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Reformat code and change some name

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This commit is contained in:
Mikhail Zelenyy 2019-01-23 11:52:09 +03:00
parent f0e380304e
commit 1b411872ef
1 changed files with 71 additions and 57 deletions
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128
kmath-core/src/commonMain/kotlin/scientifik/kmath/structures/CreationRoutines.kt
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@ -1,22 +1,22 @@
package scientifik.kmath.structures
import scientifik.kmath.operations.RealField
import scientifik.kmath.operations.RealField.power
import kotlin.math.*
object RealFactories{
object RealFactory {
/**
* Create a NDArray filled with ones
*/
fun ones(vararg shape: Int) = NDElement.real(shape){1.0}
fun ones(vararg shape: Int) = NDElement.real(shape) { 1.0 }
/**
* Create a 2D NDArray, with ones on the diagonal and zeros elsewhere.
*
* @param offset Index of the diagonal: 0 (the default) refers to the main diagonal, a positive value refers to an upper diagonal, and a negative value to a lower diagonal.
*/
fun eye(dim1: Int, dim2: Int, offset : Int = 0) = NDElement.real2D(dim1, dim2){i, j -> if (i == j + offset) 1.0 else 0.0}
fun eye(dim1: Int, dim2: Int, offset: Int = 0) =
NDElement.real2D(dim1, dim2) { i, j -> if (i == j + offset) 1.0 else 0.0 }
/**
* An array with ones at and below the given diagonal and zeros elsewhere.
@ -24,7 +24,8 @@ object RealFactories{
*
* @param offset Index of the diagonal: 0 (the default) refers to the main diagonal, a positive value refers to an upper diagonal, and a negative value to a lower diagonal.
*/
fun triangle(dim1: Int, dim2: Int, offset : Int = 0) = NDElement.real2D(dim1, dim2){i, j -> if (i <= j + offset) 1.0 else 0.0}
fun triangle(dim1: Int, dim2: Int, offset: Int = 0) =
NDElement.real2D(dim1, dim2) { i, j -> if (i <= j + offset) 1.0 else 0.0 }
/**
* Return evenly spaced values within a given interval.
@ -33,7 +34,8 @@ object RealFactories{
* @param range use it like:
* (start..stop) to step
*/
fun range(range : Pair<ClosedFloatingPointRange<Double>,Double>) = NDElement.real1D(ceil((range.first.endInclusive - range.first.start)/range.second).toInt()){i-> range.first.start + i*range.second}
fun range(range: Pair<ClosedFloatingPointRange<Double>, Double>) =
NDElement.real1D(ceil((range.first.endInclusive - range.first.start) / range.second).toInt()) { i -> range.first.start + i * range.second }
/**
* Return evenly spaced numbers over a specified interval.
@ -42,21 +44,27 @@ object RealFactories{
* start is starting value, finaly value depend from endPoint parameter
* @param endPoint If True, right boundary of range is the last sample. Otherwise, it is not included.
*/
fun linspace(range : Pair<ClosedFloatingPointRange<Double>,Int>, endPoint: Boolean = true): Pair<RealNDElement, Double> {
fun linSpace(
range: Pair<ClosedFloatingPointRange<Double>, Int>,
endPoint: Boolean = true
): Pair<RealNDElement, Double> {
val div = if (endPoint) (range.second - 1) else range.second
val delta = range.first.start - range.first.endInclusive
if (range.second > 1){
val step = delta/div
if (step == 0.0){ error("Bad ranges: step = $step")}
val result = NDElement.real1D(range.second){
if ( endPoint and (it == range.second - 1) ){ range.first.endInclusive}
range.first.start + it*step
if (range.second > 1) {
val step = delta / div
if (step == 0.0) {
error("Bad ranges: step = $step")
}
return result to step
}
else{
val result = NDElement.real1D(range.second) {
if (endPoint and (it == range.second - 1)) {
range.first.endInclusive
}
range.first.start + it * step
}
return result to step
} else {
val step = Double.NaN
return NDElement.real1D(1){range.first.start} to step
return NDElement.real1D(1) { range.first.start } to step
}
}
@ -69,37 +77,42 @@ object RealFactories{
* @param endPoint If True, power(base,stop) is the last sample. Otherwise, it is not included.
* @param base - The base of the log space.
*/
fun logspace(range : Pair<ClosedFloatingPointRange<Double>,Int>, endPoint: Boolean = true, base : Double = 10.0) : RealNDElement {
val lin = linspace(range, endPoint).first
val fun_ = {x: Double -> power(base, x)}
return fun_(lin) // FIXME: RealNDElement.map return not suitable type ( `linspace(range, endPoint).first.map{power(base, it}`)
fun logSpace(
range: Pair<ClosedFloatingPointRange<Double>, Int>,
endPoint: Boolean = true,
base: Double = 10.0
): RealNDElement {
val lin = linSpace(range, endPoint).first
val tempFun = { x: Double -> power(base, x) }
return tempFun(lin) // FIXME: RealNDElement.map return not suitable type ( `linSpace(range, endPoint).first.map{power(base, it}`)
}
/**
* Return numbers spaced evenly on a log scale (a geometric progression).
