A **context manager** in Python is something that you can use in a `with` statement, for example, `open()` can be used as a context manager:

```Python
with open("file.txt") as file:
    file.read()
```

In recent versions of Python, there's also an **async context manager**. You would use it with `async with`:

```Python
async with lifespan(app):
    await do_stuff()
```

				Name:      expiryMissedTasks,
				Help:      "Number of object version expiry missed due to busy system",
				Type:      counterMetric,
			},
		}
		expMissedFreeVersions := MetricV2{
			Description: MetricDescription{
				Namespace: nodeMetricNamespace,
				Subsystem: ilmSubsystem,
				Name:      expiryMissedFreeVersions,
				Help:      "Number of free versions expiry missed due to busy system",
				Type:      counterMetric,

    async def bg(state: dict):
        state["bg"] = f"bg set - b: {state['context_b']} - a: {state['context_a']}"

    tasks.add_task(bg, state)
    return state


# Sync versions


@app.get("/sync_async")
def get_sync_async(state: str = Depends(asyncgen_state)):
    return state


@app.get("/sync_sync")
def get_sync_sync(state: str = Depends(generator_state)):

Dikkatinizi çekerim ki, yol parametresi integer olarak tanımlanmıştır.

///

## Standartlara Dayalı Avantajlar, Alternatif Dokümantasyon

Oluşturulan şema <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md" class="external-link" target="_blank">OpenAPI</a> standardına uygun olduğu için birçok uyumlu araç mevcuttur.

///

## Переваги стандартизації, альтернативна документація

І оскільки згенерована схема відповідає стандарту <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md" class="external-link" target="_blank">OpenAPI</a>, існує багато сумісних інструментів.

    export flags="--config=linux -k"
    ```

    If the tests are to be run on the GPU:

    *   For TensorFlow versions starting from v.2.18.0: Add the `cuda` option
        flag.

        ```bash
        export flags="--config=linux --config=cuda -k"
        ```

    *   For TensorFlow versions prior v.2.18.0: Add CUDA paths to
        LD_LIBRARY_PATH and add the `cuda` option flag.

        ```bash

- plugin execution error due to something that is not expected to go wrong (the compiler executable missing)
- asking to use a plugin for which you do not have a version defined - tools to easily select versions
- goal not found in a plugin (probably could list the ones that are)

 */

// PluginNotFoundException, PluginResolutionException, PluginDescriptorParsingException,

			}

			// Note: entry.fileInfoVersions returns versions sorted in reverse chronological order based on ModTime
			if opts.VersionsSort == WalkVersionsSortAsc {
				versionsSorter(fivs.Versions).reverse()
			}

			for _, version := range fivs.Versions {
				if opts.Filter != nil {
					if opts.Filter(version) {
						if !send(version.ToObjectInfo(bucket, version.Name, vcfg != nil && vcfg.Versioned(version.Name))) {

///

## Nützliche Standards, alternative Dokumentation { #standards-based-benefits-alternative-documentation }

Und weil das generierte Schema vom <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md" class="external-link" target="_blank">OpenAPI</a>-Standard kommt, gibt es viele kompatible Tools.

        return ComponentUtil.getPluginHelper().getArtifact(values[0], values[1]);
    }

    /**
     * Installs the specified artifact in a background thread.
     * Also removes any previously installed versions of the same plugin.
     *
     * @param artifact the artifact to install
     */
    public static void installArtifact(final Artifact artifact) {
        new Thread(() -> {