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authorValentin Popov <valentin@popov.link>2024-01-08 00:21:28 +0300
committerValentin Popov <valentin@popov.link>2024-01-08 00:21:28 +0300
commit1b6a04ca5504955c571d1c97504fb45ea0befee4 (patch)
tree7579f518b23313e8a9748a88ab6173d5e030b227 /vendor/image/src/codecs/jpeg/decoder.rs
parent5ecd8cf2cba827454317368b68571df0d13d7842 (diff)
downloadfparkan-1b6a04ca5504955c571d1c97504fb45ea0befee4.tar.xz
fparkan-1b6a04ca5504955c571d1c97504fb45ea0befee4.zip
Initial vendor packages
Signed-off-by: Valentin Popov <valentin@popov.link>
Diffstat (limited to 'vendor/image/src/codecs/jpeg/decoder.rs')
-rw-r--r--vendor/image/src/codecs/jpeg/decoder.rs1289
1 files changed, 1289 insertions, 0 deletions
diff --git a/vendor/image/src/codecs/jpeg/decoder.rs b/vendor/image/src/codecs/jpeg/decoder.rs
new file mode 100644
index 0000000..9625e33
--- /dev/null
+++ b/vendor/image/src/codecs/jpeg/decoder.rs
@@ -0,0 +1,1289 @@
+use std::convert::TryFrom;
+use std::io::{self, Cursor, Read};
+use std::marker::PhantomData;
+use std::mem;
+
+use crate::color::ColorType;
+use crate::error::{
+ DecodingError, ImageError, ImageResult, UnsupportedError, UnsupportedErrorKind,
+};
+use crate::image::{ImageDecoder, ImageFormat};
+
+/// JPEG decoder
+pub struct JpegDecoder<R> {
+ decoder: jpeg::Decoder<R>,
+ metadata: jpeg::ImageInfo,
+}
+
+impl<R: Read> JpegDecoder<R> {
+ /// Create a new decoder that decodes from the stream ```r```
+ pub fn new(r: R) -> ImageResult<JpegDecoder<R>> {
+ let mut decoder = jpeg::Decoder::new(r);
+
+ decoder.read_info().map_err(ImageError::from_jpeg)?;
+ let mut metadata = decoder.info().ok_or_else(|| {
+ ImageError::Decoding(DecodingError::from_format_hint(ImageFormat::Jpeg.into()))
+ })?;
+
+ // We convert CMYK data to RGB before returning it to the user.
+ if metadata.pixel_format == jpeg::PixelFormat::CMYK32 {
+ metadata.pixel_format = jpeg::PixelFormat::RGB24;
+ }
+
+ Ok(JpegDecoder { decoder, metadata })
+ }
+
+ /// Configure the decoder to scale the image during decoding.
+ ///
+ /// This efficiently scales the image by the smallest supported
+ /// scale factor that produces an image larger than or equal to
+ /// the requested size in at least one axis. The currently
+ /// implemented scale factors are 1/8, 1/4, 1/2 and 1.
+ ///
+ /// To generate a thumbnail of an exact size, pass the desired
+ /// size and then scale to the final size using a traditional
+ /// resampling algorithm.
+ ///
+ /// The size of the image to be loaded, with the scale factor
+ /// applied, is returned.
+ pub fn scale(
+ &mut self,
+ requested_width: u16,
+ requested_height: u16,
+ ) -> ImageResult<(u16, u16)> {
+ let result = self
+ .decoder
+ .scale(requested_width, requested_height)
+ .map_err(ImageError::from_jpeg)?;
+
+ self.metadata.width = result.0;
+ self.metadata.height = result.1;
+
+ Ok(result)
+ }
+}
+
+/// Wrapper struct around a `Cursor<Vec<u8>>`
+pub struct JpegReader<R>(Cursor<Vec<u8>>, PhantomData<R>);
+impl<R> Read for JpegReader<R> {
+ fn read(&mut self, buf: &mut [u8]) -> io::Result<usize> {
+ self.0.read(buf)
+ }
+ fn read_to_end(&mut self, buf: &mut Vec<u8>) -> io::Result<usize> {
+ if self.0.position() == 0 && buf.is_empty() {
+ mem::swap(buf, self.0.get_mut());
+ Ok(buf.len())
+ } else {
+ self.0.read_to_end(buf)
+ }
+ }
+}
+
+impl<'a, R: 'a + Read> ImageDecoder<'a> for JpegDecoder<R> {
