Reduction performance tweaks (#676)
Two key changes here: - Removed some defunct reduction benches and added some more alpha reduction benches. - Changed use of `chunks()` to `chunks_exact()` where appropriate to improve performance. (As a byproduct, this also fixes a potential crash if a malformed file has a PLTE chunk that isn't a multiple of 3.)
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5a4cfa9505
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1188b9a91e
6 changed files with 50 additions and 98 deletions
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@ -54,36 +54,6 @@ fn reductions_8_to_1_bits(b: &mut Bencher) {
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b.iter(|| bit_depth::reduced_bit_depth_8_or_less(&png.raw));
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}
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#[bench]
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fn reductions_4_to_2_bits(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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"tests/files/palette_4_should_be_palette_2.png",
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));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| bit_depth::reduced_bit_depth_8_or_less(&png.raw));
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}
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#[bench]
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fn reductions_4_to_1_bits(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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"tests/files/palette_4_should_be_palette_1.png",
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));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| bit_depth::reduced_bit_depth_8_or_less(&png.raw));
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}
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#[bench]
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fn reductions_2_to_1_bits(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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"tests/files/palette_2_should_be_palette_1.png",
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));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| bit_depth::reduced_bit_depth_8_or_less(&png.raw));
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}
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#[bench]
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fn reductions_grayscale_8_to_4_bits(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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@ -114,42 +84,12 @@ fn reductions_grayscale_8_to_1_bits(b: &mut Bencher) {
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b.iter(|| bit_depth::reduced_bit_depth_8_or_less(&png.raw));
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}
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#[bench]
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fn reductions_grayscale_4_to_2_bits(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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"tests/files/grayscale_4_should_be_grayscale_2.png",
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));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| bit_depth::reduced_bit_depth_8_or_less(&png.raw));
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}
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#[bench]
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fn reductions_grayscale_4_to_1_bits(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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"tests/files/grayscale_4_should_be_grayscale_1.png",
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));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| bit_depth::reduced_bit_depth_8_or_less(&png.raw));
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}
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#[bench]
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fn reductions_grayscale_2_to_1_bits(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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"tests/files/grayscale_2_should_be_grayscale_1.png",
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));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| bit_depth::reduced_bit_depth_8_or_less(&png.raw));
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}
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#[bench]
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fn reductions_rgba_to_rgb_16(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from("tests/files/rgba_16_should_be_rgb_16.png"));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| alpha::reduced_alpha_channel(&png.raw, false));
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b.iter(|| alpha::reduced_alpha_channel(&png.raw, true));
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}
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#[bench]
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@ -157,7 +97,15 @@ fn reductions_rgba_to_rgb_8(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from("tests/files/rgba_8_should_be_rgb_8.png"));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| alpha::reduced_alpha_channel(&png.raw, false));
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b.iter(|| alpha::reduced_alpha_channel(&png.raw, true));
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}
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#[bench]
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fn reductions_rgba_to_rgb_trns_8(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from("tests/files/rgba_8_should_be_rgb_trns_8.png"));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| alpha::reduced_alpha_channel(&png.raw, true));
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}
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#[bench]
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@ -180,32 +128,6 @@ fn reductions_rgba_to_grayscale_alpha_8(b: &mut Bencher) {
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b.iter(|| color::reduced_rgb_to_grayscale(&png.raw));
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}
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#[bench]
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fn reductions_rgba_to_grayscale_16(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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"tests/files/rgba_16_should_be_grayscale_16.png",
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));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| {
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color::reduced_rgb_to_grayscale(&png.raw)
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.and_then(|r| alpha::reduced_alpha_channel(&r, false))
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});
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}
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#[bench]
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fn reductions_rgba_to_grayscale_8(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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"tests/files/rgba_8_should_be_grayscale_8.png",
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));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| {
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color::reduced_rgb_to_grayscale(&png.raw)
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.and_then(|r| alpha::reduced_alpha_channel(&r, false))
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});
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}
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#[bench]
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fn reductions_rgb_to_grayscale_16(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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@ -240,6 +162,36 @@ fn reductions_rgb_to_palette_8(b: &mut Bencher) {
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b.iter(|| color::reduced_to_indexed(&png.raw, true));
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}
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#[bench]
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fn reductions_grayscale_alpha_to_grayscale_16(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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"tests/files/grayscale_alpha_16_should_be_grayscale_16.png",
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));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| alpha::reduced_alpha_channel(&png.raw, true));
