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Check for top and bottom within subalgebra
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1 changed files with 30 additions and 19 deletions
49
vsp.py
49
vsp.py
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@ -38,31 +38,38 @@ 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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def find_top(algebra: Set[ModelValue], mconjunction: Optional[ModelFunction], mdisjunction: Optional[ModelFunction]) -> Optional[ModelValue]:
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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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Find the top of the order lattice.
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T || a = T, T && a = a for all a in the carrier set
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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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return None
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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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for x in algebra:
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for y in algebra:
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if mdisjunction(x, y) == x and mconjunction(x, y) == y:
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return x
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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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print("[Warning] Failed to find the top of the lattice")
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return None
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return False
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def find_bottom(algebra: Set[ModelValue], mconjunction: Optional[ModelFunction], mdisjunction: Optional[ModelFunction]) -> Optional[ModelValue]:
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"""
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Find the bottom of the order lattice
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F || a = a, F && a = F for all a in the carrier set
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"""
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if mconjunction is None or mdisjunction is None:
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return None
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for x in algebra:
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for y in algebra:
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if mdisjunction(x, y) == y and mconjunction(x, y) == x:
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return x
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print("[Warning] Failed to find the bottom of the lattice")
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return None
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class VSP_Result:
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@ -91,6 +98,8 @@ def has_vsp(model: Model, interpretation: Dict[Operation, ModelFunction]) -> VSP
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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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top = find_top(model.carrier_set, mconjunction, mdisjunction)
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bottom = find_bottom(model.carrier_set, mconjunction, mdisjunction)
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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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@ -133,7 +142,9 @@ def has_vsp(model: Model, interpretation: Dict[Operation, ModelFunction]) -> VSP
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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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if top is not None and (top in xs or top in ys):
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continue
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if bottom is not None and (bottom in xs or bottom in ys):
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continue
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# Compute the closure of all operations
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