// This signals that the block is removed, and should not be inadvertently
  // reinserted into the cache in UpdateLRU.
  entry->second->timestamp = 0;
  lru_list_.erase(entry->second->lru_iterator);
  lra_list_.erase(entry->second->lra_iterator);
  cache_size_ -= entry->second->data.capacity();
  block_map_.erase(entry);
}

  //   * increase no more than 4 pods per 60 seconds
  //   * double the number of pods per 60 seconds
  // No stabilization is used.
  // +optional
  optional HPAScalingRules scaleUp = 1;

  // scaleDown is scaling policy for scaling Down.
  // If not set, the default value is to allow to scale down to minReplicas pods, with a
  // 300 second stabilization window (i.e., the highest recommendation for

    blockingCallable.waitForStart();

    // Give the second task a chance to (incorrectly) start up while the first task is running.
    assertThat(future2.isDone()).isFalse();

    // Stop the first task. The second task should then run.
    blockingCallable.stop();
    executor.shutdown();
    assertThat(executor.awaitTermination(10, TimeUnit.SECONDS)).isTrue();
    assertThat(getDone(future2)).isFalse();
  }

    blockingCallable.waitForStart();

    // Give the second task a chance to (incorrectly) start up while the first task is running.
    assertThat(future2.isDone()).isFalse();

    // Stop the first task. The second task should then run.
    blockingCallable.stop();
    executor.shutdown();
    assertThat(executor.awaitTermination(10, TimeUnit.SECONDS)).isTrue();
    assertThat(getDone(future2)).isFalse();
  }

  //   * increase no more than 4 pods per 60 seconds
  //   * double the number of pods per 60 seconds
  // No stabilization is used.
  // +optional
  optional HPAScalingRules scaleUp = 1;

  // scaleDown is scaling policy for scaling Down.
  // If not set, the default value is to allow to scale down to minReplicas pods, with a
  // 300 second stabilization window (i.e., the highest recommendation for

          "format": "time_series",
          "hide": false,
          "intervalFactor": 1,

	test1Want2[BucketOptions{Name: "bucket", ReplicationARN: "arn"}] = Details{
		LimitInBytesPerSecond:            1024 * 1024,
		CurrentBandwidthInBytesPerSecond: (1024 * 1024) / start.Add(2*time.Second).Sub(start.Add(1*time.Second)).Seconds(),
	}

	test2Want := make(map[BucketOptions]Details)

  // Reading at offset file_size + 4 will read the second block (since the read
  // at file_size + 4 = 28 will be aligned to an offset of 16) but will return
  // OutOfRange because the offset is past the end of the 24-byte file.
  Status status = ReadCache(&cache, "", file_size + 4, 4, &out);
  EXPECT_EQ(status.code(), error::OUT_OF_RANGE);
  EXPECT_TRUE(second_block);
  // Reading the second full block will return 8 bytes, from a cache hit.

      return;
    }
    long timeoutSeconds = timeoutSeconds();
    long deadline = System.nanoTime() + SECONDS.toNanos(timeoutSeconds);
    do {
      System.runFinalization();
      if (future.isDone()) {
        return;
      }
      System.gc();
      try {
        future.get(1L, SECONDS);
        return;
      } catch (CancellationException | ExecutionException ok) {
        return;

		{0, "another_update_url", ""},
		{time.Hour, "", ""},
		{0 * time.Second, "my_download_url", "now"},
		{1 * time.Second, "my_download_url", "1 second before the latest release"},
		{37 * time.Second, "my_download_url", "37 seconds before the latest release"},
		{60 * time.Second, "my_download_url", "1 minute before the latest release"},
		{61 * time.Second, "my_download_url", "1 minute before the latest release"},

		// Testcase index 10