RosettaCodeData/Task/Monte-Carlo-methods/Rust/monte-carlo-methods.rust

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extern crate rand;
use rand::Rng;
use std::f64::consts::PI;
// `(f32, f32)` would be faster for some RNGs (including `rand::thread_rng` on 32-bit platforms
// and `rand::weak_rng` as of rand v0.4) as `next_u64` combines two `next_u32`s if not natively
// supported by the RNG. It would less accurate however.
fn is_inside_circle((x, y): (f64, f64)) -> bool {
x * x + y * y <= 1.0
}
fn simulate<R: Rng>(rng: &mut R, samples: usize) -> f64 {
let mut count = 0;
for _ in 0..samples {
if is_inside_circle(rng.gen()) {
count += 1;
}
}
(count as f64) / (samples as f64)
}
fn main() {
let mut rng = rand::weak_rng();
println!("Real pi: {}", PI);
for samples in (3..9).map(|e| 10_usize.pow(e)) {
let estimate = 4.0 * simulate(&mut rng, samples);
let deviation = 100.0 * (1.0 - estimate / PI).abs();
println!("{:9}: {:<11} dev: {:.5}%", samples, estimate, deviation);
}
}