In order to run the YAML tests, the relevant API specification needs
to be on the test classpath. Any gradle project that has support for REST
tests will get the primary API on it's class path. However, to better support
Gradle incremental builds, it is recommended to explicitly declare which
parts of the API the tests depend upon.

For example:
---------------------------------------------------------------------------

   *
   * <p>If {@code expectedSize} is exactly the number of entries added to the builder before {@link
   * Builder#build} is called, the builder is likely to perform better than an unsized {@link
   * #builder()} would have.
   *
   * <p>It is not specified if any performance benefits apply if {@code expectedSize} is close to,
   * but not exactly, the number of entries added to the builder.

   *
   * <p>If {@code expectedSize} is exactly the number of entries added to the builder before {@link
   * Builder#build} is called, the builder is likely to perform better than an unsized {@link
   * #builder()} would have.
   *
   * <p>It is not specified if any performance benefits apply if {@code expectedSize} is close to,
   * but not exactly, the number of entries added to the builder.

# errors.
# There is ongoing work on Bazel team's side to provide support for transitive
# shared libraries. As part of migrating to transitive shared libraries, we
# hope to provide a better mechanism for control over symbol exporting, and
# then tackle this issue again.
#
# TODO: Remove the following two lines once TF doesn't depend on Bazel wrapping
# all library archives in -whole_archive -no_whole_archive.

- EndpointSlice controller now handles terminating pods correctly and is better at preventing race conditions. ([#89118](https://github.com/kubernetes/kubernetes/pull/89118), [@robscott](https://github.com/robscott)) [SIG Apps and Network]

		}
		if s[i+1] == c1 && Equal(s[i:i+n], sep) {
			return i
		}
		i++
		fails++
		if fails >= 4+i>>4 && i < t {
			// Give up on IndexByte, it isn't skipping ahead
			// far enough to be better than Rabin-Karp.
			// Experiments (using IndexPeriodic) suggest
			// the cutover is about 16 byte skips.
			// TODO: if large prefixes of sep are matching
			// we should cutover at even larger average skips,

さらに、並列性と非同期性を同時に活用できるため、テストされた多くの NodeJS フレームワークより高い性能を発揮し、C に近いコンパイル言語である Go と同等の性能になります [(すべて Starlette のおかげです)](https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1)。

### 並行処理は並列処理より優れている？ { #is-concurrency-better-than-parallelism }

いいえ！それがこの話の教訓ではありません。

並行処理は並列処理とは異なります。そして多くの待ち時間を伴う**特定の**シナリオでは優れています。そのため、一般に Web アプリ開発では並列処理よりはるかに適しています。しかし、すべてに対して最良というわけではありません。

バランスを取るために、次の短い物語を想像してください。

                slf4jLogger.debug(buff.toString());
            }
        }
    }

    // Needed to make this method package visible to make writing a unit test possible
    // Maybe it's better to move some of those methods to separate class (SoC).
    void properties(CliRequest cliRequest) throws Exception {
        Properties paths = new Properties();
        if (cliRequest.topDirectory != null) {

  /*
   * If n <= millerRabinBases[i][0], then testing n against bases millerRabinBases[i][1..] suffices
   * to prove its primality. Values from miller-rabin.appspot.com.
   *
   * NOTE: We could get slightly better bases that would be treated as unsigned, but benchmarks
   * showed negligible performance improvements.
   */
  private static final long[][] millerRabinBaseSets = {
    {291830, 126401071349994536L},

### 동시성이 병렬성보다 더 나은가요? { #is-concurrency-better-than-parallelism }

아니요! 그게 이 이야기의 교훈은 아닙니다.

동시성은 병렬성과 다릅니다. 그리고 많은 기다림이 포함되는 **특정한** 시나리오에서는 더 낫습니다. 그 때문에 웹 애플리케이션 개발에서는 일반적으로 병렬성보다 훨씬 더 낫습니다. 하지만 모든 것에 해당하진 않습니다.

그래서 균형을 맞추기 위해, 다음의 짧은 이야기를 상상해보세요: