Simplified / normalized easign algorithms.
Functions here take a (mostly linear / normalized) input value, then spits out an eased output, so are not coupled to time or animation directly.
Once you have a normalized completion (a value between 0 and 1), or any kind of percentage somewhere in your code, you can just ease it as you like, then go along with the rest of the application.
Can be applied to any float using extension methods.
float easedCompletion = completion.ValueWithEasingType(EasingType.Ease_In_Out_Bounce_3);Or you can use easing instances directly.
float easedCompletion = currentEasing.ValueForInput(completion);Easing objects gets allocated once, then pooled at runtime. You can access them using static accessor.
EPPZEasing currentEasing = EPPZEasing.EasingForType(EasingType.Ease_In_Out_Circular);
Need only a single file called EPPZEasing.cs.
The code for EPPZEasing.Linear goes like:
return input; // :)Compared to the usual easing implementations, like:
return valueChange * currentTime / duration + startValue;While this is all fine above, it feels way too specific for me, as beside easing, it implements value changing over time, also forces you to normalize time in this manner. If you want to change 6 values at once, you have to ease each an every value.
The code is mostly self documented, you can see actual easing algorithms with some explanations within the class bodies (implemented for testbed scene in the first place).
public class EPPZEasing_Ease_Out_Bounce_3 : EPPZEasing
{
public override EasingType type { get { return EasingType.Ease_Out_Bounce_3; } }
public override string name { get { return "Ease_Out_Bounce_3"; } }
public override string description { get { return "Inverse offset power composition"; } }
public override string algorithm { get { return "y = 1 - (4(1 - x)^3 - 3(1 - x)^2)"; } }
public override string simplifiedAlgorithm { get { return "y = x(x(4x-9)+6)"; } }
public override float ValueForInput(float x)
{
return x * ( x * (4 * x - 9 ) + 6);
}
}For easy reference, find the equations (and simplifications) implemented so far below.
// Linear
y = x
// Ease_In
y = x^2
// Ease_In_2
y = x^3
// Ease_In_3
y = x^8
// Ease_Out
y = 1-(1-x)^2
// Ease_Out_2
y = 1-(1-x)^3
// Ease_Out_3
y = 1-(1-x)^8
// Ease_In_Out
y = (x<0.5) ? (2x)^2/2 : 0.5+(1-(2(1-x))^2)/2
y = (x<0.5) ? 2x^2 : -2x^2+4x-1
// Ease_In_Out_2
y = (x<0.5) ? (2x)^3/2 : 0.5+(1-(2(1-x))^3)/2
y = (x<0.5) ? 4x^3 : 4x^3-12x^2+12x-3
// Ease_In_Out_3
y = (x<0.5) ? (2x)^8/2 : 0.5+(1-(2(1-x))^8)/2
y = (x<0.5) ? 128x^8 : 0.5+(1-(2(1-x))^8)/2
// Ease_In_Circular
y = 1-sqrt(1-x^2)
// Ease_Out_Circular
y = sqrt(1-(1-x)^2)
y = sqrt(-(x-2)x)
// Ease_In_Out_Circular
y = (x<0.5) ? (1-sqrt(1-(2x)^2))/2 : 0.5+sqrt(1-((2(1-x))^2))/2
y = (x<0.5) ? 0.5(1-sqrt(1-4x^2)) : 0.5(sqrt(-4(x-2)x-3)+1)
// Ease_In_Bounce
y = 2x^3-x^2
y = x^2(2x-1)
// Ease_In_Bounce_2
y = 3x^3-2x^2
y = x^2(3x-2)
// Ease_In_Bounce_3
y = 4x^3-3x^2
y = x^2(4x-3)
// Ease_Out_Bounce
y = 1-(2(1-x)^3-(1-x)^2)
y = x(x(2x-5)+4)
// Ease_Out_Bounce_2
y = 1-(3(1-x)^3-2(1-x)^2)
y = x(x(3x-7)+5)
// Ease_Out_Bounce_3
y = 1-(4(1-x)^3-3(1-x)^2)
y = x(x(4x-9)+6)
// Ease_In_Out_Bounce
y = (x<0.5) ? (2(2x)^3-(2x)^2)*0.5 : 1-(2(2(1-x))^3-(2(1-x))^2)*0.5
y = (x<0.5) ? 8x^3-2x^2 : 8x^3-22x^2+20x-5
// Ease_In_Out_Bounce_2
y = (x<0.5) ? (3(2x)^3-2(2x)^2)*0.5 : 1-(3(2(1-x))^3-2(2(1-x))^2)*0.5
y = (x<0.5) ? 12x^3-4x^2 : 12x^3-32x^2+28x-7
// Ease_In_Out_Bounce_3
y = (x<0.5) ? (4(2x)^3-3(2x)^2)*0.5 : 1-(4(2(1-x))^3-3(2(1-x))^2)*0.5
y = (x<0.5) ? 16x^3-6x^2 : 16x^3-42x^2+36x-9You can see them in action in any plot service like http://fooplot.com/, or simply copy equation to Google search bar.
Planning to render a set of samples to be able to get interpolated values for performance considerations. As another option to cahce, render samples into a texture suitable for shader inputs. Also give full control over the values of these presets, option to blend different easings.
Licensed under the Open Source MIT license.