=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val client: OkHttpClient = OkHttpClient.Builder()

       * If we make some other optimizations, this one will no longer be necessary. The optimization
       * could actually hurt in some cases, as it forces us to keep all inputs in memory until the
       * final input completes.
       */
      @RetainedLocalRef
      ImmutableCollection<? extends ListenableFuture<? extends InputT>> localFutures = futures;

    // avoids this.
    checkState(aBoolean, "", aBoolean ? "" : anInt, (Object) anInt);

    // ambiguous without the .booleanValue() call since the boxing forces us into phase 2 resolution
    short s = 2;
    checkState(boxedBoolean.booleanValue(), "", s);
  }

  @J2ktIncompatible
  @GwtIncompatible // NullPointerTester
  public void testNullPointers() {
    /*

        assertEquals("user2", ((SID) resolvedFirst[1]).acctName);

        // Second call with overlap should use cache for s2 and s3, requiring only s3 if not cached
        // Mark s3 unresolved to force resolve of one element
        doAnswer(inv -> {
            SID[] toResolve = inv.getArgument(2);
            for (SID s : toResolve) {
                s.type = jcifs.SID.SID_TYPE_USER;

			}
		}
		return -1

	fallback:
		// Switch to bytealg.Index, if available, or a brute force search when
		// IndexByte returns too many false positives.
		if haveFastIndex {
			if j := bytealg.Index(s[i-last:], b[:n]); j >= 0 {
				return i + j - last
			}
		} else {
			// If bytealg.Index is not available a brute force search is
			// ~1.5-3x faster than Rabin-Karp since n is small.
			c0 := b[last]

        }

        int startedCrawlerNum = 0;
        int activeCrawlerNum = 0;
        while (startedCrawlerNum < dataCrawlingThreadList.size()) {
            // Force to stop crawl
            if (systemHelper.isForceStop()) {
                for (final DataCrawlingThread crawlerThread : dataCrawlingThreadList) {
                    crawlerThread.stopCrawling();
                }

            return OptionalThing.empty();
        }
        return OptionalThing.of(pipeline);
    }

    /**
     * Refreshes the crawling configuration cache by invalidating all cached entries.
     * This forces the next access to reload configurations from the underlying services.
     */
    public void refresh() {
        crawlingConfigCache.invalidateAll();
    }

    /**

        group = ciGroup
    }

    register("forceRealizeDependencyManagementTest") {
        description = "Runs all integration tests with the dependency management engine in 'force component realization' mode"
        group = ciGroup
    }
}

// https://github.com/gradle/gradle-private/issues/3380
fun Test.configureAndroidUserHome() {

C'est pourquoi il est logique d'utiliser du code asynchrone ⏸🔀⏯ pour des APIs web.

Ce type d'asynchronicité est ce qui a rendu NodeJS populaire (bien que NodeJS ne soit pas parallèle) et c'est la force du Go en tant que langage de programmation.

Et c'est le même niveau de performance que celui obtenu avec **FastAPI**.

        options.color().ifPresent(color -> {
            String c = color.toLowerCase(Locale.ENGLISH);
            if (!Arrays.asList("always", "yes", "force", "never", "no", "none", "auto", "tty", "if-tty")
                    .contains(c)) {
                context.parsingFailed = true;
                context.parserRequest
                        .logger()