* 🌐 Add Korean translation for `docs/ko/docs/tutorial/header-param-models.md`. PR [#13001](https://github.com/fastapi/fastapi/pull/13001) by [@hard-coders](https://github.com/hard-coders).
* 🌐 Add Korean translation for `docs/ko/docs/tutorial/request-form-models.md`. PR [#13002](https://github.com/fastapi/fastapi/pull/13002) by [@hard-coders](https://github.com/hard-coders).

          // 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 {

      // 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.

* 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.

   * 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.
   */

          // 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 {

}

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{}

			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
}

**available machines** taking into account the amount of memory needed by them, and the amount available in the machines in the cluster.

If your application is **simple**, this will probably **not be a problem**, and you might not need to specify hard memory limits. But if you are **using a lot of memory** (for example with **machine learning** models), you should check how much memory you are consuming and adjust the **number of containers** that runs in **each machine** (and maybe add more machines...

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