void mexFunction(int nlhs, mxArray *plhs[], /* Output variables */
int nrhs, const mxArray *prhs[]) /* Input variables */
{
#define ccr(ai,bi) (ccr[ai+Nss[0]*bi])
#define cci(ai,bi) (cci[ai+Nss[0]*bi])
#define kk1(ai,bi) (kk1[ai+Nss[0]*bi])
#define kk2(ai,bi) (kk2[ai+Nss[0]*bi])
#define kb(loc1,loc2,ai,bi) kb[loc1+NB1*(loc2+NB2*(ai+Nss[0]*bi))]
#define avgdx(loc1,loc2,ai,bi) avgdx[loc1+NB1*(loc2+NB2*(ai+Nss[0]*bi))]
#define avgdy(loc1,loc2,ai,bi) avgdy[loc1+NB1*(loc2+NB2*(ai+Nss[0]*bi))]
size_t ai, bi;
int NB1, NB2, loc1, loc2, di = 0;
double *kk1, *kk2, *ccr, *cci, *kb, *avgdx, *avgdy;
double EXT, num_dir, da, dr, r, agl, R_low;
double temp_energy;
ccr = mxGetPr(prhs[0]);
cci = mxGetPi(prhs[0]);
kk1 = mxGetPr(prhs[1]);
kk2 = mxGetPr(prhs[2]);
EXT = mxGetScalar(prhs[3]);
num_dir = mxGetScalar(prhs[4]);
da = mxGetScalar(prhs[5]);
dr = mxGetScalar(prhs[6]);
NB1 = mxGetScalar(prhs[7]);
NB2 = mxGetScalar(prhs[8]);
R_low = mxGetScalar(prhs[9]);
const mwSize *Nss = mxGetDimensions(prhs[0]);
kb = mxGetPr(prhs[10]);
avgdx = mxGetPr(prhs[11]);
avgdy = mxGetPr(prhs[12]);
nrhs = 13;
nlhs = 0;
for (ai=0;ai<Nss[0];ai++) {
for (bi=0;bi<Nss[1];bi++) {
if (kk1(ai,bi)<EXT) {
r = sqrt(kk1(ai,bi)*kk1(ai,bi)+kk2(ai,bi)*kk2(ai,bi));
if (kk1(ai,bi)>=0) {
agl = fmod(acos(kk2(ai,bi)/r),num_dir);
}
else
agl = fmod(3.1415926-acos(kk2(ai,bi)/r),num_dir);
loc1 = round((r-R_low)/dr);
loc2 = round(agl/da);
temp_energy = ccr(ai,bi)*ccr(ai,bi) + cci(ai,bi)*cci(ai,bi);
kb(loc1,loc2,ai,bi) = kb(loc1,loc2,ai,bi) + temp_energy;
avgdx(loc1,loc2,ai,bi) = avgdx(loc1,loc2,ai,bi) + r * cos(agl) * temp_energy;
avgdy(loc1,loc2,ai,bi) = avgdy(loc1,loc2,ai,bi) + r * sin(agl) * temp_energy;
/* cannot use kk since those are symmetric */
}
}
}
return;
}
void DrrnPsiClient::recv(Channel s0, Channel s1, span<block> inputs)
{
if (inputs.size() != mClientSetSize)
throw std::runtime_error(LOCATION);
Matrix<u64> bins(mNumSimpleBins, mBinSize);
std::vector<u64> binSizes(mNumSimpleBins);
u64 cuckooSlotsPerBin = (mCuckooParams.numBins() + mNumSimpleBins) / mNumSimpleBins;
// Simple hashing with a PRP
std::vector<block> hashs(inputs.size());
AES hasher(mHashingSeed);
u64 numCuckooBins = mCuckooParams.numBins();
for (u64 i = 0; i < u64(inputs.size());)
{
auto min = std::min<u64>(inputs.size() - i, 8);
auto end = i + min;
hasher.ecbEncBlocks(inputs.data() + i, min, hashs.data() + i);
for (; i < end; ++i)
{
hashs[i] = hashs[i] ^ inputs[i];
for (u64 j = 0; j < mCuckooParams.mNumHashes; ++j)
{
u64 idx = CuckooIndex<>::getHash(hashs[i], j, numCuckooBins) * mNumSimpleBins / mCuckooParams.numBins();
