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bug #877, bug #572: Introduce a global Index typedef. Rename Sparse*::Index to StorageIndex, make Dense*::StorageIndex an alias to DenseIndex. Overall this commit gets rid of all Index conversion warnings.

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This commit is contained in:
Christoph Hertzberg
2014-12-04 22:48:53 +01:00
parent 6ccf97f3e6
commit e8cdbedefb
95 changed files with 1101 additions and 1111 deletions
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98
test/sparse_basic.cpp
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@@ -13,11 +13,11 @@
template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& ref)
{
typedef typename SparseMatrixType::Index Index;
typedef Matrix<Index,2,1> Vector2;
typedef typename SparseMatrixType::StorageIndex StorageIndex;
typedef Matrix<StorageIndex,2,1> Vector2;
const Index rows = ref.rows();
const Index cols = ref.cols();
const StorageIndex rows = ref.rows();
const StorageIndex cols = ref.cols();
const Index inner = ref.innerSize();
const Index outer = ref.outerSize();
@@ -56,27 +56,27 @@ template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& re
VERIFY_IS_APPROX(m, refMat);
// test InnerIterators and Block expressions
for (int t=0; t<10; ++t)
for (Index t=0; t<10; ++t)
{
int j = internal::random<int>(0,cols-1);
int i = internal::random<int>(0,rows-1);
int w = internal::random<int>(1,cols-j-1);
int h = internal::random<int>(1,rows-i-1);
Index j = internal::random<Index>(0,cols-1);
Index i = internal::random<Index>(0,rows-1);
Index w = internal::random<Index>(1,cols-j-1);
Index h = internal::random<Index>(1,rows-i-1);
VERIFY_IS_APPROX(m.block(i,j,h,w), refMat.block(i,j,h,w));
for(int c=0; c<w; c++)
for(Index c=0; c<w; c++)
{
VERIFY_IS_APPROX(m.block(i,j,h,w).col(c), refMat.block(i,j,h,w).col(c));
for(int r=0; r<h; r++)
for(Index r=0; r<h; r++)
{
// FIXME col().coeff() not implemented yet
// VERIFY_IS_APPROX(m.block(i,j,h,w).col(c).coeff(r), refMat.block(i,j,h,w).col(c).coeff(r));
}
}
for(int r=0; r<h; r++)
for(Index r=0; r<h; r++)
{
VERIFY_IS_APPROX(m.block(i,j,h,w).row(r), refMat.block(i,j,h,w).row(r));
for(int c=0; c<w; c++)
for(Index c=0; c<w; c++)
{
// FIXME row().coeff() not implemented yet
// VERIFY_IS_APPROX(m.block(i,j,h,w).row(r).coeff(c), refMat.block(i,j,h,w).row(r).coeff(c));
@@ -84,13 +84,13 @@ template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& re
}
}
for(int c=0; c<cols; c++)
for(Index c=0; c<cols; c++)
{
VERIFY_IS_APPROX(m.col(c) + m.col(c), (m + m).col(c));
VERIFY_IS_APPROX(m.col(c) + m.col(c), refMat.col(c) + refMat.col(c));
}
for(int r=0; r<rows; r++)
for(Index r=0; r<rows; r++)
{
VERIFY_IS_APPROX(m.row(r) + m.row(r), (m + m).row(r));
VERIFY_IS_APPROX(m.row(r) + m.row(r), refMat.row(r) + refMat.row(r));
@@ -153,7 +153,7 @@ template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& re
SparseMatrixType m2(rows,cols);
VectorXi r(VectorXi::Constant(m2.outerSize(), ((mode%2)==0) ? int(m2.innerSize()) : std::max<int>(1,int(m2.innerSize())/8)));
m2.reserve(r);
for (int k=0; k<rows*cols; ++k)
for (Index k=0; k<rows*cols; ++k)
{
Index i = internal::random<Index>(0,rows-1);
Index j = internal::random<Index>(0,cols-1);
@@ -390,7 +390,7 @@ template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& re
// test setFromTriplets
{
typedef Triplet<Scalar,Index> TripletType;
typedef Triplet<Scalar,StorageIndex> TripletType;
