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Rename KG module

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This commit is contained in:
Iaroslav Postovalov 2020-10-13 19:47:07 +07:00
parent fcfd79cb69
commit 381137724d
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6 changed files with 54 additions and 54 deletions
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2
examples/build.gradle.kts
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@ -20,7 +20,7 @@ sourceSets.register("benchmarks")
dependencies {
implementation(project(":kmath-ast"))
implementation(project(":kmath-ast-kotlingrad"))
implementation(project(":kmath-kotlingrad"))
implementation(project(":kmath-core"))
implementation(project(":kmath-coroutines"))
implementation(project(":kmath-commons"))

12
examples/src/main/kotlin/kscience/kmath/ast/KotlingradSupport.kt
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@ -2,9 +2,9 @@ package kscience.kmath.ast
import edu.umontreal.kotlingrad.experimental.DoublePrecision
import kscience.kmath.asm.compile
import kscience.kmath.ast.kotlingrad.mst
import kscience.kmath.ast.kotlingrad.sFun
import kscience.kmath.ast.kotlingrad.sVar
import kscience.kmath.kotlingrad.toMst
import kscience.kmath.kotlingrad.tSFun
import kscience.kmath.kotlingrad.toSVar
import kscience.kmath.expressions.invoke
import kscience.kmath.operations.RealField
@ -14,9 +14,9 @@ import kscience.kmath.operations.RealField
*/
fun main() {
val proto = DoublePrecision.prototype
val x by MstAlgebra.symbol("x").sVar(proto)
val quadratic = "x^2-4*x-44".parseMath().sFun(proto)
val actualDerivative = MstExpression(RealField, quadratic.d(x).mst()).compile()
val x by MstAlgebra.symbol("x").toSVar(proto)
val quadratic = "x^2-4*x-44".parseMath().tSFun(proto)
val actualDerivative = MstExpression(RealField, quadratic.d(x).toMst()).compile()
val expectedDerivative = MstExpression(RealField, "2*x-4".parseMath()).compile()
assert(actualDerivative("x" to 123.0) == expectedDerivative("x" to 123.0))
}

