//! Keccak [sponge function](https://en.wikipedia.org/wiki/Sponge_function). //! //! The function code is fully unrolled and is nearly as fast as the Keccak //! team's optimized implementation. //! //! If you are looking for SHA-3 hash functions take a look at [`sha3`][1] and //! [`tiny-keccak`][2] crates. //! //! To disable loop unrolling (e.g. for constraint targets) use `no_unroll` //! feature. //! //! ``` //! // Test vectors are from KeccakCodePackage //! let mut data = [0u64; 25]; //! //! keccak::f1600(&mut data); //! assert_eq!(data, [ //! 0xF1258F7940E1DDE7, 0x84D5CCF933C0478A, 0xD598261EA65AA9EE, 0xBD1547306F80494D, //! 0x8B284E056253D057, 0xFF97A42D7F8E6FD4, 0x90FEE5A0A44647C4, 0x8C5BDA0CD6192E76, //! 0xAD30A6F71B19059C, 0x30935AB7D08FFC64, 0xEB5AA93F2317D635, 0xA9A6E6260D712103, //! 0x81A57C16DBCF555F, 0x43B831CD0347C826, 0x01F22F1A11A5569F, 0x05E5635A21D9AE61, //! 0x64BEFEF28CC970F2, 0x613670957BC46611, 0xB87C5A554FD00ECB, 0x8C3EE88A1CCF32C8, //! 0x940C7922AE3A2614, 0x1841F924A2C509E4, 0x16F53526E70465C2, 0x75F644E97F30A13B, //! 0xEAF1FF7B5CECA249, //! ]); //! //! keccak::f1600(&mut data); //! assert_eq!(data, [ //! 0x2D5C954DF96ECB3C, 0x6A332CD07057B56D, 0x093D8D1270D76B6C, 0x8A20D9B25569D094, //! 0x4F9C4F99E5E7F156, 0xF957B9A2DA65FB38, 0x85773DAE1275AF0D, 0xFAF4F247C3D810F7, //! 0x1F1B9EE6F79A8759, 0xE4FECC0FEE98B425, 0x68CE61B6B9CE68A1, 0xDEEA66C4BA8F974F, //! 0x33C43D836EAFB1F5, 0xE00654042719DBD9, 0x7CF8A9F009831265, 0xFD5449A6BF174743, //! 0x97DDAD33D8994B40, 0x48EAD5FC5D0BE774, 0xE3B8C8EE55B7B03C, 0x91A0226E649E42E9, //! 0x900E3129E7BADD7B, 0x202A9EC5FAA3CCE8, 0x5B3402464E1C3DB6, 0x609F4E62A44C1059, //! 0x20D06CD26A8FBF5C, //! ]); //! ``` //! //! [1]: https://docs.rs/sha3 //! [2]: https://docs.rs/tiny-keccak #![no_std] #![allow(non_upper_case_globals)] const PLEN: usize = 25; const RHO: [u32; 24] = [ 1, 3, 6, 10, 15, 21, 28, 36, 45, 55, 2, 14, 27, 41, 56, 8, 25, 43, 62, 18, 39, 61, 20, 44, ]; const PI: [usize; 24] = [ 10, 7, 11, 17, 18, 3, 5, 16, 8, 21, 24, 4, 15, 23, 19, 13, 12, 2, 20, 14, 22, 9, 6, 1, ]; const RC: [u64; 24] = [ 0x0000000000000001, 0x0000000000008082, 0x800000000000808a, 0x8000000080008000, 0x000000000000808b, 0x0000000080000001, 0x8000000080008081, 0x8000000000008009, 0x000000000000008a, 0x0000000000000088, 0x0000000080008009, 0x000000008000000a, 0x000000008000808b, 0x800000000000008b, 0x8000000000008089, 0x8000000000008003, 0x8000000000008002, 0x8000000000000080, 0x000000000000800a, 0x800000008000000a, 0x8000000080008081, 0x8000000000008080, 0x0000000080000001, 0x8000000080008008, ]; #[cfg(not(feature = "no_unroll"))] macro_rules! unroll5 { ($var:ident, $body:block) => { { const $var: usize = 0; $body; } { const $var: usize = 1; $body; } { const $var: usize = 2; $body; } { const $var: usize = 3; $body; } { const $var: usize = 4; $body; } }; } #[cfg(feature = "no_unroll")] macro_rules! unroll5 { ($var:ident, $body:block) => { for $var in 0..5 $body } } #[cfg(not(feature = "no_unroll"))] macro_rules! unroll24 { ($var: ident, $body: block) => { { const $var: usize = 0; $body; } { const $var: usize = 1; $body; } { const $var: usize = 2; $body; } { const $var: usize = 3; $body; } { const $var: usize = 4; $body; } { const $var: usize = 5; $body; } { const $var: usize = 6; $body; } { const $var: usize = 7; $body; } { const $var: usize = 8; $body; } { const $var: usize = 9; $body; } { const $var: usize = 10; $body; } { const $var: usize = 11; $body; } { const $var: usize = 12; $body; } { const $var: usize = 13; $body; } { const $var: usize = 14; $body; } { const $var: usize = 15; $body; } { const $var: usize = 16; $body; } { const $var: usize = 17; $body; } { const $var: usize = 18; $body; } { const $var: usize = 19; $body; } { const $var: usize = 20; $body; } { const $var: usize = 21; $body; } { const $var: usize = 22; $body; } { const $var: usize = 23; $body; } }; } #[cfg(feature = "no_unroll")] macro_rules! unroll24 { ($var:ident, $body:block) => { for $var in 0..24 $body } } #[allow(unused_assignments)] /// Keccak-f[1600] sponge function pub fn f1600(a: &mut [u64; PLEN]) { let mut arrays: [[u64; 5]; 24] = [[0; 5]; 24]; unroll24!(i, { // Theta unroll5!(x, { // This looks useless but it gets way slower without it. I tried // using `mem::uninitialized` for the initialisation of `arrays` but // that also makes it slower, although not by as much as removing // this assignment. Optimisers are weird. Maybe a different version // of LLVM will react differently, so if you see this comment // in the future try deleting this assignment and using uninit // above and see how it affects the benchmarks. arrays[i][x] = 0; unroll5!(y, { arrays[i][x] ^= a[5 * y + x]; }); }); unroll5!(x, { unroll5!(y, { let t1 = arrays[i][(x + 4) % 5]; let t2 = arrays[i][(x + 1) % 5].rotate_left(1); a[5 * y + x] ^= t1 ^ t2; }); }); // Rho and pi let mut last = a[1]; unroll24!(x, { arrays[i][0] = a[PI[x]]; a[PI[x]] = last.rotate_left(RHO[x]); last = arrays[i][0]; }); // Chi unroll5!(y_step, { let y = 5 * y_step; unroll5!(x, { arrays[i][x] = a[y + x]; }); unroll5!(x, { let t1 = !arrays[i][(x + 1) % 5]; let t2 = arrays[i][(x + 2) % 5]; a[y + x] = arrays[i][x] ^ (t1 & t2); }); }); // Iota a[0] ^= RC[i]; }); }