std::vector<TripletType> triplets;
Index ntriplets = rows*cols;
triplets.reserve(ntriplets);
@@ -398,8 +398,8 @@ template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& re
refMat.setZero();
for(Index i=0;i<ntriplets;++i)
{
Index r = internal::random<Index>(0,rows-1);
Index c = internal::random<Index>(0,cols-1);
StorageIndex r = internal::random<StorageIndex>(0,rows-1);
StorageIndex c = internal::random<StorageIndex>(0,cols-1);
Scalar v = internal::random<Scalar>();
triplets.push_back(TripletType(r,c,v));
refMat(r,c) += v;
@@ -482,17 +482,17 @@ template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& re
// test conservative resize
{
std::vector< std::pair<Index,Index> > inc;
std::vector< std::pair<StorageIndex,StorageIndex> > inc;
if(rows > 3 && cols > 2)
inc.push_back(std::pair<Index,Index>(-3,-2));
inc.push_back(std::pair<Index,Index>(0,0));
inc.push_back(std::pair<Index,Index>(3,2));
inc.push_back(std::pair<Index,Index>(3,0));
inc.push_back(std::pair<Index,Index>(0,3));
inc.push_back(std::pair<StorageIndex,StorageIndex>(-3,-2));
inc.push_back(std::pair<StorageIndex,StorageIndex>(0,0));
inc.push_back(std::pair<StorageIndex,StorageIndex>(3,2));
inc.push_back(std::pair<StorageIndex,StorageIndex>(3,0));
inc.push_back(std::pair<StorageIndex,StorageIndex>(0,3));
for(size_t i = 0; i< inc.size(); i++) {
Index incRows = inc[i].first;
Index incCols = inc[i].second;
StorageIndex incRows = inc[i].first;
StorageIndex incCols = inc[i].second;
SparseMatrixType m1(rows, cols);
DenseMatrix refMat1 = DenseMatrix::Zero(rows, cols);
initSparse<Scalar>(density, refMat1, m1);
@@ -527,28 +527,28 @@ template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& re
template<typename SparseMatrixType>
void big_sparse_triplet(typename SparseMatrixType::Index rows, typename SparseMatrixType::Index cols, double density) {
typedef typename SparseMatrixType::Index Index;
typedef typename SparseMatrixType::Scalar Scalar;
typedef Triplet<Scalar,Index> TripletType;
std::vector<TripletType> triplets;
double nelements = density * rows*cols;
VERIFY(nelements>=0 && nelements < NumTraits<Index>::highest());
Index ntriplets = Index(nelements);
triplets.reserve(ntriplets);
Scalar sum = Scalar(0);
for(Index i=0;i<ntriplets;++i)
{
Index r = internal::random<Index>(0,rows-1);
Index c = internal::random<Index>(0,cols-1);
Scalar v = internal::random<Scalar>();
triplets.push_back(TripletType(r,c,v));
sum += v;
}
SparseMatrixType m(rows,cols);
m.setFromTriplets(triplets.begin(), triplets.end());
VERIFY(m.nonZeros() <= ntriplets);
VERIFY_IS_APPROX(sum, m.sum());
void big_sparse_triplet(Index rows, Index cols, double density) {
typedef typename SparseMatrixType::StorageIndex StorageIndex;
typedef typename SparseMatrixType::Scalar Scalar;
typedef Triplet<Scalar,Index> TripletType;
std::vector<TripletType> triplets;
double nelements = density * rows*cols;
VERIFY(nelements>=0 && nelements < NumTraits<StorageIndex>::highest());
Index ntriplets = Index(nelements);
triplets.reserve(ntriplets);
Scalar sum = Scalar(0);
for(Index i=0;i<ntriplets;++i)
{
Index r = internal::random<Index>(0,rows-1);
Index c = internal::random<Index>(0,cols-1);
Scalar v = internal::random<Scalar>();
triplets.push_back(TripletType(r,c,v));
sum += v;
}
SparseMatrixType m(rows,cols);
m.setFromTriplets(triplets.begin(), triplets.end());
VERIFY(m.nonZeros() <= ntriplets);
VERIFY_IS_APPROX(sum, m.sum());
}