solverforge-solver 0.11.1

/* Nearby list swap move selector for distance-pruned element exchange.

A distance-biased variant of [`ListSwapMoveSelector`] that only considers
swap partners within a configurable distance of the source element.
Reduces the move space from O(n²m²) to O(nm × k).

# Example

```
use solverforge_solver::heuristic::selector::nearby_list_swap::NearbyListSwapMoveSelector;
use solverforge_solver::heuristic::selector::nearby_list_change::CrossEntityDistanceMeter;
use solverforge_solver::heuristic::selector::entity::FromSolutionEntitySelector;
use solverforge_solver::heuristic::selector::MoveSelector;
use solverforge_core::domain::PlanningSolution;
use solverforge_core::score::SoftScore;

#[derive(Clone, Debug)]
struct Visit { x: f64, y: f64 }

#[derive(Clone, Debug)]
struct Vehicle { visits: Vec<Visit> }

#[derive(Clone, Debug)]
struct Solution { vehicles: Vec<Vehicle>, score: Option<SoftScore> }

impl PlanningSolution for Solution {
type Score = SoftScore;
fn score(&self) -> Option<Self::Score> { self.score }
fn set_score(&mut self, score: Option<Self::Score>) { self.score = score; }
}

fn list_len(s: &Solution, e: usize) -> usize {
s.vehicles.get(e).map_or(0, |v| v.visits.len())
}
fn list_get(s: &Solution, e: usize, pos: usize) -> Option<Visit> {
s.vehicles.get(e).and_then(|v| v.visits.get(pos).cloned())
}
fn list_set(s: &mut Solution, e: usize, pos: usize, val: Visit) {
if let Some(v) = s.vehicles.get_mut(e) {
if let Some(elem) = v.visits.get_mut(pos) { *elem = val; }
}
}

#[derive(Debug)]
struct EuclideanMeter;

impl CrossEntityDistanceMeter<Solution> for EuclideanMeter {
fn distance(
&self,
solution: &Solution,
src_entity: usize, src_pos: usize,
dst_entity: usize, dst_pos: usize,
) -> f64 {
let src = &solution.vehicles[src_entity].visits[src_pos];
let dst = &solution.vehicles[dst_entity].visits[dst_pos];
let dx = src.x - dst.x;
let dy = src.y - dst.y;
(dx * dx + dy * dy).sqrt()
}
}

let selector = NearbyListSwapMoveSelector::<Solution, Visit, _, _>::new(
FromSolutionEntitySelector::new(0),
EuclideanMeter,
10,
list_len,
list_get,
list_set,
"visits",
0,
);
```
*/

use std::fmt::Debug;
use std::marker::PhantomData;

use solverforge_core::domain::PlanningSolution;
use solverforge_scoring::Director;

use crate::heuristic::r#move::ListSwapMove;

use super::entity::EntitySelector;
use super::list_support::collect_selected_entities;
use super::move_selector::{ArenaMoveCursor, MoveSelector};
use super::nearby_list_change::CrossEntityDistanceMeter;
use super::nearby_list_support::{sort_and_limit_nearby_candidates, NearbyCandidate};

/// A distance-pruned list swap move selector.
///
/// For each source (entity, position), generates swap moves only to the
/// `max_nearby` nearest positions (measured by `CrossEntityDistanceMeter`).
///
/// # Type Parameters
/// * `S` - The solution type
/// * `V` - The list element type
/// * `D` - The cross-entity distance meter type
/// * `ES` - The entity selector type
pub struct NearbyListSwapMoveSelector<S, V, D, ES> {
    entity_selector: ES,
    distance_meter: D,
    max_nearby: usize,
    list_len: fn(&S, usize) -> usize,
    list_get: fn(&S, usize, usize) -> Option<V>,
    list_set: fn(&mut S, usize, usize, V),
    variable_name: &'static str,
    descriptor_index: usize,
    _phantom: PhantomData<(fn() -> S, fn() -> V)>,
}

impl<S, V: Debug, D, ES: Debug> Debug for NearbyListSwapMoveSelector<S, V, D, ES> {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        f.debug_struct("NearbyListSwapMoveSelector")
            .field("entity_selector", &self.entity_selector)
            .field("distance_meter", &"<distance_meter>")
            .field("max_nearby", &self.max_nearby)
            .field("variable_name", &self.variable_name)
            .field("descriptor_index", &self.descriptor_index)
            .finish()
    }
}

impl<S, V, D, ES> NearbyListSwapMoveSelector<S, V, D, ES> {
    /* Creates a new nearby list swap move selector.

