blob: 135c942359fe8e11bf7c5edf58b7cd8457fd024d [file] [log] [blame]
use crate::core::traits::{
quaternion::Quaternion,
vector::{FloatVector4, MaskVector4, Vector, Vector4, Vector4Const},
};
use crate::euler::{EulerFromQuaternion, EulerRot, EulerToQuaternion};
use crate::{DMat3, DMat4, DVec2, DVec3, DVec4};
use crate::{Mat3, Mat4, Vec2, Vec3, Vec3A, Vec4};
#[cfg(not(feature = "std"))]
use num_traits::Float;
#[cfg(all(
target_arch = "x86",
target_feature = "sse2",
not(feature = "scalar-math")
))]
use core::arch::x86::*;
#[cfg(all(
target_arch = "x86_64",
target_feature = "sse2",
not(feature = "scalar-math")
))]
use core::arch::x86_64::*;
#[cfg(all(target_feature = "simd128", not(feature = "scalar-math")))]
use core::arch::wasm32::v128;
#[cfg(not(target_arch = "spirv"))]
use core::fmt;
use core::iter::{Product, Sum};
use core::ops::{Add, Deref, Div, Mul, MulAssign, Neg, Sub};
macro_rules! impl_quat_methods {
($t:ident, $quat:ident, $vec2:ident, $vec3:ident, $vec4:ident, $mat3:ident, $mat4:ident, $inner:ident) => {
/// The identity quaternion. Corresponds to no rotation.
pub const IDENTITY: Self = Self($inner::W);
/// All NAN:s.
pub const NAN: Self = Self(<$inner as crate::core::traits::scalar::NanConstEx>::NAN);
/// Creates a new rotation quaternion.
///
/// This should generally not be called manually unless you know what you are doing.
/// Use one of the other constructors instead such as `identity` or `from_axis_angle`.
///
/// `from_xyzw` is mostly used by unit tests and `serde` deserialization.
///
/// # Preconditions
///
/// This function does not check if the input is normalized, it is up to the user to
/// provide normalized input or to normalized the resulting quaternion.
#[inline(always)]
pub fn from_xyzw(x: $t, y: $t, z: $t, w: $t) -> Self {
Self(Vector4::new(x, y, z, w))
}
/// Creates a rotation quaternion from an array.
///
/// # Preconditions
///
/// This function does not check if the input is normalized, it is up to the user to
/// provide normalized input or to normalized the resulting quaternion.
#[inline(always)]
pub fn from_array(a: [$t; 4]) -> Self {
let q = Vector4::from_array(a);
Self(q)
}
/// Creates a new rotation quaternion from a 4D vector.
///
/// # Preconditions
///
/// This function does not check if the input is normalized, it is up to the user to
/// provide normalized input or to normalized the resulting quaternion.
#[inline(always)]
pub fn from_vec4(v: $vec4) -> Self {
Self(v.0)
}
/// Creates a rotation quaternion from a slice.
///
/// # Preconditions
///
/// This function does not check if the input is normalized, it is up to the user to
/// provide normalized input or to normalized the resulting quaternion.
///
/// # Panics
///
/// Panics if `slice` length is less than 4.
#[inline(always)]
pub fn from_slice(slice: &[$t]) -> Self {
Self(Vector4::from_slice_unaligned(slice))
}
/// Writes the quaternion to an unaligned slice.
///
/// # Panics
///
/// Panics if `slice` length is less than 4.
#[inline(always)]
pub fn write_to_slice(self, slice: &mut [$t]) {
Vector4::write_to_slice_unaligned(self.0, slice)
}
/// Create a quaternion for a normalized rotation `axis` and `angle` (in radians).
/// The axis must be normalized (unit-length).
///
/// # Panics
///
/// Will panic if `axis` is not normalized when `glam_assert` is enabled.
#[inline(always)]
pub fn from_axis_angle(axis: $vec3, angle: $t) -> Self {
Self($inner::from_axis_angle(axis.0, angle))
}
/// Create a quaternion that rotates `v.length()` radians around `v.normalize()`.
///
/// `from_scaled_axis(Vec3::ZERO)` results in the identity quaternion.
#[inline(always)]
pub fn from_scaled_axis(v: $vec3) -> Self {
// Self($inner::from_scaled_axis(v.0))
let length = v.length();
if length == 0.0 {
Self::IDENTITY
} else {
Self::from_axis_angle(v / length, length)
}
}
/// Creates a quaternion from the `angle` (in radians) around the x axis.
