code: def __call__(self, df_or_series):
      def _check_input_index(obj, axis=None):
          axis = axis if axis is not None else self.axis
          if isinstance(obj, DATAFRAME_TYPE) and (
              df_or_series.columns_value.key != obj.columns_value.key
              or df_or_series.index_value.key != obj.index_value.key
          ):
              raise NotImplementedError(
                  "Aligning different indices not supported"
              )
          elif (
              isinstance(obj, SERIES_TYPE)
              and df_or_series.axes[axis].index_value.key
              != obj.index_value.key
          ):
              raise NotImplementedError(
                  "Aligning different indices not supported"
              )
  
      _check_input_index(self.cond, axis=0)
      _check_input_index(self.other)
  
      if isinstance(df_or_series, DATAFRAME_TYPE):
          mock_obj = build_df(df_or_series)
      else:
          mock_obj = build_series(df_or_series)
  
      if isinstance(self.other, (pd.DataFrame, DATAFRAME_TYPE)):
          mock_other = build_df(self.other)
      elif isinstance(self.other, (pd.Series, SERIES_TYPE)):
          mock_other = build_series(self.other)
      else:
          mock_other = self.other
  
      result_df = mock_obj.where(
          np.zeros(mock_obj.shape).astype(bool),
          other=mock_other,
          axis=self.axis,
          level=self.level,
          errors=self.errors,
          try_cast=self.try_cast,
      )
  
      inputs = filter_inputs([df_or_series, self.cond, self.other])
      if isinstance(df_or_series, DATAFRAME_TYPE):
          return self.new_dataframe(
              inputs,
              shape=df_or_series.shape,
              dtypes=result_df.dtypes,
              index_value=df_or_series.index_value,
              columns_value=df_or_series.columns_value,
          )
      else:
          return self.new_series(
              inputs,
              shape=df_or_series.shape,
              name=df_or_series.name,
              dtype=result_df.dtype,
              index_value=df_or_series.index_value,
          )
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import ENTITY_TYPE, recursive_tile
  from ...serialization.serializables import AnyField, Int32Field, BoolField, StringField
  from ...tensor.utils import filter_inputs
  from ..core import DATAFRAME_TYPE, SERIES_TYPE
  from ..operands import DataFrameOperandMixin, DataFrameOperand
  from ..utils import build_df, build_series, validate_axis
label_desc: Use image node_id 10 for calling the DataFrameWhere obj's underlying member method code with example usage: obj.__call__(df_or_series) and returns: self, self