```Python hl_lines="1"
async def get_burgers(number: int):
    # Do some asynchronous stuff to create the burgers
    return burgers
```

...en vez de `def`:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

import java.time.Duration;
import java.util.concurrent.Executor;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

/**
 * An object with an operational state, plus asynchronous {@link #startAsync()} and {@link
 * #stopAsync()} lifecycle methods to transition between states. Example services include
 * webservers, RPC servers and timers.
 *
 * <p>The normal lifecycle of a service is:
 *

_2014-05-23_

OkHttp 2 is designed around a new API that is true to HTTP, with classes for
requests, responses, headers, and calls. It uses modern Java patterns like
immutability and chained builders. The API now offers asynchronous callbacks
in addition to synchronous blocking calls.

#### API Changes

 *  **New Request and Response types,** each with their own builder. There's also

			Optional:    true,
			Type:        "on|off",
		},
		config.HelpKV{
			Key:         target.NATSStreamingAsync,
			Description: "[DEPRECATED] set to 'on', to enable asynchronous publish",
			Optional:    true,
			Type:        "on|off",
		},
		config.HelpKV{
			Key:         target.NATSStreamingMaxPubAcksInFlight,

```
cat ${HADOOP_CONF_DIR}/core-site.xml | kv-pairify | grep "mapred"

mapred.maxthreads.generate.mapoutput=2 # Num threads to write map outputs
mapred.maxthreads.partition.closer=0 # Asynchronous map flushers
mapreduce.fileoutputcommitter.algorithm.version=2 # Use the latest committer version
mapreduce.job.reduce.slowstart.completedmaps=0.99 # 99% map, then reduce

```Python hl_lines="1"
async def get_burgers(number: int):
    # Do some asynchronous stuff to create the burgers
    return burgers
```

...`def`를 사용하는 대신:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

 *         .catching(RpcException.class, e -> false, directExecutor());
 * }</pre>
 *
 * <h3>Alternatives</h3>
 *
 * <h4>Frameworks</h4>
 *
 * <p>When chaining together a graph of asynchronous operations, you will often find it easier to
 * use a framework. Frameworks automate the process, often adding features like monitoring,
 * debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>

要使 `await` 工作，它必须位于支持这种异步机制的函数内。因此，只需使用 `async def` 声明它：

```Python hl_lines="1"
async def get_burgers(number: int):
    # Do some asynchronous stuff to create the burgers
    return burgers
```

...而不是 `def`:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

  }

  @Test
  fun networkInterceptorThrowsRuntimeExceptionAsynchronous() {
    interceptorThrowsRuntimeExceptionAsynchronous(true)
  }

  /**
   * When an interceptor throws an unexpected exception, asynchronous calls are canceled. The
   * exception goes to the uncaught exception handler.
   */
  private fun interceptorThrowsRuntimeExceptionAsynchronous(network: Boolean) {
    val boom = RuntimeException("boom!")

  val directory: Path,
  private val appVersion: Int,
  internal val valueCount: Int,
  /** Returns the maximum number of bytes that this cache should use to store its data. */
  maxSize: Long,
  /** Used for asynchronous journal rebuilds. */
  taskRunner: TaskRunner,
) : Closeable, Flushable {
  internal val fileSystem: FileSystem =
    object : ForwardingFileSystem(fileSystem) {
      override fun sink(
        file: Path,