mirror of
https://github.com/codex-storage/constantine.git
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0e4dbfe400
* add Sage for constant time tonelli shanks * Fused sqrt and invsqrt via Tonelli Shanks * isolate sqrt in their own folder * Implement constant-time Tonelli Shanks for any prime * Implement Fp2 sqrt for any non-residue * Add tests for BLS12_377 * Lattice decomposition script for BLS12_377 G1 * BLS12-377 G1 GLV ok, G2 GLV issue * Proper endomorphism acceleration support for BLS12-377 * Add naive pairing support for BLS12-377 * Activate more bench for BLS12-377 * Fix MSB computation * Optimize final exponentiation + add benches
221 lines
6.8 KiB
Nim
221 lines
6.8 KiB
Nim
# Constantine
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# Copyright (c) 2018-2019 Status Research & Development GmbH
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# Copyright (c) 2020-Present Mamy André-Ratsimbazafy
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# Licensed and distributed under either of
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# * MIT license (license terms in the root directory or at http://opensource.org/licenses/MIT).
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# * Apache v2 license (license terms in the root directory or at http://www.apache.org/licenses/LICENSE-2.0).
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# at your option. This file may not be copied, modified, or distributed except according to those terms.
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import
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# Standard library
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std/[tables, unittest, times],
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# Internals
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../constantine/config/common,
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../constantine/[arithmetic, primitives],
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../constantine/towers,
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../constantine/config/curves,
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../constantine/io/io_towers,
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../constantine/pairing/[
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lines_projective,
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mul_fp12_by_lines
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],
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# Test utilities
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../helpers/[prng_unsafe, static_for]
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const
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Iters = 8
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TestCurves = [
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BN254_Nogami,
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BN254_Snarks,
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BLS12_377,
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BLS12_381
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]
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type
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RandomGen = enum
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Uniform
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HighHammingWeight
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Long01Sequence
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var rng: RngState
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let seed = uint32(getTime().toUnix() and (1'i64 shl 32 - 1)) # unixTime mod 2^32
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rng.seed(seed)
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echo "\n------------------------------------------------------\n"
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echo "test_pairing_fp12_sparse xoshiro512** seed: ", seed
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func random_elem(rng: var RngState, F: typedesc, gen: RandomGen): F {.inline, noInit.} =
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if gen == Uniform:
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result = rng.random_unsafe(F)
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elif gen == HighHammingWeight:
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result = rng.random_highHammingWeight(F)
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else:
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result = rng.random_long01Seq(F)
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suite "Pairing - Sparse 𝔽p12 multiplication by line function is consistent with dense 𝔽p12 mul":
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test "Dense 𝔽p4 by Sparse 0y":
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proc test_fp4_0y(C: static Curve, gen: static RandomGen) =
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for _ in 0 ..< Iters:
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let a = rng.random_elem(Fp4[C], gen)
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let y = rng.random_elem(Fp2[C], gen)
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let b = Fp4[C](c1: y)
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var r {.noInit.}, r2 {.noInit.}: Fp4[C]
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r.prod(a, b)
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r2.mul_sparse_by_0y(a, y)
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check: bool(r == r2)
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staticFor(curve, TestCurves):
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test_fp4_0y(curve, gen = Uniform)
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test_fp4_0y(curve, gen = HighHammingWeight)
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test_fp4_0y(curve, gen = Long01Sequence)
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test "Dense 𝔽p6 by Sparse 0y0":
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proc test_fp6_0y0(C: static Curve, gen: static RandomGen) =
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for _ in 0 ..< Iters:
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let a = rng.random_elem(Fp6[C], gen)
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let y = rng.random_elem(Fp2[C], gen)
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let b = Fp6[C](c1: y)
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var r {.noInit.}, r2 {.noInit.}: Fp6[C]
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r.prod(a, b)
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r2.mul_sparse_by_0y0(a, y)
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check: bool(r == r2)
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staticFor(curve, TestCurves):
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test_fp6_0y0(curve, gen = Uniform)
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test_fp6_0y0(curve, gen = HighHammingWeight)
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test_fp6_0y0(curve, gen = Long01Sequence)
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test "Dense 𝔽p6 by Sparse xy0":
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proc test_fp6_0y0(C: static Curve, gen: static RandomGen) =
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for _ in 0 ..< Iters:
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let a = rng.random_elem(Fp6[C], gen)
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let x = rng.random_elem(Fp2[C], gen)
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let y = rng.random_elem(Fp2[C], gen)
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let b = Fp6[C](c0: x, c1: y)
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let line = Line[Fp2[C], M_twist](x: x, y: y)
