//===----------------------------------------------------------------------===//
//
// Part of the libcu++ Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
// SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//

// Modifications Copyright (c) 2025 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.

// UNSUPPORTED: nvrtc, hiprtc, pre-sm-60
// UNSUPPORTED: windows && pre-sm-70

#include <cuda/std/cassert>
#include <cuda/std/optional>

#include "helpers.h"

template <int Value>
struct int_generator
{
  __host__ __device__ auto operator()() const
  {
    return Value;
  }
};

struct nullopt_generator
{
  __host__ __device__ auto operator()() const
  {
    return cuda::std::nullopt;
  }
};

template <typename OperandGenerator>
struct assign_tester
{
  template <typename Opt>
  __host__ __device__ static void initialize(Opt& opt)
  {
    opt = OperandGenerator()();
  }

  template <typename Opt>
  __host__ __device__ static void validate(Opt& opt)
  {
    assert(opt == OperandGenerator()());
  }
};

struct reset_tester
{
  template <typename Opt>
  __host__ __device__ static void initialize(Opt& opt)
  {
    opt.reset();
  }

  template <typename Opt>
  __host__ __device__ static void validate(Opt& opt)
  {
    assert(!opt.has_value());
  }
};

template <typename OperandGenerator>
struct swap_tester
{
  template <typename Opt>
  __host__ __device__ static void initialize(Opt& opt)
  {
    auto original                                     = opt;
    cuda::std::optional<typename Opt::value_type> val = OperandGenerator()();
    opt.swap(val);
    assert(val == original);
  }

  template <typename Opt>
  __host__ __device__ static void validate(Opt& opt)
  {
    cuda::std::optional<typename Opt::value_type> val = OperandGenerator()();
    assert(opt == val);
  }
};

using testers =
  tester_list<assign_tester<nullopt_generator>,
              assign_tester<int_generator<123>>,
              assign_tester<nullopt_generator>,
              swap_tester<int_generator<17>>,
              reset_tester,
              assign_tester<int_generator<31>>,
              swap_tester<nullopt_generator>>;

struct non_trivial
{
  int i;

  __host__ __device__ non_trivial(int i)
      : i(i)
  {}
  non_trivial(const non_trivial&)            = default;
  non_trivial& operator=(const non_trivial&) = default;

  __host__ __device__ friend bool operator==(non_trivial lhs, non_trivial rhs)
  {
    return lhs.i == rhs.i;
  }
};

void kernel_invoker()
{
  // TODO: add validate_movable
  validate_pinned<cuda::std::optional<int>, testers>();
  validate_pinned<cuda::std::optional<non_trivial>, testers>();
}

int main(int arg, char** argv)
{
  NV_IF_TARGET(NV_IS_HOST, (kernel_invoker();))

  return 0;
}