shared-compiler/org.jetbrains.kotlinx.jupyter.startup

Package-level declarations

Types

data class KernelArgs(val cfgFile: File, val scriptClasspath: List<File>, val homeDir: File?, val debugPort: Int?, val clientType: String?, val jvmTargetForSnippets: String?, val replCompilerMode: ReplCompilerMode)

KernelConfig

data class KernelConfig(val host: String = "*", val ports: KernelPorts, val transport: String, val signatureScheme: String, val signatureKey: String, val scriptClasspath: List<File> = emptyList(), val homeDir: File?, val debugPort: Int? = null, val clientType: String? = null, val jvmTargetForSnippets: String? = null, val replCompilerMode: ReplCompilerMode = ReplCompilerMode.DEFAULT)

KernelJupyterParams

@Serializable(with = KernelJupyterParamsSerializer::class)

data class KernelJupyterParams(val signatureScheme: String?, val key: String?, val ports: KernelPorts, val transport: String?)

KernelJupyterParamsSerializer

object KernelJupyterParamsSerializer : KSerializer<KernelJupyterParams>

KernelPorts

typealias KernelPorts = Map<JupyterSocketType, Int>

PortsGenerator

class PortsGenerator(portsToTry: () -> Sequence<Int>)

ReplCompilerMode

enum ReplCompilerMode : Enum<ReplCompilerMode>

This is used to represent whether the underlying REPL is running in either K1 or K2 mode.

Properties

DEFAULT

val ReplCompilerMode.Companion.DEFAULT: ReplCompilerMode

DEFAULT_SPRING_SIGNATURE_KEY

const val DEFAULT_SPRING_SIGNATURE_KEY: String

defaultSpringAppPorts

val defaultSpringAppPorts: Map<JupyterSocketType, Int>

KERNEL_SIGNATURE_SCHEME

const val KERNEL_SIGNATURE_SCHEME: String

KERNEL_TRANSPORT_SCHEME

const val KERNEL_TRANSPORT_SCHEME: String

MAIN_CLASS_NAME

const val MAIN_CLASS_NAME: String

Functions

create

fun PortsGenerator.Companion.create(portRangeStart: Int, portRangeEnd: Int): PortsGenerator

createClientKotlinKernelConfig

fun createClientKotlinKernelConfig(host: String, ports: KernelPorts, signatureKey: String, replCompilerMode: ReplCompilerMode): KernelConfig

Creates a configuration for a Kotlin Kernel client.

createKernelPorts

fun createKernelPorts(action: (JupyterSocketType) -> Int): KernelPorts

createKotlinKernelConfig

fun createKotlinKernelConfig(ports: KernelPorts, signatureKey: String, scriptClasspath: List<File> = emptyList(), homeDir: File? = null, debugPort: Int? = null, clientType: String? = null, replCompilerMode: ReplCompilerMode = ReplCompilerMode.DEFAULT): KernelConfig

Creates a configuration for the Kotlin Jupyter kernel.

createRandomKernelPorts

fun createRandomKernelPorts(): Map<JupyterSocketType, Int>

getConfig

fun KernelArgs.getConfig(): KernelConfig

isPortAvailable

fun isPortAvailable(port: Int): Boolean

javaCmdLine

fun KernelConfig.javaCmdLine(javaExecutable: String, tempDirPrefix: String, kernelClasspath: String, extraJavaArguments: Collection<String> = emptyList()): List<String>

randomIntsInRange

fun randomIntsInRange(rangeStart: Int, rangeEnd: Int, limit: Int = rangeEnd - rangeStart): Sequence<Int>