TF_NewStatus(), TF_DeleteStatus);
  std::unique_ptr<TFE_Context, decltype(&TFE_DeleteContext)> context(
      TFE_NewContext(opts.get(), status.get()), TFE_DeleteContext);
  tensorflow::ServerDef server_def = GetServerDef("worker", 3);

  // This server def has the task index set to 0.
  std::string serialized = server_def.SerializeAsString();

  server_def.set_task_index(1);
  std::unique_ptr<tensorflow::GrpcServer> worker_server1;

// volume, path and operation ID.
func (n *nsLockMap) NewNSLock(lockers func() ([]dsync.NetLocker, string), volume string, paths ...string) RWLocker {
	sort.Strings(paths)
	opsID := mustGetUUID()
	if n.isDistErasure {
		drwmutex := dsync.NewDRWMutex(&dsync.Dsync{
			GetLockers: lockers,
			Timeouts:   dsync.DefaultTimeouts,
		}, pathsJoinPrefix(volume, paths...)...)

import com.google.common.annotations.GwtCompatible;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A {@code Multiset} implementation with predictable iteration order. Its iterator orders elements
 * according to when the first occurrence of the element was added. When the multiset contains
 * multiple instances of an element, those instances are consecutive in the iteration order. If all

        }
    ]
}
```

### 3.3 Automatic removal of delete markers with no other versions

When an object has only one version as a delete marker, the latter can be automatically removed after a certain number of days using the following configuration:

```
{
    "Rules": [
        {
            "ID": "Removing all delete markers",
            "Expiration": {
                "ExpiredObjectDeleteMarker": true

    DependencyResolutionResult getDependencyResolutionResult();

    // for each exception
    // - knowing what artifacts are missing
    // - project building exception
    // - invalid project model exception: list of markers
    // - xmlpull parser exception
    List<Throwable> getExceptions();

    MavenExecutionResult addException(Throwable e);

    boolean hasExceptions();

    /**

   * orders its elements according to their {@linkplain Comparable natural ordering}.
   */
  public MonitorBasedPriorityBlockingQueue() {
    q = new PriorityQueue<E>();
  }

  /**
   * Creates a {@code MonitorBasedPriorityBlockingQueue} with the specified initial capacity that
   * orders its elements according to their {@linkplain Comparable natural ordering}.
   *

  };

  tensorflow::mutex execution_mutex_;
  ExecutionState execution_state_ TF_GUARDED_BY(execution_mutex_) =
      ExecutionState::kIdle;
  // Tells the worker thread that there is new work.
  tensorflow::condition_variable start_execute_;
  // The worker thread notifies that work has finished.
  tensorflow::condition_variable finished_execute_;
  // Notifies a StartExecute that the previous Join has finished.

<div class="termy">

```console
$ pip install "hypercorn[trio]"
---> 100%
```

</div>

### Run with Trio

然后你可以传递值`trio`给命令行选项`--worker-class`:

<div class="termy">

```console
$ hypercorn main:app --worker-class trio
```

</div>

这将通过您的应用程序启动 Hypercorn，并使用 Trio 作为后端。

现在您可以在应用程序内部使用 Trio。 或者更好的是，您可以使用 AnyIO，使您的代码与 Trio 和 asyncio 兼容。 🎉

## 部署概念

import java.io.ObjectOutputStream;
import java.util.LinkedHashMap;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A {@code Multiset} implementation with predictable iteration order. Its iterator orders elements
 * according to when the first occurrence of the element was added. When the multiset contains
 * multiple instances of an element, those instances are consecutive in the iteration order. If all

import com.google.common.base.Objects;
import java.io.Serializable;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * An ordering that orders elements by applying an order to the result of a function on those
 * elements.
 */
@GwtCompatible(serializable = true)
@ElementTypesAreNonnullByDefault