Discard subalgebras with bottom/top

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Brandon Rozek 2024-11-05 13:01:45 -05:00 committed by GitHub
commit 8628107704
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2 changed files with 95 additions and 6 deletions

65
vsp.py
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@ -8,7 +8,7 @@ from common import set_to_str
from model import (
Model, model_closure, ModelFunction, ModelValue
)
from logic import Implication, Operation
from logic import Conjunction, Disjunction, Implication, Operation
def preseed(
initial_set: Set[ModelValue],
@ -38,6 +38,40 @@ def preseed(
same_set = candidate_preseed[1] == 0
return candidate_preseed[0], same_set
def find_top(algebra: Set[ModelValue], mconjunction: Optional[ModelFunction], mdisjunction: Optional[ModelFunction]) -> Optional[ModelValue]:
"""
Find the top of the order lattice.
T || a = T, T && a = a for all a in the carrier set
"""
if mconjunction is None or mdisjunction is None:
return None
for x in algebra:
for y in algebra:
if mdisjunction(x, y) == x and mconjunction(x, y) == y:
return x
print("[Warning] Failed to find the top of the lattice")
return None
def find_bottom(algebra: Set[ModelValue], mconjunction: Optional[ModelFunction], mdisjunction: Optional[ModelFunction]) -> Optional[ModelValue]:
"""
Find the bottom of the order lattice
F || a = a, F && a = F for all a in the carrier set
"""
if mconjunction is None or mdisjunction is None:
return None
for x in algebra:
for y in algebra:
if mdisjunction(x, y) == y and mconjunction(x, y) == x:
return x
print("[Warning] Failed to find the bottom of the lattice")
return None
class VSP_Result:
def __init__(
self, has_vsp: bool, model_name: Optional[str] = None,
@ -62,6 +96,10 @@ def has_vsp(model: Model, interpretation: Dict[Operation, ModelFunction]) -> VSP
sharing property.
"""
impfunction = interpretation[Implication]
mconjunction = interpretation.get(Conjunction)
mdisjunction = interpretation.get(Disjunction)
top = find_top(model.carrier_set, mconjunction, mdisjunction)
bottom = find_bottom(model.carrier_set, mconjunction, mdisjunction)
# NOTE: No models with only one designated
# value satisfies VSP
@ -101,28 +139,45 @@ def has_vsp(model: Model, interpretation: Dict[Operation, ModelFunction]) -> VSP
# NOTE: Optimziation before model_closure
# If the carrier set intersects, then move on to the next
# subalgebra
# If the two subalgebras intersect, move
# onto the next pair
if len(xs & ys) > 0:
continue
# NOTE: Optimization
# if either subalgebra contains top or bottom, move
# onto the next pair
if top is not None and (top in xs or top in ys):
continue
if bottom is not None and (bottom in xs or bottom in ys):
continue
# Compute the closure of all operations
# with just the xs
carrier_set_left: Set[ModelValue] = model_closure(xs, model.logical_operations)
carrier_set_left: Set[ModelValue] = model_closure(xs, model.logical_operations, top, bottom)
# Save to cache
if cached_xs[0] is not None and not cached_ys[1]:
closure_cache.append((orig_xs, carrier_set_left))
if top is not None and top in carrier_set_left:
continue
if bottom is not None and bottom in carrier_set_left:
continue
# Compute the closure of all operations
# with just the ys
carrier_set_right: Set[ModelValue] = model_closure(ys, model.logical_operations)
carrier_set_right: Set[ModelValue] = model_closure(ys, model.logical_operations, top, bottom)
# Save to cache
if cached_ys[0] is not None and not cached_ys[1]:
closure_cache.append((orig_ys, carrier_set_right))
if top is not None and top in carrier_set_right:
continue
if bottom is not None and bottom in carrier_set_right:
continue
# If the carrier set intersects, then move on to the next
# subalgebra