Feature request: support for pydantic types

Thank you for the really nice library!

This would be such an awesome feature to have:

from hypothesis_auto import auto_test
from pydantic import BaseModel, ValidationError, validator


class UserModel(BaseModel):
    name: str
    password1: str
    password2: str

    @validator('name')
    def name_must_contain_space(cls, v):
        if ' ' not in v:
            raise ValueError('must contain a space')
        return v.title()


def create_user(user: UserModel):
    print(user)
    assert True


print(UserModel(name='samuel colvin', password1='zxcvbn', password2='zxcvbn'))
auto_test(create_user)  # Throws `pydantic.ValidationError` :-(

[samuelcolvin]

On the pydantic side it was mostly @MrMrRobat finding a way to implement the signature.

Well done, all.

[Zac-HD]

See https://github.com/samuelcolvin/pydantic/issues/1032 - once upstream sets the signature for introspection, Hypothesis will pick it up with our existing features. So there’s nothing for hypothesis-auto to do but wait!