Deleted out-of-date TODO that wasn't for developmental purposes.

/* See Copyright Notice in tnl/Copyright */

// TODO

/*

 * setDimensions()                      ::DONE

 * setCompressedRowLengths()            ::DONE

 * getRowLength()                   ::USED! In test_SetCompressedRowLengths() to verify the test itself.

 * getRowLengthFast()               ::TEST? How to test __cuda_callable__? ONLY TEST ON CPU FOR NOW

 * setLike()                            ::DONE

 * reset()                              ::DONE

 * setElementFast()                 ::TEST? How to test __cuda_callable__? ONLY TEST ON CPU FOR NOW

 * setElement()                         ::DONE

 * addElementFast()                 ::TEST? How to test __cuda_callable__? ONLY TEST ON CPU FOR NOW

 * addElement()                         ::DONE

 * setRowFast()                     ::TEST? How to test __cuda_callable__? ONLY TEST ON CPU FOR NOW

 * setRow()                             ::DONE

 *      MISTAKE!!! In SlicedEllpack: addElement(), line 263, "column <= this->rows" shouldn't it be: "column <= this->columns", otherwise test_SetRow causes the assertion to fail.

 * addRowFast()                     ::TEST? How to test __cuda_callable__? ONLY TEST ON CPU FOR NOW

 * addRow()                         ::NOT IMPLEMENTED! This calls addRowFast() which isn't implemented. Implement? Is it supposed to add an extra row to the matrix or add elements of a row to another row in the matrix?

 * getElementFast()                 ::TEST? How to test __cuda_callable__? ONLY TEST ON CPU FOR NOW

 * getElement()                     ::USED! In test_SetElement(), test_AddElement() and test_setRow() to verify the test itself.

 * getRowFast()                     ::TEST? How to test __cuda_callable__? ONLY TEST ON CPU FOR NOW

 * MatrixRow getRow()               ::TEST? How to test __cuda_callable__? ONLY TEST ON CPU FOR NOW

 * ConstMatrixRow getRow()          ::TEST? How to test __cuda_callable__? ONLY TEST ON CPU FOR NOW

 * rowVectorProduct()               ::TEST? How to test __cuda_callable__? ONLY TEST ON CPU FOR NOW

 * vectorProduct()                      ::DONE

 *      This used to throw illegal memory access, but instead of using ints for vectors, using Types, helped.

 * addMatrix()                      ::NOT IMPLEMENTED!

 * getTransposition()               ::NOT IMPLMENETED!

 * performSORIteration()            ::HOW? Throws segmentation fault CUDA.

 * operator=()                      ::HOW? What is this supposed to enable? Overloading operators?

 * save( File& file)                ::USED! In save( String& fileName )

 * load( File& file )               ::USED! In load( String& fileName )

 * save( String& fileName )             ::DONE

 * load( String& fileName )             ::DONE

 * print()                              ::DONE

 * setCudaKernelType()              ::NOT SUPPOSED TO TEST! via notes from 1.11.2018 supervisor meeting.

 * getCudaKernelType()              ::NOT SUPPOSED TO TEST! via notes from 1.11.2018 supervisor meeting.

 * setCudaWarpSize()                ::NOT SUPPOSED TO TEST! via notes from 1.11.2018 supervisor meeting.

 * getCudaWarpSize()                ::NOT SUPPOSED TO TEST! via notes from 1.11.2018 supervisor meeting.

 * setHybridModeSplit()             ::NOT SUPPOSED TO TEST! via notes from 1.11.2018 supervisor meeting.

 * getHybridModeSplit()             ::NOT SUPPOSED TO TEST! via notes from 1.11.2018 supervisor meeting.

 * spmvCudaVectorized()             ::TEST? How to test __device__?

 * vectorProductCuda()              ::TEST? How to test __device__?

 */

// GENERAL TODO

/*

 * For every function, EXPECT_EQ needs to be done, even for zeros in matrices.

 * Figure out __cuda_callable_. When trying to call __cuda_callable__ functions

 *      a segmentation fault (core dumped) is thrown.

 *  ==>__cuda_callable__ works only for CPU at the moment. (for loops vs thread kernel assignment).

 *                       If we want to use __cuda_callable__ on the GPU, we need to call it as a kernel.

 */

#include <TNL/Containers/Vector.h>

#include <TNL/Containers/VectorView.h>

#include <TNL/Math.h>