from typing import Any, Dict, List, Optional, Union
from enum import Enum
from pydantic import BaseModel, Field
from .credit_pay_stub_address import CreditPayStubAddress
_ALIAS_MAP = {"name_": "name"}
[docs]class CreditPayStubEmployer(BaseModel):
[docs] class Config:
allow_population_by_field_name = True
alias_generator = lambda field: _ALIAS_MAP.get(field, field)
name_: Optional[str] = None
"""The name of the employer on the pay stub."""
address: CreditPayStubAddress
"""Address on the pay stub."""
[docs] def json(self, **kwargs: Any) -> str:
"""Return a json string representation of the object. Takes same keyword arguments as pydantic.BaseModel.json"""
kwargs.setdefault("by_alias", True)
return super().json(**kwargs)
[docs] def dict(self, **kwargs: Any) -> Dict[str, Any]:
"""Return a dict representation of the object. Takes same keyword arguments as pydantic.BaseModel.dict"""
kwargs.setdefault("by_alias", True)
return super().dict(**kwargs)
[docs] @classmethod
def parse_obj(cls, data: Any) -> "CreditPayStubEmployer":
"""Parse a dict into the object. Takes same keyword arguments as pydantic.BaseModel.parse_obj"""
return super().parse_obj(data)
[docs] @classmethod
def parse_raw(cls, b: Union[bytes, str], **kwargs: Any) -> "CreditPayStubEmployer":
"""Parse a json string into the object. Takes same keyword arguments as pydantic.BaseModel.parse_raw"""
return super().parse_raw(b, **kwargs)