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tests/test_tutorial/test_security/test_tutorial005_an_py39.py
@needs_py39 def test_verify_password(): from docs_src.security.tutorial005_an_py39 import fake_users_db, verify_password assert verify_password("secret", fake_users_db["johndoe"]["hashed_password"]) @needs_py39 def test_get_password_hash(): from docs_src.security.tutorial005_an_py39 import get_password_hash assert get_password_hash("secretalice") @needs_py39
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Wed Mar 13 19:07:10 GMT 2024 - 16.3K bytes - Viewed (0) -
tests/test_tutorial/test_security/test_tutorial005_py310.py
@needs_py310 def test_verify_password(): from docs_src.security.tutorial005_py310 import fake_users_db, verify_password assert verify_password("secret", fake_users_db["johndoe"]["hashed_password"]) @needs_py310 def test_get_password_hash(): from docs_src.security.tutorial005_py310 import get_password_hash assert get_password_hash("secretalice") @needs_py310
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Wed Mar 13 19:07:10 GMT 2024 - 16.3K bytes - Viewed (0) -
docs/en/docs/advanced/path-operation-advanced-configuration.md
Then we use the request directly, and extract the body as `bytes`. This means that FastAPI won't even try to parse the request payload as JSON. And then in our code, we parse that YAML content directly, and then we are again using the same Pydantic model to validate the YAML content: === "Pydantic v2" ```Python hl_lines="26-33"
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 7.7K bytes - Viewed (0) -
tests/test_path.py
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 34.4K bytes - Viewed (0) -
docs/pt/docs/tutorial/body-nested-models.md
``` ### Declare a `List` com um parâmetro de tipo Para declarar tipos que têm parâmetros de tipo(tipos internos), como `list`, `dict`, `tuple`: * Importe os do modulo `typing` * Passe o(s) tipo(s) interno(s) como "parâmetros de tipo" usando colchetes: `[` e `]` ```Python from typing import List my_list: List[str] ``` Essa é a sintaxe padrão do Python para declarações de tipo.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 7.4K bytes - Viewed (0) -
fastapi/_compat.py
Undefined = PydanticUndefined UndefinedType = PydanticUndefinedType evaluate_forwardref = eval_type_lenient Validator = Any class BaseConfig: pass class ErrorWrapper(Exception): pass @dataclass class ModelField: field_info: FieldInfo name: str mode: Literal["validation", "serialization"] = "validation" @property
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 22.6K bytes - Viewed (0) -
docs/de/docs/deployment/docker.md
2. Führe Uvicorn aus und weisen es an, das `app`-Objekt von `main` zu importieren (anstatt von `app.main` zu importieren). Passen Sie dann den Uvicorn-Befehl an, um das neue Modul `main` anstelle von `app.main` zu verwenden, um das FastAPI-Objekt `app` zu importieren. ## Deployment-Konzepte Lassen Sie uns noch einmal über einige der gleichen [Deployment-Konzepte](concepts.md){.internal-link target=_blank} in Bezug auf Container sprechen.
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