// Generated from mat.rs.tera template. Edit the template, not the generated file.

use crate::{coresimd::*, swizzles::*, DMat4, EulerRot, Mat3, Quat, Vec3, Vec3A, Vec4};
#[cfg(not(target_arch = "spirv"))]
use core::fmt;
use core::iter::{Product, Sum};
use core::ops::{Add, AddAssign, Mul, MulAssign, Neg, Sub, SubAssign};

use core::simd::{Which::*, *};

#[cfg(feature = "libm")]
#[allow(unused_imports)]
use num_traits::Float;

/// Creates a 4x4 matrix from column vectors.
#[inline(always)]
pub const fn mat4(x_axis: Vec4, y_axis: Vec4, z_axis: Vec4, w_axis: Vec4) -> Mat4 {
    Mat4::from_cols(x_axis, y_axis, z_axis, w_axis)
}

/// A 4x4 column major matrix.
///
/// This 4x4 matrix type features convenience methods for creating and using affine transforms and
/// perspective projections. If you are primarily dealing with 3D affine transformations
/// considering using [`Affine3A`](crate::Affine3A) which is faster than a 4x4 matrix
/// for some affine operations.
///
/// Affine transformations including 3D translation, rotation and scale can be created
/// using methods such as [`Self::from_translation()`], [`Self::from_quat()`],
/// [`Self::from_scale()`] and [`Self::from_scale_rotation_translation()`].
///
/// Othographic projections can be created using the methods [`Self::orthographic_lh()`] for
/// left-handed coordinate systems and [`Self::orthographic_rh()`] for right-handed
/// systems. The resulting matrix is also an affine transformation.
///
/// The [`Self::transform_point3()`] and [`Self::transform_vector3()`] convenience methods
/// are provided for performing affine transformations on 3D vectors and points. These
/// multiply 3D inputs as 4D vectors with an implicit `w` value of `1` for points and `0`
/// for vectors respectively. These methods assume that `Self` contains a valid affine
/// transform.
///
/// Perspective projections can be created using methods such as
/// [`Self::perspective_lh()`], [`Self::perspective_infinite_lh()`] and
/// [`Self::perspective_infinite_reverse_lh()`] for left-handed co-ordinate systems and
/// [`Self::perspective_rh()`], [`Self::perspective_infinite_rh()`] and
/// [`Self::perspective_infinite_reverse_rh()`] for right-handed co-ordinate systems.
///
/// The resulting perspective project can be use to transform 3D vectors as points with
/// perspective correction using the [`Self::project_point3()`] convenience method.
#[derive(Clone, Copy)]
#[repr(C)]
pub struct Mat4 {
    pub x_axis: Vec4,
    pub y_axis: Vec4,
    pub z_axis: Vec4,
    pub w_axis: Vec4,
}

impl Mat4 {
    /// A 4x4 matrix with all elements set to `0.0`.
    pub const ZERO: Self = Self::from_cols(Vec4::ZERO, Vec4::ZERO, Vec4::ZERO, Vec4::ZERO);

    /// A 4x4 identity matrix, where all diagonal elements are `1`, and all off-diagonal elements are `0`.
    pub const IDENTITY: Self = Self::from_cols(Vec4::X, Vec4::Y, Vec4::Z, Vec4::W);

    /// All NAN:s.
    pub const NAN: Self = Self::from_cols(Vec4::NAN, Vec4::NAN, Vec4::NAN, Vec4::NAN);

    #[allow(clippy::too_many_arguments)]
    #[inline(always)]
    const fn new(
        m00: f32,
        m01: f32,
        m02: f32,
        m03: f32,
        m10: f32,
        m11: f32,
        m12: f32,
        m13: f32,
        m20: f32,
        m21: f32,
        m22: f32,
        m23: f32,
        m30: f32,
        m31: f32,
        m32: f32,
        m33: f32,
    ) -> Self {
        Self {
            x_axis: Vec4::new(m00, m01, m02, m03),
            y_axis: Vec4::new(m10, m11, m12, m13),
            z_axis: Vec4::new(m20, m21, m22, m23),
            w_axis: Vec4::new(m30, m31, m32, m33),
        }
    }

    /// Creates a 4x4 matrix from two column vectors.
    #[inline(always)]
    pub const fn from_cols(x_axis: Vec4, y_axis: Vec4, z_axis: Vec4, w_axis: Vec4) -> Self {
        Self {
            x_axis,
            y_axis,
            z_axis,
            w_axis,
        }
    }

    /// Creates a 4x4 matrix from a `[f32; 16]` array stored in column major order.
    /// If your data is stored in row major you will need to `transpose` the returned
    /// matrix.
    #[inline]
    pub const fn from_cols_array(m: &[f32; 16]) -> Self {
        Self::new(
            m[0], m[1], m[2], m[3], m[4], m[5], m[6], m[7], m[8], m[9], m[10], m[11], m[12], m[13],
            m[14], m[15],
        )
    }

    /// Creates a `[f32; 16]` array storing data in column major order.
    /// If you require data in row major order `transpose` the matrix first.
    #[inline]
    pub fn to_cols_array(&self) -> [f32; 16] {
        [
            self.x_axis.x,
            self.x_axis.y,
            self.x_axis.z,
            self.x_axis.w,
            self.y_axis.x,
            self.y_axis.y,
            self.y_axis.z,
            self.y_axis.w,
            self.z_axis.x,
            self.z_axis.y,
            self.z_axis.z,
            self.z_axis.w,
            self.w_axis.x,
            self.w_axis.y,
            self.w_axis.z,
            self.w_axis.w,
        ]
    }

    /// Creates a 4x4 matrix from a `[[f32; 4]; 4]` 4D array stored in column major order.
    /// If your data is in row major order you will need to `transpose` the returned
    /// matrix.
    #[inline]
    pub const fn from_cols_array_2d(m: &[[f32; 4]; 4]) -> Self {
        Self::from_cols(
            Vec4::from_array(m[0]),
            Vec4::from_array(m[1]),
            Vec4::from_array(m[2]),
            Vec4::from_array(m[3]),
        )
    }

    /// Creates a `[[f32; 4]; 4]` 4D array storing data in column major order.
    /// If you require data in row major order `transpose` the matrix first.
    #[inline]
    pub fn to_cols_array_2d(&self) -> [[f32; 4]; 4] {
        [
            self.x_axis.to_array(),
            self.y_axis.to_array(),
            self.z_axis.to_array(),
            self.w_axis.to_array(),
        ]
    }

    /// Creates a 4x4 matrix with its diagonal set to `diagonal` and all other entries set to 0.
    #[doc(alias = "scale")]
    #[inline]
    pub fn from_diagonal(diagonal: Vec4) -> Self {
        Self::new(
            diagonal.x, 0.0, 0.0, 0.0, 0.0, diagonal.y, 0.0, 0.0, 0.0, 0.0, diagonal.z, 0.0, 0.0,
            0.0, 0.0, diagonal.w,
        )
    }