+ type Reader = JpegReader<R>;
+
+ fn dimensions(&self) -> (u32, u32) {
+ (
+ u32::from(self.metadata.width),
+ u32::from(self.metadata.height),
+ )
+ }
+
+ fn color_type(&self) -> ColorType {
+ ColorType::from_jpeg(self.metadata.pixel_format)
+ }
+
+ fn icc_profile(&mut self) -> Option<Vec<u8>> {
+ self.decoder.icc_profile()
+ }
+
+ fn into_reader(mut self) -> ImageResult<Self::Reader> {
+ let mut data = self.decoder.decode().map_err(ImageError::from_jpeg)?;
+ data = match self.decoder.info().unwrap().pixel_format {
+ jpeg::PixelFormat::CMYK32 => cmyk_to_rgb(&data),
+ _ => data,
+ };
+
+ Ok(JpegReader(Cursor::new(data), PhantomData))
+ }
+
+ fn read_image(mut self, buf: &mut [u8]) -> ImageResult<()> {
+ assert_eq!(u64::try_from(buf.len()), Ok(self.total_bytes()));
+
+ let mut data = self.decoder.decode().map_err(ImageError::from_jpeg)?;
+ data = match self.decoder.info().unwrap().pixel_format {
+ jpeg::PixelFormat::CMYK32 => cmyk_to_rgb(&data),
+ _ => data,
+ };
+
+ buf.copy_from_slice(&data);
+ Ok(())
+ }
+}
+
+fn cmyk_to_rgb(input: &[u8]) -> Vec<u8> {
+ let count = input.len() / 4;
+ let mut output = vec![0; 3 * count];
+
+ let in_pixels = input[..4 * count].chunks_exact(4);
+ let out_pixels = output[..3 * count].chunks_exact_mut(3);
+
+ for (pixel, outp) in in_pixels.zip(out_pixels) {
+ let c = 255 - u16::from(pixel[0]);
+ let m = 255 - u16::from(pixel[1]);
+ let y = 255 - u16::from(pixel[2]);
+ let k = 255 - u16::from(pixel[3]);
+ // CMY -> RGB
+ let r = (k * c) / 255;
+ let g = (k * m) / 255;
+ let b = (k * y) / 255;
+
+ outp[0] = r as u8;
+ outp[1] = g as u8;
+ outp[2] = b as u8;
+ }
+
+ output
+}
+
+impl ColorType {
+ fn from_jpeg(pixel_format: jpeg::PixelFormat) -> ColorType {
+ use jpeg::PixelFormat::*;
+ match pixel_format {
+ L8 => ColorType::L8,
+ L16 => ColorType::L16,
+ RGB24 => ColorType::Rgb8,
+ CMYK32 => panic!(),
+ }
+ }
+}
+
+impl ImageError {
+ fn from_jpeg(err: jpeg::Error) -> ImageError {
+ use jpeg::Error::*;
+ match err {
+ err @ Format(_) => {
+ ImageError::Decoding(DecodingError::new(ImageFormat::Jpeg.into(), err))
+ }
+ Unsupported(desc) => ImageError::Unsupported(UnsupportedError::from_format_and_kind(
+ ImageFormat::Jpeg.into(),
+ UnsupportedErrorKind::GenericFeature(format!("{:?}", desc)),
+ )),
+ Io(err) => ImageError::IoError(err),
+ Internal(err) => {
+ ImageError::Decoding(DecodingError::new(ImageFormat::Jpeg.into(), err))
+ }
+ }
+ }
+}
+
+#[cfg(test)]
+mod tests {
+ #[cfg(feature = "benchmarks")]
+ extern crate test;
+
+ use super::cmyk_to_rgb;
+ #[cfg(feature = "benchmarks")]
+ use test::Bencher;
+
+ #[cfg(feature = "benchmarks")]
+ const W: usize = 256;
+ #[cfg(feature = "benchmarks")]
+ const H: usize = 256;
+
+ #[test]
+ fn cmyk_to_rgb_correct() {
+ for c in 0..=255 {
+ for k in 0..=255 {
+ // Based on R = 255 * (1-C/255) * (1-K/255)
+ let r = (255.0 - f32::from(c)) * (255.0 - f32::from(k)) / 255.0;
+ let r_u8 = r as u8;
+ let convert_r = cmyk_to_rgb(&[c, 0, 0, k])[0];
+ let convert_g = cmyk_to_rgb(&[0, c, 0, k])[1];
+ let convert_b = cmyk_to_rgb(&[0, 0, c, k])[2];
+
+ assert_eq!(
+ convert_r, r_u8,
+ "c = {}, k = {}, cymk_to_rgb[0] = {}, should be {}",
+ c, k, convert_r, r_u8
+ );
+ assert_eq!(
+ convert_g, r_u8,
+ "m = {}, k = {}, cymk_to_rgb[1] = {}, should be {}",
+ c, k, convert_g, r_u8
+ );
+ assert_eq!(
+ convert_b, r_u8,
+ "y = {}, k = {}, cymk_to_rgb[2] = {}, should be {}",
