mirror of
https://github.com/henrydcase/pqc.git
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b3f9d4f8d6
* Add McEliece reference implementations * Add Vec implementations of McEliece * Add sse implementations * Add AVX2 implementations * Get rid of stuff not supported by Mac ABI * restrict to two cores * Ditch .data files * Remove .hidden from all .S files * speed up duplicate consistency tests by batching * make cpuinfo more robust * Hope to stabilize macos cpuinfo without ccache * Revert "Hope to stabilize macos cpuinfo without ccache" This reverts commit 6129c3cabe1abbc8b956bc87e902a698e32bf322. * Just hardcode what's available at travis * Fixed-size types in api.h * namespace all header files in mceliece * Ditch operations.h * Get rid of static inline functions * fixup! Ditch operations.h
237 lines
5.8 KiB
C
237 lines
5.8 KiB
C
/*
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This file is for public-key generation
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*/
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#include "pk_gen.h"
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#include "benes.h"
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#include "controlbits.h"
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#include "fft.h"
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#include "params.h"
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#include "util.h"
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#include <stdint.h>
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static void de_bitslicing(uint64_t *out, vec in[][GFBITS]) {
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int i, j, r;
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for (i = 0; i < (1 << GFBITS); i++) {
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out[i] = 0 ;
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}
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for (i = 0; i < 128; i++) {
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for (j = GFBITS - 1; j >= 0; j--) {
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for (r = 0; r < 64; r++) {
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out[i * 64 + r] <<= 1;
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out[i * 64 + r] |= (in[i][j] >> r) & 1;
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}
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}
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}
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}
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static void to_bitslicing_2x(vec out0[][GFBITS], vec out1[][GFBITS], const uint64_t *in) {
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int i, j, r;
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for (i = 0; i < 128; i++) {
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for (j = GFBITS - 1; j >= 0; j--) {
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for (r = 63; r >= 0; r--) {
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out1[i][j] <<= 1;
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out1[i][j] |= (in[i * 64 + r] >> (j + GFBITS)) & 1;
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}
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}
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for (j = GFBITS - 1; j >= 0; j--) {
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for (r = 63; r >= 0; r--) {
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out0[i][GFBITS - 1 - j] <<= 1;
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out0[i][GFBITS - 1 - j] |= (in[i * 64 + r] >> j) & 1;
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}
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}
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}
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}
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int PQCLEAN_MCELIECE6688128_VEC_pk_gen(unsigned char *pk, uint32_t *perm, const unsigned char *sk) {
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#define NBLOCKS_H ((SYS_N + 63) / 64)
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#define NBLOCKS_I ((GFBITS * SYS_T + 63) / 64)
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const int block_idx = NBLOCKS_I;
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int i, j, k;
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int row, c;
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uint64_t mat[ GFBITS * SYS_T ][ NBLOCKS_H ];
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uint64_t ops[ GFBITS * SYS_T ][ NBLOCKS_I ];
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uint64_t mask;
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vec irr_int[2][ GFBITS ];
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vec consts[ 128 ][ GFBITS ];
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vec eval[ 128 ][ GFBITS ];
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vec prod[ 128 ][ GFBITS ];
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vec tmp[ GFBITS ];
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uint64_t list[1 << GFBITS];
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uint64_t one_row[ 128 ];
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// compute the inverses
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PQCLEAN_MCELIECE6688128_VEC_irr_load(irr_int, sk);
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PQCLEAN_MCELIECE6688128_VEC_fft(eval, irr_int);
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PQCLEAN_MCELIECE6688128_VEC_vec_copy(prod[0], eval[0]);
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for (i = 1; i < 128; i++) {
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PQCLEAN_MCELIECE6688128_VEC_vec_mul(prod[i], prod[i - 1], eval[i]);
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}
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PQCLEAN_MCELIECE6688128_VEC_vec_inv(tmp, prod[127]);
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for (i = 126; i >= 0; i--) {
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PQCLEAN_MCELIECE6688128_VEC_vec_mul(prod[i + 1], prod[i], tmp);
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PQCLEAN_MCELIECE6688128_VEC_vec_mul(tmp, tmp, eval[i + 1]);
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}
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PQCLEAN_MCELIECE6688128_VEC_vec_copy(prod[0], tmp);
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// fill matrix
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de_bitslicing(list, prod);
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for (i = 0; i < (1 << GFBITS); i++) {
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list[i] <<= GFBITS;
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list[i] |= i;
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list[i] |= ((uint64_t) perm[i]) << 31;
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}
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PQCLEAN_MCELIECE6688128_VEC_sort_63b(1 << GFBITS, list);
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to_bitslicing_2x(consts, prod, list);
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for (i = 0; i < (1 << GFBITS); i++) {
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perm[i] = list[i] & GFMASK;
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}