    #[inline]
    fn quat_to_axes(rotation: Quat) -> (Vec4, Vec4, Vec4) {
        glam_assert!(rotation.is_normalized());

        let (x, y, z, w) = rotation.into();
        let x2 = x + x;
        let y2 = y + y;
        let z2 = z + z;
        let xx = x * x2;
        let xy = x * y2;
        let xz = x * z2;
        let yy = y * y2;
        let yz = y * z2;
        let zz = z * z2;
        let wx = w * x2;
        let wy = w * y2;
        let wz = w * z2;

        let x_axis = Vec4::new(1.0 - (yy + zz), xy + wz, xz - wy, 0.0);
        let y_axis = Vec4::new(xy - wz, 1.0 - (xx + zz), yz + wx, 0.0);
        let z_axis = Vec4::new(xz + wy, yz - wx, 1.0 - (xx + yy), 0.0);
        (x_axis, y_axis, z_axis)
    }

    /// Creates an affine transformation matrix from the given 3D `scale`, `rotation` and
    /// `translation`.
    ///
    /// The resulting matrix can be used to transform 3D points and vectors. See
    /// [`Self::transform_point3()`] and [`Self::transform_vector3()`].
    ///
    /// # Panics
    ///
    /// Will panic if `rotation` is not normalized when `glam_assert` is enabled.
    #[inline]
    pub fn from_scale_rotation_translation(scale: Vec3, rotation: Quat, translation: Vec3) -> Self {
        let (x_axis, y_axis, z_axis) = Self::quat_to_axes(rotation);
        Self::from_cols(
            x_axis.mul(scale.x),
            y_axis.mul(scale.y),
            z_axis.mul(scale.z),
            Vec4::from((translation, 1.0)),
        )
    }

    /// Creates an affine transformation matrix from the given 3D `translation`.
    ///
    /// The resulting matrix can be used to transform 3D points and vectors. See
    /// [`Self::transform_point3()`] and [`Self::transform_vector3()`].
    ///
    /// # Panics
    ///
    /// Will panic if `rotation` is not normalized when `glam_assert` is enabled.
    #[inline]
    pub fn from_rotation_translation(rotation: Quat, translation: Vec3) -> Self {
        let (x_axis, y_axis, z_axis) = Self::quat_to_axes(rotation);
        Self::from_cols(x_axis, y_axis, z_axis, Vec4::from((translation, 1.0)))
    }

    /// Extracts `scale`, `rotation` and `translation` from `self`. The input matrix is
    /// expected to be a 3D affine transformation matrix otherwise the output will be invalid.
    ///
    /// # Panics
    ///
    /// Will panic if the determinant of `self` is zero or if the resulting scale vector
    /// contains any zero elements when `glam_assert` is enabled.
    #[inline]
    pub fn to_scale_rotation_translation(&self) -> (Vec3, Quat, Vec3) {
        let det = self.determinant();
        glam_assert!(det != 0.0);

        let scale = Vec3::new(
            self.x_axis.length() * det.signum(),
            self.y_axis.length(),
            self.z_axis.length(),
        );

        glam_assert!(scale.cmpne(Vec3::ZERO).all());

        let inv_scale = scale.recip();

        let rotation = Quat::from_rotation_axes(
            self.x_axis.mul(inv_scale.x).xyz(),
            self.y_axis.mul(inv_scale.y).xyz(),
            self.z_axis.mul(inv_scale.z).xyz(),
        );

        let translation = self.w_axis.xyz();

        (scale, rotation, translation)
    }

    /// Creates an affine transformation matrix from the given `rotation` quaternion.
    ///
    /// The resulting matrix can be used to transform 3D points and vectors. See
    /// [`Self::transform_point3()`] and [`Self::transform_vector3()`].
    ///
    /// # Panics
    ///
    /// Will panic if `rotation` is not normalized when `glam_assert` is enabled.
    #[inline]
    pub fn from_quat(rotation: Quat) -> Self {
        let (x_axis, y_axis, z_axis) = Self::quat_to_axes(rotation);
        Self::from_cols(x_axis, y_axis, z_axis, Vec4::W)
    }

    /// Creates an affine transformation matrix from the given 3x3 linear transformation
    /// matrix.
    ///
    /// The resulting matrix can be used to transform 3D points and vectors. See
    /// [`Self::transform_point3()`] and [`Self::transform_vector3()`].
    #[inline]
    pub fn from_mat3(m: Mat3) -> Self {
        Self::from_cols(
            Vec4::from((m.x_axis, 0.0)),
            Vec4::from((m.y_axis, 0.0)),
            Vec4::from((m.z_axis, 0.0)),
            Vec4::W,
        )
    }

    /// Creates an affine transformation matrix from the given 3D `translation`.
    ///
    /// The resulting matrix can be used to transform 3D points and vectors. See
    /// [`Self::transform_point3()`] and [`Self::transform_vector3()`].
    #[inline]
    pub fn from_translation(translation: Vec3) -> Self {
        Self::from_cols(
            Vec4::X,
            Vec4::Y,
            Vec4::Z,
            Vec4::new(translation.x, translation.y, translation.z, 1.0),
        )
    }

    /// Creates an affine transformation matrix containing a 3D rotation around a normalized
    /// rotation `axis` of `angle` (in radians).
    ///
    /// The resulting matrix can be used to transform 3D points and vectors. See
    /// [`Self::transform_point3()`] and [`Self::transform_vector3()`].
    ///
    /// # Panics
    ///
    /// Will panic if `axis` is not normalized when `glam_assert` is enabled.
    #[inline]
    pub fn from_axis_angle(axis: Vec3, angle: f32) -> Self {
        glam_assert!(axis.is_normalized());

        let (sin, cos) = angle.sin_cos();
        let axis_sin = axis.mul(sin);
        let axis_sq = axis.mul(axis);
        let omc = 1.0 - cos;
        let xyomc = axis.x * axis.y * omc;
        let xzomc = axis.x * axis.z * omc;
        let yzomc = axis.y * axis.z * omc;
        Self::from_cols(
            Vec4::new(
                axis_sq.x * omc + cos,
                xyomc + axis_sin.z,
                xzomc - axis_sin.y,
                0.0,
            ),
            Vec4::new(
                xyomc - axis_sin.z,
                axis_sq.y * omc + cos,
                yzomc + axis_sin.x,
                0.0,
            ),
            Vec4::new(
                xzomc + axis_sin.y,
                yzomc - axis_sin.x,
                axis_sq.z * omc + cos,
                0.0,
            ),
            Vec4::W,
        )
    }

