* is perpetually "flipped" (unencoded characters between position and limit).
   */
  private CharBuffer charBuffer;

  /**
   * byteBuffer holds encoded characters that have not yet been sent to the caller of the input
   * stream. When encoding it is "unflipped" (encoded bytes between 0 and position) and when
   * draining it is flipped (undrained bytes between position and limit).
   */
  private ByteBuffer byteBuffer;

            model = new Model(modelReader.read(sReader));
        } catch (XMLStreamException e) {
            throw new ModelInterpolationException(
                    "Cannot read project model from interpolating filter of serialized version.", e);
        }

        return model;
    }

    /**
     * Interpolates all expressions in the src parameter.
     * <p>
     * The algorithm used for each expression is:

import org.codelibs.fess.es.config.cbean.ca.ElevateWordCA;
import org.codelibs.fess.es.config.cbean.cq.ElevateWordCQ;
import org.codelibs.fess.es.config.cbean.cq.bs.BsElevateWordCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;

import org.codelibs.fess.es.config.cbean.ca.RelatedContentCA;
import org.codelibs.fess.es.config.cbean.cq.RelatedContentCQ;
import org.codelibs.fess.es.config.cbean.cq.bs.BsRelatedContentCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;

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

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

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

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

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

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

    return warmUp(cache, WARMUP_MIN, WARMUP_MAX);
  }

  /**
   * Returns the entries that were added to the map, so they won't fall out of a map with weak or
   * soft references until the caller drops the reference to the returned entries.
   */
  private List<Entry<Object, Object>> warmUp(
      LoadingCache<Object, Object> cache, int minimum, int maximum) {

    * Eine Datei, die bis zu einem bestimmten Größen-Limit im Arbeitsspeicher behalten wird, und wenn das Limit überschritten wird, auf der Festplatte gespeichert wird.
* Das bedeutet, es wird für große Dateien wie Bilder, Videos, große Binärdateien, usw. gut funktionieren, ohne den ganzen Arbeitsspeicher aufzubrauchen.
* Sie können Metadaten aus der hochgeladenen Datei auslesen.

                @Override
                public Optional<Type> lookup(String id) {
                    return providers.stream()
                            .flatMap(p -> p.provides().stream())
                            .filter(t -> Objects.equals(id, t.id()))
                            .findAny();
                }
            };
        }

        @Provides
        @SuppressWarnings("unused")

		if errors.Is(ctx.Err(), context.DeadlineExceeded) {
			return ctx.Err()
		}
		return nil
	default:
		// log channel is full, do not wait and return
		// an error immediately to the caller
		atomic.AddInt64(&h.totalMessages, 1)
		atomic.AddInt64(&h.failedMessages, 1)
		return errors.New("log buffer full")
	}
	return nil
}

// SendFromStore - reads the log from store and sends it to kafka.