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1223 lines
47 KiB
1223 lines
47 KiB
// Copyright (c) 2013-2016 The btcsuite developers
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// Copyright (c) 2013-2016 Dave Collins
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// Use of this source code is governed by an ISC
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// license that can be found in the LICENSE file.
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package btcec
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// References:
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// [HAC]: Handbook of Applied Cryptography Menezes, van Oorschot, Vanstone.
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// http://cacr.uwaterloo.ca/hac/
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// All elliptic curve operations for secp256k1 are done in a finite field
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// characterized by a 256-bit prime. Given this precision is larger than the
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// biggest available native type, obviously some form of bignum math is needed.
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// This package implements specialized fixed-precision field arithmetic rather
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// than relying on an arbitrary-precision arithmetic package such as math/big
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// for dealing with the field math since the size is known. As a result, rather
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// large performance gains are achieved by taking advantage of many
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// optimizations not available to arbitrary-precision arithmetic and generic
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// modular arithmetic algorithms.
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//
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// There are various ways to internally represent each finite field element.
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// For example, the most obvious representation would be to use an array of 4
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// uint64s (64 bits * 4 = 256 bits). However, that representation suffers from
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// a couple of issues. First, there is no native Go type large enough to handle
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// the intermediate results while adding or multiplying two 64-bit numbers, and
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// second there is no space left for overflows when performing the intermediate
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// arithmetic between each array element which would lead to expensive carry
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// propagation.
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//
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// Given the above, this implementation represents the the field elements as
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// 10 uint32s with each word (array entry) treated as base 2^26. This was
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// chosen for the following reasons:
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// 1) Most systems at the current time are 64-bit (or at least have 64-bit
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// registers available for specialized purposes such as MMX) so the
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// intermediate results can typically be done using a native register (and
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// using uint64s to avoid the need for additional half-word arithmetic)
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// 2) In order to allow addition of the internal words without having to
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// propagate the the carry, the max normalized value for each register must
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// be less than the number of bits available in the register
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// 3) Since we're dealing with 32-bit values, 64-bits of overflow is a
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// reasonable choice for #2
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// 4) Given the need for 256-bits of precision and the properties stated in #1,
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// #2, and #3, the representation which best accommodates this is 10 uint32s
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// with base 2^26 (26 bits * 10 = 260 bits, so the final word only needs 22
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// bits) which leaves the desired 64 bits (32 * 10 = 320, 320 - 256 = 64) for
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// overflow
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//
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// Since it is so important that the field arithmetic is extremely fast for
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// high performance crypto, this package does not perform any validation where
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// it ordinarily would. For example, some functions only give the correct
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// result is the field is normalized and there is no checking to ensure it is.
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// While I typically prefer to ensure all state and input is valid for most
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// packages, this code is really only used internally and every extra check
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// counts.
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import (
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"encoding/hex"
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)
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// Constants used to make the code more readable.
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const (
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twoBitsMask = 0x3
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fourBitsMask = 0xf
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sixBitsMask = 0x3f
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eightBitsMask = 0xff
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)
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// Constants related to the field representation.
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const (
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// fieldWords is the number of words used to internally represent the
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// 256-bit value.
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fieldWords = 10
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// fieldBase is the exponent used to form the numeric base of each word.
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// 2^(fieldBase*i) where i is the word position.
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fieldBase = 26
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// fieldOverflowBits is the minimum number of "overflow" bits for each
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// word in the field value.
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fieldOverflowBits = 32 - fieldBase
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// fieldBaseMask is the mask for the bits in each word needed to
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// represent the numeric base of each word (except the most significant
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// word).
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fieldBaseMask = (1 << fieldBase) - 1
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// fieldMSBBits is the number of bits in the most significant word used
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// to represent the value.
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fieldMSBBits = 256 - (fieldBase * (fieldWords - 1))
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// fieldMSBMask is the mask for the bits in the most significant word
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// needed to represent the value.
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fieldMSBMask = (1 << fieldMSBBits) - 1
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// fieldPrimeWordZero is word zero of the secp256k1 prime in the
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// internal field representation. It is used during negation.
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fieldPrimeWordZero = 0x3fffc2f
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// fieldPrimeWordOne is word one of the secp256k1 prime in the
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// internal field representation. It is used during negation.
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fieldPrimeWordOne = 0x3ffffbf
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)
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// fieldVal implements optimized fixed-precision arithmetic over the
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// secp256k1 finite field. This means all arithmetic is performed modulo
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// 0xfffffffffffffffffffffffffffffffffffffffffffffffffffffffefffffc2f. It
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// represents each 256-bit value as 10 32-bit integers in base 2^26. This
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// provides 6 bits of overflow in each word (10 bits in the most significant
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// word) for a total of 64 bits of overflow (9*6 + 10 = 64). It only implements
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// the arithmetic needed for elliptic curve operations.
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//
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// The following depicts the internal representation:
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// -----------------------------------------------------------------
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// | n[9] | n[8] | ... | n[0] |
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// | 32 bits available | 32 bits available | ... | 32 bits available |
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// | 22 bits for value | 26 bits for value | ... | 26 bits for value |
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// | 10 bits overflow | 6 bits overflow | ... | 6 bits overflow |
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// | Mult: 2^(26*9) | Mult: 2^(26*8) | ... | Mult: 2^(26*0) |
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// -----------------------------------------------------------------
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//
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// For example, consider the number 2^49 + 1. It would be represented as:
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// n[0] = 1
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// n[1] = 2^23
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// n[2..9] = 0
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//
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// The full 256-bit value is then calculated by looping i from 9..0 and
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// doing sum(n[i] * 2^(26i)) like so:
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// n[9] * 2^(26*9) = 0 * 2^234 = 0
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// n[8] * 2^(26*8) = 0 * 2^208 = 0
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// ...
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// n[1] * 2^(26*1) = 2^23 * 2^26 = 2^49
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// n[0] * 2^(26*0) = 1 * 2^0 = 1
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// Sum: 0 + 0 + ... + 2^49 + 1 = 2^49 + 1
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type fieldVal struct {
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n [10]uint32
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}
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// String returns the field value as a human-readable hex string.
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func (f fieldVal) String() string {
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t := new(fieldVal).Set(&f).Normalize()
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return hex.EncodeToString(t.Bytes()[:])
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}
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// Zero sets the field value to zero. A newly created field value is already
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// set to zero. This function can be useful to clear an existing field value
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// for reuse.
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func (f *fieldVal) Zero() {
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f.n[0] = 0
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f.n[1] = 0
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f.n[2] = 0
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f.n[3] = 0
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f.n[4] = 0
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f.n[5] = 0
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f.n[6] = 0
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f.n[7] = 0
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f.n[8] = 0
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f.n[9] = 0
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}
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// Set sets the field value equal to the passed value.
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//
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// The field value is returned to support chaining. This enables syntax like:
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// f := new(fieldVal).Set(f2).Add(1) so that f = f2 + 1 where f2 is not
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// modified.
