Merge branch 'dev' into beta/kotlin2.0.0
# Conflicts: # gradle.properties # kmath-histograms/build.gradle.kts # kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Histogram.kt
This commit is contained in:
commit
bd9430bab4
1
.gitignore
vendored
1
.gitignore
vendored
@ -5,6 +5,7 @@ out/
|
||||
.idea/
|
||||
.vscode/
|
||||
.fleet/
|
||||
.kotlin/
|
||||
|
||||
|
||||
# Avoid ignoring Gradle wrapper jar file (.jar files are usually ignored)
|
||||
|
||||
65
CHANGELOG.md
65
CHANGELOG.md
@ -3,28 +3,62 @@
|
||||
## Unreleased
|
||||
|
||||
### Added
|
||||
- Integer division algebras
|
||||
- Float32 geometries
|
||||
|
||||
### Changed
|
||||
- Default naming for algebra and buffers now uses IntXX/FloatXX notation instead of Java types.
|
||||
- Remove unnecessary inlines in basic algebras.
|
||||
- QuaternionField -> QuaternionAlgebra and does not implement `Field` anymore since it is non-commutative
|
||||
- kmath-geometry is split into `euclidean2d` and `euclidean3d`
|
||||
|
||||
### Deprecated
|
||||
|
||||
### Removed
|
||||
- `asPolynomial` function due to scope pollution
|
||||
|
||||
### Fixed
|
||||
- Median statistics
|
||||
|
||||
### Security
|
||||
|
||||
## 0.4.0-dev-3 - 2024-02-18
|
||||
|
||||
### Added
|
||||
|
||||
- Reification. Explicit `SafeType` for algebras.
|
||||
- Integer division algebras.
|
||||
- Float32 geometries.
|
||||
- New Attributes-kt module that could be used as stand-alone. It declares. type-safe attributes containers.
|
||||
- Explicit `mutableStructureND` builders for mutable structures.
|
||||
- `Buffer.asList()` zero-copy transformation.
|
||||
- Wasm support.
|
||||
- Parallel implementation of `LinearSpace` for Float64
|
||||
- Parallel buffer factories
|
||||
|
||||
### Changed
|
||||
|
||||
- Buffer copy removed from API (added as an extension).
|
||||
- Default naming for algebra and buffers now uses IntXX/FloatXX notation instead of Java types.
|
||||
- Remove unnecessary inlines in basic algebras.
|
||||
- QuaternionField -> QuaternionAlgebra and does not implement `Field` anymore since it is non-commutative
|
||||
- kmath-geometry is split into `euclidean2d` and `euclidean3d`
|
||||
- Features replaced with Attributes.
|
||||
- Transposed refactored.
|
||||
- Kmath-memory is moved on top of core.
|
||||
|
||||
### Deprecated
|
||||
|
||||
- ND4J engine
|
||||
|
||||
### Removed
|
||||
|
||||
- `asPolynomial` function due to scope pollution
|
||||
- Codegend for ejml (450 lines of codegen for 1000 lines of code is too much)
|
||||
|
||||
### Fixed
|
||||
|
||||
- Median statistics
|
||||
- Complex power of negative real numbers
|
||||
- Add proper mutability for MutableBufferND rows and columns
|
||||
- Generic Float32 and Float64 vectors are used in geometry algebras.
|
||||
|
||||
## 0.3.1 - 2023-04-09
|
||||
|
||||
### Added
|
||||
|
||||
- Wasm support for `memory`, `core`, `complex` and `functions` modules.
|
||||
- Generic builders for `BufferND` and `MutableBufferND`
|
||||
- `NamedMatrix` - matrix with symbol-based indexing
|
||||
@ -34,6 +68,8 @@
|
||||
- Algebra now has an obligatory `bufferFactory` (#477).
|
||||
|
||||
### Changed
|
||||
|
||||
- Removed marker `Vector` type for geometry
|
||||
- Geometry uses type-safe angles
|
||||
- Tensor operations switched to prefix notation
|
||||
- Row-wise and column-wise ND shapes in the core
|
||||
@ -45,12 +81,14 @@
|
||||
- Multik went MPP
|
||||
|
||||
### Removed
|
||||
|
||||
- Trajectory moved to https://github.com/SciProgCentre/maps-kt
|
||||
- Polynomials moved to https://github.com/SciProgCentre/kmath-polynomial
|
||||
|
||||
## 0.3.0
|
||||
|
||||
### Added
|
||||
|
||||
- `ScaleOperations` interface
|
||||
- `Field` extends `ScaleOperations`
|
||||
- Basic integration API
|
||||
@ -75,6 +113,7 @@
|
||||
- Compilation to TeX for MST: #254
|
||||
|
||||
### Changed
|
||||
|
||||
- Annotations moved to `space.kscience.kmath`
|
||||
- Exponential operations merged with hyperbolic functions
|
||||
- Space is replaced by Group. Space is reserved for vector spaces.
|
||||
@ -108,9 +147,11 @@
|
||||
- `UnivariateFunction` -> `Function1D`, `MultivariateFunction` -> `FunctionND`
|
||||
|
||||
### Deprecated
|
||||
|
||||
- Specialized `DoubleBufferAlgebra`
|
||||
|
||||
### Removed
|
||||
|
||||
- Nearest in Domain. To be implemented in geometry package.
|
||||
- Number multiplication and division in main Algebra chain
|
||||
- `contentEquals` from Buffer. It moved to the companion.
|
||||
@ -121,12 +162,14 @@
|
||||
- Algebra elements are completely removed. Use algebra contexts instead.
|
||||
|
||||
### Fixed
|
||||
|
||||
- Ring inherits RingOperations, not GroupOperations
|
||||
- Univariate histogram filling
|
||||
|
||||
## 0.2.0
|
||||
|
||||
### Added
|
||||
|
||||
- `fun` annotation for SAM interfaces in library
|
||||
- Explicit `public` visibility for all public APIs
|
||||
- Better trigonometric and hyperbolic functions for `AutoDiffField` (https://github.com/mipt-npm/kmath/pull/140)
|
||||
@ -146,6 +189,7 @@
|
||||
- Basic Quaternion vector support in `kmath-complex`.
|
||||
|
||||
### Changed
|
||||
|
||||
- Package changed from `scientifik` to `space.kscience`
|
||||
- Gradle version: 6.6 -> 6.8.2
|
||||
- Minor exceptions refactor (throwing `IllegalArgumentException` by argument checks instead of `IllegalStateException`)
|
||||
@ -170,6 +214,7 @@
|
||||
- Add `out` projection to `Buffer` generic
|
||||
|
||||
### Removed
|
||||
|
||||
- `kmath-koma` module because it doesn't support Kotlin 1.4.
|
||||
- Support of `legacy` JS backend (we will support only IR)
|
||||
- `toGrid` method.
|
||||
@ -178,11 +223,13 @@
|
||||
- StructureND identity and equals
|
||||
|
||||
### Fixed
|
||||
|
||||
- `symbol` method in `MstExtendedField` (https://github.com/mipt-npm/kmath/pull/140)
|
||||
|
||||
## 0.1.4
|
||||
|
||||
### Added
|
||||
|
||||
- Functional Expressions API
|
||||
- Mathematical Syntax Tree, its interpreter and API
|
||||
- String to MST parser (https://github.com/mipt-npm/kmath/pull/120)
|
||||
@ -200,6 +247,7 @@
|
||||
- Norm support for `Complex`
|
||||
|
||||
### Changed
|
||||
|
||||
- `readAsMemory` now has `throws IOException` in JVM signature.
|
||||
- Several functions taking functional types were made `inline`.
|
||||
- Several functions taking functional types now have `callsInPlace` contracts.
|
||||
@ -211,6 +259,7 @@
|
||||
- Moved probability distributions to commons-rng and to `kmath-prob`
|
||||
|
||||
### Fixed
|
||||
|
||||
- Missing copy method in Memory implementation on JS (https://github.com/mipt-npm/kmath/pull/106)
|
||||
- D3.dim value in `kmath-dimensions`
|
||||
- Multiplication in integer rings in `kmath-core` (https://github.com/mipt-npm/kmath/pull/101)
|
||||
|
||||
68
README.md
68
README.md
@ -2,7 +2,7 @@
|
||||
[](https://zenodo.org/badge/latestdoi/129486382)
|
||||
|
||||
[](https://search.maven.org/search?q=g:%22space.kscience%22)
|
||||
[](https://maven.pkg.jetbrains.space/spc/p/sci/maven/space/kscience/)
|
||||
[](https://maven.pkg.jetbrains.space/mipt-npm/p/sci/maven/space/kscience/)
|
||||
|
||||
# KMath
|
||||
|
||||
@ -11,18 +11,21 @@ analog to Python's NumPy library. Later we found that kotlin is much more flexib
|
||||
architecture designs. In contrast to `numpy` and `scipy` it is modular and has a lightweight core. The `numpy`-like
|
||||
experience could be achieved with [kmath-for-real](/kmath-for-real) extension module.
|
||||
|
||||
[Documentation site (**WIP**)](https://SciProgCentre.github.io/kmath/)
|
||||
[Documentation site](https://SciProgCentre.github.io/kmath/)
|
||||
|
||||
## Publications and talks
|
||||
|
||||
* [A conceptual article about context-oriented design](https://proandroiddev.com/an-introduction-context-oriented-programming-in-kotlin-2e79d316b0a2)
|
||||
* [Another article about context-oriented design](https://proandroiddev.com/diving-deeper-into-context-oriented-programming-in-kotlin-3ecb4ec38814)
|
||||
* [ACAT 2019 conference paper](https://aip.scitation.org/doi/abs/10.1063/1.5130103)
|
||||
* [A talk at KotlinConf 2019 about using kotlin for science](https://youtu.be/LI_5TZ7tnOE?si=4LknX41gl_YeUbIe)
|
||||
* [A talk on architecture at Joker-2021 (in Russian)](https://youtu.be/1bZ2doHiRRM?si=9w953ro9yu98X_KJ)
|
||||
* [The same talk in English](https://youtu.be/yP5DIc2fVwQ?si=louZzQ1dcXV6gP10)
|
||||
* [A seminar on tensor API](https://youtu.be/0H99wUs0xTM?si=6c__04jrByFQtVpo)
|
||||
|
||||
# Goal
|
||||
|
||||
* Provide a flexible and powerful API to work with mathematics abstractions in Kotlin-multiplatform (JVM, JS and Native)
|
||||
.
|
||||
* Provide a flexible and powerful API to work with mathematics abstractions in Kotlin-multiplatform (JVM, JS, Native and Wasm).
|
||||
* Provide basic multiplatform implementations for those abstractions (without significant performance optimization).
|
||||
* Provide bindings and wrappers with those abstractions for popular optimized platform libraries.
|
||||
|
||||
@ -53,19 +56,21 @@ module definitions below. The module stability could have the following levels:
|
||||
## Modules
|
||||
|
||||
|
||||
### [benchmarks](benchmarks)
|
||||
### [attributes-kt](attributes-kt)
|
||||
> An API and basic implementation for arranging objects in a continuous memory block.
|
||||
>
|
||||
> **Maturity**: DEVELOPMENT
|
||||
|
||||
### [benchmarks](benchmarks)
|
||||
>
|
||||
> **Maturity**: EXPERIMENTAL
|
||||
|
||||
### [examples](examples)
|
||||
>
|
||||
>
|
||||
> **Maturity**: EXPERIMENTAL
|
||||
|
||||
### [kmath-ast](kmath-ast)
|
||||
>
|
||||
>
|
||||
> **Maturity**: EXPERIMENTAL
|
||||
>
|
||||
> **Features:**
|
||||
@ -76,7 +81,7 @@ module definitions below. The module stability could have the following levels:
|
||||
|
||||
|
||||
### [kmath-commons](kmath-commons)
|
||||
>
|
||||
> Commons math binding for kmath
|
||||
>
|
||||
> **Maturity**: EXPERIMENTAL
|
||||
|
||||
@ -109,17 +114,15 @@ performance calculations to code generation.
|
||||
|
||||
### [kmath-coroutines](kmath-coroutines)
|
||||
>
|
||||
>
|
||||
> **Maturity**: EXPERIMENTAL
|
||||
|
||||
### [kmath-dimensions](kmath-dimensions)
|
||||
>
|
||||
> A proof of concept module for adding type-safe dimensions to structures
|
||||
>
|
||||
> **Maturity**: PROTOTYPE
|
||||
|
||||
### [kmath-ejml](kmath-ejml)
|
||||
>
|
||||
>
|
||||
> **Maturity**: PROTOTYPE
|
||||
>
|
||||
> **Features:**
|
||||
@ -142,7 +145,7 @@ One can still use generic algebras though.
