/******************************************************************************
 * Copyright (c) 2016, NVIDIA CORPORATION.  All rights meserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *     * Redistributions of source code must retain the above copyright
 *       notice, this list of conditions and the following disclaimer.
 *     * Redistributions in binary form must reproduce the above copyright
 *       notice, this list of conditions and the following disclaimer in the
 *       documentation and/or other materials provided with the distribution.
 *     * Neither the name of the NVIDIA CORPORATION nor the
 *       names of its contributors may be used to endorse or promote products
 *       derived from this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
 * ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
 * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
 * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 *
 ******************************************************************************/
#pragma once

#include <thrust/detail/config.h>

#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
#  pragma GCC system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
#  pragma clang system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
#  pragma system_header
#endif // no system header

#include <cub/config.cuh>

#include <cub/detail/device_synchronize.cuh>
#include <cub/util_device.cuh>

#include <thrust/iterator/iterator_traits.h>
#include <thrust/system/cuda/detail/execution_policy.h>
#include <thrust/system/cuda/error.h>
#include <thrust/system_error.h>

#include <cstdio>
#include <exception>

#include <nv/target>

THRUST_NAMESPACE_BEGIN
namespace cuda_cub
{

inline _CCCL_HOST_DEVICE cudaStream_t default_stream()
{
#ifdef CUDA_API_PER_THREAD_DEFAULT_STREAM
  return cudaStreamPerThread;
#else
  return cudaStreamLegacy;
#endif
}

// Fallback implementation of the customization point.
template <class Derived>
_CCCL_HOST_DEVICE cudaStream_t get_stream(execution_policy<Derived>&)
{
  return default_stream();
}

// Entry point/interface.
template <class Derived>
_CCCL_HOST_DEVICE cudaStream_t stream(execution_policy<Derived>& policy)
{
  return get_stream(derived_cast(policy));
}

// Fallback implementation of the customization point.
template <class Derived>
_CCCL_HOST_DEVICE bool must_perform_optional_stream_synchronization(execution_policy<Derived>&)
{
  return true;
}

// Entry point/interface.
template <class Derived>
_CCCL_HOST_DEVICE bool must_perform_optional_synchronization(execution_policy<Derived>& policy)
{
  return must_perform_optional_stream_synchronization(derived_cast(policy));
}

// Fallback implementation of the customization point.
_CCCL_EXEC_CHECK_DISABLE
template <class Derived>
_CCCL_HOST_DEVICE cudaError_t synchronize_stream(execution_policy<Derived>& policy)
{
  return cub::SyncStream(stream(policy));
}

// Entry point/interface.
template <class Policy>
_CCCL_HOST_DEVICE cudaError_t synchronize(Policy& policy)
{
  return synchronize_stream(derived_cast(policy));
}

// Fallback implementation of the customization point.
_CCCL_EXEC_CHECK_DISABLE
template <class Derived>
_CCCL_HOST_DEVICE cudaError_t synchronize_stream_optional(execution_policy<Derived>& policy)
{
  cudaError_t result;

  if (must_perform_optional_synchronization(policy))
  {
    result = synchronize_stream(policy);
  }
  else
  {
    result = cudaSuccess;
  }

  return result;
}

// Entry point/interface.
template <class Policy>
_CCCL_HOST_DEVICE cudaError_t synchronize_optional(Policy& policy)
{
  return synchronize_stream_optional(derived_cast(policy));
}

template <class Type>
THRUST_HOST_FUNCTION cudaError_t trivial_copy_from_device(Type* dst, Type const* src, size_t count, cudaStream_t stream)
{
  cudaError status = cudaSuccess;
  if (count == 0)
  {
    return status;
  }

  status = ::cudaMemcpyAsync(dst, src, sizeof(Type) * count, cudaMemcpyDeviceToHost, stream);
  cudaStreamSynchronize(stream);
  return status;
}

template <class Type>
THRUST_HOST_FUNCTION cudaError_t trivial_copy_to_device(Type* dst, Type const* src, size_t count, cudaStream_t stream)
{
  cudaError status = cudaSuccess;
  if (count == 0)
  {
    return status;
  }

  status = ::cudaMemcpyAsync(dst, src, sizeof(Type) * count, cudaMemcpyHostToDevice, stream);
  cudaStreamSynchronize(stream);
  return status;
}

template <class Policy, class Type>
THRUST_RUNTIME_FUNCTION cudaError_t
trivial_copy_device_to_device(Policy& policy, Type* dst, Type const* src, size_t count)
{
  cudaError_t status = cudaSuccess;
  if (count == 0)
  {
    return status;
  }

  cudaStream_t stream = cuda_cub::stream(policy);
  //
  status = ::cudaMemcpyAsync(dst, src, sizeof(Type) * count, cudaMemcpyDeviceToDevice, stream);
  cuda_cub::synchronize_optional(policy);
  return status;
}

CCCL_DEPRECATED_BECAUSE("Use cuda::std::terminate() instead") inline void _CCCL_HOST_DEVICE terminate()
{
  NV_IF_TARGET(NV_IS_HOST, (std::terminate();), (asm("trap;");));
}

