pre-0.0.3 #46
63
README.md
63
README.md
@ -1,53 +1,54 @@
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# KMath
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Kotlin MATHematics library is intended as a kotlin based analog of numpy python library. Contrary to `numpy`
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and `scipy` it is modular and has a lightweight core.
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The Kotlin MATHematics library is intended as a Kotlin-based analog to Python's `numpy` library. In contrast to `numpy` and `scipy` it is modular and has a lightweight core.
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|
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## Features
|
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|
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* **Algebra**
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* Mathematical operation entities like rings, spaces and fields with (**TODO** add example to wiki)
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* Basic linear algebra operations (summs products, etc) backed by `Space` API.
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* Complex numbers backed by `Field` API (meaning that they will be useable in any structures like vectors and NDArrays).
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* [In progress] advanced linear algebra operations like matrix inversions.
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* **Array-like structures** Full support of numpy-like ndarray including mixed arithmetic operations and function operations
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on arrays and numbers just like it works in python (with benefit of static type checking).
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* Algebraic structures like rings, spaces and field (**TODO** add example to wiki)
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* Basic linear algebra operations (sums, products, etc.), backed by the `Space` API.
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* Complex numbers backed by the `Field` API (meaning that they will be usable in any structure like vectors and N-dimensional arrays).
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* [In progress] advanced linear algebra operations like matrix inversion and LU decomposition.
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* **Array-like structures** Full support of [numpy-like ndarrays](https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.html) including mixed arithmetic operations and function operations over arrays and numbers just like in Python (with the added benefit of static type checking).
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* **Expressions** Expressions are one of the ultimate goals of kmath. It is planned to be able to write some mathematical
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expression once an then apply it to different types of objects by providing different context. Exception could be used
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for a wide variety of purposes from high performance calculations to code generation.
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* **Expressions** Expressions are one of the ultimate goals of KMath. By writing a single mathematical expression
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once, users will be able to apply different types of objects to the expression by providing a context. Exceptions
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can be used for a wide variety of purposes from high performance calculations to code generation.
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## Planned features
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* **Common mathematics** It is planned to gradually wrap most parts of [Apache commons-math](http://commons.apache.org/proper/commons-math/)
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library in kotlin code and maybe rewrite some parts to better suite kotlin programming paradigm. There is no fixed priority list for that. Feel free
|
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to submit a future request if you want something to be done first.
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library in Kotlin code and maybe rewrite some parts to better suit the Kotlin programming paradigm, however there is no fixed roadmap for that. Feel free
|
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to submit a feature request if you want something to be done first.
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* **Messaging** A mathematical notation to support multi-language and multi-node communication for mathematical tasks.
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## Multi-platform support
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KMath is developed as a multi-platform library, which means that most of interfaces are declared in common module.
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Implementation is also done in common module wherever it is possible. In some cases features are delegated to
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platform even if they could be done in common module because of platform performance optimization.
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Currently the main focus of development is the JVM platform, contribution of implementations for Kotlin - Native and
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Kotlin - JS is welcome.
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KMath is developed as a multi-platform library, which means that most of interfaces are declared in the [common module](kmath-core/src/commonMain).
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Implementation is also done in the common module wherever possible. In some cases, features are delegated to
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platform-specific implementations even if they could be done in the common module for performance reasons.
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Currently, the JVM is the main focus of development, however Kotlin/Native and Kotlin/JS contributions are also welcome.
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## Performance
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The calculation performance is one of major goals of KMath in the future, but in some cases it is not possible to achieve
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both performance and flexibility. We expect to firstly focus on creating convenient universal API and then work on
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increasing performance for specific cases. We expect the worst KMath performance still be better than natural python,
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but worse than optimized native/scipy (mostly due to boxing operations on primitive numbers). The best performance
|
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of optimized parts should be better than scipy.
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|
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Calculation performance is one of major goals of KMath in the future, but in some cases it is not possible to achieve
|
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both performance and flexibility. We expect to focus on creating 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,
|
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but worse than optimized native/SciPy (mostly due to boxing operations on primitive numbers). The best performance
|
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of optimized parts should be better than SciPy.
