delaunay 0.7.5

//! Vertex deduplication utilities.

#![forbid(unsafe_code)]

use crate::core::traits::data_type::DataType;
use crate::core::vertex::Vertex;
use crate::geometry::traits::coordinate::CoordinateScalar;

/// Filters vertices to remove exact coordinate duplicates.
///
/// Uses `OrderedFloat`-based comparison to detect exact floating-point matches.
/// This treats NaN as equal to NaN and +0.0 as equal to -0.0, which is appropriate
/// for deduplication. More strict than epsilon-based comparison.
///
/// # Complexity
///
/// O(n²) where n is the number of vertices. This is acceptable for small to moderate
/// vertex counts (hundreds to low thousands). For very large point clouds, consider
/// spatial indexing structures or sorting-based approaches.
///
/// # Arguments
///
/// * `vertices` - Slice of vertices to deduplicate
///
/// # Returns
///
/// A new vector containing only unique vertices (by coordinates). The first
/// occurrence of each unique coordinate is kept.
///
/// # Examples
///
/// ```
/// use delaunay::core::util::dedup_vertices_exact;
/// use delaunay::core::vertex::Vertex;
/// use delaunay::geometry::point::Point;
/// use delaunay::geometry::traits::coordinate::Coordinate;
///
/// let v1: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([0.0, 0.0])])
///     .into_iter().next().unwrap();
/// let v2: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([0.0, 0.0])]) // Duplicate
///     .into_iter().next().unwrap();
/// let v3: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([1.0, 1.0])])
///     .into_iter().next().unwrap();
///
/// let vertices = vec![v1, v2, v3];
/// let unique = dedup_vertices_exact(&vertices);
/// assert_eq!(unique.len(), 2); // Only v1 and v3
/// ```
#[must_use]
pub fn dedup_vertices_exact<T, U, const D: usize>(
    vertices: &[Vertex<T, U, D>],
) -> Vec<Vertex<T, U, D>>
where
    T: CoordinateScalar,
    U: DataType,
{
    let mut unique: Vec<Vertex<T, U, D>> = Vec::with_capacity(vertices.len());

    'outer: for &v in vertices {
        for u in &unique {
            // Exact floating-point equality (NaN-aware, treats +0.0 == -0.0)
            if coords_equal_exact(v.point().coords(), u.point().coords()) {
                continue 'outer; // Skip exact duplicate
            }
        }

        unique.push(v);
    }

    unique
}

/// Filters vertices to remove near-duplicates within epsilon tolerance.
///
/// Uses Euclidean distance to detect vertices within `epsilon` of each other.
/// This is more lenient than exact comparison and helps prevent numerical issues
/// from near-duplicate insertions.
///
/// # Complexity
///
/// O(n²) where n is the number of vertices. This is acceptable for small to moderate
/// vertex counts (hundreds to low thousands). For very large point clouds, consider
/// spatial indexing structures (e.g., k-d tree, octree) for efficient nearest-neighbor queries.
///
/// # Arguments
///
/// * `vertices` - Slice of vertices to deduplicate
/// * `epsilon` - Distance threshold below which vertices are considered duplicates
///
/// # Returns
///
/// A new vector containing vertices that are at least `epsilon` apart from each
/// other (distance >= epsilon). The first occurrence of each cluster is kept.
///
/// # Panics
///
/// Panics if `epsilon` is negative.
///
/// # Examples
///
/// ```
/// use delaunay::core::util::dedup_vertices_epsilon;
/// use delaunay::core::vertex::Vertex;
/// use delaunay::geometry::point::Point;
/// use delaunay::geometry::traits::coordinate::Coordinate;
///
/// let v1: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([0.0, 0.0])])
///     .into_iter().next().unwrap();
/// let v2: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([1e-11, 1e-11])]) // Near duplicate
///     .into_iter().next().unwrap();
/// let v3: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([1.0, 1.0])])
///     .into_iter().next().unwrap();
///
/// let vertices = vec![v1, v2, v3];
/// let unique = dedup_vertices_epsilon(&vertices, 1e-10);
/// assert_eq!(unique.len(), 2); // v2 filtered as near-duplicate of v1
/// ```
pub fn dedup_vertices_epsilon<T, U, const D: usize>(
    vertices: &[Vertex<T, U, D>],
    epsilon: T,
) -> Vec<Vertex<T, U, D>>
where
    T: CoordinateScalar,
    U: DataType,
{
    if epsilon < T::zero() {
        eprintln!("dedup_vertices_epsilon received negative epsilon; enforcing contract");
    }
    assert!(
        epsilon >= T::zero(),
        "dedup_vertices_epsilon expects non-negative epsilon",
    );

    let mut unique: Vec<Vertex<T, U, D>> = Vec::with_capacity(vertices.len());

