CRSSparsity reshape(const CRSSparsity& a, int n, int m){
casadi_assert_message(a.numel() == n*m,
"reshape: number of elements must remain the same." << endl <<
"Input argument has shape " << a.size1() << " x " << a.size2() << " = " << a.numel() << ", while you request a reshape to " <<
n << " x " << m << " = " << n*m
);
// our strategy is: (col,rowind) -> (col,row) -> modulus calculus -> (col_new, row_new) -> sp_NZ
std::vector<int> row = a.getRow();
const std::vector<int> &col = a.col();
std::vector<int> row_new(a.size());
std::vector<int> col_new(a.size());
// int i=0;int j=0; int z =0;
for(int k=0; k<a.size(); ++k){
int i = row[k];
int j = col[k];
int z = j+i*a.size2();
row_new[k] = z/m;
col_new[k] = z%m;
}
return sp_triplet(n,m,row_new,col_new);
}
CRSSparsity vec(const CRSSparsity& a){
return reshape(trans(a),a.numel(),1);
}
