Add analyze_paths_with_core, return proper path
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7 changed files with 145 additions and 77 deletions
10
CHANGELOG.md
10
CHANGELOG.md
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@ -1,8 +1,12 @@
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#Changelog
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## bliss 5.2.3
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* Fix a bug with some broken MP3 files
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* Bump ffmpeg to 5.1.0
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## bliss 0.6.0
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* Change String to PathBuf in `analyze_paths`.
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* Add `analyze_paths_with_cores`.
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## bliss 0.5.2
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* Fix a bug with some broken MP3 files.
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* Bump ffmpeg to 5.1.0.
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## bliss 0.5.0
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* Add support for CUE files.
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2
Cargo.lock
generated
2
Cargo.lock
generated
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@ -85,7 +85,7 @@ checksum = "bef38d45163c2f1dde094a7dfd33ccf595c92905c8f8f4fdc18d06fb1037718a"
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[[package]]
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name = "bliss-audio"
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version = "0.5.3"
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version = "0.6.0"
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dependencies = [
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"anyhow",
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"bliss-audio-aubio-rs",
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@ -1,6 +1,6 @@
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[package]
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name = "bliss-audio"
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version = "0.5.3"
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version = "0.6.0"
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authors = ["Polochon-street <polochonstreet@gmx.fr>"]
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edition = "2018"
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license = "GPL-3.0-only"
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@ -78,7 +78,7 @@ fn main() -> Result<()> {
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for (path, result) in song_iterator {
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match result {
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Ok(song) => analyzed_songs.push(song),
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Err(e) => println!("error analyzing {}: {}", path, e),
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Err(e) => println!("error analyzing {}: {}", path.display(), e),
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};
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}
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analyzed_songs.extend_from_slice(&songs);
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@ -180,7 +180,7 @@ fn chroma_filter(
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}),
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);
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let mut d: Array2<f64> = Array::zeros((n_chroma as usize, (&freq_bins).len()));
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let mut d: Array2<f64> = Array::zeros((n_chroma as usize, (freq_bins).len()));
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for (idx, mut row) in d.rows_mut().into_iter().enumerate() {
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row.fill(idx as f64);
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}
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@ -207,7 +207,7 @@ fn chroma_filter(
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wts *= &freq_bins;
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// np.roll(), np bro
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let mut uninit: Vec<f64> = vec![0.; (&wts).len()];
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let mut uninit: Vec<f64> = vec![0.; (wts).len()];
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unsafe {
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uninit.set_len(wts.len());
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}
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@ -150,7 +150,7 @@ impl BlissCueFile {
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// located using the sample_array and the timestamp delimiter.
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fn get_songs(&self) -> Vec<BlissResult<Song>> {
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let mut songs = Vec::new();
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for (index, tuple) in (&self.tracks[..]).windows(2).enumerate() {
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for (index, tuple) in (self.tracks[..]).windows(2).enumerate() {
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let (current_track, next_track) = (tuple[0].to_owned(), tuple[1].to_owned());
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if let Some((_, start_current)) = current_track.indices.get(0) {
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if let Some((_, end_current)) = next_track.indices.get(0) {
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170
src/lib.rs
170
src/lib.rs
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@ -32,26 +32,25 @@
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//!
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//! ### Make a playlist from a song, discarding failed songs
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//! ```no_run
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//! use bliss_audio::{analyze_paths, BlissResult, Song};
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//! use noisy_float::prelude::n32;
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//! use bliss_audio::{
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//! analyze_paths,
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//! playlist::{closest_to_first_song, euclidean_distance},
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//! BlissResult, Song,
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//! };
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//!
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//! fn main() -> BlissResult<()> {
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//! let paths = vec!["/path/to/song1", "/path/to/song2", "/path/to/song3"];
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//! let mut songs: Vec<Song> = analyze_paths(&paths)
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//! .filter_map(|(_, s)| s.ok())
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//! .collect();
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//! let mut songs: Vec<Song> = analyze_paths(&paths).filter_map(|(_, s)| s.ok()).collect();
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//!
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//! // Assuming there is a first song
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//! let first_song = songs.first().unwrap().to_owned();
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//!
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//! songs.sort_by_cached_key(|song| n32(first_song.distance(&song)));
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//! println!(
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//! "Playlist is: {:?}",
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//! songs
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//! .iter()
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//! .map(|song| song.path.to_string_lossy().to_string())
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//! .collect::<Vec<String>>()
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//! );
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//! closest_to_first_song(&first_song, &mut songs, euclidean_distance);
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//!
