def test_as_abs_painters(self) -> None:
canvas = Canvas.make_from((1, None, 1, '=', 2))
rmem: WithAdjacentRelativePainters = RMem.make_instance( # type: ignore[assignment]
(WithAdjacentRelativePainters, LinearClarityWeight))
p = (Match(1), Right(1), '+')
self.assertCountEqual(rmem.as_abs_painters(canvas, p), [(1, 2, '+'),
(3, 4, '+')])
def testCountColumns(self) -> None:
rmem = RMem.make_instance((WithCountColumns, RMemAbs))
rmem.absorb_canvases(self.eqns)
#print(rmem.niters)
for cue in self.cues:
#print(rmem.regenerate(cue))
pass
def test_with_random_salt(self) -> None:
rmem: WithRandomSalt = \
RMem.make_instance((WithRandomSalt, RMemAbs)) # type: ignore[assignment]
eqn = (1, '+', 1, '=', 2)
self.assertEqual(
len(as_tuple(rmem.prep_absorb(eqn))),
15 # prepended rmem.nsalt random numbers
)
self.assertEqual(as_tuple(rmem.prep_regen(eqn)), (None, ) * 10 + eqn)
def test_with_sequential_salt(self) -> None:
rmem: WithSequentialSalt = \
RMem.make_instance((WithSequentialSalt, RMemAbs)) # type: ignore[assignment]
eqn = (1, '+', 1, '=', 2)
self.assertEqual(as_tuple(rmem.prep_absorb(eqn)),
(1, 2, 3, 4, 5) + eqn)
self.assertEqual(as_tuple(rmem.prep_regen(eqn)),
(None, None, None, None, None) + eqn)
def make_rmem(self) -> RMem:
if isinstance(self.rmem, RMem):
return self.rmem
else:
if isinstance(self.rmem, tuple):
rmem = RMem.make_instance(self.rmem, **self.kwargs)
else:
rmem = self.rmem.make_instance(**self.kwargs)
rmem.absorb_canvases(self.make_initial_canvases())
return rmem
def test_with_ndups(self) -> None:
rmem: WithNDups = \
RMem.make_instance((WithNDups, RMemAbs), ndups=3) # type: ignore[assignment]
eqn = (1, '+', 1, '=', 2)
self.assertEqual(rmem.prep_absorb(eqn), eqn * 4)
self.assertEqual(rmem.prep_regen(eqn), (None, ) * 5 * 3 + eqn)