def test_broadcast_shapes_raises():
# tests public broadcast_shapes
data = [
[(3, ), (4, )],
[(2, 3), (2, )],
[(3, ), (3, ), (4, )],
[(1, 3, 4), (2, 3, 3)],
[(1, 2), (3, 1), (3, 2), (10, 5)],
[2, (2, 3)],
]
for input_shapes in data:
assert_raises(ValueError, lambda: broadcast_shapes(*input_shapes))
bad_args = [(2, )] * 32 + [(3, )] * 32
assert_raises(ValueError, lambda: broadcast_shapes(*bad_args))
def test_broadcast_shapes_succeeds():
# tests public broadcast_shapes
data = [
[[], ()],
[[()], ()],
[[(7, )], (7, )],
[[(1, 2), (2, )], (1, 2)],
[[(1, 1)], (1, 1)],
[[(1, 1), (3, 4)], (3, 4)],
[[(6, 7), (5, 6, 1), (7, ), (5, 1, 7)], (5, 6, 7)],
[[(5, 6, 1)], (5, 6, 1)],
[[(1, 3), (3, 1)], (3, 3)],
[[(1, 0), (0, 0)], (0, 0)],
[[(0, 1), (0, 0)], (0, 0)],
[[(1, 0), (0, 1)], (0, 0)],
[[(1, 1), (0, 0)], (0, 0)],
[[(1, 1), (1, 0)], (1, 0)],
[[(1, 1), (0, 1)], (0, 1)],
[[(), (0, )], (0, )],
[[(0, ), (0, 0)], (0, 0)],
[[(0, ), (0, 1)], (0, 0)],
[[(1, ), (0, 0)], (0, 0)],
[[(), (0, 0)], (0, 0)],
[[(1, 1), (0, )], (1, 0)],
[[(1, ), (0, 1)], (0, 1)],
[[(1, ), (1, 0)], (1, 0)],
[[(), (1, 0)], (1, 0)],
[[(), (0, 1)], (0, 1)],
[[(1, ), (3, )], (3, )],
[[2, (3, 2)], (3, 2)],
]
for input_shapes, target_shape in data:
assert_equal(broadcast_shapes(*input_shapes), target_shape)
assert_equal(broadcast_shapes(*([(1, 2)] * 32)), (1, 2))
assert_equal(broadcast_shapes(*([(1, 2)] * 100)), (1, 2))
# regression tests for gh-5862
assert_equal(broadcast_shapes(*([(2, )] * 32)), (2, ))