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Grand test fixup (#138)

Browse source 
* start fixing up tests

* fix up tests + automate with drone

* fiddle with linting

* messing about with drone.yml

* some more fiddling

* hmmm

* add cache

* add vendor directory

* verbose

* ci updates

* update some little things

* update sig
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Tobi Smethurst 2021-08-12 21:03:24 +02:00 • committed by GitHub
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2677 changed files with 1090869 additions and 219 deletions
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.idea
coverage.txt

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language: go
go:
- 1.13.x
- 1.14.x
install:
- go get -t -v ./...
script:
- go test -race -coverprofile=coverage.txt -covermode=atomic ./...
after_success:
- bash <(curl -s https://codecov.io/bash)

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Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.

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# go-blurhash [![Build Status](https://travis-ci.org/buckket/go-blurhash.svg)](https://travis-ci.org/buckket/go-blurhash) [![Go Report Card](https://goreportcard.com/badge/github.com/buckket/go-blurhash)](https://goreportcard.com/report/github.com/buckket/go-blurhash) [![codecov](https://codecov.io/gh/buckket/go-blurhash/branch/master/graph/badge.svg)](https://codecov.io/gh/buckket/go-blurhash) [![GoDoc](https://godoc.org/github.com/buckket/go-blurhash?status.svg)](https://pkg.go.dev/github.com/buckket/go-blurhash)
**go-blurhash** is a pure Go implementation of the [BlurHash](https://github.com/woltapp/blurhash) algorithm, which is used by
[Mastodon](https://github.com/tootsuite/mastodon) an other Fediverse software to implement a swift way of preloading placeholder images as well
as hiding sensitive media. Read more about it [here](https://blog.joinmastodon.org/2019/05/improving-support-for-adult-content-on-mastodon/).
**tl;dr:** BlurHash is a compact representation of a placeholder for an image.
This library allows generating the BlurHash of a given image, as well as
reconstructing a blurred version with specified dimensions from a given BlurHash.
This library is based on the following reference implementations:
- Encoder: [https://github.com/woltapp/blurhash/blob/master/C](https://github.com/woltapp/blurhash/blob/master/C) (C)
- Deocder: [https://github.com/woltapp/blurhash/blob/master/TypeScript](https://github.com/woltapp/blurhash/blob/master/TypeScript) (TypeScript)
BlurHash is written by [Dag Ågren](https://github.com/DagAgren) / [Wolt](https://github.com/woltapp).
| | Before | After |
| ---------- |:------------------------------:| :-----------------------------:|
| **Image** | ![alt text][test] | "LFE.@D9F01_2%L%MIVD*9Goe-;WB" |
| **Hash** | "LFE.@D9F01_2%L%MIVD*9Goe-;WB" | ![alt text][test_blur]
[test]: test.png "Blurhash example input."
[test_blur]: test_blur.png "Blurhash example output"
## Installation
### From source
go get -u github.com/buckket/go-blurhash
## Usage
go-blurhash exports three functions:
```go
func blurhash.Encode(xComponents, yComponents int, rgba image.Image) (string, error)
func blurhash.Decode(hash string, width, height, punch int) (image.Image, error)
func blurhash.Components(hash string) (xComponents, yComponents int, err error)
```
Here’s a simple demonstration. Check [pkg.go.dev](https://pkg.go.dev/github.com/buckket/go-blurhash) for the full documentation.
```go
package main
import (
"fmt"
"github.com/buckket/go-blurhash"
"image/png"
"os"
)
func main() {
// Generate the BlurHash for a given image
imageFile, _ := os.Open("test.png")
loadedImage, err := png.Decode(imageFile)
str, _ := blurhash.Encode(4, 3, loadedImage)
if err != nil {
// Handle errors
}
fmt.Printf("Hash: %s\n", str)
// Generate an image for a given BlurHash
// Width will be 300px and Height will be 500px
// Punch specifies the contrasts and defaults to 1
img, err := blurhash.Decode(str, 300, 500, 1)
if err != nil {
// Handle errors
}
f, _ := os.Create("test_blur.png")
_ = png.Encode(f, img)
// Get the x and y components used for encoding a given BlurHash
x, y, err := blurhash.Components("LFE.@D9F01_2%L%MIVD*9Goe-;WB")
if err != nil {
// Handle errors
}
fmt.Printf("xComponents: %d, yComponents: %d", x, y)
}
```
## Limitations
- Presumably a bit slower than the C implementation (TODO: Benchmarks)
## Notes
- As mentioned [here](https://github.com/woltapp/blurhash#how-fast-is-encoding-decoding), it’s best to
generate very small images (~32x32px) via BlurHash and scale them up to the desired dimensions afterwards for optimal performance.
- Since [#2](https://github.com/buckket/go-blurhash/pull/2) we diverted from the reference implementation by memorizing sRGBtoLinear values, thus increasing encoding speed at the cost of higher memory usage.
- Starting with v1.1.0 the signature of blurhash.Encode() has changed slightly (see [#3](https://github.com/buckket/go-blurhash/issues/3)).
## License
GNU GPLv3+