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## Releases
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The project is currently in pre-release stage. Nightly builds could be used by adding additional repository to (groovy) gradle config:
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The project is currently in pre-release stage. Nightly builds can be used by adding an additional repository to the Gradle config like so:
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```groovy
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repositories {
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maven { url = "http://npm.mipt.ru:8081/artifactory/gradle-dev" }
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mavenCentral()
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}
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```
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or for kotlin gradle dsl:
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or for the Gradle Kotlin DSL:
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```kotlin
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repositories {
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@ -56,16 +57,20 @@ repositories {
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||||
}
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```
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Then use regular dependency like
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Then use a regular dependency like so:
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```groovy
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compile(group: 'scientifik', name: 'kmath-core', version: '0.0.1-SNAPSHOT')
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```
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or in kotlin
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or in the Gradle Kotlin DSL:
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```kotlin
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compile(group = "scientifik", name = "kmath-core", version = "0.0.1-SNAPSHOT")
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```
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Work builds could be obtained with [](https://jitpack.io/#altavir/kmath).
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Working builds can be obtained here: [](https://jitpack.io/#altavir/kmath).
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## Contributing
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The project requires a lot of additional work. Please fill free to contribute in any way and propose new features.
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The project requires a lot of additional work. Please fill free to contribute in any way and propose new features.
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@ -1,50 +1,57 @@
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# Context-oriented mathematics
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## The problem
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A known problem for implementing mathematics in statically-typed languages (and not only in them) is that different
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sets of mathematical operation could be defined on the same mathematical objects. Sometimes there is not single way to
|
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treat some operations like basic arithmetic operations on Java/Kotlin `Number`. Sometimes there are different ways to do
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the same thing like Euclidean and elliptic geometry vector spaces defined over real vectors. Another problem arises when
|
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one wants to add some kind of behavior to existing entity. In dynamic languages those problems are usually solved
|
||||
by adding dynamic context-specific behaviors in runtime, but this solution has a lot of drawbacks.
|
||||
A known problem for implementing mathematics in statically-typed languages (but not only in them) is that different
|
||||
sets of mathematical operators can be defined on the same mathematical objects. Sometimes there is no single way to
|
||||
treat some operations, including basic arithmetic operations, on a Java/Kotlin `Number`. Sometimes there are different ways to
|
||||
define the same structure, such as Euclidean and elliptic geometry vector spaces over real vectors. Another problem arises when
|
||||
one wants to add some kind of behavior to an existing entity. In dynamic languages those problems are usually solved
|
||||
by adding dynamic context-specific behaviors at runtime, but this solution has a lot of drawbacks.
|
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|
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## Context-oriented approach
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One of possible solutions to those problems is to completely separate object numerical representations from behaviors.
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In terms of kotlin it means to have separate class to represent some entity without any operations,
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One possible solution to these problems is to completely separate numerical representations from behaviors.
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One solution in Kotlin, is to define a separate class which represents some entity without any operations,
|
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for example a complex number:
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|
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```kotlin
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data class Complex(val re: Double, val im: Double)
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```
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And a separate class or singleton, representing operation on those complex numbers:
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||||
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And then define a separate class or singleton, representing an operation on those complex numbers:
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||||
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||||
```kotlin
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object: ComplexOperations{
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object ComplexOperations {
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operator fun Complex.plus(other: Complex) = Complex(re + other.re, im + other.im)
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operator fun Complex.minus(other: Complex) = Complex(re - other.re, im - other.im)
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}
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```
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|
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In Java, application of such external operations could be very cumbersome, but Kotlin has a unique feature which allows
|
||||
to treat this situation: blocks with receivers. So in kotlin, operation on complex number could beimplemented as:
|
||||
In Java, applying such external operations could be very cumbersome, but Kotlin has a unique feature which allows
|
||||
to treat this situation: [extensions with receivers](https://kotlinlang.org/docs/reference/extensions.html#extension-functions).
