api / koma.internal.default.generated.ndarray / DefaultIntNDArray

DefaultIntNDArray

open class DefaultIntNDArray :NDArray<Int>

An (unoptimized) implementation of NDArray in pure Kotlin, for portability between the different platforms koma supports.

Parameters

shape - A vararg specifying the size of each dimension, e.g. a 3D array with size 4x6x8 would pass in 4,6,8)

init - A function that takes a location in the new array and returns its initial value.

Constructors

Name	Summary
<init>	DefaultIntNDArray(vararg shape:Int, init: (IntArray) ->Int) An (unoptimized) implementation of NDArray in pure Kotlin, for portability between the different platforms koma supports.

Properties

Name	Summary
shape	vararg val shape:IntArray A vararg specifying the size of each dimension, e.g. a 3D array with size 4x6x8 would pass in 4,6,8)
size	open val size:Int

Functions

Name	Summary
copy	open fun copy():NDArray<Int>
getBaseArray	open fun getBaseArray():Any
getByte	open fun getByte(i:Int):Byte
getDouble	open fun getDouble(i:Int):Double
getFloat	open fun getFloat(i:Int):Float
getGeneric	open fun getGeneric(vararg indices:Int):Int open fun getGeneric(i:Int):Int
getInt	open fun getInt(i:Int):Int
getLong	open fun getLong(i:Int):Long
getShort	open fun getShort(i:Int):Short
setByte	open fun setByte(i:Int, v:Byte):Unit
setDouble	open fun setDouble(i:Int, v:Double):Unit
setFloat	open fun setFloat(i:Int, v:Float):Unit
setGeneric	open fun setGeneric(i:Int, value:Int):Unit open fun setGeneric(vararg indices:Int, value:Int):Unit
setInt	open fun setInt(i:Int, v:Int):Unit
setLong	open fun setLong(i:Int, v:Long):Unit
setShort	open fun setShort(i:Int, v:Short):Unit
shape	open fun shape():List<Int>

Inherited Functions

Name	Summary
getByte	open fun getByte(vararg indices:Int):Byte
getDouble	open fun getDouble(vararg indices:Int):Double
getFloat	open fun getFloat(vararg indices:Int):Float
getInt	open fun getInt(vararg indices:Int):Int
getLinear	open fun ~~getLinear~~(index:Int):T
getLong	open fun getLong(vararg indices:Int):Long
getShort	open fun getShort(vararg indices:Int):Short
iterateIndices	open fun iterateIndices():Iterable<IndexIterator>
setByte	open fun setByte(vararg indices:Int, v:Byte):Unit
setDouble	open fun setDouble(vararg indices:Int, v:Double):Unit
setFloat	open fun setFloat(vararg indices:Int, v:Float):Unit
setInt	open fun setInt(vararg indices:Int, v:Int):Unit
setLinear	open fun ~~setLinear~~(index:Int, value:T):Unit
setLong	open fun setLong(vararg indices:Int, v:Long):Unit
setShort	open fun setShort(vararg indices:Int, v:Short):Unit
toIterable	open fun toIterable():Iterable<T>
toList	open fun toList():List<T> Converts this NDArray into a one-dimensional List in row-major order.
toMutableList	open fun toMutableList():MutableList<T> Converts this NDArray into a one-dimensional MutableList in row-major order.

