code: def _set_inputs(self, inputs):
      super()._set_inputs(inputs)
      inputs_iter = iter(self._inputs)
      self.input = next(inputs_iter)
      if len(self._inputs) > 1:
          if isinstance(self.values, dict):
              new_values = dict()
              for k, v in self.values.items():
                  if isinstance(v, ENTITY_TYPE):
                      new_values[k] = next(inputs_iter)
                  else:
                      new_values[k] = v
              self.values = new_values
          else:
              self.values = self._inputs[1]
  
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 1 for calling the DataFrameIsin obj's underlying member method code with example usage: obj._set_inputs(inputs) without return types