sourcekit-lsp
SciPy
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sourcekit-lsp | SciPy | |
---|---|---|
12 | 50 | |
3,124 | 12,459 | |
2.2% | 1.9% | |
9.7 | 9.9 | |
6 days ago | about 20 hours ago | |
Swift | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sourcekit-lsp
- Swift development using NeoVim instead of Xcode?
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ShadowVim embeds Neovim inside Xcode
Great!By the way,you can also use sourcekit-lsp and xcode-build-server to program in neovim directly。though still need to debug in xcode。
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Finally got "eglot" to work with "sourcekit-lsp" in iOS project
After enabling eglot, our local files will not be picked up by language server. Because the documentation(https://github.com/apple/sourcekit-lsp) mentions "IndexStoreDB is built using the Swift Package Manager."
- anyone have an ios/macos swift workflow with helix?
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How to instantly crash Xcode in 5 easy characters
Created an issue: https://github.com/apple/sourcekit-lsp/issues/636
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vim-lsp merged inlay hints support!
For Objective C it looks like you can use SourceKit-LSP or ccls as language servers.
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Desenvolvimento Swift no Windows com WSL
git clone https://github.com/apple/sourcekit-lsp.git cd sourcekit-lsp/Editors/vscode/ npm install npm run dev-package code --install-extension sourcekit-lsp-development.vsix
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Swift Syntax and Structured Editing Library
There's already an LSP server for Swift (also made for Apple): https://github.com/apple/sourcekit-lsp
This library is intended for syntactic tools: formatters, highlighters, that kind of thing.
- SourceKit-LSP now supports syntax highlighting for Swift
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NeoVim setup for iOS Dev ( xcodebuild etc. ) ?
You could probably set up something to work on Swift packages, however the tree sitter grammar for Swift hasn’t been updated since 2019. sourcekit-lsp also isn’t likely to help you out either because it’s not made to understand Xcode projects. You’d need an LSP capable of parsing a .pbxproj (I highly doubt there is one, but I haven’t looked around), which has the terrible downside of not being something Apple considers a public API and can and will introduce breaking changes on any Xcode update. An Apple engineer confirmed this with me during a lab in 2020 when I was asking about how doing some hacky things with binary Swift packages.
SciPy
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What Is a Schur Decomposition?
I guess it is a rite of passage to rewrite it. I'm doing it for SciPy too together with Propack in [1]. Somebody already mentioned your repo. Thank you for your efforts.
[1]: https://github.com/scipy/scipy/issues/18566
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Fortran codes are causing problems
Fortran codes have caused many problems for the Python package Scipy, and some of them are now being rewritten in C: e.g., https://github.com/scipy/scipy/pull/19121. Not only does R have many Fortran codes, there are also many R packages using Fortran codes: https://github.com/r-devel/r-svn, https://github.com/cran?q=&type=&language=fortran&sort=. Modern Fortran is a fine language but most legacy Fortran codes use the F77 style. When I update the R package quantreg, which uses many Fortran codes, I get a lot of warning messages. Not sure how the Fortran codes in the R ecosystem will be dealt with in the future, but they recently caused an issue in R due to the lack of compiler support for Fortran: https://blog.r-project.org/2023/08/23/will-r-work-on-64-bit-arm-windows/index.html. Some renowned packages like glmnet already have their Fortran codes rewritten in C/C++: https://cran.r-project.org/web/packages/glmnet/news/news.html
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[D] Which BLAS library to choose for apple silicon?
There are several lessons here: a) vanilla conda-forge numpy and scipy versions come with openblas, and it works pretty well, b) do not use netlib unless your matrices are small and you need to do a lot of SVDs, or idek why c) Apple's veclib/accelerate is super fast, but it is also numerically unstable. So much so that the scipy's devs dropped any support of it back in 2018. Like dang. That said, they are apparently are bring it back in, since the 13.3 release of macOS Ventura saw some major improvements in accelerate performance.
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SciPy: Interested in adopting PRIMA, but little appetite for more Fortran code
First, if you read through that scipy issue (https://github.com/scipy/scipy/issues/18118 ) the author was willing and able to relicense PRIMA under a 3-clause BSD license which is perfectly acceptable for scipy.
For the numerical recipes reference, there is a mention that scipy uses a slightly improved version of Powell's algorithm that is originally due to Forman Acton and presumably published in his popular book on numerical analysis, and that also happens to be described & included in numerical recipes. That is, unless the code scipy uses is copied from numerical recipes, which I presume it isn't, NR having the same algorithm doesn't mean that every other independent implementation of that algorithm falls under NR copyright.
- numerically evaluating wavelets?
- Fortran in SciPy: Get rid of linalg.interpolative Fortran code
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Optimization Without Using Derivatives
Reading the discussions under a previous thread titled "More Descent, Less Gradient"( https://news.ycombinator.com/item?id=23004026 ), I guess people might be interested in PRIMA ( www.libprima.net ), which provides the reference implementation for Powell's renowned gradient/derivative-free (zeroth-order) optimization methods, namely COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA.
PRIMA solves general nonlinear optimizaton problems without using derivatives. It implements Powell's solvers in modern Fortran, compling with the Fortran 2008 standard. The implementation is faithful, in the sense of being mathmatically equivalent to Powell's Fortran 77 implementation, but with a better numerical performance. In contrast to the 7939 lines of Fortran 77 code with 244 GOTOs, the new implementation is structured and modularized.
There is a discussion to include the PRIMA solvers into SciPy ( https://github.com/scipy/scipy/issues/18118 ), replacing the buggy and unmaintained Fortran 77 version of COBYLA, and making the other four solvers available to all SciPy users.
- What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician
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Emerging Technologies: Rust in HPC
if that makes your eyes bleed, what do you think about this? https://github.com/scipy/scipy/blob/main/scipy/special/specfun/specfun.f (heh)
- Python
What are some alternatives?
swift-syntax - A set of Swift libraries for parsing, inspecting, generating, and transforming Swift source code.
SymPy - A computer algebra system written in pure Python
swift - The Swift Programming Language
statsmodels - Statsmodels: statistical modeling and econometrics in Python
cxx-interop-test - Small test app for C++ Interop with Swift.
NumPy - The fundamental package for scientific computing with Python.
tree-sitter-swift - A tree-sitter grammar for the Swift programming language.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
tree-sitter-swift - Swift grammar for tree-sitter
astropy - Astronomy and astrophysics core library
alchemy - Modern, batteries included web framework for Swift.
or-tools - Google's Operations Research tools: