Struct glam::f32::Affine2

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pub struct Affine2 {
    pub matrix2: Mat2,
    pub translation: Vec2,
}

Expand description

A 2D affine transform, which can represent translation, rotation, scaling and shear.

Fields§

§matrix2: Mat2§translation: Vec2

Implementations§

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impl Affine2

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pub const ZERO: Self = _

The degenerate zero transform.

This transforms any finite vector and point to zero. The zero transform is non-invertible.

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pub const IDENTITY: Self = _

The identity transform.

Multiplying a vector with this returns the same vector.

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pub fn from_cols(x_axis: Vec2, y_axis: Vec2, z_axis: Vec2) -> Self

Creates an affine transform from three column vectors.

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pub fn from_cols_array(m: &[f32; 6]) -> Self

Creates an affine transform from a [S; 6] array stored in column major order. If your data is stored in row major you will need to transpose the returned matrix.

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pub fn to_cols_array(&self) -> [f32; 6]

Creates a [S; 6] array storing data in column major order. If you require data in row major order transpose the matrix first.

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pub fn from_cols_array_2d(m: &[[f32; 2]; 3]) -> Self

Creates an affine transform from a [[S; 2]; 3] 2D array stored in column major order. If your data is in row major order you will need to transpose the returned matrix.

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pub fn to_cols_array_2d(&self) -> [[f32; 2]; 3]

Creates a [[S; 2]; 3] 2D array storing data in column major order. If you require data in row major order transpose the matrix first.

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pub fn from_cols_slice(slice: &[f32]) -> Self

Creates an affine transform from the first 6 values in slice.

Panics

Panics if slice is less than 6 elements long.

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pub fn write_cols_to_slice(self, slice: &mut [f32])

Writes the columns of self to the first 12 elements in slice.

Panics

Panics if slice is less than 12 elements long.

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pub fn from_scale(scale: Vec2) -> Self

Creates an affine transform that changes scale. Note that if any scale is zero the transform will be non-invertible.

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pub fn from_angle(angle: f32) -> Self

Creates an affine transform from the given rotation angle.

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pub fn from_translation(translation: Vec2) -> Self

Creates an affine transformation from the given 2D translation.

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pub fn from_mat2(matrix2: Mat2) -> Self

Creates an affine transform from a 2x2 matrix (expressing scale, shear and rotation)

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pub fn from_mat2_translation(matrix2: Mat2, translation: Vec2) -> Self

Creates an affine transform from a 2x2 matrix (expressing scale, shear and rotation) and a translation vector.

Equivalent to Affine2::from_translation(translation) * Affine2::from_mat2(mat2)

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pub fn from_scale_angle_translation( scale: Vec2, angle: f32, translation: Vec2 ) -> Self

Creates an affine transform from the given 2D scale, rotation angle (in radians) and translation.

Equivalent to Affine2::from_translation(translation) * Affine2::from_angle(angle) * Affine2::from_scale(scale)

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pub fn from_angle_translation(angle: f32, translation: Vec2) -> Self

Creates an affine transform from the given 2D rotation angle (in radians) and translation.

Equivalent to Affine2::from_translation(translation) * Affine2::from_angle(angle)

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pub fn from_mat3(m: Mat3) -> Self

The given Mat3 must be an affine transform,

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pub fn transform_point2(&self, other: Vec2) -> Vec2

Transforms the given 2D point, applying shear, scale, rotation and translation.

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pub fn transform_vector2(&self, other: Vec2) -> Vec2

Transforms the given 2D vector, applying shear, scale and rotation (but NOT translation).

To also apply translation, use Self::transform_point2 instead.

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pub fn is_finite(&self) -> bool

Returns true if, and only if, all elements are finite.

If any element is either NaN, positive or negative infinity, this will return false.

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pub fn is_nan(&self) -> bool

Returns true if any elements are NaN.

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pub fn abs_diff_eq(&self, other: Self, max_abs_diff: f32) -> bool

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 3x4 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.

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