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https://github.com/Z3Prover/z3
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adding quipie
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
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0232383191
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@ -133,8 +133,9 @@ class State:
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self.solver = s
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def add(self, clause):
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self.R |= { clause }
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self.solver.add(clause)
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if clause not in self.R:
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self.R |= { clause }
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self.solver.add(clause)
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class Goal:
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def __init__(self, cube, parent, level):
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@ -142,9 +143,30 @@ class Goal:
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self.cube = cube
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self.parent = parent
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# push a goal on a heap
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def push_heap(heap, goal):
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heapq.heappush(heap, (goal.level, goal))
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def is_seq(f):
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return isinstance(f, list) or isinstance(f, tuple) or isinstance(f, AstVector)
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# Check if the initial state is bad
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def check_disjoint(a, b):
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s = fd_solver()
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s.add(a)
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s.add(b)
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return unsat == s.check()
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# Remove clauses that are subsumed
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def prune(R):
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removed = set([])
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s = fd_solver()
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for f1 in R:
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s.push()
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for f2 in R:
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if f2 not in removed:
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s.add(Not(f2) if f1.eq(f2) else f2)
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if s.check() == unsat:
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removed |= { f1 }
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s.pop()
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return R - removed
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class MiniIC3:
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def __init__(self, init, trans, goal, x0, xn):
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@ -166,40 +188,19 @@ class MiniIC3:
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self.s_good.add(Not(self.bad))
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def next(self, f):
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if isinstance(f, list) or isinstance(f, tuple) or isinstance(f, AstVector):
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if is_seq(f):
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return [self.next(f1) for f1 in f]
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return substitute(f, zip(self.x0, self.xn))
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def prev(self, f):
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if isinstance(f, list) or isinstance(f, tuple) or isinstance(f, AstVector):
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if is_seq(f):
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return [self.prev(f1) for f1 in f]
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return substitute(f, zip(self.xn, self.x0))
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def add_solver(self):
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s = fd_solver()
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s.add(self.trans)
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self.states += [State(s)]
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# Check if the initial state is bad
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def check_init(self):
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s = fd_solver()
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s.add(self.bad)
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s.add(self.init)
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return unsat == s.check()
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# Remove clauses that are subsumed
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def prune(self, i):
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removed = set([])
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s = fd_solver()
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for f1 in self.states[i].R:
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s.push()
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for f2 in self.states[i].R:
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if f2 not in removed:
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s.add(Not(f2) if f1.eq(f2) else f2)
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if s.check() == unsat:
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removed |= { f1 }
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s.pop()
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self.states[i].R = self.states[i].R - removed
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self.states += [State(s)]
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def R(self, i):
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return And(self.states[i].R)
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@ -209,8 +210,7 @@ class MiniIC3:
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i = 1
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while i + 1 < len(self.states):
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if not (self.states[i].R - self.states[i+1].R):
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self.prune(i)
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return self.R(i)
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return And(prune(self.states[i].R))
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i += 1
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return None
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@ -259,8 +259,7 @@ class MiniIC3:
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# Add a clause to levels 0 until i
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def assert_clause(self, i, clause):
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for j in range(i + 1):
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if clause not in self.states[j].R:
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self.states[j].add(clause)
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self.states[j].add(clause)
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# minimize cube that is core of Dual solver.
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# this assumes that props & cube => Trans
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@ -271,10 +270,14 @@ class MiniIC3:
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assert core
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return [c for c in core if c in set(cube)]
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# push a goal on a heap
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def push_heap(self, goal):
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heapq.heappush(self.goals, (goal.level, goal))
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# A state s0 and level f0 such that
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# not(s0) is f0-1 inductive
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def ic3_blocked(self, s0, f0):
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push_heap(self.goals, Goal(self.next(s0), None, f0))
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self.push_heap(Goal(self.next(s0), None, f0))
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while self.goals:
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f, g = heapq.heappop(self.goals)
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sys.stdout.write("%d." % f)
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@ -287,10 +290,10 @@ class MiniIC3:
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if is_sat == unsat:
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self.block_cube(f, self.prev(cube))
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if f < f0:
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push_heap(self.goals, Goal(g.cube, g.parent, f + 1))
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self.push_heap(Goal(g.cube, g.parent, f + 1))
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elif is_sat == sat:
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push_heap(self.goals, Goal(cube, g, f - 1))
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push_heap(self.goals, g)
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self.push_heap(Goal(cube, g, f - 1))
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self.push_heap(g)
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else:
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return is_sat
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print("")
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@ -322,7 +325,7 @@ class MiniIC3:
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return cube, f, is_sat
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def run(self):
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if not self.check_init():
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if not check_disjoint(self.init, self.bad):
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return "goal is reached in initial state"
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level = 0
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while True:
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@ -361,3 +364,76 @@ def test(file):
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test("data/horn1.smt2")
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test("data/horn2.smt2")
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"""
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# TBD: Quip variant of IC3
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must = True
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may = False
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class QGoal:
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def __init__(self, cube, parent, level, must):
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self.level = level
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self.cube = cube
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self.parent = parent
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self.must = must
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class Quipie(MiniIC3):
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# prev & tras -> r', such that r' intersects with cube
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def add_reachable(self, prev, cube):
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s = fd_solver()
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s.add(self.trans)
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s.add(prev)
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s.add(Or(cube))
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is_sat = s.check()
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assert is_sat == sat
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m = s.model();
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result = [self.prev(lit) for lit in cube if is_true(m.eval(lit))]
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# ? result = self.values2literals(m, cube)
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assert result
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self.reachable.add(result)
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# A state s0 and level f0 such that
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# not(s0) is f0-1 inductive
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def quipie_blocked(self, s0, f0):
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self.push_heap(QGoal(self.next(s0), None, f0, must))
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while self.goals:
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f, g = heapq.heappop(self.goals)
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sys.stdout.write("%d." % f)
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sys.stdout.flush()
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if f == 0:
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if g.must:
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print("")
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return g
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self.add_reachable(self.init, p.parent.cube)
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continue
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# TBD
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return None
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def run(self):
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if not check_disjoint(self.init, self.bad):
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return "goal is reached in initial state"
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level = 0
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while True:
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inv = self.is_valid()
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if inv is not None:
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return inv
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is_sat, cube = self.unfold()
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if is_sat == unsat:
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level += 1
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print("Unfold %d" % level)
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sys.stdout.flush()
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self.add_solver()
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elif is_sat == sat:
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cex = self.quipie_blocked(cube, level)
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if cex is not None:
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return cex
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else:
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return is_sat
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"""
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