libtorsion
go
libtorsion | go | |
---|---|---|
2 | 2,075 | |
23 | 119,718 | |
- | 0.6% | |
0.0 | 10.0 | |
9 months ago | 2 days ago | |
C | Go | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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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.
libtorsion
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Mako – a full Bitcoin implementation in C
Most of the crypto is from my more general crypto library libtorsion: https://github.com/bcoin-org/libtorsion
I originally wanted to vendor my libtorsion code and link to it, but it felt clunky since libtorsion pulls in a ton of crypto that bitcoin doesn't need. Also, since I was focusing on just a few algorithms, it gave me the opportunity to optimize a lot of them (in particular, the ECC backend was optimized for secp256k1 whereas in libtorsion it supports all kinds of curves).
Because of all of this, there's probably some leftover comments. That comment isn't true anymore. rand.c is definitely used internally for libmako, just not libtorsion.
edit: fixed link.
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Donald Knuth’s Algorithm D, its implementation in Hacker’s Delight and elsewhere
The 2-by-1 and 3-by-2 division functions described in the paper result in a very measurable speedup in my code. I think you're confusing those with the reciprocal calculation itself (which can be computed with a lookup table). I agree that part doesn't really lend itself to any significant performance benefit and is probably better calculated with a single hardware division instead.
I feel it necessary to point out that the 3-by-2 division actually has multiple benefits which are easy to miss:
1. The quotient loop can be skipped as I mentioned.
2. The "Add back" step is less likely to be triggered.
3. Since a 2-word remainder is computed with the division, you can skip 2 iterations on the multiply+subtract step.
My reimplementation of GMP documents both the 2-by-1 and 3-by-2 divisions pretty thoroughly[1][2].
[1] https://github.com/bcoin-org/libtorsion/blob/master/src/mpi....
[2] https://github.com/bcoin-org/libtorsion/blob/master/src/mpi....
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?
OpenZKP - OpenZKP - pure Rust implementations of Zero-Knowledge Proof systems.
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
mako - Bitcoin node written in C
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
nim-stint - Stack-based arbitrary-precision integers - Fast and portable with natural syntax for resource-restricted devices.
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
bcoin - Javascript bitcoin library for node.js and browsers
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).
btcd - An alternative full node bitcoin implementation written in Go (golang)
Angular - Deliver web apps with confidence 🚀
Mako - THIS IS NOT THE OFFICIAL REPO - PLEASE SUBMIT PRs ETC AT: http://github.com/sqlalchemy/mako
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020