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func (f *fieldVal) Set(val *fieldVal) *fieldVal {
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*f = *val
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return f
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}
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// SetInt sets the field value to the passed integer. This is a convenience
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// function since it is fairly common to perform some arithemetic with small
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// native integers.
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//
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// The field value is returned to support chaining. This enables syntax such
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// as f := new(fieldVal).SetInt(2).Mul(f2) so that f = 2 * f2.
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func (f *fieldVal) SetInt(ui uint) *fieldVal {
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f.Zero()
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f.n[0] = uint32(ui)
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return f
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}
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// SetBytes packs the passed 32-byte big-endian value into the internal field
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// value representation.
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//
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// The field value is returned to support chaining. This enables syntax like:
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// f := new(fieldVal).SetBytes(byteArray).Mul(f2) so that f = ba * f2.
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func (f *fieldVal) SetBytes(b *[32]byte) *fieldVal {
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// Pack the 256 total bits across the 10 uint32 words with a max of
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// 26-bits per word. This could be done with a couple of for loops,
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// but this unrolled version is significantly faster. Benchmarks show
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// this is about 34 times faster than the variant which uses loops.
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f.n[0] = uint32(b[31]) | uint32(b[30])<<8 | uint32(b[29])<<16 |
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(uint32(b[28])&twoBitsMask)<<24
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f.n[1] = uint32(b[28])>>2 | uint32(b[27])<<6 | uint32(b[26])<<14 |
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(uint32(b[25])&fourBitsMask)<<22
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f.n[2] = uint32(b[25])>>4 | uint32(b[24])<<4 | uint32(b[23])<<12 |
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(uint32(b[22])&sixBitsMask)<<20
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f.n[3] = uint32(b[22])>>6 | uint32(b[21])<<2 | uint32(b[20])<<10 |
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uint32(b[19])<<18
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f.n[4] = uint32(b[18]) | uint32(b[17])<<8 | uint32(b[16])<<16 |
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(uint32(b[15])&twoBitsMask)<<24
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f.n[5] = uint32(b[15])>>2 | uint32(b[14])<<6 | uint32(b[13])<<14 |
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(uint32(b[12])&fourBitsMask)<<22
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f.n[6] = uint32(b[12])>>4 | uint32(b[11])<<4 | uint32(b[10])<<12 |
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(uint32(b[9])&sixBitsMask)<<20
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f.n[7] = uint32(b[9])>>6 | uint32(b[8])<<2 | uint32(b[7])<<10 |
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uint32(b[6])<<18
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f.n[8] = uint32(b[5]) | uint32(b[4])<<8 | uint32(b[3])<<16 |
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(uint32(b[2])&twoBitsMask)<<24
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f.n[9] = uint32(b[2])>>2 | uint32(b[1])<<6 | uint32(b[0])<<14
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return f
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}
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// SetByteSlice packs the passed big-endian value into the internal field value
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// representation. Only the first 32-bytes are used. As a result, it is up to
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// the caller to ensure numbers of the appropriate size are used or the value
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// will be truncated.
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//
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// The field value is returned to support chaining. This enables syntax like:
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// f := new(fieldVal).SetByteSlice(byteSlice)
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func (f *fieldVal) SetByteSlice(b []byte) *fieldVal {
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var b32 [32]byte
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for i := 0; i < len(b); i++ {
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if i < 32 {
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b32[i+(32-len(b))] = b[i]
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}
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}
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return f.SetBytes(&b32)
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}
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// SetHex decodes the passed big-endian hex string into the internal field value
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// representation. Only the first 32-bytes are used.
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//
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// The field value is returned to support chaining. This enables syntax like:
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// f := new(fieldVal).SetHex("0abc").Add(1) so that f = 0x0abc + 1
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func (f *fieldVal) SetHex(hexString string) *fieldVal {
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if len(hexString)%2 != 0 {
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hexString = "0" + hexString
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}
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bytes, _ := hex.DecodeString(hexString)
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return f.SetByteSlice(bytes)
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}
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// Normalize normalizes the internal field words into the desired range and
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// performs fast modular reduction over the secp256k1 prime by making use of the
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// special form of the prime.
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func (f *fieldVal) Normalize() *fieldVal {
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// The field representation leaves 6 bits of overflow in each word so
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// intermediate calculations can be performed without needing to
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// propagate the carry to each higher word during the calculations. In
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// order to normalize, we need to "compact" the full 256-bit value to
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// the right while propagating any carries through to the high order
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// word.
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//
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// Since this field is doing arithmetic modulo the secp256k1 prime, we
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// also need to perform modular reduction over the prime.
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//
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// Per [HAC] section 14.3.4: Reduction method of moduli of special form,
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// when the modulus is of the special form m = b^t - c, highly efficient
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// reduction can be achieved.
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//
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// The secp256k1 prime is equivalent to 2^256 - 4294968273, so it fits
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// this criteria.
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//
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// 4294968273 in field representation (base 2^26) is:
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// n[0] = 977
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// n[1] = 64
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// That is to say (2^26 * 64) + 977 = 4294968273
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//
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// The algorithm presented in the referenced section typically repeats
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// until the quotient is zero. However, due to our field representation
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// we already know to within one reduction how many times we would need
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// to repeat as it's the uppermost bits of the high order word. Thus we
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// can simply multiply the magnitude by the field representation of the
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// prime and do a single iteration. After this step there might be an
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// additional carry to bit 256 (bit 22 of the high order word).
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t9 := f.n[9]
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m := t9 >> fieldMSBBits
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t9 = t9 & fieldMSBMask
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t0 := f.n[0] + m*977
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t1 := (t0 >> fieldBase) + f.n[1] + (m << 6)
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t0 = t0 & fieldBaseMask
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t2 := (t1 >> fieldBase) + f.n[2]
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t1 = t1 & fieldBaseMask
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t3 := (t2 >> fieldBase) + f.n[3]
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t2 = t2 & fieldBaseMask
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t4 := (t3 >> fieldBase) + f.n[4]
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t3 = t3 & fieldBaseMask
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t5 := (t4 >> fieldBase) + f.n[5]
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t4 = t4 & fieldBaseMask
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t6 := (t5 >> fieldBase) + f.n[6]
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t5 = t5 & fieldBaseMask
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t7 := (t6 >> fieldBase) + f.n[7]
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t6 = t6 & fieldBaseMask
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t8 := (t7 >> fieldBase) + f.n[8]
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t7 = t7 & fieldBaseMask
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t9 = (t8 >> fieldBase) + t9
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t8 = t8 & fieldBaseMask
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// At this point, the magnitude is guaranteed to be one, however, the
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// value could still be greater than the prime if there was either a
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// carry through to bit 256 (bit 22 of the higher order word) or the
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// value is greater than or equal to the field characteristic. The
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// following determines if either or these conditions are true and does
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// the final reduction in constant time.
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//
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// Note that the if/else statements here intentionally do the bitwise
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// operators even when it won't change the value to ensure constant time
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// between the branches. Also note that 'm' will be zero when neither
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// of the aforementioned conditions are true and the value will not be
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// changed when 'm' is zero.
