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#![doc(html_root_url = "https://docs.rs/rayon/1.2")] #![deny(missing_debug_implementations)] #![deny(missing_docs)] #![deny(unreachable_pub)] //! Data-parallelism library that makes it easy to convert sequential //! computations into parallel //! //! Rayon is lightweight and convenient for introducing parallelism into existing //! code. It guarantees data-race free executions and takes advantage of //! parallelism when sensible, based on work-load at runtime. //! //! # How to use Rayon //! //! There are two ways to use Rayon: //! //! - **High-level parallel constructs** are the simplest way to use Rayon and also //! typically the most efficient. //! - [Parallel iterators][iter module] make it easy to convert a sequential iterator to //! execute in parallel. //! - The [`par_sort`] method sorts `&mut [T]` slices (or vectors) in parallel. //! - [`par_extend`] can be used to efficiently grow collections with items produced //! by a parallel iterator. //! - **Custom tasks** let you divide your work into parallel tasks yourself. //! - [`join`] is used to subdivide a task into two pieces. //! - [`scope`] creates a scope within which you can create any number of parallel tasks. //! - [`ThreadPoolBuilder`] can be used to create your own thread pools or customize //! the global one. //! //! [iter module]: iter/index.html //! [`join`]: fn.join.html //! [`scope`]: fn.scope.html //! [`par_sort`]: slice/trait.ParallelSliceMut.html#method.par_sort //! [`par_extend`]: iter/trait.ParallelExtend.html#tymethod.par_extend //! [`ThreadPoolBuilder`]: struct.ThreadPoolBuilder.html //! //! # Basic usage and the Rayon prelude //! //! First, you will need to add `rayon` to your `Cargo.toml` and put //! `extern crate rayon` in your main file (`lib.rs`, `main.rs`). //! //! Next, to use parallel iterators or the other high-level methods, //! you need to import several traits. Those traits are bundled into //! the module [`rayon::prelude`]. It is recommended that you import //! all of these traits at once by adding `use rayon::prelude::*` at //! the top of each module that uses Rayon methods. //! //! These traits give you access to the `par_iter` method which provides //! parallel implementations of many iterative functions such as [`map`], //! [`for_each`], [`filter`], [`fold`], and [more]. //! //! [`rayon::prelude`]: prelude/index.html //! [`map`]: iter/trait.ParallelIterator.html#method.map //! [`for_each`]: iter/trait.ParallelIterator.html#method.for_each //! [`filter`]: iter/trait.ParallelIterator.html#method.filter //! [`fold`]: iter/trait.ParallelIterator.html#method.fold //! [more]: iter/trait.ParallelIterator.html#provided-methods //! //! # Crate Layout //! //! Rayon extends many of the types found in the standard library with //! parallel iterator implementations. The modules in the `rayon` //! crate mirror [`std`] itself: so, e.g., the `option` module in //! Rayon contains parallel iterators for the `Option` type, which is //! found in [the `option` module of `std`]. Similarly, the //! `collections` module in Rayon offers parallel iterator types for //! [the `collections` from `std`]. You will rarely need to access //! these submodules unless you need to name iterator types //! explicitly. //! //! [the `option` module of `std`]: https://doc.rust-lang.org/std/option/index.html //! [the `collections` from `std`]: https://doc.rust-lang.org/std/collections/index.html //! [`std`]: https://doc.rust-lang.org/std/ //! //! # Other questions? //! //! See [the Rayon FAQ][faq]. //! //! [faq]: https://github.com/rayon-rs/rayon/blob/master/FAQ.md extern crate crossbeam_deque; extern crate either; extern crate rayon_core; #[cfg(test)] extern crate rand; #[cfg(test)] extern crate rand_xorshift; #[cfg(test)] #[macro_use] extern crate doc_comment; #[cfg(test)] doctest!("../README.md"); #[macro_use] mod delegate; #[macro_use] mod private; mod split_producer; pub mod collections; pub mod iter; pub mod option; pub mod prelude; pub mod range; pub mod range_inclusive; pub mod result; pub mod slice; pub mod str; pub mod vec; mod math; mod par_either; mod compile_fail; pub use rayon_core::FnContext; pub use rayon_core::ThreadBuilder; pub use rayon_core::ThreadPool; pub use rayon_core::ThreadPoolBuildError; pub use rayon_core::ThreadPoolBuilder; pub use rayon_core::{current_num_threads, current_thread_index}; pub use rayon_core::{join, join_context}; pub use rayon_core::{scope, Scope}; pub use rayon_core::{scope_fifo, ScopeFifo}; pub use rayon_core::{spawn, spawn_fifo};