### Recap { #recap }

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

You don't have to learn a new syntax, the methods or classes of a specific library, etc.

Just standard **Python**.

For example, for an `int`:

```Python
item_id: int
```

func ExampleTrimSpace() {
	fmt.Printf("%s", bytes.TrimSpace([]byte(" \t\n a lone gopher \n\t\r\n")))
	// Output: a lone gopher
}

func ExampleTrimSuffix() {
	var b = []byte("Hello, goodbye, etc!")
	b = bytes.TrimSuffix(b, []byte("goodbye, etc!"))
	b = bytes.TrimSuffix(b, []byte("gopher"))
	b = append(b, bytes.TrimSuffix([]byte("world!"), []byte("x!"))...)
	os.Stdout.Write(b)
	// Output: Hello, world!
}

Isso não faz diferença para o **FastAPI**. Ele vai detectar os parâmetros pelos seus nomes, tipos e definições padrão (`Query`, `Path`, etc), sem se importar com a ordem.

Então, você pode declarar sua função assim:

{* ../../docs_src/path_params_numeric_validations/tutorial002.py hl[7] *}

## Ordene os parâmetros de a acordo com sua necessidade, truques

    /**
     * Shortcut for {@code getService(DependencyResolver.class).flatten(...)}.
     *
     * @param node node for which to get a flattened list
     * @param scope build path scope (main compile, test compile, etc.) of desired nodes
     * @return flattened list of node with the given build path scope
     * @throws org.apache.maven.api.services.DependencyResolverException if the dependency flattening failed
     *

### Recap { #recap }

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

You don't have to learn a new syntax, the methods or classes of a specific library, etc.

Just standard **Python**.

For example, for an `int`:

```Python
item_id: int
```

 * **Route**: address, proxy, socketAddress
 * **TlsVersion**: javaName

#### Renamed Functions

* **Headers.of()**: for symmetry with `listOf()`, `setOf()`, etc., we’ve replaced
  `Headers.of(String...)` with `headersOf(vararg String)`.

#### Extension Functions

We’ve migrated from static functions to extension functions where we think they fit.

There's a high chance that the logic for your *startup* and *shutdown* is connected, you might want to start something and then finish it, acquire a resource and then release it, etc.

Doing that in separated functions that don't share logic or variables together is more difficult as you would need to store values in global variables or similar tricks.

Environment variables could be useful for handling application **settings**, as part of the **installation** of Python, etc.

## Create and Use Env Vars { #create-and-use-env-vars }

You can **create** and use environment variables in the **shell (terminal)**, without needing Python:

//// tab | Linux, macOS, Windows Bash

### `startup` e `shutdown` juntos

Há uma grande chance que a lógica para sua *inicialização* e *encerramento* esteja conectada, você pode querer iniciar alguma coisa e então finalizá-la, adquirir um recurso e então liberá-lo, etc.

Fazendo isso em funções separadas que não compartilham lógica ou variáveis entre elas é mais difícil já que você precisa armazenar os valores em variáveis globais ou truques parecidos.

from a specific object, for example placed at `ALIAS/bucket/path/to/file.txt` append `/xl.meta`, for instance `mc support inspect ALIAS/bucket/path/to/file.txt/xl.meta`. All files can be collected, so this can also be used to retrieve `part.*` files, etc.

Wildcards can be used, for example `mc support inspect ALIAS/bucket/path/**/xl.meta` will collect all `xl.meta` recursively. `mc support inspect ALIAS/bucket/path/to/file.txt/*/part.*` will collect parts for all versions for the object located...