// available in the repository.
    val runRequireString =
      REQUIRED_BUNDLES.joinToString(separator = ",") {
        "osgi.identity;filter:='(osgi.identity=$it)'"
      }

    val bndEditModel =
      BndEditModel(workspace).apply {
        // Temporary project to satisfy bnd API.
        project = Project(workspace, workspaceDir.toFile())
      }

,function(){var b=a(this).val(),c="undefined"==typeof d.parent?a(this).parent():a(d.parent),e=c.find(".strength-meter"),f=a.formUtils.validators.validate_strength.calculatePasswordStrength(b),g={background:"pink",color:"#FF0000",fontWeight:"bold",border:"red solid 1px",borderWidth:"0px 0px 4px",display:"inline-block",fontSize:d.fontSize,padding:d.padding},h=d.bad;0===e.length&&(e=a("<span></span>"),e.addClass("strength-meter").appendTo(c)),b?e.show():e.hide(),1===f?h=d.weak:2===f?(g.background="...

modification follow.

TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION

0. This License applies to any program or other work which contains a
notice placed by the copyright holder saying it may be distributed under
the terms of this General Public License. The "Program", below, refers
to any such program or work, and a "work based on the Program" means

            all_valid = False
          if ver < 35:
            print('WARNING: XLA does not support CUDA compute capabilities '
                  'lower than sm_35. Disable XLA when running on older GPUs.')
      else:
        ver = float(m.group(0))
        if ver < 3.0:
          print('ERROR: TensorFlow only supports CUDA compute capabilities 3.0 '

        }
        if (Constants.NTLM.equals(scheme)) {
            final Properties props = new Properties();
            getWebConfig().getConfigParameterMap(ConfigName.CONFIG).entrySet().stream()
                    .filter(e -> e.getKey().startsWith(Config.JCIFS_PREFIX)).forEach(e -> {
                        props.setProperty(e.getKey(), e.getValue());
                    });
            return new NTLMScheme(new JcifsEngine(props));
        }

                checkGetMethod(Collections.emptyMap(), getAvailableEndpointSuffix() + "/").body().jsonPath().get("response.plugins");
        final Map<String, Object> targetMap =
                available.stream().filter(map -> !map.get("name").toString().startsWith("fess-")).toList().get(0);
        final Artifact target = getArtifactFromMap(targetMap);

        // Install
        {

    private final String resourceName;

    final ClassLoader loader;

    static ResourceInfo of(File file, String resourceName, ClassLoader loader) {
      if (resourceName.endsWith(CLASS_FILE_NAME_EXTENSION)) {
        return new ClassInfo(file, resourceName, loader);
      } else {
        return new ResourceInfo(file, resourceName, loader);
      }
    }

        if (states != null) {
            final long now = ComponentUtil.getSystemHelper().getCurrentTimeAsLong();
            states.entrySet().stream().filter(e -> (now - e.getValue().getExpiration()) / 1000L > getStateTtl()).map(Map.Entry::getKey)
                    .collect(Collectors.toList()).forEach(s -> {
                        if (logger.isDebugEnabled()) {

   */

  /** The number of occurrences of each element. */
  private final transient ConcurrentMap<E, AtomicInteger> countMap;

  // This constant allows the deserialization code to set a final field. This holder class
  // makes sure it is not initialized unless an instance is deserialized.
  private static class FieldSettersHolder {
    static final FieldSetter<? super ConcurrentHashMultiset<?>> COUNT_MAP_FIELD_SETTER =

        SearchResponse response = getClient().get(c -> c.prepareSearch(index).setScroll(new TimeValue(scrollTimeout))
                .setQuery(QueryBuilders.boolQuery().filter(QueryBuilders.termQuery(SESSION_ID, sessionId))).setSize(scrollSize).execute());
        String scrollId = response.getScrollId();
        try {
            while (scrollId != null) {