code: def __call__(self, x):
      if isinstance(x, DATAFRAME_TYPE):
          return self.new_dataframe(
              [x],
              shape=x.shape,
              dtypes=x.dtypes,
              columns_value=x.columns_value,
              index_value=x.index_value,
          )
      else:
          self.output_types = x.op.output_types
          f = (
              self.new_series
              if self.output_types[0] == OutputType.series
              else self.new_index
          )
          return f(
              [x],
              shape=x.shape,
              dtype=x.dtype,
              index_value=x.index_value,
              name=x.name,
          )
  
file_path: mars/mars/dataframe/base/rechunk.py
imports: from typing import Tuple
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType
  from ...serialization.serializables import AnyField
  from ...tensor.rechunk.core import get_nsplits, gen_rechunk_infos, chunk_size_type
  from ...typing import TileableType
  from ...utils import has_unknown_shape
  from ..initializer import DataFrame, Series, Index
  from ..operands import DataFrameOperand, DataFrameOperandMixin, DATAFRAME_TYPE
  from ..utils import indexing_index_value, merge_index_value
label_desc: Use image node_id 1 for calling the DataFrameRechunk obj's underlying member method code with example usage: obj.__call__(x) and returns: self, f