385 lines
12 KiB
Rust
385 lines
12 KiB
Rust
extern crate exr;
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extern crate smallvec;
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use std::{panic};
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use std::io::{Cursor};
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use std::panic::catch_unwind;
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use std::path::{PathBuf, Path};
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use std::ffi::OsStr;
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use exr::prelude::*;
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use exr::error::{Error, UnitResult};
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use exr::prelude::pixel_vec::PixelVec;
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use exr::image::validate_results::ValidateResult;
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use rayon::prelude::IntoParallelIterator;
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use rayon::iter::ParallelIterator;
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use exr::block::samples::IntoNativeSample;
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fn exr_files() -> impl Iterator<Item=PathBuf> {
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walkdir::WalkDir::new("tests/images/valid").into_iter().map(std::result::Result::unwrap)
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.filter(|entry| entry.path().extension() == Some(OsStr::new("exr")))
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.map(walkdir::DirEntry::into_path)
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}
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/// read all images in a directory.
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/// does not check any content, just checks whether a read error or panic happened.
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fn check_files<T>(
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ignore: Vec<PathBuf>,
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operation: impl Sync + std::panic::RefUnwindSafe + Fn(&Path) -> exr::error::Result<T>
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) {
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#[derive(Debug, Eq, PartialEq, Ord, PartialOrd)]
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enum Result { Ok, Skipped, Unsupported(String), Error(String) }
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let files: Vec<PathBuf> = exr_files().collect();
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let mut results: Vec<(PathBuf, Result)> = files.into_par_iter()
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.map(|file| {
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if ignore.contains(&file) {
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return (file, Result::Skipped);
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}
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let result = catch_unwind(||{
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let prev_hook = panic::take_hook();
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panic::set_hook(Box::new(|_| (/* do not println panics */)));
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let result = operation(&file);
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panic::set_hook(prev_hook);
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result
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});
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let result = match result {
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Ok(Ok(_)) => Result::Ok,
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Ok(Err(Error::NotSupported(message))) => Result::Unsupported(message.to_string()),
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Ok(Err(Error::Io(io))) => Result::Error(format!("IoError: {:?}", io)),
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Ok(Err(Error::Invalid(message))) => Result::Error(format!("Invalid: {:?}", message)),
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Ok(Err(Error::Aborted)) => panic!("a test produced `Error::Abort`"),
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Err(_) => Result::Error("Panic".to_owned()),
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};
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match &result {
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Result::Error(_) => println!("✗ Error when processing {:?}", file),
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_ => println!("✓ No error when processing {:?}", file)
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};
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(file, result)
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})
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.collect();
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results.sort_by(|(_, a), (_, b)| a.cmp(b));
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println!("{:#?}", results.iter().map(|(path, result)| {
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format!("{:?}: {}", result, path.to_str().unwrap())
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}).collect::<Vec<_>>());
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assert!(results.len() > 80, "Not enough files were tested!");
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if let Result::Error(_) = results.last().unwrap().1 {
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panic!("A file triggered a panic");
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}
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}
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#[test]
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fn round_trip_all_files_full() {
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println!("checking full feature set");
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check_files(vec![], |path| {
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let read_image = read()
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.no_deep_data().all_resolution_levels().all_channels().all_layers().all_attributes()
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.non_parallel();
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let image = read_image.clone().from_file(path)?;
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let mut tmp_bytes = Vec::new();
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image.write().non_parallel().to_buffered(Cursor::new(&mut tmp_bytes))?;
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let image2 = read_image.from_buffered(Cursor::new(tmp_bytes))?;
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image.assert_equals_result(&image2);
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Ok(())
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})
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}
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#[test]
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fn round_trip_all_files_simple() {
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println!("checking full feature set but not resolution levels");
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check_files(vec![], |path| {
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let read_image = read()
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.no_deep_data().largest_resolution_level().all_channels().all_layers().all_attributes()
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.non_parallel();
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let image = read_image.clone().from_file(path)?;
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let mut tmp_bytes = Vec::new();
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image.write().non_parallel().to_buffered(&mut Cursor::new(&mut tmp_bytes))?;
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let image2 = read_image.from_buffered(Cursor::new(&tmp_bytes))?;
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image.assert_equals_result(&image2);
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Ok(())
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})
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}
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#[test]
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fn round_trip_all_files_rgba() {
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// these files are known to be invalid, because they do not contain any rgb channels
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let blacklist = vec![
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PathBuf::from("tests/images/valid/openexr/LuminanceChroma/Garden.exr"),
