All objects accepted by the Project.file method may be used with both options. Headers project.files('header1.h', 'header2.h') Options to be passed to compiler and linker by cinterop tool.ĬompilerOpts 'Options for native stubs compilation' Package to place the Kotlin API generated. The default path is src/main/c_interop/.def Dependency on a published Kotlin/Native library. Specify custom entry point for executables so all the DSL methods available in SourceDirectorySet can be called here. Plugin uses Gradle's source directory sets here, To run tests, execute the standard lifecycle check task: Included in this list the test running tasks are also created. The plugin builds a test executable for all the targets specified for the test component. assembleAllWasm32).īasic lifecycle tasks like assemble, build, and clean are also available. Empty if the component is built only for one target.Īlso the plugin creates a number of aggregate tasks allowing you to build all the binaries for a build type (e.g.ĪssembleAllDebug) or all the binaries for a particular target (e.g. - target the component is built for, e.g.Empty if the component has only one output kind. The name contains the following parts (some of them may be empty): The tasks have the following naming convention: compileKotlinNativeįor example compileDebugKlibraryMacos_圆4KotlinNative, compileTestDebugKotlinNative. The plugin creates a compilation task for each combination of the target, output kind, and build type. Of a final binary (executable, static lib etc) and affect all libraries used to build it. Note that Kotlin/Native libraries have only debug variant because optimizations are preformed only during compilation KLIBRARY - a Kotlin/Native library (*.klib) Īlso each native binary is built in two variants (build types): debug (debuggable, not optimized) and release (not debuggable, optimized).The plugin supports producing binaries of the following kinds: Now let’s see how to use the Klib library in Python to explore your data.// Compile the component into an executable and a Kotlin/Native library.Īll constants used here are available inside a component configuration script block. If you’ve never used it before, you can easily install it using the pip command: Hope you now understand what the Klib library in Python is and what functionality it can provide you when exploring a dataset. In the section below, I’ll show you a tutorial on the Klib library in Python to explore your data. ![]() It helps you in exploring your data in just a few lines of code. Sometimes it takes a long time to explore your dataset, this is where the Klib library in Python comes in. ![]() But to get to this point, you need to explore your data to understand the type of data you are using.
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