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package base83
import (
"fmt"
"math"
"strings"
)
const characters = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz#$%*+,-.:;=?@[]^_{|}~"
// An InvalidCharacterError occurs when a characters is found which is not part of the Base83 character set.
type InvalidCharacterError rune
func (e InvalidCharacterError) Error() string {
return fmt.Sprintf("base83: invalid string (character %q out of range)", rune(e))
}
// An InvalidLengthError occurs when a given value cannot be encoded to a string of given length.
type InvalidLengthError int
func (e InvalidLengthError) Error() string {
return fmt.Sprintf("base83: invalid length (%d)", int(e))
}
// Encode will encode the given integer value to a Base83 string with given length.
// If length is too short to encode the given value InvalidLengthError will be returned.
func Encode(value, length int) (string, error) {
divisor := int(math.Pow(83, float64(length)))
if value/divisor != 0 {
return "", InvalidLengthError(length)
}
divisor /= 83
var str strings.Builder
str.Grow(length)
for i := 0; i < length; i++ {
if divisor <= 0 {
return "", InvalidLengthError(length)
}
digit := (value / divisor) % 83
divisor /= 83
str.WriteRune(rune(characters[digit]))
}
return str.String(), nil
}
// Decode will decode the given Base83 string to an integer.
func Decode(str string) (value int, err error) {
for _, r := range str {
idx := strings.IndexRune(characters, r)
if idx == -1 {
return 0, InvalidCharacterError(r)
}
value = value*83 + idx
}
return value, nil
}

