/* Copyright (c) 2008-present Advanced Micro Devices, Inc.

 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
 in the Software without restriction, including without limitation the rights
 to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 copies of the Software, and to permit persons to whom the Software is
 furnished to do so, subject to the following conditions:

 The above copyright notice and this permission notice shall be included in
 all copies or substantial portions of the Software.

 THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 THE SOFTWARE. */

#ifndef NDRANGE_HPP_
#define NDRANGE_HPP_

#include "top.hpp"

#include <valarray>

#ifdef DEBUG
#include <cstdio>
#endif  // DEBUG

namespace amd {

/*! \addtogroup Runtime
 *  @{
 *
 *  \addtogroup Program Programs and Kernel functions
 *  @{
 */

//! An N-dimensions index space.
class NDRange : public EmbeddedObject {
 private:
  const size_t dimensions_ : 2;  //!< Number of dimensions [0-3]
  size_t data_[3];               //!< indexes array

 private:
  //! Construct a new index space for an array of elements (no-copy)
  NDRange(size_t dimensions, size_t* elements) : dimensions_(dimensions) {
    for (uint i = 0; i < dimensions_; ++i) {
      data_[i] = elements[i];
    }
  }

 public:
  //! Construct a new index space of the given dimensions.
  explicit NDRange(size_t dimensions);

  //! Copy constructor.
  NDRange(const NDRange& space);

  //! Destroy the index space.
  ~NDRange();

  //! Copy operator
  inline NDRange& operator=(const NDRange& space);

  //! Make all elements of this space equal to x.
  NDRange& operator=(size_t x);

  //! Return the number of dimensions.
  size_t dimensions() const { return dimensions_; }

  //! Return the element at the given \a index.
  size_t& operator[](size_t index) {
    assert(index < dimensions_ && "index is out of bounds");
    return data_[index];
  }

  //! Return the element at the given \a index.
  size_t operator[](size_t index) const {
    assert(index < dimensions_ && "index is out of bounds");
    return data_[index];
  }

  //! Return the sum of this index space elements.
  inline size_t sum() const;

  //! Return the product of this index space elements (size)
  inline size_t product() const;

  // Binary operators:
  inline friend NDRange operator+(const NDRange& x, const NDRange& y);
  inline friend NDRange operator-(const NDRange& x, const NDRange& y);
  inline friend NDRange operator*(const NDRange& x, const NDRange& y);
  inline friend NDRange operator/(const NDRange& x, const NDRange& y);
  inline friend NDRange operator%(const NDRange& x, const NDRange& y);

  //! Return true if this index space is identical to \a x.
  bool operator==(const NDRange& x) const;

  //! Return true if this index space and \a x are different.
  bool operator!=(const NDRange& x) const { return !(*this == x); }

  //! Return true if all elements are equal to \a x.
  bool operator==(size_t x) const;

  //! Return true if one element of this space is not equal to \a x.
  bool operator!=(size_t x) const { return !(*this == x); }

#ifdef DEBUG
  //! Print this index space on the given stream.
  void printOn(FILE* file) const;
#endif  // DEBUG
};

//! A container for the local and global worksizes.
class NDRangeContainer : public HeapObject {
 private:
  const size_t dimensions_;  //!< Number of dimensions.
  NDRange offset_;           //!< Global work-item offset.
  NDRange global_;           //!< Total number of work-items in N-dims
  NDRange local_;            //!< Number of work-items in N-dims in a workgroup.

 public:
  /*! \brief Construct a new nd-range container with the given local
   *  and global worksizes in \a nDimensions dimensions.
   */
  NDRangeContainer(size_t dimensions, const size_t* globalWorkOffset, const size_t* globalWorkSize,
                   const size_t* localWorkSize)
      : dimensions_(dimensions), offset_(dimensions), global_(dimensions), local_(dimensions) {
    for (size_t i = 0; i < dimensions; ++i) {
      offset_[i] = globalWorkOffset != NULL ? globalWorkOffset[i] : 0;
      global_[i] = globalWorkSize[i];
      local_[i] = localWorkSize[i];
    }
  }

  //! Return the number of dimensions.
  size_t dimensions() const { return dimensions_; }

  //! Return the global workoffset.
  const NDRange& offset() const { return offset_; }
  NDRange& offset() { return offset_; }
  //! Return the global worksize.
  const NDRange& global() const { return global_; }
  NDRange& global() { return global_; }
  //! Return the local worksize.
  const NDRange& local() const { return local_; }
  NDRange& local() { return local_; }
};


/*! @}\
 *  @}
 */

inline size_t NDRange::sum() const {
  size_t result = data_[0];
  for (size_t i = 1; i < dimensions_; ++i) {
    result += data_[i];
  }
  return result;
}

inline size_t NDRange::product() const {
  size_t result = data_[0];
  for (size_t i = 1; i < dimensions_; ++i) {
    result *= data_[i];
  }
  return result;
}

// This function is in this header file for performance improvements:
inline NDRange& NDRange::operator=(const NDRange& space) {
  assert(dimensions_ == space.dimensions_ && "dimensions mismatch");
  for (size_t i = 0; i < sizeof(data_) / sizeof(*data_); ++i) {
    data_[i] = space.data_[i];
  }
  return *this;
}

#define DEFINE_NDRANGE_BINARY_OP(op)                                                               \
  inline NDRange operator op(const NDRange& x, const NDRange& y) {                                 \
    assert(x.dimensions_ == y.dimensions_ && "dimensions mismatch");                               \
                                                                                                   \
    size_t dimensions = x.dimensions_;                                                             \
    size_t result[3] = {0};                                                                        \
    for (size_t i = 0; i < dimensions; ++i) {                                                      \
      result[i] = x.data_[i] op y.data_[i];                                                        \
    }                                                                                              \
                                                                                                   \
    return NDRange(dimensions, &result[0]);                                                        \
  }

DEFINE_NDRANGE_BINARY_OP(+);
DEFINE_NDRANGE_BINARY_OP(-);
DEFINE_NDRANGE_BINARY_OP(*);
DEFINE_NDRANGE_BINARY_OP(/);
DEFINE_NDRANGE_BINARY_OP(%);

#undef DEFINE_NDRANGE_BINARY_OP

}  // namespace amd

#endif /*NDRANGE_HPP_*/