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}
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#[bench]
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fn reductions_grayscale_alpha_to_grayscale_8(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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"tests/files/grayscale_alpha_8_should_be_grayscale_8.png",
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));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| alpha::reduced_alpha_channel(&png.raw, true));
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}
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#[bench]
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fn reductions_grayscale_alpha_to_grayscale_trns_8(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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"tests/files/grayscale_alpha_8_should_be_grayscale_trns_8.png",
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));
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let png = PngData::new(&input, &Options::default()).unwrap();
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b.iter(|| alpha::reduced_alpha_channel(&png.raw, true));
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}
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#[bench]
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fn reductions_grayscale_8_to_palette_8(b: &mut Bencher) {
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let input = test::black_box(PathBuf::from(
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@ -126,8 +126,8 @@ impl RowFilter {
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return;
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}
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let mut pixels: Vec<_> = data.chunks_mut(bpp).collect();
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let prev_pixels: Vec<_> = prev_line.chunks(bpp).collect();
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let mut pixels: Vec<_> = data.chunks_exact_mut(bpp).collect();
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let prev_pixels: Vec<_> = prev_line.chunks_exact(bpp).collect();
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for i in 0..pixels.len() {
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if pixels[i].iter().skip(color_bytes).all(|b| *b == 0) {
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// If the first pixel in the row is transparent, find the next non-transparent pixel and pretend
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@ -225,7 +225,7 @@ fn palette_to_rgba(
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) -> Result<Vec<RGBA8>, PngError> {
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let palette_data = palette_data.ok_or_else(|| PngError::new("no palette in indexed image"))?;
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let mut palette: Vec<_> = palette_data
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.chunks(3)
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.chunks_exact(3)
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.map(|color| RGBA8::new(color[0], color[1], color[2], 255))
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.collect();
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@ -17,7 +17,7 @@ pub fn cleaned_alpha_channel(png: &PngImage) -> Option<PngImage> {
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let colored_bytes = bpp - byte_depth;
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let mut reduced = Vec::with_capacity(png.data.len());
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for pixel in png.data.chunks(bpp) {
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for pixel in png.data.chunks_exact(bpp) {
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if pixel.iter().skip(colored_bytes).all(|b| *b == 0) {
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reduced.resize(reduced.len() + bpp, 0);
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} else {
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@ -46,7 +46,7 @@ pub fn reduced_alpha_channel(png: &PngImage, optimize_alpha: bool) -> Option<Png
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let mut has_transparency = false;
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let mut used_colors = vec![false; 256];
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for pixel in png.data.chunks(bpp) {
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for pixel in png.data.chunks_exact(bpp) {
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if optimize_alpha && pixel.iter().skip(colored_bytes).all(|b| *b == 0) {
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// Fully transparent, we may be able to reduce with tRNS
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has_transparency = true;
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@ -75,7 +75,7 @@ pub fn reduced_alpha_channel(png: &PngImage, optimize_alpha: bool) -> Option<Png
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};
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let mut raw_data = Vec::with_capacity(png.data.len());
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for pixel in png.data.chunks(bpp) {
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for pixel in png.data.chunks_exact(bpp) {
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match transparency_pixel {
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Some(trns) if pixel.iter().skip(colored_bytes).all(|b| *b == 0) => {
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raw_data.resize(raw_data.len() + colored_bytes, trns);
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@ -16,13 +16,13 @@ pub fn reduced_bit_depth_16_to_8(png: &PngImage, force_scale: bool) -> Option<Pn
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}
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// Reduce from 16 to 8 bits per channel per pixel
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if png.data.chunks(2).any(|pair| pair[0] != pair[1]) {
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if png.data.chunks_exact(2).any(|pair| pair[0] != pair[1]) {
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// Can't reduce
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return None;
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}
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Some(PngImage {
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data: png.data.iter().step_by(2).copied().collect(),
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data: png.data.chunks_exact(2).map(|pair| pair[0]).collect(),
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ihdr: IhdrData {
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color_type: png.ihdr.color_type.clone(),
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bit_depth: BitDepth::Eight,
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@ -41,7 +41,7 @@ pub fn scaled_bit_depth_16_to_8(png: &PngImage) -> Option<PngImage> {
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// Reduce from 16 to 8 bits per channel per pixel by scaling when necessary
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let data = png
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.data
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.chunks(2)
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.chunks_exact(2)
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.map(|pair| {
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if pair[0] == pair[1] {
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return pair[0];
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@ -106,7 +106,7 @@ pub fn reduced_rgb_to_grayscale(png: &PngImage) -> Option<PngImage> {
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let byte_depth = png.bytes_per_channel();
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let bpp = png.channels_per_pixel() * byte_depth;
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let last_color = 2 * byte_depth;
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for pixel in png.data.chunks(bpp) {
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for pixel in png.data.chunks_exact(bpp) {
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if byte_depth == 1 {
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if pixel[0] != pixel[1] || pixel[1] != pixel[2] {
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return None;
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