from pydantic import BaseModel
from pydantic.dataclasses import dataclass

class A(BaseModel):
    a: str

    def __init__(self, a = '123') -> None:
        super(A, self).__init__(a=a)

A('a')

@dataclass
class B():
    a: str


B('a')

1a0bfd6bf1c3cc054333183fcb2c0841326f7165
<mask token>


class A(BaseModel):
    a: str
    <mask token>


<mask token>


@dataclass
class B:
    a: str


<mask token>

<mask token>


class A(BaseModel):
    a: str

    def __init__(self, a='123') ->None:
        super(A, self).__init__(a=a)


<mask token>


@dataclass
class B:
    a: str


<mask token>

<mask token>


class A(BaseModel):
    a: str

    def __init__(self, a='123') ->None:
        super(A, self).__init__(a=a)


A('a')


@dataclass
class B:
    a: str


B('a')

from pydantic import BaseModel
from pydantic.dataclasses import dataclass


class A(BaseModel):
    a: str

    def __init__(self, a='123') ->None:
        super(A, self).__init__(a=a)


A('a')


@dataclass
class B:
    a: str


B('a')

from pydantic import BaseModel
from pydantic.dataclasses import dataclass

class A(BaseModel):
    a: str

    def __init__(self, a = '123') -> None:
        super(A, self).__init__(a=a)

A('a')

@dataclass
class B():
    a: str


B('a')
