* E.g., `await myfile.seek(0)` would go to the start of the file.
    * This is especially useful if you run `await myfile.read()` once and then need to read the contents again.
* `close()`: Closes the file.

As all these methods are `async` methods, you need to "await" them.

For example, inside of an `async` *path operation function* you can get the contents with:

```Python

name: Latest Changes

on:
  pull_request_target:
    branches:
      - master
    types:
      - closed
  workflow_dispatch:
    inputs:
      number:
        description: PR number
        required: true
      debug_enabled:
        description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)'
        required: false
        default: 'false'

jobs:
  latest-changes:

    `Cookie` es una clase "hermana" de `Path` y `Query`. También hereda de la misma clase común `Param`.

    Pero recuerda que cuando importas `Query`, `Path`, `Cookie`  y otros de `fastapi`, en realidad son funciones que devuelven clases especiales.

!!! info
    Para declarar cookies, necesitas usar `Cookie`, porque de lo contrario los parámetros serían interpretados como parámetros de query.

## Resumen

## GraphQL with Strawberry

If you need or want to work with **GraphQL**, <a href="https://strawberry.rocks/" class="external-link" target="_blank">**Strawberry**</a> is the **recommended** library as it has the design closest to **FastAPI's** design, it's all based on **type annotations**.

Depending on your use case, you might prefer to use a different library, but if you asked me, I would probably suggest you try **Strawberry**.

Routes are declared in a single place, using functions declared in other places (instead of using decorators that can be placed right on top of the function that handles the endpoint). This is closer to how Django does it than to how Flask (and Starlette) does it. It separates in the code things that are relatively tightly coupled.

!!! check "Inspired **FastAPI** to"

                    body=new_translation_message,
                )
                logging.info(f"Notified in comment: {comment.url}")
        elif pr.state == "closed" or approved_label in label_strs:
            logging.info(f"Already approved or closed PR #{pr.number}")
            if already_done_comment:
                logging.info(

L'idée de code **asynchrone** décrite ci-dessus est parfois aussi appelée **"concurrence"**. Ce qui est différent du **"parallélisme"**.

La **concurrence** et le **parallélisme** sont tous deux liés à l'idée de "différentes choses arrivant plus ou moins au même moment".

Mais les détails entre la **concurrence** et le **parallélisme** diffèrent sur de nombreux points.

Pour expliquer la différence, voici une histoire de burgers :

### Resumen

En resumen, declaras los tipos de parámetros, body, etc. **una vez** como parámetros de la función.

Lo haces con tipos modernos estándar de Python.

No tienes que aprender una sintaxis nueva, los métodos o clases de una library específica, etc.

Solo **Python** estándar.

Por ejemplo, para un `int`:

```Python
item_id: int
```

o para un modelo más complejo de `Item`:

```Python
item: Item

* ♻ Change a `dict()` for `{}` in `fastapi/utils.py`. PR [#3138](https://github.com/tiangolo/fastapi/pull/3138) by [@ShahriyarR](https://github.com/ShahriyarR).
* ♻ Move internal variable for errors in `jsonable_encoder` to put related code closer. PR [#4560](https://github.com/tiangolo/fastapi/pull/4560) by [@GuilleQP](https://github.com/GuilleQP).

def test_default_placeholder_bool():
    placeholder_a = Default("a")
    placeholder_b = Default("")
    assert placeholder_a
    assert not placeholder_b


def test_upload_file_is_closed(tmp_path: Path):
    path = tmp_path / "test.txt"
    path.write_bytes(b"<file content>")
    app = FastAPI()

    testing_file_store: List[UploadFile] = []

    @app.post("/uploadfile/")