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m = 1
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if t9 == fieldMSBMask {
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m &= 1
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} else {
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m &= 0
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}
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if t2&t3&t4&t5&t6&t7&t8 == fieldBaseMask {
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m &= 1
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} else {
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m &= 0
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}
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if ((t0+977)>>fieldBase + t1 + 64) > fieldBaseMask {
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m &= 1
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} else {
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m &= 0
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}
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if t9>>fieldMSBBits != 0 {
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m |= 1
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} else {
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m |= 0
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}
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t0 = t0 + m*977
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t1 = (t0 >> fieldBase) + t1 + (m << 6)
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t0 = t0 & fieldBaseMask
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t2 = (t1 >> fieldBase) + t2
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t1 = t1 & fieldBaseMask
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t3 = (t2 >> fieldBase) + t3
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t2 = t2 & fieldBaseMask
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t4 = (t3 >> fieldBase) + t4
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t3 = t3 & fieldBaseMask
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t5 = (t4 >> fieldBase) + t5
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t4 = t4 & fieldBaseMask
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t6 = (t5 >> fieldBase) + t6
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t5 = t5 & fieldBaseMask
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t7 = (t6 >> fieldBase) + t7
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t6 = t6 & fieldBaseMask
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t8 = (t7 >> fieldBase) + t8
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t7 = t7 & fieldBaseMask
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t9 = (t8 >> fieldBase) + t9
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t8 = t8 & fieldBaseMask
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t9 = t9 & fieldMSBMask // Remove potential multiple of 2^256.
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// Finally, set the normalized and reduced words.
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f.n[0] = t0
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f.n[1] = t1
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f.n[2] = t2
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f.n[3] = t3
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f.n[4] = t4
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f.n[5] = t5
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f.n[6] = t6
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f.n[7] = t7
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f.n[8] = t8
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f.n[9] = t9
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return f
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}
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// PutBytes unpacks the field value to a 32-byte big-endian value using the
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// passed byte array. There is a similar function, Bytes, which unpacks the
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// field value into a new array and returns that. This version is provided
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// since it can be useful to cut down on the number of allocations by allowing
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// the caller to reuse a buffer.
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//
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// The field value must be normalized for this function to return the correct
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// result.
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func (f *fieldVal) PutBytes(b *[32]byte) {
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// Unpack the 256 total bits from the 10 uint32 words with a max of
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// 26-bits per word. This could be done with a couple of for loops,
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// but this unrolled version is a bit faster. Benchmarks show this is
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// about 10 times faster than the variant which uses loops.
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b[31] = byte(f.n[0] & eightBitsMask)
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b[30] = byte((f.n[0] >> 8) & eightBitsMask)
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b[29] = byte((f.n[0] >> 16) & eightBitsMask)
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b[28] = byte((f.n[0]>>24)&twoBitsMask | (f.n[1]&sixBitsMask)<<2)
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b[27] = byte((f.n[1] >> 6) & eightBitsMask)
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b[26] = byte((f.n[1] >> 14) & eightBitsMask)
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b[25] = byte((f.n[1]>>22)&fourBitsMask | (f.n[2]&fourBitsMask)<<4)
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b[24] = byte((f.n[2] >> 4) & eightBitsMask)
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b[23] = byte((f.n[2] >> 12) & eightBitsMask)
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b[22] = byte((f.n[2]>>20)&sixBitsMask | (f.n[3]&twoBitsMask)<<6)
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b[21] = byte((f.n[3] >> 2) & eightBitsMask)
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b[20] = byte((f.n[3] >> 10) & eightBitsMask)
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b[19] = byte((f.n[3] >> 18) & eightBitsMask)
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b[18] = byte(f.n[4] & eightBitsMask)
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b[17] = byte((f.n[4] >> 8) & eightBitsMask)
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b[16] = byte((f.n[4] >> 16) & eightBitsMask)
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b[15] = byte((f.n[4]>>24)&twoBitsMask | (f.n[5]&sixBitsMask)<<2)
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b[14] = byte((f.n[5] >> 6) & eightBitsMask)
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b[13] = byte((f.n[5] >> 14) & eightBitsMask)
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b[12] = byte((f.n[5]>>22)&fourBitsMask | (f.n[6]&fourBitsMask)<<4)
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b[11] = byte((f.n[6] >> 4) & eightBitsMask)
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b[10] = byte((f.n[6] >> 12) & eightBitsMask)
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b[9] = byte((f.n[6]>>20)&sixBitsMask | (f.n[7]&twoBitsMask)<<6)
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b[8] = byte((f.n[7] >> 2) & eightBitsMask)
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b[7] = byte((f.n[7] >> 10) & eightBitsMask)
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b[6] = byte((f.n[7] >> 18) & eightBitsMask)
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b[5] = byte(f.n[8] & eightBitsMask)
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b[4] = byte((f.n[8] >> 8) & eightBitsMask)
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b[3] = byte((f.n[8] >> 16) & eightBitsMask)
|
|
b[2] = byte((f.n[8]>>24)&twoBitsMask | (f.n[9]&sixBitsMask)<<2)
|
|
b[1] = byte((f.n[9] >> 6) & eightBitsMask)
|
|
b[0] = byte((f.n[9] >> 14) & eightBitsMask)
|
|
}
|
|
|
|
// Bytes unpacks the field value to a 32-byte big-endian value. See PutBytes
|
|
// for a variant that allows the a buffer to be passed which can be useful to
|
|
// to cut down on the number of allocations by allowing the caller to reuse a
|
|
// buffer.
|
|
//
|
|
// The field value must be normalized for this function to return correct
|
|
// result.
|
|
func (f *fieldVal) Bytes() *[32]byte {
|
|
b := new([32]byte)
|
|
f.PutBytes(b)
|
|
return b
|
|
}
|
|
|
|
// IsZero returns whether or not the field value is equal to zero.
|
|
func (f *fieldVal) IsZero() bool {
|
|
// The value can only be zero if no bits are set in any of the words.
|
|
// This is a constant time implementation.
|
|
bits := f.n[0] | f.n[1] | f.n[2] | f.n[3] | f.n[4] |
|
|
f.n[5] | f.n[6] | f.n[7] | f.n[8] | f.n[9]
|
|
|
|
return bits == 0
|
|
}
|
|
|
|
// IsOdd returns whether or not the field value is an odd number.
|
|
//
|
|
// The field value must be normalized for this function to return correct
|
|
// result.
|
|
func (f *fieldVal) IsOdd() bool {
|
|
// Only odd numbers have the bottom bit set.
|
|
return f.n[0]&1 == 1
|
|
}
|
|
|
|
// Equals returns whether or not the two field values are the same. Both
|
|
// field values being compared must be normalized for this function to return
|
|
// the correct result.
|
|
func (f *fieldVal) Equals(val *fieldVal) bool {
|
|
// Xor only sets bits when they are different, so the two field values
|
|
// can only be the same if no bits are set after xoring each word.
|
|
// This is a constant time implementation.
