/master/2048.h - https://github.com/nneonneo/2048-ai/blob/master/2048.cpp - https://stackoverflow.com/questions/22342854/what-is-the-optimal-algorithm-for-the-game-2048