* Collections#frequency}) can cause major performance problems.
   *
   * <p>The returned set's {@link Object#toString} method returns a shorthand form of the set's
   * contents, such as {@code "[1..100]}"}.
   *
   * @throws IllegalArgumentException if neither this range nor the domain has a lower bound, or if
   *     neither has an upper bound
   */

 *   <li>a → 2
 *   <li>b → 3
 * </ul>
 *
 * <p><b>Important:</b> although the first interpretation resembles how most multimaps are
 * <i>implemented</i>, the design of the {@code Multimap} API is based on the <i>second</i> form.
 * So, using the multimap shown above as an example, the {@link #size} is {@code 3}, not {@code 2},
 * and the {@link #values} collection is {@code [1, 2, 3]}, not {@code [[1, 2], [3]]}. For those

<img class="shadow" src="/img/deployment/concepts/image01.png">

---

Artık **process** ve **program** arasındaki farkı bildiğimize göre, deployment konusuna devam edelim.

## Startup'ta Çalıştırma { #running-on-startup }

//   - on rewrite dataDir on disk that must be additionally purged
//     only after as a 2-phase call, allowing the older dataDir to
//     hang-around in-case we need some form of recovery.
type RenameDataResp struct {
	Sign       []byte `msg:"s"`
	OldDataDir string `msg:"od"` // contains '<uuid>', it is designed to be passed as value to Delete(bucket, pathJoin(object, dataDir))
}

const (

// the last sent value is received. After the last value has been received
// from a closed channel c, any receive from c will succeed without
// blocking, returning the zero value for the channel element. The form
//
//	x, ok := <-c
//
// will also set ok to false for a closed and empty channel.
func close(c chan<- Type)

// The panic built-in function stops normal execution of the current

 * <pre>
 * LockA -&gt; LockB -&gt; LockC
 * LockA -&gt; LockC -&gt; LockB
 * </pre>
 *
 * <p><strong>ReadWriteLocks</strong>
 *
 * <p>While {@code ReadWriteLock} instances have different properties and can form cycles without
 * potential deadlock, this class treats {@code ReadWriteLock} instances as equivalent to
 * traditional exclusive locks. Although this increases the false positives that the locks detect

## Pydantic 特性 { #pydantic-features }

**FastAPI** 和 [**Pydantic**](https://docs.pydantic.dev/) 完全兼容（并基于）。所以，你有的其他的 Pydantic 代码也能正常工作。

兼容包括基于 Pydantic 的外部库，例如用于数据库的 <abbr title="Object-Relational Mapper - 对象关系映射">ORM</abbr>s、<abbr title="Object-Document Mapper - 对象文档映射">ODM</abbr>s。

这也意味着在很多情况下，你可以将从请求中获得的相同对象**直接传到数据库**，因为所有的验证都是自动的。

反之亦然，在很多情况下，你也可以将从数据库中获取的对象**直接传到客户端**。

    @Override
    public int hashCode() {
      return equivalence.hash(reference);
    }

    /**
     * Returns a string representation for this equivalence wrapper. The form of this string
     * representation is not specified.
     */
    @Override
    public String toString() {
      return equivalence + ".wrap(" + reference + ")";
    }

{* ../../docs_src/dependencies/tutorial007_py310.py hl[3,5] *}

## Unterabhängigkeiten mit `yield` { #sub-dependencies-with-yield }

Sie können Unterabhängigkeiten und „Bäume“ von Unterabhängigkeiten beliebiger Größe und Form haben, und einige oder alle davon können `yield` verwenden.

**FastAPI** stellt sicher, dass der „Exit-Code“ in jeder Abhängigkeit mit `yield` in der richtigen Reihenfolge ausgeführt wird.

 *
 * <p>The caches produced by {@code CacheBuilder} are serializable, and the deserialized caches
 * retain all the configuration properties of the original cache. Note that the serialized form does
 * <i>not</i> include cache contents, but only configuration.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/CachesExplained">caching</a> for a higher-level