    # Arguments
    * `entity_selector` - Selects entities to consider for swaps
    * `distance_meter` - Measures distance between position pairs
    * `max_nearby` - Maximum partner positions to consider per source
    * `list_len` - Function to get list length
    * `list_get` - Function to get element at position
    * `list_set` - Function to set element at position
    * `variable_name` - Name of the list variable
    * `descriptor_index` - Entity descriptor index
    */
    #[allow(clippy::too_many_arguments)]
    pub fn new(
        entity_selector: ES,
        distance_meter: D,
        max_nearby: usize,
        list_len: fn(&S, usize) -> usize,
        list_get: fn(&S, usize, usize) -> Option<V>,
        list_set: fn(&mut S, usize, usize, V),
        variable_name: &'static str,
        descriptor_index: usize,
    ) -> Self {
        Self {
            entity_selector,
            distance_meter,
            max_nearby,
            list_len,
            list_get,
            list_set,
            variable_name,
            descriptor_index,
            _phantom: PhantomData,
        }
    }
}

impl<S, V, D, ES> MoveSelector<S, ListSwapMove<S, V>> for NearbyListSwapMoveSelector<S, V, D, ES>
where
    S: PlanningSolution,
    V: Clone + PartialEq + Send + Sync + Debug + 'static,
    D: CrossEntityDistanceMeter<S>,
    ES: EntitySelector<S>,
{
    type Cursor<'a>
        = ArenaMoveCursor<S, ListSwapMove<S, V>>
    where
        Self: 'a;

    fn open_cursor<'a, SD: Director<S>>(&'a self, score_director: &SD) -> Self::Cursor<'a> {
        let list_len = self.list_len;
        let list_get = self.list_get;
        let list_set = self.list_set;
        let variable_name = self.variable_name;
        let descriptor_index = self.descriptor_index;
        let max_nearby = self.max_nearby;
        let solution = score_director.working_solution();

        let selected = collect_selected_entities(&self.entity_selector, score_director, list_len);
        let entities = selected.entities;
        let route_lens = selected.route_lens;

        let mut moves = Vec::new();
        let mut candidates: Vec<NearbyCandidate> = Vec::new();

        for (src_idx, &src_entity) in entities.iter().enumerate() {
            let src_len = route_lens[src_idx];
            if src_len == 0 {
                continue;
            }

            for src_pos in 0..src_len {
                candidates.clear();

                // Intra-entity candidates: positions after src_pos (triangular)
                for dst_pos in src_pos + 1..src_len {
                    let dist = self
                        .distance_meter
                        .distance(solution, src_entity, src_pos, src_entity, dst_pos);
                    if dist.is_finite() {
                        candidates.push((src_entity, dst_pos, dist));
                    }
                }

                // Inter-entity candidates (only entities with index > src_idx to avoid dupes)
                for (dst_idx, &dst_entity) in entities.iter().enumerate() {
                    if dst_idx <= src_idx {
                        continue;
                    }
                    let dst_len = route_lens[dst_idx];
                    if dst_len == 0 {
                        continue;
                    }

                    for dst_pos in 0..dst_len {
                        let dist = self
                            .distance_meter
                            .distance(solution, src_entity, src_pos, dst_entity, dst_pos);
                        if dist.is_finite() {
                            candidates.push((dst_entity, dst_pos, dist));
                        }
                    }
                }

                sort_and_limit_nearby_candidates(&mut candidates, max_nearby);

                for &(dst_entity, dst_pos, _) in &candidates {
                    moves.push(ListSwapMove::new(
                        src_entity,
                        src_pos,
                        dst_entity,
                        dst_pos,
                        list_len,
                        list_get,
                        list_set,
                        variable_name,
                        descriptor_index,
                    ));
                }
            }
        }

        ArenaMoveCursor::from_moves(moves)
    }

    fn size<SD: Director<S>>(&self, score_director: &SD) -> usize {
        let selected =
            collect_selected_entities(&self.entity_selector, score_director, self.list_len);

        // Each element generates at most max_nearby canonical swap partners.
        selected.total_elements() * self.max_nearby / 2
    }
}