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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 <type_traits>
#include <vector>
#include "xtensor/xadapt.hpp"
#include "xtensor/xarray.hpp"
#include "xtensor/xassign.hpp"
#include "xtensor/xlayout.hpp"
#include "xtensor/xnoalias.hpp"
#include "xtensor/xtensor.hpp"
#include "xtensor/xview.hpp"
#include "test_common.hpp"
#include "test_common_macros.hpp"
namespace xt
{
TEST(xassign_strided, mix_shape_types)
{
auto check_linear_assign = [](auto a, auto b)
{
assert_compatible_shape(a, b);
return xassign_traits<decltype(a), decltype(b)>::linear_assign(a, b, true);
};
auto check_strided_assign = [](auto a, auto b)
{
assert_compatible_shape(a, b);
#ifndef _WIN32
static_assert(
xassign_traits<decltype(a), decltype(b)>::strided_assign(),
"Failed to do strided assign"
);
#endif
return strided_assign_detail::get_loop_sizes(a, b).can_do_strided_assign;
};
{
size_t size = 50;
const std::array<size_t, 3> shape = {size, size, size};
xt::xtensor<double, 3> a(shape), b(shape);
auto core = xt::range(1, size - 1);
auto lhs = xt::view(b, core, core, core);
auto rhs = 1.0 / 7.0
* (xt::view(a, core, core, core) + xt::view(a, core, xt::range(2, size), core)
+ xt::view(a, core, xt::range(0, size - 2), core)
+ xt::view(a, xt::range(2, size), core, core)
+ xt::view(a, xt::range(0, size - 2), core, core));
xt::noalias(lhs) = rhs;
EXPECT_TRUE(check_strided_assign(lhs, rhs));
}
{
auto data = std::vector<double>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 13, 14, 15, 16, 17, 18, 19, 20};
auto simple_xtensor_12 = xt::xtensor<double, 2, layout_type::row_major>{
{1, 2, 3, 4},
{5, 6, 7, 8},
{9, 10, 11, 12}
};
auto simple_xtensor_16 = xt::xtensor<double, 2, layout_type::row_major>{
{1, 2, 3, 4},
{5, 6, 7, 8},
{9, 10, 11, 12},
{13, 14, 15, 16}
};
auto adapter_strided_noncont = xt::adapt(
data.data(),
12,
xt::no_ownership(),
std::vector<size_t>{4, 3},
std::vector<size_t>{4, 1}
);
auto adapter_strided_cont = xt::adapt(
data.data() + 1,
12,
xt::no_ownership(),
std::vector<size_t>{3, 4},
std::vector<size_t>{4, 1}
);
auto adapter_strided_noncont_43 = xt::adapt(
data.data(),
12,
xt::no_ownership(),
std::vector<size_t>{3, 4},
std::vector<size_t>{5, 1}
);
EXPECT_FALSE(check_strided_assign(adapter_strided_noncont, xt::transpose(adapter_strided_cont)));
auto contiguous_view = xt::view(simple_xtensor_12, xt::range(0, 3), xt::all());
EXPECT_TRUE(check_linear_assign(contiguous_view, adapter_strided_cont));
EXPECT_FALSE(check_linear_assign(contiguous_view, xt::transpose(adapter_strided_noncont)));
EXPECT_FALSE(check_linear_assign(xt::transpose(adapter_strided_noncont), contiguous_view));
EXPECT_FALSE(check_linear_assign(contiguous_view, adapter_strided_noncont_43));
EXPECT_FALSE(check_linear_assign(adapter_strided_noncont_43, contiguous_view));
EXPECT_TRUE(check_strided_assign(contiguous_view, adapter_strided_noncont_43));
EXPECT_TRUE(check_strided_assign(adapter_strided_noncont_43, contiguous_view));
auto contiguous_view2 = xt::view(simple_xtensor_12, xt::range(1, 3), xt::all());
auto contiguous_view3 = xt::view(simple_xtensor_12, xt::range(0, 2), xt::all());
EXPECT_TRUE(check_linear_assign(contiguous_view2, contiguous_view3));
{
auto view_noncont = xt::view(simple_xtensor_16, xt::all(), xt::range(0, 3));
EXPECT_FALSE(check_linear_assign(adapter_strided_noncont, view_noncont));