|
|
bits := (f.n[0] ^ val.n[0]) | (f.n[1] ^ val.n[1]) | (f.n[2] ^ val.n[2]) |
|
|
(f.n[3] ^ val.n[3]) | (f.n[4] ^ val.n[4]) | (f.n[5] ^ val.n[5]) |
|
|
(f.n[6] ^ val.n[6]) | (f.n[7] ^ val.n[7]) | (f.n[8] ^ val.n[8]) |
|
|
(f.n[9] ^ val.n[9])
|
|
|
|
return bits == 0
|
|
}
|
|
|
|
// NegateVal negates the passed value and stores the result in f. The caller
|
|
// must provide the magnitude of the passed value for a correct result.
|
|
//
|
|
// The field value is returned to support chaining. This enables syntax like:
|
|
// f.NegateVal(f2).AddInt(1) so that f = -f2 + 1.
|
|
func (f *fieldVal) NegateVal(val *fieldVal, magnitude uint32) *fieldVal {
|
|
// Negation in the field is just the prime minus the value. However,
|
|
// in order to allow negation against a field value without having to
|
|
// normalize/reduce it first, multiply by the magnitude (that is how
|
|
// "far" away it is from the normalized value) to adjust. Also, since
|
|
// negating a value pushes it one more order of magnitude away from the
|
|
// normalized range, add 1 to compensate.
|
|
//
|
|
// For some intuition here, imagine you're performing mod 12 arithmetic
|
|
// (picture a clock) and you are negating the number 7. So you start at
|
|
// 12 (which is of course 0 under mod 12) and count backwards (left on
|
|
// the clock) 7 times to arrive at 5. Notice this is just 12-7 = 5.
|
|
// Now, assume you're starting with 19, which is a number that is
|
|
// already larger than the modulus and congruent to 7 (mod 12). When a
|
|
// value is already in the desired range, its magnitude is 1. Since 19
|
|
// is an additional "step", its magnitude (mod 12) is 2. Since any
|
|
// multiple of the modulus is conguent to zero (mod m), the answer can
|
|
// be shortcut by simply mulplying the magnitude by the modulus and
|
|
// subtracting. Keeping with the example, this would be (2*12)-19 = 5.
|
|
f.n[0] = (magnitude+1)*fieldPrimeWordZero - val.n[0]
|
|
f.n[1] = (magnitude+1)*fieldPrimeWordOne - val.n[1]
|
|
f.n[2] = (magnitude+1)*fieldBaseMask - val.n[2]
|
|
f.n[3] = (magnitude+1)*fieldBaseMask - val.n[3]
|
|
f.n[4] = (magnitude+1)*fieldBaseMask - val.n[4]
|
|
f.n[5] = (magnitude+1)*fieldBaseMask - val.n[5]
|
|
f.n[6] = (magnitude+1)*fieldBaseMask - val.n[6]
|
|
f.n[7] = (magnitude+1)*fieldBaseMask - val.n[7]
|
|
f.n[8] = (magnitude+1)*fieldBaseMask - val.n[8]
|
|
f.n[9] = (magnitude+1)*fieldMSBMask - val.n[9]
|
|
|
|
return f
|
|
}
|
|
|
|
// Negate negates the field value. The existing field value is modified. The
|
|
// caller must provide the magnitude of the field value for a correct result.
|
|
//
|
|
// The field value is returned to support chaining. This enables syntax like:
|
|
// f.Negate().AddInt(1) so that f = -f + 1.
|
|
func (f *fieldVal) Negate(magnitude uint32) *fieldVal {
|
|
return f.NegateVal(f, magnitude)
|
|
}
|
|
|
|
// AddInt adds the passed integer to the existing field value and stores the
|
|
// result in f. This is a convenience function since it is fairly common to
|
|
// perform some arithemetic with small native integers.
|
|
//
|
|
// The field value is returned to support chaining. This enables syntax like:
|
|
// f.AddInt(1).Add(f2) so that f = f + 1 + f2.
|
|
func (f *fieldVal) AddInt(ui uint) *fieldVal {
|
|
// Since the field representation intentionally provides overflow bits,
|
|
// it's ok to use carryless addition as the carry bit is safely part of
|
|
// the word and will be normalized out.
|
|
f.n[0] += uint32(ui)
|
|
|
|
return f
|
|
}
|
|
|
|
// Add adds the passed value to the existing field value and stores the result
|
|
// in f.
|
|
//
|
|
// The field value is returned to support chaining. This enables syntax like:
|
|
// f.Add(f2).AddInt(1) so that f = f + f2 + 1.
|
|
func (f *fieldVal) Add(val *fieldVal) *fieldVal {
|
|
// Since the field representation intentionally provides overflow bits,
|
|
// it's ok to use carryless addition as the carry bit is safely part of
|
|
// each word and will be normalized out. This could obviously be done
|
|
// in a loop, but the unrolled version is faster.
|
|
f.n[0] += val.n[0]
|
|
f.n[1] += val.n[1]
|
|
f.n[2] += val.n[2]
|
|
f.n[3] += val.n[3]
|
|
f.n[4] += val.n[4]
|
|
f.n[5] += val.n[5]
|
|
f.n[6] += val.n[6]
|
|
f.n[7] += val.n[7]
|
|
f.n[8] += val.n[8]
|
|
f.n[9] += val.n[9]
|
|
|
|
return f
|
|
}
|
|
|
|
// Add2 adds the passed two field values together and stores the result in f.
|
|
//
|
|
// The field value is returned to support chaining. This enables syntax like:
|
|
// f3.Add2(f, f2).AddInt(1) so that f3 = f + f2 + 1.
|
|
func (f *fieldVal) Add2(val *fieldVal, val2 *fieldVal) *fieldVal {
|
|
// Since the field representation intentionally provides overflow bits,
|
|
// it's ok to use carryless addition as the carry bit is safely part of
|
|
// each word and will be normalized out. This could obviously be done
|
|
// in a loop, but the unrolled version is faster.
|
|
f.n[0] = val.n[0] + val2.n[0]
|
|
f.n[1] = val.n[1] + val2.n[1]
|
|
f.n[2] = val.n[2] + val2.n[2]
|
|
f.n[3] = val.n[3] + val2.n[3]
|
|
f.n[4] = val.n[4] + val2.n[4]
|
|
f.n[5] = val.n[5] + val2.n[5]
|
|
f.n[6] = val.n[6] + val2.n[6]
|
|
f.n[7] = val.n[7] + val2.n[7]
|
|
f.n[8] = val.n[8] + val2.n[8]
|
|
f.n[9] = val.n[9] + val2.n[9]
|
|
|
|
return f
|
|
}
|
|
|
|
// MulInt multiplies the field value by the passed int and stores the result in
|
|
// f. Note that this function can overflow if multiplying the value by any of
|
|
// the individual words exceeds a max uint32. Therefore it is important that
|
|
// the caller ensures no overflows will occur before using this function.
|
|
//
|
|
// The field value is returned to support chaining. This enables syntax like:
|
|
// f.MulInt(2).Add(f2) so that f = 2 * f + f2.
