/***************************************************************************
 * 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/containers/xtensor.hpp"

#include "test_common.hpp"
#include "test_common_macros.hpp"

namespace xt
{
    using array_type = xarray;
    using tensor_type = xtensor;
    using array_shape = array_type::shape_type;
    using tensor_shape = tensor_type::shape_type;

    TEST(xtensor_semantic, tensor_plus_tensor)
    {
        tensor_shape s = {3, 2};
        tensor_type t1(s, 3.2);
        tensor_type t2(s, 2.5);
        tensor_type res = t1 + t2;
        EXPECT_EQ(res(0, 0), t1(0, 0) + t2(0, 0));
    }

    TEST(xtensor_semantic, tensor_plus_array)
    {
        tensor_shape s1 = {3, 2};
        tensor_type t1(s1, 3.2);
        array_shape s2 = {3, 2};
        array_type t2(s2, 2.5);
        tensor_type res = t1 + t2;
        EXPECT_EQ(res(0, 0), t1(0, 0) + t2(0, 0));
    }

    TEST(xtensor_semantic, array_plus_tensor)
    {
        tensor_shape s1 = {3, 2};
        tensor_type t1(s1, 3.2);
        array_shape s2 = {3, 2};
        array_type t2(s2, 2.5);
        array_type res = t1 + t2;
        EXPECT_EQ(res(0, 0), t1(0, 0) + t2(0, 0));
    }

    TEST(xtensor_semantic, tensor_cast)
    {
        using int8_tensor = xtensor;
        using int32_tensor = xtensor;
        using double_tensor = xtensor;

        int8_tensor i8t = {{int8_t(0), int8_t(1)}, {int8_t(2), int8_t(3)}, {int8_t(4), int8_t(5)}};

        int32_tensor i32t = {{int32_t(0), int32_t(1)}, {int8_t(2), int8_t(3)}, {int8_t(4), int8_t(5)}};

        double_tensor dt = {{0., 1.}, {2., 3.}, {4., 5.}};

        int32_tensor i32res = i8t;
        EXPECT_EQ(i32res, i32t);

        double_tensor dres = i32t;
        EXPECT_EQ(dres, dt);
    }

    TEST(xtensor_semantic, broadcasting_single_element)
    {
        xtensor t = xt::zeros({1, 1});
        EXPECT_EQ(t.backstrides().size(), 2u);
        EXPECT_EQ(t.backstrides()[0], 0u);
        EXPECT_EQ(t.backstrides()[1], 0u);
    }
}