code: def _set_inputs(self, inputs):
      super()._set_inputs(inputs)
      self._input = self._inputs[0]
      if isinstance(self._q, (TENSOR_TYPE, TENSOR_CHUNK_TYPE)):
          self._q = self._inputs[-1]
  
imports: from collections import OrderedDict
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import ENTITY_TYPE, recursive_tile
  from ...serialization.serializables import KeyField, AnyField, StringField, DataTypeField, BoolField, Int32Field
  from ...tensor.core import TENSOR_TYPE, TENSOR_CHUNK_TYPE
  from ...tensor.datasource import empty, tensor, from_series, from_dataframe
  from ...tensor.statistics.quantile import quantile
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..core import DATAFRAME_TYPE
  from ..datasource.from_tensor import series_from_tensor, dataframe_from_tensor
  from ..initializer import DataFrame
  from ..utils import parse_index, build_empty_df, find_common_type, validate_axis
label_desc: Use image node_id 7 for calling the DataFrameQuantile obj's underlying member method code with example usage: obj._set_inputs(inputs) without return types