pre-0.0.3 #46

Merged
altavir merged 75 commits from dev into master 2019-02-20 13:05:39 +03:00
4 changed files with 39 additions and 16 deletions
Showing only changes of commit 77bf8de4f1 - Show all commits

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@ -14,7 +14,7 @@ class ShapeMismatchException(val expected: IntArray, val actual: IntArray) : Run
/**
* The base interface for all nd-algebra implementations
* @param T the type of nd-structure element
* @param C the type of the context
* @param C the type of the element context
* @param N the type of the structure
*/
interface NDAlgebra<T, C, N : NDStructure<T>> {
@ -112,10 +112,13 @@ interface NDField<T, F : Field<T>, N : NDStructure<T>> : Field<N>, NDRing<T, F,
operator fun T.div(arg: N) = map(arg) { divide(it, this@div) }
companion object {
private val realNDFieldCache = HashMap<IntArray, RealNDField>()
/**
* Create a nd-field for [Double] values
* Create a nd-field for [Double] values or pull it from cache if it was created previously
*/
fun real(shape: IntArray) = RealNDField(shape)
fun real(shape: IntArray) = realNDFieldCache.getOrPut(shape){RealNDField(shape)}
/**
* Create a nd-field with boxing generic buffer

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@ -7,6 +7,9 @@ import scientifik.kmath.operations.Space
/**
* The root for all [NDStructure] based algebra elements. Does not implement algebra element root because of problems with recursive self-types
* @param T the type of the element of the structure
* @param C the type of the context for the element
* @param N the type of the underlying [NDStructure]
*/
interface NDElement<T, C, N : NDStructure<T>> : NDStructure<T> {
@ -16,9 +19,6 @@ interface NDElement<T, C, N : NDStructure<T>> : NDStructure<T> {
fun N.wrap(): NDElement<T, C, N>
fun mapIndexed(transform: C.(index: IntArray, T) -> T) = context.mapIndexed(unwrap(), transform).wrap()
fun map(transform: C.(T) -> T) = context.map(unwrap(), transform).wrap()
companion object {
/**
* Create a optimized NDArray of doubles
@ -61,10 +61,17 @@ interface NDElement<T, C, N : NDStructure<T>> : NDStructure<T> {
}
}
fun <T, C, N : NDStructure<T>> NDElement<T, C, N>.mapIndexed(transform: C.(index: IntArray, T) -> T) =
context.mapIndexed(unwrap(), transform).wrap()
fun <T, C, N : NDStructure<T>> NDElement<T, C, N>.map(transform: C.(T) -> T) = context.map(unwrap(), transform).wrap()
/**
* Element by element application of any operation on elements to the whole [NDElement]
*/
operator fun <T, C> Function1<T, T>.invoke(ndElement: NDElement<T, C, *>) =
operator fun <T, C, N : NDStructure<T>> Function1<T, T>.invoke(ndElement: NDElement<T, C, N>) =
ndElement.map { value -> this@invoke(value) }
/* plus and minus */
@ -72,13 +79,13 @@ operator fun <T, C> Function1<T, T>.invoke(ndElement: NDElement<T, C, *>) =
/**
* Summation operation for [NDElement] and single element
*/
operator fun <T, S : Space<T>> NDElement<T, S, *>.plus(arg: T) =
operator fun <T, S : Space<T>, N : NDStructure<T>> NDElement<T, S, N>.plus(arg: T) =
map { value -> arg + value }
/**
* Subtraction operation between [NDElement] and single element
*/
operator fun <T, S : Space<T>> NDElement<T, S, *>.minus(arg: T) =
operator fun <T, S : Space<T>, N : NDStructure<T>> NDElement<T, S, N>.minus(arg: T) =
map { value -> arg - value }
/* prod and div */
@ -86,13 +93,13 @@ operator fun <T, S : Space<T>> NDElement<T, S, *>.minus(arg: T) =
/**
* Product operation for [NDElement] and single element
*/
operator fun <T, R : Ring<T>> NDElement<T, R, *>.times(arg: T) =
operator fun <T, R : Ring<T>, N : NDStructure<T>> NDElement<T, R, N>.times(arg: T) =
map { value -> arg * value }
/**
* Division operation between [NDElement] and single element
*/
operator fun <T, F : Field<T>> NDElement<T, F, *>.div(arg: T) =
operator fun <T, F : Field<T>, N : NDStructure<T>> NDElement<T, F, N>.div(arg: T) =
map { value -> arg / value }

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@ -86,11 +86,25 @@ inline fun BufferedNDField<Double, RealField>.produceInline(crossinline initiali
return BufferedNDFieldElement(this, DoubleBuffer(array))
}
/**
* Map one [RealNDElement] using function with indexes
*/
inline fun RealNDElement.mapIndexed(crossinline transform: RealField.(index: IntArray, Double) -> Double) =
context.produceInline { offset -> transform(strides.index(offset), buffer[offset]) }
/**
* Map one [RealNDElement] using function without indexes
*/
inline fun RealNDElement.map(crossinline transform: RealField.(Double) -> Double): RealNDElement {
val array = DoubleArray(strides.linearSize) { offset -> RealField.transform(buffer[offset]) }
return BufferedNDFieldElement(context, DoubleBuffer(array))
}
/**
* Element by element application of any operation on elements to the whole array. Just like in numpy
*/
operator fun Function1<Double, Double>.invoke(ndElement: RealNDElement) =
ndElement.context.produceInline { i -> invoke(ndElement.buffer[i]) }
ndElement.map { this@invoke(it) }
/* plus and minus */
@ -99,10 +113,10 @@ operator fun Function1<Double, Double>.invoke(ndElement: RealNDElement) =
* Summation operation for [BufferedNDElement] and single element
*/
operator fun RealNDElement.plus(arg: Double) =
context.produceInline { i -> buffer[i] + arg }
map { it + arg }
/**
* Subtraction operation between [BufferedNDElement] and single element
*/
operator fun RealNDElement.minus(arg: Double) =
context.produceInline { i -> buffer[i] - arg }
map { it - arg }

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@ -2,8 +2,7 @@ pluginManagement {
repositories {
mavenCentral()
maven("https://plugins.gradle.org/m2/")
maven { setUrl("https://dl.bintray.com/kotlin/kotlin-eap") }
maven { setUrl("https://plugins.gradle.org/m2/") }
maven ("https://dl.bintray.com/kotlin/kotlin-eap")
}
}