}

// 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:

즉, Python에서 환경 변수로부터 읽어온 어떤 값이든 `str`이 되며, 다른 타입으로의 변환이나 검증은 코드에서 수행해야 합니다.

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

다행히 Pydantic은 환경 변수에서 오는 이러한 설정을 처리할 수 있는 훌륭한 유틸리티를 [Pydantic: Settings 관리](https://docs.pydantic.dev/latest/concepts/pydantic_settings/)로 제공합니다.

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

먼저 [가상 환경](../virtual-environments.md)을 만들고 활성화한 다음, `pydantic-settings` 패키지를 설치하세요:

<div class="termy">

這表示在 Python 中自環境變數讀取到的任何值都會是 `str`，而任何轉型成其他型別或驗證都必須在程式碼中完成。

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

幸好，Pydantic 提供了很好的工具，可用來處理由環境變數而來的設定：[Pydantic：設定管理](https://docs.pydantic.dev/latest/concepts/pydantic_settings/)。

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

首先，請先建立你的[虛擬環境](../virtual-environments.md)，啟用它，然後安裝 `pydantic-settings` 套件：

<div class="termy">

```console

		if versionID == "" {
			versionID = mustGetUUID()
			fi.IsLatest = true // we are creating a new version so this is latest.
		}
	}

	modTime = UTCNow() // We only preserve modTime if dstOpts.MTime is true.
	// in all other cases mtime is latest.

	fi.VersionID = versionID // set any new versionID we might have created
	fi.ModTime = modTime     // set modTime for the new versionID

{* ../../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

    ports:
      - "127.0.0.1:9920:5432"
    environment:
      - TZ=Asia/Shanghai
      - POSTGRES_DB=gorm
      - POSTGRES_USER=gorm
      - POSTGRES_PASSWORD=gorm
  mssql:
    image: '${MSSQL_IMAGE}:latest'
    ports:
      - "127.0.0.1:9930:1433"
    environment:
      - TZ=Asia/Shanghai
      - ACCEPT_EULA=Y
      - MSSQL_SA_PASSWORD=LoremIpsum86
  tidb:
    image: 'pingcap/tidb:v6.5.0'
    ports:

name: Creates a GitHub Issue when a PR Rolled back via Commit to Master
on:
  push:
    branches:
      - master
      
permissions: {}

jobs:
  create-issue-on-pr-rollback:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      issues: write
      pull-requests: read
    if: |
      github.repository == 'tensorflow/tensorflow' &&

  pull_request:
    # The branches below must be a subset of the branches above
    branches: [master]
  schedule:
    - cron: '0 11 * * 4'

jobs:
  analyze:
    name: Analyze
    runs-on: ubuntu-latest

    strategy:
      fail-fast: false
      matrix:
        # Override automatic language detection by changing the below list
        # Supported options are ['csharp', 'cpp', 'go', 'java', 'javascript', 'python']