EEEE2065-cw2

A number guessing game.

The Rust implementation of the library can be found here.

Building

Requirements

Cmake Cmake is used to compile the program. You can download cmake here.

Compiling

git clone https://github.com/ecyht2/EEEE2065-cw2.git
cd EEEE2065-cw2/
cmake . && cmake --build .

Usage

After compilation a directory bin/ should be created in the repository. To run it, run the command with the word to print. The program will guide you on what to do.

bin/number-guessing-game

Benchmarking for AI

This repository also provides a benchmark for the AI. It gets average number times it took the AI to guess a number from 1 to N and calculates the standard deviation. Then, it outputs the data into a csv for further processing.

bin/ai-benchmark

The ai-benchmark takes in some arguments. It has the usage signature of:

ai-benchmark min max step iteration

However these are optional and defaults to certain values.

Name	Description	Default
min	The minimum N to use.	100
max	The maximum N to use.	5000
step	How much should the program increase the N by after each iteration until it reaches max.	100
iteration	How many samples should the benchmark take for a given N.	500

Documentation

Documentation of the coursework can be found in the project GitHub pages.