#[inline(always)]
pub fn from_rotation_x(angle: $t) -> Self {
Self($inner::from_rotation_x(angle))
}
/// Creates a quaternion from the `angle` (in radians) around the y axis.
#[inline(always)]
pub fn from_rotation_y(angle: $t) -> Self {
Self($inner::from_rotation_y(angle))
}
/// Creates a quaternion from the `angle` (in radians) around the z axis.
#[inline(always)]
pub fn from_rotation_z(angle: $t) -> Self {
Self($inner::from_rotation_z(angle))
}
#[inline(always)]
/// Creates a quaternion from the given euler rotation sequence and the angles (in radians).
pub fn from_euler(euler: EulerRot, a: $t, b: $t, c: $t) -> Self {
euler.new_quat(a, b, c)
}
/// Creates a quaternion from a 3x3 rotation matrix.
#[inline]
pub fn from_mat3(mat: &$mat3) -> Self {
Self(Quaternion::from_rotation_axes(
mat.x_axis.0,
mat.y_axis.0,
mat.z_axis.0,
))
}
/// Creates a quaternion from a 3x3 rotation matrix inside a homogeneous 4x4 matrix.
#[inline]
pub fn from_mat4(mat: &$mat4) -> Self {
Self(Quaternion::from_rotation_axes(
mat.x_axis.0.into(),
mat.y_axis.0.into(),
mat.z_axis.0.into(),
))
}
/// Gets the minimal rotation for transforming `from` to `to`. The rotation is in the
/// plane spanned by the two vectors. Will rotate at most 180 degrees.
///
/// The input vectors must be normalized (unit-length).
///
/// `from_rotation_arc(from, to) * from ≈ to`.
///
/// For near-singular cases (from≈to and from≈-to) the current implementation
/// is only accurate to about 0.001 (for `f32`).
///
/// # Panics
///
/// Will panic if `from` or `to` are not normalized when `glam_assert` is enabled.
pub fn from_rotation_arc(from: $vec3, to: $vec3) -> Self {
glam_assert!(from.is_normalized());
glam_assert!(to.is_normalized());
const ONE_MINUS_EPS: $t = 1.0 - 2.0 * core::$t::EPSILON;
let dot = from.dot(to);
if dot > ONE_MINUS_EPS {
// 0° singulary: from ≈ to
Self::IDENTITY
} else if dot < -ONE_MINUS_EPS {
// 180° singulary: from ≈ -to
use core::$t::consts::PI; // half a turn = 𝛕/2 = 180°
Self::from_axis_angle(from.any_orthonormal_vector(), PI)
} else {
let c = from.cross(to);
Self::from_xyzw(c.x, c.y, c.z, 1.0 + dot).normalize()
}
}
/// Gets the minimal rotation for transforming `from` to either `to` or `-to`. This means
/// that the resulting quaternion will rotate `from` so that it is colinear with `to`.
///
/// The rotation is in the plane spanned by the two vectors. Will rotate at most 90
/// degrees.
///
/// The input vectors must be normalized (unit-length).
///
/// `to.dot(from_rotation_arc_colinear(from, to) * from).abs() ≈ 1`.
///
/// # Panics
///
/// Will panic if `from` or `to` are not normalized when `glam_assert` is enabled.
pub fn from_rotation_arc_colinear(from: $vec3, to: $vec3) -> Self {
if from.dot(to) < 0.0 {
Self::from_rotation_arc(from, -to)
} else {
Self::from_rotation_arc(from, to)
}
}
/// Gets the minimal rotation for transforming `from` to `to`. The resulting rotation is
/// around the z axis. Will rotate at most 180 degrees.
///
/// The input vectors must be normalized (unit-length).
///
/// `from_rotation_arc_2d(from, to) * from ≈ to`.
///
/// For near-singular cases (from≈to and from≈-to) the current implementation
/// is only accurate to about 0.001 (for `f32`).