|
||||
So in Kotlin, an operation on complex number could be implemented as:
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||||
|
||||
```kotlin
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with(ComplexOperations){c1 + c2 - c3}
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with(ComplexOperations) { c1 + c2 - c3 }
|
||||
```
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||||
|
||||
Kotlin also allows to create functions with receivers:
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||||
|
||||
```kotlin
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fun ComplexOperations.doSomethingWithComplex(c1: Complex, c2: Complex, c3: Complex) = c1 + c2 - c3
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||||
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||||
ComplexOperations.doComethingWithComplex(c1,c2,c3)
|
||||
```
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In fact, whole parts of program could run in a mathematical context or even multiple nested contexts.
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In fact, whole parts of a program may be run within a mathematical context or even multiple nested contexts.
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In `kmath` contexts are responsible not only for operations, but also for raw object creation and advanced features.
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In KMath, contexts are responsible not only for operations, but also for raw object creation and advanced features.
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## Other possibilities
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An obvious candidate to get more or less the same functionality is type-class feature. It allows to bind a behavior to
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a specific type without modifying the type itself. On a plus side, type-classes do not require explicit context
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An obvious candidate to get more or less the same functionality is the type-class, which allows one to bind a behavior to
|
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a specific type without modifying the type itself. On the plus side, type-classes do not require explicit context
|
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declaration, so the code looks cleaner. On the minus side, if there are different sets of behaviors for the same types,
|
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it is impossible to combine them in the single module. Also, unlike type-classes, context could have parameters or even
|
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state. For example in `kmath`, sizes and strides for `NDElement` or `Matrix` could be moved to context to optimize
|
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performance in case of large amount of structures.
|
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it is impossible to combine them into one module. Also, unlike type-classes, context can have parameters or even
|
||||
state. For example in KMath, sizes and strides for `NDElement` or `Matrix` could be moved to context to optimize
|
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performance in case of a large amount of structures.
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@ -1,38 +1,40 @@
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## Spaces and fields
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An obvious first choice of mathematical objects to implement in context-oriented style are algebra elements like spaces,
|
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rings and fields. Those are located in a `scientifik.kmath.operations.Algebra.kt` file. Alongside algebric context
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||||
themselves, the file includes definitions for algebra elements such as `FieldElement`. A `FieldElement` object
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||||
stores a reference to the `Field` which contains a additive and multiplicative operations for it, meaning
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it has one fixed context attached to it and does not require explicit external context. So those `MathElements` could be
|
||||
operated without context:
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||||
An obvious first choice of mathematical objects to implement in a context-oriented style are algebraic elements like spaces,
|
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rings and fields. Those are located in the `scientifik.kmath.operations.Algebra.kt` file. Alongside common contexts, the file includes definitions for algebra elements like `FieldElement`. A `FieldElement` object
|
||||
stores a reference to the `Field` which contains additive and multiplicative operations, meaning
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||||
it has one fixed context attached and does not require explicit external context. So those `MathElements` can be operated without context:
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||||
|
||||
```kotlin
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val c1 = Complex(1.0, 2.0)
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val c2 = ComplexField.i
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val c3 = c1 + c2
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```
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`ComplexField` also features special operations to mix complex numbers with real numbers like:
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||||
|
||||
`ComplexField` also features special operations to mix complex and real numbers, for example:
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||||
|
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```kotlin
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val c1 = Complex(1.0,2.0)
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val c2 = ComplexField.run{ c1 - 1.0} //returns [re:0.0, im: 2.0]
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val c2 = ComplexField.run{ c1 - 1.0} // Returns: [re:0.0, im: 2.0]
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val c3 = ComplexField.run{ c1 - i*2.0}
|
||||
```
|
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|
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**Note**: In theory it is possible to add behaviors directly to the context, but currently kotlin syntax does not support
|
||||
that. Watch [KT-10468](https://youtrack.jetbrains.com/issue/KT-10468) for news.
|
||||
that. Watch [KT-10468](https://youtrack.jetbrains.com/issue/KT-10468) for updates.
