void MultisliceParameters::setBox(const Vector3R& minBox,
const Vector3R& maxBox,
Real deltaZ)
{
mMinBox = minBox;
mMaxBox = maxBox;
setSize(maxBox.x() - minBox.x(), maxBox.y() - minBox.y());
mDepth = maxBox.z() - minBox.z();
mDeltaZ = deltaZ;
if (mDeltaZ <= 0)
AURORA_THROW(EInvalidParameter, "deltaZ must be positive");
mMinBoxes.clear();
Real z = minBox.z();
const Real maxZ = maxBox.z();
mMinBoxes.push_back(Vector3R(minBox.x(), minBox.y(), z));
do
{
z += mDeltaZ;
mMinBoxes.push_back(Vector3R(minBox.x(), minBox.y(), z));
}
while (z < maxZ);
if (verbosity >= 2)
{
for (size_t i = 0; i < numSlices(); ++i)
{
std::cout << " slice " << i << " (z1 = " << zStart(i) << ", z2 = "
<< zEnd(i) << ")\n";
}
}
if (verbosity >= 1)
std::cout << "Number of Slices: " << numSlices() << std::endl;
}
// Get multiple layers of a Benes permutation network. Returns in out[i][j]
// the shift amount to move item j in the i'th layer. Also isID[i]=true if
// the i'th layer is the identity (i.e., contains only 0 shift amounts).
void ColPerm::getBenesShiftAmounts(Vec<Permut>& out, Vec<bool>& isID,
const Vec<long>& benesLvls) const
{
// Go over the columns one by one. For each column extract the columns
// permutation, prepare a Benes network for it, and then for every layer
// compute the shift amounts for this columns.
long n = getDim(dim); // the permutations are over [0,n-1]
// Allocate space
out.SetLength(benesLvls.length());
isID.SetLength(benesLvls.length());
for (long k=0; k<benesLvls.length(); k++) {
out[k].SetLength(getSize());
isID[k] = true;
}
Vec<long> col;
col.SetLength(n);
for (long slice_index = 0; slice_index < numSlices(dim); slice_index++) {
ConstCubeSlice<long> slice(*this, slice_index, dim);
for (long col_index = 0; col_index < slice.numCols(); col_index++) {
getHyperColumn(col, slice, col_index);
GeneralBenesNetwork net(col); // build a Benes network for this column
// Sanity checks: width of network == n,
// and sum of benesLvls entries == # of levels
assert(net.getSize()==n);
{long sum=0;
for (long k=0; k<benesLvls.length(); k++) sum+=benesLvls[k];
assert(net.getNumLevels()==sum);
}
// Compute the layers of the collapased network for this column
for (long lvl=0,k=0; k<benesLvls.length(); lvl += benesLvls[k], k++) {
// Returns in col the shift amounts for this layer in the network,
// restricted to this column. Also returns true if the returned
// permutation is the idendity, false otherwise.
bool id = collapseBenesLevels(col, net, lvl, benesLvls[k]);
isID[k] = isID[k] && id;
CubeSlice<long> oslice(out[k], getSig());
CubeSlice<long> osubslice(oslice, slice_index, dim);
setHyperColumn(col, osubslice, col_index);
} // next collapsed layer
} // next column
} // next slice
}
// ------------------------------------------------------------------------
bool DataContainer::linesAreLocked()
{
for(unsigned int i = 0; i < numImages(); i++)
{
for(unsigned int j = 0; j < numTimeSteps(i); j++)
{
for(unsigned int k = 0; k < numSlices(i,j); k++)
{
Line::Map &lines = data[i].images[j][k].lines;
Line::Map::iterator mapIt = lines.begin();
while(mapIt != lines.end())
{
if(!mapIt->second->isLocked())
return false;
++mapIt;
}
}
}
}
return true;
}
