code: def _infer_attrs_by_call(self, df_or_series):
      test_obj = (
          build_df(df_or_series, size=2)
          if df_or_series.ndim == 2
          else build_series(
              df_or_series, size=2, name=df_or_series.name
          )
      )
      kwargs = self.kwargs or dict()
      if self.with_chunk_index:
          kwargs["chunk_index"] = (0,) * df_or_series.ndim
      with np.errstate(all="ignore"), quiet_stdio():
          obj = self._func(test_obj, *self._args, **kwargs)
  
      if obj.ndim == 2:
          output_type = OutputType.dataframe
          dtypes = obj.dtypes
          if obj.shape == test_obj.shape:
              shape = (df_or_series.shape[0], len(dtypes))
          else:  # pragma: no cover
              shape = (np.nan, len(dtypes))
      else:
          output_type = OutputType.series
          dtypes = pd.Series([obj.dtype], name=obj.name)
          if obj.shape == test_obj.shape:
              shape = df_or_series.shape
          else:
              shape = (np.nan,)
  
      index_value = parse_index(
          obj.index, df_or_series, self._func, self._args, self._kwargs
      )
      return {
          "output_type": output_type,
          "index_value": index_value,
          "shape": shape,
          "dtypes": dtypes,
      }
  
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 15 for calling the DataFrameMapChunk obj's underlying member method code with example usage: obj._infer_attrs_by_call(df_or_series) and returns: dict