Adding ArrayView example.

#include <iostream>

#include <list>

#include <vector>

#include <TNL/Containers/Array.h>

using namespace TNL;

using namespace std;

/***

 * The following works for any device (CPU, GPU ...).

 */

template< typename Device >

void arrayViewExample()

{

   const int size = 10;

   using ArrayType = Containers::Array< int, Device >;

   using IndexType = typename ArrayType::IndexType;

   ArrayType a1( size ), a2( size );

   /***

    * You may initiate the array using setElement

    */

   for( int i = 0; i< size; i++ )

      a1.setElement( i, i );

   /***

    * You may also assign value to all array elements ...

    */

   a2 = 0.0;

   /***

    * ... or assign STL list and vector.

    */

   std::list< float > l = { 1.0, 2.0, 3.0 };

   std::vector< float > v = { 5.0, 6.0, 7.0 };

   a1 = v;

   a1 = l;

   /***

    * Simple array values checks can be done as follows ...

    */

   if( a1.containsValue( 1 ) )

      std::cout << "a1 contains value 1." << std::endl;

   if( a1.containsValue( size ) )

      std::cout << "a1 contains value " << size << "." << std::endl;

   if( a1.containsOnlyValue( 0 ) )

      std::cout << "a2 contains only value 0." << std::endl;

   /***

    * More efficient way of array elements manipulation is with the lambda functions

    */

   ArrayType a3( size );

   auto f1 = [] __cuda_callable__ ( IndexType i ) -> int { return 2 * i;};

   a3.evaluate( f1 );

   for( int i = 0; i < size; i++ )

      if( a3.getElement( i ) != 2 * i )

         std::cerr << "Something is wrong!!!" << std::endl;

   /***

    * You may swap array data with the swap method.

    */

   a1.swap( a3 );

   /***

    * Of course, you may save it to file and load again

    */

   a1.save( "a1.tnl" );

   a2.load( "a1.tnl" );

   if( a2 != a1 )

      std::cerr << "Something is wrong!!!" << std::endl;

   std::cout << "a2 = " << a2 << std::endl;

}

int main()

{

   std::cout << "The first test runs on CPU ..." << std::endl;

   arrayViewExample< Devices::Host >();

#ifdef HAVE_CUDA

   std::cout << "The second test runs on GPU ..." << std::endl;

   arrayViewExample< Devices::Cuda >();

#endif

}

ArrayViewExample.cpp

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