|
||||
|
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## Nested fields
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||||
|
||||
Algebra contexts allow to create more complex structures. For example, it is possible to create a `Matrix` from complex
|
||||
elements like this:
|
||||
Contexts allow one to build more complex structures. For example, it is possible to create a `Matrix` from complex elements like so:
|
||||
|
||||
```kotlin
|
||||
val element = NDElements.create(field = ComplexField, shape = intArrayOf(2,2)){index: IntArray ->
|
||||
Complex(index[0] - index[1], index[0] + index[1])
|
||||
}
|
||||
```
|
||||
The `element` in this example is a member of `Field` of 2-d structures, each element of which is a member of its own
|
||||
`ComplexField`. The important thing is that one does not need to create a special nd-structure to hold complex
|
||||
numbers and implements operations on it, one need just to provide a field for its elements.
|
||||
|
||||
**Note**: Fields themselves do not solve problem of JVM boxing, but it is possible to solve with special contexts like
|
||||
The `element` in this example is a member of the `Field` of 2-d structures, each element of which is a member of its own
|
||||
`ComplexField`. The important thing is one does not need to create a special n-d class to hold complex
|
||||
numbers and implement operations on it, one just needs to provide a field for its elements.
|
||||
|
||||
**Note**: Fields themselves do not solve the problem of JVM boxing, but it is possible to solve with special contexts like
|
||||
`BufferSpec`. This feature is in development phase.
|
||||
BIN
gradle/wrapper/gradle-wrapper.jar
vendored
Normal file
BIN
gradle/wrapper/gradle-wrapper.jar
vendored
Normal file
Binary file not shown.
5
gradle/wrapper/gradle-wrapper.properties
vendored
Normal file
5
gradle/wrapper/gradle-wrapper.properties
vendored
Normal file
@ -0,0 +1,5 @@
|
||||
distributionBase=GRADLE_USER_HOME
|
||||
distributionPath=wrapper/dists
|
||||
distributionUrl=https\://services.gradle.org/distributions/gradle-5.0-bin.zip
|
||||
zipStoreBase=GRADLE_USER_HOME
|
||||
zipStorePath=wrapper/dists
|
||||
172
gradlew
vendored
Executable file
172
gradlew
vendored
Executable file
@ -0,0 +1,172 @@
|
||||
#!/usr/bin/env sh
|
||||
|
||||
##############################################################################
|
||||
##
|
||||
## Gradle start up script for UN*X
|
||||
##
|
||||
##############################################################################
|
||||
|
||||
# Attempt to set APP_HOME
|
||||
# Resolve links: $0 may be a link
|
||||
PRG="$0"
|
||||
# Need this for relative symlinks.
|
||||
while [ -h "$PRG" ] ; do
|
||||
ls=`ls -ld "$PRG"`
|
||||
link=`expr "$ls" : '.*-> \(.*\)$'`
|
||||
if expr "$link" : '/.*' > /dev/null; then
|
||||
PRG="$link"
|
||||
else
|
||||
PRG=`dirname "$PRG"`"/$link"
|
||||
fi
|
||||
done
|
||||
SAVED="`pwd`"
|
||||
cd "`dirname \"$PRG\"`/" >/dev/null
|
||||
APP_HOME="`pwd -P`"
|
||||
cd "$SAVED" >/dev/null
|
||||
|
||||
APP_NAME="Gradle"
|
||||
APP_BASE_NAME=`basename "$0"`
|
||||
|
||||
# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
|
||||
DEFAULT_JVM_OPTS='"-Xmx64m"'
|
||||
|
||||
# Use the maximum available, or set MAX_FD != -1 to use that value.
|
||||
MAX_FD="maximum"
|
||||
|
||||
warn () {
|
||||
echo "$*"
|
||||
}
|
||||
|
||||
die () {
|
||||
echo
|
||||
echo "$*"
