import org.codelibs.fess.opensearch.config.cbean.cq.DataConfigCQ;
import org.codelibs.fess.opensearch.config.cbean.cq.bs.BsDataConfigCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;

b){return a%b===0?a:Math.round(a%b/b)?(a+(b-a%b))%60:a-a%b},place:function(){if(!this.isInline){var c=this.$widget.outerWidth(),d=this.$widget.outerHeight(),e=10,f=a(b).width(),g=a(b).height(),h=a(b).scrollTop(),i=parseInt(this.$element.parents().filter(function(){return"auto"!==a(this).css("z-index")}).first().css("z-index"),10)+10,j=this.component?this.component.parent().offset():this.$element.offset(),k=this.component?this.component.outerHeight(!0):this.$element.outerHeight(!1),l=this.compone...

   * equivalently, if this inverse view contains a key that is equal to {@code value}).
   *
   * <p>Due to the property that values in a BiMap are unique, this will tend to execute in
   * faster-than-linear time.
   *
   * @param value the object to search for in the values of this BiMap
   * @return true if a mapping exists from a key to the specified value
   */
  @Override

- [v1.8.0-rc.1](https://github.com/kubernetes/kubernetes/blob/master/CHANGELOG.md#v180-rc1)
- [v1.8.0-beta.1](https://github.com/kubernetes/kubernetes/blob/master/CHANGELOG.md#v180-beta1)
- [v1.8.0-alpha.3](https://github.com/kubernetes/kubernetes/blob/master/CHANGELOG.md#v180-alpha3)
- [v1.8.0-alpha.2](https://github.com/kubernetes/kubernetes/blob/master/CHANGELOG.md#v180-alpha2)

 * iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs

            writeInt4(buffer, offset + 4, 0);  // Flow info
            System.arraycopy(address.getAddress(), 0, buffer, offset + 8, 16);
            writeInt4(buffer, offset + 24, 0);  // Scope ID
        } else {
            // IPv4 sockaddr_in structure
            writeInt2(buffer, offset, 2);  // AF_INET
            writeInt2(buffer, offset + 2, 445);  // Port
            System.arraycopy(address.getAddress(), 0, buffer, offset + 4, 4);
        }

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

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

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

import org.codelibs.fess.opensearch.config.cbean.cq.FileConfigCQ;
import org.codelibs.fess.opensearch.config.cbean.cq.bs.BsFileConfigCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;

 *  Fix: Reliably update and invalidate the disk cache on windows. As originally designed our
    internal `DiskLruCache` assumes an inode-like file system, where it's fine to delete files that
    are currently being read or written. On Windows the file system forbids this so we must be more
    careful when deleting and renaming files.

 *  Fix: Don't crash on Java 8u252 which introduces an API previously found only on Java 9 and

import org.codelibs.fess.opensearch.log.cbean.ca.SearchLogCA;
import org.codelibs.fess.opensearch.log.cbean.cq.SearchLogCQ;
import org.codelibs.fess.opensearch.log.cbean.cq.bs.BsSearchLogCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.DateHistogramAggregationBuilder;