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docs/en/docs/alternatives.md
!!! check "Inspired **FastAPI** to" Define extra validations for data types using the "default" value of model attributes. This improves editor support, and it was not available in Pydantic before. This actually inspired updating parts of Pydantic, to support the same validation declaration style (all this functionality is now already available in Pydantic).
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docs/en/docs/tutorial/path-params.md
But you need `file_path` itself to contain a *path*, like `home/johndoe/myfile.txt`. So, the URL for that file would be something like: `/files/home/johndoe/myfile.txt`. ### OpenAPI support OpenAPI doesn't support a way to declare a *path parameter* to contain a *path* inside, as that could lead to scenarios that are difficult to test and define.
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docs/en/docs/tutorial/response-model.md
But in most of the cases where we need to do something like this, we want the model just to **filter/remove** some of the data as in this example.
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docs/vi/docs/features.md
* trong <a href="https://code.visualstudio.com/" class="external-link" target="_blank">Visual Studio Code</a>: ![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png) * trong <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a>: ![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png)
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docs/en/docs/deployment/manually.md
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docs/en/docs/advanced/dataclasses.md
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fastapi/param_functions.py
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docs/fr/docs/tutorial/path-params.md
Mais que `file_path` lui-même doit contenir un *chemin*, comme `home/johndoe/myfile.txt` par exemple. Donc, l'URL pour ce fichier pourrait être : `/files/home/johndoe/myfile.txt`. ### Support d'OpenAPI OpenAPI ne supporte pas de manière de déclarer un paramètre de chemin contenant un *chemin*, cela pouvant causer des scénarios difficiles à tester et définir.
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docs/fr/docs/history-design-future.md
J'y ai ensuite contribué, pour le rendre entièrement compatible avec JSON Schema, pour supporter différentes manières de définir les déclarations de contraintes, et pour améliorer le support des éditeurs (vérifications de type, autocomplétion) sur la base des tests effectués dans plusieurs éditeurs.
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docs/en/docs/python-types.md
# Python Types Intro Python has support for optional "type hints" (also called "type annotations"). These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable. By declaring types for your variables, editors and tools can give you better support.
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