+ c, k, convert_b, r_u8
+ );
+ }
+ }
+ }
+
+ fn single_pix_correct(cmyk_pix: [u8; 4], rgb_pix_true: [u8; 3]) {
+ let rgb_pix = cmyk_to_rgb(&cmyk_pix);
+ assert_eq!(
+ rgb_pix_true[0], rgb_pix[0],
+ "With CMYK {:?} expected {:?}, got {:?}",
+ cmyk_pix, rgb_pix_true, rgb_pix
+ );
+ assert_eq!(
+ rgb_pix_true[1], rgb_pix[1],
+ "With CMYK {:?} expected {:?}, got {:?}",
+ cmyk_pix, rgb_pix_true, rgb_pix
+ );
+ assert_eq!(
+ rgb_pix_true[2], rgb_pix[2],
+ "With CMYK {:?} expected {:?}, got {:?}",
+ cmyk_pix, rgb_pix_true, rgb_pix
+ );
+ }
+
+ #[test]
+ fn test_assorted_colors() {
+ let cmyk_pixels = vec![
+ [0, 51, 102, 65],
+ [153, 204, 0, 65],
+ [0, 0, 0, 67],
+ [0, 85, 170, 69],
+ [0, 0, 0, 71],
+ [0, 0, 0, 73],
+ [0, 17, 34, 75],
+ [51, 68, 85, 75],
+ [102, 119, 136, 75],
+ [153, 170, 187, 75],
+ [204, 221, 238, 75],
+ [0, 0, 0, 77],
+ [0, 0, 0, 79],
+ [0, 85, 170, 81],
+ [0, 0, 0, 83],
+ [0, 3, 6, 85],
+ [9, 12, 15, 85],
+ [18, 21, 24, 85],
+ [27, 30, 33, 85],
+ [36, 39, 42, 85],
+ [45, 48, 51, 85],
+ [54, 57, 60, 85],
+ [63, 66, 69, 85],
+ [72, 75, 78, 85],
+ [81, 84, 87, 85],
+ [90, 93, 96, 85],
+ [99, 102, 105, 85],
+ [108, 111, 114, 85],
+ [117, 120, 123, 85],
+ [126, 129, 132, 85],
+ [135, 138, 141, 85],
+ [144, 147, 150, 85],
+ [153, 156, 159, 85],
+ [162, 165, 168, 85],
+ [171, 174, 177, 85],
+ [180, 183, 186, 85],
+ [189, 192, 195, 85],
+ [198, 201, 204, 85],
+ [207, 210, 213, 85],
+ [216, 219, 222, 85],
+ [225, 228, 231, 85],
+ [234, 237, 240, 85],
+ [243, 246, 249, 85],
+ [252, 0, 0, 85],
+ [0, 85, 170, 87],
+ [0, 0, 0, 89],
+ [0, 0, 0, 91],
+ [0, 85, 170, 93],
+ [0, 51, 102, 95],
+ [153, 204, 0, 95],
+ [0, 0, 0, 97],
+ [0, 85, 170, 99],
+ [0, 0, 0, 101],
+ [0, 0, 0, 103],
+ [0, 17, 34, 105],
+ [51, 68, 85, 105],
+ [102, 119, 136, 105],
+ [153, 170, 187, 105],
+ [204, 221, 238, 105],
+ [0, 0, 0, 107],
+ [0, 0, 0, 109],
+ [0, 85, 170, 111],
+ [0, 0, 0, 113],
+ [0, 51, 102, 115],
+ [153, 204, 0, 115],
+ [0, 85, 170, 117],
+ [0, 15, 30, 119],
+ [45, 60, 75, 119],
+ [90, 105, 120, 119],
+ [135, 150, 165, 119],
+ [180, 195, 210, 119],
+ [225, 240, 0, 119],
+ [0, 0, 0, 121],
+ [0, 85, 170, 123],
+ [0, 51, 102, 125],
+ [153, 204, 0, 125],
+ [0, 0, 0, 127],
+ [0, 0, 0, 128],
+ [0, 85, 170, 129],
+ [0, 51, 102, 130],
+ [153, 204, 0, 130],
+ [0, 0, 0, 131],
+ [0, 85, 170, 132],
+ [0, 0, 0, 133],
+ [0, 0, 0, 134],
+ [0, 17, 34, 135],
+ [51, 68, 85, 135],
+ [102, 119, 136, 135],
+ [153, 170, 187, 135],
+ [204, 221, 238, 135],
+ [0, 15, 30, 136],
+ [45, 60, 75, 136],
+ [90, 105, 120, 136],
+ [135, 150, 165, 136],
+ [180, 195, 210, 136],
+ [225, 240, 0, 136],
+ [0, 0, 0, 137],
+ [0, 85, 170, 138],
+ [0, 0, 0, 139],
+ [0, 51, 102, 140],
+ [153, 204, 0, 140],
+ [0, 85, 170, 141],
+ [0, 0, 0, 142],
+ [0, 0, 0, 143],
+ [0, 85, 170, 144],
+ [0, 51, 102, 145],
+ [153, 204, 0, 145],
+ [0, 0, 0, 146],
+ [0, 85, 170, 147],
+ [0, 0, 0, 148],
+ [0, 0, 0, 149],
+ [0, 17, 34, 150],
+ [51, 68, 85, 150],
+ [102, 119, 136, 150],
+ [153, 170, 187, 150],
+ [204, 221, 238, 150],
+ [0, 0, 0, 151],
+ [0, 0, 0, 152],
+ [0, 5, 10, 153],
+ [15, 20, 25, 153],
+ [30, 35, 40, 153],
+ [45, 50, 55, 153],
+ [60, 65, 70, 153],
+ [75, 80, 85, 153],
+ [90, 95, 100, 153],
+ [105, 110, 115, 153],
+ [120, 125, 130, 153],
+ [135, 140, 145, 153],
+ [150, 155, 160, 153],
+ [165, 170, 175, 153],
+ [180, 185, 190, 153],
+ [195, 200, 205, 153],
+ [210, 215, 220, 153],
