* @throws NullPointerException if any of the provided keys is null
   * @throws IllegalArgumentException if {@code rowKeys} or {@code columnKeys} contains duplicates
   *     or if exactly one of {@code rowKeys} or {@code columnKeys} is empty.
   */
  public static <R, C, V> ArrayTable<R, C, V> create(
      Iterable<? extends R> rowKeys, Iterable<? extends C> columnKeys) {

            svr = this.baddr; // bit of a hack but saves a lookup
        }
        name.srcHashCode = svr != null ? svr.hashCode() : 0;
        addr = getCachedAddress(name);

        /*
         * This is almost exactly like InetAddress.java. See the
         * comments there for a description of how the LOOKUP_TABLE prevents
         * redundant queries from going out on the wire.
         */

       *
       * My impression is that an AtomicReferenceFieldUpdater in a static field is similarly fast to
       * Unsafe on modern JVMs (if perhaps not quite as fast as VarHandle?). However, I'm not sure
       * exactly what we've benchmarked, and we certainly haven't benchmarked as far back as JDK 8.
       * (We also haven't benchmarked under Android. We continue to use UnsafeAtomicHelper there so

   * @throws NullPointerException if any of the provided keys is null
   * @throws IllegalArgumentException if {@code rowKeys} or {@code columnKeys} contains duplicates
   *     or if exactly one of {@code rowKeys} or {@code columnKeys} is empty.
   */
  public static <R, C, V> ArrayTable<R, C, V> create(
      Iterable<? extends R> rowKeys, Iterable<? extends C> columnKeys) {

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* **Pakete installieren**
* Paket**abhängigkeiten und Versionen** für Ihr Projekt verwalten

}

// IsErrIgnored returns whether given error is ignored or not.
func IsErrIgnored(err error, ignoredErrs ...error) bool {
	return IsErr(err, ignoredErrs...)
}

// IsErr returns whether given error is exact error.
func IsErr(err error, errs ...error) bool {
	for _, exactErr := range errs {
		if errors.Is(err, exactErr) {
			return true
		}
	}
	return false
}

					bucket,
					encodeDirObject(entry.name),
					ObjectOptions{
						DeletePrefix:       true, // use prefix delete to delete all versions at once.
						DeletePrefixObject: true, // use prefix delete on exact object (this is an optimization to avoid fan-out calls)
						NoAuditLog:         true,
					},
				)
				stopFn(0, err)
				auditLogRebalance(ctx, "Rebalance:DeleteObject", bucket, entry.name, "", err)

C,GAAF,MAAaqB,EACNC,EAAMoB,kBChJf,IAEMtB,EAAW,YAGXC,EAAqBlE,UAAE6C,GAAF,OAErBoD,EAAoB,SASpBC,EAA8B,0BAI9BC,EAAiB,6BAEjBC,EAAkB,OAMlBC,aACJ,SAAAA,EAAY9G,GACV2D,KAAKkB,SAAW7E,EAChB2D,KAAKoD,0BAA2B,E,yBASlCC,SAAA,WACE,IAAIC,GAAqB,EACrBC,GAAiB,EACfnC,EAActE,UAAEkD,KAAKkB,UAAUU,QA1BX,2BA0B0C,GAEpE,GAAIR,EAAa,CACf,IAAMoC,EAAQxD,KAAKkB,SAASxE,cAAcuG,GAE1C,GAAIO,EAAO,CACT,GAAmB,UAAfA,EAAMC,KACR,GAAID,EAAME,SAAW1D,KAAKkB,SAASyC,UAAUC,SAASb,GACpDO,GAAqB,MAChB,CACL,IAAMO,EAAgBzC,EAAY1E,cAhCtB,WAkCRmH,GACF/...

		switch {
		case len(entities.UserMappings) != 1:
			c.Fatalf("Expected to find exactly one user mapping")
		case entities.UserMappings[0].User != testCase.expectedOutDN:
			c.Fatalf("Expected user DN `%s`, found `%s`", testCase.expectedOutDN, entities.UserMappings[0].User)
		case len(entities.UserMappings[0].Policies) != 1:
			c.Fatalf("Expected exactly one policy attached to user")
		case entities.UserMappings[0].Policies[0] != policy:

   * syntax</a>. (Unlike here, there is no risk of overload ambiguity, since the {@code ArrayList}
   * constructors very wisely did not accept varargs.)
   *
   * @param initialArraySize the exact size of the initial backing array for the returned array list
   *     ({@code ArrayList} documentation calls this value the "capacity")