/* Cauchy Reed Solomon Erasure Coding Copyright 2024 Ahmet Inan */ #pragma once namespace CODE { template struct CauchyReedSolomonErasureCoding2 { PF row_num, row_den; // $a_{ij} = \frac{1}{x_i + y_j}$ __attribute__((flatten)) PF cauchy_matrix(int i, int j) { PF row(i), col(j); return rcp(row + col); } // $b_{ij} = \frac{\prod_{k=1}^{n}{(x_j + y_k)(x_k + y_i)}}{(x_j + y_i)\prod_{k \ne j}^{n}{(x_j - x_k)}\prod_{k \ne i}^{n}{(y_i - y_k)}}$ __attribute__((flatten)) PF inverse_cauchy_matrix(const PF *rows, int i, int j, int n) { #if 0 PF col_i(i); PF prod_xy(1), prod_x(1), prod_y(1); for (int k = 0; k < n; k++) { PF col_k(k); prod_xy *= (rows[j] + col_k) * (rows[k] + col_i); if (k != j) prod_x *= (rows[j] - rows[k]); if (k != i) prod_y *= (col_i - col_k); } return prod_xy / ((rows[j] + col_i) * prod_x * prod_y); #else PF col_i(i); if (j == 0) { PF num(1), den(1); for (int k = 0, r = 2; k < n; k++, --r) { PF col_k(k); num = mul(num, add(rows[k], col_i)); if (k != i) den = mul(den, sub(col_i, col_k)); if (!r) { r = 3; num = reduce(num); den = reduce(den); } } row_num = reduce(num); row_den = reduce(den); } PF num(row_num), den(row_den); for (int k = 0, r = 2; k < n; k++, --r) { PF col_k(k); num = mul(num, add(rows[j], col_k)); if (k != j) den = mul(den, sub(rows[j], rows[k])); if (!r) { r = 3; num = reduce(num); den = reduce(den); } } num = reduce(num); den = reduce(den); return num / (add(rows[j], col_i) * den); #endif } __attribute__((flatten)) static inline void multiply_accumulate(PF *c, const PF *a, PF b, int len, bool first, bool last) { if (first) { for (int i = 0; i < len; i++) c[i] = b * a[i]; } else if (last) { for (int i = 0; i < len; i++) c[i] = reduce(add(c[i], b * a[i])); } else { for (int i = 0; i < len; i++) c[i] = add(c[i], b * a[i]); } } void encode(const PF *data, PF *block, int block_id, int block_len, int block_cnt) { assert(block_id >= block_cnt && block_id < int(PF::P) / 2); for (int k = 0; k < block_cnt; k++) { PF a_ik = cauchy_matrix(block_id, k); multiply_accumulate(block, data + block_len * k, a_ik, block_len, !k, k == block_cnt - 1); } } void decode(PF *data, const PF *blocks, const PF *block_ids, int block_idx, int block_len, int block_cnt) { for (int k = 0; k < block_cnt; k++) { PF b_ik = inverse_cauchy_matrix(block_ids, block_idx, k, block_cnt); multiply_accumulate(data, blocks + block_len * k, b_ik, block_len, !k, k == block_cnt - 1); } } }; }