|
||||
|
||||
|
||||
### [kmath-functions](kmath-functions)
|
||||
>
|
||||
> Functions, integration and interpolation
|
||||
>
|
||||
> **Maturity**: EXPERIMENTAL
|
||||
>
|
||||
@ -156,18 +159,16 @@ One can still use generic algebras though.
|
||||
|
||||
### [kmath-geometry](kmath-geometry)
|
||||
>
|
||||
>
|
||||
> **Maturity**: PROTOTYPE
|
||||
|
||||
### [kmath-histograms](kmath-histograms)
|
||||
>
|
||||
>
|
||||
> **Maturity**: PROTOTYPE
|
||||
|
||||
### [kmath-jafama](kmath-jafama)
|
||||
> Jafama integration module
|
||||
>
|
||||
>
|
||||
> **Maturity**: PROTOTYPE
|
||||
> **Maturity**: DEPRECATED
|
||||
>
|
||||
> **Features:**
|
||||
> - [jafama-double](kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/) : Double ExtendedField implementations based on Jafama
|
||||
@ -175,11 +176,10 @@ One can still use generic algebras though.
|
||||
|
||||
### [kmath-jupyter](kmath-jupyter)
|
||||
>
|
||||
>
|
||||
> **Maturity**: PROTOTYPE
|
||||
|
||||
### [kmath-kotlingrad](kmath-kotlingrad)
|
||||
>
|
||||
> Kotlin∇ integration module
|
||||
>
|
||||
> **Maturity**: EXPERIMENTAL
|
||||
>
|
||||
@ -194,14 +194,14 @@ One can still use generic algebras though.
|
||||
> **Maturity**: DEVELOPMENT
|
||||
|
||||
### [kmath-multik](kmath-multik)
|
||||
>
|
||||
> JetBrains Multik connector
|
||||
>
|
||||
> **Maturity**: PROTOTYPE
|
||||
|
||||
### [kmath-nd4j](kmath-nd4j)
|
||||
> ND4J NDStructure implementation and according NDAlgebra classes
|
||||
>
|
||||
>
|
||||
> **Maturity**: EXPERIMENTAL
|
||||
> **Maturity**: DEPRECATED
|
||||
>
|
||||
> **Features:**
|
||||
> - [nd4jarraystructure](kmath-nd4j/#) : NDStructure wrapper for INDArray
|
||||
@ -211,27 +211,24 @@ One can still use generic algebras though.
|
||||
|
||||
### [kmath-optimization](kmath-optimization)
|
||||
>
|
||||
>
|
||||
> **Maturity**: EXPERIMENTAL
|
||||
|
||||
### [kmath-stat](kmath-stat)
|
||||
>
|
||||
>
|
||||
> **Maturity**: EXPERIMENTAL
|
||||
|
||||
### [kmath-symja](kmath-symja)
|
||||
>
|
||||
> Symja integration module
|
||||
>
|
||||
> **Maturity**: PROTOTYPE
|
||||
|
||||
### [kmath-tensorflow](kmath-tensorflow)
|
||||
>
|
||||
> Google tensorflow connector
|
||||
>
|
||||
> **Maturity**: PROTOTYPE
|
||||
|
||||
### [kmath-tensors](kmath-tensors)
|
||||
>
|
||||
>
|
||||
> **Maturity**: PROTOTYPE
|
||||
>
|
||||
> **Features:**
|
||||
@ -241,13 +238,12 @@ One can still use generic algebras though.
|
||||
|
||||
|
||||
### [kmath-viktor](kmath-viktor)
|
||||
>
|
||||
> Binding for https://github.com/JetBrains-Research/viktor
|
||||
>
|
||||
> **Maturity**: DEVELOPMENT
|
||||
|
||||
### [test-utils](test-utils)
|
||||
>
|
||||
>
|
||||
> **Maturity**: EXPERIMENTAL
|
||||
|
||||
|
||||
@ -256,22 +252,21 @@ One can still use generic algebras though.
|
||||
KMath is developed as a multi-platform library, which means that most of the interfaces are declared in the
|
||||
[common source sets](/kmath-core/src/commonMain) and implemented there wherever it is possible. In some cases, features
|
||||
are delegated to platform-specific implementations even if they could be provided in the common module for performance
|
||||
reasons. Currently, the Kotlin/JVM is the primary platform, however Kotlin/Native and Kotlin/JS contributions and
|
||||
reasons. Currently, Kotlin/JVM is the primary platform, however, Kotlin/Native and Kotlin/JS contributions and
|
||||
feedback are also welcome.
|
||||
|
||||
## Performance
|
||||
|
||||
Calculation performance is one of major goals of KMath in the future, but in some cases it is impossible to achieve both
|
||||
Calculation of performance is one of the major goals of KMath in the future, but in some cases it is impossible to achieve both
|
||||
performance and flexibility.
|
||||
|
||||
We expect to focus on creating convenient universal API first and then work on increasing performance for specific
|
||||
We expect to focus on creating a convenient universal API first and then work on increasing performance for specific
|
||||
cases. We expect the worst KMath benchmarks will perform better than native Python, but worse than optimized
|
||||
native/SciPy (mostly due to boxing operations on primitive numbers). The best performance of optimized parts could be better than SciPy.
|
||||
|
||||
## Requirements
|
||||
|
||||
KMath currently relies on JDK 11 for compilation and execution of Kotlin-JVM part. We recommend to use GraalVM-CE 11 for
|
||||
execution to get better performance.
|
||||
KMath currently relies on JDK 11 for compilation and execution of Kotlin-JVM part. We recommend using GraalVM-CE or Oracle GraalVM for execution to get better performance.
|
||||
|
||||
### Repositories
|
||||
|
||||
@ -291,10 +286,7 @@ dependencies {
|
||||
}
|
||||
```
|
||||
|
||||
Gradle `6.0+` is required for multiplatform artifacts.
|
||||
|
||||
## Contributing
|
||||
|
||||
The project requires a lot of additional work. The most important thing we need is a feedback about what features are
|
||||
required the most. Feel free to create feature requests. We are also welcome to code contributions, especially in issues
|
||||
marked with [waiting for a hero](https://github.com/SciProgCentre/kmath/labels/waiting%20for%20a%20hero) label.
|
||||
The project requires a lot of additional work. The most important thing we need is feedback about what features are
|
||||
required the most. Feel free to create feature requests. We are also welcome to code contributions, especially in issues marked with [good first issue](hhttps://github.com/SciProgCentre/kmath/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) label.
|
||||
4
attributes-kt/README.md
Normal file
4
attributes-kt/README.md
Normal file
@ -0,0 +1,4 @@
|
||||
# Module attributes-kt
|
||||
|
||||
|
||||
|
||||
104
attributes-kt/api/attributes-kt.api
Normal file
104
attributes-kt/api/attributes-kt.api
Normal file
@ -0,0 +1,104 @@
|
||||
public abstract interface class space/kscience/attributes/Attribute {
|
||||
}
|
||||
|
||||
public abstract interface class space/kscience/attributes/AttributeContainer {
|
||||
public abstract fun getAttributes ()Lspace/kscience/attributes/Attributes;
|
||||
}
|
||||
|
||||
public abstract interface class space/kscience/attributes/AttributeScope {
|
||||
}
|
||||
|
||||
public abstract interface class space/kscience/attributes/AttributeWithDefault : space/kscience/attributes/Attribute {
|
||||
public abstract fun getDefault ()Ljava/lang/Object;
|
||||
}
|
||||
|
||||
public abstract interface class space/kscience/attributes/Attributes {
|
||||
public static final field Companion Lspace/kscience/attributes/Attributes$Companion;
|
||||
public abstract fun equals (Ljava/lang/Object;)Z
|
||||
public fun get (Lspace/kscience/attributes/Attribute;)Ljava/lang/Object;
|
||||
public abstract fun getContent ()Ljava/util/Map;
|
||||
public fun getKeys ()Ljava/util/Set;
|
||||
public abstract fun hashCode ()I
|
||||
public abstract fun toString ()Ljava/lang/String;
|
||||
}
|
||||
|
||||
public final class space/kscience/attributes/Attributes$Companion {
|
||||
public final fun equals (Lspace/kscience/attributes/Attributes;Lspace/kscience/attributes/Attributes;)Z
|
||||
public final fun getEMPTY ()Lspace/kscience/attributes/Attributes;
|
||||
}
|
||||
|
||||
public final class space/kscience/attributes/AttributesBuilder : space/kscience/attributes/Attributes {
|
||||
public fun <init> ()V
|
||||
public final fun add (Lspace/kscience/attributes/SetAttribute;Ljava/lang/Object;)V
|
||||
public final fun build ()Lspace/kscience/attributes/Attributes;
|
||||
public fun equals (Ljava/lang/Object;)Z
|
||||
public final fun from (Lspace/kscience/attributes/Attributes;)V
|
||||
public fun getContent ()Ljava/util/Map;
|
||||
public fun hashCode ()I
|
||||
public final fun invoke (Lspace/kscience/attributes/Attribute;Ljava/lang/Object;)V
|
||||
public final fun remove (Lspace/kscience/attributes/SetAttribute;Ljava/lang/Object;)V
|
||||
public final fun set (Lspace/kscience/attributes/Attribute;Ljava/lang/Object;)V
|
||||
public fun toString ()Ljava/lang/String;
|
||||
}
|
||||
|
||||
public final class space/kscience/attributes/AttributesBuilderKt {
|
||||
public static final fun Attributes (Lkotlin/jvm/functions/Function1;)Lspace/kscience/attributes/Attributes;
|
||||
}
|
||||
|
||||
public final class space/kscience/attributes/AttributesKt {
|
||||
public static final fun Attributes (Lspace/kscience/attributes/Attribute;)Lspace/kscience/attributes/Attributes;
|
||||
public static final fun Attributes (Lspace/kscience/attributes/Attribute;Ljava/lang/Object;)Lspace/kscience/attributes/Attributes;
|
||||
public static final fun getOrDefault (Lspace/kscience/attributes/Attributes;Lspace/kscience/attributes/AttributeWithDefault;)Ljava/lang/Object;
|
||||
public static final fun isEmpty (Lspace/kscience/attributes/Attributes;)Z
|
||||
public static final fun modify (Lspace/kscience/attributes/Attributes;Lkotlin/jvm/functions/Function1;)Lspace/kscience/attributes/Attributes;
|
||||
public static final fun plus (Lspace/kscience/attributes/Attributes;Lspace/kscience/attributes/Attributes;)Lspace/kscience/attributes/Attributes;
|
||||
public static final fun withAttribute (Lspace/kscience/attributes/Attributes;Lspace/kscience/attributes/Attribute;)Lspace/kscience/attributes/Attributes;
|
||||
public static final fun withAttribute (Lspace/kscience/attributes/Attributes;Lspace/kscience/attributes/Attribute;Ljava/lang/Object;)Lspace/kscience/attributes/Attributes;
|
||||
public static final fun withAttributeElement (Lspace/kscience/attributes/Attributes;Lspace/kscience/attributes/SetAttribute;Ljava/lang/Object;)Lspace/kscience/attributes/Attributes;
|
||||
public static final fun withoutAttribute (Lspace/kscience/attributes/Attributes;Lspace/kscience/attributes/Attribute;)Lspace/kscience/attributes/Attributes;
|
||||
public static final fun withoutAttributeElement (Lspace/kscience/attributes/Attributes;Lspace/kscience/attributes/SetAttribute;Ljava/lang/Object;)Lspace/kscience/attributes/Attributes;
|
||||
}
|
||||
|
||||
public abstract interface class space/kscience/attributes/FlagAttribute : space/kscience/attributes/Attribute {
|
||||
}
|
||||
|
||||
public abstract class space/kscience/attributes/PolymorphicAttribute : space/kscience/attributes/Attribute {
|
||||
public synthetic fun <init> (Lkotlin/reflect/KType;Lkotlin/jvm/internal/DefaultConstructorMarker;)V
|
||||
public fun equals (Ljava/lang/Object;)Z
|
||||
public final fun getType-V0oMfBY ()Lkotlin/reflect/KType;
|
||||
public fun hashCode ()I
|
||||
}
|
||||
|
||||
public final class space/kscience/attributes/PolymorphicAttributeKt {
|
||||
public static final fun get (Lspace/kscience/attributes/Attributes;Lkotlin/jvm/functions/Function0;)Ljava/lang/Object;
|
||||
public static final fun set (Lspace/kscience/attributes/AttributesBuilder;Lkotlin/jvm/functions/Function0;Ljava/lang/Object;)V
|
||||
}
|
||||
|
||||
public final class space/kscience/attributes/SafeType {
|
||||
public static final synthetic fun box-impl (Lkotlin/reflect/KType;)Lspace/kscience/attributes/SafeType;
|
||||
public static fun constructor-impl (Lkotlin/reflect/KType;)Lkotlin/reflect/KType;
|
||||
public fun equals (Ljava/lang/Object;)Z
|
||||
public static fun equals-impl (Lkotlin/reflect/KType;Ljava/lang/Object;)Z
|
||||
public static final fun equals-impl0 (Lkotlin/reflect/KType;Lkotlin/reflect/KType;)Z
|
||||
public final fun getKType ()Lkotlin/reflect/KType;
|
||||
public fun hashCode ()I
|
||||
public static fun hashCode-impl (Lkotlin/reflect/KType;)I
|
||||
public fun toString ()Ljava/lang/String;
|
||||
public static fun toString-impl (Lkotlin/reflect/KType;)Ljava/lang/String;
|
||||
public final synthetic fun unbox-impl ()Lkotlin/reflect/KType;
|
||||
}
|
||||
|
||||
public final class space/kscience/attributes/SafeTypeKt {
|
||||
public static final fun getKClass-X0YbwmU (Lkotlin/reflect/KType;)Lkotlin/reflect/KClass;
|
||||
}
|
||||
|
||||
public abstract interface class space/kscience/attributes/SetAttribute : space/kscience/attributes/Attribute {
|
||||
}
|
||||
|
||||
public abstract interface annotation class space/kscience/attributes/UnstableAttributesAPI : java/lang/annotation/Annotation {
|
||||
}
|
||||
|
||||
public abstract interface class space/kscience/attributes/WithType {
|
||||
public abstract fun getType-V0oMfBY ()Lkotlin/reflect/KType;
|
||||
}
|
||||
|
||||
20
attributes-kt/build.gradle.kts
Normal file
20
attributes-kt/build.gradle.kts
Normal file
@ -0,0 +1,20 @@
|
||||
plugins {
|
||||
id("space.kscience.gradle.mpp")
|
||||
`maven-publish`
|
||||
}
|
||||
|
||||
version = "0.1.0"
|
||||
|
||||
kscience {
|
||||
jvm()
|
||||
js()
|
||||
native()
|
||||
wasm()
|
||||
}
|
||||
|
||||
readme {
|
||||
maturity = space.kscience.gradle.Maturity.DEVELOPMENT
|
||||
description = """
|
||||
An API and basic implementation for arranging objects in a continuous memory block.
