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src/main/resources/fess_indices/fess/fi/stopwords.txt
keillä keiltä keille keinä keiksi mikä minkä minkä mitä missä mistä mihin millä miltä mille minä miksi mitkä joka jonka jota jossa josta johon jolla jolta jolle jona joksi jotka joiden joita joissa joista joihin joilla joilta joille joina joiksi että ja jos koska kuin mutta
Plain Text - Registered: Mon May 06 08:04:11 GMT 2024 - Last Modified: Mon Nov 27 12:59:36 GMT 2023 - 1.7K bytes - Viewed (0) -
tests/test_response_model_as_return_annotation.py
return User(name="John", surname="Doe") @app.get("/no_response_model-no_annotation-return_dict") def no_response_model_no_annotation_return_dict(): return {"name": "John", "surname": "Doe"} @app.get("/response_model-no_annotation-return_same_model", response_model=User) def response_model_no_annotation_return_same_model(): return User(name="John", surname="Doe")
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Mon Aug 14 09:49:57 GMT 2023 - 47.7K bytes - Viewed (0) -
docs_src/python_types/tutorial011.py
from pydantic import BaseModel class User(BaseModel): id: int name: str = "John Doe" signup_ts: Union[datetime, None] = None friends: List[int] = [] external_data = { "id": "123", "signup_ts": "2017-06-01 12:22", "friends": [1, "2", b"3"], } user = User(**external_data) print(user) # > User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3] print(user.id)
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Sep 02 15:56:35 GMT 2023 - 498 bytes - Viewed (0) -
docs_src/security/tutorial002_an_py39.py
full_name: Union[str, None] = None disabled: Union[bool, None] = None def fake_decode_token(token): return User( username=token + "fakedecoded", email="john@example.com", full_name="John Doe" ) async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]): user = fake_decode_token(token) return user @app.get("/users/me")
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Mar 18 12:29:59 GMT 2023 - 786 bytes - Viewed (0) -
docs_src/python_types/tutorial011_py310.py
from pydantic import BaseModel class User(BaseModel): id: int name: str = "John Doe" signup_ts: datetime | None = None friends: list[int] = [] external_data = { "id": "123", "signup_ts": "2017-06-01 12:22", "friends": [1, "2", b"3"], } user = User(**external_data) print(user) # > User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3] print(user.id)
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Sep 02 15:56:35 GMT 2023 - 461 bytes - Viewed (0) -
tests/test_tutorial/test_security/test_tutorial006_an_py39.py
client = TestClient(app) return client @needs_py39 def test_security_http_basic(client: TestClient): response = client.get("/users/me", auth=("john", "secret")) assert response.status_code == 200, response.text assert response.json() == {"username": "john", "password": "secret"} @needs_py39 def test_security_http_basic_no_credentials(client: TestClient): response = client.get("/users/me")
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Fri Jun 30 18:25:16 GMT 2023 - 2.5K bytes - Viewed (0) -
docs_src/python_types/tutorial011_py39.py
from pydantic import BaseModel class User(BaseModel): id: int name: str = "John Doe" signup_ts: Union[datetime, None] = None friends: list[int] = [] external_data = { "id": "123", "signup_ts": "2017-06-01 12:22", "friends": [1, "2", b"3"], } user = User(**external_data) print(user) # > User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3] print(user.id)
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Sep 02 15:56:35 GMT 2023 - 492 bytes - Viewed (0) -
docs/pt/docs/tutorial/extra-models.md
Os modelos Pydantic possuem um método `.dict()` que retorna um `dict` com os dados do modelo. Então, se criarmos um objeto Pydantic `user_in` como: ```Python user_in = UserIn(username="john", password="secret", email="john******@****.***") ``` e depois chamarmos: ```Python user_dict = user_in.dict() ```
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docs/zh/docs/tutorial/extra-models.md
```Python user_in = UserIn(username="john", password="secret", email="john******@****.***") ``` 就能以如下方式调用: ```Python user_dict = user_in.dict() ``` 现在,变量 `user_dict`中的就是包含数据的**字典**(变量 `user_dict` 是字典,不是 Pydantic 模型对象)。 以如下方式调用: ```Python print(user_dict) ``` 输出的就是 Python **字典**: ```Python { 'username': 'john', 'password': 'secret',
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Mon Apr 01 01:15:53 GMT 2024 - 6.7K bytes - Viewed (0) -
docs/de/docs/tutorial/extra-models.md
Pydantic-Modelle haben eine `.dict()`-Methode, die ein `dict` mit den Daten des Modells zurückgibt. Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so: ```Python user_in = UserIn(username="john", password="secret", email="john******@****.***") ``` und wir rufen seine `.dict()`-Methode auf: ```Python user_dict = user_in.dict() ```
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Mar 30 20:26:47 GMT 2024 - 8.7K bytes - Viewed (0)