// insert this item in this bin. pack together the hash index and input index
bins(idx, binSizes[idx]++) = (j << 56) | i;
}
//if (!i)
//{
// ostreamLock(std::cout) << "cinput[" << i << "] = " << inputs[i] << " -> " << hashs[i] << " ("
// << CuckooIndex<>::getHash(hashs[i], 0, numCuckooBins) << ", "
// << CuckooIndex<>::getHash(hashs[i], 1, numCuckooBins) << ", "
// << CuckooIndex<>::getHash(hashs[i], 2, numCuckooBins) << ")"
// << std::endl;
//}
}
}
// power of 2
u64 numLeafBlocks = (cuckooSlotsPerBin + mBigBlockSize * 128 - 1) / (mBigBlockSize * 128);
u64 gDepth = 2;
u64 kDepth = std::max<u64>(gDepth, log2floor(numLeafBlocks)) - gDepth;
u64 groupSize = (numLeafBlocks + (u64(1) << kDepth) - 1) / (u64(1) << kDepth);
if (groupSize > 8) throw std::runtime_error(LOCATION);
//std::cout << "kDepth: " << kDepth << std::endl;
//std::cout << "mBinSize: " << mBinSize << std::endl;
u64 numQueries = mNumSimpleBins * mBinSize;
auto permSize = numQueries * mBigBlockSize;
// mask generation
block rSeed = CCBlock;// mPrng.get<block>();
AES rGen(rSeed);
std::vector<block> shares(mClientSetSize * mCuckooParams.mNumHashes), r(permSize), piS1(permSize), s(permSize);
//std::vector<u32> rIdxs(numQueries);
//std::vector<u64> sharesIdx(shares.size());
//TODO("use real masks");
//memset(r.data(), 0, r.size() * sizeof(block));
rGen.ecbEncCounterMode(r.size() * 0, r.size(), r.data());
rGen.ecbEncCounterMode(r.size() * 1, r.size(), piS1.data());
rGen.ecbEncCounterMode(r.size() * 2, r.size(), s.data());
//auto encIter = enc.begin();
auto shareIter = shares.begin();
//auto shareIdxIter = sharesIdx.begin();
u64 queryIdx = 0, dummyPermIdx = mClientSetSize * mCuckooParams.mNumHashes;
std::unordered_map<u64, u64> inputMap;
inputMap.reserve(mClientSetSize * mCuckooParams.mNumHashes);
std::vector<u32> pi(permSize);
auto piIter = pi.begin();
u64 keySize = kDepth + 1 + groupSize;
u64 mask = (u64(1) << 56) - 1;
auto binIter = bins.begin();
for (u64 bIdx = 0; bIdx < mNumSimpleBins; ++bIdx)
{
u64 i = 0;
auto binOffset = (bIdx * numCuckooBins + mNumSimpleBins - 1) / mNumSimpleBins;
std::vector<block> k0(keySize * mBinSize), k1(keySize * mBinSize);
//std::vector<u64> idx0(mBinSize), idx1(mBinSize);
auto k0Iter = k0.data(), k1Iter = k1.data();
//auto idx0Iter = idx0.data(), idx1Iter = idx1.data();
for (; i < binSizes[bIdx]; ++i)
{
span<block>
kk0(k0Iter, kDepth + 1),
g0(k0Iter + kDepth + 1, groupSize),
kk1(k1Iter, kDepth + 1),
g1(k1Iter + kDepth + 1, groupSize);
k0Iter += keySize;
k1Iter += keySize;
u8 hashIdx = *binIter >> 56;
u64 itemIdx = *binIter & mask;
