Refactor use_heuristics for fast filter evaluation (#463)
This commit is contained in:
parent
15a9b4a3e7
commit
6022fc2aa1
6 changed files with 205 additions and 201 deletions
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@ -27,7 +27,8 @@ impl AtomicMin {
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&self.val
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}
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pub fn set_min(&self, new_val: usize) {
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self.val.fetch_min(new_val, SeqCst);
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/// Try a new value, returning true if it is the new minimum
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pub fn set_min(&self, new_val: usize) -> bool {
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new_val < self.val.fetch_min(new_val, SeqCst)
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}
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}
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@ -1,5 +1,3 @@
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use indexmap::IndexSet;
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mod deflater;
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pub use deflater::crc32;
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pub use deflater::deflate;
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@ -12,13 +10,13 @@ mod zopfli_oxipng;
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#[cfg(feature = "zopfli")]
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pub use zopfli_oxipng::deflate as zopfli_deflate;
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#[derive(Clone, Debug, PartialEq, Eq)]
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#[derive(Clone, Copy, Debug, PartialEq, Eq)]
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/// DEFLATE algorithms supported by oxipng
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pub enum Deflaters {
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/// Use libdeflater.
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Libdeflater {
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/// Which compression levels to try on the file (1-12)
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compression: IndexSet<u8>,
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/// Which compression level to use on the file (1-12)
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compression: u8,
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},
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#[cfg(feature = "zopfli")]
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/// Use the better but slower Zopfli implementation
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@ -11,6 +11,7 @@ use crate::rayon;
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use crate::Deadline;
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#[cfg(feature = "parallel")]
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use crossbeam_channel::{unbounded, Receiver, Sender};
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use indexmap::IndexSet;
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use rayon::prelude::*;
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#[cfg(not(feature = "parallel"))]
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use std::cell::RefCell;
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@ -18,13 +19,10 @@ use std::sync::atomic::AtomicUsize;
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use std::sync::atomic::Ordering::SeqCst;
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use std::sync::Arc;
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/// Must use normal (lazy) compression, as faster ones (greedy) are not representative
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const STD_COMPRESSION: u8 = 5;
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const STD_FILTERS: [RowFilter; 2] = [RowFilter::None, RowFilter::MinSum];
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struct Candidate {
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image: PngData,
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filter: RowFilter,
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pub struct Candidate {
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pub image: PngData,
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pub filter: RowFilter,
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pub is_reduction: bool,
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// first wins tie-breaker
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nth: usize,
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}
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@ -44,6 +42,8 @@ impl Candidate {
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/// Collect image versions and pick one that compresses best
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pub(crate) struct Evaluator {
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deadline: Arc<Deadline>,
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filters: IndexSet<RowFilter>,
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compression: u8,
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nth: AtomicUsize,
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best_candidate_size: Arc<AtomicMin>,
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/// images are sent to the caller thread for evaluation
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@ -55,11 +55,13 @@ pub(crate) struct Evaluator {
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}
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impl Evaluator {
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pub fn new(deadline: Arc<Deadline>) -> Self {
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pub fn new(deadline: Arc<Deadline>, filters: IndexSet<RowFilter>, compression: u8) -> Self {
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#[cfg(feature = "parallel")]
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let eval_channel = unbounded();
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Self {
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deadline,
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filters,
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compression,
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best_candidate_size: Arc::new(AtomicMin::new(None)),
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nth: AtomicUsize::new(0),
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#[cfg(feature = "parallel")]
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@ -72,26 +74,27 @@ impl Evaluator {
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/// Wait for all evaluations to finish and return smallest reduction
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/// Or `None` if all reductions were worse than baseline.