+ [225, 230, 235, 153],
+ [240, 245, 250, 153],
+ [0, 0, 0, 154],
+ [0, 51, 102, 155],
+ [153, 204, 0, 155],
+ [0, 85, 170, 156],
+ [0, 0, 0, 157],
+ [0, 0, 0, 158],
+ [0, 85, 170, 159],
+ [0, 51, 102, 160],
+ [153, 204, 0, 160],
+ [0, 0, 0, 161],
+ [0, 85, 170, 162],
+ [0, 0, 0, 163],
+ [0, 0, 0, 164],
+ [0, 17, 34, 165],
+ [51, 68, 85, 165],
+ [102, 119, 136, 165],
+ [153, 170, 187, 165],
+ [204, 221, 238, 165],
+ [0, 0, 0, 166],
+ [0, 0, 0, 167],
+ [0, 85, 170, 168],
+ [0, 0, 0, 169],
+ [0, 3, 6, 170],
+ [9, 12, 15, 170],
+ [18, 21, 24, 170],
+ [27, 30, 33, 170],
+ [36, 39, 42, 170],
+ [45, 48, 51, 170],
+ [54, 57, 60, 170],
+ [63, 66, 69, 170],
+ [72, 75, 78, 170],
+ [81, 84, 87, 170],
+ [90, 93, 96, 170],
+ [99, 102, 105, 170],
+ [108, 111, 114, 170],
+ [117, 120, 123, 170],
+ [126, 129, 132, 170],
+ [135, 138, 141, 170],
+ [144, 147, 150, 170],
+ [153, 156, 159, 170],
+ [162, 165, 168, 170],
+ [171, 174, 177, 170],
+ [180, 183, 186, 170],
+ [189, 192, 195, 170],
+ [198, 201, 204, 170],
+ [207, 210, 213, 170],
+ [216, 219, 222, 170],
+ [225, 228, 231, 170],
+ [234, 237, 240, 170],
+ [243, 246, 249, 170],
+ [252, 0, 0, 170],
+ [0, 85, 170, 171],
+ [0, 0, 0, 172],
+ [0, 0, 0, 173],
+ [0, 85, 170, 174],
+ [0, 51, 102, 175],
+ [153, 204, 0, 175],
+ [0, 0, 0, 176],
+ [0, 85, 170, 177],
+ [0, 0, 0, 178],
+ [0, 0, 0, 179],
+ [0, 17, 34, 180],
+ [51, 68, 85, 180],
+ [102, 119, 136, 180],
+ [153, 170, 187, 180],
+ [204, 221, 238, 180],
+ [0, 0, 0, 181],
+ [0, 0, 0, 182],
+ [0, 85, 170, 183],
+ [0, 0, 0, 184],
+ [0, 51, 102, 185],
+ [153, 204, 0, 185],
+ [0, 85, 170, 186],
+ [0, 15, 30, 187],
+ [45, 60, 75, 187],
+ [90, 105, 120, 187],
+ [135, 150, 165, 187],
+ [180, 195, 210, 187],
+ [225, 240, 0, 187],
+ [0, 0, 0, 188],
+ [0, 85, 170, 189],
+ [0, 51, 102, 190],
+ [153, 204, 0, 190],
+ [0, 0, 0, 191],
+ [0, 85, 170, 192],
+ [0, 0, 0, 193],
+ [0, 0, 0, 194],
+ [0, 17, 34, 195],
+ [51, 68, 85, 195],
+ [102, 119, 136, 195],
+ [153, 170, 187, 195],
+ [204, 221, 238, 195],
+ [0, 0, 0, 196],
+ [0, 0, 0, 197],
+ [0, 85, 170, 198],
+ [0, 0, 0, 199],
+ [0, 51, 102, 200],
+ [153, 204, 0, 200],
+ [0, 85, 170, 201],
+ [0, 0, 0, 202],
+ [0, 0, 0, 203],
+ [0, 5, 10, 204],
+ [15, 20, 25, 204],
+ [30, 35, 40, 204],
+ [45, 50, 55, 204],
+ [60, 65, 70, 204],
+ [75, 80, 85, 204],
+ [90, 95, 100, 204],
+ [105, 110, 115, 204],
+ [120, 125, 130, 204],
+ [135, 140, 145, 204],
+ [150, 155, 160, 204],
+ [165, 170, 175, 204],
+ [180, 185, 190, 204],
+ [195, 200, 205, 204],
+ [210, 215, 220, 204],
+ [225, 230, 235, 204],
+ [240, 245, 250, 204],
+ [0, 51, 102, 205],
+ [153, 204, 0, 205],
+ [0, 0, 0, 206],
+ [0, 85, 170, 207],
+ [0, 0, 0, 208],
+ [0, 0, 0, 209],
+ [0, 17, 34, 210],
+ [51, 68, 85, 210],
+ [102, 119, 136, 210],
+ [153, 170, 187, 210],
+ [204, 221, 238, 210],
+ [0, 0, 0, 211],
+ [0, 0, 0, 212],
+ [0, 85, 170, 213],
+ [0, 0, 0, 214],
+ [0, 51, 102, 215],
+ [153, 204, 0, 215],
+ [0, 85, 170, 216],
+ [0, 0, 0, 217],
+ [0, 0, 0, 218],
+ [0, 85, 170, 219],
+ [0, 51, 102, 220],
+ [153, 204, 0, 220],
+ [0, 15, 30, 221],
+ [45, 60, 75, 221],
+ [90, 105, 120, 221],
+ [135, 150, 165, 221],
+ [180, 195, 210, 221],
+ [225, 240, 0, 221],
+ [0, 85, 170, 222],
+ [0, 0, 0, 223],
+ [0, 0, 0, 224],
+ [0, 17, 34, 225],
+ [51, 68, 85, 225],
+ [102, 119, 136, 225],
+ [153, 170, 187, 225],
+ [204, 221, 238, 225],
+ [0, 0, 0, 226],
+ [0, 0, 0, 227],
+ [0, 85, 170, 228],