    'outer: for &v in vertices {
        for u in &unique {
            // Euclidean distance check
            if coords_within_epsilon(v.point().coords(), u.point().coords(), epsilon) {
                continue 'outer; // Skip near-duplicate
            }
        }

        unique.push(v);
    }

    unique
}

/// Filters vertices to exclude those matching reference coordinates.
///
/// Useful for removing vertices that coincide with an initial simplex or other
/// fixed reference points. Uses `OrderedFloat`-based exact comparison (NaN-aware).
///
/// # Complexity
///
/// O(n·m) where n is the number of vertices and m is the number of reference vertices.
/// Typically m is small (D+1 for an initial simplex in dimension D), making this effectively
/// O(n) in practice.
///
/// # Arguments
///
/// * `vertices` - Slice of vertices to filter
/// * `reference` - Reference vertices to exclude matches against
///
/// # Returns
///
/// A new vector containing only vertices whose coordinates don't match any
/// reference vertex coordinates.
///
/// # Examples
///
/// ```
/// use delaunay::core::util::filter_vertices_excluding;
/// use delaunay::core::vertex::Vertex;
/// use delaunay::geometry::point::Point;
/// use delaunay::geometry::traits::coordinate::Coordinate;
///
/// let v1: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([0.0, 0.0])])
///     .into_iter().next().unwrap();
/// let v2: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([1.0, 1.0])])
///     .into_iter().next().unwrap();
///
/// let reference = vec![v1]; // Exclude origin
/// let vertices = vec![v1, v2];
///
/// let filtered = filter_vertices_excluding(&vertices, &reference);
/// assert_eq!(filtered.len(), 1); // Only v2 remains
/// ```
pub fn filter_vertices_excluding<T, U, const D: usize>(
    vertices: &[Vertex<T, U, D>],
    reference: &[Vertex<T, U, D>],
) -> Vec<Vertex<T, U, D>>
where
    T: CoordinateScalar,
    U: DataType,
{
    let mut filtered = Vec::with_capacity(vertices.len());

    'outer: for &v in vertices {
        // Check against all reference vertices
        for ref_v in reference {
            if coords_equal_exact(v.point().coords(), ref_v.point().coords()) {
                continue 'outer; // Skip matching vertex
            }
        }

        filtered.push(v);
    }

    filtered
}

/// Check if two coordinate arrays are exactly equal.
///
/// Uses `OrderedEq` which provides NaN-aware equality comparison.
/// For f32/f64, this ensures consistent comparison including special values.
#[inline]
pub(crate) fn coords_equal_exact<T: CoordinateScalar, const D: usize>(
    a: &[T; D],
    b: &[T; D],
) -> bool {
    // OrderedEq is already in scope via CoordinateScalar bound
    a.iter().zip(b.iter()).all(|(x, y)| x.ordered_eq(y))
}

/// Check if two coordinate arrays are within epsilon distance.
///
/// Returns true if Euclidean distance is strictly less than epsilon (distance < epsilon).
#[inline]
pub(crate) fn coords_within_epsilon<T: CoordinateScalar, const D: usize>(
    a: &[T; D],
    b: &[T; D],
    epsilon: T,
) -> bool {
    let dist_sq: T = a
        .iter()
        .zip(b.iter())
        .map(|(x, y)| (*x - *y) * (*x - *y))
        .fold(T::zero(), |acc, d| acc + d);
    let epsilon_sq = epsilon * epsilon;

    if cfg!(debug_assertions) && dist_sq == epsilon_sq {
        eprintln!(
            "[dedup_vertices_epsilon] distance equals epsilon; keeping point (strict < epsilon)"
        );
    }

    dist_sq < epsilon_sq
}

#[cfg(test)]
mod tests {
    use super::*;

    use crate::geometry::point::Point;
    use crate::geometry::traits::coordinate::Coordinate;
    use crate::vertex;
    use approx::assert_relative_eq;

