code: def arange(start,stop,step=1,**kwargs):
      
      expand_value = 1 if step > 0 else -1
      return matlabarray(np.arange(start,
                                   stop+expand_value,
                                   step,
                                   **kwargs).reshape(1,-1),**kwargs)
docs: >>> a=arange(1,10) # 1:10
      >>> size(a)
      matlabarray([[ 1, 10]])