///
/// # Panics
///
/// Will panic if `from` or `to` are not normalized when `glam_assert` is enabled.
pub fn from_rotation_arc_2d(from: $vec2, to: $vec2) -> Self {
glam_assert!(from.is_normalized());
glam_assert!(to.is_normalized());
const ONE_MINUS_EPSILON: $t = 1.0 - 2.0 * core::$t::EPSILON;
let dot = from.dot(to);
if dot > ONE_MINUS_EPSILON {
// 0° singulary: from ≈ to
Self::IDENTITY
} else if dot < -ONE_MINUS_EPSILON {
// 180° singulary: from ≈ -to
const COS_FRAC_PI_2: $t = 0.0;
const SIN_FRAC_PI_2: $t = 1.0;
// rotation around z by PI radians
Self::from_xyzw(0.0, 0.0, SIN_FRAC_PI_2, COS_FRAC_PI_2)
} else {
// vector3 cross where z=0
let z = from.x * to.y - to.x * from.y;
let w = 1.0 + dot;
// calculate length with x=0 and y=0 to normalize
let len_rcp = 1.0 / (z * z + w * w).sqrt();
Self::from_xyzw(0.0, 0.0, z * len_rcp, w * len_rcp)
}
}
/// Returns the rotation axis and angle (in radians) of `self`.
#[inline(always)]
pub fn to_axis_angle(self) -> ($vec3, $t) {
let (axis, angle) = self.0.to_axis_angle();
($vec3(axis), angle)
}
/// Returns the rotation axis scaled by the rotation in radians.
#[inline(always)]
pub fn to_scaled_axis(self) -> $vec3 {
let (axis, angle) = self.0.to_axis_angle();
$vec3(axis) * angle
}
/// Returns the rotation angles for the given euler rotation sequence.
#[inline(always)]
pub fn to_euler(self, euler: EulerRot) -> ($t, $t, $t) {
euler.convert_quat(self)
}
/// `[x, y, z, w]`
#[inline(always)]
pub fn to_array(&self) -> [$t; 4] {
[self.x, self.y, self.z, self.w]
}
/// Returns the vector part of the quaternion.
#[inline(always)]
pub fn xyz(self) -> $vec3 {
$vec3::new(self.x, self.y, self.z)
}
/// Returns the quaternion conjugate of `self`. For a unit quaternion the
/// conjugate is also the inverse.
#[must_use]
#[inline(always)]
pub fn conjugate(self) -> Self {
Self(self.0.conjugate())
}
/// Returns the inverse of a normalized quaternion.
///
/// Typically quaternion inverse returns the conjugate of a normalized quaternion.
/// Because `self` is assumed to already be unit length this method *does not* normalize
/// before returning the conjugate.
///
/// # Panics
///
/// Will panic if `self` is not normalized when `glam_assert` is enabled.
#[must_use]
#[inline(always)]
pub fn inverse(self) -> Self {
glam_assert!(self.is_normalized());
self.conjugate()
}
/// Computes the dot product of `self` and `other`. The dot product is
/// equal to the the cosine of the angle between two quaternion rotations.
#[inline(always)]
pub fn dot(self, other: Self) -> $t {
Vector4::dot(self.0, other.0)
}
/// Computes the length of `self`.
#[doc(alias = "magnitude")]
#[inline(always)]
pub fn length(self) -> $t {
FloatVector4::length(self.0)
}
/// Computes the squared length of `self`.
///
/// This is generally faster than `length()` as it avoids a square
/// root operation.
#[doc(alias = "magnitude2")]
#[inline(always)]
pub fn length_squared(self) -> $t {
FloatVector4::length_squared(self.0)
}
/// Computes `1.0 / length()`.
///
/// For valid results, `self` must _not_ be of length zero.
#[inline(always)]
pub fn length_recip(self) -> $t {
FloatVector4::length_recip(self.0)
}
/// Returns `self` normalized to length 1.0.
///
/// For valid results, `self` must _not_ be of length zero.
///
/// Panics
///
/// Will panic if `self` is zero length when `glam_assert` is enabled.
#[must_use]
#[inline(always)]
pub fn normalize(self) -> Self {
Self(FloatVector4::normalize(self.0))
}
/// Returns `true` if, and only if, all elements are finite.
/// If any element is either `NaN`, positive or negative infinity, this will return `false`.
#[inline(always)]
pub fn is_finite(self) -> bool {
FloatVector4::is_finite(self.0)
}
#[inline(always)]
pub fn is_nan(self) -> bool {
FloatVector4::is_nan(self.0)
}
/// Returns whether `self` of length `1.0` or not.
///
/// Uses a precision threshold of `1e-6`.
#[inline(always)]
pub fn is_normalized(self) -> bool {
FloatVector4::is_normalized(self.0)
}
#[inline(always)]
pub fn is_near_identity(self) -> bool {
self.0.is_near_identity()
}
/// Returns the angle (in radians) for the minimal rotation
/// for transforming this quaternion into another.
