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docs/fr/docs/advanced/additional-responses.md
Le bon endroit est : * Dans la clé `content`, qui a pour valeur un autre objet JSON (`dict`) qui contient : * Une clé avec le type de support, par ex. `application/json`, qui contient comme valeur un autre objet JSON, qui contient : * Une clé `schema`, qui a pour valeur le schéma JSON du modèle, voici le bon endroit.
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docs/en/docs/deployment/manually.md
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docs/en/docs/tutorial/metadata.md
```Python hl_lines="3-16 18" {!../../../docs_src/metadata/tutorial004.py!} ``` Notice that you can use Markdown inside of the descriptions, for example "login" will be shown in bold (**login**) and "fancy" will be shown in italics (_fancy_). !!! tip You don't have to add metadata for all the tags that you use. ### Use your tags
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docs/em/docs/deployment/server-workers.md
* 📥 👥 🚶♀️ 🎓 👈 🐁 💪 🗄 & ⚙️ ⏮️: ```Python import uvicorn.workers.UvicornWorker ``` * `--bind`: 👉 💬 🐁 📢 & ⛴ 👂, ⚙️ ❤ (`:`) 🎏 📢 & ⛴. * 🚥 👆 🏃♂ Uvicorn 🔗, ↩️ `--bind 0.0.0.0:80` (🐁 🎛) 👆 🔜 ⚙️ `--host 0.0.0.0` & `--port 80`. 🔢, 👆 💪 👀 👈 ⚫️ 🎦 **🕹** (🛠️ 🆔) 🔠 🛠️ (⚫️ 🔢). 👆 💪 👀 👈:
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docs/de/docs/deployment/manually.md
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docs/fr/docs/tutorial/body.md
Vous pouvez aussi déclarer un **corps**, et des paramètres de **chemin** et de **requête** dans la même *opération de chemin*. **FastAPI** saura reconnaître chacun d'entre eux et récupérer la bonne donnée au bon endroit. ```Python hl_lines="18" {!../../../docs_src/body/tutorial004.py!} ``` Les paramètres de la fonction seront reconnus comme tel :
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docs/zh/docs/deployment/server-workers.md
* 这里我们传递了 Gunicorn 可以导入和使用的类: ```Python import uvicorn.workers.UvicornWorker ``` * `--bind`:这告诉 Gunicorn 要监听的 IP 和端口,使用冒号 (`:`) 分隔 IP 和端口。 * 如果您直接运行 Uvicorn,则可以使用`--host 0.0.0.0`和`--port 80`,而不是`--bind 0.0.0.0:80`(Gunicorn 选项)。 在输出中,您可以看到它显示了每个进程的 **PID**(进程 ID)(它只是一个数字)。 你可以看到: * Gunicorn **进程管理器** 以 PID `19499` 开头(在您的情况下,它将是一个不同的数字)。
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docs/ru/docs/deployment/manually.md
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docs/zh/docs/deployment/manually.md
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fastapi/types.py
import types from enum import Enum from typing import Any, Callable, Dict, Set, Type, TypeVar, Union from pydantic import BaseModel DecoratedCallable = TypeVar("DecoratedCallable", bound=Callable[..., Any]) UnionType = getattr(types, "UnionType", Union) ModelNameMap = Dict[Union[Type[BaseModel], Type[Enum]], str]
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