    #[inline]
    /// Creates a affine transformation matrix containing a rotation from the given euler
    /// rotation sequence and angles (in radians).
    ///
    /// The resulting matrix can be used to transform 3D points and vectors. See
    /// [`Self::transform_point3()`] and [`Self::transform_vector3()`].
    pub fn from_euler(order: EulerRot, a: f32, b: f32, c: f32) -> Self {
        let quat = Quat::from_euler(order, a, b, c);
        Self::from_quat(quat)
    }

    /// Creates an affine transformation matrix containing a 3D rotation around the x axis of
    /// `angle` (in radians).
    ///
    /// The resulting matrix can be used to transform 3D points and vectors. See
    /// [`Self::transform_point3()`] and [`Self::transform_vector3()`].
    #[inline]
    pub fn from_rotation_x(angle: f32) -> Self {
        let (sina, cosa) = angle.sin_cos();
        Self::from_cols(
            Vec4::X,
            Vec4::new(0.0, cosa, sina, 0.0),
            Vec4::new(0.0, -sina, cosa, 0.0),
            Vec4::W,
        )
    }

    /// Creates an affine transformation matrix containing a 3D rotation around the y axis of
    /// `angle` (in radians).
    ///
    /// The resulting matrix can be used to transform 3D points and vectors. See
    /// [`Self::transform_point3()`] and [`Self::transform_vector3()`].
    #[inline]
    pub fn from_rotation_y(angle: f32) -> Self {
        let (sina, cosa) = angle.sin_cos();
        Self::from_cols(
            Vec4::new(cosa, 0.0, -sina, 0.0),
            Vec4::Y,
            Vec4::new(sina, 0.0, cosa, 0.0),
            Vec4::W,
        )
    }

    /// Creates an affine transformation matrix containing a 3D rotation around the z axis of
    /// `angle` (in radians).
    ///
    /// The resulting matrix can be used to transform 3D points and vectors. See
    /// [`Self::transform_point3()`] and [`Self::transform_vector3()`].
    #[inline]
    pub fn from_rotation_z(angle: f32) -> Self {
        let (sina, cosa) = angle.sin_cos();
        Self::from_cols(
            Vec4::new(cosa, sina, 0.0, 0.0),
            Vec4::new(-sina, cosa, 0.0, 0.0),
            Vec4::Z,
            Vec4::W,
        )
    }

    /// Creates an affine transformation matrix containing the given 3D non-uniform `scale`.
    ///
    /// The resulting matrix can be used to transform 3D points and vectors. See
    /// [`Self::transform_point3()`] and [`Self::transform_vector3()`].
    ///
    /// # Panics
    ///
    /// Will panic if all elements of `scale` are zero when `glam_assert` is enabled.
    #[inline]
    pub fn from_scale(scale: Vec3) -> Self {
        // Do not panic as long as any component is non-zero
        glam_assert!(scale.cmpne(Vec3::ZERO).any());

        Self::from_cols(
            Vec4::new(scale.x, 0.0, 0.0, 0.0),
            Vec4::new(0.0, scale.y, 0.0, 0.0),
            Vec4::new(0.0, 0.0, scale.z, 0.0),
            Vec4::W,
        )
    }

    /// Creates a 4x4 matrix from the first 16 values in `slice`.
    ///
    /// # Panics
    ///
    /// Panics if `slice` is less than 16 elements long.
    #[inline]
    pub const fn from_cols_slice(slice: &[f32]) -> Self {
        Self::new(
            slice[0], slice[1], slice[2], slice[3], slice[4], slice[5], slice[6], slice[7],
            slice[8], slice[9], slice[10], slice[11], slice[12], slice[13], slice[14], slice[15],
        )
    }

    /// Writes the columns of `self` to the first 16 elements in `slice`.
    ///
    /// # Panics
    ///
    /// Panics if `slice` is less than 16 elements long.
    #[inline]
    pub fn write_cols_to_slice(self, slice: &mut [f32]) {
        slice[0] = self.x_axis.x;
        slice[1] = self.x_axis.y;
        slice[2] = self.x_axis.z;
        slice[3] = self.x_axis.w;
        slice[4] = self.y_axis.x;
        slice[5] = self.y_axis.y;
        slice[6] = self.y_axis.z;
        slice[7] = self.y_axis.w;
        slice[8] = self.z_axis.x;
        slice[9] = self.z_axis.y;
        slice[10] = self.z_axis.z;
        slice[11] = self.z_axis.w;
        slice[12] = self.w_axis.x;
        slice[13] = self.w_axis.y;
        slice[14] = self.w_axis.z;
        slice[15] = self.w_axis.w;
    }

    /// Returns the matrix column for the given `index`.
    ///
    /// # Panics
    ///
    /// Panics if `index` is greater than 3.
    #[inline]
    pub fn col(&self, index: usize) -> Vec4 {
        match index {
            0 => self.x_axis,
            1 => self.y_axis,
            2 => self.z_axis,
            3 => self.w_axis,
            _ => panic!("index out of bounds"),
        }
    }

    /// Returns a mutable reference to the matrix column for the given `index`.
    ///
    /// # Panics
    ///
    /// Panics if `index` is greater than 3.
    #[inline]
    pub fn col_mut(&mut self, index: usize) -> &mut Vec4 {
        match index {
            0 => &mut self.x_axis,
            1 => &mut self.y_axis,
            2 => &mut self.z_axis,
            3 => &mut self.w_axis,
            _ => panic!("index out of bounds"),
        }
    }

    /// Returns the matrix row for the given `index`.
    ///
    /// # Panics
    ///
    /// Panics if `index` is greater than 3.
    #[inline]
    pub fn row(&self, index: usize) -> Vec4 {
        match index {
            0 => Vec4::new(self.x_axis.x, self.y_axis.x, self.z_axis.x, self.w_axis.x),
            1 => Vec4::new(self.x_axis.y, self.y_axis.y, self.z_axis.y, self.w_axis.y),
            2 => Vec4::new(self.x_axis.z, self.y_axis.z, self.z_axis.z, self.w_axis.z),
            3 => Vec4::new(self.x_axis.w, self.y_axis.w, self.z_axis.w, self.w_axis.w),
            _ => panic!("index out of bounds"),
        }
    }

    /// 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]
    pub fn is_finite(&self) -> bool {
        self.x_axis.is_finite()
            && self.y_axis.is_finite()
            && self.z_axis.is_finite()
            && self.w_axis.is_finite()
    }

    /// Returns `true` if any elements are `NaN`.
    #[inline]
    pub fn is_nan(&self) -> bool {
        self.x_axis.is_nan() || self.y_axis.is_nan() || self.z_axis.is_nan() || self.w_axis.is_nan()
    }

