Threaded distributed MAPF

[guilyx]

• Distributed MAPF means each robot work on its own
• Threads make sense to replicate that
• /!\ Shared data among dictionaries seems to be corrupted, even with Manager().
  • Idea: use locks

Closes #17

[codecov-io]

Codecov Report

Merging #20 (b8fef81) into main (f7dbafa) will decrease coverage by 1.29%.
The diff coverage is 13.79%.

@@            Coverage Diff             @@
##             main      #20      +/-   ##
==========================================
- Coverage   42.69%   41.39%   -1.30%     
==========================================
  Files          12       12              
  Lines         534      558      +24     
==========================================
+ Hits          228      231       +3     
- Misses        306      327      +21     

Impacted Files	Coverage Δ
pymapf/decentralized/nmpc.py	35.07% <13.79%> (-4.93%)	⬇️

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