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()
```

    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)):

        }
        return extensions
    }

    def mergeContent(Element typeTable, DslDocModel model) {
        def title = typeTable.title[0].text()

        //TODO below checks makes it harder to add new sections
        //because the new section will work correctly only when the section title ends with 'types' :)
        if (title.matches('(?i).* types')) {
            mergeTypes(typeTable, model)

        return bwcEnabled == null || (Boolean) bwcEnabled;
    }

    // TODO: implement custom extension that allows us move around of the projects between major versions and still find them
    private Path getCompatProjectPath(Project project, Path checkoutDir) {
        return checkoutDir.resolve(project.getPath().replaceFirst(":", "").replace(":", File.separator));
    }

        });
    }

    public BwcGitExtension getGitExtension() {
        return gitExtension;
    }

    /**
     * We use a time based approach to make the bwc versions built deterministic and compatible with the current hash.
     * Most of the time we want to test against latest, but when running delayed exhaustive tests or wanting

    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

  url: https://github.com/roli2py
Serrones:
  login: Serrones
  count: 7
  avatarUrl: https://avatars.githubusercontent.com/u/22691749?u=4795b880e13ca33a73e52fc0ef7dc9c60c8fce47&v=4
  url: https://github.com/Serrones
israteneda:
  login: israteneda
  count: 7

in order to avoid inconsistency the Agreement is copyrighted and may only
be modified in the following manner. The Agreement Steward reserves the right
to publish new versions (including revisions) of this Agreement from time
to time. No one other than the Agreement Steward has the right to modify this
Agreement. The Eclipse Foundation is the initial Agreement Steward. The Eclipse

- 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,
// CycleDetectedInPluginGraphException;

/**

///

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

Und weil das generierte Schema vom [OpenAPI](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md)-Standard kommt, gibt es viele kompatible Tools.