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package blurhash
import (
"fmt"
"github.com/buckket/go-blurhash/base83"
"image"
"image/color"
"math"
)
// An InvalidHashError occurs when the given hash is either too short or the length does not match its size flag.
type InvalidHashError string
func (e InvalidHashError) Error() string {
return fmt.Sprintf("blurhash: %s", string(e))
}
// Components decodes and returns the number of x and y components in the given BlurHash.
func Components(hash string) (xComponents, yComponents int, err error) {
if len(hash) < 6 {
return 0, 0, InvalidHashError("hash is invalid (too short)")
}
sizeFlag, err := base83.Decode(string(hash[0]))
if err != nil {
return 0, 0, err
}
yComponents = (sizeFlag / 9) + 1
xComponents = (sizeFlag % 9) + 1
if len(hash) != 4+2*xComponents*yComponents {
return 0, 0, InvalidHashError("hash is invalid (length mismatch)")
}
return xComponents, yComponents, nil
}
// Decode generates an image of the given BlurHash with a size of width and height.
// Punch is a multiplier that adjusts the contrast of the resulting image.
func Decode(hash string, width, height, punch int) (image.Image, error) {
xComp, yComp, err := Components(hash)
if err != nil {
return nil, err
}
quantisedMaximumValue, err := base83.Decode(string(hash[1]))
if err != nil {
return nil, err
}
maximumValue := (float64(quantisedMaximumValue) + 1) / 166
if punch == 0 {
punch = 1
}
colors := make([][3]float64, xComp*yComp)
for i := range colors {
if i == 0 {
value, err := base83.Decode(hash[2:6])
if err != nil {
return nil, err
}
colors[i] = decodeDC(value)
} else {
value, err := base83.Decode(hash[4+i*2 : 6+i*2])
if err != nil {
return nil, err
}
colors[i] = decodeAC(value, maximumValue*float64(punch))
}
}
img := image.NewNRGBA(image.Rect(0, 0, width, height))
for y := 0; y < height; y++ {
for x := 0; x < width; x++ {
var r, g, b float64
for j := 0; j < yComp; j++ {
for i := 0; i < xComp; i++ {
basis := math.Cos(math.Pi*float64(x)*float64(i)/float64(width)) *
math.Cos(math.Pi*float64(y)*float64(j)/float64(height))
pcolor := colors[i+j*xComp]
r += pcolor[0] * basis
g += pcolor[1] * basis
b += pcolor[2] * basis
}
}
img.SetNRGBA(x, y, color.NRGBA{R: uint8(linearTosRGB(r)), G: uint8(linearTosRGB(g)), B: uint8(linearTosRGB(b)), A: 255})
}
}
return img, nil
}
func decodeDC(value int) [3]float64 {
return [3]float64{sRGBToLinear(value >> 16), sRGBToLinear(value >> 8 & 255), sRGBToLinear(value & 255)}
}
func decodeAC(value int, maximumValue float64) [3]float64 {
quantR := math.Floor(float64(value) / (19 * 19))
quantG := math.Mod(math.Floor(float64(value)/19), 19)
quantB := math.Mod(float64(value), 19)
sp := func(quant float64) float64 {
return signPow((quant-9)/9, 2.0) * maximumValue
}
return [3]float64{sp(quantR), sp(quantG), sp(quantB)}
}