    #[test]
    fn test_dedup_vertices_exact_comprehensive() {
        // Sub-test: Basic deduplication
        let v1: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([0.0, 0.0])])
            .into_iter()
            .next()
            .unwrap();
        let v2: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([0.0, 0.0])])
            .into_iter()
            .next()
            .unwrap();
        let v3: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([1.0, 1.0])])
            .into_iter()
            .next()
            .unwrap();
        let vertices = vec![v1, v2, v3];
        let unique = dedup_vertices_exact(&vertices);
        assert_eq!(unique.len(), 2, "Should remove exact duplicate");

        // Sub-test: NaN handling - NaN should equal NaN
        let v1_nan: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([f64::NAN, f64::NAN])])
            .into_iter()
            .next()
            .unwrap();
        let v2_nan: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([f64::NAN, f64::NAN])])
            .into_iter()
            .next()
            .unwrap();
        let v3_regular: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([1.0, 1.0])])
            .into_iter()
            .next()
            .unwrap();
        let vertices_nan = vec![v1_nan, v2_nan, v3_regular];
        let unique_nan = dedup_vertices_exact(&vertices_nan);
        assert_eq!(
            unique_nan.len(),
            2,
            "NaN should be considered equal to NaN for deduplication"
        );

        // Sub-test: Zero handling - +0.0 should equal -0.0
        let v1_pos_zero: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([0.0, 0.0])])
            .into_iter()
            .next()
            .unwrap();
        let v2_neg_zero: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([-0.0, -0.0])])
            .into_iter()
            .next()
            .unwrap();
        let v3_one: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([1.0, 1.0])])
            .into_iter()
            .next()
            .unwrap();
        let vertices_zero = vec![v1_pos_zero, v2_neg_zero, v3_one];
        let unique_zero = dedup_vertices_exact(&vertices_zero);
        assert_eq!(
            unique_zero.len(),
            2,
            "+0.0 and -0.0 should be considered equal for deduplication"
        );
    }

    #[test]
    fn test_dedup_vertices_epsilon_basic() {
        // Near-duplicates should be filtered
        let v1: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([0.0, 0.0])])
            .into_iter()
            .next()
            .unwrap();
        let v2: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([1e-11, 1e-11])])
            .into_iter()
            .next()
            .unwrap();
        let v3: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([1.0, 1.0])])
            .into_iter()
            .next()
            .unwrap();

        let vertices = vec![v1, v2, v3];
        let unique = dedup_vertices_epsilon(&vertices, 1e-10);
        assert_eq!(
            unique.len(),
            2,
            "Near-duplicate within epsilon should be removed"
        );
    }

    #[test]
    fn test_dedup_vertices_epsilon_boundary() {
        // Test strict < epsilon semantics (distance = epsilon should NOT be filtered)
        let v1: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([0.0, 0.0])])
            .into_iter()
            .next()
            .unwrap();
        // Distance exactly epsilon (1e-10) in x direction
        let v2: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([1e-10, 0.0])])
            .into_iter()
            .next()
            .unwrap();
        // Distance slightly less than epsilon
        let v3: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([0.99e-10, 0.0])])
            .into_iter()
            .next()
            .unwrap();

        let vertices = vec![v1, v2, v3];
        let unique = dedup_vertices_epsilon(&vertices, 1e-10);
        // v1 kept, v3 filtered (< epsilon), v2 kept (= epsilon, not < epsilon)
        assert_eq!(
            unique.len(),
            2,
            "Distance exactly equal to epsilon should NOT be filtered (strict < semantics)"
        );
    }

    #[test]
    fn test_dedup_vertices_epsilon_preserves_first_occurrence() {
        // Verify that first occurrence is kept, later duplicates removed
        let points = [
            Point::new([0.0, 0.0]),
            Point::new([1e-11, 1e-11]), // Near-duplicate of first
            Point::new([1.0, 1.0]),
            Point::new([1.0 + 1e-11, 1.0 + 1e-11]), // Near-duplicate of third
        ];
        let vertices: Vec<Vertex<f64, (), 2>> = Vertex::from_points(&points);

        let unique = dedup_vertices_epsilon(&vertices, 1e-10);
        assert_eq!(unique.len(), 2, "Should keep first of each cluster");

