/*
 * Copyright (c) 2017-2019 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to
 * deal in the Software without restriction, including without limitation the
 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
 * sell copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */

#include "arm_compute/runtime/NEON/functions/NEMinMaxLocation.h"
#include "tests/NEON/Accessor.h"
#include "tests/NEON/ArrayAccessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/framework/Macros.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/MinMaxLocationFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
TEST_SUITE(NEON)
TEST_SUITE(MinMaxLocation)

template <typename T>
using NEMinMaxLocationFixture = MinMaxLocationValidationFixture<Tensor, Accessor, Array<Coordinates2D>, ArrayAccessor<Coordinates2D>, NEMinMaxLocation, T>;

void validate_configuration(const Tensor &src, TensorShape shape)
{
    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);

    // Create output storage
    int32_t            min{};
    int32_t            max{};
    Coordinates2DArray min_loc(shape.total_size());
    Coordinates2DArray max_loc(shape.total_size());

    // Create and configure function
    NEMinMaxLocation min_max_loc;
    min_max_loc.configure(&src, &min, &max, &min_loc, &max_loc);

    // Validate padding
    const PaddingSize padding = PaddingCalculator(shape.x(), 1).required_padding();
    validate(src.info()->padding(), padding);
}

TEST_SUITE(U8)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::U8)), shape, data_type)
{
    // Create tensors
    Tensor src = create_tensor<Tensor>(shape, data_type);
    src.info()->set_format(Format::U8);

    validate_configuration(src, shape);
}

FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
                                                                                                              DataType::U8)))
{
    validate_min_max_loc(_target, _reference);
}

FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
                                                                                                            DataType::U8)))
{
    validate_min_max_loc(_target, _reference);
}

TEST_SUITE_END() // U8

TEST_SUITE(S16)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::S16)), shape, data_type)
{
    // Create tensors
    Tensor src = create_tensor<Tensor>(shape, data_type);
    src.info()->set_format(Format::S16);

    validate_configuration(src, shape);
}

FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
                                                                                                              DataType::S16)))
{
    validate_min_max_loc(_target, _reference);
}

FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
                                                                                                            DataType::S16)))
{
    validate_min_max_loc(_target, _reference);
}

TEST_SUITE_END() // S16

TEST_SUITE(Float)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::F32)), shape, data_type)
{
    // Create tensors
    Tensor src = create_tensor<Tensor>(shape, data_type);
    src.info()->set_format(Format::F32);

    validate_configuration(src, shape);
}

FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
                                                                                                            DataType::F32)))
{
    validate_min_max_loc(_target, _reference);
}

FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
                                                                                                          DataType::F32)))
{
    validate_min_max_loc(_target, _reference);
}

TEST_SUITE_END() // F32

TEST_SUITE_END() // MinMaxLocation
TEST_SUITE_END() // NEON
} // namespace validation
} // namespace test
} // namespace arm_compute
