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test_xfunctor_adaptor.cpp
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test_xfunctor_adaptor.cpp
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/***************************************************************************
* Copyright (c) Johan Mabille, Sylvain Corlay and Wolf Vollprecht *
* Copyright (c) QuantStack *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
#include "xtensor/xarray.hpp"
#include "xtensor/xcomplex.hpp"
#include "xtensor/xfunctor_view.hpp"
#include "xtensor/xio.hpp"
#include "xtensor/xnoalias.hpp"
#include "test_common_macros.hpp"
namespace xt
{
using namespace std::complex_literals;
template <class T>
struct nooblean_proxy
{
nooblean_proxy(T& ref)
: m_ref(ref)
{
}
operator bool()
{
return !m_ref;
};
nooblean_proxy& operator=(bool rhs)
{
m_ref = !rhs;
return *this;
}
T& m_ref;
};
template <class T>
struct xproxy_inner_types<nooblean_proxy<T>>
{
// T is used for constness deduction
using proxy = nooblean_proxy<T>;
using reference = nooblean_proxy<T>;
using pointer = nooblean_proxy<T>;
};
struct nooblean
{
using value_type = bool;
using reference = nooblean_proxy<bool>;
using const_reference = nooblean_proxy<const bool>;
using pointer = bool*;
using const_pointer = bool*;
template <class value_type, class requested_type>
using simd_return_type = xt_simd::simd_return_type<value_type, requested_type>;
const_reference operator()(const bool& in) const
{
return in;
}
reference operator()(bool& in)
{
return in;
}
/** cant implement yet -- need to figure out bool loading in xsimd **/
// template <class align, class requested_type, std::size_t N, class E>
// auto proxy_simd_load(const E& expr, std::size_t n) const
// {
// using simd_value_type = xsimd::simd_type<value_type>;
// return !expr.template load_simd<align, requested_type, N>(n);
// }
};
TEST(xfunctor_adaptor, basic)
{
using nooblean_adaptor = xt::xfunctor_adaptor<nooblean, xarray<bool>&>;
xarray<bool> vals = {{1, 1, 1, 0, 0}, {1, 0, 1, 0, 1}};
xarray<bool> xvals = !vals;
nooblean_adaptor aptvals(vals);
EXPECT_EQ(aptvals, xvals);
auto begin = aptvals.linear_begin();
*begin = true;
EXPECT_EQ(bool(*begin), true);
EXPECT_EQ(vals(0, 0), false);
aptvals(0, 0) = false;
EXPECT_EQ(vals(0, 0), true);
EXPECT_EQ(bool(aptvals(0, 0)), false);
bool execd = false;
if (aptvals(0, 0) == false)
{
execd = true;
}
EXPECT_TRUE(execd);
auto rhs1 = xt::xarray<bool>({true, false, true});
aptvals = rhs1;
EXPECT_EQ(rhs1, aptvals);
EXPECT_EQ(!rhs1, vals);
}
TEST(xfunctor_adaptor, iterator)
{
using nooblean_adaptor = xt::xfunctor_adaptor<nooblean, xarray<bool>&>;
xarray<bool> vals = {{1, 1, 1, 0, 0}, {1, 0, 1, 0, 1}};
xarray<bool> xvals = !vals;
nooblean_adaptor aptvals(vals);
auto it_adapt = aptvals.begin();
auto it_ref = xvals.begin();
for (; it_adapt != aptvals.end(); ++it_adapt, ++it_ref)
{
EXPECT_EQ(static_cast<bool>(*it_adapt), *it_ref);
}
}
TEST(xfunctor_adaptor, lhs_assignment)
{
using container_type = xarray<std::complex<double>>;
container_type e = {{3.0, 1.0 + 1.0i}, {1.0 - 1.0i, 2.0}};
// Assigning to a xfunctor_adaptor, which has a container semantics, resizes
// the underlying container.
auto radaptor = xt::xoffset_adaptor<container_type&, double, 0>(e);
xt::xtensor<double, 1> rhs = {4.0, 5.0};
radaptor = rhs;
EXPECT_EQ(e.dimension(), 1u);
EXPECT_EQ(xtl::real(e(0)), 4.0);
EXPECT_EQ(xtl::real(e(1)), 5.0);
}
#if defined(XTENSOR_USE_XSIMD) && XSIMD_X86_INSTR_SET >= XSIMD_X86_AVX_VERSION \
&& XSIMD_X86_INSTR_SET < XSIMD_X86_AVX512_VERSION
TEST(xfunctor_adaptor, simd)
{
// This test fails when the default layour is column_major
if (XTENSOR_DEFAULT_LAYOUT == ::xt::layout_type::column_major)
{
return;
}
xarray<std::complex<double>> e = {{3.0, 1.0 + 1.0i}, {1.0 - 1.0i, 2.0}};
auto iview = xt::imag(e);
auto loaded_batch = iview.template load_simd<xt_simd::aligned_mode, double, 4>(0);
EXPECT_TRUE(xsimd::all(xsimd::batch<double, 4>(0, 1, -1, 0) == loaded_batch));
auto newbatch = loaded_batch + 5;
iview.template store_simd<xt_simd::aligned_mode>(0, newbatch);
xarray<std::complex<double>> exp1 = {{3.0 + 5.0i, 1.0 + 6.0i}, {1.0 + 4.0i, 2.0 + 5.0i}};
EXPECT_EQ(exp1, e);
auto rview = xt::real(e);
auto loaded_batch2 = rview.template load_simd<xt_simd::aligned_mode, double, 4>(0);
EXPECT_TRUE(xsimd::all(xsimd::batch<double, 4>(3, 1, 1, 2) == loaded_batch2));
newbatch = loaded_batch2 + 5;
rview.template store_simd<xt_simd::aligned_mode>(0, newbatch);
xarray<std::complex<double>> exp2 = {{8.0 + 5.0i, 6.0 + 6.0i}, {6.0 + 4.0i, 7.0 + 5.0i}};
EXPECT_EQ(exp2, e);
auto f = xt::sin(xt::imag(e));
auto b = f.load_simd<xt_simd::aligned_mode>(0);
static_cast<void>(b);
using assign_to_view = xassign_traits<decltype(iview), decltype(f)>;
EXPECT_TRUE(assign_to_view::simd_linear_assign());
}
#endif
}