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calculate autocorrelation stats_ineff and tau

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Daniel Bauer
2020-10-25 18:38:25 +01:00
parent 38c30baa5b
commit 3d93693eac
3 changed files with 82 additions and 3 deletions
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9
src/error_analysis.rs
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@@ -66,11 +66,12 @@ pub fn run_bootstrap(cfg: &Config, ds: Dataset, num_runs: usize) -> (Vec<f64>,Ve
(P_se, A_se)
}
#[cfg(tests)]
#[cfg(test)]
mod tests {
use super::*;
use super::super::k_B;
use super::super::histogram::Histogram;
use rand::prelude::*;
fn build_hist() -> Histogram {
Histogram::new(
@@ -99,8 +100,9 @@ mod tests {
#[test]
fn random_weights() {
let mut rng = StdRng::from_entropy();
let num_windows = 5;
let weights = generate_random_weights(num_windows);
let weights = generate_random_weights(num_windows, &mut rng);
assert_eq!(num_windows, weights.len());
for w in weights {
assert!(0.0 < w && w < 1.0);
@@ -109,8 +111,9 @@ mod tests {
#[test]
fn random_weighted_dataset() {
let mut rng = StdRng::from_entropy();
let ds = build_hist_set();
let rnd_weights_ds = generate_random_weighted_dataset(ds);
let rnd_weights_ds = generate_random_weighted_dataset(ds, &mut rng);
println!("{:?}", rnd_weights_ds.weights);
for w in rnd_weights_ds.weights {
assert!(w > 0.0);