apd
root
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apd | root | |
---|---|---|
7 | 31 | |
597 | 2,418 | |
2.3% | 2.1% | |
3.8 | 10.0 | |
about 1 month ago | 2 days ago | |
Go | C++ | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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apd
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What libraries are missing?
https://github.com/cockroachdb/apd is currently the best implementation in the ecosystem (performance, correctness). Have you already evaluated it?
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Lack of Decimal Support
FWIW I think cockroachdb/apd is the best third party option. While building bojanz/currency I've evaluated and benchmarked the others and found them either less maintained, slower, or both.
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Small Fixed-Point Decimals library
I have a package for handling currency amounts and calculations that is based on cockroachdb/apd, in my opinion the best arbitrary-precision decimal implementation in Go right now. So, I can offer a bit of insight.
- cockroachdb/apd v3.0.0
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Library recommendation -- money calculations, more accurate handling of floats
The best decimal package is still cockroachdb/apd. I wrap it in bojanz/currency for money handling.
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What libraries from other languages do you wish were ported over into go?
https://github.com/cockroachdb/apd remains the best decimal library for Go (ericlagergren/decimal is faster but unmaintained).
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currency - Currency amounts and formatting for Go
Note: In benchmarks ericlagergren/decimal was noticeably faster than cockroachdb/apd, but it has known bugs when used with go mod, so I decided to wait and go with cockroachdb/apd for now. The Amount struct wraps the decimal implementation completely, making it easy to do the swap later without breaking BC.
root
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If you can't reproduce the model then it's not open-source
I think the process of data acquisition isn't so clear-cut. Take CERN as an example: they release loads of data from various experiments under the CC0 license [1]. This isn't just a few small datasets for classroom use; we're talking big-league data, like the entire first run data from LHCb [2].
On their portal, they don't just dump the data and leave you to it. They've got guides on analysis and the necessary tools (mostly open source stuff like ROOT [3] and even VMs). This means anyone can dive in. You could potentially discover something new or build on existing experiment analyses. This setup, with open data and tools, ticks the boxes for reproducibility. But does it mean people need to recreate the data themselves?
Ideally, yeah, but realistically, while you could theoretically rebuild the LHC (since most technical details are public), it would take an army of skilled people, billions of dollars, and years to do it.
This contrasts with open source models, where you can retrain models using data to get the weights. But getting hold of the data and the cost to reproduce the weights is usually prohibitive. I get that CERN's approach might seem to counter this, but remember, they're not releasing raw data (which is mostly noise), but a more refined version. Try downloading several petabytes of raw data if not; good luck with that. But for training something like a LLM, you might need the whole dataset, which in many cases have its own problems with copyrights…etc.
[1] https://opendata.cern.ch/docs/terms-of-use
[2] https://opendata.cern.ch/docs/lhcb-releases-entire-run1-data...
[3] https://root.cern/
- What software is used to generate plots/graphs like this seen in many particle physics papers?
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Interactive GCC (igcc) is a read-eval-print loop (REPL) for C/C++
The odd part is that this is not just for fun. For many physicists when I was at CERN, a C++ REPL was a commonly used tool to interactively debug analyses to such a degree that many never compiled their code. Back then, I believe, it was some custom implementation included in ROOT (https://root.cern/). I even went out of my way to write C++ code compatible to it just so it could run with this implementation, otherwise some colleagues weren't interested in collaborating at all.
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Stable Diffusion in pure C/C++
That Python ML code is calling C++ code running in the GPU, one more reason to use C++ across the whole stack.
CERN already used prototyping in C++, with ROOT and CINT, 20 years ago.
https://root.cern/
Nowadays it is even usable from Netbooks via Xeus.
It is more a matter of lack of exposure to C++ interpreters than anything else.
- Root: Analyzing Petabytes of Data, Scientifically
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Aliens might be waiting for humans to solve a puzzle
Quantum computing is a pretty interesting science too. https://home.cern/news/press-release/knowledge-sharing/cern-quantum-technology-initiative-unveils-strategic-roadmap they have to deal with lots of data streaming too https://root.cern/
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cppyy Generated Wrappers and Type Annotations
I'm a user of CERN's ROOT (https://root.cern/) and while I'd usually write in C++, I've been trying to write as much Python as I can recently to get a bit better in the language.
- Root: Analyzing Petabytes of Scientific Data
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Span: how to cast pointer of pointer to other types?
I'm dealing with a C++ software called ROOT made by CERN, which is, if I'm not wrong, the only C++ API that we could use for data analysis such as plotting histograms, fitting multi-parameter functions and storing data in the size of TB to the disk and many more. That's the only reason why physicists still stick to this software. you can check here .
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How exactly would you go about writing a program to simplify algebraic expressions?
Hey, I found something which could be useful: https://root.cern
What are some alternatives?
decimal - Arbitrary-precision fixed-point decimal numbers in Go
xeus - Implementation of the Jupyter kernel protocol in C++
decimal - A high-performance, arbitrary-precision, floating-point decimal library.
PyMesh - Geometry Processing Library for Python
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
tfgo - Tensorflow + Go, the gopher way
currency - Currency handling for Go.
windows-telemetry-blocklist - Blocks outgoing Windows telemetry, compatible with Pi-Hole.
centrifuge - Real-time messaging library for Go. The simplest way to add feature-rich and scalable WebSocket support to your application. The core of Centrifugo server.
ent - An entity framework for Go
tidytable - Tidy interface to 'data.table'