code: def __call__(self, a, q_input=None):
      inputs = [a]
      if q_input is not None:
          inputs.append(q_input)
      if isinstance(a, DATAFRAME_TYPE):
          return self._call_dataframe(a, inputs)
      else:
          return self._call_series(a, inputs)
  
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 11 for calling the DataFrameQuantile obj's underlying member method code with example usage: obj.__call__(a, q_input) and returns: self, self