_CCCL_HOST_DEVICE inline void throw_on_error(cudaError_t status)
{
  // Clear the global CUDA error state which may have been set by the last
  // call. Otherwise, errors may "leak" to unrelated kernel launches.
#ifdef THRUST_RDC_ENABLED
  cudaGetLastError();
#else
  NV_IF_TARGET(NV_IS_HOST, (cudaGetLastError();));
#endif

  if (cudaSuccess != status)
  {
    // Can't use #if inside NV_IF_TARGET, use a temp macro to hoist the device
    // instructions out of the target logic.
#ifdef THRUST_RDC_ENABLED

#  define THRUST_TEMP_DEVICE_CODE \
    printf("Thrust CUDA backend error: %s: %s\n", cudaGetErrorName(status), cudaGetErrorString(status))

#else

#  define THRUST_TEMP_DEVICE_CODE printf("Thrust CUDA backend error: %d\n", static_cast<int>(status))

#endif

    NV_IF_TARGET(NV_IS_HOST,
                 (throw thrust::system_error(status, thrust::cuda_category());),
                 (THRUST_TEMP_DEVICE_CODE; ::cuda::std::terminate();));

#undef THRUST_TEMP_DEVICE_CODE
  }
}

_CCCL_HOST_DEVICE inline void throw_on_error(cudaError_t status, char const* msg)
{
  // Clear the global CUDA error state which may have been set by the last
  // call. Otherwise, errors may "leak" to unrelated kernel launches.
#ifdef THRUST_RDC_ENABLED
  cudaGetLastError();
#else
  NV_IF_TARGET(NV_IS_HOST, (cudaGetLastError();));
#endif

  if (cudaSuccess != status)
  {
    // Can't use #if inside NV_IF_TARGET, use a temp macro to hoist the device
    // instructions out of the target logic.
#ifdef THRUST_RDC_ENABLED

#  define THRUST_TEMP_DEVICE_CODE \
    printf("Thrust CUDA backend error: %s: %s: %s\n", cudaGetErrorName(status), cudaGetErrorString(status), msg)

#else

#  define THRUST_TEMP_DEVICE_CODE printf("Thrust CUDA backend error: %d: %s\n", static_cast<int>(status), msg)

#endif

    NV_IF_TARGET(NV_IS_HOST,
                 (throw thrust::system_error(status, thrust::cuda_category(), msg);),
                 (THRUST_TEMP_DEVICE_CODE; ::cuda::std::terminate();));

#undef THRUST_TEMP_DEVICE_CODE
  }
}

// deprecated [Since 2.8]
template <class ValueType, class InputIt, class UnaryOp>
struct CCCL_DEPRECATED_BECAUSE("Use thrust::transform_iterator") transform_input_iterator_t
{
  _CCCL_SUPPRESS_DEPRECATED_PUSH
  using self_t = transform_input_iterator_t;
  _CCCL_SUPPRESS_DEPRECATED_POP
  using difference_type   = typename iterator_traits<InputIt>::difference_type;
  using value_type        = ValueType;
  using pointer           = void;
  using reference         = value_type;
  using iterator_category = ::cuda::std::random_access_iterator_tag;

  InputIt input;
  mutable UnaryOp op;

  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE transform_input_iterator_t(InputIt input, UnaryOp op)
      : input(input)
      , op(op)
  {}

  transform_input_iterator_t(const self_t&) = default;

  // UnaryOp might not be copy assignable, such as when it is a lambda.  Define
  // an explicit copy assignment operator that doesn't try to assign it.
  _CCCL_HOST_DEVICE self_t& operator=(const self_t& o)
  {
    input = o.input;
    return *this;
  }

  /// Postfix increment
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t operator++(int)
  {
    self_t retval = *this;
    ++input;
    return retval;
  }

  /// Prefix increment
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t operator++()
  {
    ++input;
    return *this;
  }

  /// Indirection
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE reference operator*() const
  {
    typename thrust::iterator_value<InputIt>::type x = *input;
    return op(x);
  }
  /// Indirection
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE reference operator*()
  {
    typename thrust::iterator_value<InputIt>::type x = *input;
    return op(x);
  }

  /// Addition
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t operator+(difference_type n) const
  {
    return self_t(input + n, op);
  }

  /// Addition assignment
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t& operator+=(difference_type n)
  {
    input += n;
    return *this;
  }

  /// Subtraction
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t operator-(difference_type n) const
  {
    return self_t(input - n, op);
  }

  /// Subtraction assignment
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t& operator-=(difference_type n)
  {
    input -= n;
    return *this;
  }

  /// Distance
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE difference_type operator-(self_t other) const
  {
    return input - other.input;
  }

  /// Array subscript
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE reference operator[](difference_type n) const
  {
    return op(input[n]);
  }

  /// Equal to
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE bool operator==(const self_t& rhs) const
  {
    return (input == rhs.input);
  }

  /// Not equal to
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE bool operator!=(const self_t& rhs) const
  {
    return (input != rhs.input);
  }
}; // struct transform_input_iterarot_t

