solverforge-solver 0.13.0

/* Nearby list change move selector for distance-pruned element relocation.

A distance-biased variant of [`ListChangeMoveSelector`] that dramatically
reduces the move space by only considering destination positions that are
close to the source element. This is critical for VRP scalability: without
nearby selection, the move space is O(n²m²) which becomes impractical for
large instances.

# How It Works

For each source (entity, position), instead of generating moves to every
possible (dest_entity, dest_pos), only the `max_nearby` closest destination
positions are considered. Closeness is measured by a user-supplied
[`CrossEntityDistanceMeter`].

# Complexity

O(nm × k) per step where:
- n = number of entities
- m = average route length
- k = `max_nearby` (typically 10–20)

Compare to O(n²m²) for the full [`ListChangeMoveSelector`].

# Example

```
use solverforge_solver::heuristic::selector::nearby_list_change::{
CrossEntityDistanceMeter, NearbyListChangeMoveSelector,
};
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_remove(s: &mut Solution, e: usize, pos: usize) -> Option<Visit> {
s.vehicles.get_mut(e).map(|v| v.visits.remove(pos))
}
fn list_insert(s: &mut Solution, e: usize, pos: usize, val: Visit) {
if let Some(v) = s.vehicles.get_mut(e) { v.visits.insert(pos, val); }
}

// Euclidean distance between visit elements across routes
#[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 = NearbyListChangeMoveSelector::<Solution, Visit, _, _>::new(
FromSolutionEntitySelector::new(0),
EuclideanMeter,
10,   // max_nearby: consider 10 closest destinations
list_len,
list_remove,
list_insert,
"visits",
0,
);
```
*/

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

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

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

use super::entity::EntitySelector;
use super::list_support::{collect_selected_entities, ordered_index};
use super::move_selector::{
    CandidateId, CandidateStore, MoveCandidateRef, MoveCursor, MoveSelector, MoveStreamContext,
};
use super::nearby_list_support::{sort_and_limit_nearby_candidates, NearbyCandidate};

/// Measures distance between two list positions, potentially across different entities.
///
/// Used by [`NearbyListChangeMoveSelector`] to rank candidate destination positions
/// by proximity to the source element being relocated.
///
/// # Notes
///
/// - Implementing this for VRP: use the Euclidean (or road-network) distance between
///   the visit at `(src_entity, src_pos)` and the visit at `(dst_entity, dst_pos)`.
/// - The distance can be asymmetric (e.g., directed graphs).
/// - Returning `f64::INFINITY` for a pair excludes it from nearby candidates.
pub trait CrossEntityDistanceMeter<S>: Send + Sync {
    // Returns the distance from the element at `(src_entity, src_pos)` to the element
    // at `(dst_entity, dst_pos)` in the current solution.
    fn distance(
        &self,
        solution: &S,
        src_entity: usize,
        src_pos: usize,
        dst_entity: usize,
        dst_pos: usize,
    ) -> f64;
}

/* Default distance meter: uses absolute position difference within the same entity,
and returns `f64::INFINITY` for cross-entity distances (no pruning across routes).

Useful for intra-route moves only.
*/
#[derive(Debug, Clone, Copy)]
pub struct DefaultCrossEntityDistanceMeter;

impl Default for DefaultCrossEntityDistanceMeter {
    fn default() -> Self {
        Self
    }
}

impl<S> CrossEntityDistanceMeter<S> for DefaultCrossEntityDistanceMeter {
    fn distance(
        &self,
        _solution: &S,
        src_entity: usize,
        src_pos: usize,
        dst_entity: usize,
        dst_pos: usize,
    ) -> f64 {
        if src_entity == dst_entity {
            (src_pos as f64 - dst_pos as f64).abs()
        } else {
            f64::INFINITY
        }
    }
}

/// A distance-pruned list change move selector.
///
/// For each source (entity, position), generates moves only to the `max_nearby`
/// nearest destination positions (measured by `CrossEntityDistanceMeter`).
/// This reduces move space from O(n²m²) to O(nm × k).
///
/// # Type Parameters
/// * `S` - The solution type
/// * `V` - The list element type
/// * `D` - The distance meter type
/// * `ES` - The entity selector type
pub struct NearbyListChangeMoveSelector<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_remove: fn(&mut S, usize, usize) -> Option<V>,
    list_insert: fn(&mut S, usize, usize, V),
    variable_name: &'static str,
    descriptor_index: usize,
    _phantom: PhantomData<(fn() -> S, fn() -> V)>,
}

struct NearbyListChangeSource {
    src_entity: usize,
    src_pos: usize,
    destinations: Vec<(usize, usize)>,
}

pub struct NearbyListChangeMoveCursor<S, V>
where
    S: PlanningSolution,
    V: Clone + PartialEq + Send + Sync + Debug + 'static,
{
    store: CandidateStore<S, ListChangeMove<S, V>>,
    sources: Vec<NearbyListChangeSource>,
    source_offset: usize,
    destination_offset: usize,
    list_len: fn(&S, usize) -> usize,
    list_get: fn(&S, usize, usize) -> Option<V>,
    list_remove: fn(&mut S, usize, usize) -> Option<V>,
    list_insert: fn(&mut S, usize, usize, V),
    variable_name: &'static str,
    descriptor_index: usize,
}

