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tests/test_forms_from_non_typing_sequences.py
from fastapi import FastAPI, Form from fastapi.testclient import TestClient app = FastAPI() @app.post("/form/python-list") def post_form_param_list(items: list = Form()): return items @app.post("/form/python-set") def post_form_param_set(items: set = Form()): return items @app.post("/form/python-tuple") def post_form_param_tuple(items: tuple = Form()): return items client = TestClient(app)
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Fri May 13 23:38:22 UTC 2022 - 1.2K bytes - Viewed (0) -
docs/uk/docs/index.md
Ви робите це за допомогою стандартних сучасних типів Python. Вам не потрібно вивчати новий синтаксис, методи чи класи конкретної бібліотеки тощо. Використовуючи стандартний **Python**. Наприклад, для `int`: ```Python item_id: int ``` або для більш складної моделі `Item`: ```Python item: Item ``` ...і з цим єдиним оголошенням Ви отримуєте:
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Oct 11 17:48:49 UTC 2025 - 24.2K bytes - Viewed (0) -
docs/en/docs/tutorial/query-params-str-validations.md
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Dec 20 15:55:38 UTC 2025 - 16.7K bytes - Viewed (0) -
docs/en/docs/tutorial/bigger-applications.md
``` . ├── app # "app" is a Python package │ ├── __init__.py # this file makes "app" a "Python package" │ ├── main.py # "main" module, e.g. import app.main │ ├── dependencies.py # "dependencies" module, e.g. import app.dependencies │ └── routers # "routers" is a "Python subpackage" │ │ ├── __init__.py # makes "routers" a "Python subpackage"
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 10 08:55:32 UTC 2025 - 18.6K bytes - Viewed (0) -
docs/de/docs/environment-variables.md
</div> //// ## Umgebungsvariablen in Python lesen { #read-env-vars-in-python } Sie können auch Umgebungsvariablen **außerhalb** von Python erstellen, im Terminal (oder mit jeder anderen Methode) und sie dann **in Python** lesen. Zum Beispiel könnten Sie eine Datei `main.py` haben mit: ```Python hl_lines="3" import os name = os.getenv("MY_NAME", "World") print(f"Hello {name} from Python") ``` /// tip | TippRegistered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Sep 20 15:10:09 UTC 2025 - 9K bytes - Viewed (0) -
docs/tr/docs/alternatives.md
> Requests, tüm zamanların en çok indirilen Python <abbr title="Paket: Package">paketlerinden</abbr> biridir. Kullanım şekli oldukça basit. Örneğin bir `GET` isteği yapmak için aşağıdaki yeterli: ```Python response = requests.get("http://example.com/some/url") ``` Bunun FastAPI'deki API <abbr title="Yol İşlemi: Path Operation">*yol işlemi*</abbr> şöyle görünür: ```Python hl_lines="1" @app.get("/some/url") def read_url():
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Oct 11 17:48:49 UTC 2025 - 28.7K bytes - Viewed (0) -
docs/en/docs/tutorial/dependencies/classes-as-dependencies.md
The key factor is that a dependency should be a "callable". A "**callable**" in Python is anything that Python can "call" like a function. So, if you have an object `something` (that might _not_ be a function) and you can "call" it (execute it) like: ```Python something() ``` or ```Python something(some_argument, some_keyword_argument="foo") ``` then it is a "callable".
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 6.7K bytes - Viewed (0) -
docs/pt/docs/tutorial/dependencies/classes-as-dependencies.md
O fator principal para uma dependência é que ela deve ser "chamável" Um objeto "chamável" em Python é qualquer coisa que o Python possa "chamar" como uma função Então se você tiver um objeto `alguma_coisa` (que pode *não* ser uma função) que você possa "chamar" (executá-lo) dessa maneira: ```Python something() ``` ou ```Python something(some_argument, some_keyword_argument="foo") ``` Então esse objeto é um "chamável".
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 7.3K bytes - Viewed (0) -
docs/zh/docs/index.md
### 总结 总的来说,你就像声明函数的参数类型一样只声明了**一次**请求参数、请求体等的类型。 你使用了标准的现代 Python 类型来完成声明。 你不需要去学习新的语法、了解特定库的方法或类,等等。 只需要使用标准的 **Python 及更高版本**。 举个例子,比如声明 `int` 类型: ```Python item_id: int ``` 或者一个更复杂的 `Item` 模型: ```Python item: Item ``` ......在进行一次声明之后,你将获得: * 编辑器支持,包括: * 自动补全 * 类型检查 * 数据校验:Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Oct 11 17:48:49 UTC 2025 - 18.2K bytes - Viewed (0) -
docs/fr/docs/features.md
### Faite en python moderne Tout est basé sur la déclaration de type standard de **Python 3.8** (grâce à Pydantic). Pas de nouvelles syntaxes à apprendre. Juste du Python standard et moderne. Si vous souhaitez un rappel de 2 minutes sur l'utilisation des types en Python (même si vous ne comptez pas utiliser FastAPI), jetez un oeil au tutoriel suivant: [Python Types](python-types.md){.internal-link target=_blank}.Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Oct 11 17:48:49 UTC 2025 - 11.1K bytes - Viewed (0)