api / koma.internal.default.generated.ndarray / DefaultLongNDArray
DefaultLongNDArray
open class DefaultLongNDArray :
NDArray
<
Long
>
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> | DefaultLongNDArray(vararg shape: Int , init: ( IntArray ) -> Long ) 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 < Long > |
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 ): Long open fun getGeneric(i: Int ): Long |
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: Long ): Unit open fun setGeneric(vararg indices: Int , value: Long ): 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 fun NDArray < Long >.div(other: Long ): NDArray < Long > |
fill | fun <T> NDArray < T >.fill(f: (idx: IntArray ) -> T ): NDArray < T > fun NDArray < Long >.fill(f: (idx: IntArray ) -> Long ): NDArray < Long > |
fillBoth | fun <T> NDArray < T >.fillBoth(f: (nd: IntArray , linear: Int ) -> T ): NDArray < T > fun NDArray < Long >.fillBoth(f: (nd: IntArray , linear: Int ) -> Long ): NDArray < Long > |
fillLinear | fun <T> NDArray < T >.fillLinear(f: (idx: Int ) -> T ): NDArray < T > fun NDArray < Long >.fillLinear(f: (idx: Int ) -> Long ): NDArray < Long > |
forEach | fun <T> NDArray < T >.forEach(f: (ele: T ) -> Unit ): Unit fun NDArray < Long >.forEach(f: (ele: Long ) -> 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 fun NDArray < Long >.forEachIndexed(f: (idx: Int , ele: Long ) -> 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 fun NDArray < Long >.forEachIndexedN(f: (idx: IntArray , ele: Long ) -> 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 > fun NDArray < Long >.map(f: ( Long ) -> Long ): NDArray < Long > 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 > fun NDArray < Long >.mapIndexed(f: (idx: Int , ele: Long ) -> Long ): NDArray < Long > 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 > fun NDArray < Long >.mapIndexedN(f: (idx: IntArray , ele: Long ) -> Long ): NDArray < Long > 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 fun NDArray < Long >.minus(other: Long ): NDArray < Long > operator fun NDArray < Long >.minus(other: NDArray < Long >): NDArray < Long > |
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 fun NDArray < Long >.plus(other: Long ): NDArray < Long > operator fun NDArray < Long >.plus(other: NDArray < Long >): NDArray < Long > |
pow | infix fun NDArray < Long >.pow(exponent: Int ): NDArray < Long > |
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 fun NDArray < Long >.set(vararg indices: Int , value: NDArray < Long >): Unit operator fun NDArray < Long >.set(vararg indices: Int , value: Long ): Unit |
times | operator fun NDArray < Long >.times(other: NDArray < Long >): NDArray < Long > operator fun NDArray < Long >.times(other: Long ): NDArray < Long > |
toLongArray | fun NDArray < Long >.toLongArray(): LongArray Converts this NDArray into a one-dimensional LongArray in row-major order. |
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 fun NDArray < Long >.unaryMinus(): NDArray < Long > |
widthOfDims | fun <T> NDArray < T >.widthOfDims(): ArrayList < Int > |