random.c File Reference

#include <assert.h>
#include "random.h"
#include "../common/rng.h"
#include "int32_sort.h"
#include "int32mask.h"

Include dependency graph for random.c:

Go to the source code of this file.

Functions
void	random_wombats (uint8_t *key, const long long numkeys, const long long batch_start, const long long batch_stop, const long long batch_sumykeys)
void	random_boundedl1 (int8_t *e, const long long w, const long long S)
int64_t	random_coin (uint64_t num, uint64_t den)

Function Documentation

random_boundedl1()

void random_boundedl1	(	int8_t *	e,
		const long long	w,
		const long long	S )

Definition at line 63 of file random.c.

{
    // standard correspondences:
    // e[0],e[1],...,e[w-1] are w nonnegative integers
    // with sum at most S
    // <=> 1+e[0],1+e[1],...,1+e[w-1] are w positive integers
    // with sum at most S+w
    // <=> 1+e[0],1+e[0]+1+e[1],... are w integers
    // in strictly increasing order
    // between 1 and S+w
    // <=> e[0],1+e[0]+e[1],... are w integers
    // in strictly increasing order
    // between 0 and S+w-1
 
    assert(w >= 0);
    assert(w < 128);
    assert(S >= 0);
    assert(S < 128);
    if (!w)
        return;
 
    const long long rnum = S + w;
    assert(rnum <= 254);
    /* XXX: Microsoft compiler doesn't handle int32_t r[S+w] */
    int32_t r[254];
 
    for (;;)
    { /* rejection-sampling loop */
        randombytes(r, 4 * rnum);
        for (long long j = 0; j < rnum; ++j)
            r[j] &= ~1;
        for (long long j = 0; j < w; ++j)
            r[j] |= 1;
        int32_sort(r, rnum);
        long long collision = 0;
        for (long long j = 1; j < w; ++j)
            collision |= int32mask_zero((r[j] ^ r[j - 1]) & ~1);
 
        // crypto_declassify(&collision,sizeof collision);
        if (collision)
            continue;
 
        for (long long j = 0; j < rnum; ++j)
            r[j] &= 1;
        // now r has Hamming weight w
 
        for (long long j = 1; j < rnum; ++j)
            r[j] += r[j - 1];
        // now r has >=0 copies of 0,
        // >=1 copies of 1, >=1 copies of 2, ..., >=1 copies of w
 
        for (long long i = 0; i < w; ++i)
        {
            long long numi = 0;
            for (long long j = 0; j < rnum; ++j)
                numi -= int32mask_equal(r[j], i);
            e[i] = numi;
        }
        // now e[0]>=0, e[1]>=1, e[2]>=1, ..., e[w-1]>=1
        // and ghost e[w]>=1, not stored
        // e[0]+e[1]+...+e[w] = rnum
        // so e[0]+e[1]+...+e[w-1] <= rnum-1
 
        for (long long i = 1; i < w; ++i)
            --e[i];
        // now e[0]>=0, e[1]>=0, e[2]>=0, ..., e[w-1]>=0
        // sum <= (rnum-1)-(w-1)
        // i.e. sum <= S
 
        // not done yet: want to allow negative e
 
        // but simply negating will give zeros too much weight
        // for uniformity, keep e with probability 1/2^z
        // where z is the number of zeros in e
 
        // speedup: actually keep e with probability 2^zmin/2^z
        // where zmin is minimum possible value of z
 
        // strategy: start counter at w-S
        // and decrease by 1 for each zero bit
        // and, if negative, flip coin for each zero bit
        long long counter = w - S;
 
        randombytes(r, 4 * ((w + 31) / 32));
        long long reject = 0;
        for (long long i = 0; i < w; ++i)
        {
            int32_t rbit = 1 & (r[i / 32] >> (i & 31));
            int32_t eizeromask = int32mask_zero(e[i]);
            counter += eizeromask;
            reject |= int32mask_negative(counter) & eizeromask & rbit;
        }
 
        // crypto_declassify(&reject,sizeof reject);
        if (reject)
            continue;
 
        // ok to reuse randomness in r:
        // bits used here are for e[i] nonzero,
        // bits used above are for e[i] zero
        for (long long i = 0; i < w; ++i)
        {
            int32_t rbit = 1 & (r[i / 32] >> (i & 31));
            e[i] ^= -rbit;
            e[i] += rbit;
        }
 
#if defined(RVRSIDH)
        // RiverSIDH ###########################
        int negative = 0, positive = 0;
        for (long long i = 0; i < w; ++i)
        {
            negative += int32mask_negative(e[i]) & e[i];
            positive += ~int32mask_negative(e[i]) & e[i];
        }
 
        if ((negative < -(S >> 1)) || (positive > (S >> 1)))
            continue;
            // #####################################
#endif
 
        return;
    }
}

References assert(), i, int32_sort, j, and randombytes().

Here is the call graph for this function:

random_coin()

int64_t random_coin	(	uint64_t	num,
		uint64_t	den )

Definition at line 198 of file random.c.

{
    uint8_t buf[32];
    uint64_t r = 0;
 
    randombytes(buf, sizeof buf);
 
    for (long long i = 0; i < 256; ++i)
    {
        uint64_t bit = 1 & (buf[i / 8] >> (i & 7));
        r <<= 1;
        r += bit;
        r ^= (~uint64mask_lessthan(r, den)) & (r ^ (r - den));
    }
    // XXX: speed this up
 
    return uint64mask_lessthan(r, num);
}

References i, num, and randombytes().

Here is the call graph for this function:

random_wombats()

void random_wombats	(	uint8_t *	key,
		const long long	numkeys,
		const long long	batch_start,
		const long long	batch_stop,
		const long long	batch_sumykeys )

Definition at line 15 of file random.c.

{
    int32_t batch_len = batch_stop - batch_start;
    int32_t r[4 * batch_len];
    uint8_t ells[numkeys];
    for (;;)
    { /* rejection-sampling loop */
        randombytes(r, 4 * batch_len);
        for (long long j = 0; j < batch_len; ++j)
            r[j] &= ~1;
        for (long long j = 0; j < numkeys; ++j)
            r[j] |= 1;
        int32_sort(r, batch_len);
 
        long long collision = 0;
        for (long long j = 1; j < numkeys; ++j)
            collision |= int32mask_zero((r[j] ^ r[j - 1]) & ~1);
 
#ifdef ENABLE_CT_TESTING
        VALGRIND_MAKE_MEM_DEFINED(&collision, sizeof(collision));
#endif
        if (collision)
            continue;
 
        for (int32_t j = 0; j < numkeys; ++j)
            ells[j] = 0;
 
        for (int32_t j = 0; j < batch_len; ++j)
            r[j] &= 1;
 
        for (int32_t i = 0; i < numkeys; ++i)
        {
            for (int32_t j = i; j < batch_len; ++j)
            {
                // r[j] &= 1;
                int32_t updatemask = int32mask_zero(ells[i]) & int32mask_nonzero(r[j]);
                r[j] ^= (1 & updatemask);
                ells[i] |= (updatemask & (j + 1));
            }
        }
 
        for (int32_t i = 0; i < numkeys; ++i)
            key[batch_sumykeys + i] = batch_start + ells[i] - 1;
 
        return;
    }
}

References batch_start, batch_stop, i, int32_sort, j, and randombytes().

Here is the call graph for this function: