Rename converter functions, add symbol delegate provider for MstAlgebra
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@ -3,8 +3,8 @@ package kscience.kmath.ast
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import edu.umontreal.kotlingrad.experimental.DoublePrecision
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import kscience.kmath.asm.compile
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import kscience.kmath.ast.kotlingrad.mst
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import kscience.kmath.ast.kotlingrad.sfun
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import kscience.kmath.ast.kotlingrad.svar
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import kscience.kmath.ast.kotlingrad.sFun
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import kscience.kmath.ast.kotlingrad.sVar
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import kscience.kmath.expressions.invoke
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import kscience.kmath.operations.RealField
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@ -14,8 +14,8 @@ import kscience.kmath.operations.RealField
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*/
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fun main() {
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val proto = DoublePrecision.prototype
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val x by MstAlgebra.symbol("x").svar(proto)
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val quadratic = "x^2-4*x-44".parseMath().sfun(proto)
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val x by MstAlgebra.symbol("x").sVar(proto)
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val quadratic = "x^2-4*x-44".parseMath().sFun(proto)
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val actualDerivative = MstExpression(RealField, quadratic.d(x).mst()).compile()
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val expectedDerivative = MstExpression(RealField, "2*x-4".parseMath()).compile()
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assert(actualDerivative("x" to 123.0) == expectedDerivative("x" to 123.0))
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@ -55,7 +55,7 @@ public fun <X : SFun<X>> SFun<X>.mst(): MST = MstExtendedField {
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* @receiver the node.
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* @return a new constant.
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*/
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public fun <X : SFun<X>> MST.Numeric.sconst(): SConst<X> = SConst(value)
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public fun <X : SFun<X>> MST.Numeric.sConst(): SConst<X> = SConst(value)
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/**
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* Maps [MST.Symbolic] to [SVar] directly.
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@ -64,7 +64,7 @@ public fun <X : SFun<X>> MST.Numeric.sconst(): SConst<X> = SConst(value)
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* @param proto the prototype instance.
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* @return a new variable.
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*/
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public fun <X : SFun<X>> MST.Symbolic.svar(proto: X): SVar<X> = SVar(proto, value)
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public fun <X : SFun<X>> MST.Symbolic.sVar(proto: X): SVar<X> = SVar(proto, value)
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/**
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* Maps [MST] objects to [SFun]. Unsupported operations throw [IllegalStateException].
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@ -80,28 +80,28 @@ public fun <X : SFun<X>> MST.Symbolic.svar(proto: X): SVar<X> = SVar(proto, valu
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* @param proto the prototype instance.
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* @return a scalar function.
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*/
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public fun <X : SFun<X>> MST.sfun(proto: X): SFun<X> = when (this) {
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is MST.Numeric -> sconst()
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is MST.Symbolic -> svar(proto)
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public fun <X : SFun<X>> MST.sFun(proto: X): SFun<X> = when (this) {
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is MST.Numeric -> sConst()
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is MST.Symbolic -> sVar(proto)
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is MST.Unary -> when (operation) {
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SpaceOperations.PLUS_OPERATION -> value.sfun(proto)
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SpaceOperations.MINUS_OPERATION -> Negative(value.sfun(proto))
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TrigonometricOperations.SIN_OPERATION -> Sine(value.sfun(proto))
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TrigonometricOperations.COS_OPERATION -> Cosine(value.sfun(proto))
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TrigonometricOperations.TAN_OPERATION -> Tangent(value.sfun(proto))
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PowerOperations.SQRT_OPERATION -> Power(value.sfun(proto), SConst(0.5))
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ExponentialOperations.EXP_OPERATION -> Power(value.sfun(proto), E())
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ExponentialOperations.LN_OPERATION -> Log(value.sfun(proto))
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SpaceOperations.PLUS_OPERATION -> value.sFun(proto)
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SpaceOperations.MINUS_OPERATION -> Negative(value.sFun(proto))
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TrigonometricOperations.SIN_OPERATION -> Sine(value.sFun(proto))
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TrigonometricOperations.COS_OPERATION -> Cosine(value.sFun(proto))
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TrigonometricOperations.TAN_OPERATION -> Tangent(value.sFun(proto))
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PowerOperations.SQRT_OPERATION -> Power(value.sFun(proto), SConst(0.5))
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ExponentialOperations.EXP_OPERATION -> Power(value.sFun(proto), E())
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ExponentialOperations.LN_OPERATION -> Log(value.sFun(proto))
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else -> error("Unary operation $operation not defined in $this")
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}
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is MST.Binary -> when (operation) {
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SpaceOperations.PLUS_OPERATION -> Sum(left.sfun(proto), right.sfun(proto))
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SpaceOperations.MINUS_OPERATION -> Sum(left.sfun(proto), Negative(right.sfun(proto)))
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RingOperations.TIMES_OPERATION -> Prod(left.sfun(proto), right.sfun(proto))
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FieldOperations.DIV_OPERATION -> Prod(left.sfun(proto), Power(right.sfun(proto), Negative(One())))
