/*
 * Copyright (c) 2016, Alliance for Open Media. All rights reserved
 *
 * This source code is subject to the terms of the BSD 2 Clause License and
 * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
 * was not distributed with this source code in the LICENSE file, you can
 * obtain it at https://www.aomedia.org/license/software-license. If the
 * Alliance for Open Media Patent License 1.0 was not distributed with this
 * source code in the PATENTS file, you can obtain it at
 * https://www.aomedia.org/license/patent-license.
 */

#include <stdlib.h>
#include "gtest/gtest.h"
#include "aom_dsp_rtcd.h"
#include "EbDefinitions.h"
#include "random.h"
#include "util.h"
#include "EbUnitTestUtility.h"
#include "acm_random.h"
#include "corner_match.h"

using libaom_test::ACMRandom;

namespace {

typedef double (*ComputeCrossCorrFunc)(unsigned char *im1, int stride1, int x1,
                                       int y1, unsigned char *im2, int stride2,
                                       int x2, int y2);

using ::testing::make_tuple;
using ::testing::tuple;
typedef tuple<int, ComputeCrossCorrFunc> CornerMatchParam;

class AV1CornerMatchTest : public ::testing::TestWithParam<CornerMatchParam> {
  public:
    virtual ~AV1CornerMatchTest();
    virtual void SetUp();

    virtual void TearDown();

  protected:
    void RunCheckOutput(int run_times);
    ComputeCrossCorrFunc target_func;

    libaom_test::ACMRandom rnd_;
};

AV1CornerMatchTest::~AV1CornerMatchTest() {
}
void AV1CornerMatchTest::SetUp() {
    rnd_.Reset(ACMRandom::DeterministicSeed());
    target_func = TEST_GET_PARAM(1);
}
void AV1CornerMatchTest::TearDown() {
}

void AV1CornerMatchTest::RunCheckOutput(int run_times) {
    const int w = 128, h = 128;
    const int num_iters = 10000;
    int i, j;
    uint64_t start_time_seconds, start_time_useconds;
    uint64_t middle_time_seconds, middle_time_useconds;
    uint64_t finish_time_seconds, finish_time_useconds;
    double time_c = 0, time_o = 0, time;

    uint8_t *input1 = new uint8_t[w * h];
    uint8_t *input2 = new uint8_t[w * h];

    // Test the two extreme cases:
    // i) Random data, should have correlation close to 0
    // ii) Linearly related data + noise, should have correlation close to 1
    int mode = TEST_GET_PARAM(0);
    if (mode == 0) {
        for (i = 0; i < h; ++i)
            for (j = 0; j < w; ++j) {
                input1[i * w + j] = rnd_.Rand8();
                input2[i * w + j] = rnd_.Rand8();
            }
    } else if (mode == 1) {
        for (i = 0; i < h; ++i)
            for (j = 0; j < w; ++j) {
                int v = rnd_.Rand8();
                input1[i * w + j] = v;
                input2[i * w + j] = (v / 2) + (rnd_.Rand8() & 15);
            }
    }

    for (i = 0; i < num_iters; ++i) {
        int x1 = MATCH_SZ_BY2 + rnd_.PseudoUniform(w - 2 * MATCH_SZ_BY2);
        int y1 = MATCH_SZ_BY2 + rnd_.PseudoUniform(h - 2 * MATCH_SZ_BY2);
        int x2 = MATCH_SZ_BY2 + rnd_.PseudoUniform(w - 2 * MATCH_SZ_BY2);
        int y2 = MATCH_SZ_BY2 + rnd_.PseudoUniform(h - 2 * MATCH_SZ_BY2);

        double res_c = svt_av1_compute_cross_correlation_c(
            input1, w, x1, y1, input2, w, x2, y2);
        double res_simd = target_func(input1, w, x1, y1, input2, w, x2, y2);

        if (run_times > 1) {
            svt_av1_get_time(&start_time_seconds, &start_time_useconds);
            for (j = 0; j < run_times; j++) {
                svt_av1_compute_cross_correlation_c(
                    input1, w, x1, y1, input2, w, x2, y2);
            }
            svt_av1_get_time(&middle_time_seconds, &middle_time_useconds);

            for (j = 0; j < run_times; j++) {
                target_func(input1, w, x1, y1, input2, w, x2, y2);
            }

            svt_av1_get_time(&finish_time_seconds, &finish_time_useconds);

            time =
                svt_av1_compute_overall_elapsed_time_ms(start_time_seconds,
                                                        start_time_useconds,
                                                        middle_time_seconds,
                                                        middle_time_useconds);
            time_c += time;
            time =
                svt_av1_compute_overall_elapsed_time_ms(middle_time_seconds,
                                                        middle_time_useconds,
                                                        finish_time_seconds,
                                                        finish_time_useconds);
            time_o += time;

        } else {
            ASSERT_EQ(res_simd, res_c);
        }
    }

    if (run_times > 1) {
        printf("Average Nanoseconds per Function Call\n");
        printf("    svt_av1_compute_cross_correlation_c : %6.2f\n",
               1000000 * time_c / run_times * num_iters);
        printf(
            "    av1_compute_cross_correlation (AVX2) : %6.2f   (Comparison: "
            "%5.2fx)\n",
            1000000 * time_o / run_times * num_iters,
            time_c / time_o);
    }

    delete[] input1;
    delete[] input2;
}

TEST_P(AV1CornerMatchTest, CheckOutput) {
    RunCheckOutput(1);
}
TEST_P(AV1CornerMatchTest, DISABLED_Speed) {
    RunCheckOutput(1000);
}

INSTANTIATE_TEST_CASE_P(
    AV1CornerMatchTest, AV1CornerMatchTest,
    ::testing::Values(make_tuple(0, &svt_av1_compute_cross_correlation_sse4_1),
                      make_tuple(1, &svt_av1_compute_cross_correlation_sse4_1),
                      make_tuple(0, &svt_av1_compute_cross_correlation_avx2),
                      make_tuple(1, &svt_av1_compute_cross_correlation_avx2)));

}  // namespace