+ [0, 0, 0, 229],
+ [0, 51, 102, 230],
+ [153, 204, 0, 230],
+ [0, 85, 170, 231],
+ [0, 0, 0, 232],
+ [0, 0, 0, 233],
+ [0, 85, 170, 234],
+ [0, 51, 102, 235],
+ [153, 204, 0, 235],
+ [0, 0, 0, 236],
+ [0, 85, 170, 237],
+ [0, 15, 30, 238],
+ [45, 60, 75, 238],
+ [90, 105, 120, 238],
+ [135, 150, 165, 238],
+ [180, 195, 210, 238],
+ [225, 240, 0, 238],
+ [0, 0, 0, 239],
+ [0, 17, 34, 240],
+ [51, 68, 85, 240],
+ [102, 119, 136, 240],
+ [153, 170, 187, 240],
+ [204, 221, 238, 240],
+ [0, 0, 0, 241],
+ [0, 0, 0, 242],
+ [0, 85, 170, 243],
+ [0, 0, 0, 244],
+ [0, 51, 102, 245],
+ [153, 204, 0, 245],
+ [0, 85, 170, 246],
+ [0, 0, 0, 247],
+ [0, 0, 0, 248],
+ [0, 85, 170, 249],
+ [0, 51, 102, 250],
+ [153, 204, 0, 250],
+ [0, 0, 0, 251],
+ [0, 85, 170, 252],
+ [0, 0, 0, 253],
+ [0, 0, 0, 254],
+ [5, 15, 25, 102],
+ [35, 40, 45, 102],
+ [50, 55, 60, 102],
+ [65, 70, 75, 102],
+ [80, 85, 90, 102],
+ [95, 100, 105, 102],
+ [110, 115, 120, 102],
+ [125, 130, 135, 102],
+ [140, 145, 150, 102],
+ [155, 160, 165, 102],
+ [170, 175, 180, 102],
+ [185, 190, 195, 102],
+ [200, 205, 210, 102],
+ [215, 220, 225, 102],
+ [230, 235, 240, 102],
+ [245, 250, 0, 102],
+ [15, 45, 60, 68],
+ [75, 90, 105, 68],
+ [120, 135, 150, 68],
+ [165, 180, 195, 68],
+ [210, 225, 240, 68],
+ [17, 34, 51, 45],
+ [68, 85, 102, 45],
+ [119, 136, 153, 45],
+ [170, 187, 204, 45],
+ [221, 238, 0, 45],
+ [17, 51, 68, 60],
+ [85, 102, 119, 60],
+ [136, 153, 170, 60],
+ [187, 204, 221, 60],
+ [238, 0, 0, 60],
+ [17, 34, 51, 90],
+ [68, 85, 102, 90],
+ [119, 136, 153, 90],
+ [170, 187, 204, 90],
+ [221, 238, 0, 90],
+ [17, 34, 51, 120],
+ [68, 85, 102, 120],
+ [119, 136, 153, 120],
+ [170, 187, 204, 120],
+ [221, 238, 0, 120],
+ [20, 25, 30, 51],
+ [35, 40, 45, 51],
+ [50, 55, 60, 51],
+ [65, 70, 75, 51],
+ [80, 85, 90, 51],
+ [95, 100, 105, 51],
+ [110, 115, 120, 51],
+ [125, 130, 135, 51],
+ [140, 145, 150, 51],
+ [155, 160, 165, 51],
+ [170, 175, 180, 51],
+ [185, 190, 195, 51],
+ [200, 205, 210, 51],
+ [215, 220, 225, 51],
+ [230, 235, 240, 51],
+ [245, 250, 0, 51],
+ [45, 60, 75, 17],
+ [90, 105, 120, 17],
+ [135, 150, 165, 17],
+ [180, 195, 210, 17],
+ [225, 240, 0, 17],
+ [45, 75, 90, 34],
+ [105, 120, 135, 34],
+ [150, 165, 180, 34],
+ [195, 210, 225, 34],
+ [240, 0, 0, 34],
+ [51, 153, 204, 20],
+ [51, 102, 153, 25],
+ [204, 0, 0, 25],
+ [51, 85, 119, 30],
+ [136, 153, 170, 30],
+ [187, 204, 221, 30],
+ [238, 0, 0, 30],
+ [51, 102, 153, 35],
+ [204, 0, 0, 35],
+ [51, 102, 153, 40],
+ [204, 0, 0, 40],
+ [51, 102, 153, 50],
+ [204, 0, 0, 50],
+ [51, 102, 153, 55],
+ [204, 0, 0, 55],
+ [51, 102, 153, 70],
+ [204, 0, 0, 70],
+ [51, 102, 153, 80],
+ [204, 0, 0, 80],
+ [51, 102, 153, 100],
+ [204, 0, 0, 100],
+ [51, 102, 153, 110],
+ [204, 0, 0, 110],
+ [65, 67, 69, 0],
+ [71, 73, 75, 0],
+ [77, 79, 81, 0],
+ [83, 85, 87, 0],
+ [89, 91, 93, 0],
+ [95, 97, 99, 0],
+ [101, 103, 105, 0],
+ [107, 109, 111, 0],
+ [113, 115, 117, 0],
+ [119, 121, 123, 0],
+ [125, 127, 128, 0],
+ [129, 130, 131, 0],
+ [132, 133, 134, 0],
+ [135, 136, 137, 0],
+ [138, 139, 140, 0],
+ [141, 142, 143, 0],
+ [144, 145, 146, 0],
+ [147, 148, 149, 0],
+ [150, 151, 152, 0],
+ [153, 154, 155, 0],
+ [156, 157, 158, 0],
+ [159, 160, 161, 0],
+ [162, 163, 164, 0],
+ [165, 166, 167, 0],
+ [168, 169, 170, 0],
+ [171, 172, 173, 0],
+ [174, 175, 176, 0],
+ [177, 178, 179, 0],
+ [180, 181, 182, 0],
