## Pour résumer

Avec `Query`, `Path` (et d'autres que vous verrez plus tard) vous pouvez déclarer des métadonnées et des validations de chaînes de la même manière qu'avec les [Paramètres de requête et validations de chaînes](query-params-str-validations.md){.internal-link target=_blank}.

Et vous pouvez également déclarer des validations numériques :

* `gt` : `g`reater `t`han
* `ge` : `g`reater than or `e`qual
* `lt` : `l`ess `t`han

- gopkg.in/yaml.v2: v2.2.8 → v2.4.0
- gotest.tools/v3: v3.0.2 → v3.0.3
- k8s.io/gengo: 83324d8 → b6c5ce2
- k8s.io/klog/v2: v2.4.0 → v2.8.0
- k8s.io/kube-openapi: d219536 → 591a79e
- k8s.io/system-validators: v1.2.0 → v1.4.0
- sigs.k8s.io/apiserver-network-proxy/konnectivity-client: v0.0.14 → v0.0.15
- sigs.k8s.io/structured-merge-diff/v4: v4.0.2 → v4.1.0

### Removed

* **Renouvelable**:
    * Pydantic permet de définir de nouveaux types de données ou vous pouvez étendre la validation avec des méthodes sur un modèle décoré avec le<abbr title="en anglais: validator decorator"> décorateur de validation</abbr>

{* ../../docs_src/path_params_numeric_validations/tutorial006.py hl[11] *}

## 🌃

⏮️ `Query`, `Path` (& 🎏 👆 🚫 👀) 👆 💪 📣 🗃 & 🎻 🔬 🎏 🌌 ⏮️ [🔢 🔢 & 🎻 🔬](query-params-str-validations.md){.internal-link target=_blank}.

& 👆 💪 📣 🔢 🔬:

* `gt`: `g`🅾 `t`👲
* `ge`: `g`🅾 🌘 ⚖️ `e`🅾
* `lt`: `l`👭 `t`👲
* `le`: `l`👭 🌘 ⚖️ `e`🅾

/// info

        validator.addToBlacklist("\\share\\blocked");
        validator.clearBlacklist();

        // Should allow previously blacklisted path
        String allowed = validator.validatePath("\\share\\blocked\\file.txt");
        assertEquals("\\share\\blocked\\file.txt", allowed);
    }

    @Test
    public void testClearWhitelist() throws Exception {
        validator.addToWhitelist("\\share\\allowed");

        assertEquals(Integer.MAX_VALUE, validator.safeAdd(Integer.MAX_VALUE, 0));
        assertEquals(Integer.MIN_VALUE, validator.safeAdd(Integer.MIN_VALUE, 0));
        assertEquals(0, validator.safeMultiply(0, Integer.MAX_VALUE));
        assertEquals(1, validator.safeMultiply(1, 1));

        // Test exact buffer boundaries
        byte[] buffer = new byte[100];

- Updated creation of `LoadBalancer` services, for there to be fewer AWS security group rules in most cases. ([#112267](https://github.com/kubernetes/kubernetes/pull/112267), [@sjenning](https://github.com/sjenning))
- Updated the system-validators library to v1.8.0 ([#112026](https://github.com/kubernetes/kubernetes/pull/112026), [@pacoxu](https://github.com/pacoxu))

- google.golang.org/genproto/googleapis/rpc: e6fa225 → a0af3ef
- google.golang.org/grpc: v1.68.1 → v1.72.1
- k8s.io/gengo/v2: 1244d31 → 85fd79d
- k8s.io/kube-openapi: c8a335a → f3f2b99
- k8s.io/system-validators: v1.9.1 → v1.10.1
- k8s.io/utils: 3ea5e8c → 4c0f3b2
- sigs.k8s.io/json: 9aa6b5e → cfa47c3
- sigs.k8s.io/kustomize/api: v0.19.0 → v0.20.1
- sigs.k8s.io/kustomize/cmd/config: v0.19.0 → v0.20.1

  under the License.
-->

<!--
  | Improvements:
  |
  | o add specification element to a field, this would be more a technical description of
  |   what is allowed in the field.
  |
  | o validators: there could be several levels of validation. Simple type validation could
  |   be done with a regex, but we need inter-field validation and rules which could be
  |   dealt with by something like drools.
  |

As these keys may not necessarily be part of the OpenAPI specification, some OpenAPI tools, for example [the OpenAPI validator](https://validator.swagger.io/), may not work with your generated schema.

///

## Recap { #recap }

You can use Pydantic's `Field` to declare extra validations and metadata for model attributes.