code: def __call__(self, df_or_series):
      params = df_or_series.params.copy()
  
      if isinstance(df_or_series, DATAFRAME_TYPE):
          self.output_types = [OutputType.dataframe]
          mock_obj = build_empty_df(df_or_series.dtypes)
          params["dtypes"] = mock_obj.diff().dtypes
      else:
          self.output_types = [OutputType.series]
          mock_obj = build_empty_series(
              df_or_series.dtype, name=df_or_series.name
          )
          params["dtype"] = mock_obj.diff().dtype
  
      return self.new_tileable([df_or_series], **params)
  
imports: import itertools
  import numpy
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import AnyField, Int8Field, Int64Field
  from ..core import DATAFRAME_TYPE, OutputType
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_empty_df, build_empty_series, validate_axis
  from .shift import DataFrameShift
label_desc: Use image node_id 5 for calling the DataFrameDiff obj's underlying member method code with example usage: obj.__call__(df_or_series) and returns: self