Releases: JuliaFolds/Transducers.jl
Releases · JuliaFolds/Transducers.jl
v0.4.56
Transducers v0.4.56
Diff since v0.4.55
Merged pull requests:
- Warn that Consecutive and Reduced are incompatible in parallel folds (#451) (@tkf)
- Fix PreferParallel-to-SequentialEx transformation (#453) (@tkf)
v0.4.55
Transducers v0.4.55
Diff since v0.4.54
Merged pull requests:
- Promotion mechanism for executors (#441) (@tkf)
- Add new transducer Consecutive(size, step) (#444) (@tkf)
- Calculate basesize after retransform in dtransduce (#447) (@tkf)
- Recurse in extract_transducer(ed::Eduction) (#448) (@tkf)
v0.4.54
Transducers v0.4.54
Diff since v0.4.53
Closed issues:
- Drain / side-effects? (#436)
Merged pull requests:
- Workaround a bug in VSCode's parser (#438) (@tkf)
- Move executors from FLoops to Transducers (#439) (@tkf)
v0.4.53
Transducers v0.4.53
Diff since v0.4.52
Closed issues:
Merged pull requests:
- Fix parallel fold with StepRange{UInt64, UInt64} etc. (#433) (@tkf)
v0.4.49
Transducers v0.4.49
Diff since v0.4.48
Merged pull requests:
- Clarify that default Partition is non-overlapping (#414) (@xiaodaigh)
- Simplify docs/make.jl (for hopefully building documentation correctly in JuliaHub) (#416) (@tkf)
v0.4.48
Transducers v0.4.48
Diff since v0.4.47
Merged pull requests:
- Add a specialized fold for CartesianIndices (#400) (@tkf)
- "Nested loops" for threaded fold; option to convert Cat to TCat (#401) (@tkf)
- Add more specialization hints to the compiler (#402) (@tkf)
- Tail-call function-barrier for arrays (#403) (@tkf)
- Specialize foldl for cartesian style arrays (#407) (@tkf)
- Define is_prelude on Tuple and NamedTuple (#408) (@tkf)
- Improve compilation latency by reducing recursion limit (#413) (@tkf)
v0.4.47
Transducers v0.4.47
Diff since v0.4.46
Merged pull requests:
- Add more specialization hints to the compiler (#385) (@tkf)
- Define collect(::Foldable) rather than collect(::Eduction) (#397) (@tkf)
- Fix "WARNING: replacing module TestExamplesTutorialMissings." (#399) (@tkf)