"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

jaystone776 <******@****.***> 1711934153 +0800

# Module okhttp-coroutines

#include "tensorflow/core/protobuf/saved_object_graph.pb.h"

namespace tf {
namespace libtf {
namespace impl {

// The main interface for taking a serialized saved model and getting back a
// fully-built model.
//
// Implementation steps:
//
//   1) For each function def in the SavedModel, register it with the runtime.
//   2) For each object in the object graph def, build it.

            "dependencyConstraints": [
                { "module": "m3", "group": "g3", "version": { "prefers": "v3" }},
                { "module": "m4", "version": { "requires": "v4", "strictly": "v4a", "rejects": ["v5"] }, "group": "g4"},
                { "module": "m5", "version": { "prefers": "v5", "rejects": ["v6", "v7"] }, "group": "g5"},
                { "module": "m6", "version": { "rejects": ["+"] }, "group": "g6"},

SwftAlpc <******@****.***> 1705332992 +0900

Alejandra <******@****.***> 1711071731 -0500