Use Distributed.pmap in ParallelTableTransform and ColwiseFeatureTransform

[eliascarv]

closes #286

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 94.93%. Comparing base (56e0add) to head (4893c3c).

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #288      +/-   ##
==========================================
- Coverage   94.95%   94.93%   -0.02%     
==========================================
  Files          48       48              
  Lines        1388     1383       -5     
==========================================
- Hits         1318     1313       -5     
  Misses         70       70              

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[juliohm]

We need to benchmark the change, compare it with the previous code. Make sure that pmap is using the CachePool if needed. I know it is the default in latest Julia versions, please double check if Julia v1.9 has it as the default.

[juliohm]

Additionally, we use tcollect in ColwiseTransform, and should probably use a pmap too. If that is indeed the case, please update the code, drop Transducers.jl from the list of deps, and update the documentation accordingly.