csr_extract_v.hpp

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#ifndef STAN_MATH_PRIM_FUN_CSR_EXTRACT_V_HPP
#define STAN_MATH_PRIM_FUN_CSR_EXTRACT_V_HPP
 
#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/prim/fun/to_ref.hpp>
#include <vector>
#include <numeric>
 
namespace stan {
namespace math {
 
template <typename T>
const std::vector<int> csr_extract_v(
    const Eigen::SparseMatrix<T, Eigen::RowMajor>& A) {
  std::vector<int> v(A.nonZeros());
  for (int nze = 0; nze < A.nonZeros(); ++nze) {
    v[nze] = *(A.innerIndexPtr() + nze) + stan::error_index::value;
  }
  return v;
}
 
template <typename T, require_eigen_dense_base_t<T>* = nullptr>
const std::vector<int> csr_extract_v(const T& A) {
  // conversion to sparse seems to touch data twice, so we need to call to_ref
  Eigen::SparseMatrix<scalar_type_t<T>, Eigen::RowMajor> B
      = to_ref(A).sparseView();
  std::vector<int> v = csr_extract_v(B);
  return v;
}
  // end of csr_format group
 
}  // namespace math
}  // namespace stan
 
#endif