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I'm breaking this down into smaller, more manageable chunks; this is the refactor of the mutual information calculations into pure python, using KVS to multiprocess. There's a new wrapper for the KVS client that gives a bit more functionality, and the MI module is a drop-in replacement for the mi_R module.

I've also included a few minor changes to the workflow that should substantially help the memory usage.

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codecov-io commented Nov 19, 2018

Codecov Report

Merging #73 into master will increase coverage by 2.35%.
The diff coverage is 91.37%.

Impacted file tree graph

@@            Coverage Diff            @@
##           master     #73      +/-   ##
=========================================
+ Coverage   72.25%   74.6%   +2.35%     
=========================================
  Files          20      22       +2     
  Lines        1600    1768     +168     
=========================================
+ Hits         1156    1319     +163     
- Misses        444     449       +5
Impacted Files Coverage Δ
inferelator_ng/bbsr_tfa_workflow.py 0% <0%> (ø) ⬆️
inferelator_ng/workflow.py 75% <0%> (ø) ⬆️
inferelator_ng/tests/test_mi.py 100% <100%> (ø)
inferelator_ng/tests/test_workflow_stub.py 65.38% <100%> (ø) ⬆️
inferelator_ng/tests/test_kvs.py 100% <100%> (ø)
inferelator_ng/utils.py 59.45% <78.57%> (-11.13%) ⬇️
inferelator_ng/mi.py 95.74% <95.74%> (ø)
inferelator_ng/kvs_controller.py 96.29% <96.29%> (ø)
... and 1 more

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