code: def __call__(self, elements):
      inputs = [elements]
      if isinstance(self.values, ENTITY_TYPE):
          inputs.append(self.values)
      elif isinstance(self.values, dict):
          for v in self.values.values():
              if isinstance(v, ENTITY_TYPE):
                  inputs.append(v)
  
      if elements.ndim == 1:
          return self.new_series(
              inputs,
              shape=elements.shape,
              dtype=np.dtype("bool"),
              index_value=elements.index_value,
              name=elements.name,
          )
      else:
          dtypes = pd.Series(
              [np.dtype(bool) for _ in elements.dtypes],
              index=elements.dtypes.index,
          )
          return self.new_dataframe(
              inputs,
              shape=elements.shape,
              index_value=elements.index_value,
              columns_value=elements.columns_value,
              dtypes=dtypes,
          )
  
imports: import itertools
  import numpy
  import pandas
  from pandas.api.types import is_list_like
  from ...None import opcodes
  from ...core import ENTITY_TYPE
  from ...serialization.serializables import KeyField, AnyField
  from ...tensor.core import TENSOR_TYPE
  from ..core import DATAFRAME_TYPE, SERIES_TYPE, INDEX_TYPE, OutputType
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from .drop_duplicates import DataFrameDropDuplicates
label_desc: Use image node_id 2 for calling the DataFrameIsin obj's underlying member method code with example usage: obj.__call__(elements) and returns: self, self