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#[cfg(feature = "parallel")]
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fn get_best_candidate(self) -> Option<Candidate> {
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pub fn get_best_candidate(self) -> Option<Candidate> {
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let (eval_send, eval_recv) = self.eval_channel;
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drop(eval_send); // disconnect the sender, breaking the loop in the thread
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eval_recv.into_iter().min_by_key(Candidate::cmp_key)
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}
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#[cfg(not(feature = "parallel"))]
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fn get_best_candidate(self) -> Option<Candidate> {
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pub fn get_best_candidate(self) -> Option<Candidate> {
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self.eval_best_candidate.into_inner()
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}
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pub fn get_result(self) -> Option<PngData> {
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self.get_best_candidate().map(|candidate| candidate.image)
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}
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/// Set baseline image. It will be used only to measure minimum compression level required
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pub fn set_baseline(&self, image: Arc<PngImage>) {
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self.try_image_inner(image, false)
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}
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/// Set best size, if known in advance
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pub fn set_best_size(&self, size: usize) {
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self.best_candidate_size.set_min(size);
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}
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/// Check if the image is smaller than others
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pub fn try_image(&self, image: Arc<PngImage>) {
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self.try_image_inner(image, true)
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@ -101,13 +104,15 @@ impl Evaluator {
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let nth = self.nth.fetch_add(1, SeqCst);
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// These clones are only cheap refcounts
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let deadline = self.deadline.clone();
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let filters = self.filters.clone();
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let compression = self.compression;
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let best_candidate_size = self.best_candidate_size.clone();
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// sends it off asynchronously for compression,
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// but results will be collected via the message queue
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#[cfg(feature = "parallel")]
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let eval_send = self.eval_channel.0.clone();
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rayon::spawn(move || {
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let filters_iter = STD_FILTERS.par_iter().with_max_len(1);
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let filters_iter = filters.par_iter().with_max_len(1);
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// Updating of best result inside the parallel loop would require locks,
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// which are dangerous to do in side Rayon's loop.
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@ -119,21 +124,17 @@ impl Evaluator {
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}
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if let Ok(idat_data) = deflate::deflate(
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&image.filter_image(filter),
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STD_COMPRESSION,
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compression,
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&best_candidate_size,
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) {
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best_candidate_size.set_min(idat_data.len());
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// ignore baseline images after this point
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if !is_reduction {
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return;
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}
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// the rest is shipped to the evavluation/collection thread
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let new = Candidate {
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image: PngData {
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idat_data,
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raw: Arc::clone(&image),
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},
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filter,
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is_reduction,
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nth,
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};
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317
src/lib.rs
317
src/lib.rs
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@ -47,7 +47,7 @@ pub use crate::deflate::Deflaters;
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pub use crate::error::PngError;
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pub use crate::filters::RowFilter;
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pub use crate::headers::Headers;
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pub use indexmap::{IndexMap, IndexSet};
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pub use indexmap::{indexset, IndexMap, IndexSet};
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mod atomicmin;
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mod colors;
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@ -192,12 +192,12 @@ pub struct Options {
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///
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/// Default: `Libdeflater`
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pub deflate: Deflaters,
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/// Whether to use heuristics to pick the best filter and compression
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/// Whether to use fast evaluation to pick the best filter
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///
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/// Intended for use with `-o 1` from the CLI interface
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///
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/// Default: `false`
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pub use_heuristics: bool,
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pub fast_evaluation: bool,
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/// Maximum amount of time to spend on optimizations.
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/// Further potential optimizations are skipped if the timeout is exceeded.