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//! println!("Playlist is:");
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//! for song in songs {
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//! println!("{}", song.path.display());
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//! }
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//! Ok(())
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//! }
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//! ```
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@ -137,7 +136,7 @@ pub type BlissResult<T> = Result<T, BlissError>;
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/// for (path, result) in analyze_paths(&paths) {
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/// match result {
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/// Ok(song) => println!("Do something with analyzed song {} with title {:?}", song.path.display(), song.title),
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/// Err(e) => println!("Song at {} could not be analyzed. Failed with: {}", path, e),
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/// Err(e) => println!("Song at {} could not be analyzed. Failed with: {}", path.display(), e),
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/// }
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/// }
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/// Ok(())
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@ -145,19 +144,70 @@ pub type BlissResult<T> = Result<T, BlissError>;
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/// ```
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pub fn analyze_paths<P: Into<PathBuf>, F: IntoIterator<Item = P>>(
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paths: F,
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) -> mpsc::IntoIter<(String, BlissResult<Song>)> {
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let num_cpus = num_cpus::get();
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) -> mpsc::IntoIter<(PathBuf, BlissResult<Song>)> {
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let cores = num_cpus::get();
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analyze_paths_with_cores(paths, cores)
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}
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/// Analyze songs in `paths`, and return the analyzed [Song] objects through an
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/// [mpsc::IntoIter]. `number_cores` sets the number of cores the analysis
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/// will use, capped by your system's capacity. Most of the time, you want to
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/// use the simpler `analyze_paths` functions, which autodetects the number
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/// of cores in your system.
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///
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/// Return an iterator, whose items are a tuple made of
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/// the song path (to display to the user in case the analysis failed),
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/// and a Result<Song>.
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///
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/// # Note
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///
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/// This function also works with CUE files - it finds the audio files
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/// mentionned in the CUE sheet, and then runs the analysis on each song
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/// defined by it, returning a proper [Song] object for each one of them.
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///
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/// Make sure that you don't submit both the audio file along with the CUE
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/// sheet if your library uses them, otherwise the audio file will be
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/// analyzed as one, single, long song. For instance, with a CUE sheet named
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/// `cue-file.cue` with the corresponding audio files `album-1.wav` and
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/// `album-2.wav` defined in the CUE sheet, you would just pass `cue-file.cue`
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/// to `analyze_paths`, and it will return [Song]s from both files, with
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/// more information about which file it is extracted from in the
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/// [cue info field](Song::cue_info).
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///
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/// # Example:
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/// ```no_run
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/// use bliss_audio::{analyze_paths_with_cores, BlissResult};
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///
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/// fn main() -> BlissResult<()> {
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/// let paths = vec![String::from("/path/to/song1"), String::from("/path/to/song2")];
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/// for (path, result) in analyze_paths_with_cores(&paths, 2) {
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/// match result {
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/// Ok(song) => println!("Do something with analyzed song {} with title {:?}", song.path.display(), song.title),
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/// Err(e) => println!("Song at {} could not be analyzed. Failed with: {}", path.display(), e),
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/// }
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/// }
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/// Ok(())
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/// }
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/// ```
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pub fn analyze_paths_with_cores<P: Into<PathBuf>, F: IntoIterator<Item = P>>(
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paths: F,
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number_cores: usize,
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) -> mpsc::IntoIter<(PathBuf, BlissResult<Song>)> {
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let mut cores = num_cpus::get();
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if cores > number_cores {
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cores = number_cores;
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}
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let paths: Vec<PathBuf> = paths.into_iter().map(|p| p.into()).collect();
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#[allow(clippy::type_complexity)]
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let (tx, rx): (
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mpsc::Sender<(String, BlissResult<Song>)>,
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mpsc::Receiver<(String, BlissResult<Song>)>,
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mpsc::Sender<(PathBuf, BlissResult<Song>)>,
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mpsc::Receiver<(PathBuf, BlissResult<Song>)>,
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) = mpsc::channel();
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if paths.is_empty() {
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return rx.into_iter();
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}
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let mut handles = Vec::new();
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let mut chunk_length = paths.len() / num_cpus;
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let mut chunk_length = paths.len() / cores;
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if chunk_length == 0 {
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chunk_length = paths.len();
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}
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@ -173,22 +223,16 @@ pub fn analyze_paths<P: Into<PathBuf>, F: IntoIterator<Item = P>>(
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match BlissCue::songs_from_path(&path) {
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Ok(songs) => {
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for song in songs {
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tx_thread
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.send((path.to_string_lossy().to_string(), song))
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.unwrap();
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tx_thread.send((path.to_owned(), song)).unwrap();
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}
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}
