distribution = true

[tool.pdm.build]
source-includes = [
    "tests/",
    "docs_src/",
    "requirements*.txt",
    "scripts/",
    # For a test
    "docs/en/docs/img/favicon.png",
    ]

[tool.tiangolo._internal-slim-build.packages.fastapi-slim.project]
name = "fastapi-slim"

[tool.mypy]
plugins = ["pydantic.mypy"]
strict = true

## Verifique a documentação automática da API { #check-the-automatic-api-docs }

Agora, execute sua aplicação:

<div class="termy">

```console
$ fastapi dev app/main.py

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

E abra os documentos em <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

Pour l'analyseur de recherche/index, si [doc.json](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_indices/fess/doc.json) contient lang\_[lang] pour votre langue, veuillez modifier l'analyseur pour votre langue. Pour plus de détails sur les analyseurs, consultez la [documentation OpenSearch](https://opensearch.org/docs/latest/analyzers/search-analyzers/).

Para o analisador de busca/índice, se [doc.json](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_indices/fess/doc.json) contiver lang\_[lang] para o seu idioma, por favor, modifique o analisador para o seu idioma. Para mais detalhes sobre Analisadores, veja a [documentação do OpenSearch](https://opensearch.org/docs/latest/analyzers/search-analyzers/).

Aceitamos pull requests para o seu idioma.

        if (descriptor.language === Language.JAVA && descriptor.componentType === ComponentType.LIBRARY) {
            generateReadmeFragment(templateFolder, "$specificContentId-api-docs", settings, comments, descriptor, projectLayoutSetupRegistry)
        }
        generateReadmeFragment(templateFolder, "common-summary", settings, comments, descriptor, projectLayoutSetupRegistry)

Für den Such-/Index-Analyser: Wenn [doc.json](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_indices/fess/doc.json) lang\_[lang] für Ihre Sprache enthält, passen Sie bitte den Analyser für Ihre Sprache an. Weitere Informationen zu Analysatoren finden Sie in der [OpenSearch-Dokumentation](https://opensearch.org/docs/latest/analyzers/search-analyzers/).

Wir begrüßen Pull-Requests für Ihre Sprache.

* [fess_message_en.properties](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_message_en.properties)

对于搜索/索引分析器，如果 [doc.json](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_indices/fess/doc.json) 包含您语言的 lang\_[lang]，请为您的语言修改分析器。有关分析器的更多详细信息，请参阅 [OpenSearch 文档](https://opensearch.org/docs/latest/analyzers/search-analyzers/)。

我们欢迎您的语言的 Pull Request。

### 翻译

- [English](../../README.md)

			continue
		}

		var isSet bool
		for _, userMetadataPrefix := range userMetadataKeyPrefixes {
			if !stringsHasPrefixFold(k, userMetadataPrefix) {
				continue
			}
			// check the doc https://docs.aws.amazon.com/AmazonS3/latest/userguide/UsingMetadata.html
			// For metadata values like "ö", "ÄMÄZÕÑ S3", and "öha, das sollte eigentlich
			// funktionieren", tested against a real AWS S3 bucket, S3 may encode incorrectly. For

This document focuses on showing a working example on how to use Object Lambda with MinIO, you must have [MinIO deployed in your environment](https://docs.min.io/community/minio-object-store/operations/installation.html) before you can start using external lambda functions. You also must install Python version 3.8 or later for the lambda handlers to work.

## Example Lambda handler

      MultipartBody
        .Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("title", "Square Logo")
        .addFormDataPart(
          "image",
          "logo-square.png",
          File("docs/images/logo-square.png").asRequestBody(MEDIA_TYPE_PNG),
        ).build()

    val request =
      Request
        .Builder()
        .header("Authorization", "Client-ID $IMGUR_CLIENT_ID")