#include <thrust/functional.h>
#include <thrust/transform.h>

#include <algorithm>
#include <functional>

#include <unittest/unittest.h>

const size_t NUM_SAMPLES = 10000;

template <class InputVector, class OutputVector, class Operator, class ReferenceOperator>
void TestBinaryFunctional()
{
  using InputType  = typename InputVector::value_type;
  using OutputType = typename OutputVector::value_type;

  thrust::host_vector<InputType> std_input1 = unittest::random_samples<InputType>(NUM_SAMPLES);
  thrust::host_vector<InputType> std_input2 = unittest::random_samples<InputType>(NUM_SAMPLES);
  thrust::host_vector<OutputType> std_output(NUM_SAMPLES);

  // Replace zeros to avoid divide by zero exceptions
  std::replace(std_input2.begin(), std_input2.end(), (InputType) 0, (InputType) 1);

  InputVector input1 = std_input1;
  InputVector input2 = std_input2;
  OutputVector output(NUM_SAMPLES);

  thrust::transform(input1.begin(), input1.end(), input2.begin(), output.begin(), Operator());
  thrust::transform(std_input1.begin(), std_input1.end(), std_input2.begin(), std_output.begin(), ReferenceOperator());

  // Note: FP division is not bit-equal, even when nvcc is invoked with --prec-div
  ASSERT_ALMOST_EQUAL(output, std_output);
}

// XXX add bool to list
// Instantiate a macro for all integer-like data types
// clang-format off
#define INSTANTIATE_INTEGER_TYPES(Macro, vector_type, operator_name)   \
Macro(vector_type, operator_name, unittest::int8_t  )                  \
Macro(vector_type, operator_name, unittest::uint8_t )                  \
Macro(vector_type, operator_name, unittest::int16_t )                  \
Macro(vector_type, operator_name, unittest::uint16_t)                  \
Macro(vector_type, operator_name, unittest::int32_t )                  \
Macro(vector_type, operator_name, unittest::uint32_t)                  \
Macro(vector_type, operator_name, unittest::int64_t )                  \
Macro(vector_type, operator_name, unittest::uint64_t)
// clang-format on

// Instantiate a macro for all integer and floating point data types
#define INSTANTIATE_ALL_TYPES(Macro, vector_type, operator_name) \
  INSTANTIATE_INTEGER_TYPES(Macro, vector_type, operator_name)   \
  Macro(vector_type, operator_name, float)

// bitwise_op(T,T) -> T
#define INSTANTIATE_BINARY_BITWISE_FUNCTIONAL_TEST(vector_type, operator_name, data_type) \
  TestBinaryFunctional<thrust::vector_type<data_type>,                                    \
                       thrust::vector_type<data_type>,                                    \
                       ::cuda::std::operator_name<data_type>,                             \
                       ::std::operator_name<data_type>>();

// op(T,T) -> T (for bitwise op and integer T only)
#define DECLARE_BINARY_BITWISE_FUNCTIONAL_UNITTEST(operator_name, OperatorName)                          \
  void Test##OperatorName##FunctionalHost()                                                              \
  {                                                                                                      \
    INSTANTIATE_INTEGER_TYPES(INSTANTIATE_BINARY_BITWISE_FUNCTIONAL_TEST, host_vector, operator_name);   \
  }                                                                                                      \
  DECLARE_UNITTEST(Test##OperatorName##FunctionalHost);                                                  \
  void Test##OperatorName##FunctionalDevice()                                                            \
  {                                                                                                      \
    INSTANTIATE_INTEGER_TYPES(INSTANTIATE_BINARY_BITWISE_FUNCTIONAL_TEST, device_vector, operator_name); \
  }                                                                                                      \
  DECLARE_UNITTEST(Test##OperatorName##FunctionalDevice);

// Create the unit tests
DECLARE_BINARY_BITWISE_FUNCTIONAL_UNITTEST(bit_and, BitAnd);
DECLARE_BINARY_BITWISE_FUNCTIONAL_UNITTEST(bit_or, BitOr);
DECLARE_BINARY_BITWISE_FUNCTIONAL_UNITTEST(bit_xor, BitXor);