2022-06-30 13:30:24 +00:00
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use ff::PrimeFieldBits;
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2022-06-07 04:02:10 +00:00
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use group::Group;
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2022-05-03 11:42:09 +00:00
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2022-06-07 04:02:10 +00:00
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mod straus;
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use straus::*;
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2022-05-27 04:52:44 +00:00
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2022-06-07 04:02:10 +00:00
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mod pippenger;
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use pippenger::*;
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2022-05-27 04:52:44 +00:00
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2022-06-07 04:02:10 +00:00
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#[cfg(feature = "batch")]
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mod batch;
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#[cfg(feature = "batch")]
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pub use batch::BatchVerifier;
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2022-05-03 11:42:09 +00:00
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2022-06-30 13:30:24 +00:00
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#[cfg(test)]
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mod tests;
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2022-07-15 05:26:07 +00:00
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pub(crate) fn prep_bits<G: Group>(pairs: &[(G::Scalar, G)], window: u8) -> Vec<Vec<u8>>
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where
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G::Scalar: PrimeFieldBits,
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{
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2022-06-30 13:30:24 +00:00
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let w_usize = usize::from(window);
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let mut groupings = vec![];
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for pair in pairs {
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let p = groupings.len();
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let bits = pair.0.to_le_bits();
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groupings.push(vec![0; (bits.len() + (w_usize - 1)) / w_usize]);
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for (i, bit) in bits.into_iter().enumerate() {
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let bit = bit as u8;
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debug_assert_eq!(bit | 1, 1);
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groupings[p][i / w_usize] |= bit << (i % w_usize);
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}
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}
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groupings
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}
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2022-07-15 05:26:07 +00:00
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pub(crate) fn prep_tables<G: Group>(pairs: &[(G::Scalar, G)], window: u8) -> Vec<Vec<G>> {
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2022-06-30 13:30:24 +00:00
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let mut tables = Vec::with_capacity(pairs.len());
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for pair in pairs {
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let p = tables.len();
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tables.push(vec![G::identity(); 2_usize.pow(window.into())]);
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let mut accum = G::identity();
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for i in 1 .. tables[p].len() {
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accum += pair.1;
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tables[p][i] = accum;
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}
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}
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tables
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}
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2022-06-07 04:02:10 +00:00
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#[derive(Clone, Copy, PartialEq, Eq, Debug)]
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enum Algorithm {
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2022-07-07 04:22:19 +00:00
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Null,
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Single,
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2022-06-30 13:30:24 +00:00
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Straus(u8),
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2022-07-15 05:26:07 +00:00
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Pippenger(u8),
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2022-05-27 04:52:44 +00:00
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}
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2022-06-30 13:30:24 +00:00
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/*
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Release (with runs 20, so all of these are off by 20x):
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k256
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Straus 3 is more efficient at 5 with 678µs per
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Straus 4 is more efficient at 10 with 530µs per
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Straus 5 is more efficient at 35 with 467µs per
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Pippenger 5 is more efficient at 125 with 431µs per
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Pippenger 6 is more efficient at 275 with 349µs per
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Pippenger 7 is more efficient at 375 with 360µs per
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dalek
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Straus 3 is more efficient at 5 with 519µs per
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Straus 4 is more efficient at 10 with 376µs per
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Straus 5 is more efficient at 170 with 330µs per
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Pippenger 5 is more efficient at 125 with 305µs per
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Pippenger 6 is more efficient at 275 with 250µs per
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Pippenger 7 is more efficient at 450 with 205µs per
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Pippenger 8 is more efficient at 800 with 213µs per
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Debug (with runs 5, so...):
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k256
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Straus 3 is more efficient at 5 with 2532µs per
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Straus 4 is more efficient at 10 with 1930µs per
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Straus 5 is more efficient at 80 with 1632µs per
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Pippenger 5 is more efficient at 150 with 1441µs per
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Pippenger 6 is more efficient at 300 with 1235µs per
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Pippenger 7 is more efficient at 475 with 1182µs per
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Pippenger 8 is more efficient at 625 with 1170µs per
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dalek:
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Straus 3 is more efficient at 5 with 971µs per