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@ -232,20 +232,18 @@ impl Options {
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self.idat_recoding = false;
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self.filter.clear();
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if let Deflaters::Libdeflater { compression } = &mut self.deflate {
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compression.clear();
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compression.insert(5);
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*compression = 5;
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}
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self.use_heuristics = true;
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self.fast_evaluation = true;
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self
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}
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fn apply_preset_1(mut self) -> Self {
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self.filter.clear();
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if let Deflaters::Libdeflater { compression } = &mut self.deflate {
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compression.clear();
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compression.insert(10);
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*compression = 10;
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}
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self.use_heuristics = true;
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self.fast_evaluation = true;
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self
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}
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@ -263,45 +261,23 @@ impl Options {
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fn apply_preset_4(mut self) -> Self {
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if let Deflaters::Libdeflater { compression } = &mut self.deflate {
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compression.clear();
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compression.insert(12);
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*compression = 12;
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}
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self.apply_preset_3()
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}
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fn apply_preset_5(mut self) -> Self {
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if let Deflaters::Libdeflater { compression } = &mut self.deflate {
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compression.clear();
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for i in 9..=12 {
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compression.insert(i);
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}
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}
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self.apply_preset_3()
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fn apply_preset_5(self) -> Self {
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self.apply_preset_4()
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}
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fn apply_preset_6(mut self) -> Self {
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if let Deflaters::Libdeflater { compression } = &mut self.deflate {
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compression.clear();
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for i in 1..=12 {
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compression.insert(i);
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}
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}
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self.apply_preset_3()
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fn apply_preset_6(self) -> Self {
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self.apply_preset_4()
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}
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}
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impl Default for Options {
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fn default() -> Options {
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// Default settings based on -o 2 from the CLI interface
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let mut filter = IndexSet::new();
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filter.insert(RowFilter::None);
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filter.insert(RowFilter::MinSum);
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let mut compression = IndexSet::new();
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compression.insert(11);
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// We always need NoOp to be present
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let mut alphas = IndexSet::new();
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alphas.insert(AlphaOptim::NoOp);
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Options {
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backup: false,
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check: false,
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@ -309,17 +285,17 @@ impl Default for Options {
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fix_errors: false,
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force: false,
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preserve_attrs: false,
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filter,
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filter: indexset! {RowFilter::None, RowFilter::MinSum},
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interlace: None,
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alphas,
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alphas: IndexSet::new(),
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bit_depth_reduction: true,
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color_type_reduction: true,
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palette_reduction: true,
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grayscale_reduction: true,
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idat_recoding: true,
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strip: Headers::None,
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deflate: Deflaters::Libdeflater { compression },
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use_heuristics: false,
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deflate: Deflaters::Libdeflater { compression: 11 },
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fast_evaluation: false,
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timeout: None,
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}
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}
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@ -470,6 +446,7 @@ struct TrialOptions {
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pub filter: RowFilter,
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pub compression: u8,
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}
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type TrialWithData = (TrialOptions, Vec<u8>);
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/// Perform optimization on the input PNG object using the options provided
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fn optimize_png(
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@ -478,8 +455,6 @@ fn optimize_png(
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opts: &Options,
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deadline: Arc<Deadline>,
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) -> PngResult<Vec<u8>> {
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type TrialWithData = (TrialOptions, Vec<u8>);
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let original_png = png.clone();
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// Print png info
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@ -506,135 +481,106 @@ fn optimize_png(
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info!(" IDAT size = {} bytes", idat_original_size);
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info!(" File size = {} bytes", file_original_size);
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let mut filter = opts.filter.clone();
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if opts.use_heuristics {
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// Heuristically determine which set of options to use
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let use_filter = if png.raw.ihdr.bit_depth.as_u8() >= 8
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&& png.raw.ihdr.color_type != colors::ColorType::Indexed
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{
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RowFilter::MinSum
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} else {
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RowFilter::None
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};
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if filter.is_empty() {
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filter.insert(use_filter);
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}
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}
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// Must use normal (lazy) compression, as faster ones (greedy) are not representative
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let eval_compression = 5;
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let eval_filters = indexset! {RowFilter::None, RowFilter::MinSum};
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// This will collect all versions of images and pick one that compresses best
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let eval = Evaluator::new(deadline.clone());
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// Usually we want transformations that are smaller than the unmodified original,
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// but if we're interlacing, we have to accept a possible file size increase.