|
|
func (f *fieldVal) MulInt(val uint) *fieldVal {
|
|
// Since each word of the field representation can hold up to
|
|
// fieldOverflowBits extra bits which will be normalized out, it's safe
|
|
// to multiply each word without using a larger type or carry
|
|
// propagation so long as the values won't overflow a uint32. This
|
|
// could obviously be done in a loop, but the unrolled version is
|
|
// faster.
|
|
ui := uint32(val)
|
|
f.n[0] *= ui
|
|
f.n[1] *= ui
|
|
f.n[2] *= ui
|
|
f.n[3] *= ui
|
|
f.n[4] *= ui
|
|
f.n[5] *= ui
|
|
f.n[6] *= ui
|
|
f.n[7] *= ui
|
|
f.n[8] *= ui
|
|
f.n[9] *= ui
|
|
|
|
return f
|
|
}
|
|
|
|
// Mul multiplies the passed value to the existing field value and stores the
|
|
// result in f. Note that this function can overflow if multiplying any
|
|
// of the individual words exceeds a max uint32. In practice, this means the
|
|
// magnitude of either value involved in the multiplication must be a max of
|
|
// 8.
|
|
//
|
|
// The field value is returned to support chaining. This enables syntax like:
|
|
// f.Mul(f2).AddInt(1) so that f = (f * f2) + 1.
|
|
func (f *fieldVal) Mul(val *fieldVal) *fieldVal {
|
|
return f.Mul2(f, val)
|
|
}
|
|
|
|
// Mul2 multiplies the passed two field values together and stores the result
|
|
// result in f. Note that this function can overflow if multiplying any of
|
|
// the individual words exceeds a max uint32. In practice, this means the
|
|
// magnitude of either value involved in the multiplication must be a max of
|
|
// 8.
|
|
//
|
|
// The field value is returned to support chaining. This enables syntax like:
|
|
// f3.Mul2(f, f2).AddInt(1) so that f3 = (f * f2) + 1.
|
|
func (f *fieldVal) Mul2(val *fieldVal, val2 *fieldVal) *fieldVal {
|
|
// This could be done with a couple of for loops and an array to store
|
|
// the intermediate terms, but this unrolled version is significantly
|
|
// faster.
|
|
|
|
// Terms for 2^(fieldBase*0).
|
|
m := uint64(val.n[0]) * uint64(val2.n[0])
|
|
t0 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*1).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[0])*uint64(val2.n[1]) +
|
|
uint64(val.n[1])*uint64(val2.n[0])
|
|
t1 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*2).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[0])*uint64(val2.n[2]) +
|
|
uint64(val.n[1])*uint64(val2.n[1]) +
|
|
uint64(val.n[2])*uint64(val2.n[0])
|
|
t2 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*3).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[0])*uint64(val2.n[3]) +
|
|
uint64(val.n[1])*uint64(val2.n[2]) +
|
|
uint64(val.n[2])*uint64(val2.n[1]) +
|
|
uint64(val.n[3])*uint64(val2.n[0])
|
|
t3 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*4).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[0])*uint64(val2.n[4]) +
|
|
uint64(val.n[1])*uint64(val2.n[3]) +
|
|
uint64(val.n[2])*uint64(val2.n[2]) +
|
|
uint64(val.n[3])*uint64(val2.n[1]) +
|
|
uint64(val.n[4])*uint64(val2.n[0])
|
|
t4 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*5).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[0])*uint64(val2.n[5]) +
|
|
uint64(val.n[1])*uint64(val2.n[4]) +
|
|
uint64(val.n[2])*uint64(val2.n[3]) +
|
|
uint64(val.n[3])*uint64(val2.n[2]) +
|
|
uint64(val.n[4])*uint64(val2.n[1]) +
|
|
uint64(val.n[5])*uint64(val2.n[0])
|
|
t5 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*6).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[0])*uint64(val2.n[6]) +
|
|
uint64(val.n[1])*uint64(val2.n[5]) +
|
|
uint64(val.n[2])*uint64(val2.n[4]) +
|
|
uint64(val.n[3])*uint64(val2.n[3]) +
|
|
uint64(val.n[4])*uint64(val2.n[2]) +
|
|
uint64(val.n[5])*uint64(val2.n[1]) +
|
|
uint64(val.n[6])*uint64(val2.n[0])
|
|
t6 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*7).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[0])*uint64(val2.n[7]) +
|
|
uint64(val.n[1])*uint64(val2.n[6]) +
|
|
uint64(val.n[2])*uint64(val2.n[5]) +
|
|
uint64(val.n[3])*uint64(val2.n[4]) +
|
|
uint64(val.n[4])*uint64(val2.n[3]) +
|
|
uint64(val.n[5])*uint64(val2.n[2]) +
|
|
uint64(val.n[6])*uint64(val2.n[1]) +
|
|
uint64(val.n[7])*uint64(val2.n[0])
|
|
t7 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*8).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[0])*uint64(val2.n[8]) +
|
|
uint64(val.n[1])*uint64(val2.n[7]) +
|
|
uint64(val.n[2])*uint64(val2.n[6]) +
|
|
uint64(val.n[3])*uint64(val2.n[5]) +
|
|
uint64(val.n[4])*uint64(val2.n[4]) +
|
|
uint64(val.n[5])*uint64(val2.n[3]) +
|
|
uint64(val.n[6])*uint64(val2.n[2]) +
|
|
uint64(val.n[7])*uint64(val2.n[1]) +
|
|
uint64(val.n[8])*uint64(val2.n[0])
|
|
t8 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*9).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[0])*uint64(val2.n[9]) +
|
|
uint64(val.n[1])*uint64(val2.n[8]) +
|
|
uint64(val.n[2])*uint64(val2.n[7]) +
|
|
uint64(val.n[3])*uint64(val2.n[6]) +
|
|
uint64(val.n[4])*uint64(val2.n[5]) +
|
|
uint64(val.n[5])*uint64(val2.n[4]) +
|
|
uint64(val.n[6])*uint64(val2.n[3]) +
|
|
uint64(val.n[7])*uint64(val2.n[2]) +
|
|
uint64(val.n[8])*uint64(val2.n[1]) +
|
|
uint64(val.n[9])*uint64(val2.n[0])
|
|
t9 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*10).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[1])*uint64(val2.n[9]) +
|
|
uint64(val.n[2])*uint64(val2.n[8]) +
|
|
uint64(val.n[3])*uint64(val2.n[7]) +
|
|
uint64(val.n[4])*uint64(val2.n[6]) +
|
|
uint64(val.n[5])*uint64(val2.n[5]) +
|
|
uint64(val.n[6])*uint64(val2.n[4]) +
|
|
uint64(val.n[7])*uint64(val2.n[3]) +
|
|
uint64(val.n[8])*uint64(val2.n[2]) +
|
|
uint64(val.n[9])*uint64(val2.n[1])
|
|
t10 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*11).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[2])*uint64(val2.n[9]) +
|
|
uint64(val.n[3])*uint64(val2.n[8]) +
|
|
uint64(val.n[4])*uint64(val2.n[7]) +
|
|
uint64(val.n[5])*uint64(val2.n[6]) +
|
|
uint64(val.n[6])*uint64(val2.n[5]) +
|
|
uint64(val.n[7])*uint64(val2.n[4]) +
