return from(Arrays.asList(elements));
  }

  /**
   * Construct a fluent iterable from another fluent iterable. This is obviously never necessary,
   * but is intended to help call out cases where one migration from {@code Iterable} to {@code
   * FluentIterable} has obviated the need to explicitly convert to a {@code FluentIterable}.
   *

    // array slot is read and written exactly once. However, it can have very poor memory locality:
    // benchmarking shows it can take 7 times longer than the other two in some cases. The other two
    // do n swaps, minus a delta (0 or 2 for Reversal, gcd(d, n) for Successive), so that's about
    // twice as many reads and writes. But benchmarking shows that they usually perform better than

   *       simply switch over to use the JDK implementation wholesale if probable hash flooding is
   *       detected, sacrificing the compactness guarantee in very rare cases in exchange for much
   *       more reliable worst-case behavior.
   *   <li>null, if no entries have yet been added to the map
   * </ul>
   */
  private transient @Nullable Object table;

  /**

    return from(Arrays.asList(elements));
  }

  /**
   * Construct a fluent iterable from another fluent iterable. This is obviously never necessary,
   * but is intended to help call out cases where one migration from {@code Iterable} to {@code
   * FluentIterable} has obviated the need to explicitly convert to a {@code FluentIterable}.
   *

 * The [CacheControl] class can configure request caching directives and parse response caching
 * directives. It even offers convenient constants [CacheControl.FORCE_NETWORK] and
 * [CacheControl.FORCE_CACHE] that address the use cases above.
 *
 * [rfc_7234]: http://tools.ietf.org/html/rfc7234
 */
class Cache internal constructor(
  directory: Path,
  maxSize: Long,
  fileSystem: FileSystem,
  taskRunner: TaskRunner,
) : Closeable,

    }

    @Override
    public String toString() {
      return "IsOdd";
    }
  }

  /**
   * Generates a new Predicate per call.
   *
   * <p>Creating a new Predicate each time helps catch cases where code is using {@code x == y}
   * instead of {@code x.equals(y)}.
   */
  private static IsOdd isOdd() {
    return new IsOdd();
  }

  /*
   * Tests for Predicates.alwaysTrue().
   */

    assertThat(letters).containsExactly("a", "b", "c").inOrder();
  }

  /**
   * All of the infrastructure of split and splitToString is identical, so we do one test of
   * splitToString. All other cases should be covered by testing of split.
   *
   * <p>TODO(user): It would be good to make all the relevant tests run on both split and
   * splitToString automatically.
   */
  public void testCharacterSimpleSplitToList() {

이 이미지는 주로 위에서 설명된 상황에서 유용할 것입니다: [다중 프로세스를 가지는 컨테이너와 특수한 경우들](#containers-with-multiple-processes-and-special-cases).

* <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>.

/// warning | 경고

   * timeouts (due to a problem with the transport). When a stream times out we don't know whether
   * the problem impacts just one stream or the entire connection.
   *
   * To differentiate the two cases we ping the server when a stream times out. If the overall
   * connection is fine the ping will receive a pong; otherwise it won't.
   *

   * other, pass it first. Unfortunately, since this method sets the generic type of the returned
   * set based on the type of the first set passed, this could in rare cases force you to make a
   * cast, for example:
   *
   * {@snippet :
   * Set<Object> aFewBadObjects = ...
   * Set<String> manyBadStrings = ...
   *
   * // impossible for a non-String to be in the intersection