mirror of
https://github.com/clementine-player/Clementine
synced 2025-01-07 07:41:54 +01:00
92 lines
2.8 KiB
C++
92 lines
2.8 KiB
C++
#include <gtest/gtest.h>
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#include <algorithm>
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#include <limits>
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#include "utils.h"
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using namespace std;
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using namespace Chromaprint;
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TEST(Utils, PrepareHammingWindow) {
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double window_ex[10] = { 0.08, 0.187619556165, 0.460121838273, 0.77, 0.972258605562, 0.972258605562, 0.77, 0.460121838273, 0.187619556165, 0.08};
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double window[10];
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PrepareHammingWindow(window, window + 10);
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for (int i = 0; i < 10; i++) {
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EXPECT_FLOAT_EQ(window_ex[i], window[i]);
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}
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}
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TEST(Utils, ApplyWindow1) {
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double window_ex[10] = { 0.08, 0.187619556165, 0.460121838273, 0.77, 0.972258605562, 0.972258605562, 0.77, 0.460121838273, 0.187619556165, 0.08};
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double window[10];
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short input[10];
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double output[10];
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PrepareHammingWindow(window, window + 10);
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fill(input, input + 10, numeric_limits<short>::max());
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double scale = 1.0 / numeric_limits<short>::max();
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ApplyWindow(input, window, output, 10, scale);
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for (int i = 0; i < 10; i++) {
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EXPECT_FLOAT_EQ(window_ex[i], output[i]);
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}
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}
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TEST(Utils, ApplyWindow2) {
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double window[10];
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short input[10];
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double output[10];
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PrepareHammingWindow(window, window + 10);
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fill(input, input + 10, 0);
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double scale = 1.0 / numeric_limits<short>::max();
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ApplyWindow(input, window, output, 10, scale);
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for (int i = 0; i < 10; i++) {
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EXPECT_FLOAT_EQ(0.0, output[i]);
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}
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}
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TEST(Utils, Sum) {
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double data[] = { 0.1, 0.2, 0.4, 1.0 };
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EXPECT_FLOAT_EQ(1.7, Sum(data, data + 4));
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}
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TEST(Utils, EuclideanNorm) {
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double data[] = { 0.1, 0.2, 0.4, 1.0 };
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EXPECT_FLOAT_EQ(1.1, EuclideanNorm(data, data + 4));
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}
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TEST(Utils, NormalizeVector) {
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double data[] = { 0.1, 0.2, 0.4, 1.0 };
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double normalized_data[] = { 0.090909, 0.181818, 0.363636, 0.909091 };
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NormalizeVector(data, data + 4, EuclideanNorm<double *>, 0.01);
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for (int i = 0; i < 4; i++) {
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EXPECT_NEAR(normalized_data[i], data[i], 1e-5) << "Wrong data at index " << i;
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}
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}
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TEST(Utils, NormalizeVectorNearZero) {
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double data[] = { 0.0, 0.001, 0.002, 0.003 };
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NormalizeVector(data, data + 4, EuclideanNorm<double *>, 0.01);
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for (int i = 0; i < 4; i++) {
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EXPECT_FLOAT_EQ(0.0, data[i]) << "Wrong data at index " << i;
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}
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}
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TEST(Utils, NormalizeVectorZero) {
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double data[] = { 0.0, 0.0, 0.0, 0.0 };
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NormalizeVector(data, data + 4, EuclideanNorm<double *>, 0.01);
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for (int i = 0; i < 4; i++) {
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EXPECT_FLOAT_EQ(0.0, data[i]) << "Wrong data at index " << i;
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}
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}
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TEST(Utils, UnsignedToSigned) {
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EXPECT_EQ(numeric_limits<int32_t>::max(), UnsignedToSigned(0x7FFFFFFFU));
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EXPECT_EQ(-1, UnsignedToSigned(0xFFFFFFFFU));
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EXPECT_EQ(-2, UnsignedToSigned(0xFFFFFFFEU));
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EXPECT_EQ(numeric_limits<int32_t>::min(), UnsignedToSigned(0x80000000U));
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EXPECT_EQ(numeric_limits<int32_t>::min() + 1, UnsignedToSigned(0x80000001U));
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}
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TEST(Utils, IsNaN) {
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EXPECT_FALSE(IsNaN(0.0));
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EXPECT_TRUE(IsNaN(sqrt(-1.0)));
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}
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