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Straus 4 is more efficient at 10 with 782µs per
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Straus 5 is more efficient at 75 with 778µs per
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Straus 6 is more efficient at 165 with 867µs per
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Pippenger 5 is more efficient at 125 with 677µs per
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Pippenger 6 is more efficient at 250 with 655µs per
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Pippenger 7 is more efficient at 475 with 500µs per
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Pippenger 8 is more efficient at 875 with 499µs per
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*/
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fn algorithm(len: usize) -> Algorithm {
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#[cfg(not(debug_assertions))]
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2022-07-07 04:22:19 +00:00
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if len == 0 {
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Algorithm::Null
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} else if len == 1 {
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Algorithm::Single
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} else if len < 10 {
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2022-06-30 13:30:24 +00:00
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// Straus 2 never showed a performance benefit, even with just 2 elements
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Algorithm::Straus(3)
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} else if len < 20 {
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Algorithm::Straus(4)
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} else if len < 50 {
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Algorithm::Straus(5)
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} else if len < 100 {
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Algorithm::Pippenger(4)
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} else if len < 125 {
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Algorithm::Pippenger(5)
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} else if len < 275 {
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Algorithm::Pippenger(6)
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} else if len < 400 {
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Algorithm::Pippenger(7)
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} else {
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Algorithm::Pippenger(8)
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}
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#[cfg(debug_assertions)]
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2022-07-07 06:40:04 +00:00
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if len == 0 {
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Algorithm::Null
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} else if len == 1 {
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Algorithm::Single
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} else if len < 10 {
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2022-06-30 13:30:24 +00:00
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Algorithm::Straus(3)
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} else if len < 80 {
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Algorithm::Straus(4)
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} else if len < 100 {
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Algorithm::Straus(5)
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} else if len < 125 {
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Algorithm::Pippenger(4)
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} else if len < 275 {
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Algorithm::Pippenger(5)
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} else if len < 475 {
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Algorithm::Pippenger(6)
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} else if len < 750 {
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Algorithm::Pippenger(7)
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2022-06-07 04:02:10 +00:00
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} else {
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2022-06-30 13:30:24 +00:00
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Algorithm::Pippenger(8)
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2022-05-03 11:42:09 +00:00
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}
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2022-05-27 04:52:44 +00:00
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}
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2022-06-07 04:02:10 +00:00
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// Performs a multiexp, automatically selecting the optimal algorithm based on amount of pairs
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2022-07-15 05:26:07 +00:00
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pub fn multiexp<G: Group>(pairs: &[(G::Scalar, G)]) -> G
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where
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G::Scalar: PrimeFieldBits,
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{
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2022-06-07 04:02:10 +00:00
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match algorithm(pairs.len()) {
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2022-07-07 04:22:19 +00:00
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Algorithm::Null => Group::identity(),
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Algorithm::Single => pairs[0].1 * pairs[0].0,
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2022-06-30 13:30:24 +00:00
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Algorithm::Straus(window) => straus(pairs, window),
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2022-07-15 05:26:07 +00:00
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Algorithm::Pippenger(window) => pippenger(pairs, window),
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2022-05-03 11:42:09 +00:00
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}
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}
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2022-05-27 04:52:44 +00:00
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2022-07-15 05:26:07 +00:00
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pub fn multiexp_vartime<G: Group>(pairs: &[(G::Scalar, G)]) -> G
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where
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G::Scalar: PrimeFieldBits,
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{
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2022-06-07 04:02:10 +00:00
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match algorithm(pairs.len()) {
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2022-07-07 04:22:19 +00:00
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Algorithm::Null => Group::identity(),
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Algorithm::Single => pairs[0].1 * pairs[0].0,
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2022-06-30 13:30:24 +00:00
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Algorithm::Straus(window) => straus_vartime(pairs, window),
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2022-07-15 05:26:07 +00:00
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Algorithm::Pippenger(window) => pippenger_vartime(pairs, window),
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2022-05-27 04:52:44 +00:00
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}
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}
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