get() = systemProperty(TEST_DISTRIBUTION_ENABLED).orNull?.toBoolean() == true


// Controls the test distribution partition size. The test classes smaller than this value will be merged into a "partition"
val Project.maxTestDistributionPartitionSecond: Long?
    get() = systemProperty(TEST_DISTRIBUTION_PARTITION_SIZE).orNull?.toLong()


val Project.maxParallelForks: Int

 */
fun reorderForHappyEyeballs(addresses: List<InetAddress>): List<InetAddress> {
  if (addresses.size < 2) {
    return addresses
  }

  val (ipv6, ipv4) = addresses.partition { it is Inet6Address }

  return if (ipv6.isEmpty() || ipv4.isEmpty()) {
    addresses
  } else {
    interleave(ipv6, ipv4)
  }

message RollingUpdateStatefulSetStrategy {
  // Partition indicates the ordinal at which the StatefulSet should be partitioned
  // for updates. During a rolling update, all pods from ordinal Replicas-1 to
  // Partition are updated. All pods from ordinal Partition-1 to 0 remain untouched.
  // This is helpful in being able to do a canary based deployment. The default value is 0.
  optional int32 partition = 1;

message RollingUpdateStatefulSetStrategy {
  // Partition indicates the ordinal at which the StatefulSet should be partitioned
  // for updates. During a rolling update, all pods from ordinal Replicas-1 to
  // Partition are updated. All pods from ordinal Partition-1 to 0 remain untouched.
  // This is helpful in being able to do a canary based deployment. The default value is 0.

message RollingUpdateStatefulSetStrategy {
  // Partition indicates the ordinal at which the StatefulSet should be partitioned
  // for updates. During a rolling update, all pods from ordinal Replicas-1 to
  // Partition are updated. All pods from ordinal Partition-1 to 0 remain untouched.
  // This is helpful in being able to do a canary based deployment. The default value is 0.

            stage.flameGraphs.map { createFlameGraphs(model, stage, it) }

        val (topLevelCoverage, allCoverage) = stage.functionalTests.partition { it.testType == TestType.soak }
        val topLevelFunctionalTests = topLevelCoverage
            .map { FunctionalTest(model, it.asConfigurationId(model), it.asName(), it.asName(), it, stage = stage) }

        val targetModules = computeTargetModules(mainFirFile.llFirModuleData.ktModule)
        val (targetFiles, dependencyFiles) = filesToCompile.partition { firResolveSession.getModule(it) in targetModules }
        require(targetFiles.isNotEmpty())

        val jvmIrDeserializer = JvmIrDeserializerImpl()

```
cat ${HADOOP_CONF_DIR}/core-site.xml | kv-pairify | grep "mapred"

mapred.maxthreads.generate.mapoutput=2 # Num threads to write map outputs
mapred.maxthreads.partition.closer=0 # Asynchronous map flushers
mapreduce.fileoutputcommitter.algorithm.version=2 # Use the latest committer version
mapreduce.job.reduce.slowstart.completedmaps=0.99 # 99% map, then reduce

  // +optional
  optional string fsType = 2;

  // partition is the partition in the volume that you want to mount.
  // If omitted, the default is to mount by volume name.
  // Examples: For volume /dev/sda1, you specify the partition as "1".
  // Similarly, the volume partition for /dev/sda is "0" (or you can leave the property empty).
  // +optional
  optional int32 partition = 3;

        if (option == ShortenStrategy.DO_NOT_SHORTEN) return null

        val nameToImport = shorteningContext.convertToImportableName(calledSymbol)

        val (matchedCallables, otherCallables) = availableCallables.partition { it.symbol.callableId == calledSymbol.callableId }

        val importKindFromOption = ImportKind.fromShortenOption(option)