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Zero-knowledge proof acceleration with GPUs for C++ and Rust

Home Page: https://www.spaceandtime.io/

License: Apache License 2.0

Starlark 6.71% C++ 89.33% Python 1.09% Cuda 1.30% Shell 0.18% C 0.93% Rust 0.18% Nix 0.29%
cpp20 curve25519 elliptic-curve-cryptography rust zk-proofs

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blitzar's Issues

The automated release is failing 🚨

🚨 The automated release from the main branch failed. 🚨

I recommend you give this issue a high priority, so other packages depending on you can benefit from your bug fixes and new features again.

You can find below the list of errors reported by semantic-release. Each one of them has to be resolved in order to automatically publish your package. I’m sure you can fix this πŸ’ͺ.

Errors are usually caused by a misconfiguration or an authentication problem. With each error reported below you will find explanation and guidance to help you to resolve it.

Once all the errors are resolved, semantic-release will release your package the next time you push a commit to the main branch. You can also manually restart the failed CI job that runs semantic-release.

If you are not sure how to resolve this, here are some links that can help you:

If those don’t help, or if this issue is reporting something you think isn’t right, you can always ask the humans behind semantic-release.


Cannot push to the Git repository.

semantic-release cannot push the version tag to the branch main on the remote Git repository with URL https://[secure]@github.com/spaceandtimelabs/blitzar.

This can be caused by:


Good luck with your project ✨

Your semantic-release bot πŸ“¦πŸš€

Missing installation dependencies / environments

Hi, thanks for publishing an interesting library.

I would like to ask for a complete set of installation prerequisites, as installing the whole thing doesn't seem to be a one-click thing. Have you tested installing in a typical fresh setup, such as a cloud-provided remote machine with a GPU?

To be constructive, let me suggest providing a Docker image, so that all extras would be provided by a container, essentially as NVIDIA is doing with its containers. Could we have something like that?

thanks!

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