u64 cuckooIdx = CuckooIndex<>::getHash(hashs[itemIdx], hashIdx, numCuckooBins) - binOffset;
++binIter;
auto bigBlockoffset = cuckooIdx % mBigBlockSize;
auto bigBlockIdx = cuckooIdx / mBigBlockSize;
BgiPirClient::keyGen(bigBlockIdx, mPrng.get<block>(), kk0, g0, kk1, g1);
// the index of the mask that will mask this item
auto rIdx = *piIter = itemIdx * mCuckooParams.mNumHashes + hashIdx * mBigBlockSize + bigBlockoffset;
// the masked value that will be inputted into the PSI
*shareIter = r[rIdx] ^ inputs[itemIdx];
//*shareIter = inputs[itemIdx];
//if (itemIdx == 0)
// ostreamLock(std::cout)
// << "item[" << i << "] bin " << bIdx
// << " block " << bigBlockIdx
// << " offset " << bigBlockoffset
// << " psi " << *shareIter << std::endl;
// This will be used to map itemed items in the intersection back to their input item
inputMap.insert({ queryIdx, itemIdx });
++shareIter;
++piIter;
++queryIdx;
}
u64 rem = mBinSize - i;
binIter += rem;
for (u64 i = 0; i < rem; ++i)
{
*piIter++ = dummyPermIdx++;
}
//s0.asyncSendCopy(k0);
//s0.asyncSendCopy(k1);
//s1.asyncSendCopy(k1);
//s1.asyncSendCopy(k0);
s0.asyncSend(std::move(k0));
s1.asyncSend(std::move(k1));
}
std::vector<u32> pi1(permSize), pi0(permSize), pi1Inv(permSize);
for (u32 i = 0; i < pi1.size(); ++i) pi1[i] = i;
PRNG prng(rSeed ^ OneBlock);
std::random_shuffle(pi1.begin(), pi1.end(), prng);
//std::vector<block> pi1RS(pi.size());
for (u64 i = 0; i < permSize; ++i)
{
//auto pi1i = pi1[i];
//pi1RS[i] = r[pi1i] ^ s[pi1i];
pi1Inv[pi1[i]] = i;
//std::cout << "pi1(r + s)[" << i << "] " << pi1RS[i] << std::endl;
}
std::vector<block> piS0(r.size());
for (u64 i = 0; i < permSize; ++i)
{
//std::cout << "r[" << i << "] " << r[i] << std::endl;
//std::cout << "pi(r + s)[" << i << "]=" << (r[pi[i]] ^ s[pi[i]]) << std::endl;
pi0[i] = pi1Inv[pi[i]];
piS0[i] = piS1[i] ^ s[pi[i]];
//std::cout << "pi (r + s)[" << i << "] = " << (r[pi[i]] ^ s[pi[i]]) << " = " << r[pi[i]] << " ^ " << s[pi[i]] << " c " << pi[i] << std::endl;
//std::cout << "pi`(r + s)[" << i << "] = " << pi1RS[pi0[i]] <<" c " << pi0[pi1[i]] << std::endl;
}
s0.asyncSend(std::move(pi0));
s0.asyncSend(std::move(piS0));
//rGen.ecbEncBlocks(r.data(), r.size(), r.data());
//for (u64 i = 0; i < shares.size(); ++i)
//{
// std::cout << IoStream::lock << "cshares[" << i << "] " << shares[i] << " input[" << sharesIdx[i]<<"]" << std::endl << IoStream::unlock;
//}
mPsi.sendInput(shares, s0);
mIntersection.reserve(mPsi.mIntersection.size());
for (u64 i = 0; i < mPsi.mIntersection.size(); ++i) {
// divide index by #hashes
mIntersection.emplace(inputMap[mPsi.mIntersection[i]]);
}
}
