import com.google.common.collect.Sets;
import com.google.common.testing.NullPointerTester;
import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.time.Duration;
import java.util.HashMap;
import java.util.Map;
import java.util.Random;
import java.util.Set;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;

import com.google.common.collect.Sets;
import com.google.common.testing.NullPointerTester;
import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.time.Duration;
import java.util.HashMap;
import java.util.Map;
import java.util.Random;
import java.util.Set;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;

    assertThat(multimap.entries().spliterator().characteristics() & Spliterator.DISTINCT)
        .isEqualTo(0);
  }

  // Yes, we want to test that inverse() returns the same instance each time that it's called.
  @SuppressWarnings("SelfAssertion")
  public void testInverseMinimizesWork() {
    ImmutableListMultimap<String, Character> multimap =
        ImmutableListMultimap.<String, Character>builder()

                                // So since we are here and this is ranges we must go figure out the version (for a
                                // third time...)
                                if (resetArtifact.getVersion() == null && resetArtifact.getVersionRange() != null) {

                                    // go find the version. This is a total hack. See previous comment.

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

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

import org.codelibs.fess.opensearch.config.allcommon.EsAbstractConditionQuery;
import org.codelibs.fess.opensearch.config.cbean.cq.ThumbnailQueueCQ;

 *
 * <p><b>Warning:</b> {@code ArrayTable} is rarely the {@link Table} implementation you want. First,
 * it requires that the complete universe of rows and columns be specified at construction time.
 * Second, it is always backed by an array large enough to hold a value for every possible
 * combination of row and column keys. (This is rarely optimal unless the table is extremely dense.)

		// Handle an incoming request. Initial payload is sent.
		// Additional input packets (if any) are streamed to request.
		// Upstream will block when request channel is full.
		// Response packets can be sent at any time.
		// Any non-nil error sent as response means no more responses are sent.
		Handle StreamHandlerFn

		// Subroute for handler.
		// Subroute must be static and clients should specify a matching subroute.

          "expr": "minio_usage_last_activity_nano_seconds{job=~\"$scrape_jobs\"}",
          "interval": "1m",
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Time Elapsed Since Last Scan (nanos)",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {

   * 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

import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertTrue;
import static org.junit.Assert.fail;

import java.time.ZonedDateTime;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.CountDownLatch;