pixie/tests/benchmark_images.nim
Ryan Oldenburg e16fcb595d benchmark
2021-06-17 21:25:54 -05:00

100 lines
1.7 KiB
Nim

import benchy, chroma, pixie, pixie/internal
let image = newImage(2560, 1440)
proc reset() =
image.fill(rgba(63, 127, 191, 191))
reset()
timeIt "fill":
image.fill(rgba(255, 255, 255, 255))
doAssert image[0, 0] == rgba(255, 255, 255, 255)
reset()
timeIt "fill_rgba":
image.fill(rgba(63, 127, 191, 191))
doAssert image[0, 0] == rgba(63, 127, 191, 191)
reset()
timeIt "subImage":
keep image.subImage(0, 0, 256, 256)
reset()
timeIt "superImage":
keep image.superImage(-10, -10, 2580, 1460)
reset()
timeIt "minifyBy2":
let minified = image.minifyBy2()
doAssert minified[0, 0] == rgba(63, 127, 191, 191)
timeIt "magnifyBy2":
let minified = image.magnifyBy2()
doAssert minified[0, 0] == rgba(63, 127, 191, 191)
reset()
timeIt "invert":
image.invert()
reset()
timeIt "applyOpacity":
image.applyOpacity(0.5)
reset()
timeIt "toPremultipliedAlpha":
image.data.toPremultipliedAlpha()
reset()
timeIt "toStraightAlpha":
image.data.toStraightAlpha()
reset()
block:
var path: Path
path.ellipse(image.width / 2, image.height / 2, 300, 300)
let mask = newMask(image.width, image.height)
mask.fillPath(path)
timeIt "mask":
image.draw(mask)
reset()
timeIt "newMask":
let mask = image.newMask()
doAssert mask[0, 0] == image[0, 0].a
reset()
timeIt "blur":
image.blur(40)
reset()
timeIt "lerp integers":
for i in 0 ..< 100000:
let c = image[0, 0]
var z: int
for t in 0 .. 100:
z += lerp(c, c, t.float32 / 100).a.int
doAssert z > 0
timeIt "lerp floats":
for i in 0 ..< 100000:
let c = image[0, 0]
var z: int
for t in 0 .. 100:
z += lerp(c.color, c.color, t.float32 / 100).rgba().a.int
doAssert z > 0