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if opts.interlace.is_none() {
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eval.set_baseline(png.raw.clone());
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}
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let eval = Evaluator::new(deadline.clone(), eval_filters.clone(), eval_compression);
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perform_reductions(png.raw.clone(), opts, &deadline, &eval);
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let reduction_occurred = if let Some(result) = eval.get_result() {
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*png = result;
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true
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let (reduction_occurred, mut eval_filter) = if let Some(result) = eval.get_best_candidate() {
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*png = result.image;
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(result.is_reduction, Some(result.filter))
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} else {
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false
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(false, None)
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};
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if opts.idat_recoding || reduction_occurred {
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// Go through selected permutations and determine the best
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let combinations = if let Deflaters::Libdeflater { compression } = &opts.deflate {
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filter.len() * compression.len()
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} else {
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filter.len()
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};
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let mut results: Vec<TrialOptions> = Vec::with_capacity(combinations);
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let mut filters = opts.filter.clone();
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let fast_eval = opts.fast_evaluation && (filters.len() > 1 || eval_filter.is_some());
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let best: Option<TrialWithData> = if fast_eval {
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// Perform a fast evaluation of selected filters followed by a single main compression trial
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if eval_filter.is_some() {
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// Some filters have already been evaluated, we don't need to try them again
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filters = filters.difference(&eval_filters).cloned().collect();
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}
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for f in &filter {
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if let Deflaters::Libdeflater { compression } = &opts.deflate {
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for zc in compression {
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results.push(TrialOptions {
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filter: *f,
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compression: *zc,
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});
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if deadline.passed() {
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break;
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}
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if !filters.is_empty() {
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debug!("Evaluating: {} filters", filters.len());
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let eval = Evaluator::new(deadline, filters, eval_compression);
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if eval_filter.is_some() {
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eval.set_best_size(png.idat_data.len());
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}
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eval.try_image(png.raw.clone());
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if let Some(result) = eval.get_best_candidate() {
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*png = result.image;
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eval_filter = Some(result.filter);
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}
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}
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let trial = TrialOptions {
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filter: eval_filter.unwrap(),
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compression: match opts.deflate {
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Deflaters::Libdeflater { compression } => compression,
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_ => 0,
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},
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};
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if trial.compression <= eval_compression {
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// No further compression required
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if png.idat_data.len() < idat_original_size || opts.force {
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Some((trial, png.idat_data.clone()))
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} else {
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None
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}
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} else {
