Rust-implemented master mind game solver

Related tags

Game development master_mind_rust
Overview

master_mind_rust

A Rust-implemented solver for the master mind game.

You can play the master mind game online here → https://webgamesonline.com/mastermind/ .

Usage

A master mind solver implemented by Rust.

Usage: master_mind_rust [OPTIONS] [COLOR_NUM] [PIN_NUM]

Arguments:
  [COLOR_NUM]  number of colors [default: 6]
  [PIN_NUM]    number of pins [default: 4]

Options:
  -n, --non-duplicate    codes do not have duplicate colors
  -p, --policy <POLICY>  policy for choosing guess [default: minmax] [possible values: firstpick, minmax]
  -m, --mode <MODE>      mode of execution [default: guess] [possible values: guess, mktree, benchmark]
  -h, --help             Print help

Guess mode

In this mode, the solver attempts to find the user's secret code. The user must provide feedback for the solver's guesses. Feedback consists of a pair of the number of hits and blows.

  • hit: The number of pins that are correctly matched in both number(color) and position to the secret code.
  • blow: The number of pins that match the secret code in number(color) but are positioned differently.

Example: If secret code is [1, 2, 3, 4] and guess code is [0, 1, 2, 3], then the feedback: (hit, blow) is (0, 3).

Example: If secret code is [1, 2, 3, 4] and guess code is [0, 0, 3, 3], then the feedback: (hit, blow) is (1, 0).

Mktree mode

Generates trial paths for all possible secret codes. This mode is useful for evaluating the efficiency of policies. It is also used in benchmark mode.

Benchmark mode

Measures the time required to make trial paths for various configurations. It is usefull for profiling the performance of this solver.

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