forked from kscience/kmath
Remove vector type from polygon
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docs/templates/README-TEMPLATE.md
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docs/templates/README-TEMPLATE.md
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@ -59,22 +59,21 @@ ${modules}
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KMath is developed as a multi-platform library, which means that most of the interfaces are declared in the
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KMath is developed as a multi-platform library, which means that most of the interfaces are declared in the
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[common source sets](/kmath-core/src/commonMain) and implemented there wherever it is possible. In some cases, features
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[common source sets](/kmath-core/src/commonMain) and implemented there wherever it is possible. In some cases, features
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are delegated to platform-specific implementations even if they could be provided in the common module for performance
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are delegated to platform-specific implementations even if they could be provided in the common module for performance
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reasons. Currently, the Kotlin/JVM is the primary platform, however Kotlin/Native and Kotlin/JS contributions and
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reasons. Currently, Kotlin/JVM is the primary platform, however, Kotlin/Native and Kotlin/JS contributions and
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feedback are also welcome.
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feedback are also welcome.
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## Performance
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## Performance
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Calculation performance is one of major goals of KMath in the future, but in some cases it is impossible to achieve both
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Calculation of performance is one of the major goals of KMath in the future, but in some cases it is impossible to achieve both
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performance and flexibility.
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performance and flexibility.
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We expect to focus on creating convenient universal API first and then work on increasing performance for specific
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We expect to focus on creating a convenient universal API first and then work on increasing performance for specific
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cases. We expect the worst KMath benchmarks will perform better than native Python, but worse than optimized
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cases. We expect the worst KMath benchmarks will perform better than native Python, but worse than optimized
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native/SciPy (mostly due to boxing operations on primitive numbers). The best performance of optimized parts could be better than SciPy.
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native/SciPy (mostly due to boxing operations on primitive numbers). The best performance of optimized parts could be better than SciPy.
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## Requirements
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## Requirements
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KMath currently relies on JDK 11 for compilation and execution of Kotlin-JVM part. We recommend to use GraalVM-CE 11 for
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KMath currently relies on JDK 11 for compilation and execution of Kotlin-JVM part. We recommend using GraalVM-CE 11/17 for execution to get better performance.
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execution to get better performance.
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### Repositories
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### Repositories
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@ -94,11 +93,9 @@ dependencies {
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}
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}
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```
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```
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Gradle `6.0+` is required for multiplatform artifacts.
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## Contributing
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## Contributing
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The project requires a lot of additional work. The most important thing we need is a feedback about what features are
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The project requires a lot of additional work. The most important thing we need is a feedback about what features are
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required the most. Feel free to create feature requests. We are also welcome to code contributions, especially in issues
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required the most. Feel free to create feature requests. We are also welcome to code contributions, especially in issues
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marked with
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marked with
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[waiting for a hero](https://github.com/mipt-npm/kmath/labels/waiting%20for%20a%20hero) label.
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[good first issue](hhttps://github.com/SciProgCentre/kmath/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) label.
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@ -9,6 +9,6 @@ package space.kscience.kmath.geometry
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/**
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/**
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* A closed polygon in 2D space
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* A closed polygon in 2D space
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*/
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*/
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public interface Polygon<T> {
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public interface Polygon<V: Any> {
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public val points: List<Vector2D<T>>
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public val points: List<V>
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}
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}
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