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pipes-transduce: Interfacing pipes with foldl folds.

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A fold-like datatype for pipes Producers.

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  • Pipes
    • Pipes.Transduce
      • Pipes.Transduce.ByteString
      • Pipes.Transduce.Internal
      • Pipes.Transduce.Text

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Versions [RSS] 0.1.0.0, 0.2.0.0, 0.2.3.0, 0.3.0.0, 0.3.0.1, 0.3.1.0, 0.3.2.0, 0.3.3.0, 0.3.4.0, 0.4, 0.4.1, 0.4.2, 0.4.3, 0.4.3.1, 0.4.3.2, 0.4.4.0
Change log CHANGELOG
Dependencies base (>=4 && <5), bifunctors (>=5.0), bytestring (>=0.9.2.1), conceit (>=0.4.0.0), foldl (>=1.2.0), free (>=4.0), microlens (>=0.4.2.0), pipes (>=4 && <5), pipes-bytestring, pipes-concurrency (>=2.0.2), pipes-group (>=1.0.1), pipes-parse, pipes-safe, pipes-text (>=0.0.1.0), streaming (>=0.1.0.19), text (>=0.11.2.0), transformers (>=0.4.0.0), void (>=0.6) [details]
License BSD-3-Clause
Copyright 2015 Daniel Diaz
Author Daniel Diaz
Maintainer diaz_carrete@yahoo.com
Category Control
Bug tracker https://github.com/danidiaz/pipes-transduce/issues
Source repo head: git clone git@github.com:danidiaz/pipes-transduce.git
Uploaded by DanielDiazCarrete at 2018-04-06T20:58:38Z
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Reverse Dependencies 2 direct, 1 indirect [details]
Downloads 9173 total (59 in the last 30 days)
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Status Docs not available [build log]
All reported builds failed as of 2021-06-02 [all 2 reports]

Readme for pipes-transduce-0.4.2

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What's in this library?

A pair of fold-like datatypes that consume Producers from pipes and can be constructed in a variety of ways, in particular from the more versatile folds in Gabriel Gonzalez's foldl package.

The Fold1 consumes a single Producer, while the Fold2 datatype consumes two Producers concurrently.

Why was this library created?

I wanted a fold-like datatype for Producers that allowed "bracketing" operations like "withFile".

I also wanted to be able to fold two Producers concurrently (for example, merge the piped stdout & stderr streams of an external process into one unified stream).

Finally, I wanted the fold-like datatype to have a "failure option" baked in.

If you don't need any of that, you are better off using pipes and/or foldl by themselves.

Where can I find working examples for this library?

There are none yet.