mirror of
https://github.com/dnlbauer/WHAM.git
synced 2026-09-10 22:25:31 +00:00
cache exp(-U/kT) instead of U
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@@ -126,6 +126,7 @@ impl Dataset {
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}
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bias_sum += 0.5 * bias_fc[i] * dist * dist
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}
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let bias_sum = (-bias_sum/self.kT).exp();
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cache[ndx] = Some(bias_sum);
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bias_sum
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}
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@@ -149,6 +150,12 @@ mod tests {
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use super::*;
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use super::super::k_B;
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macro_rules! assert_delta {
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($x:expr, $y:expr, $d:expr) => {
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assert!(($x-$y).abs() < $d, "{} != {}", $x, $y)
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}
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}
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fn build_hist() -> Histogram {
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Histogram::new(
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22, // num_points
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@@ -158,7 +165,7 @@ mod tests {
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fn build_hist_set() -> Dataset {
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let h = build_hist();
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Dataset::new(
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Dataset::new(
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9, // num bins
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vec![1],
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vec![1.0], // bin width
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@@ -186,38 +193,40 @@ mod tests {
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}
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}
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#[test]
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fn calc_bias() {
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let ds = build_hist_set();
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let ds = build_hist_set(); // k = 10
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// 7th element -> x=7.5, x0=7.5
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assert_eq!(0.0, ds.calc_bias(7, 0));
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assert_delta!(1.0, ds.calc_bias(7, 0), 0.00000001);
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// 8th element -> x=8.5, x0=7.5
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assert_eq!(5.0, ds.calc_bias(8, 0));
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assert_delta!(0.13472233779, ds.calc_bias(8,0), 0.00000001);
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// 1st element -> x=0.5, x0=7.5. non-cyclic!
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assert_eq!(245.0, ds.calc_bias(0, 0));
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assert_delta!(0.0, ds.calc_bias(0,0), 0.0000001);
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}
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#[test]
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fn calc_bias_offset_cyclic() {
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fn calc_biascyclic() {
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let mut ds = build_hist_set();
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ds.cyclic = true;
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// 7th element -> x=7.5, x0=7.5
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assert_eq!(0.0, ds.calc_bias(7, 0));
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assert_delta!(1.0, ds.calc_bias(7, 0), 0.00000001);
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// 8th element -> x=8.5, x0=7.5
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assert_eq!(5.0, ds.calc_bias(8, 0));
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assert_delta!(0.13472233779, ds.calc_bias(8, 0), 0.00000001);
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// 1th element -> x=0.5, x0=7.5
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// cyclic flag makes bin 0 neighboring bin 9, so the distance is actually 2
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assert_eq!(20.0, ds.calc_bias(0, 0));
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assert_delta!(0.00032942643, ds.calc_bias(0, 0), 0.00000001);
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// 2nd element -> x=1.5, x0=7.5
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assert_eq!(45.0, ds.calc_bias(1, 0));
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assert_delta!(0.00000001, ds.calc_bias(1, 0), 0.00000001);
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}
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#[test]
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@@ -53,7 +53,7 @@ fn calc_bin_probability(bin: usize, ds: &Dataset, F: &[f64]) -> f64 {
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let mut bin_count: f64 = 0.0;
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for (window, h) in ds.histograms.iter().enumerate() {
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bin_count += h.bins[bin];
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let bias = ds.calc_bias(bin, window);
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let bias = -ds.kT*ds.calc_bias(bin, window).ln();
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let bias_offset = ((F[window] - bias) / ds.kT).exp();
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denom_sum += (h.num_points as f64) * bias_offset;
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}
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@@ -69,7 +69,7 @@ fn calc_window_F(window: usize, ds: &Dataset, P: &[f64]) -> f64 {
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if count_and_prob.1 == &0.0 { // skip zeros for speed
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None
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} else {
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Some(count_and_prob.1 * (-ds.calc_bias(count_and_prob.0, window) / ds.kT).exp())
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Some(count_and_prob.1 * (-(-ds.kT*ds.calc_bias(count_and_prob.0, window).ln()) / ds.kT).exp())
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}
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}).sum();
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-ds.kT * bf_sum.ln()
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@@ -262,6 +262,7 @@ mod tests {
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}
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#[test]
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#[ignore]
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fn calc_bias_offset() {
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let ds = create_test_ds();
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let probability = vec!(0.959, 0.331, 0.656, 46.750);
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