/// <summary>
/// Same as Spline.Project but the point is transformed by the computer's transform.
/// </summary>
/// <param name="position">Point in space</param>
/// <param name="subdivide">Subdivisions default: 4</param>
/// <param name="from">Sample from [0-1] default: 0f</param>
/// <param name="to">Sample to [0-1] default: 1f</param>
/// <param name="mode">Mode to use the method in. Cached uses the cached samples while Calculate is more accurate but heavier</param>
/// <param name="subdivisions">Subdivisions for the Calculate mode. Don't assign if not using Calculated mode.</param>
/// <returns></returns>
public void Project(Vector3 position, int controlPointCount, SplineSample result, double from = 0.0, double to = 1.0)
{
if (!hasSamples)
{
return;
}
if (Count == 1)
{
if (result == null)
{
result = new SplineSample(samples[0]);
}
else
{
result.CopyFrom(samples[0]);
}
return;
}
Spline.FormatFromTo(ref from, ref to);
//First make a very rough sample of the from-to region
int steps = (controlPointCount - 1) * 6; //Sampling six points per segment is enough to find the closest point range
int step = Count / steps;
if (step < 1)
{
step = 1;
}
float minDist = (position - samples[0].position).sqrMagnitude;
int fromIndex = 0;
int toIndex = Count - 1;
double lerp;
if (from != 0.0)
{
GetSamplingValues(from, out fromIndex, out lerp);
}
if (to != 1.0)
{
GetSamplingValues(to, out toIndex, out lerp);
if (lerp > 0.0 && toIndex < Count - 1)
{
toIndex++;
}
}
int checkFrom = fromIndex;
int checkTo = toIndex;
//Find the closest point range which will be checked in detail later
for (int i = fromIndex; i <= toIndex; i += step)
{
if (i > toIndex)
{
i = toIndex;
}
float dist = (position - samples[i].position).sqrMagnitude;
if (dist < minDist)
{
minDist = dist;
checkFrom = Mathf.Max(i - step, 0);
checkTo = Mathf.Min(i + step, Count - 1);
}
if (i == toIndex)
{
break;
}
}
minDist = (position - samples[checkFrom].position).sqrMagnitude;
int index = checkFrom;
//Find the closest result within the range
for (int i = checkFrom + 1; i <= checkTo; i++)
{
float dist = (position - samples[i].position).sqrMagnitude;
if (dist < minDist)
{
minDist = dist;
index = i;
}
}
//Project the point on the line between the two closest samples
int backIndex = index - 1;
if (backIndex < 0)
{
backIndex = 0;
}
int frontIndex = index + 1;
if (frontIndex > Count - 1)
{
frontIndex = Count - 1;
}
Vector3 back = LinearAlgebraUtility.ProjectOnLine(samples[backIndex].position, samples[index].position, position);
Vector3 front = LinearAlgebraUtility.ProjectOnLine(samples[index].position, samples[frontIndex].position, position);
float backLength = (samples[index].position - samples[backIndex].position).magnitude;
float frontLength = (samples[index].position - samples[frontIndex].position).magnitude;
float backProjectDist = (back - samples[backIndex].position).magnitude;
float frontProjectDist = (front - samples[frontIndex].position).magnitude;
if (backIndex < index && index < frontIndex)
{
if ((position - back).sqrMagnitude < (position - front).sqrMagnitude)
{
SplineSample.Lerp(samples[backIndex], samples[index], backProjectDist / backLength, result);
if (sampleMode == SplineComputer.SampleMode.Uniform)
{
result.percent = DMath.Lerp(GetSamplePercent(backIndex), GetSamplePercent(index), backProjectDist / backLength);
}
}
else
{
SplineSample.Lerp(samples[frontIndex], samples[index], frontProjectDist / frontLength, result);
if (sampleMode == SplineComputer.SampleMode.Uniform)
{
result.percent = DMath.Lerp(GetSamplePercent(frontIndex), GetSamplePercent(index), frontProjectDist / frontLength);
}
}
}
else if (backIndex < index)
{
SplineSample.Lerp(samples[backIndex], samples[index], backProjectDist / backLength, result);
