writer.write(endMessage)
			} else {
				for payload.Len() > 0 {
					copiedLen := copy(writer.payloadBuffer[writer.payloadBufferIndex:], payload.Bytes())
					writer.payloadBufferIndex += copiedLen
					payload.Next(copiedLen)

					// If buffer is filled, flush it now!
					freeSpace := bufLength - writer.payloadBufferIndex
					if freeSpace == 0 {
						if !writer.flushRecords() {
							quitFlag = true
							break

}

function cidr_to_ips() {
    CIDR="$1"
    # cidr_to_ips returns a list of single IPs from a CIDR. We skip 1000 (since they are likely to be allocated
    # already to other services), then pick the next 100.
    python3 - <<EOF
from ipaddress import ip_network, IPv6Network;
from itertools import islice;

net = ip_network('$CIDR')
net_bits = 128 if type(net) == IPv6Network else 32;

			ChecksumSHA256: objPart.Checksums["SHA256"],
		})
		count--
		if count == 0 {
			break
		}
	}

	if len(objParts) > len(result.Parts) {
		result.IsTruncated = true
		// Make sure to fill next part number marker if IsTruncated is true for subsequent listing.
		result.NextPartNumberMarker = result.Parts[len(result.Parts)-1].PartNumber
	}

	return result, nil
}

	case kesPresent && staticKeyPresent:
		return false, errors.New("kms: configuration for MinIO KES and static KMS key is present")
	}

	// Next, we check that all required configuration for the concrete
	// KMS is present.
	// For example, the MinIO KMS requires an endpoint or a list of
	// endpoints and authentication credentials. However, a path to

	collectLocalResourceMetrics()

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

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

// minioResourceCollector is the Collector for resource metrics
type minioResourceCollector struct {

                @Override
                public @Nullable Void call() throws Exception {
                  barrier.await();
                  Integer first = graph.nodes().iterator().next();
                  for (Integer node : graph.nodes()) {
                    Set<Integer> unused = graph.successors(node);
                  }
                  /*

   * ...
   * synchronized (table) {  // Synchronizing on table, not row!
   *   Iterator<Entry<C, V>> i = row.entrySet().iterator(); // Must be in synchronized block
   *   while (i.hasNext()) {
   *     foo(i.next());
   *   }
   * }
   * }</pre>
   *
   * <p>Failure to follow this advice may result in non-deterministic behavior.
   *
   * <p>The returned table will be serializable if the specified table is serializable.

* `deprecated`

Validations specific for strings:

* `min_length`
* `max_length`
* `pattern`

In these examples you saw how to declare validations for `str` values.

Next, it 🤖 takes the first task to finish (let's say, our "slow-file" 📝) and continues whatever it had to do with it.

aiming to keep the semantics simple, understandable, and useful.
This section gives a general overview of the approach and should suffice for most programmers.
The memory model is specified more formally in the next section.
</p>

<p>
A data race is defined as
a write to a memory location happening concurrently with another read or write to that same location,