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docs_src/security/tutorial003_an_py39.py
from pydantic import BaseModel fake_users_db = { "johndoe": { "username": "johndoe", "full_name": "John Doe", "email": "******@****.***", "hashed_password": "fakehashedsecret", "disabled": False, }, "alice": { "username": "alice", "full_name": "Alice Wonderson", "email": "******@****.***", "hashed_password": "fakehashedsecret2",
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docs/zh/docs/tutorial/extra-models.md
```Python UserInDB( username="john", password="secret", email="******@****.***", full_name=None, ) ``` 或更精准,直接把可能会用到的内容与 `user_dict` 一起使用: ```Python UserInDB( username = user_dict["username"], password = user_dict["password"], email = user_dict["email"], full_name = user_dict["full_name"], ) ``` #### 用其它模型中的内容生成 Pydantic 模型
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docs/de/docs/tutorial/extra-models.md
password="secret", email="******@****.***", full_name=None, ) ``` Oder, präziser, `user_dict` wird direkt verwendet, welche Werte es auch immer haben mag: ```Python UserInDB( username = user_dict["username"], password = user_dict["password"], email = user_dict["email"], full_name = user_dict["full_name"], ) ```
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docs/ja/docs/tutorial/extra-models.md
UserInDB( username="john", password="secret", email="******@****.***", full_name=None, ) ``` もっと正確に言えば、`user_dict`を将来的にどんな内容であっても直接使用することになります: ```Python UserInDB( username = user_dict["username"], password = user_dict["password"], email = user_dict["email"], full_name = user_dict["full_name"], ) ``` #### 別のモデルからつくるPydanticモデル
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docs/ru/docs/tutorial/extra-models.md
email="******@****.***", full_name=None, ) ``` Или, если для большей точности мы напрямую используем `user_dict` с любым потенциальным содержимым, то этот пример будет выглядеть так: ```Python UserInDB( username = user_dict["username"], password = user_dict["password"], email = user_dict["email"], full_name = user_dict["full_name"], ) ```
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docs_src/security/tutorial003_an.py
from typing_extensions import Annotated fake_users_db = { "johndoe": { "username": "johndoe", "full_name": "John Doe", "email": "******@****.***", "hashed_password": "fakehashedsecret", "disabled": False, }, "alice": { "username": "alice", "full_name": "Alice Wonderson", "email": "******@****.***", "hashed_password": "fakehashedsecret2",
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Mar 26 16:56:53 GMT 2024 - 2.5K bytes - Viewed (0) -
docs_src/security/tutorial003_an_py310.py
from pydantic import BaseModel fake_users_db = { "johndoe": { "username": "johndoe", "full_name": "John Doe", "email": "******@****.***", "hashed_password": "fakehashedsecret", "disabled": False, }, "alice": { "username": "alice", "full_name": "Alice Wonderson", "email": "******@****.***", "hashed_password": "fakehashedsecret2",
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Mar 26 16:56:53 GMT 2024 - 2.5K bytes - Viewed (0) -
docs/en/docs/tutorial/extra-models.md
password="secret", email="******@****.***", full_name=None, ) ``` Or more exactly, using `user_dict` directly, with whatever contents it might have in the future: ```Python UserInDB( username = user_dict["username"], password = user_dict["password"], email = user_dict["email"], full_name = user_dict["full_name"], ) ``` #### A Pydantic model from the contents of another
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docs/pt/docs/tutorial/extra-models.md
password="secret", email="******@****.***", full_name=None, ) ``` Ou mais exatamente, usando `user_dict` diretamente, com qualquer conteúdo que ele possa ter no futuro: ```Python UserInDB( username = user_dict["username"], password = user_dict["password"], email = user_dict["email"], full_name = user_dict["full_name"], ) ```
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docs_src/security/tutorial005_an_py39.py
fake_users_db = { "johndoe": { "username": "johndoe", "full_name": "John Doe", "email": "******@****.***", "hashed_password": "$2b$12$EixZaYVK1fsbw1ZfbX3OXePaWxn96p36WQoeG6Lruj3vjPGga31lW", "disabled": False, }, "alice": { "username": "alice", "full_name": "Alice Chains", "email": "******@****.***",
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