code: def reset_index(self, **kwargs):
          
          drop = kwargs.get("drop", False)
          new_index = pandas.RangeIndex(len(self.index))
          if not drop:
              if isinstance(self.index, pandas.MultiIndex):
                  # TODO (devin-petersohn) ensure partitioning is properly aligned
                  new_column_names = pandas.Index(self.index.names)
                  new_columns = new_column_names.append(self.columns)
                  index_data = pandas.DataFrame(list(zip(*self.index))).T
                  result = self.data.from_pandas(index_data).concat(1, self.data)
                  return self.__constructor__(result, new_index, new_columns)
              else:
                  new_column_name = (
                      self.index.name
                      if self.index.name is not None
                      else "index"
                      if "index" not in self.columns
                      else "level_0"
                  )
                  new_columns = self.columns.insert(0, new_column_name)
                  result = self.insert(0, new_column_name, self.index)
                  return self.__constructor__(result.data, new_index, new_columns)
          else:
              # The copies here are to ensure that we do not give references to
              # this object for the purposes of updates.
              return self.__constructor__(
                  self.data.copy(), new_index, self.columns.copy(), self._dtype_cache
              )
docs: Removes all levels from index and sets a default level_0 index.
  
          Returns:
              A new QueryCompiler with updated data and reset index.