    /// Returns the transpose of `self`.
    #[must_use]
    #[inline]
    pub fn transpose(&self) -> Self {
        // Based on https://github.com/microsoft/DirectXMath `XMMatrixTranspose`
        let tmp0 = simd_swizzle!(
            self.x_axis.0,
            self.y_axis.0,
            [First(0), First(1), Second(0), Second(1)]
        );
        let tmp1 = simd_swizzle!(
            self.x_axis.0,
            self.y_axis.0,
            [First(2), First(3), Second(2), Second(3)]
        );
        let tmp2 = simd_swizzle!(
            self.z_axis.0,
            self.w_axis.0,
            [First(0), First(1), Second(0), Second(1)]
        );
        let tmp3 = simd_swizzle!(
            self.z_axis.0,
            self.w_axis.0,
            [First(2), First(3), Second(2), Second(3)]
        );

        Self {
            x_axis: Vec4(simd_swizzle!(
                tmp0,
                tmp2,
                [First(0), First(2), Second(0), Second(2)]
            )),
            y_axis: Vec4(simd_swizzle!(
                tmp0,
                tmp2,
                [First(1), First(3), Second(1), Second(3)]
            )),
            z_axis: Vec4(simd_swizzle!(
                tmp1,
                tmp3,
                [First(0), First(2), Second(0), Second(2)]
            )),
            w_axis: Vec4(simd_swizzle!(
                tmp1,
                tmp3,
                [First(1), First(3), Second(1), Second(3)]
            )),
        }
    }

    /// Returns the determinant of `self`.
    pub fn determinant(&self) -> f32 {
        // Based on https://github.com/g-truc/glm `glm_mat4_determinant`
        let swp2a = simd_swizzle!(self.z_axis.0, [2, 1, 1, 0]);
        let swp3a = simd_swizzle!(self.w_axis.0, [3, 3, 2, 3]);
        let swp2b = simd_swizzle!(self.z_axis.0, [3, 3, 2, 3]);
        let swp3b = simd_swizzle!(self.w_axis.0, [2, 1, 1, 0]);
        let swp2c = simd_swizzle!(self.z_axis.0, [2, 1, 0, 0]);
        let swp3c = simd_swizzle!(self.w_axis.0, [0, 0, 2, 1]);

        let mula = swp2a * swp3a;
        let mulb = swp2b * swp3b;
        let mulc = swp2c * swp3c;
        let sube = mula - mulb;
        let subf = simd_swizzle!(mulc, [2, 3, 2, 3]) - mulc;

        let subfaca = simd_swizzle!(sube, [0, 0, 1, 2]);
        let swpfaca = simd_swizzle!(self.y_axis.0, [1, 0, 0, 0]);
        let mulfaca = swpfaca * subfaca;

        let subtmpb = simd_swizzle!(sube, subf, [First(1), First(3), Second(0), Second(0)]);
        let subfacb = simd_swizzle!(subtmpb, [0, 1, 1, 3]);
        let swpfacb = simd_swizzle!(self.y_axis.0, [2, 2, 1, 1]);
        let mulfacb = swpfacb * subfacb;

        let subres = mulfaca - mulfacb;
        let subtmpc = simd_swizzle!(sube, subf, [First(2), First(2), Second(0), Second(1)]);
        let subfacc = simd_swizzle!(subtmpc, [0, 2, 3, 3]);
        let swpfacc = simd_swizzle!(self.y_axis.0, [3, 3, 3, 2]);
        let mulfacc = swpfacc * subfacc;

        let addres = subres + mulfacc;
        let detcof = addres * f32x4::from_array([1.0, -1.0, 1.0, -1.0]);

        dot4(self.x_axis.0, detcof)
    }

    /// Returns the inverse of `self`.
    ///
    /// If the matrix is not invertible the returned matrix will be invalid.
    ///
    /// # Panics
    ///
    /// Will panic if the determinant of `self` is zero when `glam_assert` is enabled.
    #[must_use]
    pub fn inverse(&self) -> Self {
        // Based on https://github.com/g-truc/glm `glm_mat4_inverse`
        let fac0 = {
            let swp0a = simd_swizzle!(
                self.w_axis.0,
                self.z_axis.0,
                [First(3), First(3), Second(3), Second(3)]
            );
            let swp0b = simd_swizzle!(
                self.w_axis.0,
                self.z_axis.0,
                [First(2), First(2), Second(2), Second(2)]
            );

            let swp00 = simd_swizzle!(
                self.z_axis.0,
                self.y_axis.0,
                [First(2), First(2), Second(2), Second(2)]
            );
            let swp01 = simd_swizzle!(swp0a, [0, 0, 0, 2]);
            let swp02 = simd_swizzle!(swp0b, [0, 0, 0, 2]);
            let swp03 = simd_swizzle!(
                self.z_axis.0,
                self.y_axis.0,
                [First(3), First(3), Second(3), Second(3)]
            );

            let mul00 = swp00 * swp01;
            let mul01 = swp02 * swp03;
            mul00 - mul01
        };
        let fac1 = {
            let swp0a = simd_swizzle!(
                self.w_axis.0,
                self.z_axis.0,
                [First(3), First(3), Second(3), Second(3)]
            );
            let swp0b = simd_swizzle!(
                self.w_axis.0,
                self.z_axis.0,
                [First(1), First(1), Second(1), Second(1)]
            );

            let swp00 = simd_swizzle!(
                self.z_axis.0,
                self.y_axis.0,
                [First(1), First(1), Second(1), Second(1)]
            );
            let swp01 = simd_swizzle!(swp0a, [0, 0, 0, 2]);
            let swp02 = simd_swizzle!(swp0b, [0, 0, 0, 2]);
            let swp03 = simd_swizzle!(
                self.z_axis.0,
                self.y_axis.0,
                [First(3), First(3), Second(3), Second(3)]
            );

            let mul00 = swp00 * swp01;
            let mul01 = swp02 * swp03;
            mul00 - mul01
        };
        let fac2 = {
            let swp0a = simd_swizzle!(
                self.w_axis.0,
                self.z_axis.0,
                [First(2), First(2), Second(2), Second(2)]
            );
            let swp0b = simd_swizzle!(
                self.w_axis.0,
                self.z_axis.0,
                [First(1), First(1), Second(1), Second(1)]
            );

            let swp00 = simd_swizzle!(
                self.z_axis.0,
                self.y_axis.0,
                [First(1), First(1), Second(1), Second(1)]
            );
            let swp01 = simd_swizzle!(swp0a, [0, 0, 0, 2]);
            let swp02 = simd_swizzle!(swp0b, [0, 0, 0, 2]);
            let swp03 = simd_swizzle!(
                self.z_axis.0,
                self.y_axis.0,
                [First(2), First(2), Second(2), Second(2)]
            );

