which has no dependencies on uninitialized variables.
</p>

<p>
More precisely, a package-level variable is considered <i>ready for
initialization</i> if it is not yet initialized and either has
no <a href="#Variable_declarations">initialization expression</a> or
its initialization expression has no <i>dependencies</i> on uninitialized variables.

Então ele constrói todos aqueles _sites_ independentes MkDocs para cada linguagem, combina eles, e gera a saída final em `./site/`.

Então você poderá "servir" eles com o comando `serve`:

<div class="termy">

```console

        "//tensorflow/cc:scope",
        "//tensorflow/core:tensorflow",
        "//tensorflow/core/data:standalone",
        # Exports for pywrap_tensorflow_internal. Many of these are transitive
        # dependencies of the above, but must be explicitly listed for
        # cc_shared_library to work.
        "//tensorflow/c/eager:c_api_experimental",
        "//tensorflow/c/eager:c_api_internal",

Using `check_same_thread=False` allows FastAPI to use the same SQLite database in different threads. This is necessary as **one single request** could use **more than one thread** (for example in dependencies).

Don't worry, with the way the code is structured, we'll make sure we use **a single SQLModel *session* per request** later, this is actually what the `check_same_thread` is trying to achieve.

### Create the Tables

After activating the environment, install the required packages:

<div class="termy">

```console
$ pip install -r requirements.txt

---> 100%
```

</div>

It will install all the dependencies and your local FastAPI in your local environment.

### Using your local FastAPI

* **Editor ondersteuning**.
* **Type checks**.

...en **FastAPI** gebruikt dezelfde declaraties om:

* **Vereisten te definïeren **: van request pad parameters, query parameters, headers, bodies, dependencies, enz.
* **Data te converteren**: van de request naar het vereiste type.
* **Data te valideren**: afkomstig van elke request:

---

Ejemplos típicos de operaciones dependientes de CPU son cosas que requieren un procesamiento matemático complejo.

Por ejemplo:

* **Audio** o **procesamiento de imágenes**.

func (m Migrator) CurrentDatabase() (name string) {
	m.DB.Raw("SELECT DATABASE()").Row().Scan(&name)
	return
}

// ReorderModels reorder models according to constraint dependencies
func (m Migrator) ReorderModels(values []interface{}, autoAdd bool) (results []interface{}) {
	type Dependency struct {
		*gorm.Statement
		Depends []*schema.Schema
	}

	var (

Pour en savoir plus, consultez la section <a href="https://fastapi.tiangolo.com/fr/benchmarks/" class="internal-link" target="_blank">Benchmarks</a>.

## Dépendances facultatives

Utilisées par Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - pour la validation des adresses email.

* **Editor support**.
* **Type checks**.

...and **FastAPI** uses the same declarations to:

* **Define requirements**: from request path parameters, query parameters, headers, bodies, dependencies, etc.
* **Convert data**: from the request to the required type.
* **Validate data**: coming from each request:
    * Generating **automatic errors** returned to the client when the data is invalid.