osu-lazer/osu.Game.Mode.Osu/Objects/Slider.cs

//Copyright (c) 2007-2016 ppy Pty Ltd <contact@ppy.sh>.
//Licensed under the MIT Licence - https://raw.githubusercontent.com/ppy/osu/master/LICENCE

using System.Collections.Generic;
using OpenTK;

namespace osu.Game.Modes.Osu.Objects
{
    public class Slider : OsuHitObject
    {
        public override double EndTime => StartTime + (RepeatCount + 1) * Curve.Length;

        public int RepeatCount;

        public SliderCurve Curve;
        
    }

    public class SliderCurve
    {
        public double Length;

        public List<Vector2> Path;

        public CurveTypes CurveType;

        private List<Vector2> calculatedPath;

        public void Calculate()
        {
            switch (CurveType)
            {
                case CurveTypes.Linear:
                    calculatedPath = Path;
                    break;
                default:
                    var bezier = new BezierApproximator(Path);
                    calculatedPath = bezier.CreateBezier();
                    break;
            }
        }

        public Vector2 PositionAt(double progress)
        {
            int index = (int)(progress * (calculatedPath.Count - 1));

            Vector2 pos = calculatedPath[index];
            if (index != progress)
                pos += (calculatedPath[index + 1] - pos) * (float)(progress - index);

            return pos;
        }
    }

    public class BezierApproximator
    {
        private int count;
        private List<Vector2> controlPoints;
        private Vector2[] subdivisionBuffer1;
        private Vector2[] subdivisionBuffer2;

        private const float TOLERANCE = 0.5f;
        private const float TOLERANCE_SQ = TOLERANCE * TOLERANCE;

        public BezierApproximator(List<Vector2> controlPoints)
        {
            this.controlPoints = controlPoints;
            count = controlPoints.Count;

            subdivisionBuffer1 = new Vector2[count];
            subdivisionBuffer2 = new Vector2[count * 2 - 1];
        }

        /// <summary>
        /// Make sure the 2nd order derivative (approximated using finite elements) is within tolerable bounds.
        /// NOTE: The 2nd order derivative of a 2d curve represents its curvature, so intuitively this function
        ///       checks (as the name suggests) whether our approximation is _locally_ "flat". More curvy parts
        ///       need to have a denser approximation to be more "flat".
        /// </summary>
        /// <param name="controlPoints">The control points to check for flatness.</param>
        /// <returns>Whether the control points are flat enough.</returns>
        private static bool IsFlatEnough(Vector2[] controlPoints)
        {
            for (int i = 1; i < controlPoints.Length - 1; i++)
                if ((controlPoints[i - 1] - 2 * controlPoints[i] + controlPoints[i + 1]).LengthSquared > TOLERANCE_SQ)
                    return false;

            return true;
        }

        /// <summary>
        /// Subdivides n control points representing a bezier curve into 2 sets of n control points, each
        /// describing a bezier curve equivalent to a half of the original curve. Effectively this splits
        /// the original curve into 2 curves which result in the original curve when pieced back together.
        /// </summary>
        /// <param name="controlPoints">The control points to split.</param>
        /// <param name="l">Output: The control points corresponding to the left half of the curve.</param>
        /// <param name="r">Output: The control points corresponding to the right half of the curve.</param>
        private void Subdivide(Vector2[] controlPoints, Vector2[] l, Vector2[] r)
        {
            Vector2[] midpoints = subdivisionBuffer1;

            for (int i = 0; i < count; ++i)
                midpoints[i] = controlPoints[i];

            for (int i = 0; i < count; i++)
            {
                l[i] = midpoints[0];
                r[count - i - 1] = midpoints[count - i - 1];

                for (int j = 0; j < count - i - 1; j++)
                    midpoints[j] = (midpoints[j] + midpoints[j + 1]) / 2;
            }
        }

        /// <summary>
        /// This uses <a href="https://en.wikipedia.org/wiki/De_Casteljau%27s_algorithm">De Casteljau's algorithm</a> to obtain an optimal
        /// piecewise-linear approximation of the bezier curve with the same amount of points as there are control points.
        /// </summary>
        /// <param name="controlPoints">The control points describing the bezier curve to be approximated.</param>
        /// <param name="output">The points representing the resulting piecewise-linear approximation.</param>
        private void Approximate(Vector2[] controlPoints, List<Vector2> output)
        {
            Vector2[] l = subdivisionBuffer2;
            Vector2[] r = subdivisionBuffer1;

            Subdivide(controlPoints, l, r);

            for (int i = 0; i < count - 1; ++i)
                l[count + i] = r[i + 1];

            output.Add(controlPoints[0]);
            for (int i = 1; i < count - 1; ++i)
            {
                int index = 2 * i;
                Vector2 p = 0.25f * (l[index - 1] + 2 * l[index] + l[index + 1]);
                output.Add(p);
            }
        }

        /// <summary>
        /// Creates a piecewise-linear approximation of a bezier curve, by adaptively repeatedly subdividing
        /// the control points until their approximation error vanishes below a given threshold.
        /// </summary>
        /// <param name="controlPoints">The control points describing the curve.</param>
        /// <returns>A list of vectors representing the piecewise-linear approximation.</returns>
        public List<Vector2> CreateBezier()
        {
            List<Vector2> output = new List<Vector2>();

            if (count == 0)
                return output;

            Stack<Vector2[]> toFlatten = new Stack<Vector2[]>();
            Stack<Vector2[]> freeBuffers = new Stack<Vector2[]>();

            // "toFlatten" contains all the curves which are not yet approximated well enough.
            // We use a stack to emulate recursion without the risk of running into a stack overflow.
            // (More specifically, we iteratively and adaptively refine our curve with a 
            // <a href="https://en.wikipedia.org/wiki/Depth-first_search">Depth-first search</a>
            // over the tree resulting from the subdivisions we make.)
            toFlatten.Push(controlPoints.ToArray());

            Vector2[] leftChild = subdivisionBuffer2;

            while (toFlatten.Count > 0)
            {
                Vector2[] parent = toFlatten.Pop();
                if (IsFlatEnough(parent))
                {
                    // If the control points we currently operate on are sufficiently "flat", we use
                    // an extension to De Casteljau's algorithm to obtain a piecewise-linear approximation
                    // of the bezier curve represented by our control points, consisting of the same amount
                    // of points as there are control points.
                    Approximate(parent, output);
                    freeBuffers.Push(parent);
                    continue;
                }

                // If we do not yet have a sufficiently "flat" (in other words, detailed) approximation we keep
                // subdividing the curve we are currently operating on.
                Vector2[] rightChild = freeBuffers.Count > 0 ? freeBuffers.Pop() : new Vector2[count];
                Subdivide(parent, leftChild, rightChild);

                // We re-use the buffer of the parent for one of the children, so that we save one allocation per iteration.
                for (int i = 0; i < count; ++i)
                    parent[i] = leftChild[i];

                toFlatten.Push(rightChild);
                toFlatten.Push(parent);
            }

            output.Add(controlPoints[count - 1]);
            return output;
        }
    }

    public enum CurveTypes
    {
        Catmull,
        Bezier,
        Linear,
        PerfectCurve
    };
}