ResumableFunctions

C# has a convenient way to create iterators using the yield return statement. The package ResumableFunctions provides the same functionality for the Julia language by introducing the @resumable and the @yield macros. These macros can be used to replace the Task switching functions produce and consume which were deprecated in Julia v0.6. Channels are the preferred way for inter-task communication in julia v0.6+, but their performance is subpar for iterator applications. See the benchmarks section below.

Build Status & Coverage

Installation

ResumableFunctions is a registered package and can be installed by running:

using Pkg
Pkg.add("ResumableFunctions")

Documentation

using ResumableFunctions

@resumable function fibonacci(n::Int) :: Int
  a = 0
  b = 1
  for i in 1:n
    @yield a
    a, b = b, a+b
  end
end

for fib in fibonacci(10)
  println(fib)
end

Benchmarks

The following block is the result of running julia --project=. benchmark/benchmarks.jl on a Macbook Pro with following processor: Intel Core i9 2,4 GHz 8-Core. Julia version 1.5.3 was used.

Fibonacci with Int values:

Direct: 
  27.184 ns (0 allocations: 0 bytes)
ResumableFunctions: 
  27.503 ns (0 allocations: 0 bytes)
Channels csize=0: 
  2.438 ms (101 allocations: 3.08 KiB)
Channels csize=1: 
  2.546 ms (23 allocations: 1.88 KiB)
Channels csize=20: 
  138.681 μs (26 allocations: 2.36 KiB)
Channels csize=100: 
  35.071 μs (28 allocations: 3.95 KiB)
Task scheduling
  17.726 μs (86 allocations: 3.31 KiB)
Closure: 
  1.948 μs (82 allocations: 1.28 KiB)
Closure optimised: 
  25.910 ns (0 allocations: 0 bytes)
Closure statemachine: 
  28.048 ns (0 allocations: 0 bytes)
Iteration protocol: 
  41.143 ns (0 allocations: 0 bytes)

Fibonacci with BigInt values:

Direct: 
  5.747 μs (188 allocations: 4.39 KiB)
ResumableFunctions: 
  5.984 μs (191 allocations: 4.50 KiB)
Channels csize=0: 
  2.508 ms (306 allocations: 7.75 KiB)
Channels csize=1: 
  2.629 ms (306 allocations: 7.77 KiB)
Channels csize=20: 
  150.274 μs (309 allocations: 8.25 KiB)
Channels csize=100: 
  44.592 μs (311 allocations: 9.84 KiB)
Task scheduling
  24.802 μs (198 allocations: 6.61 KiB)
Closure: 
  7.064 μs (192 allocations: 4.47 KiB)
Closure optimised: 
  5.809 μs (190 allocations: 4.44 KiB)
Closure statemachine: 
  5.826 μs (190 allocations: 4.44 KiB)
Iteration protocol: 
  5.822 μs (190 allocations: 4.44 KiB)

Licence & References

Authors

• Ben Lauwens, Royal Military Academy, Brussels, Belgium.

Contributing

• To discuss problems or feature requests, file an issue. For bugs, please include as much information as possible, including operating system, julia version, and version of MacroTools.
• To contribute, make a pull request. Contributions should include tests for any new features/bug fixes.

Release notes

• 2023: v0.6.2

  • Julia v1.10 compatibility fix
  • resumable functions can now dispatch on types

• 2021: v0.6.1

  • continu in loop works

• 2021: v0.6.0

  • introduction of @nosave to keep a variable out of the saved structure.
  • optimized for loop.

• 2020: v0.5.2 is Julia v1.6 compatible.

• 2019: v0.5.1

  • inference problem solved: force iterator next value to be of type Union of Tuple and Nothing.

• 2019: v0.5.0 is Julia v1.2 compatible.

• 2018: v0.4.2 prepare for Julia v1.1

  • better inference caused a problem;).
  • iterator with a specified rtype is fixed.

• 2018: v0.4.0 is Julia v1.0 compatible.

• 2018: v0.3.1 uses the new iteration protocol.

  • the new iteration protocol is used for a @resumable function based iterator.
  • the for loop transformation implements also the new iteration protocol.

• 2018: v0.3 is Julia v0.7 compatible.

  • introduction of let block to allow variables not te be persisted between @resumable function calls (EXPERIMENTAL).
  • the eltype of a @resumable function based iterator is its return type if specified, otherwise Any.

• 2018: v0.2 the iterator now behaves as a Python generator: only values that are explicitely yielded are generated; the return value is ignored and a warning is generated.

• 2017: v0.1 initial release that is Julia v0.6 compatible:

  • Introduction of the @resumable and the @yield macros.
  • A @resumable function generates a type that implements the iterator interface.
  • Parametric @resumable functions are supported.

Caveats

• In a try block only top level @yield statements are allowed.
• In a finally block a @yield statement is not allowed.
• An anonymous function can not contain a @yield statement.