// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");
// and then incremented that counter for various values of label:
// streamz->GetCell("label-value")->IncrementBy(1);
//
// The test code can then read and test the value of that counter:
//
// auto* reader = TFE_MonitoringNewCounterReader("name");
// test();
// int64_t value = TFE_MonitoringReadCounter1(reader, "label-value");

      totalLoadTime += i;
    }
    for (int i = 0; i < 41; i++) {
      counter2.recordMisses(1);
    }
    for (int i = 0; i < 43; i++) {
      counter2.recordEviction();
    }

    counter1.incrementBy(counter2);
    assertThat(counter1.snapshot()).isEqualTo(new CacheStats(38, 60, 44, 54, totalLoadTime, 66));
  }

    private static long negativeToMaxValue(long value) {
      return (value >= 0) ? value : Long.MAX_VALUE;
    }

    /** Increments all counters by the values in {@code other}. */
    public void incrementBy(StatsCounter other) {
      CacheStats otherStats = other.snapshot();
      hitCount.add(otherStats.hitCount());
      missCount.add(otherStats.missCount());
      loadSuccessCount.add(otherStats.loadSuccessCount());

    private static long negativeToMaxValue(long value) {
      return (value >= 0) ? value : Long.MAX_VALUE;
    }

    /** Increments all counters by the values in {@code other}. */
    public void incrementBy(StatsCounter other) {
      CacheStats otherStats = other.snapshot();
      hitCount.add(otherStats.hitCount());
      missCount.add(otherStats.missCount());
      loadSuccessCount.add(otherStats.loadSuccessCount());