go-resize/resize_test.go

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package resize
import (
"image"
"image/color"
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"runtime"
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"testing"
)
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var img = image.NewGray16(image.Rect(0, 0, 3, 3))
func init() {
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runtime.GOMAXPROCS(runtime.NumCPU())
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img.Set(1, 1, color.White)
}
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func Test_Param1(t *testing.T) {
m := Resize(0, 0, img, NearestNeighbor)
if m.Bounds() != img.Bounds() {
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t.Fail()
}
}
func Test_Param2(t *testing.T) {
m := Resize(100, 0, img, NearestNeighbor)
if m.Bounds() != image.Rect(0, 0, 100, 100) {
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t.Fail()
}
}
func Test_ZeroImg(t *testing.T) {
zeroImg := image.NewGray16(image.Rect(0, 0, 0, 0))
m := Resize(0, 0, zeroImg, NearestNeighbor)
if m.Bounds() != zeroImg.Bounds() {
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t.Fail()
}
}
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func Test_CorrectResize(t *testing.T) {
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zeroImg := image.NewGray16(image.Rect(0, 0, 256, 256))
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m := Resize(60, 0, zeroImg, NearestNeighbor)
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if m.Bounds() != image.Rect(0, 0, 60, 60) {
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t.Fail()
}
}
func Test_SameColor(t *testing.T) {
img := image.NewRGBA(image.Rect(0, 0, 20, 20))
for y := img.Bounds().Min.Y; y < img.Bounds().Max.Y; y++ {
for x := img.Bounds().Min.X; x < img.Bounds().Max.X; x++ {
img.SetRGBA(x, y, color.RGBA{0x80, 0x80, 0x80, 0xFF})
}
}
out := Resize(10, 10, img, Lanczos3)
for y := out.Bounds().Min.Y; y < out.Bounds().Max.Y; y++ {
for x := out.Bounds().Min.X; x < out.Bounds().Max.X; x++ {
color := img.At(x, y).(color.RGBA)
if color.R != 0x80 || color.G != 0x80 || color.B != 0x80 || color.A != 0xFF {
t.Fail()
}
}
}
}
func Test_Bounds(t *testing.T) {
img := image.NewRGBA(image.Rect(20, 10, 200, 99))
out := Resize(80, 80, img, Lanczos2)
out.At(0, 0)
}
func Test_SameSizeReturnsOriginal(t *testing.T) {
img := image.NewRGBA(image.Rect(0, 0, 10, 10))
out := Resize(0, 0, img, Lanczos2)
if img != out {
t.Fail()
}
out = Resize(10, 10, img, Lanczos2)
if img != out {
t.Fail()
}
}
func Benchmark_BigResizeLanczos3(b *testing.B) {
var m image.Image
for i := 0; i < b.N; i++ {
m = Resize(1000, 1000, img, Lanczos3)
}
m.At(0, 0)
}
func Benchmark_Reduction(b *testing.B) {
largeImg := image.NewRGBA(image.Rect(0, 0, 1000, 1000))
var m image.Image
for i := 0; i < b.N; i++ {
m = Resize(300, 300, largeImg, Bicubic)
}
m.At(0, 0)
}
// Benchmark resize of 16 MPix jpeg image to 800px width.
func jpegThumb(b *testing.B, interp InterpolationFunction) {
input := image.NewYCbCr(image.Rect(0, 0, 4896, 3264), image.YCbCrSubsampleRatio422)
var output image.Image
for i := 0; i < b.N; i++ {
output = Resize(800, 0, input, interp)
}
output.At(0, 0)
}
func Benchmark_LargeJpegThumbNearestNeighbor(b *testing.B) {
jpegThumb(b, NearestNeighbor)
}
func Benchmark_LargeJpegThumbBilinear(b *testing.B) {
jpegThumb(b, Bilinear)
}
func Benchmark_LargeJpegThumbBicubic(b *testing.B) {
jpegThumb(b, Bicubic)
}
func Benchmark_LargeJpegThumbMitchellNetravali(b *testing.B) {
jpegThumb(b, MitchellNetravali)
}
func Benchmark_LargeJpegThumbLanczos2(b *testing.B) {
jpegThumb(b, Lanczos2)
}
func Benchmark_LargeJpegThumbLanczos3(b *testing.B) {
jpegThumb(b, Lanczos3)
}