Eric Jolibois 09a5e28fc7 ci: fix it by pinning importlib-metadata (#2202)
`importlib-metadata` now requires python3.8+ or `typing-extensions` since [3.2.0](https://github.com/python/importlib_metadata/commit/530f5da8dd3a255f1198f29ea0126b8b25e644d8#diff-cc51f8e0c17159a1860664f70a89eba0d48c641f4deafe74912a7274dff91a34R15)
And `pytest` doesn't pin the version of `importlib-metadata`.
So on the CI when we uninstall `typing-extensions` **after** installing `pytest`, it crashes!
Let's pin `importlib-metadata` to 3.1.0 for now
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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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