forked from kscience/kmath
Fix publish.yml
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.github/workflows/publish.yml
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.github/workflows/publish.yml
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@ -44,11 +44,9 @@ jobs:
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run: >
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./gradlew release --no-daemon -Ppublishing.enabled=true -Ppublishing.space.user=${{ secrets.SPACE_APP_ID }}
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-Ppublishing.space.token=${{ secrets.SPACE_APP_SECRET }}
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-Ppublishing.sonatype=false
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- name: Publish Mac Artifacts
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if: matrix.os == 'macOS-latest'
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run: >
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./gradlew release --no-daemon -Ppublishing.enabled=true -Ppublishing.platform=macosX64
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-Ppublishing.space.user=${{ secrets.SPACE_APP_ID }}
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-Ppublishing.space.token=${{ secrets.SPACE_APP_SECRET }}
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-Ppublishing.sonatype=false
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@ -132,7 +132,7 @@ KMath is a modular library. Different modules provide different features with di
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objects to the expression by providing a context. Expressions can be used for a wide variety of purposes from high
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performance calculations to code generation.
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> - [domains](kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains) : Domains
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> - [autodif](kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation
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> - [autodiff](kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation
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<hr/>
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@ -222,8 +222,8 @@ One can still use generic algebras though.
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> **Maturity**: EXPERIMENTAL
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>
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> **Features:**
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> - [differentiable-mst-expression](kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/DifferentiableMstExpression.kt) : MST based DifferentiableExpression.
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> - [differentiable-mst-expression](kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/DifferentiableMstExpression.kt) : Conversions between Kotlin∇'s SFun and MST
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> - [differentiable-mst-expression](kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KotlingradExpression.kt) : MST based DifferentiableExpression.
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> - [scalars-adapters](kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/scalarsAdapters.kt) : Conversions between Kotlin∇'s SFun and MST
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<hr/>
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@ -264,7 +264,7 @@ One can still use generic algebras though.
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>
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> **Features:**
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> - [tensor algebra](kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt) : Basic linear algebra operations on tensors (plus, dot, etc.)
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> - [tensor algebra with broadcasting](kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/algebras/BroadcastDoubleTensorAlgebra.kt) : Basic linear algebra operations implemented with broadcasting.
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> - [tensor algebra with broadcasting](kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt) : Basic linear algebra operations implemented with broadcasting.
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> - [linear algebra operations](kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt) : Advanced linear algebra operations like LU decomposition, SVD, etc.
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<hr/>
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@ -2,8 +2,8 @@
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[Kotlin∇](https://www.htmlsymbols.xyz/unicode/U+2207) integration module.
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- [differentiable-mst-expression](src/main/kotlin/space/kscience/kmath/kotlingrad/DifferentiableMstExpression.kt) : MST based DifferentiableExpression.
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- [differentiable-mst-expression](src/main/kotlin/space/kscience/kmath/kotlingrad/DifferentiableMstExpression.kt) : Conversions between Kotlin∇'s SFun and MST
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- [differentiable-mst-expression](src/main/kotlin/space/kscience/kmath/kotlingrad/KotlingradExpression.kt) : MST based DifferentiableExpression.
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- [scalars-adapters](src/main/kotlin/space/kscience/kmath/kotlingrad/scalarsAdapters.kt) : Conversions between Kotlin∇'s SFun and MST
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## Artifact:
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@ -5,7 +5,7 @@ pluginManagement {
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gradlePluginPortal()
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}
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val toolsVersion = "0.10.1"
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val toolsVersion = "0.10.2"
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val kotlinVersion = "1.5.21"
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plugins {
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