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// Zopfli has no additional options.
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info!("Trying: {}", trial.filter);
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let original_len = idat_original_size;
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let best_size = AtomicMin::new(if opts.force { None } else { Some(original_len) });
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perform_trial(&png.raw, opts, trial, &best_size)
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}
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} else {
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// Perform full compression trials of selected filters and determine the best
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if filters.is_empty() {
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// Heuristically determine which filter to use
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if png.raw.ihdr.bit_depth.as_u8() >= 8
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&& png.raw.ihdr.color_type != colors::ColorType::Indexed
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{
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filters.insert(RowFilter::MinSum);
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} else {
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filters.insert(RowFilter::None);
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}
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}
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let mut results: Vec<TrialOptions> = Vec::with_capacity(filters.len());
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for f in &filters {
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results.push(TrialOptions {
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filter: *f,
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compression: 0,
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compression: match opts.deflate {
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Deflaters::Libdeflater { compression } => compression,
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_ => 0,
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},
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});
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}
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if deadline.passed() {
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break;
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}
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}
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info!("Trying: {} filters", results.len());
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info!("Trying: {} combinations", results.len());
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let filters: IndexMap<RowFilter, Vec<u8>> = filter
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.par_iter()
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.with_max_len(1)
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.map(|f| {
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let png = png.clone();
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(*f, png.raw.filter_image(*f))
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})
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.collect();
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let original_len = original_png.idat_data.len();
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let added_interlacing = opts.interlace == Some(1) && original_png.raw.ihdr.interlaced == 0;
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let best_size = AtomicMin::new(if opts.force { None } else { Some(original_len) });
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let results_iter = results.into_par_iter().with_max_len(1);
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let best = results_iter.filter_map(|trial| {
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if deadline.passed() {
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return None;
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}
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let filtered = &filters[&trial.filter];
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let new_idat = match opts.deflate {
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Deflaters::Libdeflater { .. } => {
|
||||
deflate::deflate(filtered, trial.compression, &best_size)
|
||||
}
|
||||
#[cfg(feature = "zopfli")]
|
||||
Deflaters::Zopfli { iterations } => deflate::zopfli_deflate(filtered, iterations),
|
||||
};
|
||||
|
||||
let new_idat = match new_idat {
|
||||
Ok(n) => n,
|
||||
Err(PngError::DeflatedDataTooLong(max)) => {
|
||||
debug!(
|
||||
" zc = {} f = {} >{} bytes",
|
||||
trial.compression, trial.filter, max,
|
||||
);
|
||||
let original_len = idat_original_size;
|
||||
let best_size = AtomicMin::new(if opts.force { None } else { Some(original_len) });
|
||||
let results_iter = results.into_par_iter().with_max_len(1);
|
||||
let best = results_iter.filter_map(|trial| {
|
||||
if deadline.passed() {
|
||||
return None;
|
||||
}
|
||||
Err(_) => return None,
|
||||
};
|
||||
|
||||
// update best size across all threads
|
||||
let new_size = new_idat.len();
|
||||
best_size.set_min(new_size);
|
||||
|
||||
debug!(
|
||||
" zc = {} f = {} {} bytes",
|
||||
trial.compression,
|
||||
trial.filter,
|
||||
new_idat.len()
|
||||
);
|
||||
|
||||
if new_size < original_len || added_interlacing || opts.force {
|
||||
Some((trial, new_idat))
|
||||
} else {
|
||||
None
|
||||
}
|
||||
});
|
||||
let best: Option<TrialWithData> = best.reduce_with(|i, j| {
|
||||
