Doggie - A Cross-platform Library for Swift

Doggie is a foundational library for Apple's swift. It includes mathematics, accelerate, signal processing and graphicsrc="https://raw.github.com/SusanDoggie/Doggie/main/tions.

Apps Using This Library

Features

• accelerate, signal processing, fourier and convolution
• complex number, point, vector and 2D/3D transformation
• bezier curve
• polynomial
• color and color space
• shape and boolean operation

let shape = try Shape(code: "M100 0c0-100-236.60 36.60-150 86.60S36.60-136.60-50-86.60 100 100 100 0z")

let region = ShapeRegion(shape, winding: .nonZero)
let ellipse = ShapeRegion(ellipseIn: shape.boundary)

operation	preview
region.union(ellipse)
region.intersection(ellipse)
ellipse.subtracting(region)
region.subtracting(ellipse)
region.symmetricDifference(ellipse)

• font

let collection = try FontCollection(data: fontFileData)

if let font = collection.first?.with(size: 64) {

    let string = "Doggie\u{0301}".precomposedStringWithCanonicalMapping

    let glyphs = font.glyphs(with: string.unicodeScalars)
    let advances = glyphs.map { font.advance(forGlyph: $0) }.reductions(0, +)

    var shape = Shape()

    for (advance, glyph) in zip(advances, glyphs) {
        var outline = font.shape(forGlyph: glyph)
        outline.center.x += advance
        shape.append(contentsOf: outline.identity)
    }

    print(shape.encode())
}

• image and graphics with 2D/3D drawing

let context = ImageContext<ARGB32ColorPixel>(width: 100, height: 100, colorSpace: ColorSpace.sRGB)

let ellipse1 = Shape(ellipseIn: Rect(x: 10, y: 35, width: 55, height: 55))
let ellipse2 = Shape(ellipseIn: Rect(x: 35, y: 10, width: 55, height: 55))

context.draw(shape: ellipse1, winding: .nonZero, color: RGBColorModel(red: 247/255, green: 217/255, blue: 12/255))
context.draw(shape: ellipse1, stroke: Stroke(width: 1, cap: .round, join: .round, color: RGBColorModel()))
context.draw(shape: ellipse2, winding: .nonZero, color: RGBColorModel(red: 234/255, green: 24/255, blue: 71/255))
context.draw(shape: ellipse2, stroke: Stroke(width: 1, cap: .round, join: .round, color: RGBColorModel()))

let image: Image<ARGB32ColorPixel> = context.image

• others

<svg width="200" height="200" viewBox="0 0 220 220"
     xmlns="http://www.w3.org/2000/svg">
  <filter id="displacementFilter">
     <feTurbulence type="turbulence" baseFrequency="0.05"
        numOctaves="2" result="turbulence"/>
     <feDisplacementMap in2="turbulence" in="SourceGraphic"
        scale="50" xChannelSelector="R" yChannelSelector="G"/>
  </filter>

  <circle cx="100" cy="100" r="100"
     style="filter: url(#displacementFilter)"/>
</svg>

let context = ImageContext<Gray16ColorPixel>(width: 220, height: 220, colorSpace: .default)

context.draw(ellipseIn: Rect(x: 0, y: 0, width: 200, height: 200), color: .black)

var image = context.image

let turbulence: Image<RGBA32ColorPixel> = SVGTurbulence(220, 220, .turbulence, nil, .identity, 0, 0.05, 2)

image = DisplacementMap(image, turbulence, 0, 1, 50)

Documents

Documents can find in here.

Status

ColorSpace

Format

• ☑ ICC
• ☑ CIEXYZ
• ☑ CIELab
• ☑ CIELuv
• ☑ Calibrated Gray
• ☑ Calibrated RGB

Rendering Intent

• ☑ perceptual
• ☐ saturation
• ☑ absolute colorimetric
• ☑ relative colorimetric

ImageRep

• ☑ bmp
• ☐ gif
• ☑ jpeg
• ☐ jpeg2000
• ☑ png
• ☑ tiff
• ☑ webp

Font

Format

• ☑ TrueType
• ☑ TrueType/TTC
• ☑ OpenType
• ☑ OpenType/CFF
• ☐ OpenType/CFF2
• ☑ WOFF
• ☑ WOFF/CFF
• ☐ WOFF/CFF2
• ☐ WOFF2

SFNT Tables

• ☑ HEAD
• ☑ POST
• ☑ OS/2
• ☑ MAXP
• ☑ CMAP
• ☑ NAME
• ☑ HHEA
• ☑ HMTX
• ☑ VHEA
• ☑ VMTX
• ☑ LOCA
• ☑ GLYF
• ☑ SBIX
• ☑ FEAT
• ☐ KERX
• ☐ MORX
  • ☑ Rearrangement
  • ☑ Contextual
  • ☑ Ligature
  • ☑ Noncontextual
  • ☐ Insertion
• ☐ GSUB
• ☐ GPOS
• ☐ GDEF
• ☑ CFF
• ☐ CFF2

CMAP

Platform

The table below lists the available platform/specific values in the order.

platform	specific	Description
0	max( <= 4 )	Unicode
3	10	Windows, Unicode UCS-4
3	1	Windows, Unicode BMP (UCS-2)

Format

• ☑ Format 0
• ☑ Format 4
• ☑ Format 12
• ☑ Format 14 (Unicode Variation Selectors)

How To Contribute

It's welcome everyone to create a pull request.

License

Doggie is licensed under the MIT license.