private int SetData(RichCell c, int selfIdx, int neighbourIdx, int dataIdx, bool dataRecorded)
{
RichCell.HeightData data;
if (dataRecorded)
{
data = _heightData[dataIdx++];
}
else
{
data = new RichCell.HeightData();
}
c.SetHeightData(selfIdx, data);
var n = GetNeighbourFromIdx(c, selfIdx);
if (n != null)
{
//Neighbour values are reversed
var neighbourData = new RichCell.HeightData
{
climbHeight = data.dropHeight,
dropHeight = data.climbHeight,
slope = data.slope
};
n.SetHeightData(neighbourIdx, neighbourData);
}
return(dataIdx);
}
private void StoreData(RichCell.HeightData[] source, int sourceIdx, int cellIdx, int entryMark)
{
var data = source[sourceIdx];
if (data.climbHeight > 0f || data.dropHeight > 0f || data.slope > 0f)
{
if (_heightDataIndices[cellIdx] == 0)
{
_heightDataIndices[cellIdx] = _recordedEntries << 4;
}
_heightData[_recordedEntries++] = data;
_heightDataIndices[cellIdx] |= entryMark;
}
}
private void UpdateCellHeightData(RichCell reference, RichCell neighbour, float ledgeThreshold, int dx, int dz)
{
GetPerpendicularOffsets(dx, dz);
var granularity = _matrix.granularity;
var steps = _matrix.cellSize / granularity;
var data = new RichCell.HeightData();
for (int o = 0; o < 3; o++)
{
var samplePos = reference.position + _offsets[o];
var fromHeight = _heightSampler.SampleHeight(samplePos, _matrix);
var climbAccumulator = 0.0f;
var dropAccumulator = 0.0f;
for (int i = 0; i < steps; i++)
{
samplePos.x += (dx * granularity);
samplePos.z += (dz * granularity);
var toHeight = _heightSampler.SampleHeight(samplePos, _matrix);
var heightDiff = toHeight - fromHeight;
var absDiff = Mathf.Abs(heightDiff);
//Initially we just record the slope as the height diff
if (data.slope < absDiff)
{
data.slope = absDiff;
}
if (absDiff < ledgeThreshold)
{
if (data.dropHeight < dropAccumulator)
{
data.dropHeight = dropAccumulator;
}
else if (data.climbHeight < climbAccumulator)
{
data.climbHeight = climbAccumulator;
}
dropAccumulator = 0f;
climbAccumulator = 0f;
}
if (heightDiff > 0f)
{
climbAccumulator += heightDiff;
if (data.dropHeight < dropAccumulator)
{
data.dropHeight = dropAccumulator;
}
dropAccumulator = 0f;
}
else if (heightDiff < 0f)
{
dropAccumulator += absDiff;
if (data.climbHeight < climbAccumulator)
{
data.climbHeight = climbAccumulator;
}
climbAccumulator = 0f;
}
fromHeight = toHeight;
}
//Make sure we get the last accumulation recorded
if (data.dropHeight < dropAccumulator)
{
data.dropHeight = dropAccumulator;
}
else if (data.climbHeight < climbAccumulator)
{
data.climbHeight = climbAccumulator;
}
} /* end for each offset */
//Set the slope to an angular value
var mod = (dx != 0 && dz != 0) ? Consts.SquareRootTwo : 1f;
data.slope = Mathf.Atan(data.slope / (granularity * mod)) * Mathf.Rad2Deg;
//Set the data
reference.SetHeightData(dx, dz, data);
reference.CalculateWorst();
//Create the neighbour data as the reverse of this, i.e. drop = climb and vice versa
var neighbourData = new RichCell.HeightData(data.slope, data.dropHeight, data.climbHeight);
neighbour.SetHeightData(-dx, -dz, neighbourData);
neighbour.CalculateWorst();
}
private int SetData(RichCell c, int selfIdx, int neighbourIdx, int dataIdx, bool dataRecorded)
{
RichCell.HeightData data;
if (dataRecorded)
{
data = _heightData[dataIdx++];
}
else
{
data = new RichCell.HeightData();
}
c.SetHeightData(selfIdx, data);
var n = GetNeighbourFromIdx(c, selfIdx);
if (n != null)
{
//Neighbour values are reversed
var neighbourData = new RichCell.HeightData
{
climbHeight = data.dropHeight,
dropHeight = data.climbHeight,
slope = data.slope
};
n.SetHeightData(neighbourIdx, neighbourData);
}
return dataIdx;
}
private void UpdateCellHeightData(RichCell reference, RichCell neighbour, float ledgeThreshold, int dx, int dz)
{
var heightSampler = GetHeightSampler();
var offsets = GetPerpendicularOffsets(dx, dz);
var granularity = _matrix.granularity;
var steps = _matrix.cellSize / granularity;
var data = new RichCell.HeightData();
for (int o = 0; o < 3; o++)
{
var samplePos = reference.position + offsets[o];
var fromHeight = heightSampler.SampleHeight(samplePos, _matrix);
var climbAccumulator = 0.0f;
var dropAccumulator = 0.0f;
for (int i = 0; i < steps; i++)
{
samplePos.x += (dx * granularity);
samplePos.z += (dz * granularity);
var toHeight = heightSampler.SampleHeight(samplePos, _matrix);
var heightDiff = toHeight - fromHeight;
var absDiff = Mathf.Abs(heightDiff);
//Initially we just record the slope as the height diff
if (data.slope < absDiff)
{
data.slope = absDiff;
}
if (absDiff < ledgeThreshold)
{
if (data.dropHeight < dropAccumulator)
{
data.dropHeight = dropAccumulator;
}
else if (data.climbHeight < climbAccumulator)
{
data.climbHeight = climbAccumulator;
}
dropAccumulator = 0f;
climbAccumulator = 0f;
}
if (heightDiff > 0f)
{
climbAccumulator += heightDiff;
if (data.dropHeight < dropAccumulator)
{
data.dropHeight = dropAccumulator;
}
dropAccumulator = 0f;
}
else if (heightDiff < 0f)
{
dropAccumulator += absDiff;
if (data.climbHeight < climbAccumulator)
{
data.climbHeight = climbAccumulator;
}
climbAccumulator = 0f;
}
fromHeight = toHeight;
}
//Make sure we get the last accumulation recorded
if (data.dropHeight < dropAccumulator)
{
data.dropHeight = dropAccumulator;
}
else if (data.climbHeight < climbAccumulator)
{
data.climbHeight = climbAccumulator;
}
} /* end for each offset */
//Set the slope to an angular value
var mod = (dx != 0 && dz != 0) ? Consts.SquareRootTwo : 1f;
data.slope = Mathf.Atan(data.slope / (granularity * mod)) * Mathf.Rad2Deg;
//Set the data
reference.SetHeightData(dx, dz, data);
reference.CalculateWorst();
//Create the neighbour data as the reverse of this, i.e. drop = climb and vice versa
var neighbourData = new RichCell.HeightData(data.slope, data.dropHeight, data.climbHeight);
neighbour.SetHeightData(-dx, -dz, neighbourData);
neighbour.CalculateWorst();
}