* outgoing HTTP requests.
     *
     * If unset, [no cookies][CookieJar.NO_COOKIES] will be accepted nor provided.
     */
    fun cookieJar(cookieJar: CookieJar) =
      apply {
        this.cookieJar = cookieJar
      }

    /** Sets the response cache to be used to read and write cached responses. */
    fun cache(cache: Cache?) =

import java.net.Socket
import java.net.UnknownServiceException
import okhttp3.Address
import okhttp3.ConnectionSpec
import okhttp3.HttpUrl
import okhttp3.Protocol
import okhttp3.Request
import okhttp3.Response
import okhttp3.Route
import okhttp3.internal.USER_AGENT
import okhttp3.internal.canReuseConnectionFor
import okhttp3.internal.closeQuietly
import okhttp3.internal.concurrent.TaskRunner

    /**
     * Authenticates using the provided context
     *
     * @param context the CIFS context
     * @param challenge the server challenge (may be null for some auth types)
     * @return authentication response data
     * @throws CIFSException if authentication fails
     */
    byte[] authenticate(CIFSContext context, byte[] challenge) throws CIFSException;

    /**
     * Gets the session key after successful authentication

         * @return the normalized text
         */
        @Override
        public String normalize(final String text, final String field, final String... dummy) {
            final AnalyzeAction.Response termResponse = client.admin()
                    .indices()
                    .prepareAnalyze(analyzerSettings.getAnalyzerSettingsIndexName(), text)

    * Si on n'utilisait pas FastAPI mais directement Starlette (ou un outil équivalent comme Sanic, Flask, Responder, etc) il faudrait implémenter la validation des données et la sérialisation par nous-même. Le résultat serait donc le même dans les deux cas mais du travail supplémentaire serait à réaliser avec Starlette, surtout en considérant que la validation...

                        request.setOpenTimeout(r >> 16 & 0xFFFF);
                    }

                    try {
                        th.send(request, response, RequestParam.NO_RETRY);
                        n = response.getDataLength();
                    } catch (final CIFSException e) {
                        throw SmbException.wrap(e);
                    }
                }

var supportedHeadGetReqParams = map[string]string{
	"response-expires":             xhttp.Expires,
	"response-content-type":        xhttp.ContentType,
	"response-cache-control":       xhttp.CacheControl,
	"response-content-encoding":    xhttp.ContentEncoding,
	"response-content-language":    xhttp.ContentLanguage,
	"response-content-disposition": xhttp.ContentDisposition,
}

const (

    }

    /**
     * Processes a single crawl request by executing the HTTP request, handling redirects,
     * transforming the response data, and indexing the document.
     *
     * @param paramMap the data store parameters
     * @param dataMap the data map to be updated with response data
     * @param url the URL to process
     * @param client the crawler client to use for the request

   * Removes a <i>single</i> occurrence of the specified element from this multiset, if present.
   *
   * <p>This method refines {@link Collection#remove} to further specify that it <b>may not</b>
   * throw an exception in response to {@code element} being null or of the wrong type.
   *
   * <p>To both remove the element and obtain the previous count of that element, use {@link
   * #remove(Object, int) remove}{@code (element, 1)} instead.
   *

        }, (queryRequestBuilder, execTime, searchResponse) -> {
            final List<Map<String, String>> sessionIdList = new ArrayList<>();
            searchResponse.ifPresent(response -> {
                final Terms terms = response.getAggregations().get(fessConfig.getIndexFieldSegment());
                for (final Bucket bucket : terms.getBuckets()) {
                    final Map<String, String> map = new HashMap<>(2);