|
| def | __init__ (self, ctx=None) |
| |
| def | __deepcopy__ (self, memo={}) |
| |
| def | __del__ (self) |
| |
| def | set (self, *args, **keys) |
| |
| def | help (self) |
| |
| def | param_descrs (self) |
| |
| def | assert_exprs (self, *args) |
| |
| def | add (self, *args) |
| |
| def | __iadd__ (self, fml) |
| |
| def | assert_and_track (self, a, p) |
| |
| def | add_soft (self, arg, weight="1", id=None) |
| |
| def | maximize (self, arg) |
| |
| def | minimize (self, arg) |
| |
| def | push (self) |
| |
| def | pop (self) |
| |
| def | check (self, *assumptions) |
| |
| def | reason_unknown (self) |
| |
| def | model (self) |
| |
| def | unsat_core (self) |
| |
| def | lower (self, obj) |
| |
| def | upper (self, obj) |
| |
| def | lower_values (self, obj) |
| |
| def | upper_values (self, obj) |
| |
| def | from_file (self, filename) |
| |
| def | from_string (self, s) |
| |
| def | assertions (self) |
| |
| def | objectives (self) |
| |
| def | __repr__ (self) |
| |
| def | sexpr (self) |
| |
| def | statistics (self) |
| |
| def | set_on_model (self, on_model) |
| |
| def | use_pp (self) |
| |
Optimize API provides methods for solving using objective functions and weighted soft constraints
Definition at line 7740 of file z3py.py.
◆ __init__()
| def __init__ |
( |
|
self, |
|
|
|
ctx = None |
|
) |
| |
Definition at line 7743 of file z3py.py.
7744 self.ctx = _get_ctx(ctx)
7746 self._on_models_id =
None
◆ __del__()
Definition at line 7752 of file z3py.py.
7753 if self.optimize
is not None and self.ctx.ref()
is not None:
7755 if self._on_models_id
is not None:
7756 del _on_models[self._on_models_id]
◆ __deepcopy__()
| def __deepcopy__ |
( |
|
self, |
|
|
|
memo = {} |
|
) |
| |
Definition at line 7749 of file z3py.py.
7749 def __deepcopy__(self, memo={}):
7750 return Optimize(self.optimize, self.ctx)
◆ __iadd__()
| def __iadd__ |
( |
|
self, |
|
|
|
fml |
|
) |
| |
Definition at line 7789 of file z3py.py.
7789 def __iadd__(self, fml):
◆ __repr__()
Return a formatted string with all added rules and constraints.
Definition at line 7929 of file z3py.py.
7930 """Return a formatted string with all added rules and constraints."""
◆ add()
Assert constraints as background axioms for the optimize solver. Alias for assert_expr.
Definition at line 7785 of file z3py.py.
7785 def add(self, *args):
7786 """Assert constraints as background axioms for the optimize solver. Alias for assert_expr."""
7787 self.assert_exprs(*args)
Referenced by Optimize.__iadd__().
◆ add_soft()
| def add_soft |
( |
|
self, |
|
|
|
arg, |
|
|
|
weight = "1", |
|
|
|
id = None |
|
) |
| |
Add soft constraint with optional weight and optional identifier.
If no weight is supplied, then the penalty for violating the soft constraint
is 1.
Soft constraints are grouped by identifiers. Soft constraints that are
added without identifiers are grouped by default.
Definition at line 7822 of file z3py.py.
7822 def add_soft(self, arg, weight="1", id=None):
7823 """Add soft constraint with optional weight and optional identifier.
7824 If no weight is supplied, then the penalty for violating the soft constraint
7826 Soft constraints are grouped by identifiers. Soft constraints that are
7827 added without identifiers are grouped by default.
7830 weight =
"%d" % weight
7831 elif isinstance(weight, float):
7832 weight =
"%f" % weight
7833 if not isinstance(weight, str):
7834 raise Z3Exception(
"weight should be a string or an integer")
7841 return OptimizeObjective(self, v,
False)
7842 if sys.version_info.major >= 3
and isinstance(arg, Iterable):
7843 return [asoft(a)
for a
in arg]
◆ assert_and_track()
| def assert_and_track |
( |
|
self, |
|
|
|
a, |
|
|
|
p |
|
) |
| |
Assert constraint `a` and track it in the unsat core using the Boolean constant `p`.
If `p` is a string, it will be automatically converted into a Boolean constant.
