cl-autowrap
go
cl-autowrap | go | |
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8 | 2,075 | |
208 | 119,718 | |
- | 0.7% | |
1.5 | 10.0 | |
15 days ago | 6 days ago | |
Python | Go | |
BSD 2-clause "Simplified" License | BSD 3-clause "New" or "Revised" License |
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cl-autowrap
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Why Is Common Lisp Not the Most Popular Programming Language?
> Lack of access to the C libraries.
???
I recently started learning Common Lisp for fun (and fun it is!) and the ease of accessing C libraries was one of the things that surprised me in a positive way.
Using https://github.com/rpav/cl-autowrap one can simply write (c-include "file.h") and the API defined in "file.h" is accessible from Lisp. I can't think of a simpler way.
Even without cl-autowrap, FFI using https://cffi.common-lisp.dev/ seems simple enough.
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An Idea for Piggybacking Python (language) ecosystem
I think the closest is cl-autowrap. I can imagine a higher level wrapper around it by which it can translate the python header file into the CL counterpart, although I'm not sure how much work the translation might entail. Also, because python and lisp semantics can differ considerably, the generated code might be trying to do weird things - again an issue of translation.
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Why Functional Programming Should Be the Future of Software
Common lisp has a "pretty OK" story for calling C code whenever some speed is needed [0,1]. In my opinion, they suffer from some of the documentation/quick start problems that common lisp has, but they're otherwise usable.
Some of Naughty Dog's late 90's/early 2000's games (Jak and Daxter, Jak II) were written in a lisp called GOAL, Game Oriented Assembly Lisp [2]
[0] https://github.com/rpav/cl-autowrap
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Common Lisp language extensions wish list?
The closest thing to what you request, that I'm aware of, is cl-autowrap (to use C code from Lisp) but it is not standard in any way. CFFI is the de facto standard for using C from Lisp across different implementations.
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I have bolted together ECL and the Irrlicht game library
:claw tracks back to 2017 as a fork of cl-autowrap with cl-autowrap/pull/83 feature.
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Common Lisp
If you're interested in FFI, then yeah CFFI is the standard. The other comments addressed speed, I also wanted to point out https://github.com/rpav/cl-autowrap which is built on top of CFFI and can help get a wrapper up and running faster. After using autowrap's c-include you can then use CFFI basically like normal or some useful autowrap/plus-c's helper functions -- e.g. in one project, I have an SDL_Event (https://wiki.libsdl.org/SDL_Event) and to access event.key.keysym.scancode I have a helper function that's just (plus-c:c-ref event sdl2-ffi:sdl-event :key :keysym :scancode). Last year I wanted to try out using FMOD, and even though it's closed source and has a (to me) "interesting" API things worked easily: https://gist.github.com/Jach/dc2ec7b9402d0ec5836a935384cacdc... More work would be needed to make a nice wrapper, type things more fully, etc. but depending on the C library you might find someone's already done that (or made a start) and made it available from quicklisp.
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[Common Lisp] Best Libraries for Interfacing with UNIX-like Operating Systems?
In recent years there has also been cl-autowrap; caveats -
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Alternative to ECL?
There is the cl-autowrap that can generate lisp packages from C header filesc- I am unsure if it sticks to ANSI C or goes beyond. It inturn depends on c2ffi for the first time around.
go
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Go: the future encoding/json/v2 module
A Discussion about including this package in Go as encoding/json/v2 has been started on the Go Github project on 2023-10-05. Please provide your feedback there.
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Evolving the Go Standard Library with math/rand/v2
I like the Principles section. Very measured and practical approach to releasing new stdlib packages. https://go.dev/blog/randv2#principles
The end of the post they mention that an encoding/json/v2 package is in the works: https://github.com/golang/go/discussions/63397
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Microsoft Maintains Go Fork for FIPS 140-2 Support
There used to be the GO FIPS branch :
https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...
But it looks dead.
And it looks like https://github.com/golang-fips/go as well.
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Borgo is a statically typed language that compiles to Go
I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:
- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644
- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412
Here are some excerpts from the latest Go survey [1]:
- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."
- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."
I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.
[1]: https://go.dev/blog/survey2024-h1-results
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.
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How to use Retrieval Augmented Generation (RAG) for Go applications
Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!
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From Homemade HTTP Router to New ServeMux
net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements
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Building a Playful File Locker with GoFr
Make sure you have Go installed https://go.dev/.
- Fastest way to get IPv4 address from string
- We now have crypto/rand back ends that ~never fail
What are some alternatives?
c2ffi - Clang-based FFI wrapper generator
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
cffi - The Common Foreign Function Interface
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
chibi-scheme - Official chibi-scheme repository
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
cl-rashell - Resilient replicant Shell Programming Library for Common Lisp
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
mal - mal - Make a Lisp
Angular - Deliver web apps with confidence 🚀
claw - Common Lisp autowrapping facility for C and C++ libraries
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020