readme, optimizations

This commit is contained in:
randogoth 2025-01-17 22:08:46 +02:00
parent f21804ffaf
commit b4c2e5ea9b
5 changed files with 215 additions and 22 deletions

View file

@ -1,95 +0,0 @@
use std::fs::File;
use std::io::{self, Read};
use std::path::Path;
use onod3000::Onod;
fn main() -> io::Result<()> {
let mut args = std::env::args();
args.next(); // Skip program name
let mut input_data = Vec::new();
let mut source = String::from("stdin");
if let Some(arg) = args.next() {
if arg == "-f" {
if let Some(file_path) = args.next() {
source = file_path.clone();
let path = Path::new(&file_path);
let mut file = File::open(path)?;
file.read_to_end(&mut input_data)?;
} else {
eprintln!("Error: No file path provided after -f.");
std::process::exit(1);
}
} else {
eprintln!("Usage: {} [-f <file_path>]", std::env::args().next().unwrap());
std::process::exit(1);
}
} else {
io::stdin().read_to_end(&mut input_data)?;
}
if input_data.is_empty() {
eprintln!("Error: No input data provided.");
std::process::exit(1);
}
println!("\nTesting {} bytes from {}.", input_data.len(), source);
println!("--------------------------------------------------------");
println!("Randomness Test Value Z-Score P-Value Pass");
println!("--------------------------------------------------------");
let mut passed_tests = 0;
let alpha = 0.01;
// Create vectors to store results
let (mut observations, mut z_scores, mut p_values) = (Vec::new(), Vec::new(), Vec::new());
// Run each test with the appropriate handling
let tests = [
("Shannon", Onod::shannon(&input_data)),
("Monobit", Onod::monobit(&input_data)),
("ChiBit", Onod::chi_bit(&input_data)),
("ChiByte", Onod::chi_byte(&input_data)),
("MeanByte", Onod::mean_byte(&input_data)),
("Compression", Onod::compression(&input_data)),
("Kolm.-Smirnov", Onod::ks(&input_data)),
("Pi", Onod::pi(&input_data)),
("Shells", Onod::shells(&input_data)),
("Gaps", Onod::gaps(&input_data)),
("Avalanche", Onod::avalanche(&input_data)),
("Runs", Onod::runs(&input_data)),
("RunUps", Onod::run_ups(&input_data)),
("Prediction", Onod::prediction(&input_data)),
("UnCorrelation", Onod::uncorrelation(&input_data)),
];
for (test_name, (observation, z_score, p_value)) in &tests {
let result = if *p_value >= alpha && *observation != -1.0 {
passed_tests += 1;
"✅"
} else {
if *observation == -1.0 {
"SKIP"
} else {
"❌"
}
};
println!(
"{:<15} {:>15.3} {:>8.4} {:>7.4} {:>2}",
test_name, observation, z_score, p_value, result
);
observations.push(*observation);
z_scores.push(*z_score);
p_values.push(*p_value);
}
println!("--------------------------------------------------------");
println!("{}/{} tests passed.", passed_tests, tests.len());
println!("--------------------------------------------------------");
Ok(())
}