":return e+"er";default:case"M":case"Q":case"DDD":case"d":case"w":case"W":return e}},week:{dow:0,doy:3},meridiemParse:/rati|sokallim|donparam|sanje/,meridiemHour:function(e,a){return 12===e&&(e=0),"rati"===a?e<4?e:e+12:"sokallim"===a?e:"donparam"===a?12<e?e:e+12:"sanje"===a?e+12:void 0},meridiem:function(e,a,t){return e<4?"rati":e<12?"sokallim":e<16?"donparam":e<20?"sanje":"rati"}});var Ln={1:"\u0ae7",2:"\u0ae8",3:"\u0ae9",4:"\u0aea",5:"\u0aeb",6:"\u0aec",7:"\u0aed",8:"\u0aee",9:"\u0aef",0:"\u0a...

   * we change the rate.
   */
  public void testWeNeverGetABurstMoreThanOneSec() {
    RateLimiter limiter = RateLimiter.create(1.0, stopwatch);
    int[] rates = {1000, 1, 10, 1000000, 10, 1};
    for (int rate : rates) {
      int oneSecWorthOfWork = rate;
      stopwatch.sleepMillis(rate * 1000);
      limiter.setRate(rate);

   * we change the rate.
   */
  public void testWeNeverGetABurstMoreThanOneSec() {
    RateLimiter limiter = RateLimiter.create(1.0, stopwatch);
    int[] rates = {1000, 1, 10, 1000000, 10, 1};
    for (int rate : rates) {
      int oneSecWorthOfWork = rate;
      stopwatch.sleepMillis(rate * 1000);
      limiter.setRate(rate);

errors.crud_failed_to_create_instance = Impossibile creare nuovi dati.
errors.crud_failed_to_create_crud_table = Impossibile creare nuovi dati. ({0})
errors.crud_failed_to_update_crud_table=Impossibile aggiornare i dati. ({0})
errors.crud_failed_to_delete_crud_table=Impossibile eliminare i dati. ({0})
errors.crud_could_not_find_crud_table = Dati {0} non trovati.
errors.could_not_find_backup_index=Impossibile trovare l'indice di backup.

  int maximumSize;

  @Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

  // 1 means uniform likelihood of keys; higher means some keys are more popular
  // tweak this to control hit rate
  @Param("2.5")
  double concentration;

  Random random = new Random();

  LoadingCache<Integer, Integer> cache;

  int max;

  static AtomicLong requests = new AtomicLong(0);

  int maximumSize;

  @Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

  // 1 means uniform likelihood of keys; higher means some keys are more popular
  // tweak this to control hit rate
  @Param("2.5")
  double concentration;

  Random random = new Random();

  LoadingCache<Integer, Integer> cache;

  int max;

  static AtomicLong requests = new AtomicLong(0);

        return new VerticalLinearTransformation(x1);
      } else {
        return withSlope((y2 - y1) / (x2 - x1));
      }
    }

    /**
     * Finish building an instance with the given slope, i.e. the rate of change of {@code y} with
     * respect to {@code x}. The slope must not be {@code NaN}. It may be infinite, in which case
     * the transformation is vertical. (If it is zero, the transformation is horizontal.)
     */

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  }

  /** Returns the number of times {@link Cache} lookup methods have returned a cached value. */
  public long hitCount() {
    return hitCount;
  }

  /**
   * Returns the ratio of cache requests which were hits. This is defined as {@code hitCount /
   * requestCount}, or {@code 1.0} when {@code requestCount == 0}. Note that {@code hitRate +
   * missRate =~ 1.0}.
   */
  public double hitRate() {

        a full-time Guava team member. [Feedback](https://stackoverflow.com/a/4543114) from our
        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

  - type: textarea