Determine whether the content of this matrix is the same as the other by checking equality on the cell values. Sparse matrices with different dimensions, but the same valid indices can be equal.

copyOf

open override fun copyOf(): SingleValueMatrix<T>

Creates a copy of the matrix of an appropriate type with the same content.

forEach

open fun forEach(p0: Consumer<in T>)

forEach

inline fun <T> Matrix<T>.forEach(action: (T) -> Unit)

Perform the action for each value in the matrix. This version uses the non-sparse nature of the matrix.

inline fun <T> SparseMatrix<T>.forEach(action: (T) -> Unit)

Perform the action for each value in the (sparse) matrix.

forEachIndex

inline fun Matrix<*>.forEachIndex(action: (Int, Int) -> Unit)

Perform the action for each index in the matrix. This version uses the non-sparse nature of the matrix.

inline fun SparseMatrix<*>.forEachIndex(action: (Int, Int) -> Unit)

Perform the action for each index in the (sparse) matrix. This skips sparse indices.

get

open operator fun get(pos: Coordinate): T

operator override fun get(x: Int, y: Int): T

Whatever the actual type, allow them to be read to read any value. Implementations are expected to use more precise return types.

isValid

open fun isValid(pos: Coordinate): Boolean

open fun isValid(x: Int, y: Int): Boolean

This function can be used to determine whether the given coordinates are valid. Returns true if valid. This function works on any value for the coordinates and should return false for all values out of range (x<0 || x>=[maxWidth]), (y<0 || y>=[maxHeight]).

iterator

open operator override fun iterator(): Iterator<T>

Get an iterator over all elements in the (sparse) matrix.

map

inline fun <T, R> Matrix<T>.map(transform: (T) -> R): Matrix<R>

A map function that creates a new matrix with each cell mapped by transform.

inline fun <T, R> SparseMatrix<T>.map(transform: (T) -> R): SparseMatrix<R>

A map function that creates a new (sparse) matrix with each cell mapped by transform.

mapBoolean

inline fun <T> Matrix<T>.mapBoolean(transform: (T) -> Boolean): BooleanMatrix

A map implementation that creates a boolean matrix based upon the receiver and the transformation function.

inline fun <T> SparseMatrix<T>.mapBoolean(transform: (T) -> Boolean): SparseBooleanMatrix

A map implementation that creates a boolean sparse matrix based upon the receiver and the transformation function.

mapInt

inline fun <T> Matrix<T>.mapInt(transform: (T) -> Int): IntMatrix

Create a new IntMatrix with the dimensions of the original where the value of each cell is the result of applying the transform to the value of the cell in the original.

inline fun <T> SparseMatrix<T>.mapInt(transform: (T) -> Int): SparseIntMatrix

Create a new SparseIntMatrix with the dimensions of the original where the value of each cell is the result of applying the transform to the value of the cell in the original.

spliterator

open fun spliterator(): Spliterator<T>

toString

open override fun toString(): String

Get a string representation of the matrix (line wrapped)