        // Verify first occurrences are kept
        let unique_coords: Vec<_> = unique
            .iter()
            .map(<&Vertex<_, _, _> as Into<[f64; 2]>>::into)
            .collect();
        assert_relative_eq!(unique_coords[0][0], 0.0, epsilon = 1e-12);
        assert_relative_eq!(unique_coords[0][1], 0.0, epsilon = 1e-12);
        assert_relative_eq!(unique_coords[1][0], 1.0, epsilon = 1e-12);
        assert_relative_eq!(unique_coords[1][1], 1.0, epsilon = 1e-12);
    }

    #[test]
    fn test_filter_vertices_excluding_comprehensive() {
        // Sub-test: Basic exclusion
        let v1: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([0.0, 0.0])])
            .into_iter()
            .next()
            .unwrap();
        let v2: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([1.0, 1.0])])
            .into_iter()
            .next()
            .unwrap();
        let v3: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([2.0, 2.0])])
            .into_iter()
            .next()
            .unwrap();
        let reference_basic = vec![v1];
        let vertices_basic = vec![v1, v2, v3];
        let filtered_basic = filter_vertices_excluding(&vertices_basic, &reference_basic);
        assert_eq!(
            filtered_basic.len(),
            2,
            "Should exclude vertex matching reference"
        );

        // Sub-test: NaN exclusion - NaN reference should match NaN vertices
        let v_nan: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([f64::NAN, f64::NAN])])
            .into_iter()
            .next()
            .unwrap();
        let reference_nan = vec![v_nan];
        let vertices_with_nan: Vec<Vertex<f64, (), 2>> =
            Vertex::from_points(&[Point::new([f64::NAN, f64::NAN]), Point::new([1.0, 1.0])]);
        let filtered_nan = filter_vertices_excluding(&vertices_with_nan, &reference_nan);
        assert_eq!(
            filtered_nan.len(),
            1,
            "NaN reference should exclude NaN vertex"
        );

        // Sub-test: Zero exclusion - +0.0 reference should match -0.0 vertices
        let v_pos_zero: Vertex<f64, (), 2> = Vertex::from_points(&[Point::new([0.0, 0.0])])
            .into_iter()
            .next()
            .unwrap();
        let reference_zero = vec![v_pos_zero];
        let vertices_with_neg_zero: Vec<Vertex<f64, (), 2>> =
            Vertex::from_points(&[Point::new([-0.0, -0.0]), Point::new([1.0, 1.0])]);
        let filtered_zero = filter_vertices_excluding(&vertices_with_neg_zero, &reference_zero);
        assert_eq!(
            filtered_zero.len(),
            1,
            "+0.0 reference should exclude -0.0 vertex"
        );

        // Sub-test: Multiple reference vertices
        // Multiple reference vertices
        let points = [
            Point::new([0.0, 0.0]),
            Point::new([1.0, 1.0]),
            Point::new([2.0, 2.0]),
            Point::new([3.0, 3.0]),
        ];
        let vertices: Vec<Vertex<f64, (), 2>> = Vertex::from_points(&points);

        let reference = vec![vertices[0], vertices[2]]; // Exclude first and third
        let filtered = filter_vertices_excluding(&vertices, &reference);

        assert_eq!(filtered.len(), 2, "Should exclude both reference vertices");

        // Verify remaining vertices are second and fourth
        let filtered_coords: Vec<_> = filtered
            .iter()
            .map(<&Vertex<_, _, _> as Into<[f64; 2]>>::into)
            .collect();
        assert_relative_eq!(filtered_coords[0][0], 1.0, epsilon = 1e-12);
        assert_relative_eq!(filtered_coords[0][1], 1.0, epsilon = 1e-12);
        assert_relative_eq!(filtered_coords[1][0], 3.0, epsilon = 1e-12);
        assert_relative_eq!(filtered_coords[1][1], 3.0, epsilon = 1e-12);
    }

    #[test]
    fn test_filter_vertices_excluding_empty_reference() {
        let vertices: Vec<Vertex<f64, (), 1>> =
            vec![vertex!([0.0]), vertex!([1.0]), vertex!([2.0])];
        let reference: Vec<Vertex<f64, (), 1>> = vec![];
        let filtered = filter_vertices_excluding(&vertices, &reference);
        assert_eq!(filtered.len(), vertices.len());
    }
}