solverforge-scoring 0.8.0

/* Zero-erasure quad-constraint stream for four-entity constraint patterns.

A `QuadConstraintStream` operates on quadruples of entities and supports
filtering, weighting, and constraint finalization. All type information
is preserved at compile time - no Arc, no dyn.

# Example

```
use solverforge_scoring::stream::ConstraintFactory;
use solverforge_scoring::stream::joiner::equal;
use solverforge_scoring::api::constraint_set::IncrementalConstraint;
use solverforge_core::score::SoftScore;

#[derive(Clone, Debug, Hash, PartialEq, Eq)]
struct Task { team: u32 }

#[derive(Clone)]
struct Solution { tasks: Vec<Task> }

// Penalize when four tasks are on the same team
let constraint = ConstraintFactory::<Solution, SoftScore>::new()
.for_each(|s: &Solution| s.tasks.as_slice())
.join(equal(|t: &Task| t.team))
.join(equal(|t: &Task| t.team))
.join(equal(|t: &Task| t.team))
.penalize(SoftScore::of(1))
.named("Team clustering");

let solution = Solution {
tasks: vec![
Task { team: 1 },
Task { team: 1 },
Task { team: 1 },
Task { team: 1 },
Task { team: 2 },
],
};

// One quadruple on team 1: (0, 1, 2, 3) = -1 penalty
assert_eq!(constraint.evaluate(&solution), SoftScore::of(-1));
```
*/

use std::hash::Hash;

use solverforge_core::score::Score;

use crate::constraint::IncrementalQuadConstraint;

use super::collection_extract::CollectionExtract;
use super::filter::{FnPentaFilter, PentaFilter, QuadFilter};
use super::joiner::Joiner;
use super::penta_stream::PentaConstraintStream;

super::arity_stream_macros::impl_arity_stream!(
    quad,
    QuadConstraintStream,
    QuadConstraintBuilder,
    IncrementalQuadConstraint
);

// join method - transitions to PentaConstraintStream
impl<S, A, K, E, KE, F, Sc> QuadConstraintStream<S, A, K, E, KE, F, Sc>
where
    S: Send + Sync + 'static,
    A: Clone + Hash + PartialEq + Send + Sync + 'static,
    K: Eq + Hash + Clone + Send + Sync,
    E: CollectionExtract<S, Item = A>,
    KE: Fn(&S, &A, usize) -> K + Send + Sync,
    F: QuadFilter<S, A, A, A, A>,
    Sc: Score + 'static,
{
    /* Joins this stream with a fifth element to create quintuples.

    # Example

    ```
    use solverforge_scoring::stream::ConstraintFactory;
    use solverforge_scoring::stream::joiner::equal;
    use solverforge_scoring::api::constraint_set::IncrementalConstraint;
    use solverforge_core::score::SoftScore;

    #[derive(Clone, Debug, Hash, PartialEq, Eq)]
    struct Task { team: u32 }

    #[derive(Clone)]
    struct Solution { tasks: Vec<Task> }

    // Penalize when five tasks are on the same team
    let constraint = ConstraintFactory::<Solution, SoftScore>::new()
    .for_each(|s: &Solution| s.tasks.as_slice())
    .join(equal(|t: &Task| t.team))
    .join(equal(|t: &Task| t.team))
    .join(equal(|t: &Task| t.team))
    .join(equal(|t: &Task| t.team))
    .penalize(SoftScore::of(1))
    .named("Team clustering");

    let solution = Solution {
    tasks: vec![
    Task { team: 1 },
    Task { team: 1 },
    Task { team: 1 },
    Task { team: 1 },
    Task { team: 1 },
    Task { team: 2 },
    ],
    };

