OffsetArrays.jl
advent-of-code
| OffsetArrays.jl | advent-of-code | |
|---|---|---|
| 7 | 6 | |
| 192 | 2 | |
| 1.0% | - | |
| 6.0 | 6.6 | |
| 18 days ago | 5 months ago | |
| Julia | Rust | |
| GNU General Public License v3.0 or later | - |
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OffsetArrays.jl
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Why I am switching my programming language to 1-based array indexing.
Well, there is OffsetArrays in Julia, but it has acquired a reputation as a poison pill because most code assumes the 1-based indexing and it's easy to forget to convert the indexing and screw up the code.
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The Julia language has a number of correctness flaws
Similar correctness issues are a big part of the reason that, several years ago, I submitted a series of pull requests to Julia so that its entire test suite would run without memory errors under Valgrind, save for a few that either (i) we understood and wrote suppressions for, or (ii) we did not understand and had open issues for. Unfortunately, no one ever integrated Valgrind into the CI system, so the test suite no longer fully runs under it, last time I checked. (The test suite took nearly a day to run under Valgrind on a fast desktop machine when it worked, so is infeasible for every pull request, but could be done periodically, e.g. once every few days.)
Even a revived effort on getting core Julia tests to pass under Valgrind would not do much to help catch correctness bugs due to composing different packages in the ecosystem. For that, running in testing with `--check-bounds=yes` is probably a better solution, and much quicker to execute as well. (see e.g. https://github.com/JuliaArrays/OffsetArrays.jl/issues/282)
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-🎄- 2021 Day 6 Solutions -🎄-
You might be interested in OffsetArrays.jl.
- PyTorch: Where we are headed and why it looks a lot like Julia (but not exactly)
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Why does Julia adopt 1-based index?
Counting starts at one, as do most vector/matrix/tensor indices. If it bothers you too much, see OffsetArrays.jl and Arrays with custom indices.
- some may hate it, some may love it
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Evcxr: A Rust REPL and Jupyter Kernel
No need for another version, Julia supports custom indices by default. Check out https://docs.julialang.org/en/v1/devdocs/offset-arrays/ and https://github.com/JuliaArrays/OffsetArrays.jl
advent-of-code
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-🎄- 2021 Day 22 Solutions -🎄-
Rust GitHub. My approach is to go through all cuboids and always remove their intersection with all previously added cuboids. Then, If it is a "on" cuboid it is added to the list of cuboids. This way no cuboids will overlap and I can sum all their volumes in the end.
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-🎄- 2021 Day 19 Solutions -🎄-
Rust GitHub. Kinda ugly brute force solution which runs in ~10 sec.
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-🎄- 2021 Day 18 Solutions -🎄-
Rust GitHub. This took me much longer that I care to admit. I started with a tree-based solution, tried a list, went back to tree and the back to the list again...
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-🎄- 2021 Day 6 Solutions -🎄-
Rust GitHub
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2020 Day 21 Solutions
GitHub.
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2020 Day 20 Solutions
Rust GitHub. This took a very long time to solve, and the code is not very nice looking.
What are some alternatives?
StarWarsArrays.jl - Arrays indexed as the order of Star Wars movies
aoc2021 - My solutions for the 2021 Advent of Code
TwoBasedIndexing.jl - Two-based indexing
Advent-of-Code - My solutions for the Advent of Code puzzles (work in progress).
Optimization.jl - Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
AdventOfCode2021
TailRec.jl - A tail recursion optimization macro for julia.
AdventOfCode2021.jl - Advent of Code 2021 in Julia
julia - The Julia Programming Language
adventofcode - :christmas_tree: Advent of Code (2015-2023) in C#
StatsBase.jl - Basic statistics for Julia
adventofcode - Solutions for problems from AdventOfCode.com