            let mul00 = swp00 * swp01;
            let mul01 = swp02 * swp03;
            mul00 - mul01
        };
        let fac3 = {
            let swp0a = simd_swizzle!(
                self.w_axis.0,
                self.z_axis.0,
                [First(3), First(3), Second(3), Second(3)]
            );
            let swp0b = simd_swizzle!(
                self.w_axis.0,
                self.z_axis.0,
                [First(0), First(0), Second(0), Second(0)]
            );

            let swp00 = simd_swizzle!(
                self.z_axis.0,
                self.y_axis.0,
                [First(0), First(0), Second(0), Second(0)]
            );
            let swp01 = simd_swizzle!(swp0a, [0, 0, 0, 2]);
            let swp02 = simd_swizzle!(swp0b, [0, 0, 0, 2]);
            let swp03 = simd_swizzle!(
                self.z_axis.0,
                self.y_axis.0,
                [First(3), First(3), Second(3), Second(3)]
            );

            let mul00 = swp00 * swp01;
            let mul01 = swp02 * swp03;
            mul00 - mul01
        };
        let fac4 = {
            let swp0a = simd_swizzle!(
                self.w_axis.0,
                self.z_axis.0,
                [First(2), First(2), Second(2), Second(2)]
            );
            let swp0b = simd_swizzle!(
                self.w_axis.0,
                self.z_axis.0,
                [First(0), First(0), Second(0), Second(0)]
            );

            let swp00 = simd_swizzle!(
                self.z_axis.0,
                self.y_axis.0,
                [First(0), First(0), Second(0), Second(0)]
            );
            let swp01 = simd_swizzle!(swp0a, [0, 0, 0, 2]);
            let swp02 = simd_swizzle!(swp0b, [0, 0, 0, 2]);
            let swp03 = simd_swizzle!(
                self.z_axis.0,
                self.y_axis.0,
                [First(2), First(2), Second(2), Second(2)]
            );

            let mul00 = swp00 * swp01;
            let mul01 = swp02 * swp03;
            mul00 - mul01
        };
        let fac5 = {
            let swp0a = simd_swizzle!(
                self.w_axis.0,
                self.z_axis.0,
                [First(1), First(1), Second(1), Second(1)]
            );
            let swp0b = simd_swizzle!(
                self.w_axis.0,
                self.z_axis.0,
                [First(0), First(0), Second(0), Second(0)]
            );

            let swp00 = simd_swizzle!(
                self.z_axis.0,
                self.y_axis.0,
                [First(0), First(0), Second(0), Second(0)]
            );
            let swp01 = simd_swizzle!(swp0a, [0, 0, 0, 2]);
            let swp02 = simd_swizzle!(swp0b, [0, 0, 0, 2]);
            let swp03 = simd_swizzle!(
                self.z_axis.0,
                self.y_axis.0,
                [First(1), First(1), Second(1), Second(1)]
            );

            let mul00 = swp00 * swp01;
            let mul01 = swp02 * swp03;
            mul00 - mul01
        };
        let sign_a = f32x4::from_array([-1.0, 1.0, -1.0, 1.0]);
        let sign_b = f32x4::from_array([1.0, -1.0, 1.0, -1.0]);

        let temp0 = simd_swizzle!(
            self.y_axis.0,
            self.x_axis.0,
            [First(0), First(0), Second(0), Second(0)]
        );
        let vec0 = simd_swizzle!(temp0, [0, 2, 2, 2]);

        let temp1 = simd_swizzle!(
            self.y_axis.0,
            self.x_axis.0,
            [First(1), First(1), Second(1), Second(1)]
        );
        let vec1 = simd_swizzle!(temp1, [0, 2, 2, 2]);

        let temp2 = simd_swizzle!(
            self.y_axis.0,
            self.x_axis.0,
            [First(2), First(2), Second(2), Second(2)]
        );
        let vec2 = simd_swizzle!(temp2, [0, 2, 2, 2]);

        let temp3 = simd_swizzle!(
            self.y_axis.0,
            self.x_axis.0,
            [First(3), First(3), Second(3), Second(3)]
        );
        let vec3 = simd_swizzle!(temp3, [0, 2, 2, 2]);

        let mul00 = vec1 * fac0;
        let mul01 = vec2 * fac1;
        let mul02 = vec3 * fac2;
        let sub00 = mul00 - mul01;
        let add00 = sub00 + mul02;
        let inv0 = sign_b * add00;

        let mul03 = vec0 * fac0;
        let mul04 = vec2 * fac3;
        let mul05 = vec3 * fac4;
        let sub01 = mul03 - mul04;
        let add01 = sub01 + mul05;
        let inv1 = sign_a * add01;

        let mul06 = vec0 * fac1;
        let mul07 = vec1 * fac3;
        let mul08 = vec3 * fac5;
        let sub02 = mul06 - mul07;
        let add02 = sub02 + mul08;
        let inv2 = sign_b * add02;

        let mul09 = vec0 * fac2;
        let mul10 = vec1 * fac4;
        let mul11 = vec2 * fac5;
        let sub03 = mul09 - mul10;
        let add03 = sub03 + mul11;
        let inv3 = sign_a * add03;

        let row0 = simd_swizzle!(inv0, inv1, [First(0), First(0), Second(0), Second(0)]);
        let row1 = simd_swizzle!(inv2, inv3, [First(0), First(0), Second(0), Second(0)]);
        let row2 = simd_swizzle!(row0, row1, [First(0), First(2), Second(0), Second(2)]);

        let dot0 = dot4(self.x_axis.0, row2);
        glam_assert!(dot0 != 0.0);

        let rcp0 = f32x4::splat(dot0.recip());

        Self {
            x_axis: Vec4(inv0 * rcp0),
            y_axis: Vec4(inv1 * rcp0),
            z_axis: Vec4(inv2 * rcp0),
            w_axis: Vec4(inv3 * rcp0),
        }
    }

    #[inline]
    fn look_to_lh(eye: Vec3, dir: Vec3, up: Vec3) -> Self {
        let f = dir.normalize();
        let s = up.cross(f).normalize();
        let u = f.cross(s);
        Self::from_cols(
            Vec4::new(s.x, u.x, f.x, 0.0),
            Vec4::new(s.y, u.y, f.y, 0.0),
            Vec4::new(s.z, u.z, f.z, 0.0),
            Vec4::new(-s.dot(eye), -u.dot(eye), -f.dot(eye), 1.0),
        )
    }

    /// Creates a left-handed view matrix using a camera position, an up direction, and a focal
    /// point.
    /// For a view coordinate system with `+X=right`, `+Y=up` and `+Z=forward`.
    ///
    /// # Panics
    ///
    /// Will panic if `up` is not normalized when `glam_assert` is enabled.
    #[inline]
    pub fn look_at_lh(eye: Vec3, center: Vec3, up: Vec3) -> Self {
        glam_assert!(up.is_normalized());
        Self::look_to_lh(eye, center.sub(eye), up)
    }

