Merge dev into master #59
@ -5,6 +5,8 @@ import kotlinx.coroutines.flow.Flow
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import kotlinx.coroutines.flow.map
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import org.apache.commons.math3.transform.*
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import scientifik.kmath.operations.Complex
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import scientifik.kmath.streaming.chunked
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import scientifik.kmath.streaming.spread
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import scientifik.kmath.structures.*
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@ -33,40 +35,40 @@ object Transformations {
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fun fourier(
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normalization: DftNormalization = DftNormalization.STANDARD,
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direction: TransformType = TransformType.FORWARD
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): BufferTransform<Complex, Complex> = {
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): SuspendBufferTransform<Complex, Complex> = {
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FastFourierTransformer(normalization).transform(it.toArray(), direction).asBuffer()
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}
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fun realFourier(
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normalization: DftNormalization = DftNormalization.STANDARD,
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direction: TransformType = TransformType.FORWARD
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): BufferTransform<Double, Complex> = {
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): SuspendBufferTransform<Double, Complex> = {
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FastFourierTransformer(normalization).transform(it.asArray(), direction).asBuffer()
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}
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fun sine(
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normalization: DstNormalization = DstNormalization.STANDARD_DST_I,
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direction: TransformType = TransformType.FORWARD
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): BufferTransform<Double, Double> = {
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): SuspendBufferTransform<Double, Double> = {
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FastSineTransformer(normalization).transform(it.asArray(), direction).asBuffer()
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}
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fun cosine(
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normalization: DctNormalization = DctNormalization.STANDARD_DCT_I,
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direction: TransformType = TransformType.FORWARD
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): BufferTransform<Double, Double> = {
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): SuspendBufferTransform<Double, Double> = {
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FastCosineTransformer(normalization).transform(it.asArray(), direction).asBuffer()
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}
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fun hadamard(
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direction: TransformType = TransformType.FORWARD
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): BufferTransform<Double, Double> = {
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): SuspendBufferTransform<Double, Double> = {
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FastHadamardTransformer().transform(it.asArray(), direction).asBuffer()
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}
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}
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/**
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* Process given [Producer] with commons-math fft transformation
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* Process given [Flow] with commons-math fft transformation
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*/
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@FlowPreview
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fun Flow<Buffer<Complex>>.FFT(
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@ -84,5 +86,24 @@ fun Flow<Buffer<Double>>.FFT(
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direction: TransformType = TransformType.FORWARD
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): Flow<Buffer<Complex>> {
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val transform = Transformations.realFourier(normalization, direction)
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return map { transform(it) }
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return map(transform)
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}
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/**
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* Process a continous flow of real numbers in FFT splitting it in chunks of [bufferSize].
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*/
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@FlowPreview
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@JvmName("realFFT")
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fun Flow<Double>.FFT(
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bufferSize: Int = Int.MAX_VALUE,
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normalization: DftNormalization = DftNormalization.STANDARD,
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direction: TransformType = TransformType.FORWARD
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): Flow<Complex> {
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return chunked(bufferSize).FFT(normalization,direction).spread()
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}
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/**
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* Map a complex flow into real flow by taking real part of each number
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*/
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@FlowPreview
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fun Flow<Complex>.real(): Flow<Double> = map{it.re}
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@ -278,3 +278,5 @@ fun <T> Buffer<T>.asReadOnly(): Buffer<T> = if (this is MutableBuffer) {
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* Typealias for buffer transformations
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*/
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typealias BufferTransform<T, R> = (Buffer<T>) -> Buffer<R>
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typealias SuspendBufferTransform<T, R> = suspend (Buffer<T>) -> Buffer<R>
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@ -37,6 +37,9 @@ fun <T> Flow<T>.chunked(bufferSize: Int, bufferFactory: BufferFactory<T>) = flow
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counter = 0
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}
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}
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if (counter > 0) {
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emit(bufferFactory(counter) { list[it] })
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}
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}
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/**
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@ -54,8 +57,12 @@ fun Flow<Double>.chunked(bufferSize: Int) = flow {
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if (counter == bufferSize) {
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val buffer = DoubleBuffer(array)
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emit(buffer)
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counter = 0
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}
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}
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if (counter > 0) {
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emit(DoubleBuffer(counter) { array[it] })
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}
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}
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/**
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