def reverse_update_concrete_clauses(state,clauses=None):
""" Reverse an update concretely (compute concrete pre). If unsat,
throw UnsatCoreWithInterpolant.
"""
assert(state.pred != None and state.update != None) # can't reverse if no predecessor
if clauses == None:
clauses = state.clauses
axioms = state.domain.background_theory(state.in_scope)
fi = forward_interpolant(state.pred.clauses,state.update,clauses,state.domain.functions)
if fi:
raise UnsatCoreWithInterpolant(*fi)
return and_clauses(reverse_image(clauses,state.update), axioms)
def reverse_update_concrete_clauses(state,clauses=None):
""" Reverse an update concretely (compute concrete pre). If unsat,
throw UnsatCoreWithInterpolant.
"""
assert(state.pred != None and state.update != None) # can't reverse if no predecessor
if clauses == None:
clauses = state.clauses
axioms = state.domain.background_theory(state.in_scope)
fi = forward_interpolant(state.pred.clauses,state.update,clauses,axioms,state.domain.functions)
if fi:
raise UnsatCoreWithInterpolant(*fi)
return and_clauses(reverse_image(clauses,axioms,state.update), axioms)
def refine_or_reverse(goal):
preds, action = arg_get_preds_action(goal.node)
assert action != "join"
assert len(preds) == 1
pred = preds[0]
axioms = _ivy_interp.background_theory()
# import IPython
# IPython.embed()
print "calling ivy_transrel.forward_interpolant"
x = ivy_transrel.forward_interpolant(pred.clauses, action.update(_ivy_interp, None), goal.formula, axioms, None)
print " got: {!r}".format(x)
if x is None:
bi = backward_image(goal.formula, action)
return False, goal_at_arg_node(bi, pred)
else:
return True, x[1]
def refine_or_reverse(goal):
preds, action = arg_get_preds_action(goal.node)
assert action != 'join'
assert len(preds) == 1
pred = preds[0]
axioms = _ivy_interp.background_theory()
#import IPython
#IPython.embed()
print "calling ivy_transrel.forward_interpolant"
x = ivy_transrel.forward_interpolant(
pred.clauses,
action.update(_ivy_interp, None),
goal.formula,
axioms,
None,
)
print " got: {!r}".format(x)
if x is None:
bi = backward_image(goal.formula, action)
return False, goal_at_arg_node(bi, pred)
else:
return True, x[1]
