Vec3/tests/unit_tests/vec_test.cpp

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#include "vec3.h"
#include <cmath>
#include <gtest/gtest.h>
#include <limits>
// Test fixture for Vec3 tests
class Vec3Test : public ::testing::Test {
protected:
// Test vectors that will be used across multiple tests
Vec3<int> int_vec1, int_vec2;
Vec3<float> float_vec1, float_vec2;
Vec3<double> double_vec1, double_vec2;
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void SetUp() override {
// Initialize test vectors
int_vec1 = {1, 2, 3};
int_vec2 = {4, 5, 6};
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float_vec1 = {1.5f, 2.5f, 3.5f};
float_vec2 = {4.5f, 5.5f, 6.5f};
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double_vec1 = {1.5, 2.5, 3.5};
double_vec2 = {4.5, 5.5, 6.5};
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}
};
// Test vector addition
TEST_F(Vec3Test, Addition) {
// Test integer vectors
auto int_result = int_vec1 + int_vec2;
EXPECT_EQ(int_result.x, 5);
EXPECT_EQ(int_result.y, 7);
EXPECT_EQ(int_result.z, 9);
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// Test float vectors
auto float_result = float_vec1 + float_vec2;
EXPECT_FLOAT_EQ(float_result.x, 6.0f);
EXPECT_FLOAT_EQ(float_result.y, 8.0f);
EXPECT_FLOAT_EQ(float_result.z, 10.0f);
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// Test double vectors
auto double_result = double_vec1 + double_vec2;
EXPECT_DOUBLE_EQ(double_result.x, 6.0);
EXPECT_DOUBLE_EQ(double_result.y, 8.0);
EXPECT_DOUBLE_EQ(double_result.z, 10.0);
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}
// Test vector subtraction
TEST_F(Vec3Test, Subtraction) {
// Test integer vectors
auto int_result = int_vec2 - int_vec1;
EXPECT_EQ(int_result.x, 3);
EXPECT_EQ(int_result.y, 3);
EXPECT_EQ(int_result.z, 3);
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// Test float vectors
auto float_result = float_vec2 - float_vec1;
EXPECT_FLOAT_EQ(float_result.x, 3.0f);
EXPECT_FLOAT_EQ(float_result.y, 3.0f);
EXPECT_FLOAT_EQ(float_result.z, 3.0f);
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// Test double vectors
auto double_result = double_vec2 - double_vec1;
EXPECT_DOUBLE_EQ(double_result.x, 3.0);
EXPECT_DOUBLE_EQ(double_result.y, 3.0);
EXPECT_DOUBLE_EQ(double_result.z, 3.0);
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}
// Test vector scaling
TEST_F(Vec3Test, Scale) {
// Test integer scaling
Vec3<int> int_vec_scaled = int_vec1;
int_vec_scaled.scale(2);
EXPECT_EQ(int_vec_scaled.x, 2);
EXPECT_EQ(int_vec_scaled.y, 4);
EXPECT_EQ(int_vec_scaled.z, 6);
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// Test float scaling
Vec3<float> float_vec_scaled = float_vec1;
float_vec_scaled.scale(2.0f);
EXPECT_FLOAT_EQ(float_vec_scaled.x, 3.0f);
EXPECT_FLOAT_EQ(float_vec_scaled.y, 5.0f);
EXPECT_FLOAT_EQ(float_vec_scaled.z, 7.0f);
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// Test double scaling
Vec3<double> double_vec_scaled = double_vec1;
double_vec_scaled.scale(2.0);
EXPECT_DOUBLE_EQ(double_vec_scaled.x, 3.0);
EXPECT_DOUBLE_EQ(double_vec_scaled.y, 5.0);
EXPECT_DOUBLE_EQ(double_vec_scaled.z, 7.0);
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// Test scaling by zero
Vec3<float> zero_scaled = float_vec1;
zero_scaled.scale(0.0f);
EXPECT_FLOAT_EQ(zero_scaled.x, 0.0f);
EXPECT_FLOAT_EQ(zero_scaled.y, 0.0f);
EXPECT_FLOAT_EQ(zero_scaled.z, 0.0f);
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// Test scaling by negative number
Vec3<int> neg_scaled = int_vec1;
neg_scaled.scale(-1);
EXPECT_EQ(neg_scaled.x, -1);
EXPECT_EQ(neg_scaled.y, -2);
EXPECT_EQ(neg_scaled.z, -3);
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}
// Test dot product
TEST_F(Vec3Test, DotProduct) {
// Test integer dot product
int int_dot = int_vec1.dot(int_vec2);
EXPECT_EQ(int_dot, 32); // 1*4 + 2*5 + 3*6 = 4 + 10 + 18 = 32
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// Test float dot product
float float_dot = float_vec1.dot(float_vec2);
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EXPECT_FLOAT_EQ(
float_dot,
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43.25f); // 1.5*4.5 + 2.5*5.5 + 3.5*6.5 = 6.75 + 13.75 + 22.75 = 43.25
// Test double dot product
double double_dot = double_vec1.dot(double_vec2);
EXPECT_DOUBLE_EQ(double_dot, 43.25); // Same calculation as float
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// Test dot product with self (should equal squared length)
int self_dot = int_vec1.dot(int_vec1);
