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f69012a5aae2d22162dfbd17c3d9e77f5165204b
error checking inheritance when using PEP585 and PEP604 type hints (#3681)
* Add tests * Fix the issue * Add changes file * Improved convert_generics * Add default fallback to convert_generics Improved Annotated and Literal handling * Fix Cython doesn't support generic types (PEP560) Watch cython issue cython/cython#2753 Previous implementation can be used after cython 3.0 release * Add custom type test * Cosmetic fixes Co-authored-by: Samuel Colvin <samcolvin@gmail.com> * Fix typos * Add SelfReferencing test validation Add parametrization to * Fix: parametrization caused test discovery problem * Better explanation for a test case * Better assertions for model creation tests * Rerun CI Co-authored-by: Samuel Colvin <samcolvin@gmail.com>
pydantic
Data validation and settings management using Python type hints.
Fast and extensible, pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.7+; validate it with pydantic.
Help
See documentation for more details.
Installation
Install using pip install -U pydantic or conda install pydantic -c conda-forge.
For more installation options to make pydantic even faster,
see the Install section in the documentation.
A Simple Example
from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel
class User(BaseModel):
id: int
name = 'John Doe'
signup_ts: Optional[datetime] = 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)
#> 123
Contributing
For guidance on setting up a development environment and how to make a contribution to pydantic, see Contributing to Pydantic.
Reporting a Security Vulnerability
See our security policy.
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