Eric Jolibois 4a54f393ad Add python 3.10 support (#2885)
* refactor: extra `BaseConfig` and `Extra` in dedicated `config` module

* refactor: clean useless `#noqa: F401`

* refactor: clean useless `#noqa: F811`

* refactor: replace enum check

Error with 3.10
> DeprecationWarning: accessing one member from another is not supported

* refactor: avoid using `distutils` directly

error with python 3.10
> DeprecationWarning: The distutils package is deprecated and slated
> for removal in Python 3.12.
> Use setuptools or check PEP 632 for potential alternatives

* fix: `__annotations__` always exists

* fix: origin of `typing.Hashable` is not `None`

* ci: add run with 3.10.0b2

* docs: add 3.10

* feat: support `|` union operator properly

`|` operator has origin `types.Union` (and not `typing.Union`)

* fix: enum repr is different with 3.10+

* fix: error message changed a bit

change from basic `__init__` to `test_hashable_required.<locals>.MyDataclass.__init__()` (with `__qualname__`)

* fix:  always exists and is not inherited anymore

* fix: avoid calling `asyncio.get_event_loop` directly

With python 3.10, calling it results in
> DeprecationWarning: There is no current event loop

* fix(ci): do not run 3.10 on linux for now

For now it can not be compiled.
Let's just skip the check on linux for now instead of tuning the CI pipeline

* fix(ci): ignore DeprecationWarning raised by `mypy` on windows

* docs: add change file
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pydantic

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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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