Por ejemplo, [puedes usar `with` para leer un archivo](https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files):

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

Internamente, `open("./somefile.txt")` crea un objeto llamado "Context Manager".

Cuando el bloque `with` termina, se asegura de cerrar el archivo, incluso si hubo excepciones.

   */
  public void reset() {
    internalReset(0L);
  }

  /**
   * Equivalent in effect to {@link #sum} followed by {@link #reset}. This method may apply for
   * example during quiescent points between multithreaded computations. If there are updates
   * concurrent with this method, the returned value is not guaranteed to be the final
   * value occurring before the reset.
   *
   * @return the sum

Usarlo en tu editor es lo que realmente te muestra los beneficios de FastAPI, al ver cuán poco código tienes que escribir, todos los chequeos de tipos, autocompletado, etc.

---

## Instalar FastAPI { #install-fastapi }

El primer paso es instalar FastAPI.

Asegúrate de crear un [entorno virtual](../virtual-environments.md), actívalo, y luego **instala FastAPI**:

<div class="termy">

```console
$ pip install "fastapi[standard]"

            when(mockTree.send(any(Request.class), any(RequestParam.class))).thenAnswer(inv -> (CommonServerMessageBlockResponse) smb2Resp);

            byte[] buf = new byte[16];

            // Skip advances internal file pointer; next read should use this offset
            in.skip(2);

            // Act
            int n = in.readDirect(buf, 0, 5);

            // Assert

// [Writer.CreateHeader], [Writer.CreateRaw], or [Writer.Close].
//
// In contrast to [Writer.CreateHeader], the bytes passed to Writer are not compressed.
//
// CreateRaw's argument is stored in w. If the argument is a pointer to the embedded
// [FileHeader] in a [File] obtained from a [Reader] created from in-memory data,
// then w will refer to all of that memory.
func (w *Writer) CreateRaw(fh *FileHeader) (io.Writer, error) {

in TensorFlow ops can be recognized as security issues only if they are
reachable and exploitable through production-grade, benign models.

### Compilation

Compiling models via the recommended entry points described in
[XLA](https://www.tensorflow.org/xla) and
[JAX](https://jax.readthedocs.io/en/latest/jax-101/02-jitting.html)
documentation should be safe, while some of the testing and debugging tools that

        PagingList<CharMappingItem> result = emptyMappingFile.selectList(0, 10);

        // Debug: print what we actually got
        if (result.size() > 0) {
            for (CharMappingItem item : result) {
                System.out.println("Unexpected item: " + item.toLineString());
            }
        }

        // An empty file should return no items

```python
from typing import Any


def some_function(data: Any):
    print(data)
```

### Types génériques { #generic-types }

				"application/x-font-speedo",
				"application/x-font-sunos-news",
				"application/x-font-ttf",
				"application/x-font-type1",
				"application/x-font-adobe-metric",
				"application/x-font-printer-metric",
				"application/x-font-vfont",
				"application/x-foxmail",
				"application/x-futuresplash",
				"application/x-gnucash",
				"application/x-gnumeric",
				"application/x-gtar",

		return err
	}
	return nil
}

func TestPropagateUnscoped(t *testing.T) {
	_DB, err := OpenTestConnection(&gorm.Config{
		PropagateUnscoped: true,
	})
	if err != nil {
		log.Printf("failed to connect database, got error %v", err)
		os.Exit(1)
	}

	_DB.Migrator().DropTable(&Product6{}, &ProductItem2{})
	_DB.AutoMigrate(&Product6{}, &ProductItem2{})

	p := Product6{