code: def __call__(self, inp):
      test_series = build_series(inp).value_counts(
          normalize=self.normalize
      )
      if self.bins is not None:
          from .cut import cut
  
          # cut
          try:
              inp = cut(inp, self.bins, include_lowest=True)
          except TypeError:  # pragma: no cover
              raise TypeError(
                  "bins argument only works with numeric data."
              )
  
          self.bins = None
          self.convert_index_to_interval = True
          return self.new_series(
              [inp],
              shape=(np.nan,),
              index_value=parse_index(
                  pd.CategoricalIndex([]), inp, store_data=False
              ),
              name=inp.name,
              dtype=test_series.dtype,
          )
      else:
          return self.new_series(
              [inp],
              shape=(np.nan,),
              index_value=parse_index(
                  test_series.index, store_data=False
              ),
              name=inp.name,
              dtype=test_series.dtype,
          )
  
file_path: mars/mars/dataframe/base/value_counts.py
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, BoolField, Int64Field, StringField
  from ...utils import has_unknown_shape, pd_release_version
  from ..core import Series
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_series, parse_index
label_desc: Use image node_id 3 for calling the DataFrameValueCounts obj's underlying member method code with example usage: obj.__call__(inp) and returns: self, self