code: def from_cells(cls, cells):
          
          shift = (AbstractMOC.HPY_MAX_NORDER - cells["depth"]) << 1
  
          p1 = cells["ipix"]
          p2 = cells["ipix"] + 1
  
          intervals = np.vstack((p1 << shift, p2 << shift)).T
  
          return cls(IntervalSet(intervals))
docs: Creates a MOC from a numpy array representing the HEALPix cells.
  
          Parameters
          ----------
          cells : `numpy.ndarray`
              Must be a numpy structured array (See https://docs.scipy.org/doc/numpy-1.15.0/user/basics.rec.html).
              The structure of a cell contains 3 attributes:
  
              - A `ipix` value being a np.uint64
              - A `depth` value being a np.uint32
              - A `fully_covered` flag bit stored in a np.uint8
  
          Returns
          -------
          moc : `~mocpy.moc.MOC`
              The MOC.