0
kmath-ast-kotlingrad/build.gradle.kts → kmath-kotlingrad/build.gradle.kts
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66
kmath-ast-kotlingrad/src/main/kotlin/kscience/kmath/ast/kotlingrad/ScalarsAdapters.kt → kmath-kotlingrad/src/main/kotlin/kscience/kmath/kotlingrad/ScalarsAdapters.kt
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@ -1,4 +1,4 @@
package kscience.kmath.ast.kotlingrad
package kscience.kmath.kotlingrad
import edu.umontreal.kotlingrad.experimental.*
import kscience.kmath.ast.MST
@ -30,22 +30,22 @@ import kscience.kmath.operations.*
* @receiver the scalar function.
* @return a node.
*/
public fun <X : SFun<X>> SFun<X>.mst(): MST = MstExtendedField {
when (this@mst) {
public fun <X : SFun<X>> SFun<X>.toMst(): MST = MstExtendedField {
when (this@toMst) {
is SVar -> symbol(name)
is SConst -> number(doubleValue)
is Sum -> left.mst() + right.mst()
is Prod -> left.mst() * right.mst()
is Power -> power(left.mst(), (right as SConst<*>).doubleValue)
is Negative -> -input.mst()
is Log -> ln(left.mst()) / ln(right.mst())
is Sine -> sin(input.mst())
is Cosine -> cos(input.mst())
is Tangent -> tan(input.mst())
is DProd -> this@mst().mst()
is SComposition -> this@mst().mst()
is VSumAll<X, *> -> this@mst().mst()
is Derivative -> this@mst().mst()
is Sum -> left.toMst() + right.toMst()
is Prod -> left.toMst() * right.toMst()
is Power -> power(left.toMst(), (right as SConst<*>).doubleValue)
is Negative -> -input.toMst()
is Log -> ln(left.toMst()) / ln(right.toMst())
is Sine -> sin(input.toMst())
is Cosine -> cos(input.toMst())
is Tangent -> tan(input.toMst())
is DProd -> this@toMst().toMst()
is SComposition -> this@toMst().toMst()
is VSumAll<X, *> -> this@toMst().toMst()
is Derivative -> this@toMst().toMst()
}
}
@ -55,7 +55,7 @@ public fun <X : SFun<X>> SFun<X>.mst(): MST = MstExtendedField {
* @receiver the node.
* @return a new constant.
*/
public fun <X : SFun<X>> MST.Numeric.sConst(): SConst<X> = SConst(value)
public fun <X : SFun<X>> MST.Numeric.toSConst(): SConst<X> = SConst(value)
/**
* Maps [MST.Symbolic] to [SVar] directly.
@ -64,7 +64,7 @@ public fun <X : SFun<X>> MST.Numeric.sConst(): SConst<X> = SConst(value)
* @param proto the prototype instance.
* @return a new variable.
*/
public fun <X : SFun<X>> MST.Symbolic.sVar(proto: X): SVar<X> = SVar(proto, value)
public fun <X : SFun<X>> MST.Symbolic.toSVar(proto: X): SVar<X> = SVar(proto, value)
/**
* Maps [MST] objects to [SFun]. Unsupported operations throw [IllegalStateException].
@ -80,28 +80,28 @@ public fun <X : SFun<X>> MST.Symbolic.sVar(proto: X): SVar<X> = SVar(proto, valu
* @param proto the prototype instance.
* @return a scalar function.
*/
public fun <X : SFun<X>> MST.sFun(proto: X): SFun<X> = when (this) {
is MST.Numeric -> sConst()
is MST.Symbolic -> sVar(proto)
public fun <X : SFun<X>> MST.tSFun(proto: X): SFun<X> = when (this) {
is MST.Numeric -> toSConst()
is MST.Symbolic -> toSVar(proto)
is MST.Unary -> when (operation) {
SpaceOperations.PLUS_OPERATION -> value.sFun(proto)
SpaceOperations.MINUS_OPERATION -> Negative(value.sFun(proto))
TrigonometricOperations.SIN_OPERATION -> Sine(value.sFun(proto))
TrigonometricOperations.COS_OPERATION -> Cosine(value.sFun(proto))
TrigonometricOperations.TAN_OPERATION -> Tangent(value.sFun(proto))
PowerOperations.SQRT_OPERATION -> Power(value.sFun(proto), SConst(0.5))
ExponentialOperations.EXP_OPERATION -> Power(value.sFun(proto), E())
ExponentialOperations.LN_OPERATION -> Log(value.sFun(proto))
SpaceOperations.PLUS_OPERATION -> value.tSFun(proto)
SpaceOperations.MINUS_OPERATION -> Negative(value.tSFun(proto))
TrigonometricOperations.SIN_OPERATION -> Sine(value.tSFun(proto))
TrigonometricOperations.COS_OPERATION -> Cosine(value.tSFun(proto))
TrigonometricOperations.TAN_OPERATION -> Tangent(value.tSFun(proto))
PowerOperations.SQRT_OPERATION -> Power(value.tSFun(proto), SConst(0.5))
ExponentialOperations.EXP_OPERATION -> Power(value.tSFun(proto), E())
ExponentialOperations.LN_OPERATION -> Log(value.tSFun(proto))
else -> error("Unary operation $operation not defined in $this")
}
is MST.Binary -> when (operation) {
SpaceOperations.PLUS_OPERATION -> Sum(left.sFun(proto), right.sFun(proto))
SpaceOperations.MINUS_OPERATION -> Sum(left.sFun(proto), Negative(right.sFun(proto)))
RingOperations.TIMES_OPERATION -> Prod(left.sFun(proto), right.sFun(proto))
FieldOperations.DIV_OPERATION -> Prod(left.sFun(proto), Power(right.sFun(proto), Negative(One())))
PowerOperations.POW_OPERATION -> Power(left.sFun(proto), SConst((right as MST.Numeric).value))
SpaceOperations.PLUS_OPERATION -> Sum(left.tSFun(proto), right.tSFun(proto))
SpaceOperations.MINUS_OPERATION -> Sum(left.tSFun(proto), Negative(right.tSFun(proto)))
RingOperations.TIMES_OPERATION -> Prod(left.tSFun(proto), right.tSFun(proto))
FieldOperations.DIV_OPERATION -> Prod(left.tSFun(proto), Power(right.tSFun(proto), Negative(One())))
PowerOperations.POW_OPERATION -> Power(left.tSFun(proto), SConst((right as MST.Numeric).value))
else -> error("Binary operation $operation not defined in $this")
}
}

