(b) You must cause any modified files to carry prominent notices
          stating that You changed the files; and

      (c) You must retain, in the Source form of any Derivative Works
          that You distribute, all copyright, patent, trademark, and
          attribution notices from the Source form of the Work,
          excluding those notices that do not pertain to any part of
          the Derivative Works; and

      (b) You must cause any modified files to carry prominent notices
          stating that You changed the files; and

      (c) You must retain, in the Source form of any Derivative Works
          that You distribute, all copyright, patent, trademark, and
          attribution notices from the Source form of the Work,
          excluding those notices that do not pertain to any part of
          the Derivative Works; and

      (b) You must cause any modified files to carry prominent notices
          stating that You changed the files; and

      (c) You must retain, in the Source form of any Derivative Works
          that You distribute, all copyright, patent, trademark, and
          attribution notices from the Source form of the Work,
          excluding those notices that do not pertain to any part of
          the Derivative Works; and

      (b) You must cause any modified files to carry prominent notices
          stating that You changed the files; and

      (c) You must retain, in the Source form of any Derivative Works
          that You distribute, all copyright, patent, trademark, and
          attribution notices from the Source form of the Work,
          excluding those notices that do not pertain to any part of
          the Derivative Works; and

Pero luego pensamos en ello, y nos damos cuenta de que los tags no deberían repetirse, probablemente serían strings únicos.

Y Python tiene un tipo de datos especial para conjuntos de elementos únicos, el `set`.

Entonces podemos declarar `tags` como un conjunto de strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

	}
	var nonce [32]byte
	if _, err := io.ReadFull(random, nonce[:]); err != nil {
		logger.CriticalIf(context.Background(), errOutOfEntropy)
	}

	const Context = "object-encryption-key generation"
	mac := hmac.New(sha256.New, extKey)
	mac.Write([]byte(Context))
	mac.Write(nonce[:])
	mac.Sum(key[:0])
	return key
}

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 { #classes-as-dependencies_1 }

		Ciphertext: `{"aead":"ChaCha20Poly1305","iv":"JbI+vwvYww1lCb5VpkAFuQ==","nonce":"ARjIjJxBSD541Gz8","bytes":"KCbEc2sA0TLvA7aWTWa23AdccVfJMpOxwgG8hm+4PaNrxYfy1xFWZg2gEenVrOgv"}`,
	},
	{
		KeyID:      "my-key",
		Plaintext:  "UnPWsZgVI+T4L9WGNzFlP1PsP1Z6hn2Fx8ISeZfDGnA=",
		Ciphertext: `{"aead":"ChaCha20Poly1305","iv":"r4+yfiVbVIYR0Z2I9Fq+6g==","nonce":"2YpwGwE59GcVraI3","bytes":"k/svMglOU7/Kgwv73heG38NWW575XLcFp3SaxQHDMjJGYyRI3Fiygu2OeutGPXNL"}`,

[[es-release-notes]]
= Release notes

[partintro]
--

This section summarizes the changes in each release.

<% versions.each { print "* <<release-notes-${ it }>>\n" } %>
--

Para sobrescribir una dependencia para las pruebas, colocas como clave la dependencia original (una función), y como valor, tu dependencia para sobreescribir (otra función).

Y entonces **FastAPI** llamará a esa dependencia para sobreescribir en lugar de la dependencia original.

{* ../../docs_src/dependency_testing/tutorial001_an_py310.py hl[26:27,30] *}

/// tip | Consejo