|
||||
""".trimIndent()
|
||||
}
|
||||
@ -0,0 +1,29 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.attributes
|
||||
|
||||
/**
|
||||
* A marker interface for an attribute. Attributes are used as keys to access contents of type [T] in the container.
|
||||
*/
|
||||
public interface Attribute<T>
|
||||
|
||||
/**
|
||||
* An attribute that could be either present or absent
|
||||
*/
|
||||
public interface FlagAttribute : Attribute<Unit>
|
||||
|
||||
/**
|
||||
* An attribute with a default value
|
||||
*/
|
||||
public interface AttributeWithDefault<T> : Attribute<T> {
|
||||
public val default: T
|
||||
}
|
||||
|
||||
/**
|
||||
* Attribute containing a set of values
|
||||
*/
|
||||
public interface SetAttribute<V> : Attribute<Set<V>>
|
||||
|
||||
@ -0,0 +1,20 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.attributes
|
||||
|
||||
/**
|
||||
* A container for [Attributes]
|
||||
*/
|
||||
public interface AttributeContainer {
|
||||
public val attributes: Attributes
|
||||
}
|
||||
|
||||
/**
|
||||
* A scope, where attribute keys could be resolved.
|
||||
* [O] is used only to resolve types in compile-time.
|
||||
*/
|
||||
public interface AttributeScope<O>
|
||||
|
||||
@ -0,0 +1,135 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.attributes
|
||||
|
||||
/**
|
||||
* A set of attributes. The implementation must guarantee that [content] keys correspond to their value types.
|
||||
*/
|
||||
public interface Attributes {
|
||||
/**
|
||||
* Raw content for this [Attributes]
|
||||
*/
|
||||
public val content: Map<out Attribute<*>, Any?>
|
||||
|
||||
/**
|
||||
* Attribute keys contained in this [Attributes]
|
||||
*/
|
||||
public val keys: Set<Attribute<*>> get() = content.keys
|
||||
|
||||
/**
|
||||
* Provide an attribute value. Return null if attribute is not present or if its value is null.
|
||||
*/
|
||||
@Suppress("UNCHECKED_CAST")
|
||||
public operator fun <T> get(attribute: Attribute<T>): T? = content[attribute] as? T
|
||||
|
||||
override fun toString(): String
|
||||
override fun equals(other: Any?): Boolean
|
||||
override fun hashCode(): Int
|
||||
|
||||
public companion object {
|
||||
public val EMPTY: Attributes = AttributesImpl(emptyMap())
|
||||
|
||||
public fun equals(a1: Attributes, a2: Attributes): Boolean =
|
||||
a1.keys == a2.keys && a1.keys.all { a1[it] == a2[it] }
|
||||
}
|
||||
}
|
||||
|
||||
internal class AttributesImpl(override val content: Map<out Attribute<*>, Any?>) : Attributes {
|
||||
override fun toString(): String = "Attributes(value=${content.entries})"
|
||||
override fun equals(other: Any?): Boolean = other is Attributes && Attributes.equals(this, other)
|
||||
override fun hashCode(): Int = content.hashCode()
|
||||
}
|
||||
|
||||
public fun Attributes.isEmpty(): Boolean = content.isEmpty()
|
||||
|
||||
/**
|
||||
* Get attribute value or default
|
||||
*/
|
||||
public fun <T> Attributes.getOrDefault(attribute: AttributeWithDefault<T>): T = get(attribute) ?: attribute.default
|
||||
|
||||
/**
|
||||
* Check if there is an attribute that matches given key by type and adheres to [predicate].
|
||||
*/
|
||||
@Suppress("UNCHECKED_CAST")
|
||||
public inline fun <T, reified A : Attribute<T>> Attributes.hasAny(predicate: (value: T) -> Boolean): Boolean =
|
||||
content.any { (mapKey, mapValue) -> mapKey is A && predicate(mapValue as T) }
|
||||
|
||||
/**
|
||||
* Check if there is an attribute of given type (subtypes included)
|
||||
*/
|
||||
public inline fun <reified A : Attribute<*>> Attributes.hasAny(): Boolean =
|
||||
content.any { (mapKey, _) -> mapKey is A }
|
||||
|
||||
/**
|
||||
* Check if [Attributes] contains a flag. Multiple keys that are instances of a flag could be present
|
||||
*/
|
||||
public inline fun <reified A : FlagAttribute> Attributes.hasFlag(): Boolean =
|
||||
content.keys.any { it is A }
|
||||
|
||||
/**
|
||||
* Create [Attributes] with an added or replaced attribute key.
|
||||
*/
|
||||
public fun <T, A : Attribute<T>> Attributes.withAttribute(
|
||||
attribute: A,
|
||||
attrValue: T,
|
||||
): Attributes = AttributesImpl(content + (attribute to attrValue))
|
||||
|
||||
public fun <A : Attribute<Unit>> Attributes.withAttribute(attribute: A): Attributes =
|
||||
withAttribute(attribute, Unit)
|
||||
|
||||
/**
|
||||
* Create a new [Attributes] by modifying the current one
|
||||
*/
|
||||
public fun <T> Attributes.modify(block: AttributesBuilder<T>.() -> Unit): Attributes = Attributes<T> {
|
||||
from(this@modify)
|
||||
block()
|
||||
}
|
||||
|
||||
/**
|
||||
* Create new [Attributes] by removing [attribute] key
|
||||
*/
|
||||
public fun Attributes.withoutAttribute(attribute: Attribute<*>): Attributes = AttributesImpl(content.minus(attribute))
|
||||
|
||||
/**
|
||||
* Add an element to a [SetAttribute]
|
||||
*/
|
||||
public fun <T, A : SetAttribute<T>> Attributes.withAttributeElement(
|
||||
attribute: A,
|
||||
attrValue: T,
|
||||
): Attributes {
|
||||
val currentSet: Set<T> = get(attribute) ?: emptySet()
|
||||
return AttributesImpl(
|
||||
content + (attribute to (currentSet + attrValue))
|
||||
)
|
||||
}
|
||||
|
||||
/**
|
||||
* Remove an element from [SetAttribute]
|
||||
*/
|
||||
public fun <T, A : SetAttribute<T>> Attributes.withoutAttributeElement(
|
||||
attribute: A,
|
||||
attrValue: T,
|
||||
): Attributes {
|
||||
val currentSet: Set<T> = get(attribute) ?: emptySet()
|
||||
return AttributesImpl(content + (attribute to (currentSet - attrValue)))
|
||||
}
|
||||
|
||||
/**
|
||||
* Create [Attributes] with a single key
|
||||
*/
|
||||
public fun <T, A : Attribute<T>> Attributes(
|
||||
attribute: A,
|
||||
attrValue: T,
|
||||
): Attributes = AttributesImpl(mapOf(attribute to attrValue))
|
||||
|
||||
/**
|
||||
* Create Attributes with a single [Unit] valued attribute
|
||||
*/
|
||||
public fun <A : Attribute<Unit>> Attributes(
|
||||
attribute: A,
|
||||
): Attributes = AttributesImpl(mapOf(attribute to Unit))
|
||||
|
||||
public operator fun Attributes.plus(other: Attributes): Attributes = AttributesImpl(content + other.content)
|
||||
@ -0,0 +1,62 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.attributes
|
||||
|
||||
/**
|
||||
* A safe builder for [Attributes]
|
||||
*
|
||||
* @param O type marker of an owner object, for which these attributes are made
|
||||
*/
|
||||
public class AttributesBuilder<out O> internal constructor(
|
||||
private val map: MutableMap<Attribute<*>, Any?>,
|
||||
) : Attributes {
|
||||
|
||||
public constructor() : this(mutableMapOf())
|
||||
|
||||
override fun toString(): String = "Attributes(value=${content.entries})"
|
||||
override fun equals(other: Any?): Boolean = other is Attributes && Attributes.equals(this, other)
|
||||
override fun hashCode(): Int = content.hashCode()
|
||||
|
||||
override val content: Map<out Attribute<*>, Any?> get() = map
|
||||
|
||||
public operator fun <T> set(attribute: Attribute<T>, value: T?) {
|
||||
if (value == null) {
|
||||
map.remove(attribute)
|
||||
} else {
|
||||
map[attribute] = value
|
||||
}
|
||||
}
|
||||
|
||||
public operator fun <V> Attribute<V>.invoke(value: V?) {
|
||||
set(this, value)
|
||||
}
|
||||
|
||||
public fun from(attributes: Attributes) {
|
||||
map.putAll(attributes.content)
|
||||
}
|
||||
|
||||
public fun <V> SetAttribute<V>.add(
|
||||
attrValue: V,
|
||||
) {
|
||||
val currentSet: Set<V> = get(this) ?: emptySet()
|
||||
map[this] = currentSet + attrValue
|
||||
}
|
||||
|
||||
/**
|
||||
* Remove an element from [SetAttribute]
|
||||
*/
|
||||
public fun <V> SetAttribute<V>.remove(
|
||||
attrValue: V,
|
||||
) {
|
||||
val currentSet: Set<V> = get(this) ?: emptySet()
|
||||
map[this] = currentSet - attrValue
|
||||
}
|
||||
|
||||
public fun build(): Attributes = AttributesImpl(map)
|
||||
}
|
||||
|
||||
public inline fun <O> Attributes(builder: AttributesBuilder<O>.() -> Unit): Attributes =
|
||||
AttributesBuilder<O>().apply(builder).build()
|
||||
@ -0,0 +1,31 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.attributes
|
||||
|
||||
/**
|
||||
* An attribute that has a type parameter for value
|
||||
* @param type parameter-type
|
||||
*/
|
||||
public abstract class PolymorphicAttribute<T>(public val type: SafeType<T>) : Attribute<T> {
|
||||
override fun equals(other: Any?): Boolean = other != null &&
|
||||
(this::class == other::class) &&
|
||||
(other as? PolymorphicAttribute<*>)?.type == this.type
|
||||
|
||||
override fun hashCode(): Int = this::class.hashCode() + type.hashCode()
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Get a polymorphic attribute using attribute factory
|
||||
*/
|
||||
public operator fun <T> Attributes.get(attributeKeyBuilder: () -> PolymorphicAttribute<T>): T? = get(attributeKeyBuilder())
|
||||
|
||||
/**
|
||||
* Set a polymorphic attribute using its factory
|
||||
*/
|
||||
public operator fun <O, T> AttributesBuilder<O>.set(attributeKeyBuilder: () -> PolymorphicAttribute<T>, value: T) {
|
||||
set(attributeKeyBuilder(), value)
|
||||
}
|
||||
@ -0,0 +1,35 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.attributes
|
||||
|
||||
import kotlin.jvm.JvmInline
|
||||
import kotlin.reflect.KClass
|
||||
import kotlin.reflect.KType
|
||||
import kotlin.reflect.typeOf
|
||||
|
||||
/**
|
||||
* Safe variant ok Kotlin [KType] that ensures that the type parameter is of the same type as [kType]
|
||||
*
|
||||
* @param kType raw [KType]
|
||||
*/
|
||||
@JvmInline
|
||||
public value class SafeType<out T> @PublishedApi internal constructor(public val kType: KType)
|
||||
|
||||
public inline fun <reified T> safeTypeOf(): SafeType<T> = SafeType(typeOf<T>())
|
||||
|
||||
/**
|
||||
* Derive Kotlin [KClass] from this type and fail if the type is not a class (should not happen)
|
||||
*/
|
||||
@Suppress("UNCHECKED_CAST")
|
||||
@UnstableAttributesAPI
|
||||
public val <T> SafeType<T>.kClass: KClass<T & Any> get() = kType.classifier as KClass<T & Any>
|
||||
|
||||
/**
|
||||
* An interface containing [type] for dynamic type checking.
