settings = ParseTagSetting(str, ",")
	)

	// optimize match english letters and midline
	// The following code is basically called in for.
	// In order to avoid the performance problems caused by repeated compilation of regular expressions,
	// it only needs to be done once outside, so optimization is done here.
	if idx != -1 && regEnLetterAndMidline.MatchString(str[0:idx]) {
		name = str[0:idx]
	} else {

  /**
   * @param forObsoleteRfc2965 true to include a leading `.` on the domain pattern. This is
   *     necessary for `example.com` to match `www.example.com` under RFC 2965. This extra dot is
   *     ignored by more recent specifications.
   */
  internal fun toString(forObsoleteRfc2965: Boolean): String {
    return buildString {
      append(name)
      append('=')
      append(value)

      if (persistent) {

   * ImmutableList.copyOf} and use that list instead.
   */
  public List<Integer> asList() {
    /*
     * Typically we cache this kind of thing, but much repeated use of this view is a performance
     * anti-pattern anyway. If we cache, then everyone pays a price in memory footprint even if
     * they never use this method.
     */
    return new AsList(this);
  }

        assertThat(prob).isWithin(epsilon).of(0.50d);
      }
    }
  }

  /**
   * Test for 2-bit characteristics. A characteristic is a delta in the input which is repeated in
   * the output. For example, if f() is a block cipher and c is a characteristic, then f(x^c) =
   * f(x)^c with greater than expected probability. The test for funneling is merely a test for
   * 1-bit characteristics.

 * its comparator (which might be the element that was just added). This is different from
 * conventional bounded queues, which either block or reject new elements when full.
 *
 * <p>This implementation is based on the <a
 * href="http://portal.acm.org/citation.cfm?id=6621">min-max heap</a> developed by Atkinson, et al.

As Python advances, **newer versions** come with improved support for these type annotations and in many cases you won't even need to import and use the `typing` module to declare the type annotations.

If you can choose a more recent version of Python for your project, you will be able to take advantage of that extra simplicity.

In all the docs there are examples compatible with each version of Python (when there's a difference).

    dummyValue = new Object();
    dummyValueRef = map.newValueReference(dummy, dummyValue, 1);
    dummy.setValueReference(dummyValueRef);
    table.set(index, dummy);
    // returns the most recent entry
    assertSame(dummyValue, segment.get(key, hash));
    assertTrue(segment.containsKey(key, hash));
    assertTrue(segment.containsValue(value));
    assertTrue(segment.containsValue(dummyValue));

    dummyValue = new Object();
    dummyValueRef = map.newValueReference(dummy, dummyValue, 1);
    dummy.setValueReference(dummyValueRef);
    table.set(index, dummy);
    // returns the most recent entry
    assertSame(dummyValue, segment.get(key, hash));
    assertTrue(segment.containsKey(key, hash));
    assertTrue(segment.containsValue(value));
    assertTrue(segment.containsValue(dummyValue));

labels.system_info_env_title=Env Properties
labels.system_info_prop_title=System Properties
labels.system_info_fess_prop_title=Fess Properties
labels.system_info_bug_report_title=Properties for Bug Report
labels.system_info_system_properties_does_not_exist=system.properties does not exist. Default values are applied.
labels.file_auth_configuration=File Authentication
labels.file_auth_list_hostname=Hostname

   * ImmutableList.copyOf} and use that list instead.
   */
  public List<Double> asList() {
    /*
     * Typically we cache this kind of thing, but much repeated use of this view is a performance
     * anti-pattern anyway. If we cache, then everyone pays a price in memory footprint even if
     * they never use this method.
     */
    return new AsList(this);
  }