    // One quintuple on team 1: (0, 1, 2, 3, 4) = -1 penalty
    assert_eq!(constraint.evaluate(&solution), SoftScore::of(-1));
    ```
    */
    pub fn join<J>(
        self,
        joiner: J,
    ) -> PentaConstraintStream<S, A, K, E, KE, impl PentaFilter<S, A, A, A, A, A>, Sc>
    where
        J: Joiner<A, A> + 'static,
        F: 'static,
    {
        let filter = self.filter;
        let combined_filter = move |s: &S, a: &A, b: &A, c: &A, d: &A, e: &A| {
            filter.test(s, a, b, c, d) && joiner.matches(a, e)
        };

        PentaConstraintStream::new_self_join_with_filter(
            self.extractor,
            self.key_extractor,
            FnPentaFilter::new(combined_filter),
        )
    }
}

// Additional doctests for individual methods

#[cfg(doctest)]
mod doctests {
    /* # Filter method

    ```
    use solverforge_scoring::stream::ConstraintFactory;
    use solverforge_scoring::stream::joiner::equal;
    use solverforge_scoring::api::constraint_set::IncrementalConstraint;
    use solverforge_core::score::SoftScore;

    #[derive(Clone, Debug, Hash, PartialEq, Eq)]
    struct Item { group: u32, value: i32 }

    #[derive(Clone)]
    struct Solution { items: Vec<Item> }

    let constraint = ConstraintFactory::<Solution, SoftScore>::new()
    .for_each(|s: &Solution| s.items.as_slice())
    .join(equal(|i: &Item| i.group))
    .join(equal(|i: &Item| i.group))
    .join(equal(|i: &Item| i.group))
    .filter(|a: &Item, b: &Item, c: &Item, d: &Item| {
    a.value + b.value + c.value + d.value > 15
    })
    .penalize(SoftScore::of(1))
    .named("High sum quadruples");

    let solution = Solution {
    items: vec![
    Item { group: 1, value: 3 },
    Item { group: 1, value: 4 },
    Item { group: 1, value: 5 },
    Item { group: 1, value: 6 },
    ],
    };

    // 3+4+5+6=18 > 15, matches
    assert_eq!(constraint.evaluate(&solution), SoftScore::of(-1));
    ```

    # Penalize method

    ```
    use solverforge_scoring::stream::ConstraintFactory;
    use solverforge_scoring::stream::joiner::equal;
    use solverforge_scoring::api::constraint_set::IncrementalConstraint;
    use solverforge_core::score::SoftScore;

    #[derive(Clone, Debug, Hash, PartialEq, Eq)]
    struct Task { priority: u32 }

    #[derive(Clone)]
    struct Solution { tasks: Vec<Task> }

    let constraint = ConstraintFactory::<Solution, SoftScore>::new()
    .for_each(|s: &Solution| s.tasks.as_slice())
    .join(equal(|t: &Task| t.priority))
    .join(equal(|t: &Task| t.priority))
    .join(equal(|t: &Task| t.priority))
    .penalize(SoftScore::of(5))
    .named("Quadruple priority conflict");

    let solution = Solution {
    tasks: vec![
    Task { priority: 1 },
    Task { priority: 1 },
    Task { priority: 1 },
    Task { priority: 1 },
    ],
    };

    // One quadruple = -5
    assert_eq!(constraint.evaluate(&solution), SoftScore::of(-5));
    ```

    # named method

    ```
    use solverforge_scoring::stream::ConstraintFactory;
    use solverforge_scoring::stream::joiner::equal;
    use solverforge_scoring::api::constraint_set::IncrementalConstraint;
    use solverforge_core::score::SoftScore;

    #[derive(Clone, Debug, Hash, PartialEq, Eq)]
    struct Item { id: usize }

    #[derive(Clone)]
    struct Solution { items: Vec<Item> }

    let constraint = ConstraintFactory::<Solution, SoftScore>::new()
    .for_each(|s: &Solution| s.items.as_slice())
    .join(equal(|i: &Item| i.id))
    .join(equal(|i: &Item| i.id))
    .join(equal(|i: &Item| i.id))
    .penalize(SoftScore::of(1))
    .named("Quadruple items");

    assert_eq!(constraint.name(), "Quadruple items");
    ```
    */
}