>>> x = Int('x')
>>> p3 = Bool('p3')
>>> s = Optimize()
>>> s.assert_and_track(x > 0, 'p1')
>>> s.assert_and_track(x != 1, 'p2')
>>> s.assert_and_track(x < 0, p3)
>>> print(s.check())
unsat
>>> c = s.unsat_core()
>>> len(c)
2
>>> Bool('p1') in c
True
>>> Bool('p2') in c
False
>>> p3 in c
True
Definition at line 7793 of file z3py.py.
7793 def assert_and_track(self, a, p):
7794 """Assert constraint `a` and track it in the unsat core using the Boolean constant `p`.
7796 If `p` is a string, it will be automatically converted into a Boolean constant.
7801 >>> s.assert_and_track(x > 0, 'p1')
7802 >>> s.assert_and_track(x != 1, 'p2')
7803 >>> s.assert_and_track(x < 0, p3)
7804 >>> print(s.check())
7806 >>> c = s.unsat_core()
7816 if isinstance(p, str):
7817 p =
Bool(p, self.ctx)
7818 _z3_assert(isinstance(a, BoolRef),
"Boolean expression expected")
7819 _z3_assert(isinstance(p, BoolRef)
and is_const(p),
"Boolean expression expected")
◆ assert_exprs()
| def assert_exprs |
( |
|
self, |
|
|
* |
args |
|
) |
| |
Assert constraints as background axioms for the optimize solver.
Definition at line 7773 of file z3py.py.
7773 def assert_exprs(self, *args):
7774 """Assert constraints as background axioms for the optimize solver."""
7775 args = _get_args(args)
7778 if isinstance(arg, Goal)
or isinstance(arg, AstVector):
Referenced by Optimize.add().
◆ assertions()
Return an AST vector containing all added constraints.
Definition at line 7921 of file z3py.py.
7921 def assertions(self):
7922 """Return an AST vector containing all added constraints."""
◆ check()
| def check |
( |
|
self, |
|
|
* |
assumptions |
|
) |
| |
Check satisfiability while optimizing objective functions.
Definition at line 7870 of file z3py.py.
7870 def check(self, *assumptions):
7871 """Check satisfiability while optimizing objective functions."""
7872 assumptions = _get_args(assumptions)
7873 num = len(assumptions)
7874 _assumptions = (Ast * num)()
7875 for i
in range(num):
7876 _assumptions[i] = assumptions[i].as_ast()
7877 return CheckSatResult(
Z3_optimize_check(self.ctx.ref(), self.optimize, num, _assumptions))
◆ from_file()
| def from_file |
( |
|
self, |
|
|
|
filename |
|
) |
| |
Parse assertions and objectives from a file
Definition at line 7913 of file z3py.py.
7913 def from_file(self, filename):
7914 """Parse assertions and objectives from a file"""
◆ from_string()
| def from_string |
( |
|
self, |
|
|
|
s |
|
) |
| |
Parse assertions and objectives from a string
Definition at line 7917 of file z3py.py.
7917 def from_string(self, s):
7918 """Parse assertions and objectives from a string"""
◆ help()
Display a string describing all available options.
Definition at line 7765 of file z3py.py.
7766 """Display a string describing all available options."""
◆ lower()
Definition at line 7893 of file z3py.py.
7893 def lower(self, obj):
7894 if not isinstance(obj, OptimizeObjective):
7895 raise Z3Exception(
"Expecting objective handle returned by maximize/minimize")
◆ lower_values()
| def lower_values |
( |
|
self, |
|
|
|
obj |
|
) |
| |
Definition at line 7903 of file z3py.py.
7903 def lower_values(self, obj):
7904 if not isinstance(obj, OptimizeObjective):
7905 raise Z3Exception(
"Expecting objective handle returned by maximize/minimize")
7906 return obj.lower_values()
◆ maximize()
| def maximize |
( |
|
self, |
|
|
|
arg |
|
) |
| |
Add objective function to maximize.
Definition at line 7846 of file z3py.py.
7846 def maximize(self, arg):
7847 """Add objective function to maximize."""
7848 return OptimizeObjective(
◆ minimize()
| def minimize |
( |
|
self, |
|
|
|
arg |
|
) |
| |
Add objective function to minimize.
Definition at line 7854 of file z3py.py.
7854 def minimize(self, arg):
7855 """Add objective function to minimize."""
7856 return OptimizeObjective(
◆ model()
Return a model for the last check().
Definition at line 7883 of file z3py.py.
7884 """Return a model for the last check()."""
7888 raise Z3Exception(
"model is not available")
Referenced by FuncInterp.translate().
◆ objectives()
returns set of objective functions
Definition at line 7925 of file z3py.py.
7925 def objectives(self):
7926 """returns set of objective functions"""
◆ param_descrs()
Return the parameter description set.
