Add more vector types, functions, and tests

CMakeLists.txt

@@ -17,6 +17,8 @@ endif()
 
 project(DraconicEngine LANGUAGES C CXX)
 
+set(CMAKE_CXX_MODULE_STD "libc++")
+
 list(APPEND CMAKE_MODULE_PATH "${PROJECT_SOURCE_DIR}/cmake")
 
 include(CTest)

engine/native/core/math/constants.cppm

@@ -1,9 +1,7 @@
 module;
 
-#include <concepts>
-#include <cstdint>
-#include <limits>
 #include <numbers>
+#include <limits>
 
 export module core.math.constants;
 import core.defs;
@@ -12,25 +10,26 @@ export namespace draco::math {
     // Limit the depth of recursive algorithms
     constexpr int MAX_RECURSIONS = 100;
 
-    constexpr double SQRT2 = std::numbers::sqrt2_v<double>;
-    constexpr double SQRT3 = std::numbers::sqrt3_v<double>;
-    constexpr double SQRT12 = 1. / SQRT2;
-    constexpr double SQRT13 = std::numbers::inv_sqrt3_v<double>;
-    constexpr double LN2 = std::numbers::ln2_v<double>;
-    constexpr double LN10 = std::numbers::ln10_v<double>;
-    constexpr double PI = std::numbers::pi_v<double>;
-    constexpr double TAU = 2. * PI;
-    constexpr double E = std::numbers::e_v<double>;
-    constexpr double INF = std::numeric_limits<double>::infinity();
-    constexpr double NaN = std::numeric_limits<double>::quiet_NaN();
-    constexpr double DB_CONVERSION_GAIN = 8.6858896380650365530225783783321;
-    constexpr double GAIN_CONVERSION_DB = 0.11512925464970228420089957273422;
-    constexpr double UINT32_MAX_D = 1. / std::numeric_limits<uint32_t>::max();
-    constexpr float  UINT32_MAX_F = 1.f / std::numeric_limits<uint32_t>::max();
+    constexpr float SQRT2 = std::numbers::sqrt2_v<float>;
+    constexpr float SQRT3 = std::numbers::sqrt3_v<float>;
+    constexpr float SQRT12 = 1. / SQRT2;
+    constexpr float SQRT13 = std::numbers::inv_sqrt3_v<float>;
+    constexpr float LN2 = std::numbers::ln2_v<float>;
+    constexpr float LN10 = std::numbers::ln10_v<float>;
+    constexpr float PI = std::numbers::pi_v<float>;
+    constexpr float PI2 = PI * .5;
+    constexpr float TAU = 2. * PI;
+    constexpr float E = std::numbers::e_v<float>;
+    constexpr float INF = std::numeric_limits<float>::infinity();
+    constexpr float NaN = std::numeric_limits<float>::quiet_NaN();
+    constexpr float DB_CONVERSION_GAIN = 8.6858896380650365530225783783321;
+    constexpr float GAIN_CONVERSION_DB = 0.11512925464970228420089957273422;
+    constexpr float UINT32_MAX_F = 1.f / std::numeric_limits<uint32_t>::max();
+    constexpr float DECIMAL_LIMIT_F = 8388608.0f;
 
-    template<std::floating_point T> constexpr T CMP_EPSILON = T{0.000001};
-    template<std::floating_point T> constexpr T CMP_EPSILON2 = CMP_EPSILON<T> * CMP_EPSILON<T>;
+    constexpr float CMP_EPSILON = 0.000001f;
+    constexpr float CMP_EPSILON2 = CMP_EPSILON * CMP_EPSILON;
 
-    template<std::floating_point T> constexpr T CMP_NORMALIZE_TOLERANCE = T{0.000001};
-    template<std::floating_point T> constexpr T CMP_POINT_IN_PLANE_EPSILON = T{0.00001};
+    constexpr float CMP_NORMALIZE_TOLERANCE = 0.000001f;
+    constexpr float CMP_POINT_IN_PLANE_EPSILON = 0.00001f;
 }

