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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.
//
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// 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.
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// 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
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// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
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#ifndef __TSQR_Test_nodeTestProblem_hpp
#define __TSQR_Test_nodeTestProblem_hpp

#include <Tsqr_Random_MatrixGenerator.hpp>
#include <Teuchos_ScalarTraits.hpp>
#include <algorithm>
#include <vector>


namespace TSQR {
  namespace Test {

    /// Fill in the nrows by ncols matrix A (with leading dimension
    /// lda) with a test problem for single-node TSQR.
    template< class Ordinal, class Scalar, class Generator >
    void
    nodeTestProblem (Generator& generator,
                     const Ordinal nrows,
                     const Ordinal ncols,
                     Scalar A[],
                     const Ordinal lda,
                     const bool numerically_interesting)
    {
      typedef TSQR::Random::MatrixGenerator<Ordinal, Scalar, Generator> matgen_type;
      typedef typename Teuchos::ScalarTraits<Scalar>::magnitudeType magnitude_type;

      matgen_type matGen (generator);

      if (numerically_interesting) {
        std::vector<magnitude_type> singular_values (std::min (nrows, ncols));
        singular_values[0] = magnitude_type (1);
        for (Ordinal k = 1; k < std::min(nrows, ncols); ++k) {
          singular_values[k] = singular_values[k-1] / magnitude_type(2);
        }
        matGen.fill_random_svd (nrows, ncols, A, lda, &singular_values[0]);
      }
      else {
        matGen.fill_random (nrows, ncols, A, lda);
      }
    }

  } // namespace Test
} // namespace TSQR

#endif // __TSQR_Test_nodeTestProblem_hpp