meal.digestFlowSchemasLocked(newFSs)
	meal.processOldPLsLocked()

	// Supply missing mandatory PriorityLevelConfiguration objects
	if !meal.haveExemptPL {
		meal.imaginePL(fcboot.MandatoryPriorityLevelConfigurationExempt)
	}
	if !meal.haveCatchAllPL {
		meal.imaginePL(fcboot.MandatoryPriorityLevelConfigurationCatchAll)
	}

	meal.finishQueueSetReconfigsLocked()

	// The new config has been constructed

## An app with callbacks

Let's see all this with an example.

Imagine you develop an app that allows creating invoices.

These invoices will have an `id`, `title` (optional), `customer`, and `total`.

The user of your API (an external developer) will create an invoice in your API with a POST request.

Then your API will (let's imagine):

* Send the invoice to some customer of the external developer.
* Collect the money.

But in some cases you need to return a different status code than the default.

## Use case

For example, imagine that you want to return an HTTP status code of "OK" `200` by default.

But if the data didn't exist, you want to create it, and return an HTTP status code of "CREATED" `201`.

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.

For example, it doesn't receive `datetime` objects, as those are not compatible with JSON.

                abstract Property<StagingRepositoryDescriptorRegistryBuildService> getRepositoryRegistry()

                @TaskAction
                void initializeRepository() {
                    // Imagine this is hitting some webservice to calculate a new URL
                    repositoryRegistry.get().url = "${repo2.uri}"
                }
            }
            task initializeRepository(type: InitializeRepository) {

## Use Case

Let's start with an example **use case** and then see how to solve it with this.

Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

To make sure that you are aware of such upgrades, Gradle provides a mode that can be activated in the resolution strategy of a configuration.
Imagine the following dependencies declaration:

.Direct dependency version not matching a transitive version
====

Being able to use asynchronous functions in your tests could be useful, for example, when you're querying your database asynchronously. Imagine you want to test sending requests to your FastAPI application and then verify that your backend successfully wrote the correct data in the database, while using an async database library.

Let's look at how we can make that work.

* Concatène les résultats avec un espace entre les deux.

```Python hl_lines="2"
{!../../../docs_src/python_types/tutorial001.py!}
```

### Limitations

C'est un programme très simple.

Mais maintenant imaginez que vous l'écriviez de zéro.

À un certain point vous auriez commencé la définition de la fonction, vous aviez les paramètres prêts.

Mais vous aviez besoin de "cette méthode qui convertit la première lettre en majuscule".

        companies, or even industries — utilities useful for a sizable proportion of all Java
        programmers everywhere. If you can give enough detail such that any of us can imagine coming
        across a similar need in our own work, that's extremely helpful in studying how broadly
        useful the proposed change will be.

  - type: textarea
    attributes:
      label: Concrete Use Cases