if i.1.len() < j.1.len() || (i.1.len() == j.1.len() && i.0 < j.0) {
|
||||
i
|
||||
} else {
|
||||
j
|
||||
}
|
||||
});
|
||||
perform_trial(&png.raw, opts, trial, &best_size)
|
||||
});
|
||||
best.reduce_with(|i, j| {
|
||||
if i.1.len() < j.1.len() || (i.1.len() == j.1.len() && i.0 < j.0) {
|
||||
i
|
||||
} else {
|
||||
j
|
||||
}
|
||||
})
|
||||
};
|
||||
|
||||
if let Some((opts, idat_data)) = best {
|
||||
png.idat_data = idat_data;
|
||||
|
|
@ -645,9 +591,11 @@ fn optimize_png(
|
|||
opts.filter,
|
||||
png.idat_data.len()
|
||||
);
|
||||
} else if reduction_occurred {
|
||||
} else if eval_filter.is_some() {
|
||||
*png = original_png;
|
||||
}
|
||||
} else if png.idat_data.len() >= idat_original_size {
|
||||
*png = original_png;
|
||||
}
|
||||
|
||||
perform_strip(png, opts);
|
||||
|
|
@ -713,11 +661,17 @@ fn perform_reductions(
|
|||
deadline: &Deadline,
|
||||
eval: &Evaluator,
|
||||
) {
|
||||
// The eval baseline will be set from the original png only if we attempt any reductions
|
||||
let mut baseline = Some(png.clone());
|
||||
let mut reduction_occurred = false;
|
||||
|
||||
// must be done first to evaluate rest with the correct interlacing
|
||||
if let Some(interlacing) = opts.interlace {
|
||||
if let Some(reduced) = png.change_interlacing(interlacing) {
|
||||
png = Arc::new(reduced);
|
||||
eval.try_image(png.clone());
|
||||
// If we're interlacing, we have to accept a possible file size increase
|
||||
baseline = None;
|
||||
}
|
||||
if deadline.passed() {
|
||||
return;
|
||||
|
|
@ -729,6 +683,7 @@ fn perform_reductions(
|
|||
png = Arc::new(reduced);
|
||||
eval.try_image(png.clone());
|
||||
report_reduction(&png);
|
||||
reduction_occurred = true;
|
||||
}
|
||||
if deadline.passed() {
|
||||
return;
|
||||
|
|
@ -750,6 +705,7 @@ fn perform_reductions(
|
|||
}
|
||||
}
|
||||
report_reduction(&png);
|
||||
reduction_occurred = true;
|
||||
}
|
||||
if deadline.passed() {
|
||||
return;
|
||||
|
|
@ -761,13 +717,62 @@ fn perform_reductions(
|
|||
png = Arc::new(reduced);
|
||||
eval.try_image(png.clone());
|
||||
report_reduction(&png);
|
||||
reduction_occurred = true;
|
||||
}
|
||||
if deadline.passed() {
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
try_alpha_reductions(png, &opts.alphas, eval);
|
||||
if try_alpha_reductions(png, &opts.alphas, eval) {
|
||||
reduction_occurred = true;
|
||||
}
|
||||
|
||||
if let Some(baseline) = baseline {
|
||||
if reduction_occurred {
|
||||
eval.set_baseline(baseline);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Execute a compression trial
|
||||
fn perform_trial(
|
||||
png: &PngImage,
|
||||
opts: &Options,
|
||||
trial: TrialOptions,
|
||||
best_size: &AtomicMin,
|
||||
) -> Option<TrialWithData> {
|
||||
let filtered = &png.filter_image(trial.filter);
|
||||
let new_idat = match opts.deflate {
|
||||
Deflaters::Libdeflater { .. } => deflate::deflate(filtered, trial.compression, best_size),
|
||||
#[cfg(feature = "zopfli")]
|
||||
Deflaters::Zopfli { iterations } => deflate::zopfli_deflate(filtered, iterations),
|
||||
};
|
||||
|
||||
// update best size or convert to error if not smaller
|
||||
let new_idat = match new_idat {
|
||||
Ok(n) if !best_size.set_min(n.len()) => Err(PngError::DeflatedDataTooLong(n.len())),
|
||||
_ => new_idat,
|
||||
};
|
||||
|
||||
match new_idat {
|
||||
Ok(n) => {
|
||||
let bytes = n.len();
|
||||
debug!(
|
||||
" zc = {} f = {} {} bytes",
|
||||
trial.compression, trial.filter, bytes
|
||||
);
|
||||
Some((trial, n))
|
||||
}
|
||||
Err(PngError::DeflatedDataTooLong(bytes)) => {
|
||||
debug!(
|
||||
" zc = {} f = {} >{} bytes",
|
||||
trial.compression, trial.filter, bytes,
|
||||
);
|
||||
None
|
||||
}
|
||||
Err(_) => None,
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug)]
|
||||
|
|
|
|||
13
src/main.rs
13
src/main.rs
|
|
@ -184,14 +184,11 @@ fn main() {
|
|||
)
|
||||
.arg(
|
||||
Arg::new("compression")
|
||||
.help("zlib compression levels (1-12) - Default: 12")
|
||||
.help("zlib compression level (1-12) - Default: 11")
|
||||
.long("zc")
|
||||
.takes_value(true)
|
||||
.value_name("levels")
|
||||
.validator(|x| match parse_numeric_range_opts(x, 1, 12) {
|
||||
Ok(_) => Ok(()),
|
||||
Err(_) => Err("Invalid option for compression".to_owned()),
|
||||
})
|
||||
.value_name("level")
|
||||
.value_parser(1..=12)
|
||||
.conflicts_with("zopfli"),
|
||||
)
|
||||
.arg(
|
||||
|
|
@ -541,8 +538,8 @@ fn parse_opts_into_struct(
|
|||
opts.deflate = Deflaters::Zopfli { iterations };
|
||||
}
|
||||
} else if let Deflaters::Libdeflater { compression } = &mut opts.deflate {
|
||||
if let Some(x) = matches.value_of("compression") {
|
||||
*compression = parse_numeric_range_opts(x, 1, 12).unwrap();
|
||||
if let Some(x) = matches.get_one::<i64>("compression") {
|
||||
*compression = *x as u8;
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -14,16 +14,18 @@ pub(crate) fn try_alpha_reductions(
|
|||
png: Arc<PngImage>,
|
||||
alphas: &IndexSet<AlphaOptim>,
|
||||
eval: &Evaluator,
|
||||
) {
|
||||
if alphas.is_empty() {
|
||||
return;
|
||||
) -> bool {
|
||||
match png.ihdr.color_type {
|
||||
ColorType::RGBA | ColorType::GrayscaleAlpha if !alphas.is_empty() => {
|
||||
alphas
|
||||
.par_iter()
|
||||
.with_max_len(1)
|
||||
.filter_map(|&alpha| filtered_alpha_channel(&png, alpha))
|
||||
.for_each(|image| eval.try_image(Arc::new(image)));
|
||||
true
|
||||
}
|
||||
_ => false,
|
||||
}
|
||||
|
||||
alphas
|
||||
.par_iter()
|
||||
.with_max_len(1)
|
||||
.filter_map(|&alpha| filtered_alpha_channel(&png, alpha))
|
||||
.for_each(|image| eval.try_image(Arc::new(image)));
|
||||
}
|
||||
|
||||
pub fn filtered_alpha_channel(png: &PngImage, optim: AlphaOptim) -> Option<PngImage> {
|
||||
|
|
|
|||
Loading…
Reference in a new issue