    /// Creates a right-handed view matrix using a camera position, an up direction, and a focal
    /// point.
    /// For a view coordinate system with `+X=right`, `+Y=up` and `+Z=back`.
    ///
    /// # Panics
    ///
    /// Will panic if `up` is not normalized when `glam_assert` is enabled.
    #[inline]
    pub fn look_at_rh(eye: Vec3, center: Vec3, up: Vec3) -> Self {
        glam_assert!(up.is_normalized());
        Self::look_to_lh(eye, eye.sub(center), up)
    }

    /// Creates a right-handed perspective projection matrix with [-1,1] depth range.
    /// This is the same as the OpenGL `gluPerspective` function.
    /// See <https://www.khronos.org/registry/OpenGL-Refpages/gl2.1/xhtml/gluPerspective.xml>
    #[inline]
    pub fn perspective_rh_gl(
        fov_y_radians: f32,
        aspect_ratio: f32,
        z_near: f32,
        z_far: f32,
    ) -> Self {
        let inv_length = 1.0 / (z_near - z_far);
        let f = 1.0 / (0.5 * fov_y_radians).tan();
        let a = f / aspect_ratio;
        let b = (z_near + z_far) * inv_length;
        let c = (2.0 * z_near * z_far) * inv_length;
        Self::from_cols(
            Vec4::new(a, 0.0, 0.0, 0.0),
            Vec4::new(0.0, f, 0.0, 0.0),
            Vec4::new(0.0, 0.0, b, -1.0),
            Vec4::new(0.0, 0.0, c, 0.0),
        )
    }

    /// Creates a left-handed perspective projection matrix with `[0,1]` depth range.
    ///
    /// # Panics
    ///
    /// Will panic if `z_near` or `z_far` are less than or equal to zero when `glam_assert` is
    /// enabled.
    #[inline]
    pub fn perspective_lh(fov_y_radians: f32, aspect_ratio: f32, z_near: f32, z_far: f32) -> Self {
        glam_assert!(z_near > 0.0 && z_far > 0.0);
        let (sin_fov, cos_fov) = (0.5 * fov_y_radians).sin_cos();
        let h = cos_fov / sin_fov;
        let w = h / aspect_ratio;
        let r = z_far / (z_far - z_near);
        Self::from_cols(
            Vec4::new(w, 0.0, 0.0, 0.0),
            Vec4::new(0.0, h, 0.0, 0.0),
            Vec4::new(0.0, 0.0, r, 1.0),
            Vec4::new(0.0, 0.0, -r * z_near, 0.0),
        )
    }

    /// Creates a right-handed perspective projection matrix with `[0,1]` depth range.
    ///
    /// # Panics
    ///
    /// Will panic if `z_near` or `z_far` are less than or equal to zero when `glam_assert` is
    /// enabled.
    #[inline]
    pub fn perspective_rh(fov_y_radians: f32, aspect_ratio: f32, z_near: f32, z_far: f32) -> Self {
        glam_assert!(z_near > 0.0 && z_far > 0.0);
        let (sin_fov, cos_fov) = (0.5 * fov_y_radians).sin_cos();
        let h = cos_fov / sin_fov;
        let w = h / aspect_ratio;
        let r = z_far / (z_near - z_far);
        Self::from_cols(
            Vec4::new(w, 0.0, 0.0, 0.0),
            Vec4::new(0.0, h, 0.0, 0.0),
            Vec4::new(0.0, 0.0, r, -1.0),
            Vec4::new(0.0, 0.0, r * z_near, 0.0),
        )
    }

    /// Creates an infinite left-handed perspective projection matrix with `[0,1]` depth range.
    ///
    /// # Panics
    ///
    /// Will panic if `z_near` is less than or equal to zero when `glam_assert` is enabled.
    #[inline]
    pub fn perspective_infinite_lh(fov_y_radians: f32, aspect_ratio: f32, z_near: f32) -> Self {
        glam_assert!(z_near > 0.0);
        let (sin_fov, cos_fov) = (0.5 * fov_y_radians).sin_cos();
        let h = cos_fov / sin_fov;
        let w = h / aspect_ratio;
        Self::from_cols(
            Vec4::new(w, 0.0, 0.0, 0.0),
            Vec4::new(0.0, h, 0.0, 0.0),
            Vec4::new(0.0, 0.0, 1.0, 1.0),
            Vec4::new(0.0, 0.0, -z_near, 0.0),
        )
    }

    /// Creates an infinite left-handed perspective projection matrix with `[0,1]` depth range.
    ///
    /// # Panics
    ///
    /// Will panic if `z_near` is less than or equal to zero when `glam_assert` is enabled.
    #[inline]
    pub fn perspective_infinite_reverse_lh(
        fov_y_radians: f32,
        aspect_ratio: f32,
        z_near: f32,
    ) -> Self {
        glam_assert!(z_near > 0.0);
        let (sin_fov, cos_fov) = (0.5 * fov_y_radians).sin_cos();
        let h = cos_fov / sin_fov;
        let w = h / aspect_ratio;
        Self::from_cols(
            Vec4::new(w, 0.0, 0.0, 0.0),
            Vec4::new(0.0, h, 0.0, 0.0),
            Vec4::new(0.0, 0.0, 0.0, 1.0),
            Vec4::new(0.0, 0.0, z_near, 0.0),
        )
    }

    /// Creates an infinite right-handed perspective projection matrix with
    /// `[0,1]` depth range.
    #[inline]
    pub fn perspective_infinite_rh(fov_y_radians: f32, aspect_ratio: f32, z_near: f32) -> Self {
        glam_assert!(z_near > 0.0);
        let f = 1.0 / (0.5 * fov_y_radians).tan();
        Self::from_cols(
            Vec4::new(f / aspect_ratio, 0.0, 0.0, 0.0),
            Vec4::new(0.0, f, 0.0, 0.0),
            Vec4::new(0.0, 0.0, -1.0, -1.0),
            Vec4::new(0.0, 0.0, -z_near, 0.0),
        )
    }

    /// Creates an infinite reverse right-handed perspective projection matrix
    /// with `[0,1]` depth range.
    #[inline]
    pub fn perspective_infinite_reverse_rh(
        fov_y_radians: f32,
        aspect_ratio: f32,
        z_near: f32,
    ) -> Self {
        glam_assert!(z_near > 0.0);
        let f = 1.0 / (0.5 * fov_y_radians).tan();
        Self::from_cols(
            Vec4::new(f / aspect_ratio, 0.0, 0.0, 0.0),
            Vec4::new(0.0, f, 0.0, 0.0),
            Vec4::new(0.0, 0.0, 0.0, -1.0),
            Vec4::new(0.0, 0.0, z_near, 0.0),
        )
    }

