PYTHON_VERSIONS=("python3.9" "python3.10" "python3.11" "python3.12")
for v in "${PYTHON_VERSIONS[@]}"; do
  ln -s "/usr/local/include/${v}" "${TARGET}/usr/include/aarch64-linux-gnu/${v}"

	initialStackSnapShot := NewLeakDetect()
	return func() {
		initialStackSnapShot.DetectLeak(t)
	}
}

// list of functions to be ignored from the stack trace.
// Leak detection is done when tests are run, should ignore the tests related functions,
// and other runtime functions while identifying leaks.
var ignoredStackFns = []string{
	"",
	// Below are the stacks ignored by the upstream leaktest code.

protect against two drive failure whereas in MinIO erasure code you can lose as many as half of drives and still the data remains safe. Further, MinIO's erasure code is at the object level and can heal one object at a time. For RAID, healing can be done only at the volume level which translates into high downtime. As MinIO encodes each object individually, it can heal objects incrementally. Storage servers once deployed should not require drive replacement or healing for the lifetime of the server....

  }

  /**
   * Helper method to grow the character buffer as needed, this only happens once in a while so it's
   * ok if it's in a method call. If the index passed in is 0 then no copying will be done.
   */
  private static char[] growBuffer(char[] dest, int index, int size) {
    if (size < 0) { // overflow - should be OutOfMemoryError but GWT/j2cl don't support it

///


Help with translations is VERY MUCH appreciated! And it can't be done without the help from the community. 🌎 🚀

Here are the steps to help with translations.

#### Tips and guidelines

Then your API will (let's imagine):

* Send the invoice to some customer of the external developer.
* Collect the money.
* Send a notification back to the API user (the external developer).
    * This will be done by sending a POST request (from *your API*) to some *external API* provided by that external developer (this is the "callback").

## The normal **FastAPI** app { #the-normal-fastapi-app }

	resourceMetricsMapMu.Unlock()
	metricsTimer := time.NewTimer(resourceMetricsCollectionInterval)
	defer metricsTimer.Stop()

	collectLocalResourceMetrics()

	for {
		select {
		case <-GlobalContext.Done():
			return
		case <-metricsTimer.C:
			collectLocalResourceMetrics()

			// Reset the timer for next cycle.
			metricsTimer.Reset(resourceMetricsCollectionInterval)
		}
	}
}

        super.processCleanupCrawling(objs);
        if (objs.length > 1 && objs[1] instanceof final UrlQueue<?> urlQueue) {
            ComponentUtil.getCrawlerStatsHelper().done(urlQueue);
        }
    }

    @Override
    protected void processProcessChildUrlByException(final Object... objs) {
        super.processProcessChildUrlByException(objs);

        while (true) {
          val socket = serverSocket!!.accept()
          connectionCount.incrementAndGet()
          service(socket)
        }
      } catch (e: SocketException) {
        logger.info("$threadName done accepting connections: ${e.message}")
      } catch (e: IOException) {
        logger.log(Level.WARNING, "$threadName failed unexpectedly", e)
      } finally {
        for (socket in openSockets) {

		eventArgsList := make([]eventArgs, 0, len(fanOutEntries))
		for {
			var objInfos []ObjectInfo
			var errs []error

			var done bool
			if len(fanOutEntries) < concurrentSize {
				objInfos, errs = fanOutPutObject(ctx, bucket, objectAPI, fanOutEntries, buf.Bytes()[:n], fanOutOpts)
				done = true
			} else {
				objInfos, errs = fanOutPutObject(ctx, bucket, objectAPI, fanOutEntries[:concurrentSize], buf.Bytes()[:n], fanOutOpts)