OffsetArrays.jl
Advent_of_Code
OffsetArrays.jl | Advent_of_Code | |
---|---|---|
7 | 14 | |
192 | 7 | |
1.0% | - | |
6.0 | 3.7 | |
18 days ago | 7 months ago | |
Julia | Python | |
GNU General Public License v3.0 or later | MIT License |
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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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Advent of Code day 12 advise
Then I came across this Python solution, which was quite short and concise. So I implemented this solution in F#, but I had to use a mutable. I couldn't figure out how to get rid of this mutable. Is there a way, or is this solution not a F# one?
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-🎄- 2021 Day 21 Solutions -🎄-
My solutution in Python. Using itertools.cycle for part 1 and functools.cache for part 2.
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-🎄- 2021 Day 16 Solutions -🎄-
My solution in Python. This one was fun! Thanks for the many samples and the detailed description.
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-🎄- 2021 Day 15 Solutions -🎄-
My solution in Python. At first I was really struggling but then I luckily found some A* pathfinding code I wrote many years ago.
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-🎄- 2021 Day 14 Solutions -🎄-
My Solution in Python. This one is pretty compact and amazingly fast thanks to collections.Counter and functools.lru_cache. Here is the function for counting the elements:
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-🎄- 2021 Day 12 Solutions -🎄-
My solution in Python. A simple search without recursion.
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-🎄- 2021 Day 11 Solutions -🎄-
My solution in Python. It's astonishing how much trouble I had today despite my experience with cellular automata.Lots of off-by-one errors and problems with synchronicity.
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-🎄- 2021 Day 7 Solutions -🎄-
My solution in Python. I realised that I could use the median for part 1 and mean for part 2 like some others here.
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-🎄- 2021 Day 6 Solutions -🎄-
My solution in Python. Today was fun and very easy. I immediately came to the same conclusion as others here to simply count the number of fish per age group.
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-🎄- 2021 Day 5 Solutions -🎄-
My solution in Python. Now it starts to get interesting. I need to remind myself to use collections and itertools more often.
What are some alternatives?
StarWarsArrays.jl - Arrays indexed as the order of Star Wars movies
advent-of-code-2021 - 🎄 My Advent of Code solutions in Rust. http://adventofcode.com/2021
TwoBasedIndexing.jl - Two-based indexing
advent-2021-kotlin - :christmas_tree: Advent of Code 2021: Solutions in Kotlin
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.
advent-of-code-2021
TailRec.jl - A tail recursion optimization macro for julia.
aoc-2021-rust
julia - The Julia Programming Language
advent-of-rust-2021 - Solutions to Advent of Code 2021 in Rust
StatsBase.jl - Basic statistics for Julia
specter - Clojure(Script)'s missing piece