code: def default(self, o: type) -> t.Any:
      if dataclasses.is_dataclass(o):
          return dataclasses.asdict(o)
      if LazyType["ext.NpNDArray"]("numpy.ndarray").isinstance(o):
          return o.tolist()
      if LazyType["ext.NpGeneric"]("numpy.generic").isinstance(o):
          return o.item()
      if LazyType["ext.PdDataFrame"]("pandas.DataFrame").isinstance(o):
          return o.to_dict()  # type: ignore
      if LazyType["ext.PdSeries"]("pandas.Series").isinstance(o):
          return o.to_dict()  # type: ignore
      if LazyType["pydantic.BaseModel"](
          "pydantic.BaseModel"
      ).isinstance(o):
          obj_dict = o.dict()
          if "__root__" in obj_dict:
              obj_dict = obj_dict.get("__root__")
          return obj_dict
      if attr.has(o):
          return bentoml_cattr.unstructure(o)
      return super().default(o)
  
imports: from __future__ import annotations
  import dataclasses
  import json
  import logging
  import typing
  import attr
  from starlette.requests import Request
  from starlette.responses import Response
  from ...exceptions import BadInput
  from ...exceptions import InvalidArgument
  from ..service.openapi import REF_PREFIX
  from ..service.openapi import SUCCESS_DESCRIPTION
  from ..service.openapi.specification import MediaType
  from ..service.openapi.specification import Schema
  from ..types import LazyType
  from ..utils import LazyLoader
  from ..utils import bentoml_cattr
  from ..utils.http import set_cookies
  from ..utils.pkg import pkg_version_info
  from .base import IODescriptor
label_desc: Use image node_id 1 for calling the DefaultJsonEncoder obj's underlying member method code with example usage: obj.default(o) and returns: super, dataclasses, o, o, o, o, obj_dict, bentoml_cattr