    /// Creates a right-handed orthographic projection matrix with `[-1,1]` depth
    /// range.  This is the same as the OpenGL `glOrtho` function in OpenGL.
    /// See
    /// <https://www.khronos.org/registry/OpenGL-Refpages/gl2.1/xhtml/glOrtho.xml>
    #[inline]
    pub fn orthographic_rh_gl(
        left: f32,
        right: f32,
        bottom: f32,
        top: f32,
        near: f32,
        far: f32,
    ) -> Self {
        let a = 2.0 / (right - left);
        let b = 2.0 / (top - bottom);
        let c = -2.0 / (far - near);
        let tx = -(right + left) / (right - left);
        let ty = -(top + bottom) / (top - bottom);
        let tz = -(far + near) / (far - near);

        Self::from_cols(
            Vec4::new(a, 0.0, 0.0, 0.0),
            Vec4::new(0.0, b, 0.0, 0.0),
            Vec4::new(0.0, 0.0, c, 0.0),
            Vec4::new(tx, ty, tz, 1.0),
        )
    }

    /// Creates a left-handed orthographic projection matrix with `[0,1]` depth range.
    #[inline]
    pub fn orthographic_lh(
        left: f32,
        right: f32,
        bottom: f32,
        top: f32,
        near: f32,
        far: f32,
    ) -> Self {
        let rcp_width = 1.0 / (right - left);
        let rcp_height = 1.0 / (top - bottom);
        let r = 1.0 / (far - near);
        Self::from_cols(
            Vec4::new(rcp_width + rcp_width, 0.0, 0.0, 0.0),
            Vec4::new(0.0, rcp_height + rcp_height, 0.0, 0.0),
            Vec4::new(0.0, 0.0, r, 0.0),
            Vec4::new(
                -(left + right) * rcp_width,
                -(top + bottom) * rcp_height,
                -r * near,
                1.0,
            ),
        )
    }

    /// Creates a right-handed orthographic projection matrix with `[0,1]` depth range.
    #[inline]
    pub fn orthographic_rh(
        left: f32,
        right: f32,
        bottom: f32,
        top: f32,
        near: f32,
        far: f32,
    ) -> Self {
        let rcp_width = 1.0 / (right - left);
        let rcp_height = 1.0 / (top - bottom);
        let r = 1.0 / (near - far);
        Self::from_cols(
            Vec4::new(rcp_width + rcp_width, 0.0, 0.0, 0.0),
            Vec4::new(0.0, rcp_height + rcp_height, 0.0, 0.0),
            Vec4::new(0.0, 0.0, r, 0.0),
            Vec4::new(
                -(left + right) * rcp_width,
                -(top + bottom) * rcp_height,
                r * near,
                1.0,
            ),
        )
    }

    /// Transforms the given 3D vector as a point, applying perspective correction.
    ///
    /// This is the equivalent of multiplying the 3D vector as a 4D vector where `w` is `1.0`.
    /// The perspective divide is performed meaning the resulting 3D vector is divided by `w`.
    ///
    /// This method assumes that `self` contains a projective transform.
    #[inline]
    pub fn project_point3(&self, rhs: Vec3) -> Vec3 {
        let mut res = self.x_axis.mul(rhs.x);
        res = self.y_axis.mul(rhs.y).add(res);
        res = self.z_axis.mul(rhs.z).add(res);
        res = self.w_axis.add(res);
        res = res.mul(res.wwww().recip());
        res.xyz()
    }

    /// Transforms the given 3D vector as a point.
    ///
    /// This is the equivalent of multiplying the 3D vector as a 4D vector where `w` is
    /// `1.0`.
    ///
    /// This method assumes that `self` contains a valid affine transform. It does not perform
    /// a persective divide, if `self` contains a perspective transform, or if you are unsure,
    /// the [`Self::project_point3()`] method should be used instead.
    ///
    /// # Panics
    ///
    /// Will panic if the 3rd row of `self` is not `(0, 0, 0, 1)` when `glam_assert` is enabled.
    #[inline]
    pub fn transform_point3(&self, rhs: Vec3) -> Vec3 {
        glam_assert!(self.row(3).abs_diff_eq(Vec4::W, 1e-6));
        let mut res = self.x_axis.mul(rhs.x);
        res = self.y_axis.mul(rhs.y).add(res);
        res = self.z_axis.mul(rhs.z).add(res);
        res = self.w_axis.add(res);
        res.xyz()
    }

    /// Transforms the give 3D vector as a direction.
    ///
    /// This is the equivalent of multiplying the 3D vector as a 4D vector where `w` is
    /// `0.0`.
    ///
    /// This method assumes that `self` contains a valid affine transform.
    ///
    /// # Panics
    ///
    /// Will panic if the 3rd row of `self` is not `(0, 0, 0, 1)` when `glam_assert` is enabled.
    #[inline]
    pub fn transform_vector3(&self, rhs: Vec3) -> Vec3 {
        glam_assert!(self.row(3).abs_diff_eq(Vec4::W, 1e-6));
        let mut res = self.x_axis.mul(rhs.x);
        res = self.y_axis.mul(rhs.y).add(res);
        res = self.z_axis.mul(rhs.z).add(res);
        res.xyz()
    }

    /// Transforms the given `Vec3A` as 3D point.
    ///
    /// This is the equivalent of multiplying the `Vec3A` as a 4D vector where `w` is `1.0`.
    #[inline]
    pub fn transform_point3a(&self, rhs: Vec3A) -> Vec3A {
        glam_assert!(self.row(3).abs_diff_eq(Vec4::W, 1e-6));
        let mut res = self.x_axis.mul(rhs.xxxx());
        res = self.y_axis.mul(rhs.yyyy()).add(res);
        res = self.z_axis.mul(rhs.zzzz()).add(res);
        res = self.w_axis.add(res);
        res.into()
    }

    /// Transforms the give `Vec3A` as 3D vector.
    ///
    /// This is the equivalent of multiplying the `Vec3A` as a 4D vector where `w` is `0.0`.
    #[inline]
    pub fn transform_vector3a(&self, rhs: Vec3A) -> Vec3A {
        glam_assert!(self.row(3).abs_diff_eq(Vec4::W, 1e-6));
        let mut res = self.x_axis.mul(rhs.xxxx());
        res = self.y_axis.mul(rhs.yyyy()).add(res);
        res = self.z_axis.mul(rhs.zzzz()).add(res);
        res.into()
    }

    /// Transforms a 4D vector.
    #[inline]
    pub fn mul_vec4(&self, rhs: Vec4) -> Vec4 {
        let mut res = self.x_axis.mul(rhs.xxxx());
        res = res.add(self.y_axis.mul(rhs.yyyy()));
        res = res.add(self.z_axis.mul(rhs.zzzz()));
        res = res.add(self.w_axis.mul(rhs.wwww()));
        res
    }