Definition at line 7769 of file z3py.py.
7769 def param_descrs(self):
7770 """Return the parameter description set."""
◆ pop()
restore to previously created backtracking point
Definition at line 7866 of file z3py.py.
7867 """restore to previously created backtracking point"""
◆ push()
create a backtracking point for added rules, facts and assertions
Definition at line 7862 of file z3py.py.
7863 """create a backtracking point for added rules, facts and assertions"""
◆ reason_unknown()
| def reason_unknown |
( |
|
self | ) |
|
Return a string that describes why the last `check()` returned `unknown`.
Definition at line 7879 of file z3py.py.
7879 def reason_unknown(self):
7880 """Return a string that describes why the last `check()` returned `unknown`."""
◆ set()
| def set |
( |
|
self, |
|
|
* |
args, |
|
|
** |
keys |
|
) |
| |
Set a configuration option.
The method `help()` return a string containing all available options.
Definition at line 7758 of file z3py.py.
7758 def set(self, *args, **keys):
7759 """Set a configuration option.
7760 The method `help()` return a string containing all available options.
◆ set_on_model()
| def set_on_model |
( |
|
self, |
|
|
|
on_model |
|
) |
| |
Register a callback that is invoked with every incremental improvement to
objective values. The callback takes a model as argument.
The life-time of the model is limited to the callback so the
model has to be (deep) copied if it is to be used after the callback
Definition at line 7944 of file z3py.py.
7944 def set_on_model(self, on_model):
7945 """Register a callback that is invoked with every incremental improvement to
7946 objective values. The callback takes a model as argument.
7947 The life-time of the model is limited to the callback so the
7948 model has to be (deep) copied if it is to be used after the callback
7950 id = len(_on_models) + 41
7951 mdl =
Model(self.ctx)
7952 _on_models[id] = (on_model, mdl)
7953 self._on_models_id = id
7955 self.ctx.ref(), self.optimize, mdl.model, ctypes.c_void_p(id), _on_model_eh,
◆ sexpr()
Return a formatted string (in Lisp-like format) with all added constraints.
We say the string is in s-expression format.
Definition at line 7933 of file z3py.py.
7934 """Return a formatted string (in Lisp-like format) with all added constraints.
7935 We say the string is in s-expression format.
Referenced by Optimize.__repr__().
◆ statistics()
Return statistics for the last check`.
Definition at line 7939 of file z3py.py.
7939 def statistics(self):
7940 """Return statistics for the last check`.
◆ unsat_core()
Definition at line 7890 of file z3py.py.
7890 def unsat_core(self):
◆ upper()
Definition at line 7898 of file z3py.py.
7898 def upper(self, obj):
7899 if not isinstance(obj, OptimizeObjective):
7900 raise Z3Exception(
"Expecting objective handle returned by maximize/minimize")
◆ upper_values()
| def upper_values |
( |
|
self, |
|
|
|
obj |
|
) |
| |
Definition at line 7908 of file z3py.py.
7908 def upper_values(self, obj):
7909 if not isinstance(obj, OptimizeObjective):
7910 raise Z3Exception(
"Expecting objective handle returned by maximize/minimize")
7911 return obj.upper_values()
◆ ctx
Definition at line 7744 of file z3py.py.
Referenced by Probe.__call__(), Optimize.__deepcopy__(), ApplyResult.__deepcopy__(), Tactic.__deepcopy__(), Probe.__deepcopy__(), Optimize.__del__(), ApplyResult.__del__(), Tactic.__del__(), Probe.__del__(), Probe.__eq__(), Probe.__ge__(), ApplyResult.__getitem__(), Probe.__gt__(), Probe.__le__(), ApplyResult.__len__(), Probe.__lt__(), Probe.__ne__(), Optimize.add_soft(), Tactic.apply(), ApplyResult.as_expr(), Optimize.assert_and_track(), Optimize.assert_exprs(), Optimize.assertions(), Optimize.check(), UserPropagateBase.conflict(), UserPropagateBase.ctx_ref(), Optimize.from_file(), Optimize.from_string(), Optimize.help(), Tactic.help(), Optimize.maximize(), Optimize.minimize(), Optimize.model(), Optimize.objectives(), Optimize.param_descrs(), Tactic.param_descrs(), Optimize.pop(), Optimize.push(), Optimize.reason_unknown(), Optimize.set(), Optimize.set_on_model(), Optimize.sexpr(), ApplyResult.sexpr(), Tactic.solver(), Optimize.statistics(), and Optimize.unsat_core().
◆ optimize
Definition at line 7745 of file z3py.py.
