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/*
This file is part of jpegxl-sys.
jpegxl-sys is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
jpegxl-sys is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with jpegxl-sys. If not, see <https://www.gnu.org/licenses/>.
*/
//! Implementation using `std::thread` of a [`JxlParallelRunner`].
//! Implementation of [`JxlParallelRunner`] that can be used to enable
//! multithreading when using the JPEG XL library. This uses `std::thread`
//! internally and related synchronization functions. The number of threads
//! created is fixed at construction time and the threads are re-used for every
//! `ThreadParallelRunner::Runner` call. Only one concurrent
//! `JxlThreadParallelRunner` call per instance is allowed at a time.
//!
//! This is a scalable, lower-overhead thread pool runner, especially suitable
//! for data-parallel computations in the fork-join model, where clients need to
//! know when all tasks have completed.
//!
//! This thread pool can efficiently load-balance millions of tasks using an
//! atomic counter, thus avoiding per-task virtual or system calls. With 48
//! hyperthreads and 1M tasks that add to an atomic counter, overall runtime is
//! 10-20x higher when using `std::async`, and ~200x for a queue-based thread
//! pool.
use c_void;
use JxlParallelRunner;
use ;
use crateJxlMemoryManager;
extern "C-unwind"