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//@HEADER
// ************************************************************************
//
//          Kokkos: Node API and Parallel Node Kernels
//              Copyright (2008) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact Michael A. Heroux (maherou@sandia.gov)
//
// ************************************************************************
//@HEADER

/// \file Tsqr_Util.hpp
/// \brief Utilities for TSQR (the Tall Skinny QR factorization)
///

#ifndef __TSQR_Tsqr_Util_hpp
#define __TSQR_Tsqr_Util_hpp

#include <Teuchos_ScalarTraits.hpp>

#ifdef HAVE_KOKKOSTSQR_COMPLEX
#  include <complex>
#endif // HAVE_KOKKOSTSQR_COMPLEX

#include <algorithm>
#include <ostream>


namespace TSQR {

  /// \class ScalarPrinter
  /// \brief Print a Scalar value to the given output stream
  ///
  /// \tparam Scalar The type of the value to print.
  /// \tparam isComplex Whether Scalar represents a complex number
  ///   type (such as std::complex<T>).
  ///
  /// C++ (before C++0x) doesn't let me do partial template
  /// specialization of functions.  Because of that, I can't use a
  /// template function; instead, I have to reify the function into a
  /// class ("function object").  This is typical Java style, where
  /// everything is a noun with a "run()" method; not my favorite, but
  /// it's the only way to do it.
  ///
  template<class Scalar, bool isComplex>
  class ScalarPrinter {
  public:
    ///
    /// Print elt to out
    void operator() (std::ostream& out, const Scalar& elt) const;
  };

  // Partial specialization for real Scalar
  template< class Scalar >
  class ScalarPrinter< Scalar, false > {
  public:
    void operator() (std::ostream& out, const Scalar& elt) const {
      out << elt;
    }
  };

  // Partial specialization for complex Scalar
  template< class Scalar >
  class ScalarPrinter< Scalar, true > {
  public:
    void operator() (std::ostream& out, const Scalar& elt) const {
      typedef Teuchos::ScalarTraits<Scalar> STS;
      typedef typename STS::magnitudeType magnitude_type;
      typedef Teuchos::ScalarTraits<magnitude_type> STM;

      const magnitude_type ZERO (0);
      const magnitude_type& realPart = std::real (elt);
      const magnitude_type& imagPart = std::imag (elt);

      out << realPart;
      if (imagPart < ZERO) {
        out << "-" << STM::magnitude (imagPart) << "*i";
      } else if (imagPart > ZERO) {
        out << "+" << imagPart << "*i";
      }
    }
  };

  template< class LocalOrdinal, class Scalar >
  void
  print_local_matrix (std::ostream& out,
                      const LocalOrdinal nrows_local,
                      const LocalOrdinal ncols,
                      const Scalar A[],
                      const LocalOrdinal lda)
  {
    typedef Teuchos::ScalarTraits<Scalar> STS;
    ScalarPrinter<Scalar, STS::isComplex> printer;
    for (LocalOrdinal i = 0; i < nrows_local; ++i) {
      for (LocalOrdinal j = 0; j < ncols; ++j) {
        const Scalar& curElt = A[i + j*lda];
        printer (out, curElt);
        if (j < ncols - 1) {
          out << ", ";
        }
      }
      out << ";" << std::endl;
    }
  }

  template< class Ordinal, class Scalar >
  void
  copy_matrix (const Ordinal nrows,
               const Ordinal ncols,
               Scalar* const A,
               const Ordinal lda,
               const Scalar* const B,
               const Ordinal ldb)
  {
    for (Ordinal j = 0; j < ncols; ++j) {
      Scalar* const A_j = &A[j*lda];
      const Scalar* const B_j = &B[j*ldb];
      std::copy (B_j, B_j + nrows, A_j);
    }
  }

