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docs/em/docs/tutorial/schema-extra-example.md
👆 💪 📣 🖼 💽 👆 📱 💪 📨. 📥 📚 🌌 ⚫️. ## Pydantic `schema_extra` 👆 💪 📣 `example` Pydantic 🏷 ⚙️ `Config` & `schema_extra`, 🔬 <a href="https://docs.pydantic.dev/latest/concepts/json_schema/#customizing-json-schema" class="external-link" target="_blank">Pydantic 🩺: 🔗 🛃</a>: === "🐍 3️⃣.6️⃣ & 🔛" ```Python hl_lines="15-23" {!> ../../../docs_src/schema_extra_example/tutorial001.py!} ```
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docs/em/docs/index.md
* **🏋️**: 🤚 🏭-🔜 📟. ⏮️ 🏧 🎓 🧾. * **🐩-⚓️**: ⚓️ 🔛 (& 🍕 🔗 ⏮️) 📂 🐩 🔗: <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">🗄</a> (⏪ 💭 🦁) & <a href="https://json-schema.org/" class="external-link" target="_blank">🎻 🔗</a>. <small>* ⚖ ⚓️ 🔛 💯 🔛 🔗 🛠️ 🏉, 🏗 🏭 🈸.</small> ## 💰 <!-- sponsors --> {% if sponsors %} {% for sponsor in sponsors.gold -%}
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common-protos/k8s.io/api/apps/v1/generated.proto
import "k8s.io/api/core/v1/generated.proto"; import "k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto"; import "k8s.io/apimachinery/pkg/runtime/generated.proto"; import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto"; import "k8s.io/apimachinery/pkg/util/intstr/generated.proto"; // Package-wide variables from generator "generated". option go_package = "k8s.io/api/apps/v1";
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docs/fr/docs/features.md
* Documentation automatique des modèles de données avec <a href="http://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (comme OpenAPI est aussi basée sur JSON Schema). * Conçue avec ces standards après une analyse méticuleuse. Plutôt qu'en rajoutant des surcouches après coup.
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docs/de/docs/how-to/general.md
## OpenAPI-Metadaten – Dokumentation Um Metadaten zu Ihrem OpenAPI-Schema hinzuzufügen, einschließlich einer Lizenz, Version, Kontakt, usw., lesen Sie die Dokumentation unter [Tutorial – Metadaten und URLs der Dokumentationen](../tutorial/metadata.md){.internal-link target=_blank}.
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common-protos/k8s.io/api/scheduling/v1beta1/generated.proto
import "k8s.io/api/core/v1/generated.proto"; import "k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto"; import "k8s.io/apimachinery/pkg/runtime/generated.proto"; import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto"; // Package-wide variables from generator "generated". option go_package = "k8s.io/api/scheduling/v1beta1";
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docs/fr/docs/tutorial/body.md
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docs/en/docs/advanced/openapi-webhooks.md
```Python hl_lines="9-13 36-53" {!../../../docs_src/openapi_webhooks/tutorial001.py!} ``` The webhooks that you define will end up in the **OpenAPI** schema and the automatic **docs UI**. !!! info The `app.webhooks` object is actually just an `APIRouter`, the same type you would use when structuring your app with multiple files.
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docs/pt/docs/tutorial/extra-data-types.md
* Nas respostas, o `set` será convertido para uma `list`. * O esquema gerado vai especificar que os valores do `set` são unicos (usando o `uniqueItems` do JSON Schema). * `bytes`: * O `bytes` padrão do Python. * Em requisições e respostas será representado como uma `str`. * O esquema gerado vai especificar que é uma `str` com o "formato" `binary`. * `Decimal`:
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docs/en/docs/tutorial/body-nested-models.md
``` === "Python 3.8+" ```Python hl_lines="4 10" {!> ../../../docs_src/body_nested_models/tutorial005.py!} ``` The string will be checked to be a valid URL, and documented in JSON Schema / OpenAPI as such. ## Attributes with lists of submodels You can also use Pydantic models as subtypes of `list`, `set`, etc.: === "Python 3.10+" ```Python hl_lines="18"
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