[Python] Should I use Pydantic with `typing` module (`Dict`, `List`, etc.) or native Python...

I’m working with Pydantic for data validation in Python and noticed that I can define models using both the typing module (Dict, List, etc.) and native Python types (dict, list, etc.).

For example, both of these work in Python 3.9+:

Using typing.Dict (from typing module)

from typing import Dict, List
from pydantic import BaseModel

class MyModel(BaseModel):
report: str
results: List[int] # Using `List` from `typing`

example = MyModel(report="Summary", results=[1, 2, 3])
print(example)


Using native dict and list (Python 3.9+)

from pydantic import BaseModel

class MyModel(BaseModel):
report: str
results: list[int] # Using native `list`

example = MyModel(report="Summary", results=[1, 2, 3])
print(example)


Which approach is recommended for Pydantic models and why?

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