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Copy pathtest_basic.cpp
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128 lines (108 loc) · 3.97 KB
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#include <cmath>
#include <cstddef>
#include <cstdint>
#include <cstring>
#include <iostream>
#include <vector>
static int tests_run = 0;
static int tests_passed = 0;
void check(bool condition, const char* name) {
++tests_run;
if (condition) {
++tests_passed;
std::cout << " PASS: " << name << "\n";
} else {
std::cerr << " FAIL: " << name << "\n";
}
}
// Simplified L2 distance (naive version from distances.h)
float l2_distance(const void* pVect1, const void* pVect2, size_t dim) {
float* a = (float*)pVect1;
float* b = (float*)pVect2;
float result = 0;
for (size_t i = 0; i < dim; i++) {
float diff = a[i] - b[i];
result += diff * diff;
}
return result;
}
// Simplified InnerProduct distance (naive version from distances.h)
float inner_product_distance(const void* pVect1, const void* pVect2, size_t dim) {
float* a = (float*)pVect1;
float* b = (float*)pVect2;
float dot = 0;
for (size_t i = 0; i < dim; i++) {
dot += a[i] * b[i];
}
return 1.0f - dot;
}
void test_l2_distance_identical() {
std::cout << "[L2 Distance - Identical Vectors]\n";
std::vector<float> a = {1.0f, 2.0f, 3.0f};
std::vector<float> b = {1.0f, 2.0f, 3.0f};
float dist = l2_distance(a.data(), b.data(), 3);
check(dist == 0.0f, "identical vectors: distance = 0");
}
void test_l2_distance_known() {
std::cout << "[L2 Distance - Known Values]\n";
std::vector<float> a = {3.0f, 4.0f, 0.0f};
std::vector<float> b = {0.0f, 0.0f, 0.0f};
float dist = l2_distance(a.data(), b.data(), 3);
// (3^2 + 4^2 + 0^2) = 9 + 16 = 25
check(dist == 25.0f, "L2( (3,4,0), (0,0,0) ) = 25");
}
void test_l2_distance_256() {
std::cout << "[L2 Distance - Euclidean Length]\n";
std::vector<float> a = {3.0f, 4.0f, 0.0f};
std::vector<float> b = {0.0f, 0.0f, 0.0f};
float dist = l2_distance(a.data(), b.data(), 3);
sqrt(dist); // would be 5.0
check(dist == 25.0f, "L2 = 25 (sqrt = 5.0)");
}
void test_inner_product() {
std::cout << "[Inner Product Distance]\n";
// [1, 0, 0, 0] · [1, 0, 0, 0] = 1, so 1 - 1 = 0
std::vector<float> a = {1.0f, 0.0f, 0.0f, 0.0f};
std::vector<float> b = {1.0f, 0.0f, 0.0f, 0.0f};
float dist = inner_product_distance(a.data(), b.data(), 4);
check(dist == 0.0f, "inner_product identical basis = 0");
// [1, 1, 1, 1] · [1, 1, 1, 1] = 4, so 1 - 4 = -3
std::vector<float> c = {1.0f, 1.0f, 1.0f, 1.0f};
std::vector<float> d = {1.0f, 1.0f, 1.0f, 1.0f};
float dist2 = inner_product_distance(c.data(), d.data(), 4);
check(dist2 == -3.0f, "inner_product [1,1,1,1] = -3");
// [1, 0, 0, 0] · [0, 0, 0, 1] = 0, so 1 - 0 = 1
std::vector<float> e = {1.0f, 0.0f, 0.0f, 0.0f};
std::vector<float> f = {0.0f, 0.0f, 0.0f, 1.0f};
float dist3 = inner_product_distance(e.data(), f.data(), 4);
check(dist3 == 1.0f, "inner_product orthogonal = 1");
}
void test_sift_like_vectors() {
std::cout << "[SIFT-like Vectors]\n";
// SIFT1M uses 128-dim vectors, L2 distance
std::vector<float> a(128, 0.0f);
std::vector<float> b(128, 0.0f);
std::vector<float> c(128, 0.0f);
// a and b identical
check(l2_distance(a.data(), b.data(), 128) == 0.0f, "128-d identical: L2 = 0");
// c differs only in first dimension
c[0] = 1.0f;
check(l2_distance(b.data(), c.data(), 128) == 1.0f, "128-d diff by 1: L2 = 1");
// a and c same
check(l2_distance(a.data(), c.data(), 128) == 1.0f, "128-d a vs c: L2 = 1");
}
int main() {
std::cout << "=== DEG Unit Tests (DistantFunctions) ===\n\n";
test_l2_distance_identical();
test_l2_distance_known();
test_l2_distance_256();
test_inner_product();
test_sift_like_vectors();
std::cout << "\n=== Results: " << tests_passed << "/" << tests_run << " passed ===\n";
if (tests_passed < tests_run) {
std::cerr << "FAILED!\n";
return 1;
}
std::cout << "ALL TESTS PASSED\n";
return 0;
}