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CHANGELOG.md

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News

v1.0.1 - 2024-11-23

  • Better macro hygiene (e.g. for better support in Pluto.jl)

v1.0.0 - 2024-11-22

  • (breaking) Support for proper Julia scoping of variables inside of resumable functions.

v0.6.10 - 2024-09-08

  • Add length support by allowing @resumable length=ex function [...]
  • Adjust to an internal changes in Julia 1.12 (see julia#54341).

v0.6.9 - 2024-02-13

  • Self-referencing functionals (callable structs) are now supported as resumable functions, e.g. @resumable (f::A)() @yield f.property end.

v0.6.8 - 2024-02-11

  • Redeploy the improved performance from v0.6.6 without the issues that caused them to be reverted in v0.6.7. The issue stemmed from lack of support for recursive resumable functions in the v0.6.6 improvements.
  • Significant additions to the CI and testing of the package to avoid such issues in the future.

v0.6.7 - 2024-01-02

  • Fix stack overflow errors by reverting the changes introduced in v0.6.6.

v0.6.6 - 2023-10-08

  • Significantly improved performance on Julia 1.10 and newer by more precise inference of slot types.

v0.6.5 - 2023-09-06

  • Fix to a performance regression originally introduced by @yieldfrom.

v0.6.4 - 2023-08-08

  • Docstrings now work with @resumable functions.
  • Generated types in @resumable functions have clearer names for better debugging.
  • Line-number nodes are preserved in @resumable functions for better debugging and code coverage.

Changelog before moving to JuliaDynamics

  • 2023: v0.6.3

    • Julia 1.6 or newer is required
    • introduction of @yieldfrom to delegate to another resumable function or iterator (similar to Python's yield from)
    • resumable functions are now allowed to return values, so that r = @yieldfrom f also stores the return value of f in r

  • 2023: v0.6.2

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

  • 2021: v0.6.1

    • continue 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 explicitly 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.