MutableAffineTransform


class MutableAffineTransform : AffineTransform


An affine transformation in the plane. The transformation can be thought of as a 3x3 matrix:

⎡m00  m10  m20⎤
⎢m01 m11 m21⎥
⎣ 0 0 1 ⎦

Applying the transformation can be thought of as a matrix multiplication, with the to-be-transformed point represented as a column vector with an extra 1:

⎡m00  m10  m20⎤   ⎡x⎤   ⎡m00*x + m10*y + m20⎤
⎢m01 m11 m21⎥ * ⎢y⎥ = ⎢m01*x + m11*y + m21⎥
⎣ 0 0 1 ⎦ ⎣1⎦ ⎣ 1 ⎦

Transformations are composed via multiplication. Multiplication is not commutative (i.e. AB != BA), and the left-hand transformation is composed "after" the right hand transformation. E.g., if you have:

val rotate = ImmutableAffineTransform.rotate(Angle.degreesToRadians(45))
val translate = ImmutableAffineTransform.translate(Vec(10, 0))

then rotate * translate first translates 10 units in the positive x-direction, then rotates 45° about the origin.

See ImmutableAffineTransform for an immutable alternative to this class.

Summary

Public constructors

Constructs an identity MutableAffineTransform:

Public functions

open operator Boolean
equals(other: Any?)

Component-wise equality operator for MutableAffineTransform.

open Int
Unit
setValues(values: @Size(min = 6) FloatArray)

Like setValues, but accepts a FloatArray instead of individual float values.

Unit
setValues(m00: Float, m10: Float, m20: Float, m01: Float, m11: Float, m21: Float)

Populates this transform with the given values, starting with the top left corner of the matrix and proceeding in row-major order.

open String

Inherited functions

From androidx.ink.geometry.AffineTransform
MutableParallelogram
applyTransform(box: Box, outParallelogram: MutableParallelogram)

Apply the AffineTransform to the Box and store the result in the MutableParallelogram.

MutableParallelogram
applyTransform(
    parallelogram: Parallelogram,
    outParallelogram: MutableParallelogram
)

Apply the AffineTransform to the Parallelogram and store the result in the MutableParallelogram.

MutableSegment
applyTransform(segment: Segment, outSegment: MutableSegment)

Apply the AffineTransform to the Segment and store the result in the MutableSegment.

MutableTriangle
applyTransform(triangle: Triangle, outTriangle: MutableTriangle)

Apply the AffineTransform to the Triangle and store the result in the MutableTriangle.

MutableVec
applyTransform(vec: Vec, outVec: MutableVec)

Apply the AffineTransform to the Vec and store the result in the MutableVec.

MutableAffineTransform

Populates outAffineTransform with the inverse of this AffineTransform.

@Size(min = 6) FloatArray
getValues(outArray: @Size(min = 6) FloatArray)

Populates the first 6 elements of outArray with the values of this transform, starting with the top left corner of the matrix and proceeding in row-major order.

Public constructors

MutableAffineTransform

Added in 1.0.0-alpha01
MutableAffineTransform()

Constructs an identity MutableAffineTransform:

⎡1  0  0⎤
⎢0 1 0⎥
⎣0 0 1⎦

This is useful when pre-allocating a scratch instance to be filled later.

Public functions

equals

open operator fun equals(other: Any?): Boolean

Component-wise equality operator for MutableAffineTransform.

Due to the propagation floating point precision errors, operations that may be equivalent over the real numbers are not always equivalent for floats, and might return false for equals in some cases.

hashCode

open fun hashCode(): Int

setValues

Added in 1.0.0-alpha01
fun setValues(values: @Size(min = 6) FloatArray): Unit

Like setValues, but accepts a FloatArray instead of individual float values.

setValues

Added in 1.0.0-alpha01
fun setValues(m00: Float, m10: Float, m20: Float, m01: Float, m11: Float, m21: Float): Unit

Populates this transform with the given values, starting with the top left corner of the matrix and proceeding in row-major order.

Prefer to modify this object with functions that apply specific transform operations, such as populateFromScale or populateFromRotate, rather than directly setting the actual numeric values of this transform. This function is useful for when the values are needed to be provided in bulk, for example for serialization.

To access these values in the same order as they are set here, use AffineTransform.getValues.

toString

open fun toString(): String