Struct OverlapStats 

pub struct OverlapStats {
    pub overlap: Vec<f64>,
    pub overlap2: Vec<f64>,
    pub overlap4: Vec<f64>,
    pub link_overlap: Vec<f64>,
    pub link_overlap2: Vec<f64>,
    pub link_overlap4: Vec<f64>,
    pub histogram: Vec<Vec<u64>>,
    pub ql_at_q_sum: Vec<Vec<f64>>,
    pub ql2_at_q_sum: Vec<Vec<f64>>,
    pub per_sample_histogram: Vec<Vec<Vec<u64>>>,
    pub per_sample_ql_at_q_sum: Vec<Vec<Vec<f64>>>,
    pub per_sample_ql2_at_q_sum: Vec<Vec<Vec<f64>>>,
}

Overlap statistics from replica-pair measurements.

All vectors are indexed by temperature. Empty when n_replicas < 2.

Fields

overlap: Vec<f64>

⟨q⟩ — mean replica overlap.

overlap2: Vec<f64>

⟨q²⟩.

overlap4: Vec<f64>

⟨q⁴⟩.

link_overlap: Vec<f64>

⟨q_l⟩ — mean link overlap.

link_overlap2: Vec<f64>

⟨q_l²⟩.

link_overlap4: Vec<f64>

⟨q_l⁴⟩.

histogram: Vec<Vec<u64>>

Overlap histogram P(q) per temperature: [n_temps][n_spins + 1]. Bins correspond to dot-product values −N, −N+2, …, N where idx = (dot + N) / 2.

ql_at_q_sum: Vec<Vec<f64>>

Conditional sum of q_l at each q bin: [n_temps][n_spins + 1]. Divide by histogram counts to get ⟨q_l | q⟩.

ql2_at_q_sum: Vec<Vec<f64>>

Conditional sum of q_l² at each q bin: [n_temps][n_spins + 1]. Use with ql_at_q_sum and histogram to compute A(q) = Var(q_l | q).

per_sample_histogram: Vec<Vec<Vec<u64>>>

Per-disorder-sample overlap histograms: [n_disorder][n_temps][n_spins + 1]. Only populated by aggregate(); empty for single-realization results.

per_sample_ql_at_q_sum: Vec<Vec<Vec<f64>>>

Per-disorder-sample conditional sums: [n_disorder][n_temps][n_spins + 1]. Only populated by aggregate(); empty for single-realization results.

per_sample_ql2_at_q_sum: Vec<Vec<Vec<f64>>>

Per-disorder-sample conditional sums of squares: [n_disorder][n_temps][n_spins + 1]. Only populated by aggregate(); empty for single-realization results.

Implementations

impl OverlapStats

pub fn empty() -> Self

pub fn aggregate(results: &[&Self]) -> Self