assertThat(recordedRequest!!.method).isEqualTo("GET")
    assertThat(recordedRequest.path).isEqualTo(
      "/lookup?ct&dns=AAABAAABAAAAAAAABmdvb2dsZQNjb20AAAEAAQ",
    )
    Thread.sleep(2000)
    server.enqueue(
      dnsResponse(
        "0000818000010003000000000567726170680866616365626f6f6b03636f6d0000010001c00c000500010" +

    }

    override fun writeTo(sink: BufferedSink) {
      try {
        var i = 0
        while (i < contentLength()) {
          sink.write(chunk!!)
          sink.flush()
          Thread.sleep(100)
          i += chunk.size
        }
      } catch (e: IOException) {
        ioe = e
      } catch (e: InterruptedException) {
        throw RuntimeException(e)
      }
    }
  }

  <!-- do_not_remove: published-with-gradle-metadata -->
  <modelVersion>4.0.0</modelVersion>
  <parent>
    <groupId>com.google.guava</groupId>
    <artifactId>guava-parent</artifactId>
    <version>HEAD-jre-SNAPSHOT</version>
  </parent>
  <artifactId>guava</artifactId>
  <packaging>bundle</packaging>
  <name>Guava: Google Core Libraries for Java</name>
  <url>https://github.com/google/guava</url>
  <description>

///

开发 API 时，「路径」是用来分离「关注点」和「资源」的主要手段。

#### 操作

这里的「操作」指的是一种 HTTP「方法」。

下列之一：

* `POST`
* `GET`
* `PUT`
* `DELETE`

...以及更少见的几种：

* `OPTIONS`
* `HEAD`
* `PATCH`
* `TRACE`

在 HTTP 协议中，你可以使用以上的其中一种（或多种）「方法」与每个路径进行通信。

---

在开发 API 时，你通常使用特定的 HTTP 方法去执行特定的行为。

通常使用：

* `POST`：创建数据。
* `GET`：读取数据。
* `PUT`：更新数据。

        return executeGoal;
    }

    /**
     * @return True if the <code>Mojo</code> is thread-safe and can be run safely in parallel
     * @since 3.0-beta-2
     */
    public boolean isThreadSafe() {
        return threadSafe;
    }

    /**
     * @param threadSafe indicates that the mojo is thread-safe and can be run safely in parallel
     * @since 3.0-beta-2
     */

        ImmutableList.of(
            ListTestSuiteBuilder.using(new BytesAsListGenerator()).named("Bytes.asList"),
            ListTestSuiteBuilder.using(new BytesAsListHeadSubListGenerator())
                .named("Bytes.asList, head subList"),
            ListTestSuiteBuilder.using(new BytesAsListTailSubListGenerator())
                .named("Bytes.asList, tail subList"),
            ListTestSuiteBuilder.using(new BytesAsListMiddleSubListGenerator())

        ImmutableList.of(
            ListTestSuiteBuilder.using(new LongsAsListGenerator()).named("Longs.asList"),
            ListTestSuiteBuilder.using(new LongsAsListHeadSubListGenerator())
                .named("Longs.asList, head subList"),
            ListTestSuiteBuilder.using(new LongsAsListTailSubListGenerator())
                .named("Longs.asList, tail subList"),
            ListTestSuiteBuilder.using(new LongsAsListMiddleSubListGenerator())

   * higher value than you need can waste space and time, and a significantly lower value can lead
   * to thread contention. But overestimates and underestimates within an order of magnitude do not
   * usually have much noticeable impact. A value of one permits only one thread to modify the cache
   * at a time, but since read operations and cache loading computations can proceed concurrently,

      isRunning = runningCallsCount() > 0
    }

    // Avoid resubmitting if we can't logically progress
    // particularly because RealCall handles a RejectedExecutionException
    // by executing on the same thread.
    if (executorService.isShutdown) {
      for (i in 0 until executableCalls.size) {
        val asyncCall = executableCalls[i]
        asyncCall.callsPerHost.decrementAndGet()

        this.withLock {

    C1_SVC_CIDR=$(KUBECONFIG="${C1_KUBECONFIG}" kubectl cluster-info dump | sed -n 's/^.*--service-cluster-ip-range=\([^"]*\).*$/\1/p' | head -n 1)
    C2_SVC_CIDR=$(KUBECONFIG="${C2_KUBECONFIG}" kubectl cluster-info dump | sed -n 's/^.*--service-cluster-ip-range=\([^"]*\).*$/\1/p' | head -n 1)
    docker exec "${C1_NODE}" ip route add "${C2_POD_CIDR}" via "${C2_DOCKER_IP}"