|
||||
echo
|
||||
exit 1
|
||||
}
|
||||
|
||||
# OS specific support (must be 'true' or 'false').
|
||||
cygwin=false
|
||||
msys=false
|
||||
darwin=false
|
||||
nonstop=false
|
||||
case "`uname`" in
|
||||
CYGWIN* )
|
||||
cygwin=true
|
||||
;;
|
||||
Darwin* )
|
||||
darwin=true
|
||||
;;
|
||||
MINGW* )
|
||||
msys=true
|
||||
;;
|
||||
NONSTOP* )
|
||||
nonstop=true
|
||||
;;
|
||||
esac
|
||||
|
||||
CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
|
||||
|
||||
# Determine the Java command to use to start the JVM.
|
||||
if [ -n "$JAVA_HOME" ] ; then
|
||||
if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
|
||||
# IBM's JDK on AIX uses strange locations for the executables
|
||||
JAVACMD="$JAVA_HOME/jre/sh/java"
|
||||
else
|
||||
JAVACMD="$JAVA_HOME/bin/java"
|
||||
fi
|
||||
if [ ! -x "$JAVACMD" ] ; then
|
||||
die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
|
||||
|
||||
Please set the JAVA_HOME variable in your environment to match the
|
||||
location of your Java installation."
|
||||
fi
|
||||
else
|
||||
JAVACMD="java"
|
||||
which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
|
||||
|
||||
Please set the JAVA_HOME variable in your environment to match the
|
||||
location of your Java installation."
|
||||
fi
|
||||
|
||||
# Increase the maximum file descriptors if we can.
|
||||
if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then
|
||||
MAX_FD_LIMIT=`ulimit -H -n`
|
||||
if [ $? -eq 0 ] ; then
|
||||
if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then
|
||||
MAX_FD="$MAX_FD_LIMIT"
|
||||
fi
|
||||
ulimit -n $MAX_FD
|
||||
if [ $? -ne 0 ] ; then
|
||||
warn "Could not set maximum file descriptor limit: $MAX_FD"
|
||||
fi
|
||||
else
|
||||
warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT"
|
||||
fi
|
||||
fi
|
||||
|
||||
# For Darwin, add options to specify how the application appears in the dock
|
||||
if $darwin; then
|
||||
GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
|
||||
fi
|
||||
|
||||
# For Cygwin, switch paths to Windows format before running java
|
||||
if $cygwin ; then
|
||||
APP_HOME=`cygpath --path --mixed "$APP_HOME"`
|
||||
CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
|
||||
JAVACMD=`cygpath --unix "$JAVACMD"`
|
||||
|
||||
# We build the pattern for arguments to be converted via cygpath
|
||||
ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`
|
||||
SEP=""
|
||||
for dir in $ROOTDIRSRAW ; do
|
||||
ROOTDIRS="$ROOTDIRS$SEP$dir"
|
||||
SEP="|"
|
||||
done
|
||||
OURCYGPATTERN="(^($ROOTDIRS))"
|
||||
# Add a user-defined pattern to the cygpath arguments
|
||||
if [ "$GRADLE_CYGPATTERN" != "" ] ; then
|
||||
OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)"
|
||||
fi
|
||||
# Now convert the arguments - kludge to limit ourselves to /bin/sh
|
||||
i=0
|
||||
for arg in "$@" ; do
|
||||
CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -`
|
||||
CHECK2=`echo "$arg"|egrep -c "^-"` ### Determine if an option
|
||||
|
||||
if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition
|
||||
eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"`
|
||||
else
|
||||
eval `echo args$i`="\"$arg\""
|
||||
fi
|
||||
i=$((i+1))
|
||||
done
|
||||
case $i in
|
||||
(0) set -- ;;
|
||||
(1) set -- "$args0" ;;
|
||||
(2) set -- "$args0" "$args1" ;;
|
||||
(3) set -- "$args0" "$args1" "$args2" ;;
|
||||
(4) set -- "$args0" "$args1" "$args2" "$args3" ;;
|
||||
(5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
|
||||