EXPECT_TRUE(check_strided_assign(adapter_strided_noncont, view_noncont));
}
{
auto view_cont = xt::view(simple_xtensor_16, xt::range(0, 1), xt::range(0, 4));
auto view_cont2 = xt::view(simple_xtensor_16, xt::range(3, 4), xt::range(0, 4));
EXPECT_TRUE(check_linear_assign(view_cont, view_cont2));
auto view_noncont = xt::view(simple_xtensor_16, xt::range(0, 4), xt::range(0, 3));
auto view_noncont2 = xt::view(simple_xtensor_16, xt::range(0, 4), xt::range(1, 4));
EXPECT_FALSE(check_linear_assign(view_noncont, view_noncont2));
EXPECT_TRUE(check_strided_assign(view_noncont, view_noncont2));
}
{
std::vector<double> data2{-1, -1, -1, -1};
auto linear_adapter = xt::adapt<layout_type::row_major>(
data2.data(),
4,
xt::no_ownership(),
std::vector<size_t>{4, 1}
);
auto adapter_cont2 = xt::adapt<layout_type::row_major>(
data.data(),
4,
xt::no_ownership(),
std::vector<size_t>{1, 4}
);
EXPECT_TRUE(linear_adapter.is_contiguous());
EXPECT_TRUE(adapter_cont2.is_contiguous());
bool success_one = check_linear_assign(linear_adapter, xt::transpose(adapter_cont2));
bool success_two = check_linear_assign(adapter_cont2, xt::transpose(linear_adapter));
EXPECT_TRUE(success_one && success_two);
auto adapter_noncont_singlecol = xt::adapt(
data.data(),
4,
xt::no_ownership(),
std::vector<size_t>{4, 1},
std::vector<size_t>{4, 1}
);
EXPECT_FALSE(check_linear_assign(adapter_noncont_singlecol, linear_adapter));
EXPECT_FALSE(check_linear_assign(linear_adapter, adapter_noncont_singlecol));
EXPECT_FALSE(check_strided_assign(adapter_noncont_singlecol, linear_adapter));
EXPECT_FALSE(check_strided_assign(linear_adapter, adapter_noncont_singlecol));
auto adapter_noncont_twocol = xt::adapt(
data.data(),
4,
xt::no_ownership(),
std::vector<size_t>{2, 2},
std::vector<size_t>{4, 1}
);
EXPECT_FALSE(check_linear_assign(adapter_noncont_twocol, linear_adapter.reshape({2, 2})));
EXPECT_FALSE(check_linear_assign(linear_adapter.reshape({2, 2}), adapter_noncont_twocol));
EXPECT_TRUE(check_strided_assign(adapter_noncont_twocol, linear_adapter.reshape({2, 2})));
EXPECT_TRUE(check_strided_assign(linear_adapter.reshape({2, 2}), adapter_noncont_twocol));
auto adapter_zero_strides = xt::adapt(
data.data(),
4,
xt::no_ownership(),
std::vector<size_t>{2, 2},
std::vector<size_t>{0, 0}
);
EXPECT_FALSE(check_linear_assign(adapter_zero_strides, adapter_zero_strides));
EXPECT_FALSE(check_strided_assign(adapter_zero_strides, adapter_zero_strides));
EXPECT_FALSE(check_linear_assign(adapter_zero_strides, linear_adapter));
}
{
std::vector<double> data2{-1, -1, -1, -1, -1, -1};
auto linear_adapter2 = xt::adapt<layout_type::row_major>(
data2.data(),
6,
xt::no_ownership(),
std::vector<size_t>{3, 2}
);
auto strided_adapter = xt::adapt(
data.data(),
6,
xt::no_ownership(),
std::vector<size_t>{3, 2},
std::vector<size_t>{4, 1}
);
EXPECT_FALSE(check_linear_assign(linear_adapter2, strided_adapter));
EXPECT_FALSE(check_linear_assign(strided_adapter, linear_adapter2));
EXPECT_TRUE(check_strided_assign(linear_adapter2, strided_adapter));
EXPECT_TRUE(check_strided_assign(strided_adapter, linear_adapter2));
xt::noalias(strided_adapter) = linear_adapter2;
auto result_expected = std::vector<double>{-1, -1, 3, 4, -1, -1, 7, 8, -1, -1,
11, 12, 13, 14, 15, 16, 17, 18, 19, 20};
EXPECT_EQ(data, result_expected);
}
}
}
}
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