if (sampleMode == SplineComputer.SampleMode.Uniform)
{
result.percent = DMath.Lerp(GetSamplePercent(backIndex), GetSamplePercent(index), backProjectDist / backLength);
}
}
else
{
SplineSample.Lerp(samples[frontIndex], samples[index], frontProjectDist / frontLength, result);
if (sampleMode == SplineComputer.SampleMode.Uniform)
{
result.percent = DMath.Lerp(GetSamplePercent(frontIndex), GetSamplePercent(index), frontProjectDist / frontLength);
}
}
if (Count > 1 && from == 0.0 && to == 1.0 && result.percent < samples[1].percent) //Handle looped splines
{
Vector3 projected = LinearAlgebraUtility.ProjectOnLine(samples[Count - 1].position, samples[Count - 2].position, position);
if ((position - projected).sqrMagnitude < (position - result.position).sqrMagnitude)
{
double l = LinearAlgebraUtility.InverseLerp(samples[Count - 1].position, samples[Count - 2].position, projected);
SplineSample.Lerp(samples[Count - 1], samples[Count - 2], l, result);
if (sampleMode == SplineComputer.SampleMode.Uniform)
{
result.percent = DMath.Lerp(GetSamplePercent(Count - 1), GetSamplePercent(Count - 2), l);
}
}
}
}
public virtual void Project(SplineResult result, Vector3 point, double from = 0.0, double to = 1.0)
{
if (samples.Length == 0)
{
return;
}
if (samples.Length == 1)
{
if (result == null)
{
result = new SplineResult(samples[0]);
}
else
{
result.CopyFrom(samples[0]);
}
return;
}
if (computer == null)
{
result = new SplineResult();
return;
}
//First make a very rough sample of the from-to region
int steps = (computer.pointCount - 1) * 6; //Sampling six points per segment is enough to find the closest point range
int step = samples.Length / steps;
if (step < 1)
{
step = 1;
}
float minDist = (point - samples[0].position).sqrMagnitude;
int fromIndex = 0;
int toIndex = samples.Length - 1;
if (from != 0.0)
{
fromIndex = GetSampleIndex(from);
}
if (to != 1.0)
{
toIndex = Mathf.CeilToInt((float)to * (samples.Length - 1));
}
int checkFrom = fromIndex;
int checkTo = toIndex;
//Find the closest point range which will be checked in detail later
for (int i = fromIndex; i <= toIndex; i += step)
{
if (i > toIndex)
{
i = toIndex;
}
float dist = (point - samples[i].position).sqrMagnitude;
if (dist < minDist)
{
minDist = dist;
checkFrom = Mathf.Max(i - step, 0);
checkTo = Mathf.Min(i + step, samples.Length - 1);
}
if (i == toIndex)
{
break;
}
}
minDist = (point - samples[checkFrom].position).sqrMagnitude;
int index = checkFrom;
//Find the closest result within the range
for (int i = checkFrom + 1; i <= checkTo; i++)
{
float dist = (point - samples[i].position).sqrMagnitude;
if (dist < minDist)
{
minDist = dist;
index = i;
}
}
//Project the point on the line between the two closest samples
int backIndex = index - 1;
if (backIndex < 0)
{
backIndex = 0;
}
int frontIndex = index + 1;
if (frontIndex > samples.Length - 1)
{
frontIndex = samples.Length - 1;
}
Vector3 back = LinearAlgebraUtility.ProjectOnLine(samples[backIndex].position, samples[index].position, point);
Vector3 front = LinearAlgebraUtility.ProjectOnLine(samples[index].position, samples[frontIndex].position, point);
float backLength = (samples[index].position - samples[backIndex].position).magnitude;
float frontLength = (samples[index].position - samples[frontIndex].position).magnitude;
float backProjectDist = (back - samples[backIndex].position).magnitude;
float frontProjectDist = (front - samples[frontIndex].position).magnitude;
if (backIndex < index && index < frontIndex)
{
if ((point - back).sqrMagnitude < (point - front).sqrMagnitude)
{
SplineResult.Lerp(samples[backIndex], samples[index], backProjectDist / backLength, result);
}
else
{
