#ifndef CAFFE2_CORE_COMMON_H_
#define CAFFE2_CORE_COMMON_H_

#include <algorithm>
#include <cmath>
#include <map>
#include <memory>
#include <numeric>
#include <set>
#include <sstream>
#include <string>
#include <type_traits>
#include <vector>

#ifdef __APPLE__
#include <TargetConditionals.h>
#endif

#if defined(_MSC_VER)
#include <io.h>
#else
#include <unistd.h>
#endif

// Macros used during the build of this caffe2 instance. This header file
// is automatically generated by the cmake script during build.
#include "caffe2/core/common.h"
#include "caffe2/core/macros.h"

#include "c10/macros/Macros.h"

namespace caffe2 {

// Note(Yangqing): NVCC does not play well with unordered_map on some platforms,
// forcing us to use std::map instead of unordered_map. This may affect speed
// in some cases, but in most of the computation code we do not access map very
// often, so it should be fine for us. I am putting a CaffeMap alias so we can
// change it more easily if things work out for unordered_map down the road.
template <typename Key, typename Value>
using CaffeMap = std::map<Key, Value>;
// using CaffeMap = std::unordered_map;

// Using statements for common classes that we refer to in caffe2 very often.
// Note that we only place it inside caffe2 so the global namespace is not
// polluted.
/* using override */
using std::set;
using std::string;
using std::unique_ptr;
using std::vector;

// Just in order to mark things as not implemented. Do not use in final code.
#define CAFFE_NOT_IMPLEMENTED CAFFE_THROW("Not Implemented.")

// suppress an unused variable.
#ifdef _MSC_VER
#define CAFFE2_UNUSED
#define CAFFE2_USED
#else
#define CAFFE2_UNUSED __attribute__((__unused__))
#define CAFFE2_USED __attribute__((__used__))
#endif //_MSC_VER

// Define enabled when building for iOS or Android devices
#if !defined(CAFFE2_MOBILE)
#if defined(__ANDROID__)
#define CAFFE2_ANDROID 1
#define CAFFE2_MOBILE 1
#elif (defined(__APPLE__) &&                                            \
       (TARGET_IPHONE_SIMULATOR || TARGET_OS_SIMULATOR || TARGET_OS_IPHONE))
#define CAFFE2_IOS 1
#define CAFFE2_MOBILE 1
#elif (defined(__APPLE__) && TARGET_OS_MAC)
#define CAFFE2_IOS 1
#define CAFFE2_MOBILE 0
#else
#define CAFFE2_MOBILE 0
#endif // ANDROID / IOS / MACOS
#endif // CAFFE2_MOBILE

// Define alignment macro that is cross platform
#if defined(_MSC_VER)
#define CAFFE2_ALIGNED(x) __declspec(align(x))
#else
#define CAFFE2_ALIGNED(x) __attribute__((aligned(x)))
#endif

#if defined(_MSC_VER)
#define CAFFE2_NORETURN __declspec(noreturn)
#else
#define CAFFE2_NORETURN __attribute__((noreturn))
#endif

#if defined(_MSC_VER)
#define NOMINMAX
#endif

// make_unique is a C++14 feature. If we don't have 14, we will emulate
// its behavior. This is copied from folly/Memory.h
#if __cplusplus >= 201402L ||                                              \
    (defined __cpp_lib_make_unique && __cpp_lib_make_unique >= 201304L) || \
    (defined(_MSC_VER) && _MSC_VER >= 1900)
/* using override */
using std::make_unique;
#else

template<typename T, typename... Args>
typename std::enable_if<!std::is_array<T>::value, std::unique_ptr<T>>::type
make_unique(Args&&... args) {
  return std::unique_ptr<T>(new T(std::forward<Args>(args)...));
}

// Allows 'make_unique<T[]>(10)'. (N3690 s20.9.1.4 p3-4)
template<typename T>
typename std::enable_if<std::is_array<T>::value, std::unique_ptr<T>>::type
make_unique(const size_t n) {
  return std::unique_ptr<T>(new typename std::remove_extent<T>::type[n]());
}

