implementation(libs.bouncycastle.bcpkix)
  implementation(libs.bouncycastle.bctls)
  api(libs.conscrypt.openjdk)
  api(libs.openjsse)

  api(rootProject.libs.junit.jupiter.engine)

  // This runs Corretto on macOS (aarch64) and Linux (x86_64). We don't test Corretto on other
  // operating systems or architectures.
  api(variantOf(libs.amazonCorretto) {
    classifier(
      when {
        OperatingSystem.current().isMacOsX -> "osx-aarch_64"

        }
    }

    @JvmName("associateGroovy")
    fun Project.associate(groovyCompile: TaskProvider<GroovyCompile>) {
        if(!(OperatingSystem.current().isWindows && System.getProperty("os.arch") == "aarch64")) {
            groovyCompile.configure {
                val javaToolchains = project.the<JavaToolchainService>()
                // Groovy does not support the release flag. We must compile with the same

# force all tests to run locally on the Aarch64 host.
test:rbe_cross_compile_base --strategy=TestRunner=local --build_tests_only
test:rbe_cross_compile_base --verbose_failures=true --local_test_jobs=HOST_CPUS --test_output=errors

# START LINUX AARCH64 CROSS-COMPILE CONFIGS
common:cross_compile_linux_arm64 --config=cross_compile_base

# Set the target CPU to Aarch64

    val buildSpecs: List<FlameGraphGenerationBuildSpec>
        get() =
            scenarios.flatMap { scenario ->
                Os.values().flatMap { os ->
                    val arch = if (os == Os.MACOS) Arch.AARCH64 else Arch.AMD64
                    if (os == Os.WINDOWS) {
                        listOf("jprofiler")
                    } else {
                        listOf("async-profiler", "async-profiler-heap")

object AdHocPerformanceScenarioMacOS : AdHocPerformanceScenario(Os.MACOS, Arch.AMD64)

	default:
		return 0, errors.New("invalid arrangement in ARM64 register list")
	}
	return (int64(curQ) & 1 << 30) | (int64(curSize&3) << 10), nil
}

// ARM64RegisterListOffset generates offset encoding according to AArch64 specification.
func ARM64RegisterListOffset(firstReg, regCnt int, arrangement int64) (int64, error) {
	offset := int64(firstReg)
	switch regCnt {
	case 1:
		offset |= 0x7 << 12
	case 2:
		offset |= 0xa << 12

  *AMD64:CYGWIN* | *AMD64:MINGW*) distributionPlatform=windows-amd64 ;;
  :Darwin*x86_64) distributionPlatform=darwin-amd64 ;;
  :Darwin*arm64) distributionPlatform=darwin-aarch64 ;;
  :Linux*x86_64*) distributionPlatform=linux-amd64 ;;
  *)
    echo "Cannot detect native platform for mvnd on $(uname)-$(uname -m), use pure java version" >&2
    distributionPlatform=linux-amd64
    ;;
  esac

    *   **aarch64 CPUs:** Experimental performance optimizations from
        [Compute Library for the Arm® Architecture (ACL)](https://github.com/ARM-software/ComputeLibrary)
        are available through oneDNN in the default Linux aarch64 package (`pip
        install tensorflow`).
        *   The optimizations are disabled by default.

* Fixes validation of VolumeAttachment API objects created with inline volume sources. ([#80945](https://github.com/kubernetes/kubernetes/pull/80945), [@tedyu](https://github.com/tedyu))
* Fix kubelet errors in AArch64 with huge page sizes smaller than 1MiB ([#78495](https://github.com/kubernetes/kubernetes/pull/78495), [@odinuge](https://github.com/odinuge))

* Use arm32v7|arm64v8 images instead of the deprecated armhf|aarch64 image organizations ([#50602](https://github.com/kubernetes/kubernetes/pull/50602), [@dixudx](https://github.com/dixudx))