## Feature implementation

Release managers will continue to have a final say in what gets merged or not, unless directed by the TOC. See the next
section if the implementation is done, but a bug is being addressed.

* Any code that changes feature functionality must be done within 2 weeks of the release branch cutting. Even then it is
 at the discretion of the release managers if PRs will be accepted and merged into the release branch.

# use the wheel's TensorFlow installation instead of the one made available
# through bazel. This must be done in a different root directory, //bazel_pip/...,
# because "import tensorflow" run from the root directory would instead import
# the folder instead of the venv package.
# 
# Pass --config=pip to run the same suite of tests. If you want to run just one
# test for investigation, you'll need --config=pip_venv instead, and then you

### TLS with SNI Extension

**Only one process** in the server can be listening on a specific **port** in a specific **IP address**. There could be other processes listening on other ports in the same IP address, but only one for each combination of IP address and port.

TLS (HTTPS) uses the specific port `443` by default. So that's the port we would need.

			"-m", "udp",
			"--dport", "53",
			"-j", "CT",
			"--zone", "1",
		)
		// Upstream --> Proxy return packets
		iptablesBuilder.AppendRule(
			iptableslog.UndefinedCommand, ChainInpodPrerouting, iptablesconstants.RAW,
			"-p", "udp",
			"-m", "mark", "!",
			"--mark", inpodMark,
			"-m", "udp",
			"--sport", "53",
			"-j", "CT",
			"--zone", "1",
		)
	}

		depth++
		if depth == unwrapErrsDepth {
			// If we have reached enough depth we
			// do not further recurse down, this
			// is done to avoid any unnecessary
			// latencies this might bring.
			break
		}
	}
	if uerr == nil {
		leafErr = err
	}
	return leafErr
}

// One log message per error.
func (l *logOnceType) logOnceIf(ctx context.Context, subsystem string, err error, id string, errKind ...interface{}) {

# use the wheel's TensorFlow installation instead of the one made available
# through bazel. This must be done in a different root directory, //bazel_pip/...,
# because "import tensorflow" run from the root directory would instead import
# the folder instead of the venv package.
# 
# Pass --config=pip to run the same suite of tests. If you want to run just one
# test for investigation, you'll need --config=pip_venv instead, and then you

		// current stack snapshot matches the initial one, no leaks, return.
		if len(leaked) == 0 {
			return
		}
		// wait a test again will deadline.
		if UTCNow().Before(deadline) {
			time.Sleep(leakDetectPauseTimeMs * time.Millisecond)
			continue
		}
		// after the deadline time report all the difference in the latest snapshot compared with the initial one.
		for _, g := range leaked {

      # it, and print that list for debugging. Not really clear if this is
      # helpful since the only examples I've seen are enormous.
      bazel query "rdeps(kind(py_test, $(cat $BATS_TEST_TMPDIR/deps)), $dep, 1)"
    done < $BATS_TEST_TMPDIR/missing_deps
    exit 1
  fi
}

# The Python package is not allowed to depend on any CUDA packages.
@test "Pip package doesn't depend on CUDA" {
  bazel cquery \

   *
   * <p>Duplicate elements are considered equal. For example, the list [1, 1] will have only one
   * permutation, instead of two. This is why the elements have to implement {@link Comparable}.
   *
   * <p>An empty iterable has only one permutation, which is an empty list.
   *
   * <p>This method is equivalent to {@code Collections2.orderedPermutations(list,
   * Ordering.natural())}.

   */
  private val tcpConnectsInFlight = CopyOnWriteArrayList<Plan>()

  /**
   * Results are posted here as they occur. The find job is done when either one plan completes
   * successfully or all plans fail.
   */
  private val connectResults = taskRunner.backend.decorate(LinkedBlockingDeque<ConnectResult>())

  override fun find(): RealConnection {