import org.gradle.internal.serialize.SerializerRegistry;

public interface ObjectConnectionBuilder {
    /**
     * Creates a transmitter for outgoing messages on the given type. The returned object is thread-safe.
     *
     * <p>Method invocations on the transmitter object are dispatched asynchronously to a corresponding handler in the peer. Method invocations are

  @CheckForNull private transient volatile CacheEntry<K, V> cacheEntry2;

  MapRetrievalCache(Map<K, V> backingMap) {
    super(backingMap);
  }

  @SuppressWarnings("unchecked") // Safe because we only cast if key is found in map.
  @Override
  @CheckForNull
  V get(Object key) {
    checkNotNull(key);
    V value = getIfCached(key);
    if (value != null) {
      return value;
    }

        msgs.add("* as @threadSafe to support parallel building.                  *");
        msgs.add("* While this /may/ work fine, please look for plugin updates    *");
        msgs.add("* and/or request plugins be made thread-safe.                   *");
        msgs.add("* If reporting an issue, report it against the plugin in        *");
        msgs.add("* question, not against maven-core                              *");

import org.gradle.internal.dispatch.DispatchException;
import org.gradle.internal.dispatch.MethodInvocation;

/**
 * <p>An {@code Actor} dispatches method calls to a target object in a thread-safe manner. Methods are called either by
 * calling {@link Dispatch#dispatch(Object)} on the actor, or using the proxy object

  boolean isEmpty() {
    // The casts are safe because of the has*Bound() checks.
    return (hasUpperBound() && tooLow(uncheckedCastNullableTToT(getUpperEndpoint())))
        || (hasLowerBound() && tooHigh(uncheckedCastNullableTToT(getLowerEndpoint())));
  }

  boolean tooLow(@ParametricNullness T t) {
    if (!hasLowerBound()) {
      return false;
    }
    // The cast is safe because of the hasLowerBound() check.

//   Unlike other linked_ptr implementations, in this implementation
//   a linked_ptr object is thread-safe in the sense that:
//     - it's safe to copy linked_ptr objects concurrently,
//     - it's safe to copy *from* a linked_ptr and read its underlying
//       raw pointer (e.g. via get()) concurrently, and
//     - it's safe to write to two linked_ptrs that point to the same
//       shared object concurrently.

whether these uses were recommended or considered safe, or where we recommend
some form of isolation when dealing with untrusted data. As a result, this
document also outlines what issues we consider as TensorFlow security
vulnerabilities.

We recognize issues as vulnerabilities only when they occur in scenarios that we
outline as safe; issues that have a security impact only when TensorFlow is used

          submittingTaskQueue.nextTask = task;
          // requireNonNull(delegate) is safe for reasons similar to requireNonNull(sequencer).
          submittingTaskQueue.nextExecutor = requireNonNull(delegate);
          delegate = null;
        } else {
          // requireNonNull(delegate) is safe for reasons similar to requireNonNull(sequencer).
          Executor localDelegate = requireNonNull(delegate);

// The inliner would erroneously scan the caller function's body for
// reassignments *before* substituting the inlined function call body,
// which could cause false positives in deciding when it's safe to
// transitively inline indirect function calls.

package main

func main() {
	bug1()
	bug2(fail)
}

func bug1() {
	fn := fail
	fn = pass
	fn()
}

func bug2(fn func()) {

 * invoke methods, they invoke methods on the {@code ForwardingSet}.
 *
 * <p>The {@code standard} methods are not guaranteed to be thread-safe, even when all of the
 * methods that they depend on are thread-safe.
 *
 * @author Kevin Bourrillion
 * @author Louis Wasserman
 * @since 2.0
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault