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PypeRaptor is a library that provides a functional pipeline structure.

Each execution from the pipeline takes an input item from beginning to end and return the result. The Pipeline may be modified by add operator and expects a Node. To execute a Pipeline for a single item, user can execute push function with item. This execution will pushes the input through the pipeline calling every function in the way. To execute several items, user can set an Iterable in process function.

A generator can be part of the pipeline, and is recommended to be the first item to when using Pipeline in parallel mode. When in parallel mode, PypeRaptor provides a Device as in a way to reserve resources and avoid racing conditions among its threads.

For examples go to: http://github.com/fsan/pyperaptor

Release files for pyperaptor 0.1.3.1

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Source distribution for pyperaptor 0.1.3.1
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Release files / pyperaptor-0.1.3.1.tar.gz

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