Initial implementation of kmath-for-real module based on https://github.com/thomasnield/numky
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kmath-for-real/build.gradle.kts
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9
kmath-for-real/build.gradle.kts
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plugins {
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`npm-multiplatform`
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}
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kotlin.sourceSets.commonMain {
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dependencies {
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api(project(":kmath-core"))
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}
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}
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package scientifik.kmath.real
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import scientifik.kmath.linear.MatrixContext
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import scientifik.kmath.linear.RealMatrixContext.elementContext
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import scientifik.kmath.linear.VirtualMatrix
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import scientifik.kmath.operations.sum
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import scientifik.kmath.structures.Buffer
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import scientifik.kmath.structures.Matrix
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import scientifik.kmath.structures.asSequence
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import kotlin.math.pow
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// Initial implementation of these functions is taken from:
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// https://github.com/thomasnield/numky/blob/master/src/main/kotlin/org/nield/numky/linear/DoubleOperators.kt
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fun realMatrix(rowNum: Int, colNum: Int, initializer: (i: Int, j: Int) -> Double) = MatrixContext.real.produce(rowNum, colNum, initializer)
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fun Sequence<DoubleArray>.toMatrix() = toList().let {
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MatrixContext.real.produce(it.size,it[0].size) { row, col -> it[row][col] }
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}
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operator fun Matrix<Double>.times(double: Double) = MatrixContext.real.produce(rowNum, colNum) { row, col ->
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this@times[row, col] * double
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}
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fun Matrix<Double>.square() = MatrixContext.real.produce(rowNum, colNum) { row, col ->
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this@square[row,col].pow(2)
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}
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operator fun Matrix<Double>.plus(double: Double) = MatrixContext.real.produce(rowNum, colNum) { row, col ->
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this@plus[row,col] + double
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}
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operator fun Matrix<Double>.minus(double: Double) = MatrixContext.real.produce(rowNum, colNum) { row, col ->
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this@minus[row,col] - double
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}
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operator fun Matrix<Double>.div(double: Double) = MatrixContext.real.produce(rowNum, colNum) { row, col ->
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this@div[row,col] / double
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}
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operator fun Double.times(matrix: Matrix<Double>) = MatrixContext.real.produce(matrix.rowNum, matrix.colNum) { row, col ->
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matrix[row,col] * this
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}
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operator fun Double.plus(matrix: Matrix<Double>) = MatrixContext.real.produce(matrix.rowNum, matrix.colNum) { row, col ->
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matrix[row,col] + this
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}
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operator fun Double.minus(matrix: Matrix<Double>) = MatrixContext.real.produce(matrix.rowNum, matrix.colNum) { row, col ->
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matrix[row,col] - this
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}
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operator fun Double.div(matrix: Matrix<Double>) = MatrixContext.real.produce(matrix.rowNum, matrix.colNum) { row, col ->
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matrix[row,col] / this
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}
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operator fun Matrix<Double>.times(other: Matrix<Double>) = MatrixContext.real.produce(rowNum, colNum) { row, col ->
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this@times[row,col] * other[row,col]
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}
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operator fun Matrix<Double>.minus(other: Matrix<Double>) = MatrixContext.real.produce(rowNum, colNum) { row, col ->
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this@minus[row,col] - other[row,col]
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}
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operator fun Matrix<Double>.plus(other: Matrix<Double>) = MatrixContext.real.add(this,other)
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fun Matrix<Double>.repeatStackVertical(n: Int) = VirtualMatrix(rowNum*n, colNum) { row, col ->
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get(if (row == 0) 0 else row % rowNum, col)
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}
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inline fun Matrix<Double>.appendColumn(crossinline mapper: (Buffer<Double>) -> Double) =
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MatrixContext.real.produce(rowNum,colNum+1) { row,col ->
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if (col < colNum)
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this[row,col]
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else
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mapper(rows[row])
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}
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fun Matrix<Double>.extractColumn(columnIndex: Int) = extractColumns(columnIndex..columnIndex)
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fun Matrix<Double>.extractColumns(columnRange: IntRange) = MatrixContext.real.produce(rowNum, columnRange.count()) { row, col ->
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this@extractColumns[row, columnRange.start + col]
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}
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fun Matrix<Double>.sumByColumn() = MatrixContext.real.produce(1, colNum) { i, j ->
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val column = columns[j]
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with(elementContext) {
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sum(column.asSequence())
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}
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}
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fun Matrix<Double>.minByColumn() = MatrixContext.real.produce(1, colNum) { i, j ->
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val column = columns[j]
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column.asSequence().min()?:throw Exception("Cannot produce min on empty column")
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}
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fun Matrix<Double>.maxByColumn() = MatrixContext.real.produce(1, colNum) { i, j ->
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val column = columns[j]
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column.asSequence().max()?:throw Exception("Cannot produce min on empty column")
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}
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fun Matrix<Double>.averageByColumn() = MatrixContext.real.produce(1, colNum) { i, j ->
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val column = columns[j]
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column.asSequence().average()
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}
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fun Matrix<Double>.sum() = this.elements().map { (_,value) -> value }.sum()
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fun Matrix<Double>.min() = this.elements().map { (_,value) -> value }.min()
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fun Matrix<Double>.max() = this.elements().map { (_,value) -> value }.max()
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fun Matrix<Double>.average() = this.elements().map { (_,value) -> value }.average()
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fun Matrix<Double>.pow(n: Int) = MatrixContext.real.produce(rowNum, colNum) { i, j ->
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this@pow[i,j].pow(n)
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}
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@ -29,5 +29,6 @@ include(
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":kmath-commons",
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":kmath-koma",
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":kmath-prob",
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":kmath-for-real",
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":examples"
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)
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