Adding ArrayView example.

src/Examples/Containers/ArrayViewExample.cpp

+#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
+}

src/Examples/Containers/ArrayViewExample.cu

+ArrayViewExample.cpp
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