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PowerOperations.POW_OPERATION -> Power(left.sfun(proto), SConst((right as MST.Numeric).value))
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SpaceOperations.PLUS_OPERATION -> Sum(left.sFun(proto), right.sFun(proto))
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SpaceOperations.MINUS_OPERATION -> Sum(left.sFun(proto), Negative(right.sFun(proto)))
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RingOperations.TIMES_OPERATION -> Prod(left.sFun(proto), right.sFun(proto))
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FieldOperations.DIV_OPERATION -> Prod(left.sFun(proto), Power(right.sFun(proto), Negative(One())))
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PowerOperations.POW_OPERATION -> Power(left.sFun(proto), SConst((right as MST.Numeric).value))
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else -> error("Binary operation $operation not defined in $this")
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}
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}
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@ -18,24 +18,24 @@ internal class AdaptingTests {
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@Test
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fun symbol() {
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val c1 = MstAlgebra.symbol("x")
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assertTrue(c1.svar(proto).name == "x")
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val c2 = "kitten".parseMath().sfun(proto)
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assertTrue(c1.sVar(proto).name == "x")
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val c2 = "kitten".parseMath().sFun(proto)
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if (c2 is SVar) assertTrue(c2.name == "kitten") else fail()
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}
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@Test
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fun number() {
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val c1 = MstAlgebra.number(12354324)
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assertTrue(c1.sconst<DReal>().doubleValue == 12354324.0)
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val c2 = "0.234".parseMath().sfun(proto)
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assertTrue(c1.sConst<DReal>().doubleValue == 12354324.0)
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val c2 = "0.234".parseMath().sFun(proto)
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if (c2 is SConst) assertTrue(c2.doubleValue == 0.234) else fail()
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val c3 = "1e-3".parseMath().sfun(proto)
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val c3 = "1e-3".parseMath().sFun(proto)
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if (c3 is SConst) assertEquals(0.001, c3.value) else fail()
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}
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@Test
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fun simpleFunctionShape() {
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val linear = "2*x+16".parseMath().sfun(proto)
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val linear = "2*x+16".parseMath().sFun(proto)
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if (linear !is Sum) fail()
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if (linear.left !is Prod) fail()
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if (linear.right !is SConst) fail()
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@ -43,8 +43,8 @@ internal class AdaptingTests {
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@Test
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fun simpleFunctionDerivative() {
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val x = MstAlgebra.symbol("x").svar(proto)
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val quadratic = "x^2-4*x-44".parseMath().sfun(proto)
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val x = MstAlgebra.symbol("x").sVar(proto)
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val quadratic = "x^2-4*x-44".parseMath().sFun(proto)
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val actualDerivative = MstExpression(RealField, quadratic.d(x).mst()).compile()
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val expectedDerivative = MstExpression(RealField, "2*x-4".parseMath()).compile()
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assertEquals(actualDerivative("x" to 123.0), expectedDerivative("x" to 123.0))
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@ -52,8 +52,8 @@ internal class AdaptingTests {
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@Test
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fun moreComplexDerivative() {
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val x = MstAlgebra.symbol("x").svar(proto)
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val composition = "-sqrt(sin(x^2)-cos(x)^2-16*x)".parseMath().sfun(proto)
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val x = MstAlgebra.symbol("x").sVar(proto)
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val composition = "-sqrt(sin(x^2)-cos(x)^2-16*x)".parseMath().sFun(proto)
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val actualDerivative = MstExpression(RealField, composition.d(x).mst()).compile()
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val expectedDerivative = MstExpression(
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@ -0,0 +1,22 @@
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package kscience.kmath.ast
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import kscience.kmath.operations.Algebra
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import kotlin.properties.ReadOnlyProperty
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import kotlin.reflect.KProperty
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/**
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* Stores `provideDelegate` method returning property of [MST.Symbolic].
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*/
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public object MstSymbolDelegateProvider {
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/**
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* Returns [ReadOnlyProperty] of [MST.Symbolic] with its value equal to the name of the property.
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*/
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public operator fun provideDelegate(thisRef: Any?, prop: KProperty<*>): ReadOnlyProperty<Any?, MST.Symbolic> =
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ReadOnlyProperty { _, property -> MST.Symbolic(property.name) }
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}
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/**
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* Returns [MstSymbolDelegateProvider].
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*/
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public val Algebra<MST>.symbol: MstSymbolDelegateProvider
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get() = MstSymbolDelegateProvider
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