|
|
uint64(val.n[8])*uint64(val2.n[3]) +
|
|
uint64(val.n[9])*uint64(val2.n[2])
|
|
t11 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*12).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[3])*uint64(val2.n[9]) +
|
|
uint64(val.n[4])*uint64(val2.n[8]) +
|
|
uint64(val.n[5])*uint64(val2.n[7]) +
|
|
uint64(val.n[6])*uint64(val2.n[6]) +
|
|
uint64(val.n[7])*uint64(val2.n[5]) +
|
|
uint64(val.n[8])*uint64(val2.n[4]) +
|
|
uint64(val.n[9])*uint64(val2.n[3])
|
|
t12 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*13).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[4])*uint64(val2.n[9]) +
|
|
uint64(val.n[5])*uint64(val2.n[8]) +
|
|
uint64(val.n[6])*uint64(val2.n[7]) +
|
|
uint64(val.n[7])*uint64(val2.n[6]) +
|
|
uint64(val.n[8])*uint64(val2.n[5]) +
|
|
uint64(val.n[9])*uint64(val2.n[4])
|
|
t13 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*14).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[5])*uint64(val2.n[9]) +
|
|
uint64(val.n[6])*uint64(val2.n[8]) +
|
|
uint64(val.n[7])*uint64(val2.n[7]) +
|
|
uint64(val.n[8])*uint64(val2.n[6]) +
|
|
uint64(val.n[9])*uint64(val2.n[5])
|
|
t14 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*15).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[6])*uint64(val2.n[9]) +
|
|
uint64(val.n[7])*uint64(val2.n[8]) +
|
|
uint64(val.n[8])*uint64(val2.n[7]) +
|
|
uint64(val.n[9])*uint64(val2.n[6])
|
|
t15 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*16).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[7])*uint64(val2.n[9]) +
|
|
uint64(val.n[8])*uint64(val2.n[8]) +
|
|
uint64(val.n[9])*uint64(val2.n[7])
|
|
t16 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*17).
|
|
m = (m >> fieldBase) +
|
|
uint64(val.n[8])*uint64(val2.n[9]) +
|
|
uint64(val.n[9])*uint64(val2.n[8])
|
|
t17 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*18).
|
|
m = (m >> fieldBase) + uint64(val.n[9])*uint64(val2.n[9])
|
|
t18 := m & fieldBaseMask
|
|
|
|
// What's left is for 2^(fieldBase*19).
|
|
t19 := m >> fieldBase
|
|
|
|
// At this point, all of the terms are grouped into their respective
|
|
// base.
|
|
//
|
|
// Per [HAC] section 14.3.4: Reduction method of moduli of special form,
|
|
// when the modulus is of the special form m = b^t - c, highly efficient
|
|
// reduction can be achieved per the provided algorithm.
|
|
//
|
|
// The secp256k1 prime is equivalent to 2^256 - 4294968273, so it fits
|
|
// this criteria.
|
|
//
|
|
// 4294968273 in field representation (base 2^26) is:
|
|
// n[0] = 977
|
|
// n[1] = 64
|
|
// That is to say (2^26 * 64) + 977 = 4294968273
|
|
//
|
|
// Since each word is in base 26, the upper terms (t10 and up) start
|
|
// at 260 bits (versus the final desired range of 256 bits), so the
|
|
// field representation of 'c' from above needs to be adjusted for the
|
|
// extra 4 bits by multiplying it by 2^4 = 16. 4294968273 * 16 =
|
|
// 68719492368. Thus, the adjusted field representation of 'c' is:
|
|
// n[0] = 977 * 16 = 15632
|
|
// n[1] = 64 * 16 = 1024
|
|
// That is to say (2^26 * 1024) + 15632 = 68719492368
|
|
//
|
|
// To reduce the final term, t19, the entire 'c' value is needed instead
|
|
// of only n[0] because there are no more terms left to handle n[1].
|
|
// This means there might be some magnitude left in the upper bits that
|
|
// is handled below.
|
|
m = t0 + t10*15632
|
|
t0 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t1 + t10*1024 + t11*15632
|
|
t1 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t2 + t11*1024 + t12*15632
|
|
t2 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t3 + t12*1024 + t13*15632
|
|
t3 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t4 + t13*1024 + t14*15632
|
|
t4 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t5 + t14*1024 + t15*15632
|
|
t5 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t6 + t15*1024 + t16*15632
|
|
t6 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t7 + t16*1024 + t17*15632
|
|
t7 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t8 + t17*1024 + t18*15632
|
|
t8 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t9 + t18*1024 + t19*68719492368
|
|
t9 = m & fieldMSBMask
|
|
m = m >> fieldMSBBits
|
|
|
|
// At this point, if the magnitude is greater than 0, the overall value
|
|
// is greater than the max possible 256-bit value. In particular, it is
|
|
// "how many times larger" than the max value it is.
|
|
//
|
|
// The algorithm presented in [HAC] section 14.3.4 repeats until the
|
|
// quotient is zero. However, due to the above, we already know at
|
|
// least how many times we would need to repeat as it's the value
|
|
// currently in m. Thus we can simply multiply the magnitude by the
|
|
// field representation of the prime and do a single iteration. Notice
|
|
// that nothing will be changed when the magnitude is zero, so we could
|
|
// skip this in that case, however always running regardless allows it
|
|
// to run in constant time. The final result will be in the range
|
|
// 0 <= result <= prime + (2^64 - c), so it is guaranteed to have a
|
|
// magnitude of 1, but it is denormalized.
|
|
d := t0 + m*977
|
|
f.n[0] = uint32(d & fieldBaseMask)
|
|
d = (d >> fieldBase) + t1 + m*64
|
|
f.n[1] = uint32(d & fieldBaseMask)
|
|
f.n[2] = uint32((d >> fieldBase) + t2)
|
|
f.n[3] = uint32(t3)
|
|
f.n[4] = uint32(t4)
|
|
f.n[5] = uint32(t5)
|
|
f.n[6] = uint32(t6)
|
|
f.n[7] = uint32(t7)
|
|
f.n[8] = uint32(t8)
|
|
f.n[9] = uint32(t9)
|
|
|
|
return f
|
|
}
|
|
|
|
// Square squares the field value. The existing field value is modified. Note
|
|
// that this function can overflow if multiplying any of the individual words
|
|
// exceeds a max uint32. In practice, this means the magnitude of the field
|
|
// must be a max of 8 to prevent overflow.
|
|
//
|
|
// The field value is returned to support chaining. This enables syntax like:
|
|
// f.Square().Mul(f2) so that f = f^2 * f2.
