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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 "test_common.hpp"
namespace xt
{
using vec_type = std::vector<int>;
using adaptor_type = xarray_adaptor<vec_type, layout_type::dynamic>;
TEST(xarray_adaptor, shaped_constructor)
{
SUBCASE("row_major constructor")
{
row_major_result<> rm;
vec_type v;
adaptor_type a(v, rm.shape(), layout_type::row_major);
compare_shape(a, rm);
}
SUBCASE("column_major constructor")
{
column_major_result<> cm;
vec_type v;
adaptor_type a(v, cm.shape(), layout_type::column_major);
compare_shape(a, cm);
}
}
TEST(xarray_adaptor, strided_constructor)
{
central_major_result<> cmr;
vec_type v;
adaptor_type a(v, cmr.shape(), cmr.strides());
compare_shape(a, cmr);
}
TEST(xarray_adaptor, copy_semantic)
{
central_major_result<> res;
int value = 2;
vec_type v(res.size(), value);
adaptor_type a(v, res.shape(), res.strides());
SUBCASE("copy constructor")
{
adaptor_type b(a);
compare_shape(a, b);
EXPECT_EQ(a.storage(), b.storage());
}
SUBCASE("assignment operator")
{
row_major_result<> r;
vec_type v2(r.size(), 0);
adaptor_type c(v2, r.shape());
EXPECT_NE(a.storage(), c.storage());
c = a;
compare_shape(a, c);
EXPECT_EQ(a.storage(), c.storage());
}
}
TEST(xarray_adaptor, move_semantic)
{
central_major_result<> res;
int value = 2;
vec_type v(res.size(), value);
adaptor_type a(v, res.shape(), res.strides());
SUBCASE("move constructor")
{
adaptor_type tmp(a);
adaptor_type b(std::move(tmp));
compare_shape(a, b);
EXPECT_EQ(a.storage(), b.storage());
}
SUBCASE("move assignment")
{
row_major_result<> r;
vec_type v2(r.size(), 0);
adaptor_type c(v2, r.shape());
EXPECT_NE(a.storage(), c.storage());
adaptor_type tmp(a);
c = std::move(tmp);
compare_shape(a, c);
EXPECT_EQ(a.storage(), c.storage());
}
}
TEST(xarray_adaptor, resize)
{
vec_type v;
adaptor_type a(v);
test_resize(a);
}
TEST(xarray_adaptor, reshape)
{
vec_type v;
adaptor_type a(v);
test_reshape(a);
}
#if !(defined(XTENSOR_ENABLE_ASSERT) && defined(XTENSOR_DISABLE_EXCEPTIONS))
TEST(xarray_adaptor, access)
{
vec_type v;
adaptor_type a(v);
test_access(a);
}
#endif
TEST(xarray_adaptor, unchecked)
{
vec_type v;
adaptor_type a(v);
test_unchecked(a);
}
TEST(xarray_adaptor, at)
{
vec_type v;
adaptor_type a(v);
test_at(a);
}
TEST(xarray_adaptor, indexed_access)
{
vec_type v;
adaptor_type a(v);
test_indexed_access(a);
}
TEST(xarray_adaptor, broadcast_shape)
{
vec_type v;
adaptor_type a(v);
test_broadcast(a);
test_broadcast2(a);
}
TEST(xarray_adaptor, iterator)
{
vec_type v;
using adaptor_rm = xarray_adaptor<vec_type, layout_type::row_major>;
using adaptor_cm = xarray_adaptor<vec_type, layout_type::column_major>;
adaptor_rm arm(v);
adaptor_cm acm(v);
test_iterator(arm, acm);
}
TEST(xarray_adaptor, fill)
{
vec_type v;
adaptor_type a(v);
test_fill(a);
}
TEST(xarray_adaptor, xiterator)
{
vec_type v;
adaptor_type a(v);
test_xiterator(a);
}
TEST(xarray_adaptor, reverse_xiterator)
{
vec_type v;
adaptor_type a(v);
test_reverse_xiterator(a);
}
TEST(xarray_adaptor, adapt_std_array)
{
std::array<double, 9> a = {1, 2, 3, 4, 5, 6, 7, 8, 9};
xt::xarray_adaptor<decltype(a)> ad(a, xt::dynamic_shape<std::size_t>{3, 3});
EXPECT_EQ(ad(1, 1), 5.);
ad = ad * 2;
EXPECT_EQ(ad(1, 1), 10.);
}
TEST(xarray_adaptor, iterator_types)
{
using vec_type = std::vector<int>;
using array_type = xarray_adaptor<vec_type>;
using const_array_type = xarray_adaptor<const vec_type>;
using iterator = vec_type::iterator;
using const_iterator = vec_type::const_iterator;
test_iterator_types<array_type, iterator, const_iterator>();
test_iterator_types<const_array_type, const_iterator, const_iterator>();
}
}
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