|
||||
*/
|
||||
public interface WithType<out T> {
|
||||
public val type: SafeType<T>
|
||||
}
|
||||
@ -0,0 +1,17 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.attributes
|
||||
|
||||
/**
|
||||
* Marks declarations that are still experimental in the Attributes-kt APIs, which means that the design of the corresponding
|
||||
* declarations has open issues that may (or may not) lead to their changes in the future. Roughly speaking, there is
|
||||
* a chance of those declarations will be deprecated in the future or the semantics of their behavior may change
|
||||
* in some way that may break some code.
|
||||
*/
|
||||
@MustBeDocumented
|
||||
@Retention(value = AnnotationRetention.BINARY)
|
||||
@RequiresOptIn("This API is unstable and could change in future", RequiresOptIn.Level.WARNING)
|
||||
public annotation class UnstableAttributesAPI
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -99,7 +99,7 @@ class ExpressionsInterpretersBenchmark {
|
||||
private val estree = node.estreeCompileToExpression(Float64Field)
|
||||
|
||||
private val raw = Expression<Double> { args ->
|
||||
val x = args[x]!!
|
||||
val x = args.getValue(x)
|
||||
x * 2.0 + 2.0 / x - 16.0 / sin(x)
|
||||
}
|
||||
}
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -11,12 +11,11 @@ import kotlinx.benchmark.Scope
|
||||
import kotlinx.benchmark.State
|
||||
import space.kscience.kmath.commons.linear.CMLinearSpace
|
||||
import space.kscience.kmath.ejml.EjmlLinearSpaceDDRM
|
||||
import space.kscience.kmath.linear.Float64ParallelLinearSpace
|
||||
import space.kscience.kmath.linear.invoke
|
||||
import space.kscience.kmath.linear.linearSpace
|
||||
import space.kscience.kmath.operations.Float64Field
|
||||
import space.kscience.kmath.operations.invoke
|
||||
import space.kscience.kmath.tensorflow.produceWithTF
|
||||
import space.kscience.kmath.tensors.core.DoubleTensorAlgebra
|
||||
import space.kscience.kmath.tensors.core.tensorAlgebra
|
||||
import kotlin.random.Random
|
||||
|
||||
@ -72,12 +71,12 @@ internal class DotBenchmark {
|
||||
}
|
||||
|
||||
@Benchmark
|
||||
fun tensorDot(blackhole: Blackhole) = with(Float64Field.tensorAlgebra) {
|
||||
fun multikDot(blackhole: Blackhole) = with(multikAlgebra) {
|
||||
blackhole.consume(matrix1 dot matrix2)
|
||||
}
|
||||
|
||||
@Benchmark
|
||||
fun multikDot(blackhole: Blackhole) = with(multikAlgebra) {
|
||||
fun tensorDot(blackhole: Blackhole) = with(Float64Field.tensorAlgebra) {
|
||||
blackhole.consume(matrix1 dot matrix2)
|
||||
}
|
||||
|
||||
@ -87,12 +86,8 @@ internal class DotBenchmark {
|
||||
}
|
||||
|
||||
@Benchmark
|
||||
fun doubleDot(blackhole: Blackhole) = with(Float64Field.linearSpace) {
|
||||
fun parallelDot(blackhole: Blackhole) = with(Float64ParallelLinearSpace) {
|
||||
blackhole.consume(matrix1 dot matrix2)
|
||||
}
|
||||
|
||||
@Benchmark
|
||||
fun doubleTensorDot(blackhole: Blackhole) = DoubleTensorAlgebra.invoke {
|
||||
blackhole.consume(matrix1 dot matrix2)
|
||||
}
|
||||
}
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -15,6 +15,7 @@ import space.kscience.kmath.ejml.EjmlLinearSpaceDDRM
|
||||
import space.kscience.kmath.linear.invoke
|
||||
import space.kscience.kmath.linear.linearSpace
|
||||
import space.kscience.kmath.linear.lupSolver
|
||||
import space.kscience.kmath.linear.parallel
|
||||
import space.kscience.kmath.operations.algebra
|
||||
import kotlin.random.Random
|
||||
|
||||
@ -38,16 +39,19 @@ internal class MatrixInverseBenchmark {
|
||||
}
|
||||
|
||||
@Benchmark
|
||||
fun cmLUPInversion(blackhole: Blackhole) {
|
||||
CMLinearSpace {
|
||||
blackhole.consume(lupSolver().inverse(matrix))
|
||||
}
|
||||
fun kmathParallelLupInversion(blackhole: Blackhole) {
|
||||
blackhole.consume(Double.algebra.linearSpace.parallel.lupSolver().inverse(matrix))
|
||||
}
|
||||
|
||||
@Benchmark
|
||||
fun ejmlInverse(blackhole: Blackhole) {
|
||||
EjmlLinearSpaceDDRM {
|
||||
blackhole.consume(matrix.toEjml().inverse())
|
||||
}
|
||||
fun cmLUPInversion(blackhole: Blackhole) = CMLinearSpace {
|
||||
blackhole.consume(lupSolver().inverse(matrix))
|
||||
}
|
||||
|
||||
|
||||
@Benchmark
|
||||
fun ejmlInverse(blackhole: Blackhole) = EjmlLinearSpaceDDRM {
|
||||
blackhole.consume(matrix.toEjml().inverted())
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -25,6 +25,16 @@ import space.kscience.kmath.viktor.viktorAlgebra
|
||||
@State(Scope.Benchmark)
|
||||
internal class NDFieldBenchmark {
|
||||
|
||||
private companion object {
|
||||
private const val dim = 1000
|
||||
private const val n = 100
|
||||
private val shape = ShapeND(dim, dim)
|
||||
private val specializedField = Float64Field.ndAlgebra
|
||||
private val genericField = BufferedFieldOpsND(Float64Field)
|
||||
private val nd4jField = Float64Field.nd4j
|
||||
private val viktorField = Float64Field.viktorAlgebra
|
||||
}
|
||||
|
||||
@Benchmark
|
||||
fun specializedFieldAdd(blackhole: Blackhole) = with(specializedField) {
|
||||
var res: StructureND<Double> = one(shape)
|
||||
@ -82,13 +92,5 @@ internal class NDFieldBenchmark {
|
||||
// blackhole.consume(res)
|
||||
// }
|
||||
|
||||
private companion object {
|
||||
private const val dim = 1000
|
||||
private const val n = 100
|
||||
private val shape = ShapeND(dim, dim)
|
||||
private val specializedField = Float64Field.ndAlgebra
|
||||
private val genericField = BufferedFieldOpsND(Float64Field)
|
||||
private val nd4jField = Float64Field.nd4j
|
||||
private val viktorField = Float64Field.viktorAlgebra
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -3,7 +3,7 @@ import space.kscience.gradle.useSPCTeam
|
||||
|
||||
plugins {
|
||||
id("space.kscience.gradle.project")
|
||||
id("org.jetbrains.kotlinx.kover") version "0.6.0"
|
||||
id("org.jetbrains.kotlinx.kover") version "0.7.6"
|
||||
}
|
||||
|
||||
allprojects {
|
||||
@ -14,7 +14,7 @@ allprojects {
|
||||
}
|
||||
|
||||
group = "space.kscience"
|
||||
version = "0.4.0-dev-2"
|
||||
version = "0.4.0"
|
||||
}
|
||||
|
||||
subprojects {
|
||||
@ -34,7 +34,7 @@ subprojects {
|
||||
localDirectory.set(kotlinDir)
|
||||
|
||||
remoteUrl.set(
|
||||
java.net.URL("https://github.com/SciProgCentre/kmath/tree/master/${this@subprojects.name}/$kotlinDirPath")
|
||||
uri("https://github.com/SciProgCentre/kmath/tree/master/${this@subprojects.name}/$kotlinDirPath").toURL()
|
||||
)
|
||||
}
|
||||
|
||||
@ -69,4 +69,4 @@ ksciencePublish {
|
||||
|
||||
apiValidation.nonPublicMarkers.add("space.kscience.kmath.UnstableKMathAPI")
|
||||
|
||||
val multikVersion by extra("0.2.2")
|
||||
val multikVersion by extra("0.2.3")
|
||||
|
||||
@ -17,7 +17,7 @@ val benchmarksVersion = spclibs.versions.kotlinx.benchmark.get()
|
||||
dependencies {
|
||||
api("space.kscience:gradle-tools:$toolsVersion")
|
||||
//plugins form benchmarks
|
||||
api("org.jetbrains.kotlinx:kotlinx-benchmark-plugin:0.4.9")
|
||||
api("org.jetbrains.kotlinx:kotlinx-benchmark-plugin:$benchmarksVersion")
|
||||
//api("org.jetbrains.kotlin:kotlin-allopen:$kotlinVersion")
|
||||
//to be used inside build-script only
|
||||
//implementation(spclibs.kotlinx.serialization.json)
|
||||
|
||||
@ -6,7 +6,7 @@
|
||||
enableFeaturePreview("TYPESAFE_PROJECT_ACCESSORS")
|
||||
|
||||
plugins {
|
||||
id("org.gradle.toolchains.foojay-resolver-convention") version "0.7.0"
|
||||
id("org.gradle.toolchains.foojay-resolver-convention") version "0.8.0"
|
||||
}
|
||||
|
||||
dependencyResolutionManagement {
|
||||
@ -22,6 +22,7 @@ dependencyResolutionManagement {
|
||||
|
||||
val toolsVersion: String = projectProperties["toolsVersion"].toString()
|
||||
|
||||
@Suppress("UnstableApiUsage")
|
||||
repositories {
|
||||
mavenLocal()
|
||||
maven("https://repo.kotlin.link")
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,433 +0,0 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@file:Suppress("KDocUnresolvedReference")
|
||||
|
||||
package space.kscience.kmath.ejml.codegen
|
||||
|
||||
import org.intellij.lang.annotations.Language
|
||||
import java.io.File
|
||||
|
||||
private fun Appendable.appendEjmlVector(type: String, ejmlMatrixType: String) {
|
||||
@Language("kotlin") val text = """/**
|
||||
* [EjmlVector] specialization for [$type].
|
||||
*/
|
||||
public class Ejml${type}Vector<out M : $ejmlMatrixType>(override val origin: M) : EjmlVector<$type, M>(origin) {
|
||||
init {
|
||||
require(origin.numRows == 1) { "The origin matrix must have only one row to form a vector" }
|
||||
}
|
||||
|
||||
override operator fun get(index: Int): $type = origin[0, index]
|
||||
}"""
|
||||
appendLine(text)
|
||||
appendLine()
|
||||
}
|
||||
|
||||
private fun Appendable.appendEjmlMatrix(type: String, ejmlMatrixType: String) {
|
||||
val text = """/**
|
||||
* [EjmlMatrix] specialization for [$type].
|
||||
*/
|
||||
public class Ejml${type}Matrix<out M : $ejmlMatrixType>(override val origin: M) : EjmlMatrix<$type, M>(origin) {
|
||||
override operator fun get(i: Int, j: Int): $type = origin[i, j]
|
||||
}"""
|
||||
appendLine(text)
|
||||
appendLine()
|
||||
}
|
||||
|
||||
private fun Appendable.appendEjmlLinearSpace(
|
||||
type: String,
|
||||
kmathAlgebra: String,
|
||||
ejmlMatrixParentTypeMatrix: String,
|
||||
ejmlMatrixType: String,
|
||||
ejmlMatrixDenseType: String,
|
||||
ops: String,
|
||||
denseOps: String,
|
||||
isDense: Boolean,
|
||||
) {
|
||||
@Language("kotlin") val text = """/**
|
||||
* [EjmlLinearSpace] implementation based on [CommonOps_$ops], [DecompositionFactory_${ops}] operations and
|
||||
* [${ejmlMatrixType}] matrices.