|
|
func (f *fieldVal) Square() *fieldVal {
|
|
return f.SquareVal(f)
|
|
}
|
|
|
|
// SquareVal squares the passed value and stores the result in f. Note that
|
|
// this function can overflow if multiplying any of the individual words
|
|
// exceeds a max uint32. In practice, this means the magnitude of the field
|
|
// being squred must be a max of 8 to prevent overflow.
|
|
//
|
|
// The field value is returned to support chaining. This enables syntax like:
|
|
// f3.SquareVal(f).Mul(f) so that f3 = f^2 * f = f^3.
|
|
func (f *fieldVal) SquareVal(val *fieldVal) *fieldVal {
|
|
// This could be done with a couple of for loops and an array to store
|
|
// the intermediate terms, but this unrolled version is significantly
|
|
// faster.
|
|
|
|
// Terms for 2^(fieldBase*0).
|
|
m := uint64(val.n[0]) * uint64(val.n[0])
|
|
t0 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*1).
|
|
m = (m >> fieldBase) + 2*uint64(val.n[0])*uint64(val.n[1])
|
|
t1 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*2).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[0])*uint64(val.n[2]) +
|
|
uint64(val.n[1])*uint64(val.n[1])
|
|
t2 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*3).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[0])*uint64(val.n[3]) +
|
|
2*uint64(val.n[1])*uint64(val.n[2])
|
|
t3 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*4).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[0])*uint64(val.n[4]) +
|
|
2*uint64(val.n[1])*uint64(val.n[3]) +
|
|
uint64(val.n[2])*uint64(val.n[2])
|
|
t4 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*5).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[0])*uint64(val.n[5]) +
|
|
2*uint64(val.n[1])*uint64(val.n[4]) +
|
|
2*uint64(val.n[2])*uint64(val.n[3])
|
|
t5 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*6).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[0])*uint64(val.n[6]) +
|
|
2*uint64(val.n[1])*uint64(val.n[5]) +
|
|
2*uint64(val.n[2])*uint64(val.n[4]) +
|
|
uint64(val.n[3])*uint64(val.n[3])
|
|
t6 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*7).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[0])*uint64(val.n[7]) +
|
|
2*uint64(val.n[1])*uint64(val.n[6]) +
|
|
2*uint64(val.n[2])*uint64(val.n[5]) +
|
|
2*uint64(val.n[3])*uint64(val.n[4])
|
|
t7 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*8).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[0])*uint64(val.n[8]) +
|
|
2*uint64(val.n[1])*uint64(val.n[7]) +
|
|
2*uint64(val.n[2])*uint64(val.n[6]) +
|
|
2*uint64(val.n[3])*uint64(val.n[5]) +
|
|
uint64(val.n[4])*uint64(val.n[4])
|
|
t8 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*9).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[0])*uint64(val.n[9]) +
|
|
2*uint64(val.n[1])*uint64(val.n[8]) +
|
|
2*uint64(val.n[2])*uint64(val.n[7]) +
|
|
2*uint64(val.n[3])*uint64(val.n[6]) +
|
|
2*uint64(val.n[4])*uint64(val.n[5])
|
|
t9 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*10).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[1])*uint64(val.n[9]) +
|
|
2*uint64(val.n[2])*uint64(val.n[8]) +
|
|
2*uint64(val.n[3])*uint64(val.n[7]) +
|
|
2*uint64(val.n[4])*uint64(val.n[6]) +
|
|
uint64(val.n[5])*uint64(val.n[5])
|
|
t10 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*11).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[2])*uint64(val.n[9]) +
|
|
2*uint64(val.n[3])*uint64(val.n[8]) +
|
|
2*uint64(val.n[4])*uint64(val.n[7]) +
|
|
2*uint64(val.n[5])*uint64(val.n[6])
|
|
t11 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*12).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[3])*uint64(val.n[9]) +
|
|
2*uint64(val.n[4])*uint64(val.n[8]) +
|
|
2*uint64(val.n[5])*uint64(val.n[7]) +
|
|
uint64(val.n[6])*uint64(val.n[6])
|
|
t12 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*13).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[4])*uint64(val.n[9]) +
|
|
2*uint64(val.n[5])*uint64(val.n[8]) +
|
|
2*uint64(val.n[6])*uint64(val.n[7])
|
|
t13 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*14).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[5])*uint64(val.n[9]) +
|
|
2*uint64(val.n[6])*uint64(val.n[8]) +
|
|
uint64(val.n[7])*uint64(val.n[7])
|
|
t14 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*15).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[6])*uint64(val.n[9]) +
|
|
2*uint64(val.n[7])*uint64(val.n[8])
|
|
t15 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*16).
|
|
m = (m >> fieldBase) +
|
|
2*uint64(val.n[7])*uint64(val.n[9]) +
|
|
uint64(val.n[8])*uint64(val.n[8])
|
|
t16 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*17).
|
|
m = (m >> fieldBase) + 2*uint64(val.n[8])*uint64(val.n[9])
|
|
t17 := m & fieldBaseMask
|
|
|
|
// Terms for 2^(fieldBase*18).
|
|
m = (m >> fieldBase) + uint64(val.n[9])*uint64(val.n[9])
|
|
t18 := m & fieldBaseMask
|
|
|
|
// What's left is for 2^(fieldBase*19).
|
|
t19 := m >> fieldBase
|
|
|
|
// At this point, all of the terms are grouped into their respective
|
|
// base.
|
|
//
|
|
// Per [HAC] section 14.3.4: Reduction method of moduli of special form,
|
|
// when the modulus is of the special form m = b^t - c, highly efficient
|
|
// reduction can be achieved per the provided algorithm.
|
|
//
|
|
// The secp256k1 prime is equivalent to 2^256 - 4294968273, so it fits
|
|
// this criteria.
|
|
//
|
|
// 4294968273 in field representation (base 2^26) is:
|
|
// n[0] = 977
|
|
// n[1] = 64
|
|
// That is to say (2^26 * 64) + 977 = 4294968273
|
|
//
|
|
// Since each word is in base 26, the upper terms (t10 and up) start
|
|
// at 260 bits (versus the final desired range of 256 bits), so the
|
|
// field representation of 'c' from above needs to be adjusted for the
|
|
// extra 4 bits by multiplying it by 2^4 = 16. 4294968273 * 16 =
|
|
// 68719492368. Thus, the adjusted field representation of 'c' is:
|
|
// n[0] = 977 * 16 = 15632
|
|
// n[1] = 64 * 16 = 1024
|
|
// That is to say (2^26 * 1024) + 15632 = 68719492368
|
|
//
|
|
// To reduce the final term, t19, the entire 'c' value is needed instead
|
|
// of only n[0] because there are no more terms left to handle n[1].
|
|
// This means there might be some magnitude left in the upper bits that
|
|
// is handled below.
