throttle.Limiter = rate.NewLimiter(rate.Limit(float64(limitBytes)), int(limitBytes))
	m.bucketsThrottle[BucketOptions{Name: bucket, ReplicationARN: arn}] = throttle
}

// IsThrottled returns true if a bucket has bandwidth throttling enabled.
func (m *Monitor) IsThrottled(bucket, arn string) bool {
	m.tlock.RLock()
	defer m.tlock.RUnlock()
	_, ok := m.bucketsThrottle[BucketOptions{Name: bucket, ReplicationARN: arn}]
	return ok

        }
    }

    @Test
    public void test_roundtrip_parsing() {
        // Test that parse(quoteEscape(x)) works correctly for simple values
        // Note: The implementation has a quirk where strings with escaped quotes don't get unquoted
        String[] simpleValues = { "simple", "", "no quotes or commas" };

        for (String original : simpleValues) {

    // Behold the weirdness!
    assertFalse(domain.publicSuffix().isPublicSuffix());
  }

  public void testPublicSuffixMultipleUnders() {
    // PSL has both *.uk and *.sch.uk; the latter should win.
    // See https://github.com/google/guava/issues/1176

    InternetDomainName domain = InternetDomainName.from("www.essex.sch.uk");
    assertTrue(domain.hasPublicSuffix());

the Program, it is Recipient's responsibility to acquire that license before
distributing the Program.

d) Each Contributor represents that to its knowledge it has sufficient copyright
rights in its Contribution, if any, to grant the copyright license set forth
in this Agreement.

   3. REQUIREMENTS

A Contributor may choose to distribute the Program in object code form under

                return lastModified;
            }
        }

        return responseData.getLastModified();
    }

    /**
     * Check if the data map has a title.
     * @param dataMap The data map.
     * @return true if the data map has a title.
     */
    protected boolean hasTitle(final Map<String, Object> dataMap) {
        final Object titleObj = dataMap.get(fessConfig.getIndexFieldTitle());

                this.createContexts = null;
            }
        }

        // Set oplock level
        setRequestedOplockLevel(oplockLevel);
    }

    /**
     * Check if this request has lease contexts
     * @return true if lease contexts are present
     */
    public boolean hasLeaseContext() {
        if (this.createContexts != null) {
            for (CreateContextRequest ctx : this.createContexts) {

            && Objects.equals(getValue(), other.getValue());
      }
      return false;
    }

    @Override
    public int hashCode() {
      return Objects.hash(getRowKey(), getColumnKey(), getValue());
    }

    @Override
    public String toString() {
      return "(" + getRowKey() + "," + getColumnKey() + ")=" + getValue();
    }
  }

  /**

      raising an error and quitting.

  Returns:
    [String] The value of var_name after querying for input.

  Raises:
    UserInputError: if a query has been attempted n_ask_attempts times without
      success, assume that the user has made a scripting error, and will
      continue to provide invalid input. Raise the error to avoid infinitely
      looping.
  """
  default = environ_cp.get(var_name) or var_default

                        && Objects.equals(lifecycleBindingsInjector, that.lifecycleBindingsInjector);
            }

            @Override
            public int hashCode() {
                return Objects.hash(
                        requestType,
                        locationTracking,
                        recursive,
                        source,
                        profiles,

Hier simulieren wir den langsamen *Startup*, das Laden des Modells, indem wir die (Fake-)Modellfunktion vor dem `yield` in das <abbr title="Dictionary – Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">Dictionary</abbr> mit Modellen für maschinelles Lernen einfügen. Dieser Code wird ausgeführt, **bevor** die Anwendung **beginnt, Requests entgegenzunehmen**, während des *Startups*.