|
||||
*/
|
||||
public object EjmlLinearSpace${ops} : EjmlLinearSpace<${type}, ${kmathAlgebra}, $ejmlMatrixType>() {
|
||||
/**
|
||||
* The [${kmathAlgebra}] reference.
|
||||
*/
|
||||
override val elementAlgebra: $kmathAlgebra get() = $kmathAlgebra
|
||||
|
||||
@Suppress("UNCHECKED_CAST")
|
||||
override fun Matrix<${type}>.toEjml(): Ejml${type}Matrix<${ejmlMatrixType}> = when {
|
||||
this is Ejml${type}Matrix<*> && origin is $ejmlMatrixType -> this as Ejml${type}Matrix<${ejmlMatrixType}>
|
||||
else -> buildMatrix(rowNum, colNum) { i, j -> get(i, j) }
|
||||
}
|
||||
|
||||
@Suppress("UNCHECKED_CAST")
|
||||
override fun Point<${type}>.toEjml(): Ejml${type}Vector<${ejmlMatrixType}> = when {
|
||||
this is Ejml${type}Vector<*> && origin is $ejmlMatrixType -> this as Ejml${type}Vector<${ejmlMatrixType}>
|
||||
else -> Ejml${type}Vector(${ejmlMatrixType}(size, 1).also {
|
||||
(0 until it.numRows).forEach { row -> it[row, 0] = get(row) }
|
||||
})
|
||||
}
|
||||
|
||||
override fun buildMatrix(
|
||||
rows: Int,
|
||||
columns: Int,
|
||||
initializer: ${kmathAlgebra}.(i: Int, j: Int) -> ${type},
|
||||
): Ejml${type}Matrix<${ejmlMatrixType}> = ${ejmlMatrixType}(rows, columns).also {
|
||||
(0 until rows).forEach { row ->
|
||||
(0 until columns).forEach { col -> it[row, col] = elementAlgebra.initializer(row, col) }
|
||||
}
|
||||
}.wrapMatrix()
|
||||
|
||||
override fun buildVector(
|
||||
size: Int,
|
||||
initializer: ${kmathAlgebra}.(Int) -> ${type},
|
||||
): Ejml${type}Vector<${ejmlMatrixType}> = Ejml${type}Vector(${ejmlMatrixType}(size, 1).also {
|
||||
(0 until it.numRows).forEach { row -> it[row, 0] = elementAlgebra.initializer(row) }
|
||||
})
|
||||
|
||||
private fun <T : ${ejmlMatrixParentTypeMatrix}> T.wrapMatrix() = Ejml${type}Matrix(this)
|
||||
private fun <T : ${ejmlMatrixParentTypeMatrix}> T.wrapVector() = Ejml${type}Vector(this)
|
||||
|
||||
override fun Matrix<${type}>.unaryMinus(): Matrix<${type}> = this * elementAlgebra { -one }
|
||||
|
||||
override fun Matrix<${type}>.dot(other: Matrix<${type}>): Ejml${type}Matrix<${ejmlMatrixType}> {
|
||||
val out = ${ejmlMatrixType}(1, 1)
|
||||
CommonOps_${ops}.mult(toEjml().origin, other.toEjml().origin, out)
|
||||
return out.wrapMatrix()
|
||||
}
|
||||
|
||||
override fun Matrix<${type}>.dot(vector: Point<${type}>): Ejml${type}Vector<${ejmlMatrixType}> {
|
||||
val out = ${ejmlMatrixType}(1, 1)
|
||||
CommonOps_${ops}.mult(toEjml().origin, vector.toEjml().origin, out)
|
||||
return out.wrapVector()
|
||||
}
|
||||
|
||||
override operator fun Matrix<${type}>.minus(other: Matrix<${type}>): Ejml${type}Matrix<${ejmlMatrixType}> {
|
||||
val out = ${ejmlMatrixType}(1, 1)
|
||||
|
||||
CommonOps_${ops}.add(
|
||||
elementAlgebra.one,
|
||||
toEjml().origin,
|
||||
elementAlgebra { -one },
|
||||
other.toEjml().origin,
|
||||
out,${
|
||||
if (isDense) "" else
|
||||
"""
|
||||
null,
|
||||
null,"""
|
||||
}
|
||||
)
|
||||
|
||||
return out.wrapMatrix()
|
||||
}
|
||||
|
||||
override operator fun Matrix<${type}>.times(value: ${type}): Ejml${type}Matrix<${ejmlMatrixType}> {
|
||||
val res = ${ejmlMatrixType}(1, 1)
|
||||
CommonOps_${ops}.scale(value, toEjml().origin, res)
|
||||
return res.wrapMatrix()
|
||||
}
|
||||
|
||||
override fun Point<${type}>.unaryMinus(): Ejml${type}Vector<${ejmlMatrixType}> {
|
||||
val res = ${ejmlMatrixType}(1, 1)
|
||||
CommonOps_${ops}.changeSign(toEjml().origin, res)
|
||||
return res.wrapVector()
|
||||
}
|
||||
|
||||
override fun Matrix<${type}>.plus(other: Matrix<${type}>): Ejml${type}Matrix<${ejmlMatrixType}> {
|
||||
val out = ${ejmlMatrixType}(1, 1)
|
||||
|
||||
CommonOps_${ops}.add(
|
||||
elementAlgebra.one,
|
||||
toEjml().origin,
|
||||
elementAlgebra.one,
|
||||
other.toEjml().origin,
|
||||
out,${
|
||||
if (isDense) "" else
|
||||
"""
|
||||
null,
|
||||
null,"""
|
||||
}
|
||||
)
|
||||
|
||||
return out.wrapMatrix()
|
||||
}
|
||||
|
||||
override fun Point<${type}>.plus(other: Point<${type}>): Ejml${type}Vector<${ejmlMatrixType}> {
|
||||
val out = ${ejmlMatrixType}(1, 1)
|
||||
|
||||
CommonOps_${ops}.add(
|
||||
elementAlgebra.one,
|
||||
toEjml().origin,
|
||||
elementAlgebra.one,
|
||||
other.toEjml().origin,
|
||||
out,${
|
||||
if (isDense) "" else
|
||||
"""
|
||||
null,
|
||||
null,"""
|
||||
}
|
||||
)
|
||||
|
||||
return out.wrapVector()
|
||||
}
|
||||
|
||||
override fun Point<${type}>.minus(other: Point<${type}>): Ejml${type}Vector<${ejmlMatrixType}> {
|
||||
val out = ${ejmlMatrixType}(1, 1)
|
||||
|
||||
CommonOps_${ops}.add(
|
||||
elementAlgebra.one,
|
||||
toEjml().origin,
|
||||
elementAlgebra { -one },
|
||||
other.toEjml().origin,
|
||||
out,${
|
||||
if (isDense) "" else
|
||||
"""
|
||||
null,
|
||||
null,"""
|
||||
}
|
||||
)
|
||||
|
||||
return out.wrapVector()
|
||||
}
|
||||
|
||||
override fun ${type}.times(m: Matrix<${type}>): Ejml${type}Matrix<${ejmlMatrixType}> = m * this
|
||||
|
||||
override fun Point<${type}>.times(value: ${type}): Ejml${type}Vector<${ejmlMatrixType}> {
|
||||
val res = ${ejmlMatrixType}(1, 1)
|
||||
CommonOps_${ops}.scale(value, toEjml().origin, res)
|
||||
return res.wrapVector()
|
||||
}
|
||||
|
||||
override fun ${type}.times(v: Point<${type}>): Ejml${type}Vector<${ejmlMatrixType}> = v * this
|
||||
|
||||
@UnstableKMathAPI
|
||||
override fun <F : StructureFeature> computeFeature(structure: Matrix<${type}>, type: KClass<out F>): F? {
|
||||
structure.getFeature(type)?.let { return it }
|
||||
val origin = structure.toEjml().origin
|
||||
|
||||
return when (type) {
|
||||
${
|
||||
if (isDense)
|
||||
""" InverseMatrixFeature::class -> object : InverseMatrixFeature<${type}> {
|
||||
override val inverse: Matrix<${type}> by lazy {
|
||||
val res = origin.copy()
|
||||
CommonOps_${ops}.invert(res)
|
||||
res.wrapMatrix()
|
||||
}
|
||||
}
|
||||
|
||||
DeterminantFeature::class -> object : DeterminantFeature<${type}> {
|
||||
override val determinant: $type by lazy { CommonOps_${ops}.det(origin) }
|
||||
}
|
||||
|
||||
SingularValueDecompositionFeature::class -> object : SingularValueDecompositionFeature<${type}> {
|
||||
private val svd by lazy {
|
||||
DecompositionFactory_${ops}.svd(origin.numRows, origin.numCols, true, true, false)
|
||||
.apply { decompose(origin.copy()) }
|
||||
}
|
||||
|
||||
override val u: Matrix<${type}> by lazy { svd.getU(null, false).wrapMatrix() }
|
||||
override val s: Matrix<${type}> by lazy { svd.getW(null).wrapMatrix() }
|
||||
override val v: Matrix<${type}> by lazy { svd.getV(null, false).wrapMatrix() }
|
||||
override val singularValues: Point<${type}> by lazy { ${type}Buffer(svd.singularValues) }
|
||||
}
|
||||
|
||||
QRDecompositionFeature::class -> object : QRDecompositionFeature<${type}> {
|
||||
private val qr by lazy {
|
||||
DecompositionFactory_${ops}.qr().apply { decompose(origin.copy()) }
|
||||
}
|
||||
|
||||
override val q: Matrix<${type}> by lazy {
|
||||
qr.getQ(null, false).wrapMatrix().withFeature(OrthogonalFeature)
|
||||
}
|
||||
|
||||
override val r: Matrix<${type}> by lazy { qr.getR(null, false).wrapMatrix().withFeature(UFeature) }
|
||||
}
|
||||
|
||||
CholeskyDecompositionFeature::class -> object : CholeskyDecompositionFeature<${type}> {
|
||||
override val l: Matrix<${type}> by lazy {
|
||||
val cholesky =
|
||||
DecompositionFactory_${ops}.chol(structure.rowNum, true).apply { decompose(origin.copy()) }
|
||||
|
||||
cholesky.getT(null).wrapMatrix().withFeature(LFeature)
|
||||
}
|
||||
}
|
||||
|
||||
LupDecompositionFeature::class -> object : LupDecompositionFeature<${type}> {
|
||||
private val lup by lazy {
|
||||
DecompositionFactory_${ops}.lu(origin.numRows, origin.numCols).apply { decompose(origin.copy()) }
|
||||
}
|
||||
|
||||
override val l: Matrix<${type}> by lazy {
|
||||
lup.getLower(null).wrapMatrix().withFeature(LFeature)
|
||||
}
|
||||
|
||||
override val u: Matrix<${type}> by lazy {
|
||||
lup.getUpper(null).wrapMatrix().withFeature(UFeature)
|
||||
}
|
||||
|
||||
override val p: Matrix<${type}> by lazy { lup.getRowPivot(null).wrapMatrix() }
|
||||
}""" else """ QRDecompositionFeature::class -> object : QRDecompositionFeature<$type> {
|
||||
private val qr by lazy {
|
||||
DecompositionFactory_${ops}.qr(FillReducing.NONE).apply { decompose(origin.copy()) }
|
||||
}
|
||||
|
||||
override val q: Matrix<${type}> by lazy {
|
||||
qr.getQ(null, false).wrapMatrix().withFeature(OrthogonalFeature)
|
||||
}
|
||||
|
||||
override val r: Matrix<${type}> by lazy { qr.getR(null, false).wrapMatrix().withFeature(UFeature) }
|
||||
}
|
||||
|
||||
CholeskyDecompositionFeature::class -> object : CholeskyDecompositionFeature<${type}> {
|
||||
override val l: Matrix<${type}> by lazy {
|
||||
val cholesky =
|
||||
DecompositionFactory_${ops}.cholesky().apply { decompose(origin.copy()) }
|
||||
|
||||
(cholesky.getT(null) as ${ejmlMatrixParentTypeMatrix}).wrapMatrix().withFeature(LFeature)
|
||||
}
|
||||
}
|
||||
|
||||
LUDecompositionFeature::class, DeterminantFeature::class, InverseMatrixFeature::class -> object :
|
||||
LUDecompositionFeature<${type}>, DeterminantFeature<${type}>, InverseMatrixFeature<${type}> {
|
||||
private val lu by lazy {
|
||||
DecompositionFactory_${ops}.lu(FillReducing.NONE).apply { decompose(origin.copy()) }
|
||||
}
|
||||
|
||||
override val l: Matrix<${type}> by lazy {
|
||||
lu.getLower(null).wrapMatrix().withFeature(LFeature)
|
||||
}
|
||||
|
||||
override val u: Matrix<${type}> by lazy {
|
||||
lu.getUpper(null).wrapMatrix().withFeature(UFeature)
|
||||
}
|
||||
|
||||
override val inverse: Matrix<${type}> by lazy {
|
||||
var a = origin
|
||||
val inverse = ${ejmlMatrixDenseType}(1, 1)
|
||||
val solver = LinearSolverFactory_${ops}.lu(FillReducing.NONE)
|
||||
if (solver.modifiesA()) a = a.copy()
|
||||
val i = CommonOps_${denseOps}.identity(a.numRows)
|
||||
solver.solve(i, inverse)
|
||||
inverse.wrapMatrix()
|
||||
}
|
||||
|
||||
override val determinant: $type by lazy { elementAlgebra.number(lu.computeDeterminant().real) }
|
||||
}"""
|
||||
}
|
||||
|
||||
else -> null
|
||||
}?.let{
|
||||
type.cast(it)
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Solves for *x* in the following equation: *x = [a] <sup>-1</sup> · [b]*.
