code: def repval(msmt, limitsok=False):
      
  
      if np.isscalar(msmt):
          return float(msmt)
      if isinstance(msmt, Uval):
          return msmt.repvals(uval_default_repval_method)[0]
      if isinstance(msmt, Lval):
          if not limitsok and msmt.kind in('tozero', 'toinf', 'pastzero'):
              raise LimitError()
          return msmt.value
      if isinstance(msmt, Textual):
          return msmt.repval(limitsok=limitsok)
  
      raise ValueError('don\'t know how to treat %r as a measurement' % msmt)
docs: Get a best-effort representative value as a float. This is DANGEROUS
      because it discards limit information, which is rarely wise. m_liminfo()
      or m_unwrap() are recommended instead.