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for (j = 0; j < NBLOCKS_I; j++) {
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for (k = 0; k < GFBITS; k++) {
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mat[ k ][ j ] = prod[ j ][ k ];
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}
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}
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for (i = 1; i < SYS_T; i++) {
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for (j = 0; j < NBLOCKS_I; j++) {
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PQCLEAN_MCELIECE6688128_VEC_vec_mul(prod[j], prod[j], consts[j]);
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for (k = 0; k < GFBITS; k++) {
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mat[ i * GFBITS + k ][ j ] = prod[ j ][ k ];
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}
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}
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}
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// gaussian elimination to obtain an upper triangular matrix
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// and keep track of the operations in ops
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for (i = 0; i < PK_NROWS; i++) {
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for (j = 0; j < NBLOCKS_I; j++) {
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ops[ i ][ j ] = 0;
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}
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}
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for (i = 0; i < PK_NROWS; i++) {
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ops[ i ][ i / 64 ] = 1;
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ops[ i ][ i / 64 ] <<= (i % 64);
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}
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for (row = 0; row < PK_NROWS; row++) {
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i = row >> 6;
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j = row & 63;
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for (k = row + 1; k < PK_NROWS; k++) {
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mask = mat[ row ][ i ] >> j;
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mask &= 1;
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mask -= 1;
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for (c = 0; c < NBLOCKS_I; c++) {
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mat[ row ][ c ] ^= mat[ k ][ c ] & mask;
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ops[ row ][ c ] ^= ops[ k ][ c ] & mask;
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}
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}
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if ( ((mat[ row ][ i ] >> j) & 1) == 0 ) { // return if not systematic
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return -1;
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}
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for (k = row + 1; k < PK_NROWS; k++) {
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mask = mat[ k ][ i ] >> j;
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mask &= 1;
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mask = -mask;
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for (c = 0; c < NBLOCKS_I; c++) {
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mat[ k ][ c ] ^= mat[ row ][ c ] & mask;
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ops[ k ][ c ] ^= ops[ row ][ c ] & mask;
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}
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}
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}
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// computing the lineaer map required to obatin the systematic form
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for (row = PK_NROWS - 1; row >= 0; row--) {
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for (k = 0; k < row; k++) {
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mask = mat[ k ][ row / 64 ] >> (row & 63);
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mask &= 1;
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mask = -mask;
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for (c = 0; c < NBLOCKS_I; c++) {
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ops[ k ][ c ] ^= ops[ row ][ c ] & mask;
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}
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}
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}
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// apply the linear map to the non-systematic part
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for (j = NBLOCKS_I; j < NBLOCKS_H; j++) {
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for (k = 0; k < GFBITS; k++) {
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mat[ k ][ j ] = prod[ j ][ k ];
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}
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}
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for (i = 1; i < SYS_T; i++) {
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for (j = NBLOCKS_I; j < NBLOCKS_H; j++) {
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PQCLEAN_MCELIECE6688128_VEC_vec_mul(prod[j], prod[j], consts[j]);
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for (k = 0; k < GFBITS; k++) {
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mat[ i * GFBITS + k ][ j ] = prod[ j ][ k ];
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}
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}
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}
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for (row = 0; row < PK_NROWS; row++) {
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for (k = 0; k < NBLOCKS_H; k++) {
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one_row[ k ] = 0;
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}
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for (c = 0; c < PK_NROWS; c++) {
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mask = ops[ row ][ c >> 6 ] >> (c & 63);
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mask &= 1;
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mask = -mask;
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for (k = block_idx; k < NBLOCKS_H; k++) {
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one_row[ k ] ^= mat[ c ][ k ] & mask;
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}
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}
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for (k = block_idx; k < NBLOCKS_H - 1; k++) {
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PQCLEAN_MCELIECE6688128_VEC_store8(pk, one_row[k]);
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pk += 8;
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}
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PQCLEAN_MCELIECE6688128_VEC_store_i(pk, one_row[k], PK_ROW_BYTES % 8);
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pk += PK_ROW_BYTES % 8;
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}
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//
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return 0;
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}
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