}

type ruleList struct {
	rules []*rule
}

// Model represents a single rule from an authorization policy. The conditions of the rule are consolidated into
// permission or principal to align with the Envoy RBAC filter API.
type Model struct {
	permissions []ruleList
	principals  []ruleList
}

// New returns a model representing a single authorization policy.

 * limitations under the License.
 */

package org.gradle.tooling.model;

// TODO:ADAM - Deprecate
/**
 * A model that is buildable by the Tooling API. Models contain various information regarding the build.
 * Models are typically tailored to a specific domain, for example build environment or IDE.
 *
 * @since 1.0-milestone-8
 */

package v3

import (
	"istio.io/istio/pkg/model"
)

const (
	ClusterType                = model.ClusterType
	EndpointType               = model.EndpointType
	ListenerType               = model.ListenerType
	RouteType                  = model.RouteType
	SecretType                 = model.SecretType
	ExtensionConfigurationType = model.ExtensionConfigurationType
	NameTableType              = model.NameTableType

Et nous analysons directement ce contenu YAML, puis nous utilisons à nouveau le même modèle Pydantic pour valider le contenu YAML :

```Python hl_lines="26-33"
{!../../../docs_src/path_operation_advanced_configuration/tutorial007.py!}
```

!!! tip "Astuce"
    Ici, nous réutilisons le même modèle Pydantic.

                { "module": "m5", "version": { "prefers": "v5", "rejects": ["v6", "v7"] }, "group": "g5"},
                { "module": "m6", "version": { "rejects": ["v8"] }, "group": "g6"},
                { "module": "m7", "version": { "rejects": ["v7"] }, "group": "g7", "reason": "v7 is buggy"},
                { "module": "m8", "version": { "strictly": "v8" }, "group": "g8"},

    "variants": [
        {
            "name": "api",
            "attributes": { "usage": "compile" },
            "files": [ { "name": "a.zip", "url": "a.zop" } ],
            "dependencies": [ { "group": "g1", "module": "m1", "version": { "prefers": "v1" } } ]
        }
    ]

Tom Tresansky <******@****.***> 1696954098 -0400

## 在文档中查看

当你查看自动化文档时，你可以检查输入模型和输出模型是否都具有自己的 JSON Schema：

<img src="https://fastapi.tiangolo.com/img/tutorial/response-model/image01.png">

并且两种模型都将在交互式 API 文档中使用：

<img src="https://fastapi.tiangolo.com/img/tutorial/response-model/image02.png">

## 响应模型编码参数

你的响应模型可以具有默认值，例如：

```Python hl_lines="11  13-14"
{!../../../docs_src/response_model/tutorial004.py!}
```

Nils Lindemann <******@****.***> 1713469999 +0200

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

import java.io.InputStream;
import java.io.StringReader;

import org.apache.maven.api.model.InputLocation;
import org.apache.maven.api.model.InputSource;
import org.apache.maven.api.model.Model;
import org.apache.maven.model.v4.MavenMerger;
import org.apache.maven.model.v4.MavenStaxReader;
import org.junit.jupiter.api.Test;