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docs_src/extra_models/tutorial005.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Mar 26 19:09:53 GMT 2020 - 205 bytes - Viewed (0) -
docs/de/docs/tutorial/path-params-numeric-validations.md
Übergeben Sie der Funktion `*` als ersten Parameter.
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docs/en/docs/how-to/nosql-databases-couchbase.md
It will take the `dict` at `result.value`, and take each of its keys and values and pass them as key-values to `UserInDB` as keyword arguments. So, if the `dict` contains: ```Python { "username": "johndoe", "hashed_password": "some_hash", } ``` It will be passed to `UserInDB` as: ```Python
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docs/ko/docs/tutorial/dependencies/classes-as-dependencies.md
파이썬에서의 "**호출 가능**"은 파이썬이 함수처럼 "호출"할 수 있는 모든 것입니다. 따라서, 만약 당신이 `something`(함수가 아닐 수도 있음) 객체를 가지고 있고, ```Python something() ``` 또는 ```Python something(some_argument, some_keyword_argument="foo") ``` 상기와 같은 방식으로 "호출(실행)" 할 수 있다면 "호출 가능"이 됩니다. ## 의존성으로서의 클래스 파이썬 클래스의 인스턴스를 생성하기 위해 사용하는 것과 동일한 문법을 사용한다는 걸 알 수 있습니다. 예를 들어: ```Python class Cat:
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docs/en/docs/release-notes.md
* Fix testing OAuth2 security scopes when using dependency overrides. PR [#1549](https://github.com/tiangolo/fastapi/pull/1549) by [@amacfie](https://github.com/amacfie). * Fix Model for JSON Schema keyword `not` as a JSON Schema instead of a list. PR [#1548](https://github.com/tiangolo/fastapi/pull/1548) by [@v-do](https://github.com/v-do).
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docs_src/extra_models/tutorial005_py39.py
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docs/zh/docs/tutorial/dependencies/classes-as-dependencies.md
关键因素是依赖项应该是 "可调用对象"。 Python 中的 "**可调用对象**" 是指任何 Python 可以像函数一样 "调用" 的对象。 所以,如果你有一个对象 `something` (可能*不是*一个函数),你可以 "调用" 它(执行它),就像: ```Python something() ``` 或者 ```Python something(some_argument, some_keyword_argument="foo") ``` 这就是 "可调用对象"。 ## 类作为依赖项 您可能会注意到,要创建一个 Python 类的实例,您可以使用相同的语法。 举个例子: ```Python class Cat: def __init__(self, name: str): self.name = name
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tests/test_tutorial/test_extra_models/test_tutorial005.py
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docs/em/docs/tutorial/dependencies/classes-as-dependencies.md
"**🇧🇲**" 🐍 🕳 👈 🐍 💪 "🤙" 💖 🔢. , 🚥 👆 ✔️ 🎚 `something` (👈 💪 _🚫_ 🔢) & 👆 💪 "🤙" ⚫️ (🛠️ ⚫️) 💖: ```Python something() ``` ⚖️ ```Python something(some_argument, some_keyword_argument="foo") ``` ⤴️ ⚫️ "🇧🇲". ## 🎓 🔗 👆 5️⃣📆 👀 👈 ✍ 👐 🐍 🎓, 👆 ⚙️ 👈 🎏 ❕. 🖼: ```Python class Cat: def __init__(self, name: str): self.name = name
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docs/en/docs/tutorial/sql-databases.md
!!! tip Instead of passing each of the keyword arguments to `Item` and reading each one of them from the Pydantic *model*, we are generating a `dict` with the Pydantic *model*'s data with: `item.dict()` and then we are passing the `dict`'s key-value pairs as the keyword arguments to the SQLAlchemy `Item`, with: `Item(**item.dict())`
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