def test_shrinks_down_to_sorted_the_slow_way(ls):
# We normally would short-circuit and find that we can sort this
# automatically, but here we test that a single run_step could put the
# list in sorted order anyway if it had to, and that that is just an
# optimisation.
shrinker = Ordering(ls, lambda ls: True, random=Random(0), full=False)
shrinker.run_step()
assert list(shrinker.current) == sorted(ls)
def test_shrinks_down_to_sorted_the_slow_way(ls):
# We normally would short-circuit and find that we can sort this
# automatically, but here we test that a single run_step could put the
# list in sorted order anyway if it had to, and that that is just an
# optimisation.
shrinker = Ordering(ls, lambda ls: True, random=Random(0), full=False)
shrinker.run_step()
assert list(shrinker.current) == sorted(ls)
def test_adaptively_shrinks_around_hole():
initial = list(hrange(1000, 0, -1))
initial[500] = 2000
intended_result = sorted(initial)
intended_result.insert(500, intended_result.pop())
shrinker = Ordering(
initial, lambda ls: ls[500] == 2000, random=Random(0), full=True
)
shrinker.run()
assert shrinker.current[500] == 2000
assert list(shrinker.current) == intended_result
assert shrinker.calls <= 60
def test_can_partially_sort_a_list_2():
finish = Ordering.shrink(
[5, 4, 3, 2, 1, 0],
lambda x: x[0] > x[2],
random=Random(0), full=True
)
assert finish <= (1, 2, 0, 3, 4, 5)
def test_can_partially_sort_a_list():
finish = Ordering.shrink(
[5, 4, 3, 2, 1, 0],
lambda x: x[0] > x[-1],
random=Random(0),
)
assert finish == (1, 2, 3, 4, 5, 0)
def test_adaptively_shrinks_around_hole():
initial = list(range(1000, 0, -1))
initial[500] = 2000
intended_result = sorted(initial)
intended_result.insert(500, intended_result.pop())
shrinker = Ordering(initial,
lambda ls: ls[500] == 2000,
random=Random(0),
full=True)
shrinker.run()
assert shrinker.current[500] == 2000
assert list(shrinker.current) == intended_result
assert shrinker.calls <= 60