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PathBuf::from("tests/images/valid/openexr/MultiView/Fog.exr"),
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PathBuf::from("tests/images/valid/openexr/TestImages/GrayRampsDiagonal.exr"),
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PathBuf::from("tests/images/valid/openexr/TestImages/GrayRampsHorizontal.exr"),
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PathBuf::from("tests/images/valid/openexr/TestImages/WideFloatRange.exr"),
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PathBuf::from("tests/images/valid/openexr/IlmfmlmflmTest/v1.7.test.tiled.exr")
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];
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println!("checking rgba feature set");
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check_files(blacklist, |path| {
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let image_reader = read()
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.no_deep_data()
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.largest_resolution_level() // TODO all levels
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.rgba_channels(PixelVec::<(f32,f32,f32,f32)>::constructor, PixelVec::set_pixel)
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.first_valid_layer()
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.all_attributes()
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.non_parallel();
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let image = image_reader.clone().from_file(path)?;
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let mut tmp_bytes = Vec::new();
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image.write().non_parallel()
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.to_buffered(&mut Cursor::new(&mut tmp_bytes))?;
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let image2 = image_reader.from_buffered(Cursor::new(&tmp_bytes))?;
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image.assert_equals_result(&image2);
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Ok(())
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})
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}
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// TODO compare rgba vs rgb images for color content, and rgb vs rgb(a?)
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#[test]
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fn round_trip_parallel_files() {
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check_files(vec![], |path| {
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let image = read()
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.no_deep_data().all_resolution_levels().all_channels().all_layers().all_attributes()
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.from_file(path)?;
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let mut tmp_bytes = Vec::new();
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image.write().to_buffered(Cursor::new(&mut tmp_bytes))?;
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let image2 = read()
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.no_deep_data().all_resolution_levels().all_channels().all_layers().all_attributes()
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.pedantic()
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.from_buffered(Cursor::new(tmp_bytes.as_slice()))?;
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image.assert_equals_result(&image2);
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Ok(())
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})
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}
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#[test]
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fn roundtrip_unusual_2() -> UnitResult {
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let random_pixels: Vec<(f16, u32)> = vec![
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( f16::from_f32(-5.0), 4),
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( f16::from_f32(4.0), 9),
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( f16::from_f32(2.0), 6),
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( f16::from_f32(21.0), 8),
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( f16::from_f32(64.0), 7),
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];
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let size = Vec2(3, 2);
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let pixels = (0..size.area())
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.zip(random_pixels.into_iter().cycle())
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.map(|(_index, color)| color).collect::<Vec<_>>();
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let pixels = PixelVec { resolution: size, pixels };
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let channels = SpecificChannels::build()
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.with_channel("N")
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.with_channel("Ploppalori Taranos")
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.with_pixels(pixels.clone()
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);
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let image = Image::from_channels(size, channels);
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let mut tmp_bytes = Vec::new();
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image.write().non_parallel().to_buffered(&mut Cursor::new(&mut tmp_bytes))?;
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let image_reader = read()
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.no_deep_data()
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.largest_resolution_level() // TODO all levels
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.specific_channels().required("N").required("Ploppalori Taranos")
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.collect_pixels(PixelVec::<(f16,u32)>::constructor, PixelVec::set_pixel)
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.first_valid_layer()
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.all_attributes()
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.non_parallel();
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let image2 = image_reader.from_buffered(Cursor::new(&tmp_bytes))?;
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// custom compare function: considers nan equal to nan
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assert_eq!(image.layer_data.size, size, "test is buggy");
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let pixels1 = &image.layer_data.channel_data.pixels;
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let pixels2 = &image2.layer_data.channel_data.pixels;
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assert_eq!(pixels1.pixels, pixels2.pixels);
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Ok(())
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}
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// TODO test optional reader
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// TODO dedup
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#[test]
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fn roundtrip_unusual_7() -> UnitResult {
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let random_pixels: Vec<(f16, u32, f32,f32,f32,f32,f32)> = vec![
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( f16::from_f32(-5.0), 4, 1.0,2.0,3.0,4.0,5.0),
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( f16::from_f32(4.0), 8, 2.0,3.0,4.0,5.0,1.0),
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( f16::from_f32(2.0), 9, 3.0,4.0,5.0,1.0,2.0),
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( f16::from_f32(21.0), 6, 4.0,5.0,1.0,2.0,3.0),
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( f16::from_f32(64.0), 5, 5.0,1.0,2.0,3.0,4.0),
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];
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let size = Vec2(3, 2);
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let pixels = (0..size.area())
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.zip(random_pixels.into_iter().cycle())
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.map(|(_index, color)| color).collect::<Vec<_>>();
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let pixels = PixelVec { resolution: size, pixels };
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let channels = SpecificChannels::build()
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.with_channel("N")
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.with_channel("Ploppalori Taranos")
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.with_channel("4")
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.with_channel(".")