+ [183, 184, 185, 0],
+ [186, 187, 188, 0],
+ [189, 190, 191, 0],
+ [192, 193, 194, 0],
+ [195, 196, 197, 0],
+ [198, 199, 200, 0],
+ [201, 202, 203, 0],
+ [204, 205, 206, 0],
+ [207, 208, 209, 0],
+ [210, 211, 212, 0],
+ [213, 214, 215, 0],
+ [216, 217, 218, 0],
+ [219, 220, 221, 0],
+ [222, 223, 224, 0],
+ [225, 226, 227, 0],
+ [228, 229, 230, 0],
+ [231, 232, 233, 0],
+ [234, 235, 236, 0],
+ [237, 238, 239, 0],
+ [240, 241, 242, 0],
+ [243, 244, 245, 0],
+ [246, 247, 248, 0],
+ [249, 250, 251, 0],
+ [252, 253, 254, 0],
+ [68, 85, 102, 15],
+ [119, 136, 153, 15],
+ [170, 187, 204, 15],
+ [221, 238, 0, 15],
+ [85, 170, 0, 3],
+ [85, 170, 0, 6],
+ [85, 170, 0, 9],
+ [85, 170, 0, 12],
+ [85, 170, 0, 18],
+ [85, 170, 0, 21],
+ [85, 170, 0, 24],
+ [85, 170, 0, 27],
+ [85, 170, 0, 33],
+ [85, 170, 0, 36],
+ [85, 170, 0, 39],
+ [85, 170, 0, 42],
+ [85, 170, 0, 48],
+ [85, 170, 0, 54],
+ [85, 170, 0, 57],
+ [85, 170, 0, 63],
+ [85, 170, 0, 66],
+ [85, 170, 0, 72],
+ [85, 170, 0, 78],
+ [85, 170, 0, 84],
+ [85, 170, 0, 96],
+ [85, 170, 0, 108],
+ [85, 170, 0, 114],
+ [85, 170, 0, 126],
+ [102, 153, 204, 5],
+ [153, 204, 0, 10],
+ ];
+ let rgb_pixels = vec![
+ [190, 152, 114],
+ [76, 38, 190],
+ [188, 188, 188],
+ [186, 124, 62],
+ [184, 184, 184],
+ [182, 182, 182],
+ [180, 168, 156],
+ [144, 132, 120],
+ [108, 96, 84],
+ [72, 60, 48],
+ [36, 24, 12],
+ [178, 178, 178],
+ [176, 176, 176],
+ [174, 116, 58],
+ [172, 172, 172],
+ [170, 168, 166],
+ [164, 162, 160],
+ [158, 156, 154],
+ [152, 150, 148],
+ [146, 144, 142],
+ [140, 138, 136],
+ [134, 132, 130],
+ [128, 126, 124],
+ [122, 120, 118],
+ [116, 114, 112],
+ [110, 108, 106],
+ [104, 102, 100],
+ [98, 96, 94],
+ [92, 90, 88],
+ [86, 84, 82],
+ [80, 78, 76],
+ [74, 72, 70],
+ [68, 66, 64],
+ [62, 60, 58],
+ [56, 54, 52],
+ [50, 48, 46],
+ [44, 42, 40],
+ [38, 36, 34],
+ [32, 30, 28],
+ [26, 24, 22],
+ [20, 18, 16],
+ [14, 12, 10],
+ [8, 6, 4],
+ [2, 170, 170],
+ [168, 112, 56],
+ [166, 166, 166],
+ [164, 164, 164],
+ [162, 108, 54],
+ [160, 128, 96],
+ [64, 32, 160],
+ [158, 158, 158],
+ [156, 104, 52],
+ [154, 154, 154],
+ [152, 152, 152],
+ [150, 140, 130],
+ [120, 110, 100],
+ [90, 80, 70],
+ [60, 50, 40],
+ [30, 20, 10],
+ [148, 148, 148],
+ [146, 146, 146],
+ [144, 96, 48],
+ [142, 142, 142],
+ [140, 112, 84],
+ [56, 28, 140],
+ [138, 92, 46],
+ [136, 128, 120],
+ [112, 104, 96],
+ [88, 80, 72],
+ [64, 56, 48],
+ [40, 32, 24],
+ [16, 8, 136],
+ [134, 134, 134],
+ [132, 88, 44],
+ [130, 104, 78],
+ [52, 26, 130],
+ [128, 128, 128],
+ [127, 127, 127],
+ [126, 84, 42],
+ [125, 100, 75],
+ [50, 25, 125],
+ [124, 124, 124],
+ [123, 82, 41],
+ [122, 122, 122],
+ [121, 121, 121],
+ [120, 112, 104],
+ [96, 88, 80],
+ [72, 64, 56],
+ [48, 40, 32],
+ [24, 16, 8],
+ [119, 112, 105],
+ [98, 91, 84],
+ [77, 70, 63],
+ [56, 49, 42],
+ [35, 28, 21],
+ [14, 7, 119],
+ [118, 118, 118],
+ [117, 78, 39],
+ [116, 116, 116],
+ [115, 92, 69],
+ [46, 23, 115],
+ [114, 76, 38],
+ [113, 113, 113],
+ [112, 112, 112],
+ [111, 74, 37],
+ [110, 88, 66],
+ [44, 22, 110],
+ [109, 109, 109],
+ [108, 72, 36],
+ [107, 107, 107],
+ [106, 106, 106],
+ [105, 98, 91],
+ [84, 77, 70],
+ [63, 56, 49],
+ [42, 35, 28],
+ [21, 14, 7],
+ [104, 104, 104],
+ [103, 103, 103],
+ [102, 100, 98],
+ [96, 94, 92],
+ [90, 88, 86],
+ [84, 82, 80],
+ [78, 76, 74],
+ [72, 70, 68],
+ [66, 64, 62],
+ [60, 58, 56],
+ [54, 52, 50],