26
kmath-ast-kotlingrad/src/test/kotlin/kscience/kmath/ast/kotlingrad/AdaptingTests.kt → kmath-kotlingrad/src/test/kotlin/kscience/kmath/kotlingrad/AdaptingTests.kt
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@ -1,4 +1,4 @@
package kscience.kmath.ast.kotlingrad
package kscience.kmath.kotlingrad
import edu.umontreal.kotlingrad.experimental.*
import kscience.kmath.asm.compile
@ -18,24 +18,24 @@ internal class AdaptingTests {
@Test
fun symbol() {
val c1 = MstAlgebra.symbol("x")
assertTrue(c1.sVar(proto).name == "x")
val c2 = "kitten".parseMath().sFun(proto)
assertTrue(c1.toSVar(proto).name == "x")
val c2 = "kitten".parseMath().tSFun(proto)
if (c2 is SVar) assertTrue(c2.name == "kitten") else fail()
}
@Test
fun number() {
val c1 = MstAlgebra.number(12354324)
assertTrue(c1.sConst<DReal>().doubleValue == 12354324.0)
val c2 = "0.234".parseMath().sFun(proto)
assertTrue(c1.toSConst<DReal>().doubleValue == 12354324.0)
val c2 = "0.234".parseMath().tSFun(proto)
if (c2 is SConst) assertTrue(c2.doubleValue == 0.234) else fail()
val c3 = "1e-3".parseMath().sFun(proto)
val c3 = "1e-3".parseMath().tSFun(proto)
if (c3 is SConst) assertEquals(0.001, c3.value) else fail()
}
@Test
fun simpleFunctionShape() {
val linear = "2*x+16".parseMath().sFun(proto)
val linear = "2*x+16".parseMath().tSFun(proto)
if (linear !is Sum) fail()
if (linear.left !is Prod) fail()
if (linear.right !is SConst) fail()
@ -43,18 +43,18 @@ internal class AdaptingTests {
@Test
fun simpleFunctionDerivative() {
val x = MstAlgebra.symbol("x").sVar(proto)
val quadratic = "x^2-4*x-44".parseMath().sFun(proto)
val actualDerivative = MstExpression(RealField, quadratic.d(x).mst()).compile()
val x = MstAlgebra.symbol("x").toSVar(proto)
val quadratic = "x^2-4*x-44".parseMath().tSFun(proto)
val actualDerivative = MstExpression(RealField, quadratic.d(x).toMst()).compile()
val expectedDerivative = MstExpression(RealField, "2*x-4".parseMath()).compile()
assertEquals(actualDerivative("x" to 123.0), expectedDerivative("x" to 123.0))
}
@Test
fun moreComplexDerivative() {
val x = MstAlgebra.symbol("x").sVar(proto)
val composition = "-sqrt(sin(x^2)-cos(x)^2-16*x)".parseMath().sFun(proto)
val actualDerivative = MstExpression(RealField, composition.d(x).mst()).compile()
val x = MstAlgebra.symbol("x").toSVar(proto)
val composition = "-sqrt(sin(x^2)-cos(x)^2-16*x)".parseMath().tSFun(proto)
val actualDerivative = MstExpression(RealField, composition.d(x).toMst()).compile()
val expectedDerivative = MstExpression(
RealField,

2
settings.gradle.kts
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@ -40,5 +40,5 @@ include(
":kmath-ast",
":examples",
":kmath-ejml",
":kmath-ast-kotlingrad"
":kmath-kotlingrad"
)