spacefill | build | |
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- | 1 | |
5 | 233 | |
- | - | |
0.0 | 2.8 | |
over 9 years ago | 2 months ago | |
Python | TeX | |
LicenseRef-PublicDomain | MIT License |
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spacefill
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Tracking mentions began in Dec 2020.
build
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Build systems à la carte (2018)
Code is available at https://github.com/snowleopard/build
I skimmed the paper - this is interesting on many aspects but I liked the breadth of what they analyzed... they use Excel as one of the examples!
I know it is a valuable skill to be able to efficiently break down problems into abstractions but I suspect you would still end up with "porcelain"[0] that would hide so much of this it might not be worth it. Or maybe it is so generic it becomes a standard of sorts (or certainly a standard way of doing things) with flavors of implementations on top of it?
In the conclusion they say:
> ... a simple recombination leads to a design for a monadic suspending cloud build system ...
Totally over my head as I still don't grok monads despite my belief I use them or something very close to them all the time without realizing it. I could not implement one. Anyway, I digress... neat paper and I will keep working on digesting it.
[0] https://git-scm.com/book/en/v2/Git-Internals-Plumbing-and-Po...
What are some alternatives?
ADPfusionSet - dynamic programming for set data structures
text-metrics - Calculate various string metrics efficiently in Haskell
lca - Improves the known complexity of online lowest common ancestor search to O(log h) persistently, and without preprocessing
funsat - An efficient, embeddable DPLL SAT solver in Haskell
graph-generators - A Haskell library for creating random Data.Graph instances using several pop
cmaes - CMA-ES wrapper in Haskell
arithmoi - Number theory: primes, arithmetic functions, modular computations, special sequences
nonlinear-optimization-ad - Several Haskell packages for numerical optimizations.
GraphSCC - Tarjan's algorithm for computing strongly connected components
edit-distance - Edit distance library for Haskell
learning-hmm - Yet another Haskell library for hidden Markov models