return false;
        }
        Module module = (Module) o;
        return Objects.equal(dependencies, module.dependencies)
            && Objects.equal(excludeFolders, module.excludeFolders)
            && Objects.equal(outputDir, module.outputDir)
            && Objects.equal(sourceFolders, module.sourceFolders)
            && Objects.equal(generatedSourceFolders, module.generatedSourceFolders)

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/cc/experimental/libtf/module.h"

#include <string>

#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/protobuf/saved_object_graph.pb.h"
namespace tf {
namespace libtf {
namespace impl {

## ドキュメントを見る

自動ドキュメントを見ると、入力モデルと出力モデルがそれぞれ独自のJSON Schemaを持っていることが確認できます。

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

そして、両方のモデルは、対話型のAPIドキュメントに使用されます:

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

## レスポンスモデルのエンコーディングパラメータ

レスポンスモデルにはデフォルト値を設定することができます:

```Python hl_lines="11 13 14"

    /**
     * Returns the modules required by this module.
     */
    Set<Module> getRequiredModules();

    /**
     * Returns the transitive closure of all modules required by this module, including the module itself.
     */
    Set<Module> getAllRequiredModules();

    /**
     * Returns the implementation + runtime classpath of the transitive closure of all modules required by this module, including the module itself.
     */

John Howard <******@****.***> 1685555460 -0700

## See it in the docs

When you see the automatic docs, you can check that the input model and output model will both have their own JSON Schema:

<img src="/img/tutorial/response-model/image01.png">

And both models will be used for the interactive API documentation:

<img src="/img/tutorial/response-model/image02.png">

## Other Return Type Annotations

따라서 **FastAPI**는 출력 모델에서 선언하지 않은 모든 데이터를 (Pydantic을 사용하여) 필터링합니다.

## 문서에서 보기

자동 생성 문서를 보면 입력 모델과 출력 모델이 각자의 JSON 스키마를 가지고 있음을 확인할 수 있습니다:

<img src="/img/tutorial/response-model/image01.png">

그리고 두 모델 모두 대화형 API 문서에 사용됩니다:

<img src="/img/tutorial/response-model/image02.png">

## 응답 모델 인코딩 매개변수

응답 모델은 아래와 같이 기본값을 가질 수 있습니다:

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

          "module": "jsr305",
          "version": {
            "requires": "${jsr305.version}"
          }
        },
        {
          "group": "org.checkerframework",
          "module": "checker-qual",
          "version": {
            "requires": "${checker.version}"
          }
        },
        {
          "group": "com.google.errorprone",
          "module": "error_prone_annotations",

// Copyright 2018 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Package module defines the module.Version type along with support code.
//
// The [module.Version] type is a simple Path, Version pair:
//
//	type Version struct {
//		Path string
//		Version string
//	}
//
// There are no restrictions imposed directly by use of this structure,

# Module gradle

# Kotlin DSL Reference for Gradle

Gradle’s Kotlin DSL provides an enhanced editing experience in supported IDEs, with superior content assistance, refactoring, documentation, and more.
For an introduction see the <a href="../userguide/kotlin_dsl.html">Kotlin DSL Primer</a>.

The Kotlin DSL is implemented on top of Gradle’s Java API.