}
        return o1.equals(o2);
    }

    // ----------------------------------------------------------------------------
    /**
     * used to eliminate exact duplicates in the edge list
     */
    @Override
    @SuppressWarnings("checkstyle:equalshashcode")
    public boolean equals(Object o) {
        if (o instanceof MetadataGraphEdge e) {
            return objectsEqual(version, e.version)

     * annotated with the {@link Resolution} annotation.
     */
    @Nonnull
    boolean dependencyCollection() default false;

    /**
     * Comma separated list of path scopes that will be
     * required for dependency resolution.
     * If not set, it will be inferred from the fields
     * annotated with the {@link Resolution} annotation.
     */
    @Nonnull

   * done.
   */
  public static final class DeferredCloser {
    @RetainedWith private final CloseableList list;

    DeferredCloser(CloseableList list) {
      this.list = list;
    }

    /**
     * Captures an object to be closed when a {@link ClosingFuture} pipeline is done.
     *

import com.google.common.cache.CacheTesting.Receiver;
import com.google.common.cache.TestingCacheLoaders.IdentityLoader;
import com.google.common.cache.TestingRemovalListeners.CountingRemovalListener;
import java.util.List;
import java.util.Set;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Tests relating to cache eviction: what does and doesn't count toward maximumSize, what happens

## 모델 리스트

마찬가지로, 객체 리스트 형태의 응답을 선언할 수도 있습니다.

이를 위해 표준 Python의 `typing.List`를 사용하세요(또는 Python 3.9 이상에서는 단순히 `list`를 사용할 수 있습니다):

{* ../../docs_src/extra_models/tutorial004_py39.py hl[18] *}


## 임의의 `dict` 응답

Pydantic 모델을 사용하지 않고, 키와 값의 타입만 선언하여 평범한 임의의 `dict`로 응답을 선언할 수도 있습니다.

Ale domyślnie wszystko **"po prostu działa"**.

### Walidacja

* Walidacja większości (lub wszystkich?) **typów danych** Pythona, w tym:
    * Obiektów JSON (`dict`).
    * Tablic JSON (`list`) ze zdefiniowanym typem elementów.
    * Pól tekstowych (`str`) z określeniem minimalnej i maksymalnej długości.
    * Liczb (`int`, `float`) z wartościami minimalnymi, maksymalnymi, itp.

But by default, it all **"just works"**.

### Validation { #validation }

* Validation for most (or all?) Python **data types**, including:
    * JSON objects (`dict`).
    * JSON array (`list`) defining item types.
    * String (`str`) fields, defining min and max lengths.
    * Numbers (`int`, `float`) with min and max values, etc.

* Validation for more exotic types, like:
    * URL.
    * Email.

### Bug or Regression

- Fix list cost estimation in Priority and Fairness for list requests with metadata.name specified. ([#112557](https://github.com/kubernetes/kubernetes/pull/112557), [@marseel](https://github.com/marseel)) [SIG API Machinery]

          mappedToCodePoints = listOf(1 shl 18),
        ),
      ),
    ).isEqualTo(null)
  }

  private fun mappingOf(
    sourceCodePoint0: Int,
    sourceCodePoint1: Int,
    mappedToCodePoints: List<Int>,
  ): Mapping =
    Mapping(
      sourceCodePoint0 = sourceCodePoint0,
      sourceCodePoint1 = sourceCodePoint1,
      type = TYPE_MAPPED,
      mappedTo =
        Buffer()
          .also {

   * Indicates that a collection has a well-defined ordering of its elements. The ordering may
   * depend on the element values, such as a {@link SortedSet}, or on the insertion ordering, such
   * as a {@link LinkedHashSet}. All list tests and sorted-collection tests automatically specify
   * this feature.
   */
  KNOWN_ORDER,

  /**
   * Indicates that a collection has a different {@link Object#toString} representation than most