(6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
|
||||
(7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
|
||||
(8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
|
||||
(9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
|
||||
esac
|
||||
fi
|
||||
|
||||
# Escape application args
|
||||
save () {
|
||||
for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
|
||||
echo " "
|
||||
}
|
||||
APP_ARGS=$(save "$@")
|
||||
|
||||
# Collect all arguments for the java command, following the shell quoting and substitution rules
|
||||
eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"
|
||||
|
||||
# by default we should be in the correct project dir, but when run from Finder on Mac, the cwd is wrong
|
||||
if [ "$(uname)" = "Darwin" ] && [ "$HOME" = "$PWD" ]; then
|
||||
cd "$(dirname "$0")"
|
||||
fi
|
||||
|
||||
exec "$JAVACMD" "$@"
|
||||
84
gradlew.bat
vendored
Normal file
84
gradlew.bat
vendored
Normal file
@ -0,0 +1,84 @@
|
||||
@if "%DEBUG%" == "" @echo off
|
||||
@rem ##########################################################################
|
||||
@rem
|
||||
@rem Gradle startup script for Windows
|
||||
@rem
|
||||
@rem ##########################################################################
|
||||
|
||||
@rem Set local scope for the variables with windows NT shell
|
||||
if "%OS%"=="Windows_NT" setlocal
|
||||
|
||||
set DIRNAME=%~dp0
|
||||
if "%DIRNAME%" == "" set DIRNAME=.
|
||||
set APP_BASE_NAME=%~n0
|
||||
set APP_HOME=%DIRNAME%
|
||||
|
||||
@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
|
||||
set DEFAULT_JVM_OPTS="-Xmx64m"
|
||||
|
||||
@rem Find java.exe
|
||||
if defined JAVA_HOME goto findJavaFromJavaHome
|
||||
|
||||
set JAVA_EXE=java.exe
|
||||
%JAVA_EXE% -version >NUL 2>&1
|
||||
if "%ERRORLEVEL%" == "0" goto init
|
||||
|
||||
echo.
|
||||
echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
|
||||
echo.
|
||||
echo Please set the JAVA_HOME variable in your environment to match the
|
||||
echo location of your Java installation.
|
||||
|
||||
goto fail
|
||||
|
||||
:findJavaFromJavaHome
|
||||
set JAVA_HOME=%JAVA_HOME:"=%
|
||||
set JAVA_EXE=%JAVA_HOME%/bin/java.exe
|
||||
|
||||
if exist "%JAVA_EXE%" goto init
|
||||
|
||||
echo.
|
||||
echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%
|
||||
echo.
|
||||
echo Please set the JAVA_HOME variable in your environment to match the
|
||||
echo location of your Java installation.
|
||||
|
||||
goto fail
|
||||
|
||||
:init
|
||||
@rem Get command-line arguments, handling Windows variants
|
||||
|
||||
if not "%OS%" == "Windows_NT" goto win9xME_args
|
||||
|
||||
:win9xME_args
|
||||
@rem Slurp the command line arguments.
|
||||
set CMD_LINE_ARGS=
|
||||
set _SKIP=2
|
||||
|
||||
:win9xME_args_slurp
|
||||
if "x%~1" == "x" goto execute
|
||||
|
||||
set CMD_LINE_ARGS=%*
|
||||
|
||||
:execute
|
||||
@rem Setup the command line
|
||||
|
||||
set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar
|
||||
|
||||
@rem Execute Gradle
|
||||
"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %CMD_LINE_ARGS%
|
||||
|
||||
:end
|
||||
@rem End local scope for the variables with windows NT shell
|
||||
if "%ERRORLEVEL%"=="0" goto mainEnd
|
||||
|
||||
:fail
|
||||
rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of
|
||||
rem the _cmd.exe /c_ return code!
|
||||
if not "" == "%GRADLE_EXIT_CONSOLE%" exit 1
|
||||
exit /b 1
|
||||
|
||||
:mainEnd
|
||||
if "%OS%"=="Windows_NT" endlocal
|
||||
|
||||
:omega
|
||||
Loading…
Reference in New Issue
Block a user