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Futile attempts at improving average runtime
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1 changed files with 37 additions and 13 deletions
50
vsp.py
50
vsp.py
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@ -44,35 +44,59 @@ def has_vsp(model: Model, impfunction: ModelFunction,
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bottom = model.ordering.bottom()
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C: Dict[ModelValue, Set[ModelValue]] = {}
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U: Dict[ModelValue, Set[ModelValue]] = {}
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for d in model.designated_values:
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C[d] = model_closure({d,}, model.logical_operations, None)
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U[d] = {y for y in model.designated_values if impfunction(d, y) in model.designated_values}
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for x in model.designated_values:
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# Discard ({⊥} ∪ A', B) subalgebras
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if bottom is not None and x == bottom:
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continue
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# Discard ({⊤} ∪ A', B) subalgebras when negation is defined
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if top is not None and negation_defined and x == top:
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continue
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if x not in C:
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C[x] = model_closure({x,}, model.logical_operations, None)
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Xs = C[x]
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# Discard ({⊥} ∪ A', B) subalgebras
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if bottom is not None and bottom in Xs:
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continue
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# Discard ({⊤} ∪ A', B) subalgebras when negation is defined
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if top is not None and negation_defined and top in Xs:
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continue
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Ux = U[x]
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for y in model.designated_values - Xs - Ux:
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for y in model.designated_values - Xs:
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# Discard (A, {⊤} ∪ B') subalgebras
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if top is not None and y == top:
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continue
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# Discard (A, {⊥} ∪ B') subalgebras when negation is defined
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if bottom is not None and negation_defined and y == bottom:
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continue
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# Discard ({a} ∪ A', {b} ∪ B') subalgebras when a <= b
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if model.ordering.is_lt(x, y):
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continue
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# Discard ({a} ∪ A', {b} ∪ B') subalgebras when b <= a and negation is defined
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if negation_defined and model.ordering.is_lt(y, x):
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continue
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if y not in C:
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C[y] = model_closure({y,}, model.logical_operations, None)
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Ys = C[y]
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# Discard (A, {⊤} ∪ B') subalgebras
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if top is not None and top in Ys:
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continue
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# Discard (A, {⊥} ∪ B') subalgebras when negation is defined
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if bottom is not None and negation_defined and bottom in Ys:
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continue
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if not Xs.isdisjoint(Ys):
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continue
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@ -81,8 +105,8 @@ def has_vsp(model: Model, impfunction: ModelFunction,
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if impfunction(xi, yi) in model.designated_values:
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falsified = False
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break
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if falsified:
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return VSP_Result(True, model.name, Xs, Ys)
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return VSP_Result(False, model.name)
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