xtensor/test/test_xfunctor_adaptor.cpp at master · xtensor-stack/xtensor · GitHub

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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/containers/xarray.hpp"

#include "xtensor/core/xnoalias.hpp"

#include "xtensor/io/xio.hpp"

#include "xtensor/misc/xcomplex.hpp"

#include "xtensor/views/xfunctor_view.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

}

xtensor/test/test_xfunctor_adaptor.cpp at master · xtensor-stack/xtensor · GitHub

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