code: def __call__(self, lhs, rhs):
      lhs = self._process_input(lhs)
      rhs = self._process_input(rhs)
      if not isinstance(rhs, (DATAFRAME_TYPE, SERIES_TYPE)):
          rhs = astensor(rhs)
          test_rhs = rhs
      else:
          test_rhs = rhs.to_tensor()
  
      test_ret = lhs.to_tensor().dot(test_rhs)
      if test_ret.ndim == 0:
          if isinstance(lhs, SERIES_TYPE) and isinstance(
              rhs, TENSOR_TYPE
          ):
              # return tensor
              return test_ret
          return self.new_scalar([lhs, rhs], dtype=test_ret.dtype)
      elif test_ret.ndim == 1:
          if lhs.ndim == 1:
              if hasattr(rhs, "columns_value"):
                  index_value = rhs.columns_value
              else:
                  # tensor
                  length = (
                      -1 if np.isnan(rhs.shape[1]) else rhs.shape[1]
                  )
                  pd_index = pd.RangeIndex(length)
                  index_value = parse_index(pd_index, store_data=True)
          else:
              assert rhs.ndim == 1
              index_value = lhs.index_value
          return self.new_series(
              [lhs, rhs],
              shape=test_ret.shape,
              dtype=test_ret.dtype,
              index_value=index_value,
          )
      else:
          if isinstance(rhs, TENSOR_TYPE):
              dtypes = pd.Series(
                  np.repeat(test_ret.dtype, test_ret.shape[1]),
                  index=pd.RangeIndex(test_ret.shape[1]),
              )
              columns_value = parse_index(dtypes.index, store_data=True)
          else:
              dtypes = pd.Series(
                  np.repeat(test_ret.dtype, test_ret.shape[1]),
                  index=rhs.columns_value.to_pandas(),
              )
              columns_value = rhs.columns_value
          return self.new_dataframe(
              [lhs, rhs],
              shape=test_ret.shape,
              index_value=lhs.index_value,
              columns_value=columns_value,
              dtypes=dtypes,
          )
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import KeyField, AnyField
  from ...tensor import tensor
  from ...tensor.core import TENSOR_TYPE
  from ...tensor.utils import decide_unify_split, validate_axis
  from ..core import DATAFRAME_TYPE, SERIES_TYPE, IndexValue
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index
label_desc: Use image node_id 3 for calling the DataFrameDot obj's underlying member method code with example usage: obj.__call__(lhs, rhs) and returns: self, test_ret, self, self