denyhosts/clamav/libclamav_rust/.cargo/vendor/exr/tests/roundtrip.rs

385 lines
12 KiB
Rust

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