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/***************************************************************************
* Copyright (c) Johan Mabille, Sylvain Corlay, Wolf Vollprecht and *
* Martin Renou *
* Copyright (c) QuantStack *
* Copyright (c) Serge Guelton *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
#include "xsimd/xsimd.hpp"
#ifndef XSIMD_NO_SUPPORTED_ARCHITECTURE
#include "test_utils.hpp"
template <class B>
struct complex_trigonometric_test
{
using batch_type = B;
using real_batch_type = typename B::real_batch;
using value_type = typename B::value_type;
using real_value_type = typename value_type::value_type;
static constexpr size_t size = B::size;
using vector_type = std::vector<value_type>;
size_t nb_input;
vector_type input;
vector_type ainput;
vector_type atan_input;
vector_type expected;
vector_type res;
complex_trigonometric_test()
{
nb_input = size * 10000;
input.resize(nb_input);
ainput.resize(nb_input);
atan_input.resize(nb_input);
for (size_t i = 0; i < nb_input; ++i)
{
input[i] = value_type(real_value_type(0.) + i * real_value_type(80.) / nb_input,
real_value_type(0.1) + i * real_value_type(56.) / nb_input);
ainput[i] = value_type(real_value_type(-1.) + real_value_type(2.) * i / nb_input,
real_value_type(-1.1) + real_value_type(2.1) * i / nb_input);
atan_input[i] = value_type(real_value_type(-10.) + i * real_value_type(20.) / nb_input,
real_value_type(-9.) + i * real_value_type(21.) / nb_input);
}
expected.resize(nb_input);
res.resize(nb_input);
}
void test_sin()
{
std::transform(input.cbegin(), input.cend(), expected.begin(),
[](const value_type& v)
{ using std::sin; return sin(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
detail::load_batch(in, input, i);
out = sin(in);
detail::store_batch(out, res, i);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}
void test_cos()
{
std::transform(input.cbegin(), input.cend(), expected.begin(),
[](const value_type& v)
{ using std::cos; return cos(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
detail::load_batch(in, input, i);
out = cos(in);
detail::store_batch(out, res, i);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}
void test_sincos()
{
vector_type expected2(nb_input), res2(nb_input);
std::transform(input.cbegin(), input.cend(), expected.begin(),
[](const value_type& v)
{ using std::sin; return sin(v); });
std::transform(input.cbegin(), input.cend(), expected2.begin(),
[](const value_type& v)
{ using std::cos; return cos(v); });
batch_type in, out1, out2;
for (size_t i = 0; i < nb_input; i += size)
{
detail::load_batch(in, input, i);
std::tie(out1, out2) = sincos(in);
detail::store_batch(out1, res, i);
detail::store_batch(out2, res2, i);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
diff = detail::get_nb_diff(res2, expected2);
CHECK_EQ(diff, 0);
}
void test_tan()
{
test_conditional_tan<real_value_type>();
}
void test_asin()
{
std::transform(ainput.cbegin(), ainput.cend(), expected.begin(),
[](const value_type& v)
{ using std::asin; return asin(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
detail::load_batch(in, ainput, i);
out = asin(in);
detail::store_batch(out, res, i);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}
void test_acos()
{
std::transform(ainput.cbegin(), ainput.cend(), expected.begin(),
[](const value_type& v)
{ using std::acos; return acos(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
detail::load_batch(in, ainput, i);
out = acos(in);
detail::store_batch(out, res, i);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}
void test_atan()
{
std::transform(atan_input.cbegin(), atan_input.cend(), expected.begin(),
[](const value_type& v)
{ using std::atan; return atan(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
detail::load_batch(in, atan_input, i);
out = atan(in);
detail::store_batch(out, res, i);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}
private:
void test_tan_impl()
{
std::transform(input.cbegin(), input.cend(), expected.begin(),
[](const value_type& v)
{ using std::tan; return tan(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
detail::load_batch(in, input, i);
out = tan(in);
detail::store_batch(out, res, i);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}
template <class T, typename std::enable_if<!std::is_same<T, float>::value, int>::type = 0>
void test_conditional_tan()
{
test_tan_impl();
}
template <class T, typename std::enable_if<std::is_same<T, float>::value, int>::type = 0>
void test_conditional_tan()
{
#if (XSIMD_ARM_INSTR_SET >= XSIMD_ARM7_NEON_VERSION)
#if DEBUG_ACCURACY
test_tan_impl();
#endif
#else
test_tan_impl();
#endif
}
};
TEST_CASE_TEMPLATE("[complex trigonometric]", B, BATCH_COMPLEX_TYPES)
{
complex_trigonometric_test<B> Test;
SUBCASE("sin")
{
Test.test_sin();
}
SUBCASE("cos")
{
Test.test_cos();
}
SUBCASE("sincos")
{
Test.test_sincos();
}
SUBCASE("tan")
{
Test.test_tan();
}
SUBCASE("asin")
{
Test.test_asin();
}
SUBCASE("acos")
{
Test.test_acos();
}
SUBCASE("atan")
{
Test.test_atan();
}
}
#endif
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