*
* This is similar to [logspace], but with endpoints specified directly. Each output sample is a constant multiple of the previous.
* This is similar to [logSpace], but with endpoints specified directly. Each output sample is a constant multiple of the previous.
* @param range use it like:
* (start..stop) to number
* start is starting value, finaly value depend from endPoint parameter
* @param endPoint If True, right boundary of range is the last sample. Otherwise, it is not included.
*/
fun geomspace(range : Pair<ClosedFloatingPointRange<Double>,Int>, endPoint: Boolean = true) : RealNDElement{
fun geomSpace(range: Pair<ClosedFloatingPointRange<Double>, Int>, endPoint: Boolean = true): RealNDElement {
var start = range.first.start
var stop = range.first.endInclusive
val num = range.second
if ( start == 0.0 || stop == 0.0){
if (start == 0.0 || stop == 0.0) {
error("Geometric sequence cannot include zero")
}
var outSign = 1.0
if (sign(start) == -1.0 && sign(stop) == -1.0){
if (sign(start) == -1.0 && sign(stop) == -1.0) {
start = -start
stop = -stop
outSign = -outSign
}
val log_ = logspace((log(start, 10.0)..log(stop, 10.0) to num), endPoint=endPoint)
val fun_ = {x:Double -> outSign*x}
return fun_(log_) // FIXME: `outSign*log_` --- don't define times operator
val logRange = logSpace((log(start, 10.0)..log(stop, 10.0) to num), endPoint = endPoint)
val function = { x: Double -> outSign * x }
return function(logRange) // FIXME: `outSign*log_` --- don't define times operator
}
@ -108,15 +121,15 @@ object RealFactories{
*
* @param offset Index of the diagonal: 0 (the default) refers to the main diagonal, a positive value refers to an upper diagonal, and a negative value to a lower diagonal.
*/
fun extractDiagonal(array : RealNDElement, offset: Int = 0): RealNDElement{
if (array.dimension != 2){
error("Input must be 2D NDArray")}
val size = min(array.shape[0], array.shape[0])
if (offset>=0){
return NDElement.real1D(size){i -> array[i, i+offset]}
fun extractDiagonal(array: RealNDElement, offset: Int = 0): RealNDElement {
if (array.dimension != 2) {
error("Input must be 2D NDArray")
}
else{
return NDElement.real1D(size){i -> array[i-offset, i]}
val size = min(array.shape[0], array.shape[0])
if (offset >= 0) {
return NDElement.real1D(size) { i -> array[i, i + offset] }
} else {
return NDElement.real1D(size) { i -> array[i - offset, i] }
}
}
@ -126,18 +139,18 @@ object RealFactories{
*
* @param offset Index of the diagonal: 0 (the default) refers to the main diagonal, a positive value refers to an upper diagonal, and a negative value to a lower diagonal.
*/
fun fromDiagonal(array : RealNDElement, offset: Int = 0): RealNDElement{
if (array.dimension != 1){
error("Input must be 1D NDArray")}
val size = array.shape[0]
if (offset>=0){
return NDElement.real2D(size, size+offset){
i, j -> if (i == j+offset) array[i] else 0.0
}
fun fromDiagonal(array: RealNDElement, offset: Int = 0): RealNDElement {
if (array.dimension != 1) {
error("Input must be 1D NDArray")
}
else{
return NDElement.real2D(size-offset, size){
i, j -> if (i-offset == j) array[j] else 0.0
val size = array.shape[0]
if (offset >= 0) {
return NDElement.real2D(size, size + offset) { i, j ->
if (i == j + offset) array[i] else 0.0
}
} else {
return NDElement.real2D(size - offset, size) { i, j ->
if (i - offset == j) array[j] else 0.0
}
}
}
@ -148,17 +161,18 @@ object RealFactories{
* @param nCols --- number of columns, as default using length of [array]
* @param increasing --- Order of the powers of the columns. If True, the powers increase from left to right, if False (the default) they are reversed. FIXME: Default order like numpy
*/
fun vandermonde(array : RealNDElement, nCols: Int = 0, increasing: Boolean =false): RealNDElement{
if (array.dimension != 1){
error("Input must be 1D NDArray")}
var size = if (nCols ==0) array.shape[0] else nCols
if (increasing){
return NDElement.real2D(array.shape[0], size){
i, j -> power(array[i], j)
fun vandermonde(array: RealNDElement, nCols: Int = 0, increasing: Boolean = false): RealNDElement {
if (array.dimension != 1) {
error("Input must be 1D NDArray")
}
val size = if (nCols == 0) array.shape[0] else nCols
if (increasing) {
return NDElement.real2D(array.shape[0], size) { i, j ->
power(array[i], j)
}
}else{
return NDElement.real2D(array.shape[0], size){
i, j -> power(array[i], size - j - 1)
} else {
return NDElement.real2D(array.shape[0], size) { i, j ->
power(array[i], size - j - 1)
}
}