// have no idea.
          // TODO(lukes): consider building everything in terms of ListenableScheduledFuture then
          // the AbstractService could monitor the future directly. Rescheduling is still hard...
          // but it would help with some of these lock ordering issues.
          scheduleFailure = e;
          toReturn = new FutureAsCancellable(immediateCancelledFuture());
        } finally {

   *
   * <p><b>Performance note:</b> The resulting stream is not <a
   * href="http://gee.cs.oswego.edu/dl/html/StreamParallelGuidance.html">efficiently splittable</a>.
   * This may harm parallel performance.
   */
  @Beta
  public static <A extends @Nullable Object, B extends @Nullable Object, R extends @Nullable Object>
      Stream<R> zip(

      // implementation because:
      // 1. the string constructor can avoid an extra copy most of the time by correctly sizing the
      //    internal char array (hard to avoid using StringBuilder)
      // 2. we avoid extra copies into temporary buffers altogether
      // The downside is that this will cause us to store the file bytes in memory twice for a short
      // amount of time.

   *       Given all these possibilities, it is frequently possible for listeners to execute in UI
   *       threads, RPC network threads, or other latency-sensitive threads. In those cases, slow
   *       listeners can harm responsiveness, slow the system as a whole, or worse. (See also the
   *       note about locking below.)
   *   <li>If many tasks will be triggered by the same event, one heavyweight task may delay other

   * Function<A, B> or who call convertAll (and for any checkers that apply @PolyNull-like semantics
   * to Converter.convert). So maybe we don't want to think too hard about how to prevent our
   * checkers from issuing errors related to LegacyConverter, since it turns out that
   * LegacyConverter does violate the assumptions we make elsewhere.
   */

  @CheckForNull

---

FastAPI jẹ́ ìgbàlódé, tí ó yára (iṣẹ-giga), ìlànà wẹ́ẹ́bù fún kikọ àwọn API pẹ̀lú Python èyí tí ó da lori àwọn ìtọ́kasí àmì irúfẹ́ Python.

Àwọn ẹya pàtàkì ni:

* **Ó yára**: Iṣẹ tí ó ga púpọ̀, tí ó wa ni ibamu pẹ̀lú **NodeJS** àti **Go** (ọpẹ si Starlette àti Pydantic). [Ọkan nínú àwọn ìlànà Python ti o yára jùlọ ti o wa](#isesi).

* Startup and shutdown events.
* Test client built on HTTPX.
* CORS, GZip, Static Files, Streaming responses.
* Session and Cookie support.
* 100% test coverage.
* 100% type annotated codebase.
* Few hard dependencies.

Starlette is currently the fastest Python framework tested. Only surpassed by Uvicorn, which is not a framework, but a server.

Starlette provides all the basic web microframework functionality.

			if n+directoryEndLen+i > len(b) {
				// Truncated comment.
				// Some parsers (such as Info-ZIP) ignore the truncated comment
				// rather than treating it as a hard error.
				return -1
			}
			return i
		}
	}
	return -1
}

type readBuf []byte

func (b *readBuf) uint8() uint8 {
	v := (*b)[0]
	*b = (*b)[1:]
	return v
}

0},meridiem:function(e,a,t){return e<11?"pagi":e<15?"siang":e<19?"sore":"malam"},calendar:{sameDay:"[Hari ini pukul] LT",nextDay:"[Besok pukul] LT",nextWeek:"dddd [pukul] LT",lastDay:"[Kemarin pukul] LT",lastWeek:"dddd [lalu pukul] LT",sameElse:"L"},relativeTime:{future:"dalam %s",past:"%s yang lalu",s:"beberapa detik",ss:"%d detik",m:"semenit",mm:"%d menit",h:"sejam",hh:"%d jam",d:"sehari",dd:"%d hari",M:"sebulan",MM:"%d bulan",y:"setahun",yy:"%d tahun"},week:{dow:0,doy:6}}),M.defineLocale("is",{m...

}

var listCache sync.Map // map[string]listImports, keyed by contextName

// listSem is a semaphore restricting concurrent invocations of 'go list'. 'go
// list' has its own internal concurrency, so we use a hard-coded constant (to
// allow the I/O-intensive phases of 'go list' to overlap) instead of scaling
// all the way up to GOMAXPROCS.
var listSem = make(chan semToken, 2)

type semToken struct{}