+ [48, 46, 44],
+ [42, 40, 38],
+ [36, 34, 32],
+ [30, 28, 26],
+ [24, 22, 20],
+ [18, 16, 14],
+ [12, 10, 8],
+ [6, 4, 2],
+ [101, 101, 101],
+ [100, 80, 60],
+ [40, 20, 100],
+ [99, 66, 33],
+ [98, 98, 98],
+ [97, 97, 97],
+ [96, 64, 32],
+ [95, 76, 57],
+ [38, 19, 95],
+ [94, 94, 94],
+ [93, 62, 31],
+ [92, 92, 92],
+ [91, 91, 91],
+ [90, 84, 78],
+ [72, 66, 60],
+ [54, 48, 42],
+ [36, 30, 24],
+ [18, 12, 6],
+ [89, 89, 89],
+ [88, 88, 88],
+ [87, 58, 29],
+ [86, 86, 86],
+ [85, 84, 83],
+ [82, 81, 80],
+ [79, 78, 77],
+ [76, 75, 74],
+ [73, 72, 71],
+ [70, 69, 68],
+ [67, 66, 65],
+ [64, 63, 62],
+ [61, 60, 59],
+ [58, 57, 56],
+ [55, 54, 53],
+ [52, 51, 50],
+ [49, 48, 47],
+ [46, 45, 44],
+ [43, 42, 41],
+ [40, 39, 38],
+ [37, 36, 35],
+ [34, 33, 32],
+ [31, 30, 29],
+ [28, 27, 26],
+ [25, 24, 23],
+ [22, 21, 20],
+ [19, 18, 17],
+ [16, 15, 14],
+ [13, 12, 11],
+ [10, 9, 8],
+ [7, 6, 5],
+ [4, 3, 2],
+ [1, 85, 85],
+ [84, 56, 28],
+ [83, 83, 83],
+ [82, 82, 82],
+ [81, 54, 27],
+ [80, 64, 48],
+ [32, 16, 80],
+ [79, 79, 79],
+ [78, 52, 26],
+ [77, 77, 77],
+ [76, 76, 76],
+ [75, 70, 65],
+ [60, 55, 50],
+ [45, 40, 35],
+ [30, 25, 20],
+ [15, 10, 5],
+ [74, 74, 74],
+ [73, 73, 73],
+ [72, 48, 24],
+ [71, 71, 71],
+ [70, 56, 42],
+ [28, 14, 70],
+ [69, 46, 23],
+ [68, 64, 60],
+ [56, 52, 48],
+ [44, 40, 36],
+ [32, 28, 24],
+ [20, 16, 12],
+ [8, 4, 68],
+ [67, 67, 67],
+ [66, 44, 22],
+ [65, 52, 39],
+ [26, 13, 65],
+ [64, 64, 64],
+ [63, 42, 21],
+ [62, 62, 62],
+ [61, 61, 61],
+ [60, 56, 52],
+ [48, 44, 40],
+ [36, 32, 28],
+ [24, 20, 16],
+ [12, 8, 4],
+ [59, 59, 59],
+ [58, 58, 58],
+ [57, 38, 19],
+ [56, 56, 56],
+ [55, 44, 33],
+ [22, 11, 55],
+ [54, 36, 18],
+ [53, 53, 53],
+ [52, 52, 52],
+ [51, 50, 49],
+ [48, 47, 46],
+ [45, 44, 43],
+ [42, 41, 40],
+ [39, 38, 37],
+ [36, 35, 34],
+ [33, 32, 31],
+ [30, 29, 28],
+ [27, 26, 25],
+ [24, 23, 22],
+ [21, 20, 19],
+ [18, 17, 16],
+ [15, 14, 13],
+ [12, 11, 10],
+ [9, 8, 7],
+ [6, 5, 4],
+ [3, 2, 1],
+ [50, 40, 30],
+ [20, 10, 50],
+ [49, 49, 49],
+ [48, 32, 16],
+ [47, 47, 47],
+ [46, 46, 46],
+ [45, 42, 39],
+ [36, 33, 30],
+ [27, 24, 21],
+ [18, 15, 12],
+ [9, 6, 3],
+ [44, 44, 44],
+ [43, 43, 43],
+ [42, 28, 14],
+ [41, 41, 41],
+ [40, 32, 24],
+ [16, 8, 40],
+ [39, 26, 13],
+ [38, 38, 38],
+ [37, 37, 37],
+ [36, 24, 12],
+ [35, 28, 21],
+ [14, 7, 35],
+ [34, 32, 30],
+ [28, 26, 24],
+ [22, 20, 18],
+ [16, 14, 12],
+ [10, 8, 6],
+ [4, 2, 34],
+ [33, 22, 11],
+ [32, 32, 32],
+ [31, 31, 31],
+ [30, 28, 26],
+ [24, 22, 20],
+ [18, 16, 14],
+ [12, 10, 8],
+ [6, 4, 2],
+ [29, 29, 29],
+ [28, 28, 28],
+ [27, 18, 9],
+ [26, 26, 26],
+ [25, 20, 15],
+ [10, 5, 25],
+ [24, 16, 8],
+ [23, 23, 23],
+ [22, 22, 22],
+ [21, 14, 7],
+ [20, 16, 12],
+ [8, 4, 20],
+ [19, 19, 19],
+ [18, 12, 6],
+ [17, 16, 15],
+ [14, 13, 12],
+ [11, 10, 9],
+ [8, 7, 6],
+ [5, 4, 3],
+ [2, 1, 17],
+ [16, 16, 16],
+ [15, 14, 13],
+ [12, 11, 10],
+ [9, 8, 7],
+ [6, 5, 4],
+ [3, 2, 1],
+ [14, 14, 14],
+ [13, 13, 13],
+ [12, 8, 4],
+ [11, 11, 11],
+ [10, 8, 6],
+ [4, 2, 10],
+ [9, 6, 3],
+ [8, 8, 8],
+ [7, 7, 7],
+ [6, 4, 2],
+ [5, 4, 3],
+ [2, 1, 5],
+ [4, 4, 4],
+ [3, 2, 1],
+ [2, 2, 2],
+ [1, 1, 1],
+ [150, 144, 138],
+ [132, 129, 126],
+ [123, 120, 117],
+ [114, 111, 108],
+ [105, 102, 99],
+ [96, 93, 90],
+ [87, 84, 81],
+ [78, 75, 72],
+ [69, 66, 63],
+ [60, 57, 54],
+ [51, 48, 45],
+ [42, 39, 36],