  template< class Ordinal, class Scalar >
  void
  fill_matrix (const Ordinal nrows,
               const Ordinal ncols,
               Scalar* const A,
               const Ordinal lda,
               const Scalar& default_val)
  {
    for (Ordinal j = 0; j < ncols; ++j) {
      Scalar* const A_j = &A[j*lda];
      std::fill (A_j, A_j + nrows, default_val);
    }
  }


  template< class Ordinal, class Scalar, class Generator >
  void
  generate_matrix (const Ordinal nrows,
                   const Ordinal ncols,
                   Scalar* const A,
                   const Ordinal lda,
                   Generator gen)
  {
    for (Ordinal j = 0; j < ncols; ++j) {
      Scalar* const A_j = &A[j*lda];
      std::generate (A_j, A_j + nrows, gen);
    }
  }

  template< class Ordinal, class Scalar >
  void
  copy_upper_triangle (const Ordinal nrows,
                       const Ordinal ncols,
                       Scalar* const R_out,
                       const Ordinal ldr_out,
                       const Scalar* const R_in,
                       const Ordinal ldr_in)
  {
    if (nrows >= ncols) {
      for (Ordinal j = 0; j < ncols; ++j) {
        Scalar* const A_j = &R_out[j*ldr_out];
        const Scalar* const B_j = &R_in[j*ldr_in];
        for (Ordinal i = 0; i <= j; ++i) {
          A_j[i] = B_j[i];
        }
      }
    }
    else {
      copy_upper_triangle (nrows, nrows, R_out, ldr_out, R_in, ldr_in);
      for (Ordinal j = nrows; j < ncols; j++) {
        Scalar* const A_j = &R_out[j*ldr_out];
        const Scalar* const B_j = &R_in[j*ldr_in];
        for (Ordinal i = 0; i < nrows; i++)
          A_j[i] = B_j[i];
      }
    }
  }


  template< class Scalar >
  class SumSquare {
  public:
    Scalar operator() (const Scalar& result, const Scalar& x) const {
      return result + x*x;
    }
  };

#ifdef HAVE_KOKKOSTSQR_COMPLEX
  // Specialization for complex numbers
  template<class Scalar>
  class SumSquare<std::complex<Scalar> >  {
  public:
    Scalar operator() (const std::complex<Scalar>& result,
                       const std::complex<Scalar>& x) const {
      const Scalar absval = std::norm (x);
      return result + absval * absval;
    }
  };
#endif // HAVE_KOKKOSTSQR_COMPLEX

  template<class Ordinal, class Scalar>
  void
  pack_R_factor (const Ordinal nrows,
                 const Ordinal ncols,
                 const Scalar R_in[],
                 const Ordinal ldr_in,
                 Scalar buffer[])
  {
    Ordinal count = 0; // current position in output buffer
    if (nrows >= ncols) {
      for (Ordinal j = 0; j < ncols; ++j) {
        for (Ordinal i = 0; i <= j; ++i) {
          buffer[count++] = R_in[i + j*ldr_in];
        }
      }
    }
    else {
      for (Ordinal j = 0; j < nrows; ++j) {
        for (Ordinal i = 0; i <= j; ++i) {
          buffer[count++] = R_in[i + j*ldr_in];
        }
      }
    }
  }

  template< class Ordinal, class Scalar >
  void
  unpack_R_factor (const Ordinal nrows,
                   const Ordinal ncols,
                   Scalar R_out[],
                   const Ordinal ldr_out,
                   const Scalar buffer[])
  {
    Ordinal count = 0; // current position in input buffer
    if (nrows >= ncols) {
      for (Ordinal j = 0; j < ncols; ++j) {
        for (Ordinal i = 0; i <= j; ++i) {
          R_out[i + j*ldr_out] = buffer[count++];
        }
      }
    }
    else {
      for (Ordinal j = 0; j < nrows; ++j) {
        for (Ordinal i = 0; i <= j; ++i) {
          R_out[i + j*ldr_out] = buffer[count++];
        }
      }
    }
  }

} // namespace TSQR

#endif // __TSQR_Tsqr_Util_hpp