)

// initDataScanner will start the scanner in the background.
func initDataScanner(ctx context.Context, objAPI ObjectLayer) {
	go func() {
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		// Run the data scanner in a loop
		for {
			runDataScanner(ctx, objAPI)
			duration := time.Duration(r.Float64() * float64(scannerCycle.Load()))
			if duration < time.Second {

# Extra Data Types

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types

		hashPathCutSet = dataUsageRoot + string(filepath.Separator)
	}
}

// hashPath calculates a hash of the provided string.
func hashPath(data string) dataUsageHash {
	if data != dataUsageRoot {
		data = strings.Trim(data, hashPathCutSet)
	}
	return dataUsageHash(path.Clean(data))
}

//msgp:ignore dataUsageHashMap
type dataUsageHashMap map[string]struct{}

// DecodeMsg implements msgp.Decodable

    {!> ../../../docs_src/extra_data_types/tutorial001.py!}
    ```

=== "🐍 3️⃣.1️⃣0️⃣ & 🔛"

    ```Python hl_lines="1  2  11-15"
    {!> ../../../docs_src/extra_data_types/tutorial001_py310.py!}
    ```

🗒 👈 🔢 🔘 🔢 ✔️ 👫 🐠 💽 🆎, & 👆 💪, 🖼, 🎭 😐 📅 🎭, 💖:

=== "🐍 3️⃣.6️⃣ & 🔛"

    ```Python hl_lines="18-19"
    {!> ../../../docs_src/extra_data_types/tutorial001.py!}
    ```

## 例子

下面是一个*路径操作*的示例，其中的参数使用了上面的一些类型。

=== "Python 3.10+"

    ```Python hl_lines="1  3  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="1  3  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    {!> ../../../docs_src/extra_data_types/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="1  3  13-17"
    {!> ../../../docs_src/extra_data_types/tutorial001_an.py!}
    ```

=== "Python 3.10+ nicht annotiert"

    !!! tip
        Bevorzugen Sie die `Annotated`-Version, falls möglich.

    ```Python hl_lines="1  2  11-15"
    {!> ../../../docs_src/extra_data_types/tutorial001_py310.py!}
    ```

    ```Python hl_lines="1  3  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="1  3  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="1  3  13-17"
    {!> ../../../docs_src/extra_data_types/tutorial001_an.py!}
    ```

=== "Python 3.10+ non-Annotated"

=== "Python 3.8 и выше"

    ```Python hl_lines="1  3  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001.py!}
    ```

=== "Python 3.10 и выше"

    ```Python hl_lines="1  2  11-15"
    {!> ../../../docs_src/extra_data_types/tutorial001_py310.py!}
    ```

```Python hl_lines="1  3  12-16"
{!../../../docs_src/extra_data_types/tutorial001.py!}
```

Note que os parâmetros dentro da função tem seu tipo de dados natural, e você pode, por exemplo, realizar manipulações normais de data, como:

```Python hl_lines="18-19"
{!../../../docs_src/extra_data_types/tutorial001.py!}

}

// DataUsageInfo represents data usage stats of the underlying Object API
type DataUsageInfo struct {
	TotalCapacity     uint64 `json:"capacity,omitempty"`
	TotalUsedCapacity uint64 `json:"usedCapacity,omitempty"`
	TotalFreeCapacity uint64 `json:"freeCapacity,omitempty"`

	// LastUpdate is the timestamp of when the data usage info was last updated.
	// This does not indicate a full scan.