long weightC = comparator.getProjectWeight(projectC);
        long weightX = comparator.getProjectWeight(projectX);

        // Project A should have the highest weight as it's at the root
        assertTrue(weightA > weightB, "Project A should have weight > Project B");
        assertTrue(weightA > weightC, "Project A should have weight > Project C");
        assertTrue(weightB > weightX, "Project B should have weight > Project X");

    }

    public static String key(String groupId, String artifactId, String version) {
        notBlank(groupId, "groupId can neither be null, empty nor blank");
        notBlank(artifactId, "artifactId can neither be null, empty nor blank");
        notBlank(version, "version can neither be null, empty nor blank");

        return groupId + ":" + artifactId + ":" + version;
    }

 * <ul>
 * <li>Project D: weight = 1 (no downstream dependencies)</li>
 * <li>Project B: weight = 2 (1 + max(D=1))</li>
 * <li>Project C: weight = 2 (1 + max(D=1))</li>
 * <li>Project A: weight = 3 (1 + max(B=2, C=2))</li>
 * </ul>
 * <p>Build order: A (weight=3), then B and C (weight=2, ordered by project ID), then D (weight=1)
 * <p>If projects have identical weights and IDs, the order is deterministic but may not preserve

This means that, even though your API clients can only send strings as keys, as long as those strings contain pure integers, Pydantic will convert them and validate them.

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

## Recap { #recap }

With **FastAPI** you have the maximum flexibility provided by Pydantic models, while keeping your code simple, short and elegant.

/// tip | 팁

JSON은 오직 `str`형 키만 지원한다는 것을 염두에 두세요.

하지만 Pydantic은 자동 데이터 변환이 있습니다.

즉, API 클라이언트가 문자열을 키로 보내더라도 해당 문자열이 순수한 정수를 포함하는한 Pydantic은 이를 변환하고 검증합니다.

그러므로 `weights`로 받은 `dict`는 실제로 `int` 키와 `float` 값을 가집니다.

///

## 요약

**FastAPI**를 사용하면 Pydantic 모델이 제공하는 최대 유연성을 확보하면서 코드를 간단하고 짧게, 그리고 우아하게 유지할 수 있습니다.

물론 아래의 이점도 있습니다:

* 편집기 지원 (자동완성이 어디서나!)

// and checks whether they are well-formed. It returns the sealed object key
// on success. If the metadata contains both, a KMS master key ID and a sealed
// KMS data key it returns both. If the metadata does not contain neither a
// KMS master key ID nor a sealed KMS data key it returns an empty keyID and
// KMS data key. Otherwise, it returns an error.

/// tip

请记住 JSON 仅支持将 `str` 作为键。

但是 Pydantic 具有自动转换数据的功能。

这意味着，即使你的 API 客户端只能将字符串作为键发送，只要这些字符串内容仅包含整数，Pydantic 就会对其进行转换并校验。

然后你接收的名为 `weights` 的 `dict` 实际上将具有 `int` 类型的键和 `float` 类型的值。

///

## 总结

使用 **FastAPI** 你可以拥有 Pydantic 模型提供的极高灵活性，同时保持代码的简单、简短和优雅。

而且还具有下列好处：

* 编辑器支持（处处皆可自动补全！）
* 数据转换（也被称为解析/序列化）
* 数据校验
* 模式文档

     * undergone any updates by the model builder, e.g. reflects neither inheritance nor interpolation.
     *
     * @return The raw model, never {@code null}.
     */
    Model getRawModel();

    /**
     * Gets the specified raw model as it was read from a model source. Apart from basic validation, a raw model has not
     * undergone any updates by the model builder, e.g. reflects neither inheritance nor interpolation. The model

import static java.lang.annotation.RetentionPolicy.RUNTIME;

/**
 * Specifies the priority of a bean implementation when multiple implementations
 * of the same type are available.
 * <p>
 * Higher values indicate higher priority. When multiple implementations of the same
 * type exist, the one with the highest priority will be selected for injection.
 * <p>
 * Example usage:
 * <pre>
 * {@literal @}Priority(100)

 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.api.services;

import org.apache.maven.api.annotations.Nonnull;

/**
 * Describes a problem that was encountered during model building. A problem can either be an exception that was thrown