iand#

rlemasklib.RLEMask.__iand__(other)[source]#

Compute the intersection with another RLEMask in place.

Parameters:: other (RLEMask) – the other RLEMask
Returns:: Self
Return type:: RLEMask

Examples

>>> rle1 = RLEMask(np.eye(3))
>>> rle2 = RLEMask(np.eye(3)[::-1])
>>> rle1 &= rle2
>>> np.array(rle1)
array([[0, 0, 0],
       [0, 1, 0],
       [0, 0, 0]], dtype=uint8)

__iand__#

iand#