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Err(e) => tx_thread
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.send((path.to_string_lossy().to_string(), Err(e)))
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.unwrap(),
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Err(e) => tx_thread.send((path.to_owned(), Err(e))).unwrap(),
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};
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continue;
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}
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}
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let song = Song::from_path(&path);
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tx_thread
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.send((path.to_string_lossy().to_string(), song))
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.unwrap();
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tx_thread.send((path.to_owned(), song)).unwrap();
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}
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});
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handles.push(child);
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@ -218,55 +262,75 @@ mod tests {
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#[test]
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fn test_analyze_paths() {
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let paths = vec![
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String::from("./data/s16_mono_22_5kHz.flac"),
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String::from("./data/testcue.cue"),
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String::from("./data/white_noise.flac"),
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String::from("definitely-not-existing.foo"),
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String::from("not-existing.foo"),
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PathBuf::from("./data/s16_mono_22_5kHz.flac"),
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PathBuf::from("./data/testcue.cue"),
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PathBuf::from("./data/white_noise.flac"),
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PathBuf::from("definitely-not-existing.foo"),
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PathBuf::from("not-existing.foo"),
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];
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let mut results = analyze_paths(&paths)
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.map(|x| match &x.1 {
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Ok(s) => (true, s.path.to_string_lossy().to_string(), None),
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Ok(s) => (true, s.path.to_owned(), None),
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Err(e) => (false, x.0.to_owned(), Some(e.to_string())),
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})
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.collect::<Vec<_>>();
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results.sort();
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assert_eq!(
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results,
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vec![
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let expected_results = vec![
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(
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false,
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String::from("./data/testcue.cue"),
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PathBuf::from("./data/testcue.cue"),
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Some(String::from(
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"error happened while decoding file – while \
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opening format for file './data/not-existing.wav': \
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ffmpeg::Error(2: No such file or directory)."
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),),
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ffmpeg::Error(2: No such file or directory).",
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)),
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),
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(
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false,
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String::from("definitely-not-existing.foo"),
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PathBuf::from("definitely-not-existing.foo"),
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Some(String::from(
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"error happened while decoding file – while \
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opening format for file 'definitely-not-existing\
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.foo': ffmpeg::Error(2: No such file or directory)."
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),),
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.foo': ffmpeg::Error(2: No such file or directory).",
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)),
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),
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(
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false,
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String::from("not-existing.foo"),
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PathBuf::from("not-existing.foo"),
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Some(String::from(
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"error happened while decoding file – \
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while opening format for file 'not-existing.foo': \
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ffmpeg::Error(2: No such file or directory)."
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),),
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ffmpeg::Error(2: No such file or directory).",
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)),
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),
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(true, String::from("./data/s16_mono_22_5kHz.flac"), None),
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(true, String::from("./data/testcue.flac/CUE_TRACK001"), None),
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(true, String::from("./data/testcue.flac/CUE_TRACK002"), None),
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(true, String::from("./data/testcue.flac/CUE_TRACK003"), None),
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(true, String::from("./data/white_noise.flac"), None),
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],
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);
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(true, PathBuf::from("./data/s16_mono_22_5kHz.flac"), None),
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(
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true,
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PathBuf::from("./data/testcue.flac/CUE_TRACK001"),
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None,
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),
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(
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true,
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PathBuf::from("./data/testcue.flac/CUE_TRACK002"),
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None,
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),
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(
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true,
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PathBuf::from("./data/testcue.flac/CUE_TRACK003"),
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None,
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),
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(true, PathBuf::from("./data/white_noise.flac"), None),
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];
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assert_eq!(results, expected_results);
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let mut results = analyze_paths_with_cores(&paths, 1)
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.map(|x| match &x.1 {
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Ok(s) => (true, s.path.to_owned(), None),
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Err(e) => (false, x.0.to_owned(), Some(e.to_string())),
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})
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.collect::<Vec<_>>();
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results.sort();
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assert_eq!(results, expected_results);
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}
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}
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