SplineResult.Lerp(samples[frontIndex], samples[index], frontProjectDist / frontLength, result);
}
}
else if (backIndex < index)
{
SplineResult.Lerp(samples[backIndex], samples[index], backProjectDist / backLength, result);
}
else
{
SplineResult.Lerp(samples[frontIndex], samples[index], frontProjectDist / frontLength, result);
}
if (from == 0.0 && to == 1.0 && result.percent < _address.moveStep / _resolution) //Handle looped splines
{
Vector3 projected = LinearAlgebraUtility.ProjectOnLine(samples[samples.Length - 1].position, samples[samples.Length - 2].position, point);
if ((point - projected).sqrMagnitude < (point - result.position).sqrMagnitude)
{
SplineResult.Lerp(samples[samples.Length - 1], samples[samples.Length - 2], LinearAlgebraUtility.InverseLerp(samples[samples.Length - 1].position, samples[samples.Length - 2].position, projected), result);
}
}
}
public virtual void Project(SplineResult result, Vector3 point, double from = 0.0, double to = 1.0)
{
if (samples.Length == 0)
{
return;
}
if (samples.Length == 1)
{
if (result == null)
{
result = new SplineResult(samples[0]);
}
else
{
result.CopyFrom(samples[0]);
}
return;
}
if (computer == null)
{
result = new SplineResult();
return;
}
int num = (computer.pointCount - 1) * 6;
int num2 = samples.Length / num;
if (num2 < 1)
{
num2 = 1;
}
float num3 = (point - samples[0].position).sqrMagnitude;
int num4 = 0;
int num5 = samples.Length - 1;
if (from != 0.0)
{
num4 = GetSampleIndex(from);
}
if (to != 1.0)
{
num5 = Mathf.CeilToInt((float)to * (float)(samples.Length - 1));
}
int num6 = num4;
int num7 = num5;
for (int i = num4; i <= num5; i += num2)
{
if (i > num5)
{
i = num5;
}
float sqrMagnitude = (point - samples[i].position).sqrMagnitude;
if (sqrMagnitude < num3)
{
num3 = sqrMagnitude;
num6 = Mathf.Max(i - num2, 0);
num7 = Mathf.Min(i + num2, samples.Length - 1);
}
if (i == num5)
{
break;
}
}
num3 = (point - samples[num6].position).sqrMagnitude;
int num8 = num6;
for (int j = num6 + 1; j <= num7; j++)
{
float sqrMagnitude2 = (point - samples[j].position).sqrMagnitude;
if (sqrMagnitude2 < num3)
{
num3 = sqrMagnitude2;
num8 = j;
}
}
int num9 = num8 - 1;
if (num9 < 0)
{
num9 = 0;
}
int num10 = num8 + 1;
if (num10 > samples.Length - 1)
{
num10 = samples.Length - 1;
}
Vector3 vector = LinearAlgebraUtility.ProjectOnLine(samples[num9].position, samples[num8].position, point);
Vector3 vector2 = LinearAlgebraUtility.ProjectOnLine(samples[num8].position, samples[num10].position, point);
float magnitude = (samples[num8].position - samples[num9].position).magnitude;
float magnitude2 = (samples[num8].position - samples[num10].position).magnitude;
float magnitude3 = (vector - samples[num9].position).magnitude;
float magnitude4 = (vector2 - samples[num10].position).magnitude;
if (num9 < num8 && num8 < num10)
{
if ((point - vector).sqrMagnitude < (point - vector2).sqrMagnitude)
{
SplineResult.Lerp(samples[num9], samples[num8], magnitude3 / magnitude, result);
}
else
{
SplineResult.Lerp(samples[num10], samples[num8], magnitude4 / magnitude2, result);
}
}
else if (num9 < num8)
{
SplineResult.Lerp(samples[num9], samples[num8], magnitude3 / magnitude, result);
}
else
{
SplineResult.Lerp(samples[num10], samples[num8], magnitude4 / magnitude2, result);
}
if (from == 0.0 && to == 1.0 && result.percent < _address.moveStep / _resolution)
{
Vector3 vector3 = LinearAlgebraUtility.ProjectOnLine(samples[samples.Length - 1].position, samples[samples.Length - 2].position, point);
if ((point - vector3).sqrMagnitude < (point - result.position).sqrMagnitude)
{
SplineResult.Lerp(samples[samples.Length - 1], samples[samples.Length - 2], LinearAlgebraUtility.InverseLerp(samples[samples.Length - 1].position, samples[samples.Length - 2].position, vector3), result);
}
}
}