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30-double-inverse-multiplexer/README.md

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-Style #30
-==============================
-
-Very similar to style #12, but with an additional twist
-
-Constraints:
-
-- Input data is divided in chunks, similar to what an inverse multiplexer does to input signals
-
-- A map function applies a given worker function to each chunk of data, potentially in parallel
-
-- The results of the many worker functions are reshuffled in a way
-  that allows for the reduce step to be also parallelized
-
-- The reshuffled chunks of data are given as input to a second map
-  function that takes a reducible function as input
-
-Possible names:
-
-- Double inverse multiplexer 
-- Map-reduce 
-- Hadoop style