Extension Functions

Name	Summary
checkIndices	fun <T>NDArray<T>.checkIndices(indices:IntArray):IntArray
checkLinearIndex	fun <T>NDArray<T>.checkLinearIndex(index:Int):Int
div	operator funNDArray<Int>.div(other:Int):NDArray<Int>
fill	fun <T>NDArray<T>.fill(f: (idx:IntArray) ->T):NDArray<T> funNDArray<Int>.fill(f: (idx:IntArray) ->Int):NDArray<Int>
fillBoth	fun <T>NDArray<T>.fillBoth(f: (nd:IntArray, linear:Int) ->T):NDArray<T> funNDArray<Int>.fillBoth(f: (nd:IntArray, linear:Int) ->Int):NDArray<Int>
fillLinear	fun <T>NDArray<T>.fillLinear(f: (idx:Int) ->T):NDArray<T> funNDArray<Int>.fillLinear(f: (idx:Int) ->Int):NDArray<Int>
forEach	fun <T>NDArray<T>.forEach(f: (ele:T) ->Unit):Unit funNDArray<Int>.forEach(f: (ele:Int) ->Unit):Unit Takes each element in a NDArray and passes them through f.
forEachIndexed	fun <T>NDArray<T>.forEachIndexed(f: (idx:Int, ele:T) ->Unit):Unit funNDArray<Int>.forEachIndexed(f: (idx:Int, ele:Int) ->Unit):Unit Takes each element in a NDArray and passes them through f. Index given to f is a linear index, depending on the underlying storage major dimension.
forEachIndexedN	fun <T>NDArray<T>.forEachIndexedN(f: (idx:IntArray, ele:T) ->Unit):Unit funNDArray<Int>.forEachIndexedN(f: (idx:IntArray, ele:Int) ->Unit):Unit Takes each element in a NDArray and passes them through f. Index given to f is the full ND index of the element.
linearToNIdx	fun <T>NDArray<T>.linearToNIdx(linear:Int):IntArray Given the 1D index of an element in the underlying storage, find the corresponding ND index. Inverse of nIdxToLinear.
map	fun <T>NDArray<T>.map(f: (T) ->T):DefaultGenericNDArray<T> funNDArray<Int>.map(f: (Int) ->Int):NDArray<Int> Takes each element in a NDArray, passes them through f, and puts the output of f into an output NDArray.
mapIndexed	fun <T>NDArray<T>.mapIndexed(f: (idx:Int, ele:T) ->T):DefaultGenericNDArray<T> funNDArray<Int>.mapIndexed(f: (idx:Int, ele:Int) ->Int):NDArray<Int> Takes each element in a NDArray, passes them through f, and puts the output of f into an output NDArray. Index given to f is a linear index, depending on the underlying storage major dimension.
mapIndexedN	fun <T>NDArray<T>.mapIndexedN(f: (idx:IntArray, ele:T) ->T):NDArray<T> funNDArray<Int>.mapIndexedN(f: (idx:IntArray, ele:Int) ->Int):NDArray<Int> Takes each element in a NDArray, passes them through f, and puts the output of f into an output NDArray. Index given to f is the full ND index of the element.
minus	operator funNDArray<Int>.minus(other:Int):NDArray<Int> operator funNDArray<Int>.minus(other:NDArray<Int>):NDArray<Int>
nIdxToLinear	fun <T>NDArray<T>.nIdxToLinear(indices:IntArray):Int Given a ND index into this array, find the corresponding 1D index in the raw underlying 1D storage array.
plus	operator funNDArray<Int>.plus(other:Int):NDArray<Int> operator funNDArray<Int>.plus(other:NDArray<Int>):NDArray<Int>
pow	infix funNDArray<Int>.pow(exponent:Int):NDArray<Int>
reshape	funNDArray<Int>.reshape(rows:Int, cols:Int):Matrix<Int> Returns a new Matrix with the given shape, populated with the data in this array.
safeNIdxToLinear	fun <T>NDArray<T>.safeNIdxToLinear(indices:IntArray):Int
set	operator fun <T>NDArray<T>.set(vararg indices:Int, value:NDArray<T>):Unit operator fun <T>NDArray<T>.set(vararg indices:Int, value:T):Unit operator funNDArray<Int>.set(vararg indices:Int, value:NDArray<Int>):Unit operator funNDArray<Int>.set(vararg indices:Int, value:Int):Unit
times	operator funNDArray<Int>.times(other:NDArray<Int>):NDArray<Int> operator funNDArray<Int>.times(other:Int):NDArray<Int>
toIntArray	funNDArray<Int>.toIntArray():IntArray Converts this NDArray into a one-dimensional IntArray in row-major order.
toMatrix	funNDArray<Int>.toMatrix():Matrix<Int>
toMatrixOrNull	fun <T>NDArray<T>.toMatrixOrNull():Matrix<T>?
toTypedArray	fun <T>NDArray<T>.toTypedArray():Array<T> Converts this NDArray into a one-dimensional Array in row-major order.
unaryMinus	operator funNDArray<Int>.unaryMinus():NDArray<Int>
widthOfDims	fun <T>NDArray<T>.widthOfDims():ArrayList<Int>