* values are not supported.
   *
   * <p>Lookups by row key are often faster than lookups by column key, because the data is stored
   * in a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still
   * runs quickly, since the row key is provided. However, {@code column(columnKey).size()} takes
   * longer, since an iteration across all row keys occurs.
   *

        if ( this.transportContext.getConfig().getNetbiosSoTimeout() != 0 ) {
            this.closeTimeout = Math.max(this.transportContext.getConfig().getNetbiosSoTimeout(), timeout);
        }
        // If socket is still good, the new closeTimeout will
        // be ignored; see tryClose comment.
        if ( this.socket == null ) {
            this.socket = new DatagramSocket(this.lport, this.laddr);

      tail = node.previous;
    }
    if (node.previousSibling == null && node.nextSibling == null) {
      /*
       * requireNonNull is safe as long as we call removeNode only for nodes that are still in the
       * Multimap. This should be the case (except in case of concurrent modification, when all bets
       * are off).
       */
      KeyList<K, V> keyList = requireNonNull(keyToKeyList.remove(node.key));

     *
     * T0 at 0 seconds
     * T1 at 1.05 seconds
     * T2 at 2 seconds
     * T3 at 3 seconds
     *
     * Due to the slight delay of T1, T2 would have to sleep till 2.05 seconds, and T3 would also
     * have to sleep till 3.05 seconds.
     */
    return create(permitsPerSecond, SleepingStopwatch.createFromSystemTimer());
  }

  @VisibleForTesting

  - CSIPersistentVolume
  - GCERegionalPersistentDisk
  - KubeletPluginsWatcher
  - VolumeScheduling
- kubeadm
  - The DynamicKubeletConfig feature gate is deprecated. The functionality is still accessible by using the kubeadm alpha kubelet enable-dynamic command.

      taskFaker.sleep(100.µs)
      log += "red:finishing@${taskFaker.nanoTime}"
    }
    assertThat(taskFaker.executeCallCount).isEqualTo(1)

    // Enqueueing the blue task doesn't start a thread because the red one is still starting.
    blueQueue.execute("blue task") {
      log += "blue:starting@${taskFaker.nanoTime}"
      taskFaker.sleep(100.µs)
      log += "blue:finishing@${taskFaker.nanoTime}"
    }

    // should be able to enter the monitor, and then we set the guard to satisfied for the benefit
    // of any remaining waiting threads.

    tearDownLatch.countDown();
    assertTrue(
        "Monitor still occupied in tearDown()",
        monitor.enter(UNEXPECTED_HANG_DELAY_MILLIS, TimeUnit.MILLISECONDS));
    try {
      guard.setSatisfied(true);
    } finally {
      monitor.leave();
    }
  }

            // -1
            //  or QUALIFIERS.size and then resort to lexical ordering. Most comparisons are decided by the first
            // character,
            // so this is still fast. If more characters are needed then it requires a lexical sort anyway.
            return i == -1 ? (QUALIFIERS.size() + "-" + qualifier) : String.valueOf(i);
        }

        @Override

example, you can build the pip package with debugging information by running:

```bash
bazel build --config=dbg //tensorflow/tools/pip_package:build_pip_package
```

TensorFlow kernels and TensorFlow's dependencies are still not built with
debugging information with `--config=dbg`, as issues occur on Linux if
there is too much debug info (see [this GitHub
issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If

We can exploit this to make a more efficient protocol, which is critical to achieve our resource footprint goals.

For example, configuring Istio mTLS in Envoy takes roughly 50 lines of JSON (it is in Protobuf, of course, but still relevant).
Because Ztunnel can have Istio semantics baked in, we do not need to encode all this information on the wire.