tokenizer = new JapaneseTokenizer(userDictionary, discartPunctuation, mode);

            try {
                final Field attributesField = getAccessibleField(AttributeSource.class, "attributes");
                final Object attributesObj = attributesField.get(tokenizer);
                attributesField.set(this, attributesObj);

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is een Python-pakket voor het uitvoeren van datavalidatie.

Je declareert de "vorm" van de data als klassen met attributen.

Elk attribuut heeft een type.

Vervolgens maak je een instantie van die klasse met een aantal waarden en het valideert de waarden, converteert ze naar het juiste type (als dat het geval is) en geeft je een object met alle data terug.

			writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErrWithErr(ErrAdminNoSuchUser, err), r.URL)
			return
		}

		// Add LDAP attributes that were looked up into the claims.
		for attribKey, attribValue := range lookupResult.Attributes {
			opts.claims[ldapAttribPrefix+attribKey] = attribValue
		}
	}

	newCred, updatedAt, err := globalIAMSys.NewServiceAccount(ctx, targetUser, targetGroups, opts)

{
  "name": "small_pdf1.pdf",
  "lume_id": "9507193e-572d-4f95-bcf1-e9226d96be65",
  "elements": [
    {
      "element_type": "__elem__image",
      "element_id": "859d09c4-7cf1-4a37-9674-3a7de8b56abc",
      "attributes": {
        "__attr__image_dpi": 300,
        "__attr__image_size": [
          2550,
          3299
        ],
        "__attr__image_index": 1,
        "__attr__image_format": "JPEG",

///

```Python hl_lines="16"
{!> ../../docs_src/dependencies/tutorial011.py!}
```

////

E deste modo nós podemos "parametrizar" a nossa dependência, que agora possui `"bar"` dentro dele, como o atributo `checker.fixed_content`.

## Utilize a instância como dependência

	include promoted methods with receiver <code>T</code> or
	<code>*T</code>.
	</li>
</ul>

<p>
A field declaration may be followed by an optional string literal <i>tag</i>,
which becomes an attribute for all the fields in the corresponding
field declaration. An empty tag string is equivalent to an absent tag.
The tags are made visible through a <a href="/pkg/reflect/#StructTag">reflection interface</a>

--- a/misc/sys/cdefs.h
+++ b/misc/sys/cdefs.h
@@ -423,4 +423,14 @@
 # endif
 #endif
 
+/* Undefine (also defined in libc-symbols.h).  */
+#undef __attribute_copy__
+#if __GNUC_PREREQ (9, 0)
+/* Copies attributes from the declaration or type referenced by
+   the argument.  */
+# define __attribute_copy__(arg) __attribute__ ((__copy__ (arg)))
+#else
+# define __attribute_copy__(arg)
+#endif
+

* New Pydantic models use an improved and simplified attribute `model_config` that takes a simple dict instead of an internal class `Config` for their configuration.
    * You can read more about it in the docs for [Declare Request Example Data](https://fastapi.tiangolo.com/tutorial/schema-extra-example/).

* Para requisições `PUT` para `/items/{item_id}`, lerá o corpo como JSON e:
    * Verifica que tem um atributo obrigatório `name` que deve ser `str`.
    * Verifica que tem um atributo obrigatório `price` que deve ser `float`.
    * Verifica que tem an atributo opcional `is_offer`, que deve ser `bool`, se presente.
    * Tudo isso também funciona para objetos JSON profundamente aninhados.

* Para requests de tipo `PUT` a `/items/{item_id}` leer el body como JSON:
    * Revisar si tiene un atributo requerido `name` que debe ser un `str`.
    * Revisar si tiene un atributo requerido `price` que debe ser un `float`.
    * Revisar si tiene un atributo opcional `is_offer`, que debe ser un `bool`si está presente.
    * Todo esto funcionaría para objetos JSON profundamente anidados.