EXPECT_EQ(self_dot, 14); // 1*1 + 2*2 + 3*3 = 1 + 4 + 9 = 14
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// Test dot product with zero vector
Vec3<int> zero_vec = {0, 0, 0};
EXPECT_EQ(int_vec1.dot(zero_vec), 0);
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}
// Test cross product
TEST_F(Vec3Test, CrossProduct) {
// Test integer cross product
auto int_cross = int_vec1.cross(int_vec2);
EXPECT_EQ(int_cross.x, -3); // (2*6 - 3*5) = 12 - 15 = -3
EXPECT_EQ(int_cross.y, 6); // (3*4 - 1*6) = 12 - 6 = 6
EXPECT_EQ(int_cross.z, -3); // (1*5 - 2*4) = 5 - 8 = -3
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// Test float cross product
auto float_cross = float_vec1.cross(float_vec2);
EXPECT_FLOAT_EQ(float_cross.x,
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-3.0f); // (2.5*6.5 - 3.5*5.5) = 16.25 - 19.25 = -3
EXPECT_FLOAT_EQ(float_cross.y,
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6.0f); // (3.5*4.5 - 1.5*6.5) = 15.75 - 9.75 = 6
EXPECT_FLOAT_EQ(float_cross.z,
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-3.0f); // (1.5*5.5 - 2.5*4.5) = 8.25 - 11.25 = -3
// Test double cross product
auto double_cross = double_vec1.cross(double_vec2);
EXPECT_DOUBLE_EQ(double_cross.x, -3.0);
EXPECT_DOUBLE_EQ(double_cross.y, 6.0);
EXPECT_DOUBLE_EQ(double_cross.z, -3.0);
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// Test cross product with self (should be zero)
auto self_cross = int_vec1.cross(int_vec1);
EXPECT_EQ(self_cross.x, 0);
EXPECT_EQ(self_cross.y, 0);
EXPECT_EQ(self_cross.z, 0);
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// Test cross product of standard basis vectors (i × j = k)
Vec3<int> vec_i = {1, 0, 0};
Vec3<int> vec_j = {0, 1, 0};
Vec3<int> vec_k = {0, 0, 1};
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auto i_cross_j = vec_i.cross(vec_j);
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EXPECT_EQ(i_cross_j.x, 0);
EXPECT_EQ(i_cross_j.y, 0);
EXPECT_EQ(i_cross_j.z, 1);
auto j_cross_k = vec_j.cross(vec_k);
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EXPECT_EQ(j_cross_k.x, 1);
EXPECT_EQ(j_cross_k.y, 0);
EXPECT_EQ(j_cross_k.z, 0);
auto k_cross_i = vec_k.cross(vec_i);
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EXPECT_EQ(k_cross_i.x, 0);
EXPECT_EQ(k_cross_i.y, 1);
EXPECT_EQ(k_cross_i.z, 0);
}
// Test with edge cases
TEST_F(Vec3Test, EdgeCases) {
// Test with max values
Vec3<int> max_vec = {std::numeric_limits<int>::max(),
std::numeric_limits<int>::max(),
std::numeric_limits<int>::max()};
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// Addition with max values may overflow, but we want to test the operation
// works
auto max_addition = max_vec + int_vec1;
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// Test with min values
Vec3<int> min_vec = {std::numeric_limits<int>::min(),
std::numeric_limits<int>::min(),
std::numeric_limits<int>::min()};
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// Subtraction with min values may underflow, but we want to test the
// operation works
auto min_subtraction = min_vec - int_vec1;
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// Test with mixed values
Vec3<double> mixed_vec1 = {0.0, -1.0,
std::numeric_limits<double>::infinity()};
Vec3<double> mixed_vec2 = {-0.0, 1.0,
-std::numeric_limits<double>::infinity()};
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auto mixed_addition = mixed_vec1 + mixed_vec2;
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// 0.0 + (-0.0) = 0.0
EXPECT_DOUBLE_EQ(mixed_addition.x, 0.0);
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// -1.0 + 1.0 = 0.0
EXPECT_DOUBLE_EQ(mixed_addition.y, 0.0);
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// inf + (-inf) = NaN
EXPECT_TRUE(std::isnan(mixed_addition.z));
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// Test with NaN
Vec3<double> nan_vec = {std::numeric_limits<double>::quiet_NaN(),
std::numeric_limits<double>::quiet_NaN(),
std::numeric_limits<double>::quiet_NaN()};
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// Any operation with NaN should result in NaN
auto nan_result = double_vec1 + nan_vec;
EXPECT_TRUE(std::isnan(nan_result.x));
EXPECT_TRUE(std::isnan(nan_result.y));
EXPECT_TRUE(std::isnan(nan_result.z));
}
// Test squared_norm2 and norm2 methods
TEST_F(Vec3Test, NormMethods) {
// Test squared_norm2 for integer vector
EXPECT_DOUBLE_EQ(int_vec1.squared_norm2(), 14.0); // 1*1 + 2*2 + 3*3 = 14
// Test norm2 for integer vector
EXPECT_DOUBLE_EQ(int_vec1.norm2(), std::sqrt(14.0)); // √14 ≈ 3.741657...
