bool((must, should, mustNot, filter) -> {
            filteredLambda.callback(must, filter);
        }, opLambda);
    }

    public void not(OperatorCall<SearchLogCQ> notLambda) {
        not(notLambda, null);
    }

    public void not(final OperatorCall<SearchLogCQ> notLambda, final ConditionOptionCall<BoolQueryBuilder> opLambda) {
        bool((must, should, mustNot, filter) -> notLambda.callback(mustNot), opLambda);
    }

                "fess_user.role", //
                "fess_user.user", //
                "configsync", //
        };
        final String[] crawlerIndices = { ".crawler.data", //
                ".crawler.filter", //
                ".crawler.queue", //
        };
        final SearchEngineClient client = ComponentUtil.getSearchEngineClient();
        for (final String index : configIndices) {

// capacity-aware scheduling with CSIDriverSpec.StorageCapacity. The scheduler
// compares the MaximumVolumeSize against the requested size of pending volumes
// to filter out unsuitable nodes. If MaximumVolumeSize is unset, it falls back
// to a comparison against the less precise Capacity. If that is also unset,
// the scheduler assumes that capacity is insufficient and tries some other
// node.

	}, {
		header:  &Header{Uname: "0123456789abcdef0123456789abcdefx"},
		paxHdrs: map[string]string{paxUname: "0123456789abcdef0123456789abcdefx"},
		formats: FormatPAX,
	}, {
		header:  &Header{Name: "foobar"},
		formats: FormatUSTAR | FormatPAX | FormatGNU,
	}, {
		header:  &Header{Name: strings.Repeat("a", nameSize)},
		formats: FormatUSTAR | FormatPAX | FormatGNU,
	}, {

    receiving stream to process it.

    This change may increase OkHttp's memory use for applications that make many concurrent HTTP
    calls and that can receive data faster than they can process it. Previously, OkHttp limited
    HTTP/2 to 16 MiB of unacknowledged data per connection. With this fix there is a limit of 16 MiB
    of unacknowledged data per stream and no per-connection limit.

import org.codelibs.fess.es.log.cbean.ca.SearchLogCA;
import org.codelibs.fess.es.log.cbean.cq.SearchLogCQ;
import org.codelibs.fess.es.log.cbean.cq.bs.BsSearchLogCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.DateHistogramAggregationBuilder;

type stsAPIHandlers struct{}

// registerSTSRouter - registers AWS STS compatible APIs.
func registerSTSRouter(router *mux.Router) {
	// Initialize STS.
	sts := &stsAPIHandlers{}

	// STS Router
	stsRouter := router.NewRoute().PathPrefix(SlashSeparator).Subrouter()

	// Assume roles with no JWT, handles AssumeRole.

        R invokerRequest = context.invokerRequest;
        HashSet<String> sys = new HashSet<>(invokerRequest.systemProperties().keySet());
        invokerRequest.userProperties().entrySet().stream()
                .filter(k -> !sys.contains(k.getKey()))
                .forEach(k -> System.setProperty(k.getKey(), k.getValue()));
        System.setProperty(
                Constants.MAVEN_HOME, invokerRequest.installationDirectory().toString());

 *  **Okio dependency added.** OkHttp now depends on
    [Okio](https://github.com/square/okio), an I/O library that makes it easier
    to access, store and process data. Using this library internally makes OkHttp
    faster while consuming less memory. You can write a `RequestBody` as an Okio
    `BufferedSink` and a `ResponseBody` as an Okio `BufferedSource`. Standard
    `InputStream` and `OutputStream` access is also available.

      Collection<E> collection = (Collection<E>) iterable;
      if (collection.size() <= 2L * k) {
        // In this case, just dumping the collection to an array and sorting is
        // faster than using the implementation for Iterator, which is
        // specialized for k much smaller than n.

        @SuppressWarnings("unchecked") // c only contains E's and doesn't escape