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package blurhash
import (
"fmt"
"github.com/buckket/go-blurhash/base83"
"image"
"math"
"strings"
)
func init() {
initLinearTable(channelToLinear[:])
}
var channelToLinear [256]float64
func initLinearTable(table []float64) {
for i := range table {
channelToLinear[i] = sRGBToLinear(i)
}
}
// An InvalidParameterError occurs when an invalid argument is passed to either the Decode or Encode function.
type InvalidParameterError struct {
Value int
Parameter string
}
func (e InvalidParameterError) Error() string {
return fmt.Sprintf("blurhash: %sComponents (%d) must be element of [1-9]", e.Parameter, e.Value)
}
// An EncodingError represents an error that occurred during the encoding of the given value.
// This most likely means that your input image is invalid and can not be processed.
type EncodingError string
func (e EncodingError) Error() string {
return fmt.Sprintf("blurhash: %s", string(e))
}
// Encode calculates the Blurhash for an image using the given x and y component counts.
// The x and y components have to be between 1 and 9 respectively.
// The image must be of image.Image type.
func Encode(xComponents int, yComponents int, rgba image.Image) (string, error) {
if xComponents < 1 || xComponents > 9 {
return "", InvalidParameterError{xComponents, "x"}
}
if yComponents < 1 || yComponents > 9 {
return "", InvalidParameterError{yComponents, "y"}
}
var blurhash strings.Builder
blurhash.Grow(4 + 2*xComponents*yComponents)
// Size Flag
str, err := base83.Encode((xComponents-1)+(yComponents-1)*9, 1)
if err != nil {
return "", EncodingError("could not encode size flag")
}
blurhash.WriteString(str)
factors := make([]float64, yComponents*xComponents*3)
multiplyBasisFunction(rgba, factors, xComponents, yComponents)
var maximumValue float64
var quantisedMaximumValue int
var acCount = xComponents*yComponents - 1
if acCount > 0 {
var actualMaximumValue float64
for i := 0; i < acCount*3; i++ {
actualMaximumValue = math.Max(math.Abs(factors[i+3]), actualMaximumValue)
}
quantisedMaximumValue = int(math.Max(0, math.Min(82, math.Floor(actualMaximumValue*166-0.5))))
maximumValue = (float64(quantisedMaximumValue) + 1) / 166
} else {
maximumValue = 1
}
// Quantised max AC component
str, err = base83.Encode(quantisedMaximumValue, 1)
if err != nil {
return "", EncodingError("could not encode quantised max AC component")
}
blurhash.WriteString(str)
// DC value
str, err = base83.Encode(encodeDC(factors[0], factors[1], factors[2]), 4)
if err != nil {
return "", EncodingError("could not encode DC value")
}
blurhash.WriteString(str)
// AC values
for i := 0; i < acCount; i++ {
str, err = base83.Encode(encodeAC(factors[3+(i*3+0)], factors[3+(i*3+1)], factors[3+(i*3+2)], maximumValue), 2)
if err != nil {
return "", EncodingError("could not encode AC value")
}
blurhash.WriteString(str)
}
if blurhash.Len() != 4+2*xComponents*yComponents {
return "", EncodingError("hash does not match expected size")
}
return blurhash.String(), nil
}
func multiplyBasisFunction(rgba image.Image, factors []float64, xComponents int, yComponents int) {
height := rgba.Bounds().Max.Y
width := rgba.Bounds().Max.X
xvalues := make([][]float64, xComponents)
for xComponent := 0; xComponent < xComponents; xComponent++ {
xvalues[xComponent] = make([]float64, width)
for x := 0; x < width; x++ {
xvalues[xComponent][x] = math.Cos(math.Pi * float64(xComponent) * float64(x) / float64(width))
}
}
yvalues := make([][]float64, yComponents)
for yComponent := 0; yComponent < yComponents; yComponent++ {
yvalues[yComponent] = make([]float64, height)
for y := 0; y < height; y++ {
yvalues[yComponent][y] = math.Cos(math.Pi * float64(yComponent) * float64(y) / float64(height))
}
}
for y := 0; y < height; y++ {
for x := 0; x < width; x++ {
rt, gt, bt, _ := rgba.At(x, y).RGBA()
lr := channelToLinear[rt>>8]
lg := channelToLinear[gt>>8]
lb := channelToLinear[bt>>8]
for yc := 0; yc < yComponents; yc++ {
for xc := 0; xc < xComponents; xc++ {
scale := 1 / float64(width*height)
if xc != 0 || yc != 0 {
scale = 2 / float64(width*height)
}
basis := xvalues[xc][x] * yvalues[yc][y]
factors[0+xc*3+yc*3*xComponents] += lr * basis * scale
factors[1+xc*3+yc*3*xComponents] += lg * basis * scale
factors[2+xc*3+yc*3*xComponents] += lb * basis * scale
}
}
}
}
}
func encodeDC(r, g, b float64) int {
return (linearTosRGB(r) << 16) + (linearTosRGB(g) << 8) + linearTosRGB(b)
}
func encodeAC(r, g, b, maximumValue float64) int {
quant := func(f float64) int {
return int(math.Max(0, math.Min(18, math.Floor(signPow(f/maximumValue, 0.5)*9+9.5))))
}
return quant(r)*19*19 + quant(g)*19 + quant(b)
}

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module github.com/buckket/go-blurhash
go 1.14

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package blurhash
import "math"
func linearTosRGB(value float64) int {
v := math.Max(0, math.Min(1, value))
if v <= 0.0031308 {
return int(v*12.92*255 + 0.5)
}
return int((1.055*math.Pow(v, 1/2.4)-0.055)*255 + 0.5)
}
func sRGBToLinear(value int) float64 {
v := float64(value) / 255
if v <= 0.04045 {
return v / 12.92
}
return math.Pow((v+0.055)/1.055, 2.4)
}
func signPow(value, exp float64) float64 {
return math.Copysign(math.Pow(math.Abs(value), exp), value)
}