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/*
* Copyright (c) 2020, Stephan Unverwerth <s.unverwerth@serenityos.org>
* Copyright (c) 2022, the SerenityOS developers.
*
* SPDX-License-Identifier: BSD-2-Clause
*/
#pragma once
#include <AK/Array.h>
#include <AK/Error.h>
#include <AK/Format.h>
#include <AK/Math.h>
#include <AK/StdLibExtras.h>
#include <AK/String.h>
#include <AK/StringView.h>
#define LOOP_UNROLL_N 4
#define STRINGIFY_HELPER(x) #x
#define STRINGIFY(x) STRINGIFY_HELPER(x)
#ifdef __clang__
# define UNROLL_LOOP _Pragma(STRINGIFY(unroll))
#else
# define UNROLL_LOOP _Pragma(STRINGIFY(GCC unroll(LOOP_UNROLL_N)))
#endif
namespace Gfx {
template<size_t N, typename T>
requires(N >= 2 && N <= 4) class VectorN final {
static_assert(LOOP_UNROLL_N >= N, "Unroll the entire loop for performance.");
public:
[[nodiscard]] constexpr VectorN() = default;
[[nodiscard]] constexpr VectorN(T x, T y) requires(N == 2)
: m_data { x, y }
{
}
[[nodiscard]] constexpr VectorN(T x, T y, T z) requires(N == 3)
: m_data { x, y, z }
{
}
[[nodiscard]] constexpr VectorN(T x, T y, T z, T w) requires(N == 4)
: m_data { x, y, z, w }
{
}
[[nodiscard]] constexpr T x() const { return m_data[0]; }
[[nodiscard]] constexpr T y() const { return m_data[1]; }
[[nodiscard]] constexpr T z() const requires(N >= 3) { return m_data[2]; }
[[nodiscard]] constexpr T w() const requires(N >= 4) { return m_data[3]; }
constexpr void set_x(T value) { m_data[0] = value; }
constexpr void set_y(T value) { m_data[1] = value; }
constexpr void set_z(T value) requires(N >= 3) { m_data[2] = value; }
constexpr void set_w(T value) requires(N >= 4) { m_data[3] = value; }
[[nodiscard]] constexpr T operator[](size_t index) const
{
VERIFY(index < N);
return m_data[index];
}
constexpr VectorN& operator+=(VectorN const& other)
{
UNROLL_LOOP
for (auto i = 0u; i < N; ++i)
m_data[i] += other.m_data[i];
return *this;
}
constexpr VectorN& operator-=(VectorN const& other)
{
UNROLL_LOOP
for (auto i = 0u; i < N; ++i)
m_data[i] -= other.m_data[i];
return *this;
}
constexpr VectorN& operator*=(const T& t)
{
UNROLL_LOOP
for (auto i = 0u; i < N; ++i)
m_data[i] *= t;
return *this;
}
[[nodiscard]] constexpr VectorN operator+(VectorN const& other) const
{
VectorN result;
UNROLL_LOOP
for (auto i = 0u; i < N; ++i)
result.m_data[i] = m_data[i] + other.m_data[i];
return result;
}
[[nodiscard]] constexpr VectorN operator-(VectorN const& other) const
{
VectorN result;
UNROLL_LOOP
for (auto i = 0u; i < N; ++i)
result.m_data[i] = m_data[i] - other.m_data[i];
return result;
}
[[nodiscard]] constexpr VectorN operator*(VectorN const& other) const
{
VectorN result;
UNROLL_LOOP
for (auto i = 0u; i < N; ++i)
result.m_data[i] = m_data[i] * other.m_data[i];
return result;
}
[[nodiscard]] constexpr VectorN operator-() const
{
VectorN result;
UNROLL_LOOP
for (auto i = 0u; i < N; ++i)
result.m_data[i] = -m_data[i];
return result;
}
[[nodiscard]] constexpr VectorN operator/(VectorN const& other) const
{
VectorN result;
UNROLL_LOOP
for (auto i = 0u; i < N; ++i)
result.m_data[i] = m_data[i] / other.m_data[i];
return result;
}
template<typename U>
[[nodiscard]] constexpr VectorN operator*(U f) const
{
VectorN result;
UNROLL_LOOP
for (auto i = 0u; i < N; ++i)
result.m_data[i] = m_data[i] * f;
return result;
}
template<typename U>
[[nodiscard]] constexpr VectorN operator/(U f) const
{
VectorN result;
UNROLL_LOOP
for (auto i = 0u; i < N; ++i)
result.m_data[i] = m_data[i] / f;
return result;
}
[[nodiscard]] constexpr T dot(VectorN const& other) const
{
T result {};
UNROLL_LOOP
for (auto i = 0u; i < N; ++i)
result += m_data[i] * other.m_data[i];
return result;
}
[[nodiscard]] constexpr VectorN cross(VectorN const& other) const requires(N == 3)
{
return VectorN(
y() * other.z() - z() * other.y(),
z() * other.x() - x() * other.z(),
x() * other.y() - y() * other.x());
}
[[nodiscard]] constexpr VectorN normalized() const
{
VectorN copy { *this };
copy.normalize();
return copy;
}
[[nodiscard]] constexpr VectorN clamped(T m, T x) const
{
VectorN copy { *this };
copy.clamp(m, x);
return copy;
}
constexpr void clamp(T min_value, T max_value)
{
UNROLL_LOOP
for (auto i = 0u; i < N; ++i) {
m_data[i] = max(min_value, m_data[i]);
m_data[i] = min(max_value, m_data[i]);
}
}
constexpr void normalize()
{
T const inv_length = 1 / length();
operator*=(inv_length);
}
[[nodiscard]] constexpr T length() const
{
T squared_sum {};
UNROLL_LOOP
for (auto i = 0u; i < N; ++i)
squared_sum += m_data[i] * m_data[i];
return AK::sqrt(squared_sum);
}
[[nodiscard]] constexpr VectorN<2, T> xy() const requires(N >= 3)
{
return VectorN<2, T>(x(), y());
}
[[nodiscard]] constexpr VectorN<3, T> xyz() const requires(N >= 4)
{
return VectorN<3, T>(x(), y(), z());
}
[[nodiscard]] String to_string() const
{
if constexpr (N == 2)
return String::formatted("[{},{}]", x(), y());
else if constexpr (N == 3)
return String::formatted("[{},{},{}]", x(), y(), z());
else
return String::formatted("[{},{},{},{}]", x(), y(), z(), w());
}
private:
AK::Array<T, N> m_data;
};
}
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