// Test squared_norm2 for float vector
EXPECT_DOUBLE_EQ(
float_vec1.squared_norm2(),
20.75); // 1.5*1.5 + 2.5*2.5 + 3.5*3.5 = 2.25 + 6.25 + 12.25 = 20.75
// Test norm2 for float vector
EXPECT_DOUBLE_EQ(float_vec1.norm2(), std::sqrt(20.75)); // √20.75 ≈ 4.5552...
// Test squared_norm2 for double vector
EXPECT_DOUBLE_EQ(double_vec1.squared_norm2(),
20.75); // Same as float calculation
// Test norm2 for double vector
EXPECT_DOUBLE_EQ(double_vec1.norm2(), std::sqrt(20.75));
// Test with zero vector
Vec3<int> zero_vec = {0, 0, 0};
EXPECT_DOUBLE_EQ(zero_vec.squared_norm2(), 0.0);
EXPECT_DOUBLE_EQ(zero_vec.norm2(), 0.0);
// Test with unit vectors
Vec3<double> unit_x = {1.0, 0.0, 0.0};
Vec3<double> unit_y = {0.0, 1.0, 0.0};
Vec3<double> unit_z = {0.0, 0.0, 1.0};
EXPECT_DOUBLE_EQ(unit_x.squared_norm2(), 1.0);
EXPECT_DOUBLE_EQ(unit_x.norm2(), 1.0);
EXPECT_DOUBLE_EQ(unit_y.squared_norm2(), 1.0);
EXPECT_DOUBLE_EQ(unit_y.norm2(), 1.0);
EXPECT_DOUBLE_EQ(unit_z.squared_norm2(), 1.0);
EXPECT_DOUBLE_EQ(unit_z.norm2(), 1.0);
// Test with negative components
Vec3<int> neg_vec = {-1, -2, -3};
EXPECT_DOUBLE_EQ(neg_vec.squared_norm2(), 14.0); // (-1)² + (-2)² + (-3)² = 14
EXPECT_DOUBLE_EQ(neg_vec.norm2(), std::sqrt(14.0));
}
// Test norm methods with special values
TEST_F(Vec3Test, NormEdgeCases) {
// Test with infinity
Vec3<double> inf_vec = {std::numeric_limits<double>::infinity(), 0.0, 0.0};
EXPECT_TRUE(std::isinf(inf_vec.squared_norm2()));
EXPECT_TRUE(std::isinf(inf_vec.norm2()));
// Test with large values that might cause overflow in intermediate
// calculations
double large_val = std::sqrt(std::numeric_limits<double>::max()) / 2.0;
Vec3<double> large_vec = {large_val, large_val, large_val};
// The squared norm should be approximately 3 * large_val²
double expected_squared = 3.0 * large_val * large_val;
EXPECT_DOUBLE_EQ(large_vec.squared_norm2(), expected_squared);
// The norm should be √(3) * large_val
double expected_norm = std::sqrt(3.0) * large_val;
EXPECT_DOUBLE_EQ(large_vec.norm2(), expected_norm);
// Test with NaN values
Vec3<double> nan_vec = {std::numeric_limits<double>::quiet_NaN(), 0.0, 0.0};
EXPECT_TRUE(std::isnan(nan_vec.squared_norm2()));
EXPECT_TRUE(std::isnan(nan_vec.norm2()));
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}
// Main function that runs the tests
int main(int argc, char **argv) {
::testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}