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.with_channel("____")
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.with_channel(" ")
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.with_channel(" ")
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.with_pixels(pixels.clone()
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);
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let image = Image::from_channels(size, channels);
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let mut tmp_bytes = Vec::new();
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image.write().non_parallel().to_buffered(&mut Cursor::new(&mut tmp_bytes))?;
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let image_reader = read()
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.no_deep_data()
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.largest_resolution_level() // TODO all levels
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.specific_channels()
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.required("N")
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.required("Ploppalori Taranos")
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.required("4")
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.required(".")
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.required("____")
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.required(" ")
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.required(" ")
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.collect_pixels(PixelVec::<(f16, u32, f32,f32,f32,f32,f32)>::constructor, PixelVec::set_pixel)
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.first_valid_layer()
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.all_attributes()
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.non_parallel();
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let image2 = image_reader.from_buffered(Cursor::new(&tmp_bytes))?;
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// custom compare function: considers nan equal to nan
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assert_eq!(image.layer_data.size, size, "test is buggy");
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let pixels1 = &image.layer_data.channel_data.pixels;
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let pixels2 = &image2.layer_data.channel_data.pixels;
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assert_eq!(pixels1.pixels, pixels2.pixels);
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Ok(())
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}
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#[test]
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#[cfg(target_endian = "big")] // TODO big endian pxr24
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fn pxr24_expect_error_on_big_endian(){
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let image = exr::prelude::read_all_data_from_file(
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"tests/images/valid/custom/compression_methods/f16/pxr24.exr"
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);
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match image {
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Err(Error::NotSupported(_)) => {}
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_ => panic!("pxr24 should report an error on big endian architecture")
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}
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}
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#[test]
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#[cfg(target_endian = "little")] // TODO big endian pxr24
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fn roundtrip_pxr24() {
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test_mixed_roundtrip_with_compression(Compression::PXR24)
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}
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#[test]
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fn roundtrip_rle() {
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test_mixed_roundtrip_with_compression(Compression::RLE)
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}
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#[test]
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fn roundtrip_zip1() {
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test_mixed_roundtrip_with_compression(Compression::ZIP1)
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}
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#[test]
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fn roundtrip_zip16() {
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test_mixed_roundtrip_with_compression(Compression::ZIP16)
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}
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#[test]
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fn roundtrip_b44() {
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test_mixed_roundtrip_with_compression(Compression::B44)
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}
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#[test]
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fn roundtrip_b44a() {
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test_mixed_roundtrip_with_compression(Compression::B44A)
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}
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#[test]
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fn roundtrip_piz() {
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test_mixed_roundtrip_with_compression(Compression::PIZ)
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}
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#[test]
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fn roundtrip_uncompressed() {
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test_mixed_roundtrip_with_compression(Compression::Uncompressed)
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}
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fn test_mixed_roundtrip_with_compression(compression: Compression) {
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let original_pixels: [(f16,f32,f32); 4] = [
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(0.0.to_f16(), -1.1, std::f32::consts::PI),
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(9.1.to_f16(), -3.1, std::f32::consts::TAU),
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(-10.0.to_f16(), -11.1, f32::EPSILON),
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(half::f16::NAN, 10000.1, -1024.009),
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];
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let mut file_bytes = Vec::new();
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let original_image = Image::from_encoded_channels(
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(2,2),
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Encoding {
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compression,
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.. Encoding::default()
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},
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SpecificChannels::rgb(
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PixelVec::new(Vec2(2,2), original_pixels.to_vec())
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)
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);
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original_image.write().to_buffered(Cursor::new(&mut file_bytes)).unwrap();
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let lossy_image = read().no_deep_data().largest_resolution_level()
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.rgb_channels(PixelVec::<(f16,f32,f32)>::constructor, PixelVec::set_pixel)
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.first_valid_layer().all_attributes().from_buffered(Cursor::new(&file_bytes)).unwrap();
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// use automatic lossy detection by compression method
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original_image.assert_equals_result(&original_image);
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lossy_image.assert_equals_result(&lossy_image);
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original_image.assert_equals_result(&lossy_image);
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}
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