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Merge pull request #10 from lmiq/master
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update links to JuliaFolds2/ChunkSplitters.jl
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carstenbauer authored Jan 29, 2024
2 parents 7a8304f + f6bae88 commit 67c4d73
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8 changes: 4 additions & 4 deletions README.md
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Expand Up @@ -7,7 +7,7 @@ multithreaded calculations via higher-order functions, with a focus on [data par

Unlike most JuliaFolds2 packages, it is not built off of [Transducers.jl](https://github.com/JuliaFolds2/Transducers.jl), nor is it a building block of Transducers.jl, instead OhMyThreads is meant to be a simpler, more maintainable, and more accessible alternative to packages like [ThreadsX.jl](https://github.com/tkf/ThreadsX.jl) or [Folds.jl](https://github.com/JuliaFolds2/Folds.jl).

OhMyThreads.jl re-exports the very useful function `chunks` from [ChunkSplitters.jl](https://github.com/m3g/ChunkSplitters.jl), and provides the following functions:
OhMyThreads.jl re-exports the very useful function `chunks` from [ChunkSplitters.jl](https://github.com/JuliaFolds2/ChunkSplitters.jl), and provides the following functions:

<details><summary> tmapreduce </summary>
<p>
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(√1 + √2) + (√3 + √4) + √5
```

This data is divided into chunks to be worked on in parallel using [ChunkSplitters.jl](https://github.com/m3g/ChunkSplitters.jl).
This data is divided into chunks to be worked on in parallel using [ChunkSplitters.jl](https://github.com/JuliaFolds2/ChunkSplitters.jl).

## Keyword arguments:

Expand Down Expand Up @@ -79,7 +79,7 @@ is the parallelized version of
(√1 + √2) + (√3 + √4) + √5
```

This data is divided into chunks to be worked on in parallel using [ChunkSplitters.jl](https://github.com/m3g/ChunkSplitters.jl).
This data is divided into chunks to be worked on in parallel using [ChunkSplitters.jl](https://github.com/JuliaFolds2/ChunkSplitters.jl).

## Keyword arguments:

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(1 + 2) + (3 + 4) + 5
```

This data is divided into chunks to be worked on in parallel using [ChunkSplitters.jl](https://github.com/m3g/ChunkSplitters.jl).
This data is divided into chunks to be worked on in parallel using [ChunkSplitters.jl](https://github.com/JuliaFolds2/ChunkSplitters.jl).

## Keyword arguments:

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2 changes: 1 addition & 1 deletion readme_generator.jl
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Expand Up @@ -11,7 +11,7 @@ multithreaded calculations via higher-order functions, with a focus on [data par
Unlike most JuliaFolds2 packages, it is not built off of [Transducers.jl](https://github.com/JuliaFolds2/Transducers.jl), nor is it a building block of Transducers.jl, instead OhMyThreads is meant to be a simpler, more maintainable, and more accessible alternative to packages like [ThreadsX.jl](https://github.com/tkf/ThreadsX.jl) or [Folds.jl](https://github.com/JuliaFolds2/Folds.jl).
OhMyThreads.jl re-exports the very useful function `chunks` from [ChunkSplitters.jl](https://github.com/m3g/ChunkSplitters.jl), and provides the following functions:
OhMyThreads.jl re-exports the very useful function `chunks` from [ChunkSplitters.jl](https://github.com/JuliaFolds2/ChunkSplitters.jl), and provides the following functions:
""")
for sym (:tmapreduce, :treducemap, :treduce, :tmap, :tmap!, :tforeach, :tcollect)
println(io, "<details><summary> $sym </summary>\n<p>\n")
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6 changes: 3 additions & 3 deletions src/OhMyThreads.jl
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Expand Up @@ -28,7 +28,7 @@ is the parallelized version of
(√1 + √2) + (√3 + √4) + √5
This data is divided into chunks to be worked on in parallel using [ChunkSplitters.jl](https://github.com/m3g/ChunkSplitters.jl).
This data is divided into chunks to be worked on in parallel using [ChunkSplitters.jl](https://github.com/JuliaFolds2/ChunkSplitters.jl).
## Keyword arguments:
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(√1 + √2) + (√3 + √4) + √5
This data is divided into chunks to be worked on in parallel using [ChunkSplitters.jl](https://github.com/m3g/ChunkSplitters.jl).
This data is divided into chunks to be worked on in parallel using [ChunkSplitters.jl](https://github.com/JuliaFolds2/ChunkSplitters.jl).
## Keyword arguments:
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(1 + 2) + (3 + 4) + 5
This data is divided into chunks to be worked on in parallel using [ChunkSplitters.jl](https://github.com/m3g/ChunkSplitters.jl).
This data is divided into chunks to be worked on in parallel using [ChunkSplitters.jl](https://github.com/JuliaFolds2/ChunkSplitters.jl).
## Keyword arguments:
Expand Down

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