code: def _parse_tensor(self, indices=False):
          '''Parse a tensor.'''
          if indices:
              self.line = self._skip_lines(1)
  
          tensor = np.zeros((3, 3))
          for i in range(3):
              tokens = self.line.split()
              if indices:
                  tensor[i][0] = float(tokens[1])
                  tensor[i][1] = float(tokens[2])
                  tensor[i][2] = float(tokens[3])
              else:
                  tensor[i][0] = float(tokens[0])
                  tensor[i][1] = float(tokens[1])
                  tensor[i][2] = float(tokens[2])
              self.line = self._skip_lines(1)
          return tensof _parse_tensor(self, indices=False):
          '''Parse a tensor.'''
          if indices:
              self.line = self._skip_lines(1)
  
          tensor = np.zeros((3, 3))
          for i in range(3):
              tokens = self.line.split()
              if indices:
                  tensor[i][0] = float(tokens[1])
                  tensor[i][1] = float(tokens[2])
                  tensor[i][2] = float(tokens[3])
              else:
                  tensor[i][0] = float(tokens[0])
                  tensor[i][1] = float(tokens[1])
                  tensor[i][2] = float(tokens[2])
              self.line = self._skip_lines(1)
          return tensor
docs: Parse a tensor.