|
||||
*
|
||||
* @param a the base matrix.
|
||||
* @param b n by p matrix.
|
||||
* @return the solution for *x* that is n by p.
|
||||
*/
|
||||
public fun solve(a: Matrix<${type}>, b: Matrix<${type}>): Ejml${type}Matrix<${ejmlMatrixType}> {
|
||||
val res = ${ejmlMatrixType}(1, 1)
|
||||
CommonOps_${ops}.solve(${ejmlMatrixType}(a.toEjml().origin), ${ejmlMatrixType}(b.toEjml().origin), res)
|
||||
return res.wrapMatrix()
|
||||
}
|
||||
|
||||
/**
|
||||
* Solves for *x* in the following equation: *x = [a] <sup>-1</sup> · [b]*.
|
||||
*
|
||||
* @param a the base matrix.
|
||||
* @param b n by p vector.
|
||||
* @return the solution for *x* that is n by p.
|
||||
*/
|
||||
public fun solve(a: Matrix<${type}>, b: Point<${type}>): Ejml${type}Vector<${ejmlMatrixType}> {
|
||||
val res = ${ejmlMatrixType}(1, 1)
|
||||
CommonOps_${ops}.solve(${ejmlMatrixType}(a.toEjml().origin), ${ejmlMatrixType}(b.toEjml().origin), res)
|
||||
return Ejml${type}Vector(res)
|
||||
}
|
||||
}"""
|
||||
appendLine(text)
|
||||
appendLine()
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Generates routine EJML classes.
|
||||
*/
|
||||
fun ejmlCodegen(outputFile: String): Unit = File(outputFile).run {
|
||||
parentFile.mkdirs()
|
||||
|
||||
writer().use {
|
||||
it.appendLine("/*")
|
||||
it.appendLine(" * Copyright 2018-2021 KMath contributors.")
|
||||
it.appendLine(" * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.")
|
||||
it.appendLine(" */")
|
||||
it.appendLine()
|
||||
it.appendLine("/* This file is generated with buildSrc/src/main/kotlin/space/kscience/kmath/ejml/codegen/ejmlCodegen.kt */")
|
||||
it.appendLine()
|
||||
it.appendLine("package space.kscience.kmath.ejml")
|
||||
it.appendLine()
|
||||
it.appendLine("""import org.ejml.data.*
|
||||
import org.ejml.dense.row.CommonOps_DDRM
|
||||
import org.ejml.dense.row.CommonOps_FDRM
|
||||
import org.ejml.dense.row.factory.DecompositionFactory_DDRM
|
||||
import org.ejml.dense.row.factory.DecompositionFactory_FDRM
|
||||
import org.ejml.sparse.FillReducing
|
||||
import org.ejml.sparse.csc.CommonOps_DSCC
|
||||
import org.ejml.sparse.csc.CommonOps_FSCC
|
||||
import org.ejml.sparse.csc.factory.DecompositionFactory_DSCC
|
||||
import org.ejml.sparse.csc.factory.DecompositionFactory_FSCC
|
||||
import org.ejml.sparse.csc.factory.LinearSolverFactory_DSCC
|
||||
import org.ejml.sparse.csc.factory.LinearSolverFactory_FSCC
|
||||
import space.kscience.kmath.linear.*
|
||||
import space.kscience.kmath.linear.Matrix
|
||||
import space.kscience.kmath.UnstableKMathAPI
|
||||
import space.kscience.kmath.nd.StructureFeature
|
||||
import space.kscience.kmath.structures.Float64
|
||||
import space.kscience.kmath.structures.Float32
|
||||
import space.kscience.kmath.operations.Float64Field
|
||||
import space.kscience.kmath.operations.Float32Field
|
||||
import space.kscience.kmath.operations.DoubleField
|
||||
import space.kscience.kmath.operations.FloatField
|
||||
import space.kscience.kmath.operations.invoke
|
||||
import space.kscience.kmath.structures.Float64Buffer
|
||||
import space.kscience.kmath.structures.Float32Buffer
|
||||
import space.kscience.kmath.structures.DoubleBuffer
|
||||
import space.kscience.kmath.structures.FloatBuffer
|
||||
import kotlin.reflect.KClass
|
||||
import kotlin.reflect.cast""")
|
||||
it.appendLine()
|
||||
it.appendEjmlVector("Double", "DMatrix")
|
||||
it.appendEjmlVector("Float", "FMatrix")
|
||||
it.appendEjmlMatrix("Double", "DMatrix")
|
||||
it.appendEjmlMatrix("Float", "FMatrix")
|
||||
it.appendEjmlLinearSpace("Double", "Float64Field", "DMatrix", "DMatrixRMaj", "DMatrixRMaj", "DDRM", "DDRM", true)
|
||||
it.appendEjmlLinearSpace("Float", "Float32Field", "FMatrix", "FMatrixRMaj", "FMatrixRMaj", "FDRM", "FDRM", true)
|
||||
|
||||
it.appendEjmlLinearSpace(
|
||||
type = "Double",
|
||||
kmathAlgebra = "Float64Field",
|
||||
ejmlMatrixParentTypeMatrix = "DMatrix",
|
||||
ejmlMatrixType = "DMatrixSparseCSC",
|
||||
ejmlMatrixDenseType = "DMatrixRMaj",
|
||||
ops = "DSCC",
|
||||
denseOps = "DDRM",
|
||||
isDense = false,
|
||||
)
|
||||
|
||||
it.appendEjmlLinearSpace(
|
||||
type = "Float",
|
||||
kmathAlgebra = "Float32Field",
|
||||
ejmlMatrixParentTypeMatrix = "FMatrix",
|
||||
ejmlMatrixType = "FMatrixSparseCSC",
|
||||
ejmlMatrixDenseType = "FMatrixRMaj",
|
||||
ops = "FSCC",
|
||||
denseOps = "FDRM",
|
||||
isDense = false,
|
||||
)
|
||||
}
|
||||
}
|
||||
@ -1,6 +1,6 @@
|
||||
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
|
||||
<!--
|
||||
- Copyright 2018-2022 KMath contributors.
|
||||
- Copyright 2018-2024 KMath contributors.
|
||||
- Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
-->
|
||||
|
||||
|
||||
|
Before Width: | Height: | Size: 249 KiB After Width: | Height: | Size: 249 KiB |
@ -1,6 +1,6 @@
|
||||
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
|
||||
<!--
|
||||
- Copyright 2018-2022 KMath contributors.
|
||||
- Copyright 2018-2024 KMath contributors.
|
||||
- Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
-->
|
||||
|
||||
|
||||
|
Before Width: | Height: | Size: 19 KiB After Width: | Height: | Size: 19 KiB |
@ -1,6 +1,6 @@
|
||||
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
|
||||
<!--
|
||||
- Copyright 2018-2022 KMath contributors.
|
||||
- Copyright 2018-2024 KMath contributors.
|
||||
- Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
-->
|
||||
|
||||
|
||||
|
Before Width: | Height: | Size: 278 KiB After Width: | Height: | Size: 278 KiB |
@ -1,6 +1,6 @@
|
||||
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
|
||||
<!--
|
||||
- Copyright 2018-2022 KMath contributors.
|
||||
- Copyright 2018-2024 KMath contributors.
|
||||
- Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
-->
|
||||
|
||||
|
||||
|
Before Width: | Height: | Size: 118 KiB After Width: | Height: | Size: 118 KiB |
15
docs/templates/ARTIFACT-TEMPLATE.md
vendored
15
docs/templates/ARTIFACT-TEMPLATE.md
vendored
@ -3,25 +3,10 @@
|
||||
The Maven coordinates of this project are `${group}:${name}:${version}`.
|
||||
|
||||
**Gradle:**
|
||||
```groovy
|
||||
repositories {
|
||||
maven { url 'https://repo.kotlin.link' }
|
||||
mavenCentral()
|
||||
// development and snapshot versions
|
||||
maven { url 'https://maven.pkg.jetbrains.space/spc/p/sci/dev' }
|
||||
}
|
||||
|
||||
dependencies {
|
||||
implementation '${group}:${name}:${version}'
|
||||
}
|
||||
```
|
||||
**Gradle Kotlin DSL:**
|
||||
```kotlin
|
||||
repositories {
|
||||
maven("https://repo.kotlin.link")
|
||||
mavenCentral()
|
||||
// development and snapshot versions
|
||||
maven("https://maven.pkg.jetbrains.space/spc/p/sci/dev")
|
||||
}
|
||||
|
||||
dependencies {
|
||||
|
||||
26
docs/templates/README-TEMPLATE.md
vendored
26
docs/templates/README-TEMPLATE.md
vendored
@ -11,18 +11,21 @@ analog to Python's NumPy library. Later we found that kotlin is much more flexib
|
||||
architecture designs. In contrast to `numpy` and `scipy` it is modular and has a lightweight core. The `numpy`-like
|
||||
experience could be achieved with [kmath-for-real](/kmath-for-real) extension module.
|
||||
|
||||
[Documentation site (**WIP**)](https://SciProgCentre.github.io/kmath/)
|
||||
[Documentation site](https://SciProgCentre.github.io/kmath/)
|
||||
|
||||
## Publications and talks
|
||||
|
||||
* [A conceptual article about context-oriented design](https://proandroiddev.com/an-introduction-context-oriented-programming-in-kotlin-2e79d316b0a2)
|
||||
* [Another article about context-oriented design](https://proandroiddev.com/diving-deeper-into-context-oriented-programming-in-kotlin-3ecb4ec38814)
|
||||
* [ACAT 2019 conference paper](https://aip.scitation.org/doi/abs/10.1063/1.5130103)
|
||||
* [A talk at KotlinConf 2019 about using kotlin for science](https://youtu.be/LI_5TZ7tnOE?si=4LknX41gl_YeUbIe)
|
||||
* [A talk on architecture at Joker-2021 (in Russian)](https://youtu.be/1bZ2doHiRRM?si=9w953ro9yu98X_KJ)
|
||||
* [The same talk in English](https://youtu.be/yP5DIc2fVwQ?si=louZzQ1dcXV6gP10)
|
||||
* [A seminar on tensor API](https://youtu.be/0H99wUs0xTM?si=6c__04jrByFQtVpo)
|
||||
|
||||
# Goal
|
||||
|
||||
* Provide a flexible and powerful API to work with mathematics abstractions in Kotlin-multiplatform (JVM, JS and Native)
|
||||
.
|
||||
* Provide a flexible and powerful API to work with mathematics abstractions in Kotlin-multiplatform (JVM, JS, Native and Wasm).
|
||||
* Provide basic multiplatform implementations for those abstractions (without significant performance optimization).
|
||||
* Provide bindings and wrappers with those abstractions for popular optimized platform libraries.
|
||||
|
||||
@ -59,22 +62,21 @@ ${modules}
|
||||
KMath is developed as a multi-platform library, which means that most of the interfaces are declared in the
|
||||
[common source sets](/kmath-core/src/commonMain) and implemented there wherever it is possible. In some cases, features
|
||||
are delegated to platform-specific implementations even if they could be provided in the common module for performance
|
||||
reasons. Currently, the Kotlin/JVM is the primary platform, however Kotlin/Native and Kotlin/JS contributions and
|
||||
reasons. Currently, Kotlin/JVM is the primary platform, however, Kotlin/Native and Kotlin/JS contributions and
|
||||
feedback are also welcome.
|
||||
|
||||
## Performance
|
||||
|
||||
Calculation performance is one of major goals of KMath in the future, but in some cases it is impossible to achieve both
|
||||
Calculation of performance is one of the major goals of KMath in the future, but in some cases it is impossible to achieve both
|
||||
performance and flexibility.
