// International, 1989) or from the Cephes Mathematical Library, a
// commercial product. In either event, it is copyrighted by the author.
// What you see here may be used freely but it comes with no support or
// guarantee.
//
//   The two known misprints in the book are repaired here in the
// source listings for the gamma function and the incomplete beta
// integral.
//
//   Stephen L. Moshier
//   ******@****.***
//

   *
   * This class isn't an arbitrary ForwardingImmutableSet because we need to
   * know that calling {@code clone()} during deserialization will return an
   * object that no one else has a reference to, allowing us to guarantee
   * immutability. Hence, we support only {@link EnumSet}.
   */
  private final transient EnumSet<E> delegate;

  private ImmutableEnumSet(EnumSet<E> delegate) {
    this.delegate = delegate;
  }

// International, 1989) or from the Cephes Mathematical Library, a
// commercial product. In either event, it is copyrighted by the author.
// What you see here may be used freely but it comes with no support or
// guarantee.
//
//   The two known misprints in the book are repaired here in the
// source listings for the gamma function and the incomplete beta
// integral.
//
//   Stephen L. Moshier
//   ******@****.***

		if operr != nil {
			return
		}
		switch addr := addr.(type) {
		case *TCPAddr:
			// There's no guarantee that IP-level socket
			// options work well with dual stack sockets.
			// A simple solution would be to take a look
			// at the bound address to the raw connection
			// and to classify the address family of the

// explicitly passed as arguments).
// The SavedModelAPI only supports loading tf.functions annotated with input
// signatures so that we ensure that there is a 1:1 mapping between tf.function
// -> FunctionDef, and have a guarantee that all inputs are tensors.
// (https://github.com/tensorflow/tensorflow/blob/2b96f3662bd776e277f86997659e61046b56c315/tensorflow/python/eager/def_function.py#L1167-L1171),
class TFSavedModelAPI : public SavedModelAPI {
 public:

 * connections should expect repetition of stream IDs.
 *
 * Return true to request cancellation of a pushed stream.  Note that this does not guarantee
 * future frames won't arrive on the stream ID.
 */
interface PushObserver {
  /**
   * Describes the request that the server intends to push a response for.
   *

	fn := func(s uintptr) {
		_, operr = syscall.GetsockoptInt(int(s), syscall.SOL_SOCKET, syscall.SO_REUSEADDR)
		if operr != nil {
			return
		}
		switch addr := addr.(type) {
		case *TCPAddr:
			// There's no guarantee that IP-level socket
			// options work well with dual stack sockets.
			// A simple solution would be to take a look
			// at the bound address to the raw connection
			// and to classify the address family of the

                "Gradle does not know how file '" + relativePath + "' was created (output property '" + overlappingOutputs.getPropertyName() + "'). Task output caching requires exclusive access to output paths to guarantee correctness (i.e. multiple tasks are not allowed to produce output in the same location)."));
        }

        Optional<String> reasonNotToTrackState = task.getReasonNotToTrackState();

 */
public abstract class ProducerGuard<T> {

    /**
     * Creates a {@link ProducerGuard} which guarantees that different keys will block on different locks,
     * ensuring maximum concurrency. This comes at the cost of allocating locks for each key, leading to
     * relatively high memory pressure. If the above guarantee is not necessary, consider using a {@link #striped()}
     * guard instead.
     */

 *
 * Excluding a particular transitive dependency does not guarantee that it does not show up
 * in the dependencies of a given configuration.
 * For example, some other dependency, which does not have any exclude rules,
 * might pull in exactly the same transitive dependency.
 * To guarantee that the transitive dependency is excluded from the entire configuration