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License: MIT License
Data structure experimentation in scala
License: MIT License
Long time ago I started similar project after reading Okasaki's book. it turned out to be a purely academical but still you can find some interesting ideas/links inside and apply them here.
equivalent of haskell Data.Map: http://hackage.haskell.org/package/containers-0.5.6.3/docs/Data-Map.html
or scalaz.IMap
: https://github.com/scalaz/scalaz/blob/series/7.2.x/core/src/main/scala/scalaz/Map.scala
At the moment, I take jmh csv file and format it in excell. This is time consuming and error prone.
Ideally, I would like a description to write a bench display like:
map | @scala.list.map | @brique.conslist.map | @brique.conslist.map / @scala.list.map * 100
and it would generate:
method | size | List (μs / ops) | ConsList (μs / ops) | ConsList / List (%) |
---|---|---|---|---|
map | 10 | 0.215654 | 0.235267 | 109.09 |
map | 100 | 1.853072 | 3.383963 | 182.61 |
map | 1000 | 20.081988 | 38.771078 | 193.06 |
Try to leverage what @paulp did in https://github.com/paulp/psp-std
LMS: http://scala-lms.github.io/
foldLeft example: http://manojo.github.io/2015/02/19/staging-foldleft/
waiting for snapshot publication
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