|
||||
|
||||
We expect to focus on creating convenient universal API first and then work on increasing performance for specific
|
||||
We expect to focus on creating a convenient universal API first and then work on increasing performance for specific
|
||||
cases. We expect the worst KMath benchmarks will perform better than native Python, but worse than optimized
|
||||
native/SciPy (mostly due to boxing operations on primitive numbers). The best performance of optimized parts could be better than SciPy.
|
||||
|
||||
## Requirements
|
||||
|
||||
KMath currently relies on JDK 11 for compilation and execution of Kotlin-JVM part. We recommend to use GraalVM-CE 11 for
|
||||
execution to get better performance.
|
||||
KMath currently relies on JDK 11 for compilation and execution of Kotlin-JVM part. We recommend using GraalVM-CE or Oracle GraalVM for execution to get better performance.
|
||||
|
||||
### Repositories
|
||||
|
||||
@ -94,11 +96,7 @@ dependencies {
|
||||
}
|
||||
```
|
||||
|
||||
Gradle `6.0+` is required for multiplatform artifacts.
|
||||
|
||||
## Contributing
|
||||
|
||||
The project requires a lot of additional work. The most important thing we need is a feedback about what features are
|
||||
required the most. Feel free to create feature requests. We are also welcome to code contributions, especially in issues
|
||||
marked with
|
||||
[waiting for a hero](https://github.com/mipt-npm/kmath/labels/waiting%20for%20a%20hero) label.
|
||||
The project requires a lot of additional work. The most important thing we need is feedback about what features are
|
||||
required the most. Feel free to create feature requests. We are also welcome to code contributions, especially in issues marked with [good first issue](hhttps://github.com/SciProgCentre/kmath/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) label.
|
||||
@ -52,7 +52,7 @@ dependencies {
|
||||
|
||||
implementation("org.slf4j:slf4j-simple:1.7.32")
|
||||
// plotting
|
||||
implementation("space.kscience:plotlykt-server:0.5.0")
|
||||
implementation("space.kscience:plotlykt-server:0.7.0")
|
||||
}
|
||||
|
||||
kotlin {
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -13,10 +13,7 @@ import space.kscience.kmath.expressions.autodiff
|
||||
import space.kscience.kmath.expressions.symbol
|
||||
import space.kscience.kmath.operations.asIterable
|
||||
import space.kscience.kmath.operations.toList
|
||||
import space.kscience.kmath.optimization.FunctionOptimizationTarget
|
||||
import space.kscience.kmath.optimization.optimizeWith
|
||||
import space.kscience.kmath.optimization.resultPoint
|
||||
import space.kscience.kmath.optimization.resultValue
|
||||
import space.kscience.kmath.optimization.*
|
||||
import space.kscience.kmath.random.RandomGenerator
|
||||
import space.kscience.kmath.real.DoubleVector
|
||||
import space.kscience.kmath.real.map
|
||||
@ -80,8 +77,9 @@ suspend fun main() {
|
||||
val result = chi2.optimizeWith(
|
||||
CMOptimizer,
|
||||
mapOf(a to 1.5, b to 0.9, c to 1.0),
|
||||
FunctionOptimizationTarget.MINIMIZE
|
||||
)
|
||||
){
|
||||
FunctionOptimizationTarget(OptimizationDirection.MINIMIZE)
|
||||
}
|
||||
|
||||
//display a page with plot and numerical results
|
||||
val page = Plotly.page {
|
||||
@ -98,7 +96,7 @@ suspend fun main() {
|
||||
scatter {
|
||||
mode = ScatterMode.lines
|
||||
x(x)
|
||||
y(x.map { result.resultPoint[a]!! * it.pow(2) + result.resultPoint[b]!! * it + 1 })
|
||||
y(x.map { result.result[a]!! * it.pow(2) + result.result[b]!! * it + 1 })
|
||||
name = "fit"
|
||||
}
|
||||
}
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -7,6 +7,7 @@ package space.kscience.kmath.fit
|
||||
|
||||
import kotlinx.html.br
|
||||
import kotlinx.html.h3
|
||||
import space.kscience.attributes.Attributes
|
||||
import space.kscience.kmath.data.XYErrorColumnarData
|
||||
import space.kscience.kmath.distributions.NormalDistribution
|
||||
import space.kscience.kmath.expressions.Symbol
|
||||
@ -64,7 +65,7 @@ suspend fun main() {
|
||||
QowOptimizer,
|
||||
Double.autodiff,
|
||||
mapOf(a to 0.9, b to 1.2, c to 2.0, e to 1.0, d to 1.0, e to 0.0),
|
||||
OptimizationParameters(a, b, c, d)
|
||||
attributes = Attributes(OptimizationParameters, listOf(a, b, c, d))
|
||||
) { arg ->
|
||||
//bind variables to autodiff context
|
||||
val a by binding
|
||||
@ -94,13 +95,13 @@ suspend fun main() {
|
||||
scatter {
|
||||
mode = ScatterMode.lines
|
||||
x(x)
|
||||
y(x.map { result.model(result.startPoint + result.resultPoint + (Symbol.x to it)) })
|
||||
y(x.map { result.model(result.startPoint + result.result + (Symbol.x to it)) })
|
||||
name = "fit"
|
||||
}
|
||||
}
|
||||
br()
|
||||
h3 {
|
||||
+"Fit result: ${result.resultPoint}"
|
||||
+"Fit result: ${result.result}"
|
||||
}
|
||||
h3 {
|
||||
+"Chi2/dof = ${result.chiSquaredOrNull!! / result.dof}"
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -8,7 +8,6 @@ package space.kscience.kmath.functions
|
||||
import space.kscience.kmath.interpolation.SplineInterpolator
|
||||
import space.kscience.kmath.interpolation.interpolatePolynomials
|
||||
import space.kscience.kmath.operations.Float64Field
|
||||
import space.kscience.kmath.structures.Float64Buffer
|
||||
import space.kscience.plotly.Plotly
|
||||
import space.kscience.plotly.UnstablePlotlyAPI
|
||||
import space.kscience.plotly.makeFile
|
||||
@ -24,9 +23,7 @@ fun main() {
|
||||
x to sin(x)
|
||||
}
|
||||
|
||||
val polynomial: PiecewisePolynomial<Double> = SplineInterpolator(
|
||||
Float64Field, ::Float64Buffer
|
||||
).interpolatePolynomials(data)
|
||||
val polynomial: PiecewisePolynomial<Double> = SplineInterpolator(Float64Field).interpolatePolynomials(data)
|
||||
|
||||
val function = polynomial.asFunction(Float64Field, 0.0)
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,33 +1,28 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.kmath.linear
|
||||
|
||||
import space.kscience.kmath.operations.algebra
|
||||
import kotlin.random.Random
|
||||
import kotlin.time.ExperimentalTime
|
||||
import kotlin.time.measureTime
|
||||
|
||||
@OptIn(ExperimentalTime::class)
|
||||
fun main() {
|
||||
fun main() = with(Float64ParallelLinearSpace) {
|
||||
val random = Random(12224)
|
||||
val dim = 1000
|
||||
|
||||
//creating invertible matrix
|
||||
val matrix1 = Double.algebra.linearSpace.buildMatrix(dim, dim) { i, j ->
|
||||
val matrix1 = buildMatrix(dim, dim) { i, j ->
|
||||
if (i <= j) random.nextDouble() else 0.0
|
||||
}
|
||||
val matrix2 = Double.algebra.linearSpace.buildMatrix(dim, dim) { i, j ->
|
||||
val matrix2 = buildMatrix(dim, dim) { i, j ->
|
||||
if (i <= j) random.nextDouble() else 0.0
|
||||
}
|
||||
|
||||
val time = measureTime {
|
||||
with(Double.algebra.linearSpace) {
|
||||
repeat(10) {
|
||||
matrix1 dot matrix2
|
||||
}
|
||||
repeat(30) {
|
||||
matrix1 dot matrix2
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -0,0 +1,27 @@
|
||||
/*
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.kmath.linear
|
||||
|
||||
import kotlin.random.Random
|
||||
import kotlin.time.measureTime
|
||||
|
||||
fun main(): Unit = with(Float64LinearSpace) {
|
||||
val random = Random(1224)
|
||||
val dim = 500
|
||||
|
||||
//creating invertible matrix
|
||||
val u = buildMatrix(dim, dim) { i, j -> if (i <= j) random.nextDouble() else 0.0 }
|
||||
val l = buildMatrix(dim, dim) { i, j -> if (i >= j) random.nextDouble() else 0.0 }
|
||||
val matrix = l dot u
|
||||
|
||||
val time = measureTime {
|
||||
repeat(20) {
|
||||
lupSolver().inverse(matrix)
|
||||
}
|
||||
}
|
||||
|
||||
println(time)
|
||||
}
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -10,12 +10,14 @@ import space.kscience.kmath.linear.matrix
|
||||
import space.kscience.kmath.nd.Float64BufferND
|
||||
import space.kscience.kmath.nd.ShapeND
|
||||
import space.kscience.kmath.nd.Structure2D
|
||||
import space.kscience.kmath.nd.mutableStructureND
|
||||
import space.kscience.kmath.nd.ndAlgebra
|
||||
import space.kscience.kmath.viktor.ViktorStructureND
|
||||
import space.kscience.kmath.viktor.viktorAlgebra
|
||||
import kotlin.collections.component1
|
||||
import kotlin.collections.component2
|
||||
|
||||
fun main() {
|
||||
val viktorStructure: ViktorStructureND = Float64Field.viktorAlgebra.structureND(ShapeND(2, 2)) { (i, j) ->
|
||||
val viktorStructure = Float64Field.viktorAlgebra.mutableStructureND(2, 2) { (i, j) ->
|
||||
if (i == j) 2.0 else 0.0
|
||||
}
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,3 +1,8 @@
|
||||
/*
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.kmath.series
|
||||
|
||||
|
||||
@ -13,7 +18,10 @@ import space.kscience.kmath.structures.slice
|
||||
import space.kscience.plotly.*
|
||||
import kotlin.math.PI
|
||||
|
||||
fun main() = with(Double.algebra.bufferAlgebra.seriesAlgebra()) {
|
||||
fun Double.Companion.seriesAlgebra() = Double.algebra.bufferAlgebra.seriesAlgebra()
|
||||
|
||||
|
||||
fun main() = with(Double.seriesAlgebra()) {
|
||||
|
||||
|
||||
fun Plot.plotSeries(name: String, buffer: Buffer<Double>) {
|
||||
|
||||
@ -0,0 +1,50 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.kmath.series
|
||||
|
||||
|
||||
import space.kscience.kmath.structures.Buffer
|
||||
import space.kscience.kmath.structures.Float64Buffer
|
||||
import space.kscience.kmath.structures.asBuffer
|
||||
import space.kscience.kmath.structures.toDoubleArray
|
||||
import space.kscience.plotly.*
|
||||
import space.kscience.plotly.models.Scatter
|
||||
import space.kscience.plotly.models.ScatterMode
|
||||
import kotlin.random.Random
|
||||
|
||||
fun main(): Unit = with(Double.seriesAlgebra()) {
|
||||
|
||||
val random = Random(1234)
|
||||
|
||||
val arrayOfRandoms = DoubleArray(20) { random.nextDouble() }
|
||||
|
||||
val series1: Float64Buffer = arrayOfRandoms.asBuffer()
|
||||
val series2: Series<Double> = series1.moveBy(3)
|
||||
|
||||
val res = series2 - series1
|
||||
|
||||
println(res.size)
|
||||
|
||||
println(res)
|
||||
|
||||
fun Plot.series(name: String, buffer: Buffer<Double>, block: Scatter.() -> Unit = {}) {
|
||||
scatter {
|
||||
this.name = name
|
||||
x.numbers = buffer.offsetIndices
|
||||
y.doubles = buffer.toDoubleArray()
|
||||
block()
|
||||
}
|
||||
}
|
||||
|
||||
Plotly.plot {
|
||||
series("series1", series1)
|
||||
series("series2", series2)
|
||||
series("dif", res) {
|
||||
mode = ScatterMode.lines
|
||||
line.color("magenta")
|
||||
}
|
||||
}.makeFile(resourceLocation = ResourceLocation.REMOTE)
|
||||
}
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -8,7 +8,7 @@
|
||||
package space.kscience.kmath.structures
|
||||
|
||||
import space.kscience.kmath.complex.*
|
||||
import space.kscience.kmath.linear.transpose
|
||||
import space.kscience.kmath.linear.transposed
|
||||
import space.kscience.kmath.nd.StructureND
|
||||
import space.kscience.kmath.nd.as2D
|
||||
import space.kscience.kmath.nd.ndAlgebra
|
||||
@ -60,7 +60,7 @@ fun complexExample() {
|
||||
val sum = matrix + x + 1.0
|
||||
|
||||