    /// Multiplies two 4x4 matrices.
    #[inline]
    pub fn mul_mat4(&self, rhs: &Self) -> Self {
        Self::from_cols(
            self.mul(rhs.x_axis),
            self.mul(rhs.y_axis),
            self.mul(rhs.z_axis),
            self.mul(rhs.w_axis),
        )
    }

    /// Adds two 4x4 matrices.
    #[inline]
    pub fn add_mat4(&self, rhs: &Self) -> Self {
        Self::from_cols(
            self.x_axis.add(rhs.x_axis),
            self.y_axis.add(rhs.y_axis),
            self.z_axis.add(rhs.z_axis),
            self.w_axis.add(rhs.w_axis),
        )
    }

    /// Subtracts two 4x4 matrices.
    #[inline]
    pub fn sub_mat4(&self, rhs: &Self) -> Self {
        Self::from_cols(
            self.x_axis.sub(rhs.x_axis),
            self.y_axis.sub(rhs.y_axis),
            self.z_axis.sub(rhs.z_axis),
            self.w_axis.sub(rhs.w_axis),
        )
    }

    /// Multiplies a 4x4 matrix by a scalar.
    #[inline]
    pub fn mul_scalar(&self, rhs: f32) -> Self {
        Self::from_cols(
            self.x_axis.mul(rhs),
            self.y_axis.mul(rhs),
            self.z_axis.mul(rhs),
            self.w_axis.mul(rhs),
        )
    }

    /// Returns true if the absolute difference of all elements between `self` and `rhs`
    /// is less than or equal to `max_abs_diff`.
    ///
    /// This can be used to compare if two matrices 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]
    pub fn abs_diff_eq(&self, rhs: Self, max_abs_diff: f32) -> bool {
        self.x_axis.abs_diff_eq(rhs.x_axis, max_abs_diff)
            && self.y_axis.abs_diff_eq(rhs.y_axis, max_abs_diff)
            && self.z_axis.abs_diff_eq(rhs.z_axis, max_abs_diff)
            && self.w_axis.abs_diff_eq(rhs.w_axis, max_abs_diff)
    }

    #[inline]
    pub fn as_dmat4(&self) -> DMat4 {
        DMat4::from_cols(
            self.x_axis.as_dvec4(),
            self.y_axis.as_dvec4(),
            self.z_axis.as_dvec4(),
            self.w_axis.as_dvec4(),
        )
    }
}

impl Default for Mat4 {
    #[inline]
    fn default() -> Self {
        Self::IDENTITY
    }
}

impl Add<Mat4> for Mat4 {
    type Output = Self;
    #[inline]
    fn add(self, rhs: Self) -> Self::Output {
        self.add_mat4(&rhs)
    }
}

impl AddAssign<Mat4> for Mat4 {
    #[inline]
    fn add_assign(&mut self, rhs: Self) {
        *self = self.add_mat4(&rhs);
    }
}

impl Sub<Mat4> for Mat4 {
    type Output = Self;
    #[inline]
    fn sub(self, rhs: Self) -> Self::Output {
        self.sub_mat4(&rhs)
    }
}

impl SubAssign<Mat4> for Mat4 {
    #[inline]
    fn sub_assign(&mut self, rhs: Self) {
        *self = self.sub_mat4(&rhs);
    }
}

impl Neg for Mat4 {
    type Output = Self;
    #[inline]
    fn neg(self) -> Self::Output {
        Self::from_cols(
            self.x_axis.neg(),
            self.y_axis.neg(),
            self.z_axis.neg(),
            self.w_axis.neg(),
        )
    }
}

impl Mul<Mat4> for Mat4 {
    type Output = Self;
    #[inline]
    fn mul(self, rhs: Self) -> Self::Output {
        self.mul_mat4(&rhs)
    }
}

impl MulAssign<Mat4> for Mat4 {
    #[inline]
    fn mul_assign(&mut self, rhs: Self) {
        *self = self.mul_mat4(&rhs);
    }
}

impl Mul<Vec4> for Mat4 {
    type Output = Vec4;
    #[inline]
    fn mul(self, rhs: Vec4) -> Self::Output {
        self.mul_vec4(rhs)
    }
}

impl Mul<Mat4> for f32 {
    type Output = Mat4;
    #[inline]
    fn mul(self, rhs: Mat4) -> Self::Output {
        rhs.mul_scalar(self)
    }
}

impl Mul<f32> for Mat4 {
    type Output = Self;
    #[inline]
    fn mul(self, rhs: f32) -> Self::Output {
        self.mul_scalar(rhs)
    }
}

impl MulAssign<f32> for Mat4 {
    #[inline]
    fn mul_assign(&mut self, rhs: f32) {
        *self = self.mul_scalar(rhs);
    }
}

impl<'a> Sum<&'a Self> for Mat4 {
    fn sum<I>(iter: I) -> Self
    where
        I: Iterator<Item = &'a Self>,
    {
        iter.fold(Self::ZERO, |a, &b| Self::add(a, b))
    }
}

impl<'a> Product<&'a Self> for Mat4 {
    fn product<I>(iter: I) -> Self
    where
        I: Iterator<Item = &'a Self>,
    {
        iter.fold(Self::IDENTITY, |a, &b| Self::mul(a, b))
    }
}

impl PartialEq for Mat4 {
    #[inline]
    fn eq(&self, rhs: &Self) -> bool {
        self.x_axis.eq(&rhs.x_axis)
            && self.y_axis.eq(&rhs.y_axis)
            && self.z_axis.eq(&rhs.z_axis)
            && self.w_axis.eq(&rhs.w_axis)
    }
}

#[cfg(not(target_arch = "spirv"))]
impl AsRef<[f32; 16]> for Mat4 {
    #[inline]
    fn as_ref(&self) -> &[f32; 16] {
        unsafe { &*(self as *const Self as *const [f32; 16]) }
    }
}

#[cfg(not(target_arch = "spirv"))]
impl AsMut<[f32; 16]> for Mat4 {
    #[inline]
    fn as_mut(&mut self) -> &mut [f32; 16] {
        unsafe { &mut *(self as *mut Self as *mut [f32; 16]) }
    }
}

#[cfg(not(target_arch = "spirv"))]
impl fmt::Debug for Mat4 {
    fn fmt(&self, fmt: &mut fmt::Formatter<'_>) -> fmt::Result {
        fmt.debug_struct(stringify!(Mat4))
            .field("x_axis", &self.x_axis)
            .field("y_axis", &self.y_axis)
            .field("z_axis", &self.z_axis)
            .field("w_axis", &self.w_axis)
            .finish()
    }
}

#[cfg(not(target_arch = "spirv"))]
impl fmt::Display for Mat4 {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        write!(
            f,
            "[{}, {}, {}, {}]",
            self.x_axis, self.y_axis, self.z_axis, self.w_axis
        )
    }
}
