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  1. 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).
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  2. docs/fr/docs/index.md

    ![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png)
    
    ## Exemple plus poussé
    
    Maintenant, modifiez le fichier `main.py` pour recevoir <abbr title="en anglais : body">le corps</abbr> d'une requête `PUT`.
    
    Déclarez ce corps en utilisant les types Python standards, grâce à Pydantic.
    
    ```Python hl_lines="4  9-12  25-27"
    from typing import Union
    
    from fastapi import FastAPI
    from pydantic import BaseModel
    
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  3. docs/fr/docs/alternatives.md

    Il ne peut pas très bien gérer les modèles imbriqués. Ainsi, si le corps JSON de la requête est un objet JSON comportant des champs internes qui sont à leur tour des objets JSON imbriqués, il ne peut pas être correctement documenté et validé.
    
    /// check | "A inspiré **FastAPI** à"
    
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  4. docs/fr/docs/python-types.md

    * **du support de l'éditeur**
    * **de la vérification de types**
    
    ...et **FastAPI** utilise ces mêmes déclarations pour :
    
    * **Définir les prérequis** : depuis les paramètres de chemins des requêtes, les entêtes, les corps, les dépendances, etc.
    * **Convertir des données** : depuis la requête vers les types requis.
    * **Valider des données** : venant de chaque requête :
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  5. docs/pt/docs/index.md

    ![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png)
    
    ## Evoluindo o Exemplo
    
    Agora modifique o arquivo `main.py` para receber um corpo para uma requisição `PUT`.
    
    Declare o corpo utilizando tipos padrão Python, graças ao Pydantic.
    
    ```Python hl_lines="4  9-12  25-27"
    from typing import Union
    
    from fastapi import FastAPI
    from pydantic import BaseModel
    
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  6. docs/pt/docs/features.md

    * Modelo de documentação automática com <a href="https://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (já que o OpenAPI em si é baseado no JSON Schema).
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  7. docs/config/README.md

    `max_sleep` to a *lower* value and setting `max_io` to a *higher* value would make heal go faster.
    
    Each node is responsible of healing its local drives; Each drive will have multiple heal workers which is the quarter of the number of CPU cores of the node or the quarter of the configured nr_requests of the drive (https://www.kernel.org/doc/Documentation/block/queue-sysfs.txt). It is also possible to provide a custom number of workers by using this command: `mc admin config set alias/ heal...
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  8. docs/pt/docs/alternatives.md

    Ele também não controla modelos aninhados muito bem. Então, se o corpo JSON na requisição for um objeto JSON que contém campos internos que contém objetos JSON aninhados, ele não consegue ser validado e documentado apropriadamente.
    
    /// check | "**FastAPI** inspirado para"
    
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  9. docs/pt/docs/tutorial/request_files.md

    ///
    
    /// tip | Dica
    
    Para declarar o corpo de arquivos, você precisa utilizar `File`, do contrário os parâmetros seriam interpretados como parâmetros de consulta ou corpo (JSON) da requisição.
    
    ///
    
    Os arquivos serão enviados como "form data".
    
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  10. cmd/api-router.go

    			Queries("cors", "")
    		// PutBucketCors - this is a dummy call.
    		router.Methods(http.MethodPut).
    			HandlerFunc(s3APIMiddleware(api.PutBucketCorsHandler)).
    			Queries("cors", "")
    		// DeleteBucketCors - this is a dummy call.
    		router.Methods(http.MethodDelete).
    			HandlerFunc(s3APIMiddleware(api.DeleteBucketCorsHandler)).
    			Queries("cors", "")
    		// GetBucketWebsiteHandler - this is a dummy call.
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