* either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.es.config.cbean.cq.bs;

import java.time.LocalDateTime;
import java.util.ArrayList;
import java.util.Collection;

import org.codelibs.fess.es.config.allcommon.EsAbstractConditionQuery;
import org.codelibs.fess.es.config.cbean.cq.CrawlingInfoCQ;

     */
    @ParametricNullness
    E getElement();

    /**
     * Returns the count of the associated element in the underlying multiset. This count may either
     * be an unchanging snapshot of the count at the time the entry was retrieved, or a live view of
     * the current count of the element in the multiset, depending on the implementation. Note that

 * supported. The elements can be any objects.
 *
 * <p>{@code contains(x)}, {@code add(x)} and {@code remove(x)}, are all (expected and amortized)
 * constant time operations. Expected in the hashtable sense (depends on the hash function doing a
 * good job of distributing the elements to the buckets to a distribution not far from uniform), and

   * most key spaces are ANYTHING BUT uniformly distributed. A bit(i) in the input is said to
   * 'affect' a bit(j) in the output if two inputs, identical but for bit(i), will differ at output
   * bit(j) about half the time
   *
   * <p>Funneling is pretty simple to detect. The key idea is to find example keys which
   * unequivocally demonstrate that funneling cannot be occurring. This is done bit-by-bit. For each

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.es.config.cbean.cq.bs;

import java.time.LocalDateTime;
import java.util.ArrayList;
import java.util.Collection;

import org.codelibs.fess.es.config.allcommon.EsAbstractConditionQuery;
import org.codelibs.fess.es.config.cbean.cq.BadWordCQ;

      return entry2.getCount() - entry1.getCount(); // subtracting two nonnegative integers
    }
  }

  /**
   * An {@link AbstractMultiset} with additional default implementations, some of them linear-time
   * implementations in terms of {@code elementSet} and {@code entrySet}.
   */
  private abstract static class ViewMultiset<E extends @Nullable Object>
      extends AbstractMultiset<E> {
    @Override

---

"_私は**FastAPI**にワクワクしています。 めちゃくちゃ楽しいです！_"

<div style="text-align: right; margin-right: 10%;">Brian Okken - <strong><a href="https://pythonbytes.fm/episodes/show/123/time-to-right-the-py-wrongs?time_in_sec=855" target="_blank">Python Bytes</a> podcast host</strong> <a href="https://twitter.com/brianokken/status/1112220079972728832" target="_blank"><small>(ref)</small></a></div>

---

      return entry2.getCount() - entry1.getCount(); // subtracting two nonnegative integers
    }
  }

  /**
   * An {@link AbstractMultiset} with additional default implementations, some of them linear-time
   * implementations in terms of {@code elementSet} and {@code entrySet}.
   */
  private abstract static class ViewMultiset<E extends @Nullable Object>
      extends AbstractMultiset<E> {
    @Override

func testListBucketsOrder(obj ObjectLayer, instanceType string, t TestErrHandler) {
	// if implementation contains a map, order of map keys will vary.
	// this ensures they return in the same order each time.
	// add one and test exists.
	err := obj.MakeBucket(context.Background(), "bucket1", MakeBucketOptions{})
	if err != nil {
		t.Fatalf("%s: <ERROR> %s", instanceType, err)
	}

   * its capacity threshold.
   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.
   */