///
/// Both quaternions must be normalized.
///
/// # Panics
///
/// Will panic if `self` or `other` are not normalized when `glam_assert` is enabled.
pub fn angle_between(self, other: Self) -> $t {
glam_assert!(self.is_normalized() && other.is_normalized());
use crate::core::traits::scalar::FloatEx;
self.dot(other).abs().acos_approx() * 2.0
}
/// Returns true if the absolute difference of all elements between `self` and `other`
/// is less than or equal to `max_abs_diff`.
///
/// This can be used to compare if two quaternions contain similar elements. It works
/// best when comparing with a known value. The `max_abs_diff` that should be used used
/// depends on the values being compared against.
///
/// For more see
/// [comparing floating point numbers](https://randomascii.wordpress.com/2012/02/25/comparing-floating-point-numbers-2012-edition/).
#[inline(always)]
pub fn abs_diff_eq(self, other: Self, max_abs_diff: $t) -> bool {
FloatVector4::abs_diff_eq(self.0, other.0, max_abs_diff)
}
/// Performs a linear interpolation between `self` and `other` based on
/// the value `s`.
///
/// When `s` is `0.0`, the result will be equal to `self`. When `s`
/// is `1.0`, the result will be equal to `other`.
///
/// # Panics
///
/// Will panic if `self` or `end` are not normalized when `glam_assert` is enabled.
#[inline(always)]
#[doc(alias = "mix")]
pub fn lerp(self, end: Self, s: $t) -> Self {
Self(self.0.lerp(end.0, s))
}
/// Performs a spherical linear interpolation between `self` and `end`
/// based on the value `s`.
///
/// When `s` is `0.0`, the result will be equal to `self`. When `s`
/// is `1.0`, the result will be equal to `end`.
///
/// Note that a rotation can be represented by two quaternions: `q` and
/// `-q`. The slerp path between `q` and `end` will be different from the
/// path between `-q` and `end`. One path will take the long way around and
/// one will take the short way. In order to correct for this, the `dot`
/// product between `self` and `end` should be positive. If the `dot`
/// product is negative, slerp between `-self` and `end`.
///
/// # Panics
///
/// Will panic if `self` or `end` are not normalized when `glam_assert` is enabled.
#[inline(always)]
pub fn slerp(self, end: Self, s: $t) -> Self {
Self(self.0.slerp(end.0, s))
}
/// Multiplies a quaternion and a 3D vector, returning the rotated vector.
///
/// # Panics
///
/// Will panic if `self` is not normalized when `glam_assert` is enabled.
#[inline(always)]
pub fn mul_vec3(self, other: $vec3) -> $vec3 {
$vec3(self.0.mul_vector3(other.0))
}
/// Multiplies two quaternions. If they each represent a rotation, the result will
/// represent the combined rotation.
///
/// Note that due to floating point rounding the result may not be perfectly normalized.
///
/// # Panics
///
/// Will panic if `self` or `other` are not normalized when `glam_assert` is enabled.
#[inline(always)]
pub fn mul_quat(self, other: Self) -> Self {
Self(self.0.mul_quaternion(other.0))
}
};
}
macro_rules! impl_quat_traits {
($t:ty, $new:ident, $quat:ident, $vec3:ident, $vec4:ident, $inner:ident) => {
/// Creates a quaternion from `x`, `y`, `z` and `w` values.
///
/// This should generally not be called manually unless you know what you are doing. Use
/// one of the other constructors instead such as `identity` or `from_axis_angle`.
#[inline]
pub fn $new(x: $t, y: $t, z: $t, w: $t) -> $quat {
$quat::from_xyzw(x, y, z, w)
}
#[cfg(not(target_arch = "spirv"))]
impl fmt::Debug for $quat {
fn fmt(&self, fmt: &mut fmt::Formatter<'_>) -> fmt::Result {
fmt.debug_tuple(stringify!($quat))
.field(&self.x)
.field(&self.y)
.field(&self.z)
.field(&self.w)
.finish()
}
}
#[cfg(not(target_arch = "spirv"))]
impl fmt::Display for $quat {
fn fmt(&self, fmt: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(fmt, "[{}, {}, {}, {}]", self.x, self.y, self.z, self.w)
}
}
impl Add<$quat> for $quat {
type Output = Self;
/// Adds two quaternions.
///
/// The sum is not guaranteed to be normalized.