Referenced by Optimize.__deepcopy__(), Optimize.__del__(), Optimize.add_soft(), Optimize.assert_and_track(), Optimize.assert_exprs(), Optimize.assertions(), Optimize.check(), Optimize.from_file(), Optimize.from_string(), Optimize.help(), Optimize.maximize(), Optimize.minimize(), Optimize.model(), Optimize.objectives(), Optimize.param_descrs(), Optimize.pop(), Optimize.push(), Optimize.reason_unknown(), Optimize.set(), Optimize.set_on_model(), Optimize.sexpr(), Optimize.statistics(), and Optimize.unsat_core().
void Z3_API Z3_optimize_pop(Z3_context c, Z3_optimize d)
Backtrack one level.
def __init__(self, s, ctx=None)
void Z3_API Z3_optimize_assert_and_track(Z3_context c, Z3_optimize o, Z3_ast a, Z3_ast t)
Assert tracked hard constraint to the optimization context.
void Z3_API Z3_optimize_dec_ref(Z3_context c, Z3_optimize d)
Decrement the reference counter of the given optimize context.
Z3_string Z3_API Z3_optimize_get_reason_unknown(Z3_context c, Z3_optimize d)
Retrieve a string that describes the last status returned by Z3_optimize_check.
expr range(expr const &lo, expr const &hi)
void Z3_API Z3_optimize_from_string(Z3_context c, Z3_optimize o, Z3_string s)
Parse an SMT-LIB2 string with assertions, soft constraints and optimization objectives....
Z3_ast_vector Z3_API Z3_optimize_get_objectives(Z3_context c, Z3_optimize o)
Return objectives on the optimization context. If the objective function is a max-sat objective it is...
Z3_stats Z3_API Z3_optimize_get_statistics(Z3_context c, Z3_optimize d)
Retrieve statistics information from the last call to Z3_optimize_check.
Z3_ast_vector Z3_API Z3_optimize_get_assertions(Z3_context c, Z3_optimize o)
Return the set of asserted formulas on the optimization context.
Z3_param_descrs Z3_API Z3_optimize_get_param_descrs(Z3_context c, Z3_optimize o)
Return the parameter description set for the given optimize object.
def pop(self, num_scopes)
def to_symbol(s, ctx=None)
unsigned Z3_API Z3_optimize_assert_soft(Z3_context c, Z3_optimize o, Z3_ast a, Z3_string weight, Z3_symbol id)
Assert soft constraint to the optimization context.
unsigned Z3_API Z3_optimize_maximize(Z3_context c, Z3_optimize o, Z3_ast t)
Add a maximization constraint.
Z3_string Z3_API Z3_optimize_to_string(Z3_context c, Z3_optimize o)
Print the current context as a string.
Z3_lbool Z3_API Z3_optimize_check(Z3_context c, Z3_optimize o, unsigned num_assumptions, Z3_ast const assumptions[])
Check consistency and produce optimal values.
void Z3_API Z3_optimize_assert(Z3_context c, Z3_optimize o, Z3_ast a)
Assert hard constraint to the optimization context.
void Z3_API Z3_optimize_from_file(Z3_context c, Z3_optimize o, Z3_string s)
Parse an SMT-LIB2 file with assertions, soft constraints and optimization objectives....
void Z3_API Z3_optimize_set_params(Z3_context c, Z3_optimize o, Z3_params p)
Set parameters on optimization context.
void Z3_API Z3_optimize_register_model_eh(Z3_context c, Z3_optimize o, Z3_model m, void *ctx, Z3_model_eh model_eh)
register a model event handler for new models.
Z3_optimize Z3_API Z3_mk_optimize(Z3_context c)
Create a new optimize context.
void Z3_API Z3_optimize_push(Z3_context c, Z3_optimize d)
Create a backtracking point.
Z3_ast_vector Z3_API Z3_optimize_get_unsat_core(Z3_context c, Z3_optimize o)
Retrieve the unsat core for the last Z3_optimize_check The unsat core is a subset of the assumptions ...
Z3_model Z3_API Z3_optimize_get_model(Z3_context c, Z3_optimize o)
Retrieve the model for the last Z3_optimize_check.
def args2params(arguments, keywords, ctx=None)
Z3_string Z3_API Z3_optimize_get_help(Z3_context c, Z3_optimize t)
Return a string containing a description of parameters accepted by optimize.
unsigned Z3_API Z3_optimize_minimize(Z3_context c, Z3_optimize o, Z3_ast t)
Add a minimization constraint.
void Z3_API Z3_optimize_inc_ref(Z3_context c, Z3_optimize d)
Increment the reference counter of the given optimize context.