// Disallows 'make_unique<T[10]>()'. (N3690 s20.9.1.4 p5)
template<typename T, typename... Args>
typename std::enable_if<
  std::extent<T>::value != 0, std::unique_ptr<T>>::type
make_unique(Args&&...) = delete;

#endif

// to_string, stoi and stod implementation for Android related stuff.
// Note(jiayq): Do not use the CAFFE2_TESTONLY_FORCE_STD_STRING_TEST macro
// outside testing code that lives under common_test.cc
#if defined(__ANDROID__) || defined(CAFFE2_TESTONLY_FORCE_STD_STRING_TEST)
#define CAFFE2_TESTONLY_WE_ARE_USING_CUSTOM_STRING_FUNCTIONS 1
template <typename T>
std::string to_string(T value)
{
  std::ostringstream os;
  os << value;
  return os.str();
}

inline int stoi(const string& str) {
  std::stringstream ss;
  int n = 0;
  ss << str;
  ss >> n;
  return n;
}

inline uint64_t stoull(const string& str) {
  std::stringstream ss;
  uint64_t n = 0;
  ss << str;
  ss >> n;
  return n;
}

inline double stod(const string& str, std::size_t* pos = 0) {
  std::stringstream ss;
  ss << str;
  double val = 0;
  ss >> val;
  if (pos) {
    if (ss.tellg() == std::streampos(-1)) {
      *pos = str.size();
    } else {
      *pos = ss.tellg();
    }
  }
  return val;
}
#else
#define CAFFE2_TESTONLY_WE_ARE_USING_CUSTOM_STRING_FUNCTIONS 0
using std::to_string;
using std::stoi;
using std::stoull;
using std::stod;
#endif // defined(__ANDROID__) || defined(CAFFE2_FORCE_STD_STRING_FALLBACK_TEST)

#if defined(__ANDROID__) && !defined(__NDK_MAJOR__)
using ::round;
#else
using std::round;
#endif // defined(__ANDROID__) && !defined(__NDK_MAJOR__)

// dynamic cast reroute: if RTTI is disabled, go to reinterpret_cast
template <typename Dst, typename Src>
inline Dst dynamic_cast_if_rtti(Src ptr) {
#ifdef __GXX_RTTI
  return dynamic_cast<Dst>(ptr);
#else
  return static_cast<Dst>(ptr);
#endif
}

// SkipIndices are used in operator_fallback_gpu.h and operator_fallback_mkl.h
// as utilty functions that marks input / output indices to skip when we use a
// CPU operator as the fallback of GPU/MKL operator option.
template <int... values>
class SkipIndices {
 private:
  template <int V>
  static inline bool ContainsInternal(const int i) {
    return (i == V);
  }
  template <int First, int Second, int... Rest>
  static inline bool ContainsInternal(const int i) {
    return (i == First) || ContainsInternal<Second, Rest...>(i);
  }

 public:
  static inline bool Contains(const int i) {
    return ContainsInternal<values...>(i);
  }
};

template <>
class SkipIndices<> {
 public:
  static inline bool Contains(const int /*i*/) {
    return false;
  }
};

// HasCudaRuntime() tells the program whether the binary has Cuda runtime
// linked. This function should not be used in static initialization functions
// as the underlying boolean variable is going to be switched on when one
// loads libcaffe2_gpu.so.
CAFFE2_API bool HasCudaRuntime();
CAFFE2_API bool HasHipRuntime();
namespace internal {
// Sets the Cuda Runtime flag that is used by HasCudaRuntime(). You should
// never use this function - it is only used by the Caffe2 gpu code to notify
// Caffe2 core that cuda runtime has been loaded.
CAFFE2_API void SetCudaRuntimeFlag();
CAFFE2_API void SetHipRuntimeFlag();
}
// Returns which setting Caffe2 was configured and built with (exported from
// CMake)
CAFFE2_API const std::map<string, string>& GetBuildOptions();

}  // namespace caffe2

#endif  // CAFFE2_CORE_COMMON_H_
