/*
 *  Copyright 2008-2013 NVIDIA Corporation
 *  Modifications Copyright© 2019-2025 Advanced Micro Devices, Inc. All rights reserved.
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 */

/*
 * Copyright Jens Maurer 2000-2001
 * Distributed under the Boost Software License, Version 1.0. (See
 * accompanying file LICENSE_1_0.txt or copy at
 * http://www.boost.org/LICENSE_1_0.txt)
 */

#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 <thrust/pair.h>
#include <thrust/random/uniform_real_distribution.h>

#include <cmath>
#include <limits>

#if THRUST_DEVICE_COMPILER == THRUST_DEVICE_COMPILER_HIP
#  include <thrust/random/detail/erfcinv.h>
#endif

THRUST_NAMESPACE_BEGIN
namespace random
{
namespace detail
{

// this version samples the normal distribution directly
// and uses the non-standard math function erfcinv
template <typename RealType>
class normal_distribution_nvcc
{
protected:
  template <typename UniformRandomNumberGenerator>
  THRUST_HOST_DEVICE RealType sample(UniformRandomNumberGenerator& urng, const RealType mean, const RealType stddev)
  {
    using uint_type                = typename UniformRandomNumberGenerator::result_type;
    constexpr uint_type urng_range = UniformRandomNumberGenerator::max - UniformRandomNumberGenerator::min;

    // Constants for conversion
    constexpr RealType S1 = static_cast<RealType>(1. / static_cast<double>(urng_range));
    constexpr RealType S2 = S1 / 2;

    RealType S3 = static_cast<RealType>(-1.4142135623730950488016887242097); // -sqrt(2)

    // Get the integer value
    uint_type u = urng() - UniformRandomNumberGenerator::min;

    // Ensure the conversion to float will give a value in the range [0,0.5)
    if (u > (urng_range / 2))
    {
      u  = urng_range - u;
      S3 = -S3;
    }

    // Convert to floating point in [0,0.5)
    RealType p = u * S1 + S2;

    // Apply inverse error function
    return mean + stddev * S3 * erfcinv(2 * p);
  }

  // no-op
  THRUST_HOST_DEVICE void reset() {}
};

// this version samples the normal distribution using
// Marsaglia's "polar method"
template <typename RealType>
class normal_distribution_portable
{
protected:
  normal_distribution_portable()
      : m_r1()
      , m_r2()
      , m_cached_rho()
      , m_valid(false)
  {}

  normal_distribution_portable(const normal_distribution_portable& other)
      : m_r1(other.m_r1)
      , m_r2(other.m_r2)
      , m_cached_rho(other.m_cached_rho)
      , m_valid(other.m_valid)
  {}

  void reset()
  {
    m_valid = false;
  }

  // note that we promise to call this member function with the same mean and stddev
  template <typename UniformRandomNumberGenerator>
  THRUST_HOST_DEVICE RealType sample(UniformRandomNumberGenerator& urng, const RealType mean, const RealType stddev)
  {
    // implementation from Boost
    // allow for Koenig lookup
    using std::cos;
    using std::log;
    using std::sin;
    using std::sqrt;

    if (!m_valid)
    {
      uniform_real_distribution<RealType> u01;
      m_r1         = u01(urng);
      m_r2         = u01(urng);
      m_cached_rho = sqrt(-RealType(2) * log(RealType(1) - m_r2));

      m_valid = true;
    }
    else
    {
      m_valid = false;
    }

    const RealType pi = RealType(3.14159265358979323846);

    RealType result = m_cached_rho * (m_valid ? cos(RealType(2) * pi * m_r1) : sin(RealType(2) * pi * m_r1));

    return mean + stddev * result;
  }

private:
  RealType m_r1, m_r2, m_cached_rho;
  bool m_valid;
};

template <typename RealType>
struct normal_distribution_base
{
#if (defined(__NVCC__) || (defined(__CUDA__) && THRUST_HOST_COMPILER == THRUST_HOST_COMPILER_CLANG) \
     || THRUST_HOST_COMPILER == THRUST_HOST_COMPILER_NVRTC)                                         \
  || (THRUST_DEVICE_COMPILER == THRUST_DEVICE_COMPILER_HIP)
  using type = normal_distribution_nvcc<RealType>;
#else
  using type = normal_distribution_portable<RealType>;
#endif
};

} // namespace detail
} // namespace random
THRUST_NAMESPACE_END