///
/// Note that addition is not the same as combining the rotations represented by the
/// two quaternions! That corresponds to multiplication.
#[inline]
fn add(self, other: Self) -> Self {
Self(self.0.add(other.0))
}
}
impl Sub<$quat> for $quat {
type Output = Self;
/// Subtracts the other quaternion from self.
///
/// The difference is not guaranteed to be normalized.
#[inline]
fn sub(self, other: Self) -> Self {
Self(self.0.sub(other.0))
}
}
impl Mul<$t> for $quat {
type Output = Self;
/// Multiplies a quaternion by a scalar value.
///
/// The product is not guaranteed to be normalized.
#[inline]
fn mul(self, other: $t) -> Self {
Self(self.0.scale(other))
}
}
impl Div<$t> for $quat {
type Output = Self;
/// Divides a quaternion by a scalar value.
/// The quotient is not guaranteed to be normalized.
#[inline]
fn div(self, other: $t) -> Self {
Self(self.0.scale(other.recip()))
}
}
impl Mul<$quat> for $quat {
type Output = Self;
/// Multiplies two quaternions. If they each represent a rotation, the result will
/// represent the combined rotation.
///
/// Note that due to floating point rounding the result may not be perfectly
/// normalized.
///
/// # Panics
///
/// Will panic if `self` or `other` are not normalized when `glam_assert` is enabled.
#[inline]
fn mul(self, other: Self) -> Self {
Self(self.0.mul_quaternion(other.0))
}
}
impl MulAssign<$quat> for $quat {
/// Multiplies two quaternions. If they each represent a rotation, the result will
/// represent the combined rotation.
///
/// Note that due to floating point rounding the result may not be perfectly
/// normalized.
///
/// # Panics
///
/// Will panic if `self` or `other` are not normalized when `glam_assert` is enabled.
#[inline]
fn mul_assign(&mut self, other: Self) {
self.0 = self.0.mul_quaternion(other.0);
}
}
impl Mul<$vec3> for $quat {
type Output = $vec3;
/// Multiplies a quaternion and a 3D vector, returning the rotated vector.
///
/// # Panics
///
/// Will panic if `self` is not normalized when `glam_assert` is enabled.
#[inline]
fn mul(self, other: $vec3) -> Self::Output {
$vec3(self.0.mul_vector3(other.0))
}
}
impl Neg for $quat {
type Output = Self;
#[inline]
fn neg(self) -> Self {
Self(self.0.scale(-1.0))
}
}
impl Default for $quat {
#[inline]
fn default() -> Self {
Self::IDENTITY
}
}
impl PartialEq for $quat {
#[inline]
fn eq(&self, other: &Self) -> bool {
MaskVector4::all(self.0.cmpeq(other.0))
}
}
#[cfg(not(target_arch = "spirv"))]
impl AsRef<[$t; 4]> for $quat {
#[inline(always)]
fn as_ref(&self) -> &[$t; 4] {
unsafe { &*(self as *const Self as *const [$t; 4]) }
}
}
#[cfg(not(target_arch = "spirv"))]
impl AsMut<[$t; 4]> for $quat {
#[inline(always)]
fn as_mut(&mut self) -> &mut [$t; 4] {
unsafe { &mut *(self as *mut Self as *mut [$t; 4]) }
}
}
impl From<$quat> for $vec4 {
#[inline(always)]
fn from(q: $quat) -> Self {
$vec4(q.0)
}
}
impl From<$quat> for ($t, $t, $t, $t) {
#[inline(always)]
fn from(q: $quat) -> Self {
Vector4::into_tuple(q.0)
}
}
impl From<$quat> for [$t; 4] {
#[inline(always)]
fn from(q: $quat) -> Self {
Vector4::into_array(q.0)
}
}
impl From<$quat> for $inner {
// TODO: write test
#[inline(always)]
fn from(q: $quat) -> Self {
q.0
}
}
impl Deref for $quat {
type Target = crate::XYZW<$t>;
#[inline(always)]
fn deref(&self) -> &Self::Target {
self.0.as_ref_xyzw()
}
}
impl<'a> Sum<&'a Self> for $quat {
fn sum<I>(iter: I) -> Self
where
I: Iterator<Item = &'a Self>,
{
use crate::core::traits::vector::VectorConst;
iter.fold(Self($inner::ZERO), |a, &b| Self::add(a, b))
}
}
impl<'a> Product<&'a Self> for $quat {
fn product<I>(iter: I) -> Self
where
I: Iterator<Item = &'a Self>,
{
iter.fold(Self::IDENTITY, |a, &b| Self::mul(a, b))
}
}
};
}
#[cfg(all(target_feature = "sse2", not(feature = "scalar-math")))]
type InnerF32 = __m128;
#[cfg(all(target_feature = "simd128", not(feature = "scalar-math")))]
type InnerF32 = v128;
#[cfg(any(
not(any(target_feature = "sse2", target_feature = "simd128")),
feature = "scalar-math"
))]
type InnerF32 = crate::XYZW<f32>;
/// A quaternion representing an orientation.
