### 追加のオプション依存関係 { #additional-optional-dependencies }

追加でインストールしたい依存関係があります。

追加のオプション Pydantic 依存関係:

* [`pydantic-settings`](https://docs.pydantic.dev/latest/usage/pydantic_settings/) - 設定管理のため。
* [`pydantic-extra-types`](https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/) - Pydantic で使用する追加の型のため。

追加のオプション FastAPI 依存関係:

* [`orjson`](https://github.com/ijl/orjson) - `ORJSONResponse` を使用したい場合に必要です。

There are some additional dependencies you might want to install.

Additional optional Pydantic dependencies:

* [`pydantic-settings`](https://docs.pydantic.dev/latest/usage/pydantic_settings/) - for settings management.
* [`pydantic-extra-types`](https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/) - for extra types to be used with Pydantic.

Additional optional FastAPI dependencies:

### 額外可選依賴套件 { #additional-optional-dependencies }

有些額外依賴你可能也會想安裝。

Pydantic 的額外可選依賴：

* [`pydantic-settings`](https://docs.pydantic.dev/latest/usage/pydantic_settings/) - 設定管理。
* [`pydantic-extra-types`](https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/) - 與 Pydantic 一起使用的額外型別。

FastAPI 的額外可選依賴：

* [`orjson`](https://github.com/ijl/orjson) - 若要使用 `ORJSONResponse` 必須安裝。

## Pydantic `Settings` { #pydantic-settings }

Heureusement, Pydantic fournit un excellent utilitaire pour gérer ces paramètres provenant des variables d'environnement avec [Pydantic : gestion des paramètres](https://docs.pydantic.dev/latest/concepts/pydantic_settings/).

### Installer `pydantic-settings` { #install-pydantic-settings }

}

// Validate - validates the And field
func (a And) Validate() error {
	// > This is used in a Lifecycle Rule Filter to apply a logical AND to two or more predicates.
	// ref: https://docs.aws.amazon.com/AmazonS3/latest/API/API_LifecycleRuleAndOperator.html
	// i.e, predCount >= 2
	var predCount int
	if a.Prefix.set {
		predCount++
	}
	predCount += len(a.Tags)
	if a.ObjectSizeGreaterThan > 0 {
		predCount++
	}

        type: string

permissions:
  contents: read

jobs:
  cherrypick:
    name: Cherrypick to ${{ github.event.inputs.release_branch}} - ${{ github.event.inputs.git_commit }}
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    steps:
    - name: Checkout code
      uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1
      with:

        item.setNewInput("new");
        assertEquals("new", item.toLineString());
    }

    @Test
    public void test_getId() {
        // Test getId method from parent class
        StopwordsItem item1 = new StopwordsItem(0, "word1");
        assertEquals(0, item1.getId());

        StopwordsItem item2 = new StopwordsItem(999, "word2");
        assertEquals(999, item2.getId());

            // Validate inputs
            if (thumbnailId == null || thumbnailId.isEmpty() || outputFile == null) {
                return false;
            }

            // Check if parent directory is writable
            File parentDir = outputFile.getParentFile();
            if (parentDir != null && !parentDir.canWrite()) {
                return false;
            }

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

이는 **Pydantic** 덕분에 여전히 지원되는데, Pydantic이 [`dataclasses`에 대한 내부 지원](https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel)을 제공하기 때문입니다.

따라서 위 코드처럼 Pydantic을 명시적으로 사용하지 않더라도, FastAPI는 Pydantic을 사용해 표준 dataclasses를 Pydantic의 dataclasses 변형으로 변환합니다.

그리고 물론 다음과 같은 기능도 동일하게 지원합니다:

	// See https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketLifecycle.html
	// In the newer PutBucketLifecycleConfiguration API, Rule has a prefix field that is deprecated, and there exists an optional
	// Filter field, and within it, an optional Prefix field.
	// See https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketLifecycleConfiguration.html