+ [33, 30, 27],
+ [24, 21, 18],
+ [15, 12, 9],
+ [6, 3, 153],
+ [176, 154, 143],
+ [132, 121, 110],
+ [99, 88, 77],
+ [66, 55, 44],
+ [33, 22, 11],
+ [196, 182, 168],
+ [154, 140, 126],
+ [112, 98, 84],
+ [70, 56, 42],
+ [28, 14, 210],
+ [182, 156, 143],
+ [130, 117, 104],
+ [91, 78, 65],
+ [52, 39, 26],
+ [13, 195, 195],
+ [154, 143, 132],
+ [121, 110, 99],
+ [88, 77, 66],
+ [55, 44, 33],
+ [22, 11, 165],
+ [126, 117, 108],
+ [99, 90, 81],
+ [72, 63, 54],
+ [45, 36, 27],
+ [18, 9, 135],
+ [188, 184, 180],
+ [176, 172, 168],
+ [164, 160, 156],
+ [152, 148, 144],
+ [140, 136, 132],
+ [128, 124, 120],
+ [116, 112, 108],
+ [104, 100, 96],
+ [92, 88, 84],
+ [80, 76, 72],
+ [68, 64, 60],
+ [56, 52, 48],
+ [44, 40, 36],
+ [32, 28, 24],
+ [20, 16, 12],
+ [8, 4, 204],
+ [196, 182, 168],
+ [154, 140, 126],
+ [112, 98, 84],
+ [70, 56, 42],
+ [28, 14, 238],
+ [182, 156, 143],
+ [130, 117, 104],
+ [91, 78, 65],
+ [52, 39, 26],
+ [13, 221, 221],
+ [188, 94, 47],
+ [184, 138, 92],
+ [46, 230, 230],
+ [180, 150, 120],
+ [105, 90, 75],
+ [60, 45, 30],
+ [15, 225, 225],
+ [176, 132, 88],
+ [44, 220, 220],
+ [172, 129, 86],
+ [43, 215, 215],
+ [164, 123, 82],
+ [41, 205, 205],
+ [160, 120, 80],
+ [40, 200, 200],
+ [148, 111, 74],
+ [37, 185, 185],
+ [140, 105, 70],
+ [35, 175, 175],
+ [124, 93, 62],
+ [31, 155, 155],
+ [116, 87, 58],
+ [29, 145, 145],
+ [190, 188, 186],
+ [184, 182, 180],
+ [178, 176, 174],
+ [172, 170, 168],
+ [166, 164, 162],
+ [160, 158, 156],
+ [154, 152, 150],
+ [148, 146, 144],
+ [142, 140, 138],
+ [136, 134, 132],
+ [130, 128, 127],
+ [126, 125, 124],
+ [123, 122, 121],
+ [120, 119, 118],
+ [117, 116, 115],
+ [114, 113, 112],
+ [111, 110, 109],
+ [108, 107, 106],
+ [105, 104, 103],
+ [102, 101, 100],
+ [99, 98, 97],
+ [96, 95, 94],
+ [93, 92, 91],
+ [90, 89, 88],
+ [87, 86, 85],
+ [84, 83, 82],
+ [81, 80, 79],
+ [78, 77, 76],
+ [75, 74, 73],
+ [72, 71, 70],
+ [69, 68, 67],
+ [66, 65, 64],
+ [63, 62, 61],
+ [60, 59, 58],
+ [57, 56, 55],
+ [54, 53, 52],
+ [51, 50, 49],
+ [48, 47, 46],
+ [45, 44, 43],
+ [42, 41, 40],
+ [39, 38, 37],
+ [36, 35, 34],
+ [33, 32, 31],
+ [30, 29, 28],
+ [27, 26, 25],
+ [24, 23, 22],
+ [21, 20, 19],
+ [18, 17, 16],
+ [15, 14, 13],
+ [12, 11, 10],
+ [9, 8, 7],
+ [6, 5, 4],
+ [3, 2, 1],
+ [176, 160, 144],
+ [128, 112, 96],
+ [80, 64, 48],
+ [32, 16, 240],
+ [168, 84, 252],
+ [166, 83, 249],
+ [164, 82, 246],
+ [162, 81, 243],
+ [158, 79, 237],
+ [156, 78, 234],
+ [154, 77, 231],
+ [152, 76, 228],
+ [148, 74, 222],
+ [146, 73, 219],
+ [144, 72, 216],
+ [142, 71, 213],
+ [138, 69, 207],
+ [134, 67, 201],
+ [132, 66, 198],
+ [128, 64, 192],
+ [126, 63, 189],
+ [122, 61, 183],
+ [118, 59, 177],
+ [114, 57, 171],
+ [106, 53, 159],
+ [98, 49, 147],
+ [94, 47, 141],
+ [86, 43, 129],
+ [150, 100, 50],
+ [98, 49, 245],
+ ];
+ for (&cmyk_pixel, rgb_pixel) in cmyk_pixels.iter().zip(rgb_pixels) {
+ single_pix_correct(cmyk_pixel, rgb_pixel);
+ }
+ }
+
+ #[cfg(feature = "benchmarks")]
+ #[bench]
+ fn bench_cmyk_to_rgb(b: &mut Bencher) {
+ let mut v = Vec::with_capacity((W * H * 4) as usize);
+ for c in 0..=255 {
+ for k in 0..=255 {
+ v.push(c as u8);
+ v.push(0);
+ v.push(0);
+ v.push(k as u8);
+ }
+ }
+
+ b.iter(|| {
+ cmyk_to_rgb(&v);
+ });
+ }
+
+ #[cfg(feature = "benchmarks")]
+ #[bench]
+ fn bench_cmyk_to_rgb_single(b: &mut Bencher) {
+ b.iter(|| {
+ cmyk_to_rgb(&[128, 128, 128, 128]);
+ });
+ }
+}