/**
 * Copyright (c) Facebook, Inc. and its affiliates.
 *
 * This source code is licensed under the MIT license found in the
 * LICENSE file in the root directory of this source tree.
 */


#pragma once

#include <cuda.h>
#include "MathOperators.cuh"
#include "WarpShuffles.cuh"

namespace faiss { namespace gpu {

/// A simple pair type for CUDA device usage
template <typename K, typename V>
struct Pair {
  constexpr __device__ inline Pair() {
  }

  constexpr __device__ inline Pair(K key, V value)
      : k(key), v(value) {
  }

  __device__ inline bool
  operator==(const Pair<K, V>& rhs) const {
    return Math<K>::eq(k, rhs.k) && Math<V>::eq(v, rhs.v);
  }

  __device__ inline bool
  operator!=(const Pair<K, V>& rhs) const {
    return !operator==(rhs);
  }

  __device__ inline bool
  operator<(const Pair<K, V>& rhs) const {
    return Math<K>::lt(k, rhs.k) ||
      (Math<K>::eq(k, rhs.k) && Math<V>::lt(v, rhs.v));
  }

  __device__ inline bool
  operator>(const Pair<K, V>& rhs) const {
    return Math<K>::gt(k, rhs.k) ||
      (Math<K>::eq(k, rhs.k) && Math<V>::gt(v, rhs.v));
  }

  K k;
  V v;
};

template <typename T, typename U>
inline __device__ Pair<T, U> shfl_up(const Pair<T, U>& pair,
                                     unsigned int delta,
                                     int width = kWarpSize) {
  return Pair<T, U>(shfl_up(pair.k, delta, width),
                    shfl_up(pair.v, delta, width));
}

template <typename T, typename U>
inline __device__ Pair<T, U> shfl_xor(const Pair<T, U>& pair,
                                      int laneMask,
                                      int width = kWarpSize) {
  return Pair<T, U>(shfl_xor(pair.k, laneMask, width),
                    shfl_xor(pair.v, laneMask, width));
}

} } // namespace