impl<S, V> NearbyListChangeMoveCursor<S, V>
where
    S: PlanningSolution,
    V: Clone + PartialEq + Send + Sync + Debug + 'static,
{
    #[allow(clippy::too_many_arguments)]
    fn new(
        sources: Vec<NearbyListChangeSource>,
        list_len: fn(&S, usize) -> usize,
        list_get: fn(&S, usize, usize) -> Option<V>,
        list_remove: fn(&mut S, usize, usize) -> Option<V>,
        list_insert: fn(&mut S, usize, usize, V),
        variable_name: &'static str,
        descriptor_index: usize,
    ) -> Self {
        Self {
            store: CandidateStore::new(),
            sources,
            source_offset: 0,
            destination_offset: 0,
            list_len,
            list_get,
            list_remove,
            list_insert,
            variable_name,
            descriptor_index,
        }
    }
}

impl<S, V> MoveCursor<S, ListChangeMove<S, V>> for NearbyListChangeMoveCursor<S, V>
where
    S: PlanningSolution,
    V: Clone + PartialEq + Send + Sync + Debug + 'static,
{
    fn next_candidate(&mut self) -> Option<CandidateId> {
        loop {
            let source = self.sources.get(self.source_offset)?;
            if self.destination_offset >= source.destinations.len() {
                self.source_offset += 1;
                self.destination_offset = 0;
                continue;
            }
            let (dst_entity, dst_pos) = source.destinations[self.destination_offset];
            self.destination_offset += 1;
            return Some(self.store.push(ListChangeMove::new(
                source.src_entity,
                source.src_pos,
                dst_entity,
                dst_pos,
                self.list_len,
                self.list_get,
                self.list_remove,
                self.list_insert,
                self.variable_name,
                self.descriptor_index,
            )));
        }
    }

    fn candidate(&self, id: CandidateId) -> Option<MoveCandidateRef<'_, S, ListChangeMove<S, V>>> {
        self.store.candidate(id)
    }

    fn take_candidate(&mut self, id: CandidateId) -> ListChangeMove<S, V> {
        self.store.take_candidate(id)
    }
}

impl<S, V> Iterator for NearbyListChangeMoveCursor<S, V>
where
    S: PlanningSolution,
    V: Clone + PartialEq + Send + Sync + Debug + 'static,
{
    type Item = ListChangeMove<S, V>;

    fn next(&mut self) -> Option<Self::Item> {
        let id = self.next_candidate()?;
        Some(self.take_candidate(id))
    }
}

impl<S, V: Debug, D, ES: Debug> Debug for NearbyListChangeMoveSelector<S, V, D, ES> {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        f.debug_struct("NearbyListChangeMoveSelector")
            .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> NearbyListChangeMoveSelector<S, V, D, ES> {
    /* Creates a new nearby list change move selector.

    # Arguments
    * `entity_selector` - Selects entities to consider for moves
    * `distance_meter` - Measures distance between position pairs
    * `max_nearby` - Maximum destination positions to consider per source
    * `list_len` - Function to get list length for an entity
    * `list_remove` - Function to remove element at position
    * `list_insert` - Function to insert 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_remove: fn(&mut S, usize, usize) -> Option<V>,
        list_insert: 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_remove,
            list_insert,
            variable_name,
            descriptor_index,
            _phantom: PhantomData,
        }
    }
}

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

    fn open_cursor<'a, SD: Director<S>>(&'a self, score_director: &SD) -> Self::Cursor<'a> {
        self.open_cursor_with_context(score_director, MoveStreamContext::default())
    }

    fn open_cursor_with_context<'a, SD: Director<S>>(
        &'a self,
        score_director: &SD,
        context: MoveStreamContext,
    ) -> Self::Cursor<'a> {
        let max_nearby = self.max_nearby;
        let solution = score_director.working_solution();

        let mut selected =
            collect_selected_entities(&self.entity_selector, score_director, self.list_len);
        selected.apply_stream_order(
            context,
            0xA1EA_2B17_C4A4_0001 ^ self.descriptor_index as u64,
        );
        let entities = selected.entities;
        let route_lens = selected.route_lens;

        let mut sources = 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_offset in 0..src_len {
                let src_pos = ordered_index(
                    src_pos_offset,
                    src_len,
                    context,
                    0xA1EA_2B17_C4A4_0002 ^ src_entity as u64 ^ self.descriptor_index as u64,
                );
                candidates.clear();

                // Intra-entity candidates
                for dst_pos in 0..src_len {
                    if dst_pos == src_pos || dst_pos == src_pos + 1 {
                        continue; // Skip no-ops
                    }
                    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: insert at any position in other entities
                for (dst_idx, &dst_entity) in entities.iter().enumerate() {
                    if dst_idx == src_idx {
                        continue;
                    }
                    let dst_len = route_lens[dst_idx];
                    // Can insert at positions 0..=dst_len
                    for dst_pos in 0..=dst_len {
                        // For the last position, use the distance to the last element
                        let ref_pos = dst_pos.min(dst_len.saturating_sub(1));
                        let dist = self
                            .distance_meter
                            .distance(solution, src_entity, src_pos, dst_entity, ref_pos);
                        if dist.is_finite() {
                            candidates.push((dst_entity, dst_pos, dist));
                        }
                    }
                }

                sort_and_limit_nearby_candidates(&mut candidates, max_nearby);

                sources.push(NearbyListChangeSource {
                    src_entity,
                    src_pos,
                    destinations: candidates
                        .iter()
                        .map(|&(dst_entity, dst_pos, _)| (dst_entity, dst_pos))
                        .collect(),
                });
            }
        }

        NearbyListChangeMoveCursor::new(
            sources,
            self.list_len,
            self.list_get,
            self.list_remove,
            self.list_insert,
            self.variable_name,
            self.descriptor_index,
        )
    }

    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 moves
        selected.total_elements() * self.max_nearby
    }
}