if err != nil {
			return nil, nil, fmt.Errorf("Drive %s: %w", export, err)
		}
		// Migrate successful v2 => v3, v3 is latest
		// version = formatXLVersionV3
		return migrate(formatPath, formatData)
	case formatErasureVersionV3:
		// v3 is the latest version, return.
		return formatData, formatFi, nil
	}
	return nil, nil, fmt.Errorf(`Disk %s: unknown format version %s`, export, version)
}

/// check | Надихнуло **FastAPI** на

Використовувати код для автоматичного визначення "схем", які надають типи даних і перевірку.

///

### [Webargs](https://webargs.readthedocs.io/en/latest/) { #webargs }

Іншою важливою функцією, необхідною для API, є <dfn title="читання та перетворення на дані Python">аналіз</dfn> даних із вхідних запитів.

// Streaming signature clients can have custom content-encoding such as
// `aws-chunked,gzip` here we need to only save `gzip`.
// For more refer http://docs.aws.amazon.com/AmazonS3/latest/API/sigv4-streaming.html
func trimAwsChunkedContentEncoding(contentEnc string) (trimmedContentEnc string) {
	if contentEnc == "" {
		return contentEnc
	}
	var newEncs []string

Це можна досягти за допомогою [Pydantic's `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator) в середині `Annotated`.

/// tip | Порада

Pydantic також має [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) та інші. 🤓

///

        // it refers to a snapshot artifact or meta-version.
        // NOTE: Release metadata includes version information about artifacts that have been released, to allow
        // meta-versions like RELEASE and LATEST to resolve, and also to allow retrieval of the range of valid, released
        // artifacts available.
        ArtifactRepositoryPolicy policy = metadata.getPolicy(repository);

        if (!policy.isEnabled()) {

`str`, `int`, `float` vb. normal tekil tiplerin yanında, `str`’den türeyen daha karmaşık tekil tipleri de kullanabilirsiniz.

Tüm seçenekleri görmek için [Pydantic Türlerine Genel Bakış](https://docs.pydantic.dev/latest/concepts/types/) sayfasına göz atın. Sonraki bölümde bazı örnekleri göreceksiniz.

/// check | Inspiró a **FastAPI** a

Usar código para definir "esquemas" que proporcionen tipos de datos y validación automáticamente.

///

### [Webargs](https://webargs.readthedocs.io/en/latest/) { #webargs }

Otra gran funcionalidad requerida por las APIs es el <dfn title="lectura y conversión a datos de Python">parsing</dfn> de datos de las requests entrantes.

/// check | Inspirou o **FastAPI** a

Usar código para definir "schemas" que forneçam, automaticamente, tipos de dados e validação.

///

### [Webargs](https://webargs.readthedocs.io/en/latest/) { #webargs }

Outra grande funcionalidade requerida pelas APIs é o <dfn title="ler e converter para dados do Python">parsing</dfn> de dados vindos de requisições de entrada.

To do that, use the standard Python type hint [`typing.Union`](https://docs.python.org/3/library/typing.html#typing.Union):

/// note

When defining a [`Union`](https://docs.pydantic.dev/latest/concepts/types/#unions), include the most specific type first, followed by the less specific type. In the example below, the more specific `PlaneItem` comes before `CarItem` in `Union[PlaneItem, CarItem]`.

///

Para ver todas as opções possíveis, consulte a [Visão geral dos tipos do Pydantic](https://docs.pydantic.dev/latest/concepts/types/). Você verá alguns exemplos no próximo capítulo.

Por exemplo, no modelo `Image` nós temos um campo `url`, nós podemos declará-lo como um `HttpUrl` do Pydantic invés de como uma `str`: