import javax.annotation.CheckForNull;

/**
 * {@link Error} variant of {@link java.util.concurrent.ExecutionException}. As with {@code
 * ExecutionException}, the error's {@linkplain #getCause() cause} comes from a failed task,
 * possibly run in another thread. That cause should itself be an {@code Error}; if not, use {@code
 * ExecutionException} or {@link UncheckedExecutionException}. This allows the client code to

///

## Hypercorn ⏮️ 🎻

💃 &amp; **FastAPI** ⚓️ 🔛 <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, ❔ ⚒ 👫 🔗 ⏮️ 👯‍♂️ 🐍 🐩 🗃 <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">✳</a> &amp; <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">🎻</a>.

          public void run() {
            runChosenTest();
          }
        };
    final FutureTask<@Nullable Void> task = new FutureTask<>(runChosenTest, null);
    startThread(
        new Runnable() {
          @Override
          public void run() {
            task.run();
          }
        });
    awaitUninterruptibly(doingCallLatch);
    long hangDelayMillis =

      TF_Status* status) const;

  void AsyncWait(TFE_Context* context, TF_Status* status) const;

  // Device strings for component devices that only include a
  // worker/task/replica if any of those differ across components. Useful for
  // printing debug messages.
  std::vector<std::string> SummarizeDeviceNames() const;

 private:

The build session state also includes "cross session" state that is shared with any "nested" sessions that need to be created.
This only happens when the `GradleBuild` task is used. You can mostly ignore the distinction between "cross session" and "build session" state.

### Build tree state

"Build tree" is another name for the build definition.

  tensorflow::ServerDef server_def_1 =
      ReplaceTaskInServerDef(server_def_0, /*task_index=*/0);

  // These server defs have task index set to 0.
  string serialized_server_def_0 = server_def_0.SerializeAsString();
  string serialized_server_def_1 = server_def_1.SerializeAsString();

  // Create two worker tasks.
  server_def_0.set_task_index(1);
  std::unique_ptr<tensorflow::GrpcServer> worker_server1;

## [Calls](https://square.github.io/okhttp/4.x/okhttp/okhttp3/-call/)

mapreduce.reduce.shuffle.merge.percent=0.9 # Minimum % merges in RAM
mapreduce.reduce.speculative=false # Disable speculation for reducing
mapreduce.task.io.sort.factor=999 # Threshold before writing to disk
mapreduce.task.sort.spill.percent=0.9 # Minimum % before spilling to disk
```

   * wait for 100 seconds, and /then/ start the actual task. Why wait without doing anything? A much
   * better approach is to /allow/ the request right away (as if it was an acquire(1) request
   * instead), and postpone /subsequent/ requests as needed. In this version, we allow starting the
   * task immediately, and postpone by 100 seconds future requests, thus we allow for work to get

Starlette et **FastAPI** sont basés sur
<a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, qui les rend
compatibles avec <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a>, de la bibliothèque standard Python et
<a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>.