SymPy VS dmca

Thank you for your interest. There are some interesting examples in the SWE-bench-lite benchmark which are resolved by AutoCodeRover:

- From sympy: https://github.com/sympy/sympy/issues/13643. AutoCodeRover's patch for it: https://github.com/nus-apr/auto-code-rover/blob/main/results...

- Another one from scikit-learn: https://github.com/scikit-learn/scikit-learn/issues/13070. AutoCodeRover's patch (https://github.com/nus-apr/auto-code-rover/blob/main/results...) modified a few lines below (compared to the developer patch) and wrote a different comment.

There are more examples in the results directory (https://github.com/nus-apr/auto-code-rover/tree/main/results).

That's interesting. You should consider yourself lucky to have met Wolfram employees, as they are obviously vastly outnumbered by users of Mathematica.

I have not met any developers for either of these products but I know that SymPy has a huge list of contributors for a project of its size. See: https://github.com/sympy/sympy/blob/master/AUTHORS

You may not be hearing about SymPy users because SymPy is not a monolithic product. It is a library. If you know mathematicians big into using Python, they are probably aware of SymPy as it is the main attraction when it comes to symbolic computation in Python.

https://github.com/sympy/sympy/issues/9479 suggests that multivariate inequalities are still unsolved in SymPy, though it looks like https://github.com/sympy/sympy/pull/21687 was merged in August. This probably isn't yet implemented in C++ in SymForce yet?

bug report opened https://github.com/sympy/sympy/issues/25507

https://news.ycombinator.com/item?id=36463580

From https://news.ycombinator.com/item?id=36159017 :

> sympy.utilities.lambdify.lambdify() https://github.com/sympy/sympy/blob/a76b02fcd3a8b7f79b3a88df... :

>> """Convert a SymPy expression into a function that allows for fast numeric evaluation [with the CPython math module, mpmath, NumPy, SciPy, CuPy, JAX, TensorFlow, SymPy, numexpr,]*

From https://westurner.github.io/hnlog/#comment-19084622 :

> "latex2sympy parses LaTeX math expressions and converts it into the equivalent SymPy form" and is now merged into SymPy master and callable with sympy.parsing.latex.parse_latex(). It requires antlr-python-runtime to be installed. https://github.com/augustt198/latex2sympy https://github.com/sympy/sympy/pull/13706

ENH: 'generate a Jupyter notebook' (nbformat .ipynb JSON) function from this stem formula

https://en.wikipedia.org/wiki/Vectorization :

> Array programming, a style of computer programming where operations are applied to whole arrays instead of individual elements

> Automatic vectorization, a compiler optimization that transforms loops to vector operations

> Image tracing, the creation of vector from raster graphics

> Word embedding, mapping words to vectors, in natural language processing

> Vectorization (mathematics), a linear transformation which converts a matrix into a column vector

Vector (disambiguation) https://en.wikipedia.org/wiki/Vector

> Vector (mathematics and physics):

> Row and column vectors, single row or column matrices

> Vector space

> Vector field, a vector for each point

And then there are a number of CS usages of the word vector for 1D arrays.

Compute kernel: https://en.m.wikipedia.org/wiki/Compute_kernel

GPGPU > Vectorization, Stream Processing > Compute kernels: https://en.wikipedia.org/wiki/General-purpose_computing_on_g...

sympy.utilities.lambdify.lambdify() https://github.com/sympy/sympy/blob/a76b02fcd3a8b7f79b3a88df... :

> """Convert a SymPy expression into a function that allows for fast numeric evaluation [with the CPython math module, mpmath, NumPy, SciPy, CuPy, JAX, TensorFlow, SymPt, numexpr,]

pyorch lambdify PR, sympytorch: https://github.com/sympy/sympy/pull/20516#issuecomment-78428...

Sympytorch:

> Turn SymPy expressions into PyTorch Modules.

> SymPy floats (optionally) become trainable parameters. SymPy symbols are inputs to the Module.

sympy2jax https://github.com/MilesCranmer/sympy2jax :

> Turn SymPy expressions into parametrized, differentiable, vectorizable, JAX functions.

> All SymPy floats become trainable input parameters. SymPy symbols become columns of a passed matrix.

Look at sympy.isprime for a carefully-optimized pure-Python solution (though if gmpy2 is installed, which it usually is, it will use that instead after trying the easiest cases)

Every DMCA takedown notice in https://github.com/github/dmca is a net win for git as a decentralized version control system, especially for repositories that require signed commits. Unfortunately, some people upload only a snapshot of their repository working directory instead of... using git like it is supposed to be used I guess?

I’m with you thus far, but I’m trying to parse the notice to see why GitHub is even complying (see https://github.com/github/dmca/blob/master/2024/03/2024-03-1... ) and I think Torrentfreak got it wrong. I think they’re trying to claim infringement on Plex Server, but the English in the takedown notice is barely legible (and it feels like a mixup between trademarks and copyright), to the point that I find GitHub’s compliance odd.

Text of tweet thread:

Hello everyone. We have some unfortunate news to share with you.

Today, we received a DMCA takedown from Valve on all our public GitHub repositories and all its forks made by the community.

https://github.com/github/dmca/blob/master/2024/01/2024-01-1...

While we were discussing the project's future internally recently, we already came to the conclusion to stop the development of the project due to the current state of the code being unusable anymore with s&box's recent major engine changes, and that we overall moved on from it.

Sadly, this means this DMCA takedown is the nail in the coffin. We cannot bring it back and we've hit Valve's attention, it seems like they definitely don't want us to use their IP (which is totally fair and legal from them).

DMCA from GitHub: https://github.com/github/dmca/blob/master/2023/10/2023-10-10-mazda.md

https://github.com/github/dmca/blob/master/2023/10/2023-10-10-mazda.md

https://www.thedrive.com/news/mazda-slaps-developer-with-cease-and-desist-for-diy-smart-home-integration

https://web.archive.org/web/20231014070536/https://old.reddit.com/r/homeassistant/comments/1771ywu/removal_of_mazda_connected_services_integration/

https://community.home-assistant.io/t/mazda-connected-service/354221

https://community.home-assistant.io/t/removal-of-mazda-connected-services-integration/625885/36

https://www.home-assistant.io/

https://youtu.be/l2qKEkG29gI

https://youtu.be/NfiIXooD77s

https://youtu.be/PrtbYu1OYhY

https://youtu.be/nigJMu0lUbM

https://youtu.be/qLlxOD5IHYc

> Is there anything that average folk can do against these notices when they're sent to companies like GitHub?

They can file a counter-notice, commit to accepting service of process if the other party wants to sue, and wait 10-14 days. There's a guide at https://docs.github.com/en/site-policy/content-removal-polic... and there are plenty of example counter-notices in the https://github.com/github/dmca repo.

From the posted notice[1], they answered "No" to the question "Do you claim to have any technological measures in place to control access to your copyrighted content? Please see our Complaints about Anti-Circumvention Technology if you are unsure." Is that the same thing you are referencing?

[1] https://github.com/github/dmca/blob/master/2023/10/2023-10-1...