engine/native/core/math/functions.cppm

@@ -0,0 +1,207 @@
+module;
+
+#include <numbers>
+#include <cmath>
+#include <concepts>
+#include <limits>
+
+export module core.math.functions;
+import core.math.constants;
+import core.defs;
+
+export namespace draco::math {
+    template <arithmetic T>
+    constexpr T sqr(T x) noexcept { return x*x; }
+
+    template <std::floating_point T>
+    [[nodiscard]] constexpr bool is_nan(T val) noexcept {
+        // Only NaN does not equal itself.
+        return val != val;
+    }
+
+    template <std::floating_point T>
+    [[nodiscard]] constexpr bool is_inf(T val) noexcept {
+        return std::isinf(val);
+    }
+
+    template <std::floating_point T>
+    [[nodiscard]] constexpr bool is_finite(T val) noexcept {
+        return std::isfinite(val);
+    }
+
+    template <arithmetic T>
+    constexpr T abs(T value) noexcept {
+        // Manually compute abs for signed types.
+        // Also avoids potential int8_t -> int issues.
+        if constexpr (std::floating_point<T>) {
+            return value < T{0} ? -value : value;
+        } else if constexpr (std::signed_integral<T>) {
+            if (value == std::numeric_limits<T>::min()) {
+                return std::numeric_limits<T>::max(); // define saturating behavior explicitly
+            }
+            return value < T{0} ? -value : value;
+        } else {
+            // unsigned is always positive! :^)
+            return value;
+        }
+    }
+
+	template <arithmetic T>
+	constexpr T sign(T value) noexcept {
+        if constexpr (std::floating_point<T>) {
+			if (value != value) {
+				return value;
+			} else if (value) {
+            	return value < T{0} ? T{-1} : T{1};
+			}
+			return T{0};
+        } else if constexpr (std::signed_integral<T>) {
+            if (value) {
+            	return value < T{0} ? T{-1} : T{1};
+            }
+			return T{0};
+        } else {
+            return T{value != T{0}};
+        }
+	}
+
+	constexpr float floor(float value) noexcept {
+		if consteval {
+			if (value != value || abs(value) >= DECIMAL_LIMIT_F) {
+				return value;
+			}
+			const float truncated = static_cast<int>(value);
+			return truncated - (value < truncated);
+		}
+		return std::floor(value);
+	}
+
+	constexpr float ceil(float value) noexcept {
+		if consteval {
+			return -floor(-value);
+		}
+		return std::ceil(value);
+	}
+
+	constexpr float trunc(float value) noexcept {
+		if consteval {
+			if (value != value || abs(value) >= DECIMAL_LIMIT_F) {
+				return value;
+			}
+			return static_cast<int>(value);
+		}
+		return std::trunc(value);
+	}
+
+	constexpr float round(float value) noexcept {
+		if consteval {
+			const float s = sign(value);
+			return s * floor(s * value + 0.5f);
+		}
+		return std::round(value);
+	}
+
+    template <std::floating_point T>
+    constexpr T deg_to_rad(T y) noexcept {
+        return y * (T{PI} / T{180.});
+    }
+
+    template <std::floating_point T>
+    constexpr T rad_to_deg(T y) noexcept {
+        return y * (T{180.} / T{PI});
+    }
+
+    template <std::floating_point T>
+    T pow(T x, T y) {
+        return static_cast<T>(std::pow(x, y));
+    }
+
+    template <std::floating_point T>
+    constexpr T lerp(T from, T to, T weight) noexcept {
+        return std::lerp(from, to, weight);
+    }
+
+    template <std::floating_point T>
+    constexpr T cubic_interpolate(T from, T to, T before, T after, T weight) noexcept {
+        // weight squared.
+        T w2 = weight * weight;
+        // weight cubed.
+        T w3 = weight * w2;
+
+        // calculate coefficients.
+        T a = -before + to;
+        T b = T{2} * before - T{5} * from + T{4} * to - after;
+        T c = -before + T{3} * from - T{3} * to + after;
+
+        // Catmull-Rom Interpolation:
+        // 0.5 * ((2 * p_from) + (a * w) + (b * w^2) + (c * w^3))
+
+        if consteval {
+            // compile time
+            return T{0.5} * (T{2.}*from + a*weight + b*w2 + c*w3);
+        } else {
+            // runtime
+            return T{0.5} * std::fma(c, w3, std::fma(b, w2, std::fma(a, weight, T{2} * from)));
+        }
+    }
+
+    template <std::floating_point T>
+    constexpr T cubic_interpolate_in_time(
+        T from, T to,
+        T before, T after, T weight,
+        T to_t, T before_t, T after_t) noexcept {
+        /* Barry-Goldman method */
+        T t = lerp(T{0.}, to_t, weight);
+
+        // At least try to make this easier to parse for others.
+        T pre_scale = before_t == T{0.} ? T{0.} : (t - before_t) / -before_t;
+        T to_scale = (to_t == T{0.}) ? T{.5} : t / to_t;
+        T post_range = after_t - to_t;
+        T post_scale = (post_range == T{0.}) ? T{1.} : (t - to_t) / post_range;
+
+        // First layer.
+        T a1 = lerp(before, from, pre_scale);
+        T a2 = lerp(from, to, to_scale);
+        T a3 = lerp(to, after, post_scale);
+
+        // More parsing.
+        T mid_range = to_t - before_t;
+        T from_to_scale = (mid_range == T{0.}) ? T{0.} : (t - before_t) / mid_range;
+        T to_post_scale = (after_t == T{0.}) ? T{1.} : t / after_t;
+
+        // Second layer.
+        T b1 = lerp(a1, a2, from_to_scale);
+        T b2 = lerp(a2, a3, to_post_scale);
+
+        // One more for the road.
+        T final_scale = (to_t == T{0.}) ? T{.5} : t / to_t;
+
+        return lerp(b1, b2, final_scale);
+    }
+
+    template <std::floating_point T>
+    constexpr T bezier_interpolate(T start, T control_1, T control_2, T end, T t) noexcept {
+        /* Formula from Wikipedia article on Bezier curves. */
+        // one minus t.
+        T omt = T{1.} - t;
+        T omt2 = omt * omt;
+        T omt3 = omt2 * omt;
+        T t2 = t * t;
+        T t3 = t2 * t;
+
+        // B(t) = (1-t)^3 * P_0 + 3(1 - t)^2 * t * P_1 + 3(1 - t) * t^2 * P_2 + t^3 * P_3
+        T d = start * omt3 + control_1 * omt2 * t * T{3.} + control_2 * omt * t2 * T{3.} + end * t3;
+        return d;
+    }
+
+    template <std::floating_point T>
+    constexpr T bezier_derivative(T start, T control_1, T control_2, T end, T t) noexcept {
+        /* Formula from Wikipedia article on Bezier curves. */
+        T omt = T{1.} - t;
+        T omt2 = omt * omt;
+        T t2 = t * t;
+
+        T d = (control_1 - start) * T{3.} * omt2 + (control_2 - control_1) * T{6.} * omt * t + (end - control_2) * T{3.} * t2;
+        return d;
+    }
+}