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//! **Sh**ared **re**source **d**ispatcher
//!
//! This library allows to dispatch
//! systems, which can have interdependencies,
//! shared and exclusive resource access, in parallel.
//!
//! # Examples
//!
//! ```rust
//! extern crate shred;
//! #[macro_use]
//! extern crate shred_derive;
//!
//! use shred::{DispatcherBuilder, Read, Resource, Resources, System, Write};
//!
//! #[derive(Debug, Default)]
//! struct ResA;
//!
//! #[derive(Debug, Default)]
//! struct ResB;
//!
//! #[derive(SystemData)]
//! struct Data<'a> {
//! a: Read<'a, ResA>,
//! b: Write<'a, ResB>,
//! }
//!
//! struct EmptySystem;
//!
//! impl<'a> System<'a> for EmptySystem {
//! type SystemData = Data<'a>;
//!
//! fn run(&mut self, bundle: Data<'a>) {
//! println!("{:?}", &*bundle.a);
//! println!("{:?}", &*bundle.b);
//! }
//! }
//!
//!
//! fn main() {
//! let mut resources = Resources::new();
//! let mut dispatcher = DispatcherBuilder::new()
//! .with(EmptySystem, "empty", &[])
//! .build();
//! resources.insert(ResA);
//! resources.insert(ResB);
//!
//! dispatcher.dispatch(&mut resources);
//! }
//! ```
//!
//! Once you are more familiar with how system data and parallelization works,
//! you can take look at a more flexible and performant way to dispatch: `ParSeq`.
//! Using it is bit trickier, but it allows dispatching without any virtual function calls.
//!
extern crate arrayvec;
extern crate fxhash;
extern crate mopa;
extern crate rayon;
extern crate smallvec;
pub use AsyncDispatcher;
pub use ;
pub use ;
pub use ;
pub use ;
pub use ;