}

	if retries == 5 {
		scannerLogOnceIf(ctx, fmt.Errorf("maximum retry reached to load the data usage cache `%s`", name), "retry-loading-data-usage-cache")
	}

	return nil
}

// Maximum running concurrent saves on server.
var maxConcurrentScannerSaves = make(chan struct{}, 4)

// save the content of the cache to minioMetaBackgroundOpsBucket with the provided name.
// Note that no locking is done when saving.

		return fmt.Errorf("listPathRaw returned %w: opts(%#v)", err, lopts)
	}

	return nil
}

// listAllBuckets lists all buckets from all disks. It also
// returns the occurrence of each buckets in all disks
func listAllBuckets(ctx context.Context, storageDisks []StorageAPI, healBuckets *xsync.MapOf[string, VolInfo], readQuorum int) error {
	g := errgroup.WithNErrs(len(storageDisks))

   * {@code ImmutableList.of(list)} returns an {@code ImmutableList<List<String>>} containing one
   * element (the given list itself).
   *
   * <p>This method is safe to use even when {@code elements} is a synchronized or concurrent
   * collection that is currently being modified by another thread.
   *
   * @throws NullPointerException if {@code elements} contains a null element
   */

*   Added the concurrent service sync flag to the Cloud Controller Manager to allow changing the number of workers. (`--concurrent-service-syncs`) ([#55561](https://github.com/kubernetes/kubernetes/pull/55561),[ @jhorwit2](https://github.com/jhorwit2))

     * returns 0, but if we had a SingletonImmutableSortedSet, this might no
     * longer be the case.)
     *
     * javax.naming.Name and java.util.concurrent.Delayed might work, but
     * they're fairly obscure, we've invented our own interface and class.
     */
    Interface a = new Impl();
    Interface b = new Impl();

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.base.Ascii;
import com.google.errorprone.annotations.concurrent.LazyInit;
import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.io.Reader;
import java.io.Writer;
import java.util.Arrays;
import java.util.Objects;

import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import java.util.regex.Pattern;

import javax.net.ssl.SSLContext;

import org.apache.commons.io.output.DeferredFileOutputStream;
import org.apache.commons.lang3.SystemUtils;
import org.apache.http.Header;

import java.net.ResponseCache
import java.text.DateFormat
import java.text.SimpleDateFormat
import java.util.Date
import java.util.Locale
import java.util.TimeZone
import java.util.concurrent.TimeUnit
import java.util.concurrent.atomic.AtomicReference
import java.util.stream.Stream
import javax.net.ssl.HostnameVerifier
import kotlin.test.assertFailsWith
import mockwebserver3.MockResponse
import mockwebserver3.MockWebServer

labels.advance_search_filetype_pdf=PDF
labels.advance_search_filetype_word=MS Word
labels.advance_search_filetype_excel=MS Excel
labels.advance_search_filetype_powerpoint=MS PowerPoint
labels.advance_search_occt=Occurrence
labels.advance_search_occt_default=N'importe où dans la page
labels.advance_search_occt_allintitle=dans le titre de la page
labels.advance_search_occt_allinurl=dans l'URL de la page

 *  Fix: Immediately update the connection's flow control window instead of waiting for the
    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