func (sp *SelectParameters) IsEmpty() bool {
	return sp == nil
}

var selectParamsXMLName = "SelectParameters"

// UnmarshalXML - decodes XML data.
func (sp *SelectParameters) UnmarshalXML(d *xml.Decoder, start xml.StartElement) error {
	// Essentially the same as S3Select barring the xml name.
	if start.Name.Local == selectParamsXMLName {

    routes were omitted for eagerly-closed connections.

## Version 3.9.1

_2017-11-18_

 *  New: Recover gracefully when Android's DNS crashes with an unexpected
    `NullPointerException`.
 *  New: Recover gracefully when Android's socket connections crash with an
    unexpected `ClassCastException`.
 *  Fix: Don't include the URL's fragment in `encodedQuery()` when the query

		return 0
	}
	var sameDataDirCount int
	var decoded xlMetaDataDirDecoder
	for _, version := range x.versions {
		if version.header.Type != ObjectType || version.header.VersionID == versionID || !version.header.UsesDataDir() {
			continue
		}
		_, err := decoded.UnmarshalMsg(version.meta)
		if err != nil || decoded.ObjectV2 == nil || decoded.ObjectV2.DataDir != dataDir {
			continue
		}

Вона приймає об'єкт, такий як Pydantic model, і повертає його версію, сумісну з JSON:

//// tab | Python 3.10+

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

У цьому прикладі вона конвертує Pydantic model у `dict`, а `datetime` у `str`.

//// tab | Python 3.10+

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

In diesem Beispiel wird das Pydantic-Modell in ein `dict`, und das `datetime`-Objekt in ein `str` konvertiert.

//// tab | Python 3.10+

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

//// tab | Python 3.6+

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

В данном примере она преобразует Pydantic модель в `dict`, а `datetime` - в `str`.

同様に、このデータベースはPydanticモデル（属性を持つオブジェクト）を受け取らず、`dict`だけを受け取ります。

そのために`jsonable_encoder`を使用することができます。

Pydanticモデルのようなオブジェクトを受け取り、JSON互換版を返します:

```Python hl_lines="5 22"
{!../../docs_src/encoder/tutorial001.py!}
```

この例では、Pydanticモデルを`dict`に、`datetime`を`str`に変換します。

	}

	// If we cannot decode, just return read quorum error.
	return nil, fmt.Errorf("%w (offline-disks=%d/%d)", errErasureReadQuorum, disksNotFound, len(p.readers))
}

// Decode reads from readers, reconstructs data if needed and writes the data to the writer.
// A set of preferred drives can be supplied. In that case they will be used and the data reconstructed.

⚫️ 📨 🎚, 💖 Pydantic 🏷, & 📨 🎻 🔗 ⏬:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

👉 🖼, ⚫️ 🔜 🗜 Pydantic 🏷 `dict`, & `datetime` `str`.

# JSON Compatible Encoder

There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).

For example, if you need to store it in a database.

For that, **FastAPI** provides a `jsonable_encoder()` function.

## Using the `jsonable_encoder`

Let's imagine that you have a database `fake_db` that only receives JSON compatible data.