// deprecated [Since 2.8]
template <class ValueType, class InputIt1, class InputIt2, class BinaryOp>
struct CCCL_DEPRECATED_BECAUSE("Use thrust::transform_iterator of a thrust::zip_iterator")
  transform_pair_of_input_iterators_t
{
  _CCCL_SUPPRESS_DEPRECATED_PUSH
  using self_t = transform_pair_of_input_iterators_t;
  _CCCL_SUPPRESS_DEPRECATED_POP
  using difference_type   = typename iterator_traits<InputIt1>::difference_type;
  using value_type        = ValueType;
  using pointer           = void;
  using reference         = value_type;
  using iterator_category = ::cuda::std::random_access_iterator_tag;

  InputIt1 input1;
  InputIt2 input2;
  mutable BinaryOp op;

  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE
  transform_pair_of_input_iterators_t(InputIt1 input1_, InputIt2 input2_, BinaryOp op_)
      : input1(input1_)
      , input2(input2_)
      , op(op_)
  {}

  transform_pair_of_input_iterators_t(const self_t&) = default;

  // BinaryOp might not be copy assignable, such as when it is a lambda.
  // Define an explicit copy assignment operator that doesn't try to assign it.
  _CCCL_HOST_DEVICE self_t& operator=(const self_t& o)
  {
    input1 = o.input1;
    input2 = o.input2;
    return *this;
  }

  /// Postfix increment
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t operator++(int)
  {
    self_t retval = *this;
    ++input1;
    ++input2;
    return retval;
  }

  /// Prefix increment
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t operator++()
  {
    ++input1;
    ++input2;
    return *this;
  }

  /// Indirection
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE reference operator*() const
  {
    return op(*input1, *input2);
  }
  /// Indirection
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE reference operator*()
  {
    return op(*input1, *input2);
  }

  /// Addition
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t operator+(difference_type n) const
  {
    return self_t(input1 + n, input2 + n, op);
  }

  /// Addition assignment
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t& operator+=(difference_type n)
  {
    input1 += n;
    input2 += n;
    return *this;
  }

  /// Subtraction
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t operator-(difference_type n) const
  {
    return self_t(input1 - n, input2 - n, op);
  }

  /// Subtraction assignment
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t& operator-=(difference_type n)
  {
    input1 -= n;
    input2 -= n;
    return *this;
  }

  /// Distance
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE difference_type operator-(self_t other) const
  {
    return input1 - other.input1;
  }

  /// Array subscript
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE reference operator[](difference_type n) const
  {
    return op(input1[n], input2[n]);
  }

  /// Equal to
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE bool operator==(const self_t& rhs) const
  {
    return (input1 == rhs.input1) && (input2 == rhs.input2);
  }

  /// Not equal to
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE bool operator!=(const self_t& rhs) const
  {
    return (input1 != rhs.input1) || (input2 != rhs.input2);
  }

}; // struct transform_pair_of_input_iterators_t

// deprecated [Since 2.8]
struct CCCL_DEPRECATED_BECAUSE("Use cuda::std::identity") identity
{
  template <class T>
  _CCCL_HOST_DEVICE T const& operator()(T const& t) const
  {
    return t;
  }

  template <class T>
  _CCCL_HOST_DEVICE T& operator()(T& t) const
  {
    return t;
  }
};

// deprecated [Since 2.8]
template <class T>
struct CCCL_DEPRECATED_BECAUSE("Use thrust::counting_iterator") counting_iterator_t
{
  _CCCL_SUPPRESS_DEPRECATED_PUSH
  using self_t = counting_iterator_t;
  _CCCL_SUPPRESS_DEPRECATED_POP
  using difference_type   = T;
  using value_type        = T;
  using pointer           = void;
  using reference         = T;
  using iterator_category = ::cuda::std::random_access_iterator_tag;

  T count;

  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE counting_iterator_t(T count_)
      : count(count_)
  {}

  /// Postfix increment
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t operator++(int)
  {
    self_t retval = *this;
    ++count;
    return retval;
  }

  /// Prefix increment
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t operator++()
  {
    ++count;
    return *this;
  }

  /// Indirection
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE reference operator*() const
  {
    return count;
  }

  /// Indirection
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE reference operator*()
  {
    return count;
  }

  /// Addition
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t operator+(difference_type n) const
  {
    return self_t(count + n);
  }

  /// Addition assignment
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t& operator+=(difference_type n)
  {
    count += n;
    return *this;
  }

  /// Subtraction
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t operator-(difference_type n) const
  {
    return self_t(count - n);
  }

  /// Subtraction assignment
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_t& operator-=(difference_type n)
  {
    count -= n;
    return *this;
  }

  /// Distance
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE difference_type operator-(self_t other) const
  {
    return count - other.count;
  }

  /// Array subscript
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE reference operator[](difference_type n) const
  {
    return count + n;
  }

  /// Equal to
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE bool operator==(const self_t& rhs) const
  {
    return (count == rhs.count);
  }

  /// Not equal to
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE bool operator!=(const self_t& rhs) const
  {
    return (count != rhs.count);
  }

}; // struct count_iterator_t

} // namespace cuda_cub

THRUST_NAMESPACE_END
