* value can result in multiple misses, all returning the results of a single cache load
   * operation.
   */
  public long missCount() {
    return missCount;
  }

  /**
   * Returns the ratio of cache requests which were misses. This is defined as {@code missCount /

  /**
   * Closed addressing tends to perform well even with high load factors. Being conservative here
   * ensures that the table is still likely to be relatively sparse (hence it misses fast) while
   * saving space.
   */
  @VisibleForTesting static final double MAX_LOAD_FACTOR = 1.2;

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.

      hits.add(allConstants[allConstants.length - 1].name());
    }

    List<String> misses = new ArrayList<>();
    for (int i = 0; i < 256 - hits.size(); ++i) {
      misses.add("INVALID");
    }

    List<String> sampleDataList = new ArrayList<>();
    sampleDataList.addAll(hits);
    sampleDataList.addAll(misses);
    Collections.shuffle(sampleDataList);

      frameHeader(
        streamId = 0,
        length = settings.size() * 6,
        type = TYPE_SETTINGS,
        flags = FLAG_NONE,
      )
      for (i in 0 until Settings.COUNT) {
        if (!settings.isSet(i)) continue
        sink.writeShort(i)
        sink.writeInt(settings[i])
      }
      sink.flush()
    }
  }

  /**

## Version 4.2.1

_2019-10-02_

 *  Fix: In 4.1.0 we introduced a performance regression that prevented connections from being
    pooled in certain situations. We have good test coverage for connection pooling but we missed
    this because it only occurs if you have proxy configured and you share a connection pool among
    multiple `OkHttpClient` instances.

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