mirror of
https://github.com/mattermost/mattermost.git
synced 2025-02-25 18:55:24 -06:00
Update nfnt/resize library to the most recent version (as of July 20)
This commit is contained in:
2
Godeps/Godeps.json
generated
2
Godeps/Godeps.json
generated
@@ -100,7 +100,7 @@
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},
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{
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"ImportPath": "github.com/nfnt/resize",
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"Rev": "f2d1b73023c55bdfb4fa2ed385d2bec95bce3692"
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"Rev": "dc93e1b98c579d90ee2fa15c1fd6dac34f6e7899"
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},
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{
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"ImportPath": "github.com/stretchr/objx",
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6
Godeps/_workspace/src/github.com/nfnt/resize/converter.go
generated
vendored
6
Godeps/_workspace/src/github.com/nfnt/resize/converter.go
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@@ -131,11 +131,11 @@ func resizeRGBA(in *image.RGBA, out *image.NRGBA, scale float64, coeffs []int16,
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// reverse alpha-premultiplication.
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if a != 0 {
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r *= 0xffff
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r *= 0xff
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r /= a
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g *= 0xffff
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g *= 0xff
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g /= a
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b *= 0xffff
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b *= 0xff
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b /= a
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}
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4
Godeps/_workspace/src/github.com/nfnt/resize/resize.go
generated
vendored
4
Godeps/_workspace/src/github.com/nfnt/resize/resize.go
generated
vendored
@@ -167,7 +167,7 @@ func Resize(width, height uint, img image.Image, interp InterpolationFunction) i
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// accessing the YCbCr arrays in a tight loop is slow.
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// converting the image to ycc increases performance by 2x.
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temp := newYCC(image.Rect(0, 0, input.Bounds().Dy(), int(width)), input.SubsampleRatio)
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result := newYCC(image.Rect(0, 0, int(width), int(height)), input.SubsampleRatio)
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result := newYCC(image.Rect(0, 0, int(width), int(height)), image.YCbCrSubsampleRatio444)
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coeffs, offset, filterLength := createWeights8(temp.Bounds().Dy(), taps, blur, scaleX, kernel)
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in := imageYCbCrToYCC(input)
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@@ -409,7 +409,7 @@ func resizeNearest(width, height uint, scaleX, scaleY float64, img image.Image,
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// accessing the YCbCr arrays in a tight loop is slow.
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// converting the image to ycc increases performance by 2x.
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temp := newYCC(image.Rect(0, 0, input.Bounds().Dy(), int(width)), input.SubsampleRatio)
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result := newYCC(image.Rect(0, 0, int(width), int(height)), input.SubsampleRatio)
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result := newYCC(image.Rect(0, 0, int(width), int(height)), image.YCbCrSubsampleRatio444)
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coeffs, offset, filterLength := createWeightsNearest(temp.Bounds().Dy(), taps, blur, scaleX)
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in := imageYCbCrToYCC(input)
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96
Godeps/_workspace/src/github.com/nfnt/resize/resize_test.go
generated
vendored
96
Godeps/_workspace/src/github.com/nfnt/resize/resize_test.go
generated
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@@ -46,7 +46,7 @@ func Test_CorrectResize(t *testing.T) {
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}
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}
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func Test_SameColor(t *testing.T) {
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func Test_SameColorWithRGBA(t *testing.T) {
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img := image.NewRGBA(image.Rect(0, 0, 20, 20))
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for y := img.Bounds().Min.Y; y < img.Bounds().Max.Y; y++ {
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for x := img.Bounds().Min.X; x < img.Bounds().Max.X; x++ {
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@@ -56,9 +56,99 @@ func Test_SameColor(t *testing.T) {
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out := Resize(10, 10, img, Lanczos3)
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for y := out.Bounds().Min.Y; y < out.Bounds().Max.Y; y++ {
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for x := out.Bounds().Min.X; x < out.Bounds().Max.X; x++ {
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color := img.At(x, y).(color.RGBA)
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color := out.At(x, y).(color.NRGBA)
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if color.R != 0x80 || color.G != 0x80 || color.B != 0x80 || color.A != 0xFF {
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t.Fail()
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t.Errorf("%+v", color)
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}
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}
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}
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}
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func Test_SameColorWithNRGBA(t *testing.T) {
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img := image.NewNRGBA(image.Rect(0, 0, 20, 20))
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for y := img.Bounds().Min.Y; y < img.Bounds().Max.Y; y++ {
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for x := img.Bounds().Min.X; x < img.Bounds().Max.X; x++ {
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img.SetNRGBA(x, y, color.NRGBA{0x80, 0x80, 0x80, 0xFF})
