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HyperNova PoC #13
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Here's the real diff for #15 - microsoft/Nova@main...privacy-scaling-explorations:Nova:hypernova Things to fix before we can merge upstream
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CPerezz
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Opening WIP PR to make diff more clear Targets #13 This merges the multifolding-poc porting into the Nova codebase
This effort is now paused. Current state: microsoft#175 (comment) |
hero78119
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…ations#13) * ci: Bring clippy standards lurk-rs -> arecibo - Added a new .cargo/config file with a custom alias "xclippy" to execute Clippy lints for code quality assurance, - Fixed code correspondingly when necessary, - Added xclippy to CI * chore: add dbg_macro to ci's clippy - Implemented a new clippy lint for the dbg_macro in the cargo config file
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* Small perf items (privacy-scaling-explorations#12) * Optimize generator creation in provider module - Refactored the `from_label` function in pasta.rs removing redundant collect, flatten operations and Vec<usize> creation, * fix: rename VanillaRO -> NativeRO * refactor: Optimize circuit methods and enhance trait compatibility - Replaced the `.map()` function with the `.map_or()` function in `r1cs.rs` for efficiency. - Added `Eq` trait derivation to `NovaAugmentedCircuitParams` in `circuit.rs` to enable comparisons. - Introduced `Eq` trait to `TrivialTestCircuit` struct in `traits/circuit.rs` without altering its input or output. - Optimized performance by refactoring the use of iterator `into_iter()` to the iterator itself in `gadgets/r1cs.rs`. * ci: Bring clippy standards lurk-rs -> arecibo (privacy-scaling-explorations#13) * ci: Bring clippy standards lurk-rs -> arecibo - Added a new .cargo/config file with a custom alias "xclippy" to execute Clippy lints for code quality assurance, - Fixed code correspondingly when necessary, - Added xclippy to CI * chore: add dbg_macro to ci's clippy - Implemented a new clippy lint for the dbg_macro in the cargo config file * test: Extend tests to add missing curve variants (privacy-scaling-explorations#33) - Enhanced testing for multiple modules, including bellpepper, spartan, and provider, focusing on the addition and multiplication of multi-linear polynomials and the Keccak transcript. - Introduced usage of secp256k1::Scalar (and sometimes bn256_grumpkin::bn256::Scalar) into tests for improved coverage.
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PoC for HyperNova and CCS.
Long lived branch here: https://github.com/privacy-scaling-explorations/Nova/tree/hypernova
Suggest we do PRs against that one and keep main up to date with upstream, see #11 (comment)
First step is probably CCS (super rough start of a cut here #14), then after that we'll see in terms of multi-folding, SuperSpartan, etc.
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