use heredity::{FitnessEvaluator, Parameters, ThreadSim};
struct SumEvaluator {}
impl FitnessEvaluator for SumEvaluator {
fn evaluate(&self, code: &Vec<u8>) -> f64 {
return code.iter().map(|&b| b as f64).sum();
}
}
#[test]
pub fn test_full_loop() {
const MAX_IT_BEFORE_CONVERGE: usize = 10;
let params = Parameters::new(SumEvaluator {});
let expected_max_score = (params.genetic_code_length * (std::u8::MAX as usize)) as f64;
let sim = ThreadSim::start(params);
let res = sim.results();
let mut it_count = 0;
let mut last_score = -1.0;
loop {
match res.recv() {
Ok(result) => {
assert!(result.score >= last_score);
last_score = result.score;
if (result.score - expected_max_score).abs() <= (expected_max_score * 0.02) {
break;
}
}
Err(_e) => {
break;
}
}
it_count += 1;
if it_count > MAX_IT_BEFORE_CONVERGE {
panic!("Took too long.");
}
}
sim.stop().unwrap();
}