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#include <gtest/gtest.h>
#include <algorithm>
#include <limits>
#include "utils.h"
#include "test_utils.h"
using namespace chromaprint;
TEST(Utils, PrepareHammingWindow) {
double window_ex[10] = { 0.08, 0.187619556165, 0.460121838273, 0.77, 0.972258605562, 0.972258605562, 0.77, 0.460121838273, 0.187619556165, 0.08};
double window[10];
PrepareHammingWindow(window, window + 10);
for (int i = 0; i < 10; i++) {
EXPECT_FLOAT_EQ(window_ex[i], window[i]);
}
}
TEST(Utils, ApplyWindow) {
double window_ex[10] = { 0.08, 0.187619556165, 0.460121838273, 0.77, 0.972258605562, 0.972258605562, 0.77, 0.460121838273, 0.187619556165, 0.08};
double window[10];
int16_t input[10];
double output[10];
PrepareHammingWindow(window, window + 10, 1.0 / INT16_MAX);
std::fill(input, input + 10, INT16_MAX);
auto window_ptr = window + 0;
auto output_ptr = output + 0;
ApplyWindow(input, input + 10, window_ptr, output_ptr);
ASSERT_EQ(window + 10, window_ptr);
ASSERT_EQ(output + 10, output_ptr);
for (int i = 0; i < 10; i++) {
EXPECT_FLOAT_EQ(window_ex[i], output[i]);
}
}
TEST(Utils, Sum) {
double data[] = { 0.1, 0.2, 0.4, 1.0 };
EXPECT_FLOAT_EQ(1.7, Sum(data, data + 4));
}
TEST(Utils, EuclideanNorm) {
double data[] = { 0.1, 0.2, 0.4, 1.0 };
EXPECT_FLOAT_EQ(1.1, EuclideanNorm(data, data + 4));
}
TEST(Utils, NormalizeVector) {
double data[] = { 0.1, 0.2, 0.4, 1.0 };
double normalized_data[] = { 0.090909, 0.181818, 0.363636, 0.909091 };
NormalizeVector(data, data + 4, EuclideanNorm<double *>, 0.01);
for (int i = 0; i < 4; i++) {
EXPECT_NEAR(normalized_data[i], data[i], 1e-5) << "Wrong data at index " << i;
}
}
TEST(Utils, NormalizeVectorNearZero) {
double data[] = { 0.0, 0.001, 0.002, 0.003 };
NormalizeVector(data, data + 4, EuclideanNorm<double *>, 0.01);
for (int i = 0; i < 4; i++) {
EXPECT_FLOAT_EQ(0.0, data[i]) << "Wrong data at index " << i;
}
}
TEST(Utils, NormalizeVectorZero) {
double data[] = { 0.0, 0.0, 0.0, 0.0 };
NormalizeVector(data, data + 4, EuclideanNorm<double *>, 0.01);
for (int i = 0; i < 4; i++) {
EXPECT_FLOAT_EQ(0.0, data[i]) << "Wrong data at index " << i;
}
}
TEST(Utils, IsNaN) {
EXPECT_FALSE(IsNaN(0.0));
EXPECT_TRUE(IsNaN(sqrt(-1.0)));
}
TEST(Utils, CountSetBits32) {
EXPECT_EQ(0, CountSetBits(0x00U));
EXPECT_EQ(8, CountSetBits(0xFFU));
EXPECT_EQ(16, CountSetBits(0xFFFFU));
EXPECT_EQ(24, CountSetBits(0xFFFFFFU));
EXPECT_EQ(32, CountSetBits(0xFFFFFFFFU));
EXPECT_EQ(4, CountSetBits(0x01010101U));
}
TEST(Utils, CountSetBits64) {
EXPECT_EQ(0, CountSetBits(0x00U));
EXPECT_EQ(8, CountSetBits(0xFFU));
EXPECT_EQ(16, CountSetBits(0xFFFFU));
EXPECT_EQ(24, CountSetBits(0xFFFFFFU));
EXPECT_EQ(32, CountSetBits(0xFFFFFFFFU));
EXPECT_EQ(40, CountSetBits(0xFFFFFFFFFFU));
EXPECT_EQ(48, CountSetBits(0xFFFFFFFFFFFFU));
EXPECT_EQ(56, CountSetBits(0xFFFFFFFFFFFFFFU));
EXPECT_EQ(64, CountSetBits(0xFFFFFFFFFFFFFFFFU));
EXPECT_EQ(8, CountSetBits(0x0101010101010101U));
}
TEST(Utils, LoadAudioFile) {
std::vector<short> data = LoadAudioFile("data/test_mono_44100.raw");
ASSERT_EQ(data.size(), 176400/2);
EXPECT_EQ(data[1000], 0);
EXPECT_EQ(data[2000], 107);
EXPECT_EQ(data[3000], 128);
}
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