|
|
m = t0 + t10*15632
|
|
t0 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t1 + t10*1024 + t11*15632
|
|
t1 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t2 + t11*1024 + t12*15632
|
|
t2 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t3 + t12*1024 + t13*15632
|
|
t3 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t4 + t13*1024 + t14*15632
|
|
t4 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t5 + t14*1024 + t15*15632
|
|
t5 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t6 + t15*1024 + t16*15632
|
|
t6 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t7 + t16*1024 + t17*15632
|
|
t7 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t8 + t17*1024 + t18*15632
|
|
t8 = m & fieldBaseMask
|
|
m = (m >> fieldBase) + t9 + t18*1024 + t19*68719492368
|
|
t9 = m & fieldMSBMask
|
|
m = m >> fieldMSBBits
|
|
|
|
// At this point, if the magnitude is greater than 0, the overall value
|
|
// is greater than the max possible 256-bit value. In particular, it is
|
|
// "how many times larger" than the max value it is.
|
|
//
|
|
// The algorithm presented in [HAC] section 14.3.4 repeats until the
|
|
// quotient is zero. However, due to the above, we already know at
|
|
// least how many times we would need to repeat as it's the value
|
|
// currently in m. Thus we can simply multiply the magnitude by the
|
|
// field representation of the prime and do a single iteration. Notice
|
|
// that nothing will be changed when the magnitude is zero, so we could
|
|
// skip this in that case, however always running regardless allows it
|
|
// to run in constant time. The final result will be in the range
|
|
// 0 <= result <= prime + (2^64 - c), so it is guaranteed to have a
|
|
// magnitude of 1, but it is denormalized.
|
|
n := t0 + m*977
|
|
f.n[0] = uint32(n & fieldBaseMask)
|
|
n = (n >> fieldBase) + t1 + m*64
|
|
f.n[1] = uint32(n & fieldBaseMask)
|
|
f.n[2] = uint32((n >> fieldBase) + t2)
|
|
f.n[3] = uint32(t3)
|
|
f.n[4] = uint32(t4)
|
|
f.n[5] = uint32(t5)
|
|
f.n[6] = uint32(t6)
|
|
f.n[7] = uint32(t7)
|
|
f.n[8] = uint32(t8)
|
|
f.n[9] = uint32(t9)
|
|
|
|
return f
|
|
}
|
|
|
|
// Inverse finds the modular multiplicative inverse of the field value. The
|
|
// existing field value is modified.
|
|
//
|
|
// The field value is returned to support chaining. This enables syntax like:
|
|
// f.Inverse().Mul(f2) so that f = f^-1 * f2.
|
|
func (f *fieldVal) Inverse() *fieldVal {
|
|
// Fermat's little theorem states that for a nonzero number a and prime
|
|
// prime p, a^(p-1) = 1 (mod p). Since the multipliciative inverse is
|
|
// a*b = 1 (mod p), it follows that b = a*a^(p-2) = a^(p-1) = 1 (mod p).
|
|
// Thus, a^(p-2) is the multiplicative inverse.
|
|
//
|
|
// In order to efficiently compute a^(p-2), p-2 needs to be split into
|
|
// a sequence of squares and multipications that minimizes the number of
|
|
// multiplications needed (since they are more costly than squarings).
|
|
// Intermediate results are saved and reused as well.
|
|
//
|
|
// The secp256k1 prime - 2 is 2^256 - 4294968275.
|
|
//
|
|
// This has a cost of 258 field squarings and 33 field multiplications.
|
|
var a2, a3, a4, a10, a11, a21, a42, a45, a63, a1019, a1023 fieldVal
|
|
a2.SquareVal(f)
|
|
a3.Mul2(&a2, f)
|
|
a4.SquareVal(&a2)
|
|
a10.SquareVal(&a4).Mul(&a2)
|
|
a11.Mul2(&a10, f)
|
|
a21.Mul2(&a10, &a11)
|
|
a42.SquareVal(&a21)
|
|
a45.Mul2(&a42, &a3)
|
|
a63.Mul2(&a42, &a21)
|
|
a1019.SquareVal(&a63).Square().Square().Square().Mul(&a11)
|
|
a1023.Mul2(&a1019, &a4)
|
|
f.Set(&a63) // f = a^(2^6 - 1)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^11 - 32)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^16 - 1024)
|
|
f.Mul(&a1023) // f = a^(2^16 - 1)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^21 - 32)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^26 - 1024)
|
|
f.Mul(&a1023) // f = a^(2^26 - 1)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^31 - 32)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^36 - 1024)
|
|
f.Mul(&a1023) // f = a^(2^36 - 1)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^41 - 32)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^46 - 1024)
|
|
f.Mul(&a1023) // f = a^(2^46 - 1)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^51 - 32)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^56 - 1024)
|
|
f.Mul(&a1023) // f = a^(2^56 - 1)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^61 - 32)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^66 - 1024)
|
|
f.Mul(&a1023) // f = a^(2^66 - 1)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^71 - 32)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^76 - 1024)
|
|
f.Mul(&a1023) // f = a^(2^76 - 1)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^81 - 32)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^86 - 1024)
|
|
f.Mul(&a1023) // f = a^(2^86 - 1)
|
|
f.Square().Square().Square().Square().Square() // f = a^(2^91 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^96 - 1024)
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f.Mul(&a1023) // f = a^(2^96 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^101 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^106 - 1024)
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f.Mul(&a1023) // f = a^(2^106 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^111 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^116 - 1024)
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f.Mul(&a1023) // f = a^(2^116 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^121 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^126 - 1024)
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f.Mul(&a1023) // f = a^(2^126 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^131 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^136 - 1024)
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f.Mul(&a1023) // f = a^(2^136 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^141 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^146 - 1024)
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f.Mul(&a1023) // f = a^(2^146 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^151 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^156 - 1024)
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f.Mul(&a1023) // f = a^(2^156 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^161 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^166 - 1024)
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f.Mul(&a1023) // f = a^(2^166 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^171 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^176 - 1024)
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f.Mul(&a1023) // f = a^(2^176 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^181 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^186 - 1024)
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f.Mul(&a1023) // f = a^(2^186 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^191 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^196 - 1024)
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f.Mul(&a1023) // f = a^(2^196 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^201 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^206 - 1024)
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f.Mul(&a1023) // f = a^(2^206 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^211 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^216 - 1024)
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f.Mul(&a1023) // f = a^(2^216 - 1)
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f.Square().Square().Square().Square().Square() // f = a^(2^221 - 32)
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f.Square().Square().Square().Square().Square() // f = a^(2^226 - 1024)
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f.Mul(&a1019) // f = a^(2^226 - 5)
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f.Square().Square().Square().Square().Square() // f = a^(2^231 - 160)
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f.Square().Square().Square().Square().Square() // f = a^(2^236 - 5120)
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f.Mul(&a1023) // f = a^(2^236 - 4097)
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f.Square().Square().Square().Square().Square() // f = a^(2^241 - 131104)
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f.Square().Square().Square().Square().Square() // f = a^(2^246 - 4195328)
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f.Mul(&a1023) // f = a^(2^246 - 4194305)
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f.Square().Square().Square().Square().Square() // f = a^(2^251 - 134217760)
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f.Square().Square().Square().Square().Square() // f = a^(2^256 - 4294968320)
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return f.Mul(&a45) // f = a^(2^256 - 4294968275) = a^(p-2)
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}
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