public long[] CircularDeadZoneValueTests(long x, long y, int percentage)
{
var helper = new CircularDeadZoneHelper {
Percentage = percentage
};
return(helper.ApplyRangeDeadZone(new[] { x, y }));
}
public short[] CircularDeadZoneValueTests(short x, short y, int percentage)
{
var helper = new CircularDeadZoneHelper {
Percentage = percentage
};
return(helper.ApplyRangeDeadZone(new[] { x, y }));
}
public void CircularDzOutsideTests(long x, long y, int percentage)
{
var helper = new CircularDeadZoneHelper {
Percentage = percentage
};
var result = helper.ApplyRangeDeadZone(new long[] { -16383, -16383 });
Assert.AreNotEqual(new long[] { 0, 0 }, result);
}
public void CircularDzMaxRange(short x, short y, int percentage)
{
var helper = new CircularDeadZoneHelper {
Percentage = percentage
};
var result = helper.ApplyRangeDeadZone(new short[] { x, y });
Assert.AreEqual(new short[] { x, y }, result);
}
public override void Update(params long[] values)
{
var outputValues = new long[] { values[0], values[1] };
if (DeadZone != 0)
{
if (CircularDz)
{
outputValues = _circularDeadZoneHelper.ApplyRangeDeadZone(outputValues);
}
else
{
outputValues[0] = _deadZoneHelper.ApplyRangeDeadZone(outputValues[0]);
outputValues[1] = _deadZoneHelper.ApplyRangeDeadZone(outputValues[1]);
}
}
if (Sensitivity != 100)
{
if (Linear)
{
outputValues[0] = (long)(outputValues[0] * _linearSenstitivityScaleFactor);
outputValues[1] = (long)(outputValues[1] * _linearSenstitivityScaleFactor);
}
else
{
outputValues[0] = _sensitivityHelper.ApplyRangeSensitivity(outputValues[0]);
outputValues[1] = _sensitivityHelper.ApplyRangeSensitivity(outputValues[1]);
}
}
outputValues[0] = Functions.ClampAxisRange(outputValues[0]);
outputValues[1] = Functions.ClampAxisRange(outputValues[1]);
if (InvertX)
{
outputValues[0] = Functions.Invert(outputValues[0]);
}
if (InvertY)
{
outputValues[1] = Functions.Invert(outputValues[1]);
}
if (Math.Abs(Rotation) > 0)
{
var vector = new Vector(outputValues[0], outputValues[1]);
vector = vector.Rotate(Rotation);
outputValues[0] = (long)vector.X;
outputValues[1] = (long)vector.Y;
}
WriteOutput(0, outputValues[0]);
WriteOutput(1, outputValues[1]);
}
public override void Update(params short[] values)
{
var outputValues = new short[] { values[0], values[1] };
if (DeadZone != 0)
{
if (CircularDz)
{
outputValues = _circularDeadZoneHelper.ApplyRangeDeadZone(outputValues);
}
else
{
outputValues[0] = _deadZoneHelper.ApplyRangeDeadZone(outputValues[0]);
outputValues[1] = _deadZoneHelper.ApplyRangeDeadZone(outputValues[1]);
}
}
if (Sensitivity != 100)
{
if (Linear)
{
outputValues[0] = (short)(outputValues[0] * _linearSensitivityScaleFactor);
outputValues[1] = (short)(outputValues[1] * _linearSensitivityScaleFactor);
}
else
{
outputValues[0] = _sensitivityHelper.ApplyRangeSensitivity(outputValues[0]);
outputValues[1] = _sensitivityHelper.ApplyRangeSensitivity(outputValues[1]);
}
}
outputValues[0] = Functions.ClampAxisRange(outputValues[0]);
outputValues[1] = Functions.ClampAxisRange(outputValues[1]);
if (InvertX)
{
outputValues[0] = Functions.Invert(outputValues[0]);
}
if (InvertY)
{
outputValues[1] = Functions.Invert(outputValues[1]);
}
WriteOutput(0, outputValues[0]);
WriteOutput(1, outputValues[1]);
}
public long[] CircularDeadZoneInitTests(long x, long y)
{
var helper = new CircularDeadZoneHelper();
return(helper.ApplyRangeDeadZone(new[] { x, y }));
}
public short[] CircularDeadZoneInitTests(short x, short y)
{
var helper = new CircularDeadZoneHelper();
return(helper.ApplyRangeDeadZone(new[] { x, y }));
}
public override void Update(params short[] values)
{
if (values[3] == 1)
{
// Reset held
_trimX = 0;
_trimY = 0;
}
else if (values[2] == 1)
{
// Trim held
if (!_trimValueTaken)
{
// First iteration through, store new trim value and set _trimValueTaken flag
_trimX += values[0];
_trimY += values[1];
_trimValueTaken = true;
}
}
else
{
var outputValues = new[] { values[0], values[1] };
if (values[2] == 0)
{
_trimValueTaken = false; // ToDo: This is clumsy, fix once we can get notification of *which* input changed state
}
if (DeadZone != 0)
{
if (CircularDz)
{
outputValues = _circularDeadZoneHelper.ApplyRangeDeadZone(outputValues);
}
else
{
outputValues[0] = _deadZoneHelper.ApplyRangeDeadZone(outputValues[0]);
outputValues[1] = _deadZoneHelper.ApplyRangeDeadZone(outputValues[1]);
}
}
if (Sensitivity != 100)
{
if (Linear)
{
outputValues[0] = (short)(outputValues[0] * _linearSenstitivityScaleFactor);
outputValues[1] = (short)(outputValues[1] * _linearSenstitivityScaleFactor);
}
else
{
outputValues[0] = _sensitivityHelper.ApplyRangeSensitivity(outputValues[0]);
outputValues[1] = _sensitivityHelper.ApplyRangeSensitivity(outputValues[1]);
}
}
// Apply trim
outputValues[0] += _trimX;
outputValues[1] += _trimY;
outputValues[0] = Functions.ClampAxisRange(outputValues[0]);
outputValues[1] = Functions.ClampAxisRange(outputValues[1]);
if (InvertX)
{
outputValues[0] = Functions.Invert(outputValues[0]);
}
if (InvertY)
{
outputValues[1] = Functions.Invert(outputValues[1]);
}
WriteOutput(0, outputValues[0]);
WriteOutput(1, outputValues[1]);
}
}