///
/// This quaternion is intended to be of unit length but may denormalize due to
/// floating point "error creep" which can occur when successive quaternion
/// operations are applied.
///
/// This type is 16 byte aligned.
#[derive(Clone, Copy)]
#[cfg_attr(
not(any(
feature = "scalar-math",
target_arch = "spirv",
target_feature = "sse2",
target_feature = "simd128"
)),
repr(C, align(16))
)]
#[cfg_attr(
any(
feature = "scalar-math",
target_arch = "spirv",
target_feature = "sse2",
target_feature = "simd128"
),
repr(transparent)
)]
pub struct Quat(pub(crate) InnerF32);
impl Quat {
impl_quat_methods!(f32, Quat, Vec2, Vec3, Vec4, Mat3, Mat4, InnerF32);
/// Multiplies a quaternion and a 3D vector, returning the rotated vector.
#[inline(always)]
pub fn mul_vec3a(self, other: Vec3A) -> Vec3A {
#[allow(clippy::useless_conversion)]
Vec3A(self.0.mul_float4_as_vector3(other.0.into()).into())
}
#[inline(always)]
pub fn as_f64(self) -> DQuat {
DQuat::from_xyzw(self.x as f64, self.y as f64, self.z as f64, self.w as f64)
}
/// Creates a quaternion from a 3x3 rotation matrix inside a 3D affine transform.
#[inline]
pub fn from_affine3(mat: &crate::Affine3A) -> Self {
Self(Quaternion::from_rotation_axes(
mat.x_axis.0.into(),
mat.y_axis.0.into(),
mat.z_axis.0.into(),
))
}
}
impl_quat_traits!(f32, quat, Quat, Vec3, Vec4, InnerF32);
impl Mul<Vec3A> for Quat {
type Output = Vec3A;
#[inline(always)]
fn mul(self, other: Vec3A) -> Self::Output {
self.mul_vec3a(other)
}
}
type InnerF64 = crate::XYZW<f64>;
/// A quaternion representing an orientation.
///
/// This quaternion is intended to be of unit length but may denormalize due to
/// floating point "error creep" which can occur when successive quaternion
/// operations are applied.
#[derive(Clone, Copy)]
#[repr(transparent)]
pub struct DQuat(pub(crate) InnerF64);
impl DQuat {
impl_quat_methods!(f64, DQuat, DVec2, DVec3, DVec4, DMat3, DMat4, InnerF64);
#[inline(always)]
pub fn as_f32(self) -> Quat {
Quat::from_xyzw(self.x as f32, self.y as f32, self.z as f32, self.w as f32)
}
/// Creates a quaternion from a 3x3 rotation matrix inside a 3D affine transform.
#[inline]
pub fn from_affine3(mat: &crate::DAffine3) -> Self {
Self(Quaternion::from_rotation_axes(
mat.x_axis.0,
mat.y_axis.0,
mat.z_axis.0,
))
}
}
impl_quat_traits!(f64, dquat, DQuat, DVec3, DVec4, InnerF64);
#[cfg(any(feature = "scalar-math", target_arch = "spirv"))]
mod const_test_quat {
const_assert_eq!(
core::mem::align_of::<f32>(),
core::mem::align_of::<super::Quat>()
);
const_assert_eq!(16, core::mem::size_of::<super::Quat>());
}
#[cfg(not(any(feature = "scalar-math", target_arch = "spirv")))]
mod const_test_quat {
const_assert_eq!(16, core::mem::align_of::<super::Quat>());
const_assert_eq!(16, core::mem::size_of::<super::Quat>());
}
mod const_test_dquat {
const_assert_eq!(
core::mem::align_of::<f64>(),
core::mem::align_of::<super::DQuat>()
);
const_assert_eq!(32, core::mem::size_of::<super::DQuat>());
}