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}
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}
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out := Resize(10, 10, img, Lanczos3)
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for y := out.Bounds().Min.Y; y < out.Bounds().Max.Y; y++ {
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for x := out.Bounds().Min.X; x < out.Bounds().Max.X; x++ {
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color := out.At(x, y).(color.NRGBA)
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if color.R != 0x80 || color.G != 0x80 || color.B != 0x80 || color.A != 0xFF {
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t.Errorf("%+v", color)
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}
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}
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}
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}
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func Test_SameColorWithRGBA64(t *testing.T) {
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img := image.NewRGBA64(image.Rect(0, 0, 20, 20))
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for y := img.Bounds().Min.Y; y < img.Bounds().Max.Y; y++ {
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for x := img.Bounds().Min.X; x < img.Bounds().Max.X; x++ {
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img.SetRGBA64(x, y, color.RGBA64{0x8000, 0x8000, 0x8000, 0xFFFF})
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}
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}
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out := Resize(10, 10, img, Lanczos3)
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for y := out.Bounds().Min.Y; y < out.Bounds().Max.Y; y++ {
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for x := out.Bounds().Min.X; x < out.Bounds().Max.X; x++ {
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color := out.At(x, y).(color.NRGBA64)
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if color.R != 0x8000 || color.G != 0x8000 || color.B != 0x8000 || color.A != 0xFFFF {
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t.Errorf("%+v", color)
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}
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}
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}
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}
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func Test_SameColorWithNRGBA64(t *testing.T) {
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img := image.NewNRGBA64(image.Rect(0, 0, 20, 20))
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for y := img.Bounds().Min.Y; y < img.Bounds().Max.Y; y++ {
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for x := img.Bounds().Min.X; x < img.Bounds().Max.X; x++ {
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img.SetNRGBA64(x, y, color.NRGBA64{0x8000, 0x8000, 0x8000, 0xFFFF})
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}
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}
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out := Resize(10, 10, img, Lanczos3)
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for y := out.Bounds().Min.Y; y < out.Bounds().Max.Y; y++ {
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for x := out.Bounds().Min.X; x < out.Bounds().Max.X; x++ {
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color := out.At(x, y).(color.NRGBA64)
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if color.R != 0x8000 || color.G != 0x8000 || color.B != 0x8000 || color.A != 0xFFFF {
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t.Errorf("%+v", color)
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}
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}
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}
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}
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func Test_SameColorWithGray(t *testing.T) {
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img := image.NewGray(image.Rect(0, 0, 20, 20))
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for y := img.Bounds().Min.Y; y < img.Bounds().Max.Y; y++ {
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for x := img.Bounds().Min.X; x < img.Bounds().Max.X; x++ {
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img.SetGray(x, y, color.Gray{0x80})
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}
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}
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out := Resize(10, 10, img, Lanczos3)
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for y := out.Bounds().Min.Y; y < out.Bounds().Max.Y; y++ {
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for x := out.Bounds().Min.X; x < out.Bounds().Max.X; x++ {
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color := out.At(x, y).(color.Gray)
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if color.Y != 0x80 {
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t.Errorf("%+v", color)
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}
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}
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}
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}
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func Test_SameColorWithGray16(t *testing.T) {
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img := image.NewGray16(image.Rect(0, 0, 20, 20))
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for y := img.Bounds().Min.Y; y < img.Bounds().Max.Y; y++ {
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for x := img.Bounds().Min.X; x < img.Bounds().Max.X; x++ {
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img.SetGray16(x, y, color.Gray16{0x8000})
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}
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}
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out := Resize(10, 10, img, Lanczos3)
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for y := out.Bounds().Min.Y; y < out.Bounds().Max.Y; y++ {
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for x := out.Bounds().Min.X; x < out.Bounds().Max.X; x++ {
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color := out.At(x, y).(color.Gray16)
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if color.Y != 0x8000 {
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t.Errorf("%+v", color)
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}
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}
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}
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