//Represent the sum as 2d-structure and transpose
|
||||
sum.as2D().transpose()
|
||||
sum.as2D().transposed()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -7,6 +7,7 @@ package space.kscience.kmath.structures
|
||||
|
||||
import space.kscience.kmath.PerformancePitfall
|
||||
import space.kscience.kmath.nd.*
|
||||
import space.kscience.kmath.operations.DoubleField
|
||||
import space.kscience.kmath.operations.ExtendedField
|
||||
import space.kscience.kmath.operations.Float64Field
|
||||
import space.kscience.kmath.operations.NumbersAddOps
|
||||
@ -52,6 +53,15 @@ class StreamDoubleFieldND(override val shape: ShapeND) : FieldND<Double, Float64
|
||||
return BufferND(strides, array.asBuffer())
|
||||
}
|
||||
|
||||
override fun mutableStructureND(shape: ShapeND, initializer: DoubleField.(IntArray) -> Double): MutableBufferND<Double> {
|
||||
val array = IntStream.range(0, strides.linearSize).parallel().mapToDouble { offset ->
|
||||
val index = strides.index(offset)
|
||||
DoubleField.initializer(index)
|
||||
}.toArray()
|
||||
|
||||
return MutableBufferND(strides, array.asBuffer())
|
||||
}
|
||||
|
||||
@OptIn(PerformancePitfall::class)
|
||||
override fun StructureND<Double>.map(
|
||||
transform: Float64Field.(Double) -> Double,
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,25 +1,23 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.kmath.structures
|
||||
|
||||
import space.kscience.kmath.nd.BufferND
|
||||
import space.kscience.kmath.nd.ShapeND
|
||||
import space.kscience.kmath.nd.StructureND
|
||||
import space.kscience.kmath.operations.mapToBuffer
|
||||
import kotlin.system.measureTimeMillis
|
||||
|
||||
private inline fun <T, reified R : Any> BufferND<T>.mapToBufferND(
|
||||
bufferFactory: BufferFactory<R> = BufferFactory.auto(),
|
||||
bufferFactory: BufferFactory<R> = BufferFactory(),
|
||||
crossinline block: (T) -> R,
|
||||
): BufferND<R> = BufferND(indices, buffer.mapToBuffer(bufferFactory, block))
|
||||
|
||||
@Suppress("UNUSED_VARIABLE")
|
||||
fun main() {
|
||||
val n = 6000
|
||||
val structure = StructureND.buffered(ShapeND(n, n), Buffer.Companion::auto) { 1.0 }
|
||||
val structure = BufferND(n, n) { 1.0 }
|
||||
structure.mapToBufferND { it + 1 } // warm-up
|
||||
val time1 = measureTimeMillis { val res = structure.mapToBufferND { it + 1 } }
|
||||
println("Structure mapping finished in $time1 millis")
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -13,7 +13,7 @@ import space.kscience.kmath.operations.withSize
|
||||
inline fun <reified R : Any> MutableBuffer.Companion.same(
|
||||
n: Int,
|
||||
value: R
|
||||
): MutableBuffer<R> = auto(n) { value }
|
||||
): MutableBuffer<R> = MutableBuffer(n) { value }
|
||||
|
||||
|
||||
fun main() {
|
||||
|
||||
@ -0,0 +1,26 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.kmath.structures
|
||||
|
||||
import space.kscience.kmath.PerformancePitfall
|
||||
import space.kscience.kmath.nd.*
|
||||
import space.kscience.kmath.operations.algebra
|
||||
|
||||
@OptIn(PerformancePitfall::class)
|
||||
fun main(): Unit = with(Double.algebra.ndAlgebra) {
|
||||
val structure: MutableStructure2D<Double> = mutableStructureND(ShapeND(2, 2)) { (i, j) ->
|
||||
i.toDouble() + j.toDouble()
|
||||
}.as2D()
|
||||
|
||||
structure[0, 1] = -2.0
|
||||
|
||||
val structure2 = mutableStructureND(2, 2) { (i, j) -> i.toDouble() + j.toDouble() }.as2D()
|
||||
|
||||
structure2[0, 1] = 2.0
|
||||
|
||||
|
||||
println(structure + structure2)
|
||||
}
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -15,7 +15,7 @@ private fun DMatrixContext<Double, *>.simple() {
|
||||
val m2 = produce<D3, D2> { i, j -> (i + j).toDouble() }
|
||||
|
||||
//Dimension-safe addition
|
||||
m1.transpose() + m2
|
||||
m1.transposed() + m2
|
||||
}
|
||||
|
||||
private object D5 : Dimension {
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2023 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
2
gradle/wrapper/gradle-wrapper.properties
vendored
2
gradle/wrapper/gradle-wrapper.properties
vendored
@ -1,5 +1,5 @@
|
||||
distributionBase=GRADLE_USER_HOME
|
||||
distributionPath=wrapper/dists
|
||||
distributionUrl=https\://services.gradle.org/distributions/gradle-8.4-bin.zip
|
||||
distributionUrl=https\://services.gradle.org/distributions/gradle-8.6-bin.zip
|
||||
zipStoreBase=GRADLE_USER_HOME
|
||||
zipStorePath=wrapper/dists
|
||||
|
||||
@ -10,19 +10,8 @@ Extensions to MST API: transformations, dynamic compilation and visualization.
|
||||
|
||||
## Artifact:
|
||||
|
||||
The Maven coordinates of this project are `space.kscience:kmath-ast:0.4.0-dev-1`.
|
||||
The Maven coordinates of this project are `space.kscience:kmath-ast:0.4.0-dev-3`.
|
||||
|
||||
**Gradle Groovy:**
|
||||
```groovy
|
||||
repositories {
|
||||
maven { url 'https://repo.kotlin.link' }
|
||||
mavenCentral()
|
||||
}
|
||||
|
||||
dependencies {
|
||||
implementation 'space.kscience:kmath-ast:0.4.0-dev-1'
|
||||
}
|
||||
```
|
||||
**Gradle Kotlin DSL:**
|
||||
```kotlin
|
||||
repositories {
|
||||
@ -31,7 +20,7 @@ repositories {
|
||||
}
|
||||
|
||||
dependencies {
|
||||
implementation("space.kscience:kmath-ast:0.4.0-dev-1")
|
||||
implementation("space.kscience:kmath-ast:0.4.0-dev-3")
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
@ -31,7 +31,7 @@ kscience{
|
||||
kotlin {
|
||||
js {
|
||||
nodejs {
|
||||
testTask {
|
||||
testTask{
|
||||
useMocha().timeout = "0"
|
||||
}
|
||||
}
|
||||
|
||||
@ -1,10 +1,12 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
package space.kscience.kmath.ast
|
||||
|
||||
import space.kscience.attributes.SafeType
|
||||
import space.kscience.attributes.WithType
|
||||
import space.kscience.kmath.expressions.Expression
|
||||
import space.kscience.kmath.expressions.Symbol
|
||||
import space.kscience.kmath.operations.Algebra
|
||||
@ -15,7 +17,7 @@ import space.kscience.kmath.operations.NumericAlgebra
|
||||
*
|
||||
* @param T the type.
|
||||
*/
|
||||
public sealed interface TypedMst<T> {
|
||||
public sealed interface TypedMst<T> : WithType<T> {
|
||||
/**
|
||||
* A node containing a unary operation.
|
||||
*
|
||||
@ -24,8 +26,13 @@ public sealed interface TypedMst<T> {
|
||||
* @property function The function implementing this operation.
|
||||
* @property value The argument of this operation.
|
||||
*/
|
||||
public class Unary<T>(public val operation: String, public val function: (T) -> T, public val value: TypedMst<T>) :
|
||||
TypedMst<T> {
|
||||
public class Unary<T>(
|
||||
public val operation: String,
|
||||
public val function: (T) -> T,
|
||||
public val value: TypedMst<T>,
|
||||
) : TypedMst<T> {
|
||||
override val type: SafeType<T> get() = value.type
|
||||
|
||||
override fun equals(other: Any?): Boolean {
|
||||
if (this === other) return true
|
||||
if (other == null || this::class != other::class) return false
|
||||
@ -59,6 +66,13 @@ public sealed interface TypedMst<T> {
|
||||
public val left: TypedMst<T>,
|
||||
public val right: TypedMst<T>,
|
||||
) : TypedMst<T> {
|
||||
|
||||
init {
|
||||
require(left.type==right.type){"Left and right expressions must be of the same type"}
|
||||
}
|
||||
|
||||
override val type: SafeType<T> get() = left.type
|
||||
|
||||
override fun equals(other: Any?): Boolean {
|
||||
if (this === other) return true
|
||||
if (other == null || this::class != other::class) return false
|
||||
@ -89,7 +103,12 @@ public sealed interface TypedMst<T> {
|
||||
* @property value The held value.
|
||||
* @property number The number this value corresponds.
|
||||
*/
|
||||
public class Constant<T>(public val value: T, public val number: Number?) : TypedMst<T> {
|
||||
public class Constant<T>(
|
||||
override val type: SafeType<T>,
|
||||
public val value: T,
|
||||
public val number: Number?,
|
||||
) : TypedMst<T> {
|
||||
|
||||
override fun equals(other: Any?): Boolean {
|
||||
if (this === other) return true
|
||||
if (other == null || this::class != other::class) return false
|
||||
@ -114,7 +133,7 @@ public sealed interface TypedMst<T> {
|
||||
* @param T the type.
|
||||
* @property symbol The symbol of the variable.
|
||||
*/
|
||||
public class Variable<T>(public val symbol: Symbol) : TypedMst<T> {
|
||||
public class Variable<T>(override val type: SafeType<T>, public val symbol: Symbol) : TypedMst<T> {
|
||||
override fun equals(other: Any?): Boolean {
|
||||
if (this === other) return true
|
||||
if (other == null || this::class != other::class) return false
|
||||
@ -167,6 +186,7 @@ public fun <T> TypedMst<T>.interpret(algebra: Algebra<T>, vararg arguments: Pair
|
||||
/**
|
||||
* Interpret this [TypedMst] node as expression.
|
||||
*/
|
||||
public fun <T : Any> TypedMst<T>.toExpression(algebra: Algebra<T>): Expression<T> = Expression { arguments ->
|
||||
interpret(algebra, arguments)
|
||||
}
|
||||
public fun <T : Any> TypedMst<T>.toExpression(algebra: Algebra<T>): Expression<T> =
|
||||
Expression(algebra.type) { arguments ->
|
||||
interpret(algebra, arguments)
|
||||
}
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
@ -16,6 +16,7 @@ import space.kscience.kmath.operations.bindSymbolOrNull
|
||||
*/
|
||||
public fun <T> MST.evaluateConstants(algebra: Algebra<T>): TypedMst<T> = when (this) {
|
||||
is MST.Numeric -> TypedMst.Constant(
|
||||
algebra.type,
|
||||
(algebra as? NumericAlgebra<T>)?.number(value) ?: error("Numeric nodes are not supported by $algebra"),
|
||||
value,
|
||||
)
|
||||
@ -27,7 +28,7 @@ public fun <T> MST.evaluateConstants(algebra: Algebra<T>): TypedMst<T> = when (t
|
||||
arg.value,
|
||||
)
|
||||
|
||||
TypedMst.Constant(value, if (value is Number) value else null)
|
||||
TypedMst.Constant(algebra.type, value, if (value is Number) value else null)
|
||||
}
|
||||
|
||||
else -> TypedMst.Unary(operation, algebra.unaryOperationFunction(operation), arg)
|
||||
@ -59,7 +60,7 @@ public fun <T> MST.evaluateConstants(algebra: Algebra<T>): TypedMst<T> = when (t
|
||||
)
|
||||
}
|
||||
|
||||
TypedMst.Constant(value, if (value is Number) value else null)
|
||||
TypedMst.Constant(algebra.type, value, if (value is Number) value else null)
|
||||
}
|
||||
|
||||
algebra is NumericAlgebra && left is TypedMst.Constant && left.number != null -> TypedMst.Binary(
|
||||
@ -84,8 +85,8 @@ public fun <T> MST.evaluateConstants(algebra: Algebra<T>): TypedMst<T> = when (t
|
||||
val boundSymbol = algebra.bindSymbolOrNull(this)
|
||||
|
||||
if (boundSymbol != null)
|
||||
TypedMst.Constant(boundSymbol, if (boundSymbol is Number) boundSymbol else null)
|
||||
TypedMst.Constant(algebra.type, boundSymbol, if (boundSymbol is Number) boundSymbol else null)
|
||||
else
|
||||
TypedMst.Variable(this)
|
||||
TypedMst.Variable(algebra.type, this)
|
||||
}
|
||||
}
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
/*
|
||||
* Copyright 2018-2022 KMath contributors.
|
||||
* Copyright 2018-2024 KMath contributors.
|
||||
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
|
||||
*/
|
||||
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue
Block a user