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Verified Commit 5e2999e3 authored by David Beniamine's avatar David Beniamine
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# Parallel run and write in python
This modules aims at providing a simple way to run taks in parallel in a degraded environement :
+ Tasks can continue to run even if some fails, errors will be logged
+ Output and errors logs can be unified among the tasks
+ Logs can be order the same way as the tasks for better lisibility
## Usage
Do a parallel imap[_unordered](func, tasks) with numProc processes
+ func should always return something
+ Tasks should be an iterable which items are acceptable args for func
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