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* Add v1 ring sig verifying * allow calculating signature hash for v1 txs * add unreduced scalar type with recovery I have added this type for borromen sigs, the ee field can be a normal scalar as in the verify function the ee field is checked against a reduced scalar mean for it to verify as correct ee must be reduced * change block major/ minor versions to u8 this matches Monero I have also changed a couple varint functions to accept the `VarInt` trait * expose `serialize_hashable` on `Block` * add back MLSAG verifying functions I still need to revert the commit removing support for >1 input MLSAG FULL This adds a new rct type to separate Full and simple rct * add back support for multiple inputs for RCT FULL * comment `non_adjacent_form` function also added `#[allow(clippy::needless_range_loop)]` around a loop as without a re-write satisfying clippy without it will make the function worse. * Improve Mlsag verifying API * fix rebase errors * revert the changes on `reserialize_chain` plus other misc changes * fix no-std * Reduce the amount of rpc calls needed for `get_block_by_number`. This function was causing me problems, every now and then a node would return a block with a different number than requested. * change `serialize_hashable` to give the POW hashing blob. Monero calculates the POW hash and the block hash using *slightly* different blobs :/ * make ring_signatures public and add length check when verifying. * Misc improvements and bug fixes --------- Co-authored-by: Luke Parker <lukeparker5132@gmail.com>
33 lines
1.2 KiB
Rust
33 lines
1.2 KiB
Rust
use curve25519_dalek::scalar::Scalar;
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use crate::unreduced_scalar::*;
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#[test]
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fn recover_scalars() {
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let test_recover = |stored: &str, recovered: &str| {
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let stored = UnreducedScalar(hex::decode(stored).unwrap().try_into().unwrap());
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let recovered =
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Scalar::from_canonical_bytes(hex::decode(recovered).unwrap().try_into().unwrap()).unwrap();
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assert_eq!(stored.recover_monero_slide_scalar(), recovered);
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};
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// https://www.moneroinflation.com/static/data_py/report_scalars_df.pdf
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// Table 4.
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test_recover(
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"cb2be144948166d0a9edb831ea586da0c376efa217871505ad77f6ff80f203f8",
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"b8ffd6a1aee47828808ab0d4c8524cb5c376efa217871505ad77f6ff80f20308",
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);
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test_recover(
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"343d3df8a1051c15a400649c423dc4ed58bef49c50caef6ca4a618b80dee22f4",
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"21113355bc682e6d7a9d5b3f2137a30259bef49c50caef6ca4a618b80dee2204",
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);
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test_recover(
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"c14f75d612800ca2c1dcfa387a42c9cc086c005bc94b18d204dd61342418eba7",
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"4f473804b1d27ab2c789c80ab21d034a096c005bc94b18d204dd61342418eb07",
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);
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test_recover(
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"000102030405060708090a0b0c0d0e0f826c4f6e2329a31bc5bc320af0b2bcbb",
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"a124cfd387f461bf3719e03965ee6877826c4f6e2329a31bc5bc320af0b2bc0b",
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);
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}
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