SortedSet<E> set = delegate.create(allEntries.toArray());

      return createSubSet(set, firstExclusive, lastExclusive);
    }

    /** Calls the smallest subSet overload that filters out the extreme values. */
    SortedSet<E> createSubSet(SortedSet<E> set, E firstExclusive, E lastExclusive) {
      if (from == Bound.NO_BOUND && to == Bound.EXCLUSIVE) {
        return set.headSet(lastExclusive);

                    .resources(map(build.getResources(), r -> alignToBaseDirectory(r, basedir)))
                    .testResources(map(build.getTestResources(), r -> alignToBaseDirectory(r, basedir)))
                    .filters(map(build.getFilters(), s -> alignToBaseDirectory(s, basedir)))
                    .outputDirectory(alignToBaseDirectory(build.getOutputDirectory(), basedir))

 * but if it claims that an element is <i>not</i> contained in it, then this is definitely true.
 *
 * <p>If you are unfamiliar with Bloom filters, this nice <a
 * href="http://llimllib.github.io/bloomfilter-tutorial/">tutorial</a> may help you understand how
 * they work.
 *
 * <p>The false positive probability ({@code FPP}) of a Bloom filter is defined as the probability

    * Pydantic ermöglicht auch die Darstellung als „ISO 8601 Zeitdifferenz-Kodierung“, <a href="https://docs.pydantic.dev/1.10/usage/exporting_models/#json_encoders" class="external-link" target="_blank">Weitere Informationen finden Sie in der Dokumentation</a>.
* `frozenset`:
    * Wird in Requests und Responses wie ein `set` behandelt:
        * Bei Requests wird eine Liste gelesen, Duplikate entfernt und in ein `set` umgewandelt.

## Mehr Details

	// Sleep always or based on incoming S3 requests.
	IdleMode int32 // 0 => on, 1 => off

	// Alert upon this many excess object versions
	ExcessVersions int64 // 100

	// Alert upon this many excess sub-folders per folder in an erasure set.
	ExcessFolders int64 // 50000

	// MaxWait is maximum wait time between operations
	MaxWait time.Duration
	// Cycle is the time.Duration between each scanner cycles
	Cycle time.Duration
}

///

Das Einzige, was die von `GzipRequest.get_route_handler` zurückgegebene Funktion anders macht, ist die Konvertierung von `Request` in ein `GzipRequest`.

Dabei kümmert sich unser `GzipRequest` um die Dekomprimierung der Daten (falls erforderlich), bevor diese an unsere *Pfadoperationen* weitergegeben werden.

		if _, err := GlobalKMS.GenerateKey(GlobalContext, &kms.GenerateKeyRequest{Name: e.Key, AssociatedData: ctx}); err != nil {
			return err
		}
	}
	return nil
}

// BatchKeyRotateFilter holds all the filters currently supported for batch replication
type BatchKeyRotateFilter struct {
	NewerThan     time.Duration `yaml:"newerThan,omitempty" json:"newerThan"`
	OlderThan     time.Duration `yaml:"olderThan,omitempty" json:"olderThan"`

	if err != nil {
		return BatchJobYamlErr{
			line: b.line,
			col:  b.col,
			msg:  err.Error(),
		}
	}
	return nil
}

// BatchJobSizeFilter supports size based filters - LesserThan and GreaterThan
type BatchJobSizeFilter struct {
	line, col  int
	UpperBound BatchJobSize `yaml:"lessThan" json:"lessThan"`
	LowerBound BatchJobSize `yaml:"greaterThan" json:"greaterThan"`
}

		if rule.Status == Disabled {
			continue
		}

		if obj.TargetArn != "" && rule.Destination.ARN != obj.TargetArn && c.RoleArn != obj.TargetArn {
			continue
		}
		// Ignore other object level and prefix filters for resyncing target/listing bucket targets
		if obj.OpType == ResyncReplicationType || obj.OpType == AllReplicationType {
			rules = append(rules, rule)
			continue
		}