StaticLint.jl
avm
StaticLint.jl | avm | |
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4 | 2 | |
133 | 53 | |
1.5% | - | |
5.7 | 0.0 | |
about 1 month ago | over 2 years ago | |
Julia | Common Lisp | |
GNU General Public License v3.0 or later | - |
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StaticLint.jl
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Julia v1.9.0 has been released
Yes, tooling around this is being developed in the form of linters (e.g. https://github.com/julia-vscode/StaticLint.jl) and through real compiler integration tools like the very cool https://aviatesk.github.io/JET.jl/dev/ but this is definitely somewhere that the tooling in julia is weaker than in other languages. It seems to be picking up a lot of speed though.
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The Julia language has a number of correctness flaws
It is correct if `A` is of type `Array` as normal Array in julia has 1-based indexing. It is incorrect if `A` is of some other type which subtypes `AbstractArray` as these may not follow 1-based indexing. But this case errors normally due to bounds checking. The OP talks about the case where even bounds checking is turned off using `@inbounds` for speed and thus silently giving wrong answers without giving an error.
An issue was created sometime ago in StaticLint.jl to fix this: https://github.com/julia-vscode/StaticLint.jl/issues/337
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I created an Emacs package to statically lint Julia files (using StaticLint.jl)
Statically lint = find errors in the Julia file like using variables that are not defined, and functions with the wrong arguments. For Julia, StaticLint.jl is an actively developed library that does static linting. It basically provides a bunch of functions that spit out errors in your Julia file like those that I mentioned above. If you are an Emacs editor user, this project is like a "convenience" which will run Julia silently in the background, and communicate with it to extract errors in the file that you currently have open. These errors are then highlighted in your editor view using the Flycheck package that is one of the ways to highlight errors in Emacs.
avm
- The Julia language has a number of correctness flaws
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cbaggers/rtg-math - a selection of the math routines most commonly needed for making realtime graphics in lisp (2, 3 and 4 component vectors, 3x3 and 4x4 matrices, quaternions, spherical and polar coordinates). [2019]
avm - Efficient and expressive arrayed vector math library with multi-threading and CUDA support. [MIT][200].
What are some alternatives?
LanguageServer.jl - An implementation of the Microsoft Language Server Protocol for the Julia language.
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.
julia-staticlint - Emacs integration for StaticLint.jl
polisher - Infix notation to S-expression (Polish notation) translator for Common Lisp
StatsBase.jl - Basic statistics for Julia
Petalisp - Elegant High Performance Computing
dotfiles - Linux work environment setup
numcl - Numpy clone in Common Lisp
Distributions.jl - A Julia package for probability distributions and associated functions.
cepl - Code Evaluate Play Loop