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Optimization: Discard subalgebras with bottom/top
Currently this doesn't work since it discards the subalgebras {a3} and {a2} which show VSP for R using Model 5.2.1.1.3
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1 changed files with 38 additions and 3 deletions
41
vsp.py
41
vsp.py
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@ -8,7 +8,7 @@ from common import set_to_str
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from model import (
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Model, model_closure, ModelFunction, ModelValue
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)
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from logic import Implication, Operation
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from logic import Conjunction, Disjunction, Implication, Operation
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def preseed(
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initial_set: Set[ModelValue],
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@ -38,6 +38,33 @@ def preseed(
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same_set = candidate_preseed[1] == 0
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return candidate_preseed[0], same_set
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def has_top_bottom(subalgebra: Set[ModelValue], mconjunction: Optional[ModelFunction], mdisjunction: Optional[ModelFunction]):
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"""
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Checks the subalgebra to see whether it
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contains a top or bottom element.
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Note: This does not compute the closure.
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By definition,
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The top element is any element x where x || x = x
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The bottom element is any element x where x && x = x
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"""
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if mconjunction is None or mdisjunction is None:
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return False
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for x in subalgebra:
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if mconjunction(x, x) == x:
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# print("Bottom Element Found")
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return True
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if mdisjunction(x, x) == x:
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# print("Top Element Found")
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return True
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return False
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class VSP_Result:
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def __init__(
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self, has_vsp: bool, model_name: Optional[str] = None,
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@ -62,6 +89,8 @@ def has_vsp(model: Model, interpretation: Dict[Operation, ModelFunction]) -> VSP
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sharing property.
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"""
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impfunction = interpretation[Implication]
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mconjunction = interpretation.get(Conjunction)
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mdisjunction = interpretation.get(Disjunction)
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# Compute I the set of tuples (x, y) where
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# x -> y does not take a designiated value
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@ -96,11 +125,17 @@ def has_vsp(model: Model, interpretation: Dict[Operation, ModelFunction]) -> VSP
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# NOTE: Optimziation before model_closure
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# If the carrier set intersects, then move on to the next
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# subalgebra
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# If the two subalgebras intersect, move
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# onto the next pair
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if len(xs & ys) > 0:
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continue
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# NOTE: Optimization
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# if either subalgebra contains top or bottom, move
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# onto the next pair
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if has_top_bottom(xs, mconjunction, mdisjunction) or has_top_bottom(ys, mconjunction, mdisjunction):
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continue
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# Compute the closure of all operations
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# with just the xs
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carrier_set_left: Set[ModelValue] = model_closure(xs, model.logical_operations)
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