At that point, by noticing that the server took some microseconds longer to send the "Incorrect username or password" response, the attackers will know that they got _something_ right, some of the initial letters were right.

And then they can try again knowing that it's probably something more similar to `stanleyjobsox` than to `johndoe`.

#### A "professional" attack { #a-professional-attack }

Asynchronous code just means that the language 💬 has a way to tell the computer / program 🤖 that at some point in the code, it 🤖 will have to wait for *something else* to finish somewhere else. Let's say that *something else* is called "slow-file" 📝.

So, during that time, the computer can go and do some other work, while "slow-file" 📝 finishes.

В Python "**вызываемый**" - это все, что Python может "вызвать", как функцию.

Так, если у вас есть объект `something` (который может _не_ быть функцией) и вы можете "вызвать" его (выполнить) как:

```Python
something()
```

или

```Python
something(some_argument, some_keyword_argument="foo")
```

в таком случае он является "вызываемым".

## Классы как зависимости

If you check, the function is decorated with an `@asynccontextmanager`.

That converts the function into something called an "**async context manager**".

{* ../../docs_src/events/tutorial003.py hl[1,13] *}

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:

🆙 🔜 👆 ✔️ 👀 🔗 📣 🔢.

✋️ 👈 🚫 🕴 🌌 📣 🔗 (👐 ⚫️ 🔜 🎲 🌖 ⚠).

🔑 ⚖ 👈 🔗 🔜 "🇧🇲".

"**🇧🇲**" 🐍 🕳 👈 🐍 💪 "🤙" 💖 🔢.

, 🚥 👆 ✔️ 🎚 `something` (👈 💪 _🚫_ 🔢) & 👆 💪 "🤙" ⚫️ (🛠️ ⚫️) 💖:

```Python
something()
```

⚖️

```Python
something(some_argument, some_keyword_argument="foo")
```

⤴️ ⚫️ "🇧🇲".

## 🎓 🔗

👆 5️⃣📆 👀 👈 ✍ 👐 🐍 🎓, 👆 ⚙️ 👈 🎏 ❕.

🖼:

```Python

# JSON Compatible Encoder { #json-compatible-encoder }

There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).

For example, if you need to store it in a database.

For that, **FastAPI** provides a `jsonable_encoder()` function.

## Using the `jsonable_encoder` { #using-the-jsonable-encoder }

Un "**callable**" en Python es cualquier cosa que Python pueda "llamar" como una función.

Entonces, si tienes un objeto `something` (que podría _no_ ser una función) y puedes "llamarlo" (ejecutarlo) como:

```Python
something()
```

o

```Python
something(some_argument, some_keyword_argument="foo")
```

entonces es un "callable".

## Clases como dependencias

/// info | `@decorator` Info

That `@something` syntax in Python is called a "decorator".

You put it on top of a function. Like a pretty decorative hat (I guess that's where the term came from).

A "decorator" takes the function below and does something with it.

name: Regression
description: Report a problem about something that used to work
labels: [ "a:regression", "to-triage" ]
assignees: [ ]
body:
  - type: markdown
    attributes:
      value: |
        Please use our bug report template to report problems with something that has never worked.
        Regressions reports are greatly appreciated during our RC phase and before a final release.
  - type: textarea
    id: current-behavior
    attributes:

Ein „**Callable**“ in Python ist etwas, das wie eine Funktion aufgerufen werden kann („to call“).

Wenn Sie also ein Objekt `something` haben (das möglicherweise _keine_ Funktion ist) und Sie es wie folgt aufrufen (ausführen) können:

```Python
something()
```

oder

```Python
something(some_argument, some_keyword_argument="foo")
```

dann ist das ein „Callable“ (ein „Aufrufbares“).

## Klassen als Abhängigkeiten