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#ifndef KOKKOS_TEST_DUALVIEW_HPP
#define KOKKOS_TEST_DUALVIEW_HPP

#include <gtest/gtest.h>
#include <iostream>
#include <cstdlib>
#include <cstdio>
#include <impl/Kokkos_Timer.hpp>
#include <Kokkos_DualView.hpp>

namespace Test {

namespace Impl {

  template <typename Scalar, class Device>
  struct test_dualview_combinations
  {
    typedef test_dualview_combinations<Scalar,Device> self_type;

    typedef Scalar scalar_type;
    typedef Device execution_space;

    Scalar reference;
    Scalar result;

    template <typename ViewType>
    Scalar run_me(unsigned int n,unsigned int m){
      if(n<10) n = 10;
      if(m<3) m = 3;
      ViewType a("A",n,m);

      Kokkos::deep_copy( a.d_view , 1 );

      a.template modify<typename ViewType::execution_space>();
      a.template sync<typename ViewType::host_mirror_space>();

      a.h_view(5,1) = 3;
      a.h_view(6,1) = 4;
      a.h_view(7,2) = 5;
      a.template modify<typename ViewType::host_mirror_space>();
      ViewType b = Kokkos::subview(a,std::pair<unsigned int, unsigned int>(6,9),std::pair<unsigned int, unsigned int>(0,1));
      a.template sync<typename ViewType::execution_space>();
      b.template modify<typename ViewType::execution_space>();

      Kokkos::deep_copy( b.d_view , 2 );

      a.template sync<typename ViewType::host_mirror_space>();
      Scalar count = 0;
      for(unsigned int i = 0; i<a.d_view.extent(0); i++)
        for(unsigned int j = 0; j<a.d_view.extent(1); j++)
          count += a.h_view(i,j);
      return count -  a.d_view.extent(0)*a.d_view.extent(1)-2-4-3*2;
    }


    test_dualview_combinations(unsigned int size)
    {
      result = run_me< Kokkos::DualView<Scalar**,Kokkos::LayoutLeft,Device> >(size,3);
    }

  };

  template < typename Scalar, class ViewType >
  struct SumViewEntriesFunctor {

    typedef Scalar value_type;

    ViewType fv;

    SumViewEntriesFunctor ( const ViewType & fv_ ) : fv(fv_) {}

    KOKKOS_INLINE_FUNCTION
    void operator() ( const int i , value_type & total ) const {
      for ( size_t j = 0; j < fv.extent(1); ++j ) {
        total += fv(i,j);
      }
    }

  };
  

  template <typename Scalar, class Device>
  struct test_dual_view_deep_copy
  {
    typedef Scalar scalar_type;
    typedef Device execution_space;

    template <typename ViewType>
    void run_me() {

      const unsigned int n = 10;
      const unsigned int m = 5;
      const unsigned int sum_total = n * m;

      ViewType a("A",n,m);
      ViewType b("B",n,m);

      Kokkos::deep_copy( a.d_view , 1 );

      a.template modify<typename ViewType::execution_space>();
      a.template sync<typename ViewType::host_mirror_space>();

      // Check device view is initialized as expected
      scalar_type a_d_sum = 0;
      // Execute on the execution_space associated with t_dev's memory space
      typedef typename ViewType::t_dev::memory_space::execution_space t_dev_exec_space;
      Kokkos::parallel_reduce( Kokkos::RangePolicy<t_dev_exec_space>(0,n), SumViewEntriesFunctor<scalar_type, typename ViewType::t_dev>(a.d_view), a_d_sum );
      ASSERT_EQ(a_d_sum, sum_total);

      // Check host view is synced as expected
      scalar_type a_h_sum = 0;
      for ( size_t i = 0; i < a.h_view.extent(0); ++i )
        for ( size_t j = 0; j < a.h_view.extent(1); ++j ) {
          a_h_sum += a.h_view(i,j);
        }

      ASSERT_EQ(a_h_sum, sum_total);


      // Test deep_copy
      Kokkos::deep_copy( b, a );
      b.template sync<typename ViewType::host_mirror_space>();

      // Perform same checks on b as done on a
      // Check device view is initialized as expected
      scalar_type b_d_sum = 0;
      // Execute on the execution_space associated with t_dev's memory space
      Kokkos::parallel_reduce( Kokkos::RangePolicy<t_dev_exec_space>(0,n), SumViewEntriesFunctor<scalar_type, typename ViewType::t_dev>(b.d_view), b_d_sum );
      ASSERT_EQ(b_d_sum, sum_total);

      // Check host view is synced as expected
      scalar_type b_h_sum = 0;
      for ( size_t i = 0; i < b.h_view.extent(0); ++i )
        for ( size_t j = 0; j < b.h_view.extent(1); ++j ) {
          b_h_sum += b.h_view(i,j);
        }

      ASSERT_EQ(b_h_sum, sum_total);

    } // end run_me

    test_dual_view_deep_copy()
    {
      run_me< Kokkos::DualView<Scalar**,Kokkos::LayoutLeft,Device> >();
    }

  };

} // namespace Impl



template <typename Scalar, typename Device>
void test_dualview_combinations(unsigned int size)
{
  Impl::test_dualview_combinations<Scalar,Device> test(size);
  ASSERT_EQ( test.result,0);

}

template <typename Scalar, typename Device>
void test_dualview_deep_copy()
{
  Impl::test_dual_view_deep_copy<Scalar,Device> ();
}

TEST_F( TEST_CATEGORY, dualview_combination) {
    test_dualview_combinations<int,TEST_EXECSPACE>(10);
}

TEST_F( TEST_CATEGORY, dualview_deep_copy) {
    test_dualview_deep_copy<int,TEST_EXECSPACE>();
    test_dualview_deep_copy<double,TEST_EXECSPACE>();
}


} // namespace Test

#endif //KOKKOS_TEST_UNORDERED_MAP_HPP