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okhttp-coroutines/Module.md
# Module okhttp-coroutines
Created: Fri Apr 03 11:42:14 GMT 2026 - Last Modified: Sun Mar 06 15:31:31 GMT 2022 - 55 bytes - Click Count (0) -
okhttp/Module.md
# Module okhttp
Created: Fri Apr 03 11:42:14 GMT 2026 - Last Modified: Tue Apr 02 11:27:49 GMT 2019 - 74 bytes - Click Count (0) -
docs/tr/docs/tutorial/security/get-current-user.md
Ayrıca güvenlik gereksinimleri için herhangi bir model veya veri kullanabilirsiniz (bu örnekte bir Pydantic `User` modeli). Ancak belirli bir data model, class ya da type kullanmak zorunda değilsiniz. Modelinizde bir `id` ve `email` olsun, ama `username` olmasın mı istiyorsunuz? Elbette. Aynı araçları kullanabilirsiniz. Sadece bir `str` mı istiyorsunuz? Ya da sadece bir `dict`? Veya doğrudan bir veritabanı class model instance'ı? Hepsi aynı şekilde çalışır.
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Feb 13 12:41:38 GMT 2026 - 4.4K bytes - Click Count (0) -
mockwebserver/Module.md
# Module mockwebserver
Created: Fri Apr 03 11:42:14 GMT 2026 - Last Modified: Tue Apr 02 11:27:49 GMT 2019 - 74 bytes - Click Count (0) -
okhttp-sse/Module.md
# Module okhttp-sse
Created: Fri Apr 03 11:42:14 GMT 2026 - Last Modified: Tue Apr 02 11:27:49 GMT 2019 - 53 bytes - Click Count (0) -
fastapi/openapi/models.py
Sofie Van Landeghem <******@****.***> 1773575079 +0100
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Sun Mar 15 11:44:39 GMT 2026 - 14.2K bytes - Click Count (0) -
docs/fr/docs/tutorial/body.md
/// ## Importer le `BaseModel` de Pydantic { #import-pydantics-basemodel } Commencez par importer la classe `BaseModel` du module `pydantic` : {* ../../docs_src/body/tutorial001_py310.py hl[2] *} ## Créer votre modèle de données { #create-your-data-model } Déclarez ensuite votre modèle de données en tant que classe qui hérite de `BaseModel`. Utilisez les types Python standard pour tous les attributs :Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 18:37:13 GMT 2026 - 7.8K bytes - Click Count (0) -
docs/fr/docs/tutorial/body-updates.md
* Récupérez les données stockées. * Placez ces données dans un modèle Pydantic. * Générez un `dict` sans valeurs par défaut à partir du modèle d’entrée (en utilisant `exclude_unset`). * De cette façon, vous mettez à jour uniquement les valeurs effectivement définies par l’utilisateur, au lieu d’écraser des valeurs déjà stockées par des valeurs par défaut de votre modèle.Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 18:37:13 GMT 2026 - 4.9K bytes - Click Count (0) -
docs/pt/docs/tutorial/security/get-current-user.md
E você pode usar qualquer modelo ou dado para os requisitos de segurança (neste caso, um modelo Pydantic `User`). Mas você não está restrito a usar um modelo de dados, classe ou tipo específico. Você quer ter apenas um `id` e `email`, sem incluir nenhum `username` no modelo? Claro. Você pode usar essas mesmas ferramentas.
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Feb 13 13:48:53 GMT 2026 - 4.6K bytes - Click Count (0) -
docs/en/docs/advanced/settings.md
The `app_name` would be `"ChimichangApp"`. And the `items_per_user` would keep its default value of `50`. ## Settings in another module { #settings-in-another-module } You could put those settings in another module file as you saw in [Bigger Applications - Multiple Files](../tutorial/bigger-applications.md). For example, you could have a file `config.py` with:
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 05 18:13:19 GMT 2026 - 10.9K bytes - Click Count (0)