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docs/ru/docs/tutorial/request-forms-and-files.md
Вы можете определять файлы и поля формы одновременно, используя `File` и `Form`. !!! info "Дополнительная информация" Чтобы получать загруженные файлы и/или данные форм, сначала установите <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>. Например: `pip install python-multipart`. ## Импортируйте `File` и `Form` === "Python 3.9+" ```Python hl_lines="3"
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docs/em/docs/advanced/path-operation-advanced-configuration.md
## 🗄 ➕ 🕐❔ 👆 📣 *➡ 🛠️* 👆 🈸, **FastAPI** 🔁 🏗 🔗 🗃 🔃 👈 *➡ 🛠️* 🔌 🗄 🔗. !!! note "📡 ℹ" 🗄 🔧 ⚫️ 🤙 <a href="https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.3.md#operation-object" class="external-link" target="_blank">🛠️ 🎚</a>. ⚫️ ✔️ 🌐 ℹ 🔃 *➡ 🛠️* & ⚙️ 🏗 🏧 🧾. ⚫️ 🔌 `tags`, `parameters`, `requestBody`, `responses`, ♒️.
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docs/es/docs/benchmarks.md
# Benchmarks Los benchmarks independientes de TechEmpower muestran aplicaciones de **FastAPI** que se ejecutan en Uvicorn como <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l= zijzen-7" class="external-link" target="_blank">uno de los frameworks de Python más rápidos disponibles</a>, solo por debajo de Starlette y Uvicorn (utilizados internamente por FastAPI). (*)
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docs/en/docs/benchmarks.md
# Benchmarks Independent TechEmpower benchmarks show **FastAPI** applications running under Uvicorn as <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">one of the fastest Python frameworks available</a>, only below Starlette and Uvicorn themselves (used internally by FastAPI).
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docs/ja/docs/tutorial/cors.md
## オリジン オリジンはプロトコル (`http`、`https`) とドメイン (`myapp.com`、`localhost`、`localhost.tiangolo.com`) とポート (`80`、`443`、`8080`) の組み合わせです。 したがって、以下はすべて異なるオリジンです: * `http://localhost` * `https://localhost` * `http://localhost:8080` すべて `localhost` であっても、異なるプロトコルやポートを使用するので、異なる「オリジン」です。
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docs/zh/docs/tutorial/handling-errors.md
```Python hl_lines="11" {!../../../docs_src/handling_errors/tutorial001.py!} ``` ### 响应结果 请求为 `http://example.com/items/foo`(`item_id` 为 `「foo」`)时,客户端会接收到 HTTP 状态码 - 200 及如下 JSON 响应结果: ```JSON { "item": "The Foo Wrestlers" } ``` 但如果客户端请求 `http://example.com/items/bar`(`item_id` `「bar」` 不存在时),则会接收到 HTTP 状态码 - 404(「未找到」错误)及如下 JSON 响应结果: ```JSON { "detail": "Item not found" } ```
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docs_src/security/tutorial004.py
ALGORITHM = "HS256" ACCESS_TOKEN_EXPIRE_MINUTES = 30 fake_users_db = { "johndoe": { "username": "johndoe", "full_name": "John Doe", "email": "johndoe@example.com", "hashed_password": "$2b$12$EixZaYVK1fsbw1ZfbX3OXePaWxn96p36WQoeG6Lruj3vjPGga31lW", "disabled": False, } } class Token(BaseModel): access_token: str token_type: str
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docs_src/security/tutorial004_an.py
ALGORITHM = "HS256" ACCESS_TOKEN_EXPIRE_MINUTES = 30 fake_users_db = { "johndoe": { "username": "johndoe", "full_name": "John Doe", "email": "johndoe@example.com", "hashed_password": "$2b$12$EixZaYVK1fsbw1ZfbX3OXePaWxn96p36WQoeG6Lruj3vjPGga31lW", "disabled": False, } } class Token(BaseModel): access_token: str token_type: str
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Mar 26 16:56:53 GMT 2024 - 4.1K bytes - Viewed (0) -
docs/zh/docs/tutorial/response-model.md
因此,**FastAPI** 将会负责过滤掉未在输出模型中声明的所有数据(使用 Pydantic)。 ## 在文档中查看 当你查看自动化文档时,你可以检查输入模型和输出模型是否都具有自己的 JSON Schema: <img src="https://fastapi.tiangolo.com/img/tutorial/response-model/image01.png"> 并且两种模型都将在交互式 API 文档中使用: <img src="https://fastapi.tiangolo.com/img/tutorial/response-model/image02.png"> ## 响应模型编码参数 你的响应模型可以具有默认值,例如: ```Python hl_lines="11 13-14"
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docs/en/docs/advanced/testing-database.md
!!! info These docs are about to be updated. 🎉 The current version assumes Pydantic v1, and SQLAlchemy versions less than 2.0. The new docs will include Pydantic v2 and will use <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel</a> (which is also based on SQLAlchemy) once it is updated to use Pydantic v2 as well.
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