An ApplyResult object contains the subgoals produced by a tactic when applied to a goal. It also contains model and proof converters.
Definition at line 7064 of file z3py.py.
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Return one of the subgoals stored in ApplyResult object `self`.
>>> a, b = Ints('a b')
>>> g = Goal()
>>> g.add(Or(a == 0, a == 1), Or(b == 0, b == 1), a > b)
>>> t = Tactic('split-clause')
>>> r = t(g)
>>> r[0]
[a == 0, Or(b == 0, b == 1), a > b]
>>> r[1]
[a == 1, Or(b == 0, b == 1), a > b]
Definition at line 7098 of file z3py.py.
7098 def __getitem__(self, idx):
7099 """Return one of the subgoals stored in ApplyResult object `self`. 7101 >>> a, b = Ints('a b') 7103 >>> g.add(Or(a == 0, a == 1), Or(b == 0, b == 1), a > b) 7104 >>> t = Tactic('split-clause') 7107 [a == 0, Or(b == 0, b == 1), a > b] 7109 [a == 1, Or(b == 0, b == 1), a > b] 7111 if idx >= len(self):
Z3_goal Z3_API Z3_apply_result_get_subgoal(Z3_context c, Z3_apply_result r, unsigned i)
Return one of the subgoals in the Z3_apply_result object returned by Z3_tactic_apply.
Return the number of subgoals in `self`.
>>> a, b = Ints('a b')
>>> g = Goal()
>>> g.add(Or(a == 0, a == 1), Or(b == 0, b == 1), a > b)
>>> t = Tactic('split-clause')
>>> r = t(g)
>>> len(r)
2
>>> t = Then(Tactic('split-clause'), Tactic('split-clause'))
>>> len(t(g))
4
>>> t = Then(Tactic('split-clause'), Tactic('split-clause'), Tactic('propagate-values'))
>>> len(t(g))
1
Definition at line 7079 of file z3py.py.
7080 """Return the number of subgoals in `self`. 7082 >>> a, b = Ints('a b') 7084 >>> g.add(Or(a == 0, a == 1), Or(b == 0, b == 1), a > b) 7085 >>> t = Tactic('split-clause') 7089 >>> t = Then(Tactic('split-clause'), Tactic('split-clause')) 7092 >>> t = Then(Tactic('split-clause'), Tactic('split-clause'), Tactic('propagate-values')) unsigned Z3_API Z3_apply_result_get_num_subgoals(Z3_context c, Z3_apply_result r)
Return the number of subgoals in the Z3_apply_result object returned by Z3_tactic_apply.
Return a Z3 expression consisting of all subgoals.
>>> x = Int('x')
>>> g = Goal()
>>> g.add(x > 1)
>>> g.add(Or(x == 2, x == 3))
>>> r = Tactic('simplify')(g)
>>> r
[[Not(x <= 1), Or(x == 2, x == 3)]]
>>> r.as_expr()
And(Not(x <= 1), Or(x == 2, x == 3))
>>> r = Tactic('split-clause')(g)
>>> r
[[x > 1, x == 2], [x > 1, x == 3]]
>>> r.as_expr()
Or(And(x > 1, x == 2), And(x > 1, x == 3))
Definition at line 7153 of file z3py.py.
7154 """Return a Z3 expression consisting of all subgoals. 7159 >>> g.add(Or(x == 2, x == 3)) 7160 >>> r = Tactic('simplify')(g) 7162 [[Not(x <= 1), Or(x == 2, x == 3)]] 7164 And(Not(x <= 1), Or(x == 2, x == 3)) 7165 >>> r = Tactic('split-clause')(g) 7167 [[x > 1, x == 2], [x > 1, x == 3]] 7169 Or(And(x > 1, x == 2), And(x > 1, x == 3)) 7173 return BoolVal(
False, self.ctx)
7175 return self[0].as_expr()
7177 return Or([ self[i].as_expr()
for i
in range(len(self)) ])
expr range(expr const &lo, expr const &hi)
def BoolVal(val, ctx=None)
def convert_model |
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Convert a model for a subgoal into a model for the original goal.
>>> a, b = Ints('a b')
>>> g = Goal()
>>> g.add(Or(a == 0, a == 1), Or(b == 0, b == 1), a > b)
>>> t = Then(Tactic('split-clause'), Tactic('solve-eqs'))
>>> r = t(g)
>>> r[0]
[Or(b == 0, b == 1), Not(0 <= b)]
>>> r[1]
[Or(b == 0, b == 1), Not(1 <= b)]
>>> # Remark: the subgoal r[0] is unsatisfiable
>>> # Creating a solver for solving the second subgoal
>>> s = Solver()
>>> s.add(r[1])
>>> s.check()
sat
>>> s.model()
[b = 0]
>>> # Model s.model() does not assign a value to `a`
>>> # It is a model for subgoal `r[1]`, but not for goal `g`
>>> # The method convert_model creates a model for `g` from a model for `r[1]`.
>>> r.convert_model(s.model(), 1)
[b = 0, a = 1]
Definition at line 7122 of file z3py.py.
7122 def convert_model(self, model, idx=0):
7123 """Convert a model for a subgoal into a model for the original goal. 7125 >>> a, b = Ints('a b') 7127 >>> g.add(Or(a == 0, a == 1), Or(b == 0, b == 1), a > b) 7128 >>> t = Then(Tactic('split-clause'), Tactic('solve-eqs')) 7131 [Or(b == 0, b == 1), Not(0 <= b)] 7133 [Or(b == 0, b == 1), Not(1 <= b)] 7134 >>> # Remark: the subgoal r[0] is unsatisfiable 7135 >>> # Creating a solver for solving the second subgoal 7142 >>> # Model s.model() does not assign a value to `a` 7143 >>> # It is a model for subgoal `r[1]`, but not for goal `g` 7144 >>> # The method convert_model creates a model for `g` from a model for `r[1]`. 7145 >>> r.convert_model(s.model(), 1) 7149 _z3_assert(idx < len(self),
"index out of bounds")
7150 _z3_assert(isinstance(model, ModelRef),
"Z3 Model expected")
Z3_model Z3_API Z3_apply_result_convert_model(Z3_context c, Z3_apply_result r, unsigned i, Z3_model m)
Convert a model for the subgoal Z3_apply_result_get_subgoal(c, r, i) into a model for the original go...