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0c2f69c5002f0b098d479f25253e1cf55dbb028e
pydantic-mypy plugin config (#2908)
* add toml reader * fix path * skip configparser step * fix quotes * full pyproject.toml check * add doc note * cleaner formatting, raise ValueError for non-bool * fix tests * add bad config test case * add changelog file. * bump mypy to 0.902 * tweak change MD, fix formatting in requirements * import check around toml * switch to tomli for parsing to match mypy dependency * import check around toml/tomli * add note on tomli usage * more succinct changelog entry * fix quotes in changelog * linting fixes, remove unnecessary stub install * mypy checks on mypy plugin file * wrongly placed pragma no cover Co-authored-by: PrettyWood <em.jolibois@gmail.com>
pydantic
Data validation and settings management using Python type hinting.
Fast and extensible, pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.6+; 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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