* comparable</a>. If you pass objects that are not mutually comparable, this method may throw an
   * exception. (The reason for this decision is lost to time, but the reason <i>might</i> be that
   * we wanted to support legacy classes that implement the raw type {@code Comparable} (instead of
   * implementing {@code Comparable<Foo>}) without producing warnings. If so, we would prefer today

    return fmix(h1, Longs.BYTES);
  }

  @Override
  public HashCode hashUnencodedChars(CharSequence input) {
    int h1 = seed;

    // step through the CharSequence 2 chars at a time
    for (int i = 1; i < input.length(); i += 2) {
      int k1 = input.charAt(i - 1) | (input.charAt(i) << 16);
      k1 = mixK1(k1);
      h1 = mixH1(h1, k1);
    }

    // deal with any remaining characters

      }
      return ((SortedMap<C, V>) backingRowMap).lastKey();
    }

    transient @Nullable SortedMap<C, V> wholeRow;

    // If the row was previously empty, we check if there's a new row here every time we're queried.
    void updateWholeRowField() {
      if (wholeRow == null || (wholeRow.isEmpty() && backingMap.containsKey(rowKey))) {
        wholeRow = (SortedMap<C, V>) backingMap.get(rowKey);
      }
    }

  //   completion preferably and AQS is non-deterministic (depends on where in the queue the waiter
  //   is). If we wanted to be strict about it, we could store the unpark() time in the Waiter node
  //   and we could use that to make a decision about whether or not we timed out prior to being
  //   unparked.

  @SuppressWarnings({
    "LabelledBreakTarget", // TODO(b/345814817): Maybe fix?

    b *= K3;
    return b;
  }

  /**
   * Computes intermediate hash of 32 bytes of byte array from the given offset. Results are
   * returned in the output array - this is 12% faster than allocating new arrays every time.
   */
  private static void weakHashLength32WithSeeds(
      byte[] bytes, int offset, long seedA, long seedB, long[] output) {
    long part1 = load64(bytes, offset);
    long part2 = load64(bytes, offset + 8);

///

### `response` の前後

*path operation* が `request` を受け取る前に、 `request` とともに実行されるコードを追加できます。

また `response` が生成された後、それを返す前にも追加できます。

例えば、リクエストの処理とレスポンスの生成にかかった秒数を含むカスタムヘッダー `X-Process-Time` を追加できます:

{* ../../docs_src/middleware/tutorial001.py hl[10,12:13] *}

## その他のミドルウェア

他のミドルウェアの詳細については、[高度なユーザーガイド: 高度なミドルウェア](../advanced/middleware.md){.internal-link target=_blank}を参照してください。

a link: https://dev.to/paurakhsharma/microservice-in-python-using-fastapi-24cc title: Microservice in Python using FastAPI - author: Guillermo Cruz author_link: https://wuilly.com/ link: https://wuilly.com/2019/10/real-time-notifications-with-python-and-postgres/ title: Real-time Notifications with Python and Postgres - author: Navule Pavan Kumar Rao author_link: https://www.linkedin.com/in/navule/ link: https://www.tutlinks.com/create-and-deploy-fastapi-app-to-heroku/ title: Create and Deploy FastAPI...

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

import java.time.LocalDateTime;
import java.util.HashMap;
import java.util.Map;

import org.codelibs.fess.opensearch.config.allcommon.EsAbstractEntity;
import org.codelibs.fess.opensearch.config.bsentity.dbmeta.FileConfigDbm;

/**

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

import java.time.LocalDateTime;
import java.util.List;
import java.util.Map;

import org.codelibs.fess.opensearch.config.exentity.FileAuthentication;
import org.dbflute.Entity;
import org.dbflute.dbmeta.AbstractDBMeta;

   */
  @AndroidIncompatible // slow. TODO(cpovirk): Maybe just reduce iterations under Android.
  public void testExhaustive() throws Exception {
    Random random = new Random(0); // will iteratively make more debuggable, each time it breaks
    for (int totalInsertions = 0; totalInsertions < 200; totalInsertions++) {

      List<Sink> sinks = new ArrayList<>();
      for (int chunkSize = 4; chunkSize <= 32; chunkSize++) {