if (currentPart == this) {
          currentPart = null
        }
      }

      override fun read(
        sink: Buffer,
        byteCount: Long,
      ): Long {
        require(byteCount >= 0L) { "byteCount < 0: $byteCount" }
        check(currentPart == this) { "closed" }

        return source.timeout().intersectWith(timeout) {

  exit 1
  ;;
esac

mkdir -p "${TARGET}"

# Download glibc's shared and development libraries based on the value of the
# `VERSION` parameter.
# Note: 'Templatizing' this and the other conditional branches would require
# defining several variables (version, os, path) making it difficult to maintain
# and extend for future modifications.
case "${VERSION}" in
devtoolset-7)
  # Download binary glibc 2.12 shared library release.

        } catch (final Exception e) {
            return false;
        }
    }

    @Override
    public void close() {
        // GCS Storage client doesn't require explicit close
        // but we can try to close it if needed
        try {
            storage.close();
        } catch (final Exception e) {
            if (logger.isDebugEnabled()) {

some connectivity failures. In this case, the `connectFailed()` event is not terminal and not followed by `callFailed()`. Event listeners will receive multiple events of the same type when retries are attempted.

A single HTTP call may require follow-up requests to be made to handle authentication challenges, redirects, and HTTP-layer timeouts. In such cases multiple connections, requests, and responses may be attempted. Follow-ups are another reason a single call may trigger multiple events...

---

Common examples of CPU bound operations are things that require complex math processing.

For example:

* **Audio** or **image processing**.
* **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time.

They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

 *
 * This class would integrate with the DiSNI library to provide
 * high-performance RDMA operations over InfiniBand/RoCE networks.
 *
 * Note: This is a skeleton implementation. A real implementation would
 * require proper DiSNI integration with actual RDMA hardware.
 */
public class DisniRdmaConnection extends RdmaConnection {

    private static final Logger log = LoggerFactory.getLogger(DisniRdmaConnection.class);

            }

            orchestrator.executeStrategies(context, pomMap);

            // Verify strategies were called (order verification would require more complex mocking)
            for (UpgradeStrategy strategy : mockStrategies) {
                verify(strategy).apply(Mockito.eq(context), Mockito.any());
            }
        }
    }

    @Nested

    if (flushHeaders) {
      connection.flush()
    }
  }

  fun enqueueTrailers(trailers: Headers) {
    withLock {
      check(!sink.finished) { "already finished" }
      require(trailers.size != 0) { "trailers.size() == 0" }
      this.sink.trailers = trailers
    }
  }

  fun readTimeout(): Timeout = readTimeout

  fun writeTimeout(): Timeout = writeTimeout

  /**

   * node(s), consider using {@link #forTree(SuccessorsFunction)} instead.
   *
   * <p><b>Performance notes</b>
   *
   * <ul>
   *   <li>Traversals require <i>O(n)</i> time (where <i>n</i> is the number of nodes reachable from
   *       the start node), assuming that the node objects have <i>O(1)</i> {@code equals()} and
   *       {@code hashCode()} implementations. (See the <a