code: def __init__(
      self,
      input=None,
      func=None,
      args=None,
      kwargs=None,
      output_types=None,
      with_chunk_index=None,
      logic_key=None,
      func_key=None,
      need_clean_up_func=False,
      **kw,
  ):
      super().__init__(
          _input=input,
          _func=func,
          _args=args,
          _kwargs=kwargs,
          _output_types=output_types,
          _with_chunk_index=with_chunk_index,
          _logic_key=logic_key,
          _func_key=func_key,
          _need_clean_up_func=need_clean_up_func,
          **kw,
      )
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import recursive_tile, get_output_types, ENTITY_TYPE, CHUNK_TYPE
  from ...core.custom_log import redirect_custom_log
  from ...serialization.serializables import KeyField, FunctionField, TupleField, DictField, BoolField, StringField, AnyField
  from ...utils import enter_current_session, has_unknown_shape, quiet_stdio, find_objects, replace_objects
  from ..operands import DataFrameOperand, DataFrameOperandMixin, OutputType
  from ..utils import build_df, build_empty_df, build_series, parse_index, validate_output_types, build_empty_series, clean_up_func, restore_func
label_desc: Use image node_id 1 to create a new DataFrameMapChunk object from inherited base classes: DataFrameOperand, DataFrameOperandMixin with example: obj = DataFrameMapChunk(input, func, args, kwargs, output_types, with_chunk_index, logic_key, func_key, need_clean_up_func)