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var r {.noInit.}, r2 {.noInit.}: Fp6[C]
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r.prod(a, b)
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r2.mul_by_line_xy0(a, line)
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check: bool(r == r2)
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staticFor(curve, TestCurves):
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test_fp6_0y0(curve, gen = Uniform)
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test_fp6_0y0(curve, gen = HighHammingWeight)
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test_fp6_0y0(curve, gen = Long01Sequence)
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when Fp12[BN254_Snarks]().c0.typeof is Fp6:
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test "Sparse 𝔽p12/𝔽p6 resulting from xy00z0 line function":
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proc test_fp12_xy00z0(C: static Curve, gen: static RandomGen) =
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for _ in 0 ..< Iters:
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var a = rng.random_elem(Fp12[C], gen)
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var a2 = a
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var x = rng.random_elem(Fp2[C], gen)
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var y = rng.random_elem(Fp2[C], gen)
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var z = rng.random_elem(Fp2[C], gen)
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let line = Line[Fp2[C], Mtwist](x: x, y: y, z: z)
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let b = Fp12[C](
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c0: Fp6[C](c0: x, c1: y),
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c1: Fp6[C](c1: z)
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)
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a *= b
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a2.mul_sparse_by_line_xy00z0(line)
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check: bool(a == a2)
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staticFor(curve, TestCurves):
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test_fp12_xy00z0(curve, gen = Uniform)
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test_fp12_xy00z0(curve, gen = HighHammingWeight)
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test_fp12_xy00z0(curve, gen = Long01Sequence)
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test "Sparse 𝔽p12/𝔽p6 resulting from xyz000 line function":
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proc test_fp12_xyz000(C: static Curve, gen: static RandomGen) =
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for _ in 0 ..< Iters:
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var a = rng.random_elem(Fp12[C], gen)
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var a2 = a
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var x = rng.random_elem(Fp2[C], gen)
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var y = rng.random_elem(Fp2[C], gen)
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var z = rng.random_elem(Fp2[C], gen)
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let line = Line[Fp2[C], Mtwist](x: x, y: y, z: z)
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let b = Fp12[C](
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c0: Fp6[C](c0: x, c1: y, c2: z)
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)
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a *= b
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a2.mul_sparse_by_line_xyz000(line)
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check: bool(a == a2)
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staticFor(curve, TestCurves):
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test_fp12_xyz000(curve, gen = Uniform)
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test_fp12_xyz000(curve, gen = HighHammingWeight)
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test_fp12_xyz000(curve, gen = Long01Sequence)
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else:
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static: doAssert Fp12[BN254_Snarks]().c0.typeof is Fp4
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test "Sparse 𝔽p12/𝔽p4 resulting from xy000z line function":
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proc test_fp12_xy000z(C: static Curve, gen: static RandomGen) =
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for _ in 0 ..< Iters:
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var a = rng.random_elem(Fp12[C], gen)
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var a2 = a
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var x = rng.random_elem(Fp2[C], gen)
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var y = rng.random_elem(Fp2[C], gen)
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var z = rng.random_elem(Fp2[C], gen)
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let line = Line[Fp2[C], Mtwist](x: x, y: y, z: z)
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let b = Fp12[C](
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c0: Fp4[C](c0: x, c1: y),
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# c1
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c2: Fp4[C]( c1: z),
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)
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a *= b
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a2.mul_sparse_by_line_xy000z(line)
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check: bool(a == a2)
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staticFor(curve, TestCurves):
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test_fp12_xy000z(curve, gen = Uniform)
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test_fp12_xy000z(curve, gen = HighHammingWeight)
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test_fp12_xy000z(curve, gen = Long01Sequence)
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test "Sparse 𝔽p12/𝔽p4 resulting from xyz000 line function":
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proc test_fp12_xy000z(C: static Curve, gen: static RandomGen) =
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for _ in 0 ..< Iters:
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var a = rng.random_elem(Fp12[C], gen)
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var a2 = a
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var x = rng.random_elem(Fp2[C], gen)
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var y = rng.random_elem(Fp2[C], gen)
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var z = rng.random_elem(Fp2[C], gen)
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let line = Line[Fp2[C], Dtwist](x: x, y: y, z: z)
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let b = Fp12[C](
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c0: Fp4[C](c0: x, c1: y),
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c1: Fp4[C](c0: z ),
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# c2:
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)
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a *= b
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a2.mul_sparse_by_line_xyz000(line)
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check: bool(a == a2)
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staticFor(curve, TestCurves):
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test_fp12_xy000z(curve, gen = Uniform)
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test_fp12_xy000z(curve, gen = HighHammingWeight)
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test_fp12_xy000z(curve, gen = Long01Sequence)
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