但本节以 `PATCH` 为例的原因是，该操作就是为了这种用例创建的。

///

/// note | 笔记

注意，输入模型仍需验证。

因此，如果希望接收的部分更新数据可以省略其他所有属性，则要把模型中所有的属性标记为可选（使用默认值或 `None`）。

为了区分用于**更新**所有可选值的模型与用于**创建**包含必选值的模型，请参照[更多模型](extra-models.md){.internal-link target=_blank} 一节中的思路。

Чтобы отличить модели со всеми необязательными значениями для **обновления** от моделей с обязательными значениями для **создания**, можно воспользоваться идеями, описанными в [Дополнительные модели](extra-models.md){.internal-link target=_blank}.

    }

    public MaxCodePoint(String userFriendly) {
      value = decode(userFriendly);
    }
  }

  /**
   * The default values of maxCodePoint below provide pretty good performance models of different
   * kinds of common human text.
   *
   * @see MaxCodePoint#decode
   */
  @Param({"0x80", "0x90", "0x100", "0x800", "0x10000", "0x10ffff"})
  MaxCodePoint maxCodePoint;

  @Param({"16384"})

/**
 * Provides access to the contents of a source independently of the
 * backing store (e.g. file system, database, memory).
 * <p>
 * This is mainly used to parse files into objects such as Maven projects,
 * models, settings, or toolchains. The source implementation handles
 * all the details of accessing the underlying content while providing
 * a uniform API to consumers.
 * <p>
 * Sources can represent:
 * <ul>

        }

        return false;
    }

    /**
     * Checks if a model version is eligible for inference optimizations.
     * Models 4.0.0+ are eligible (4.0.0 has limited inference, 4.1.0+ has full inference).
     *
     * @param modelVersion the model version to check
     * @return true if eligible for inference
     */

    Undefined,
    get_compat_model_name_map,
    get_definitions,
    get_schema_from_model_field,
    lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder
from fastapi.dependencies.models import Dependant
from fastapi.dependencies.utils import (
    _get_flat_fields_from_params,
    get_flat_dependant,
    get_flat_params,
    get_validation_alias,
)
from fastapi.encoders import jsonable_encoder

* Recuperar los datos almacenados.
* Poner esos datos en un modelo de Pydantic.
* Generar un `dict` sin valores por defecto del modelo de entrada (usando `exclude_unset`).
    * De esta manera puedes actualizar solo los valores realmente establecidos por el usuario, en lugar de sobrescribir valores ya almacenados con valores por defecto en tu modelo.

Sie sind jedoch nicht auf die Verwendung von bestimmten Datenmodellen, Klassen, oder Typen beschränkt.

Möchten Sie eine `id` und eine `email` und keinen `username` in Ihrem Modell haben? Kein Problem. Sie können dieselben Tools verwenden.

import java.io.IOException
import okhttp3.Headers
import okhttp3.internal.delimiterOffset
import okhttp3.internal.trimSubstring
import org.codehaus.mojo.animal_sniffer.IgnoreJRERequirement

/**
 * Models the contents of a `Sec-WebSocket-Extensions` response header. OkHttp honors one extension
 * `permessage-deflate` and four parameters, `client_max_window_bits`, `client_no_context_takeover`,

 * under the License.
 */
package org.apache.maven.model.building;

import java.io.File;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Properties;

import org.apache.maven.model.Model;
import org.apache.maven.model.Profile;
import org.apache.maven.model.resolution.ModelResolver;
import org.apache.maven.model.resolution.WorkspaceModelResolver;

/**