code: def __call__(
      self, df_or_series, dtypes=None, dtype=None, name=None, index=None
  ):
      axis = getattr(self, "axis", None) or 0
      dtypes = make_dtypes(dtypes)
      dtype = make_dtype(dtype)
      self._axis = validate_axis(axis, df_or_series)
  
      if (
          self.output_types
          and self.output_types[0] == OutputType.df_or_series
      ):
          return self._call_df_or_series(df_or_series)
  
      if df_or_series.op.output_types[0] == OutputType.dataframe:
          return self._call_dataframe(
              df_or_series,
              dtypes=dtypes,
              dtype=dtype,
              name=name,
              index=index,
          )
      else:
          return self._call_series(
              df_or_series,
              dtypes=dtypes,
              dtype=dtype,
              name=name,
              index=index,
          )
  
imports: import inspect
  import numpy
  import pandas
  from ...None import opcodes
  from ...config import options
  from ...core import OutputType, recursive_tile
  from ...core.custom_log import redirect_custom_log
  from ...core.operand import OperatorLogicKeyGeneratorMixin
  from ...serialization.serializables import StringField, AnyField, BoolField, TupleField, DictField, FunctionField
  from ...utils import enter_current_session, quiet_stdio, get_func_token, tokenize
  from ..arrays import ArrowArray
  from ..operands import DataFrameOperandMixin, DataFrameOperand
  from ..utils import build_df, build_series, parse_index, validate_axis, validate_output_types, make_dtypes, make_dtype, build_empty_df, build_empty_series, clean_up_func, restore_func
label_desc: Use image node_id 26 for calling the ApplyOperand obj's underlying member method code with example usage: obj.__call__(df_or_series, dtypes, dtype, name, index) and returns: self, self, self