"istio.io/istio/tools/istio-iptables/pkg/dependencies"
)

type mockNetNs struct {
	path string
}

func (ns *mockNetNs) Do(toRun func(ns.NetNS) error) error {
	return toRun(ns)
}

func (*mockNetNs) Set() error {
	return nil
}

func (ns *mockNetNs) Path() string {
	return ns.path
}

func (*mockNetNs) Fd() uintptr {
	return 0
}

func (*mockNetNs) Close() error {
	return nil
}

   * @param wasUncontended false if CAS failed before call
   */
  final void retryUpdate(long x, @CheckForNull int[] hc, boolean wasUncontended) {
    int h;
    if (hc == null) {
      threadHashCode.set(hc = new int[1]); // Initialize randomly
      int r = rng.nextInt(); // Avoid zero to allow xorShift rehash
      h = hc[0] = (r == 0) ? 1 : r;
    } else h = hc[0];
    boolean collide = false; // True if last slot nonempty

 * </ul>
 *
 * <p>There are deviations from this if there are failures or if {@link Service#stopAsync} is called
 * before the {@link Service} reaches the {@linkplain State#RUNNING RUNNING} state. The set of legal
 * transitions form a <a href="http://en.wikipedia.org/wiki/Directed_acyclic_graph">DAG</a>,
 * therefore every method of the listener will be called at most once. N.B. The {@link State#FAILED}

    * A "token" is just a string with some content that we can use later to verify this user.
    * Normally, a token is set to expire after some time.
        * So, the user will have to log in again at some point later.
        * And if the token is stolen, the risk is less. It is not like a permanent key that will work forever (in most of the cases).

should be used with caution when working with untrusted models.

### Saved graphs and checkpoints

When loading untrusted serialized computation graphs (in form of a `GraphDef`,
`SavedModel`, or equivalent on-disk format), the set of computation primitives
available to TensorFlow is powerful enough that you should assume that the
TensorFlow process effectively executes arbitrary code.

  cat <<EOF
There was a path found connecting //tensorflow/tools/pip_package:build_pip_package
to a banned CUDA dependency when '--define framework_shared_object=false' is set.
This means that a CUDA target was probably included via an is_static condition,
used when targeting platforms like Windows where we build statically instead
of dynamically. Here's the output from bazel query:
EOF

	if err != nil {
		return nil, crypto.ObjectKey{}, crypto.ErrInvalidCustomerKey
	}

	return reader, objectEncryptionKey, nil
}

// set new encryption metadata from http request headers for SSE-C and generated key from KMS in the case of
// SSE-S3
func setEncryptionMetadata(r *http.Request, bucket, object string, metadata map[string]string) (err error) {
	var (

	for pool := range globalLocalSetDrives {
		globalLocalSetDrives[pool] = make([][]StorageAPI, endpointServerPools[pool].SetCount)
		for set := range globalLocalSetDrives[pool] {
			globalLocalSetDrives[pool][set] = make([]StorageAPI, endpointServerPools[pool].DrivesPerSet)
		}
	}
	for _, serverPool := range endpointServerPools {
		for _, endpoint := range serverPool.Endpoints {

    // ===================================================================================
    //                                                                     Aggregation Set
    //                                                                           =========

    public void filter(String name, EsAbstractConditionQuery.OperatorCall<BsGroupCQ> queryLambda,

    val query: String? = httpUrl.query()
    val querySize: Int = httpUrl.querySize()
    val queryParameter: String? = httpUrl.queryParameter("")
    val queryParameterNames: Set<String> = httpUrl.queryParameterNames()
    val encodedFragment: String? = httpUrl.encodedFragment()
    val fragment: String? = httpUrl.fragment()
    val getFromUrl: HttpUrl? = HttpUrl.get(URL(""))