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docs/pl/docs/index.md
--- "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_" <div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div> ---
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docs/it/docs/index.md
--- "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_" <div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, e Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div> ---
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docs/zh/docs/index.md
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docs/ru/docs/index.md
--- ## **Typer**, интерфейс командной строки для FastAPI
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docs/en/docs/tutorial/response-model.md
``` !!! info To use `EmailStr`, first install <a href="https://github.com/JoshData/python-email-validator" class="external-link" target="_blank">`email_validator`</a>. E.g. `pip install email-validator` or `pip install pydantic[email]`. And we are using this model to declare our input and the same model to declare our output: === "Python 3.10+"
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docs/zh/docs/tutorial/security/get-current-user.md
## 其它模型 接下来,直接在*路径操作函数*中获取当前用户,并用 `Depends` 在**依赖注入**系统中处理安全机制。 开发者可以使用任何模型或数据满足安全需求(本例中是 Pydantic 的 `User` 模型)。 而且,不局限于只能使用特定的数据模型、类或类型。 不想在模型中使用 `username`,而是使用 `id` 和 `email`?当然可以。这些工具也支持。 只想使用字符串?或字典?甚至是数据库类模型的实例?工作方式都一样。 实际上,就算登录应用的不是用户,而是只拥有访问令牌的机器人、程序或其它系统?工作方式也一样。 尽管使用应用所需的任何模型、类、数据库。**FastAPI** 通过依赖注入系统都能帮您搞定。 ## 代码大小
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docs/em/docs/tutorial/metadata.md
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docs/en/docs/deployment/manually.md
* <a href="https://github.com/django/daphne" class="external-link" target="_blank">Daphne</a>: the ASGI server built for Django Channels. ## Server Machine and Server Program There's a small detail about names to keep in mind. 💡 The word "**server**" is commonly used to refer to both the remote/cloud computer (the physical or virtual machine) and also the program that is running on that machine (e.g. Uvicorn).
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docs/vi/docs/features.md
* Xâu (`str`), định nghĩa độ dài lớn nhất, nhỏ nhất. * Số (`int`, `float`) với các giá trị lớn nhất, nhỏ nhất, etc. * Validation cho nhiều kiểu dữ liệu bên ngoài như: * URL. * Email. * UUID. * ...và nhiều cái khác. Tất cả validation được xử lí bằng những thiết lập tốt và mạnh mẽ của **Pydantic**. ### Bảo mật và xác thực
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docs/hu/docs/index.md
--- "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_" <div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div> ---
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