faster get_bounds for manhattan refs

master
jan 1 year ago
parent 234264c0af
commit 8959101162

@ -310,6 +310,7 @@ class Pattern(PortList, AnnotatableImpl, Mirrorable):
self,
library: Mapping[str, 'Pattern'] | None = None,
recurse: bool = True,
cache: MutableMapping[str, NDArray[numpy.float64]] | None = None,
) -> NDArray[numpy.float64] | None:
"""
Return a `numpy.ndarray` containing `[[x_min, y_min], [x_max, y_max]]`, corresponding to the
@ -325,37 +326,62 @@ class Pattern(PortList, AnnotatableImpl, Mirrorable):
if self.is_empty():
return None
min_bounds = numpy.array((+inf, +inf))
max_bounds = numpy.array((-inf, -inf))
rbounds = numpy.array([
(+inf, +inf),
(-inf, -inf),
])
for entry in chain_elements(self.shapes, self.labels):
bounds = cast(Bounded, entry).get_bounds()
if bounds is None:
continue
min_bounds = numpy.minimum(min_bounds, bounds[0, :])
max_bounds = numpy.maximum(max_bounds, bounds[1, :])
rbounds[0] = numpy.minimum(rbounds[0], bounds[0])
rbounds[1] = numpy.maximum(rbounds[1], bounds[1])
if recurse and self.has_refs():
if library is None:
raise PatternError('Must provide a library to get_bounds() to resolve refs')
if cache is None:
cache = {}
for target, refs in self.refs.items():
if target is None:
continue
if not refs:
continue
target_pat = library[target]
if target in cache:
unrot_bounds = cache[target]
elif any(numpy.isclose(ref.rotation % pi, 0) for ref in refs):
unrot_bounds = library[target].get_bounds(library=library, recurse=recurse, cache=cache)
cache[target] = unrot_bounds
for ref in refs:
bounds = ref.get_bounds(target_pat, library=library)
if numpy.isclose(ref.rotation % pi, 0):
if unrot_bounds is None:
bounds = None
else:
ubounds = unrot_bounds.copy()
mirr_x, rot2 = normalize_mirror(ref.mirrored)
if mirr_x:
ubounds[:, 1] *= -1
bounds = numpy.round(rotation_matrix(ref.rotation + rot2)) @ ubounds
# note: rounding fixes up
else:
# Non-manhattan rotation, have to figure out bounds by rotating the pattern
bounds = ref.get_bounds(library[target], library=library)
if bounds is None:
continue
min_bounds = numpy.minimum(min_bounds, bounds[0, :])
max_bounds = numpy.maximum(max_bounds, bounds[1, :])
if (max_bounds < min_bounds).any():
rbounds[0] = numpy.minimum(rbounds[0], bounds[0])
rbounds[1] = numpy.maximum(rbounds[1], bounds[1])
if (rbounds[1] < rbounds[0]).any():
return None
else:
return numpy.vstack((min_bounds, max_bounds))
return rbounds
def get_bounds_nonempty(
self,

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