/*
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 ********************************************************************************
 *   Content : Eigen bindings to LAPACKe
 *     LU decomposition with partial pivoting based on LAPACKE_?getrf function.
 ********************************************************************************
*/

#ifndef EIGEN_PARTIALLU_LAPACK_H
#define EIGEN_PARTIALLU_LAPACK_H

// IWYU pragma: private
#include "./InternalHeaderCheck.h"

namespace Eigen {

namespace internal {

namespace lapacke_helpers {
// -------------------------------------------------------------------------------------------------------------------
//        Generic lapacke partial lu implementation that converts arguments and dispatches to the function above
// -------------------------------------------------------------------------------------------------------------------

template <typename Scalar, int StorageOrder>
struct lapacke_partial_lu {
  /** \internal performs the LU decomposition in-place of the matrix represented */
  static lapack_int blocked_lu(Index rows, Index cols, Scalar* lu_data, Index luStride, lapack_int* row_transpositions,
                               lapack_int& nb_transpositions, lapack_int maxBlockSize = 256) {
    EIGEN_UNUSED_VARIABLE(maxBlockSize);
    // Set up parameters for getrf
    lapack_int matrix_order = StorageOrder == RowMajor ? LAPACK_ROW_MAJOR : LAPACK_COL_MAJOR;
    lapack_int lda = to_lapack(luStride);
    Scalar* a = lu_data;
    lapack_int* ipiv = row_transpositions;
    lapack_int m = to_lapack(rows);
    lapack_int n = to_lapack(cols);
    nb_transpositions = 0;

    lapack_int info = getrf(matrix_order, m, n, to_lapack(a), lda, ipiv);
    eigen_assert(info >= 0);

    for (int i = 0; i < m; i++) {
      ipiv[i]--;
      if (ipiv[i] != i) nb_transpositions++;
    }
    lapack_int first_zero_pivot = info;
    return first_zero_pivot;
  }
};
}  // end namespace lapacke_helpers

/*
 * Here, we just put the generic implementation from lapacke_partial_lu into a partial specialization of the
 * partial_lu_impl type. This specialization is more specialized than the generic implementations that Eigen implements,
 * so if the Scalar type matches they will be chosen.
 */
#define EIGEN_LAPACKE_PARTIAL_LU(EIGTYPE)                            \
  template <int StorageOrder>                                        \
  struct partial_lu_impl<EIGTYPE, StorageOrder, lapack_int, Dynamic> \
      : public lapacke_helpers::lapacke_partial_lu<EIGTYPE, StorageOrder> {};

EIGEN_LAPACKE_PARTIAL_LU(double)
EIGEN_LAPACKE_PARTIAL_LU(float)
EIGEN_LAPACKE_PARTIAL_LU(std::complex<double>)
EIGEN_LAPACKE_PARTIAL_LU(std::complex<float>)

#undef EIGEN_LAPACKE_PARTIAL_LU

}  // end namespace internal

}  // end namespace Eigen

#endif  // EIGEN_PARTIALLU_LAPACK_H