Python z3.And方法代碼示例

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def _seq_as_one(self, sequence):
        """ use z3 solver to determine if the gates in the sequence are either
            all executed or none of them are executed, based on control qubits
            (consider sequences of length 2 for now)
        Args:
            sequence (list(DAGNode)): gate sequence to inspect
        Returns:
            bool: if gate sequence is only executed completely or not at all
        """
        assert len(sequence) == 2
        ctrlvar1 = self._seperate_ctrl_trgt(sequence[0])[1]
        ctrlvar2 = self._seperate_ctrl_trgt(sequence[1])[1]

        self.solver.push()
        self.solver.add(
            Or(
                And(And(*ctrlvar1), Not(And(*ctrlvar2))),
                And(Not(And(*ctrlvar1)), And(*ctrlvar2))
            )
        )
        res = self.solver.check() == unsat
        self.solver.pop()

        return res 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def construct_axioms(variables):  # List[StatVar]
    _axioms = []
    for var in variables:
        # A variable must be continuous or categorical, but not both.
        _axioms.append(z3.And(z3.Or(continuous(var).__z3__, categorical(var).__z3__),
                              z3.Not(z3.And(continuous(var).__z3__, categorical(var).__z3__))))

        # If a variable is an explanatory variable and all explanatory variables are categorical,
        # then the variable must be categorical.
        # It isn't clear how to reason about whether a variable is an explanatory or explained variable.
        # _axioms.append(z3.Implies(all_x_variables_categorical(var).__z3__, categorical(var).__z3__))

        # Not sure how to reason about test properties like one_x_variable and one_y_variable.
        # _axioms.append(z3.Not(z3.And(one_x_variable(var).__z3__, one_y_variable(var).__z3__)))

        # If a variable is normal, then it cannot be categorical.
        _axioms.append(z3.Implies(normal(var).__z3__, z3.Not(categorical(var).__z3__)))

        # If a variable is continuous or ordinal, it must be continuous.
        _axioms.append(z3.Implies(continuous_or_ordinal(var).__z3__, continuous(var).__z3__))

        # If a variable has two categories, then it must be categorical.
        # _axioms.append(z3.Implies(two_x_variable_categories(var).__z3__, categorical(var).__z3__))

    return _axioms 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def find_name_for_bit_at_index(index, bit):
    solver = z3.Solver()

    NAME_LENGTH = 12  # arbitrary
    name = [z3.BitVec("c%d" % i, 32) for i in range(NAME_LENGTH)]
    for i in range(len(name)):
        solver.add(z3.And(name[i] > 0, name[i] <= 0xff))

    h1 = hash1(name)
    solver.add(h1 == index)

    h2 = hash2(name)
    solver.add(h2 == bit)

    h3 = hash3(name)
    solver.add(z3.Extract(15, 0, h3) == h2)  # for simplicity

    if solver.check() == z3.sat:
        return "".join(chr(solver.model()[c].as_long()) for c in name).encode("latin-1") 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def _convert_to_while_loop(
        self, node: MediumLevelILAstLoopNode, while_condition
    ):
        log_debug(f"{node} is a while loop")
        node.loop_type = "while"
        node.condition = reduce(
            And, Tactic("ctx-solver-simplify")(Not(while_condition))[0]
        )

        break_cond = node.body.nodes[0]

        if break_cond[False] is not None:
            node.body._nodes[0] = break_cond[False]

        # Flatten condition nodes that have the same condition
        # as the loop condition
        for idx, child in enumerate(node.body.nodes):
            if (
                isinstance(child, MediumLevelILAstCondNode)
                and is_true(simplify(child.condition == node.condition))
                and child[False] is None
            ):
                node.body._nodes[idx] = child[True] 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def all(self, *conds): return self.bfold(conds, z3.And, True, False) 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def _test_gate(self, gate, ctrl_ones, trgtvar):
        """ use z3 sat solver to determine triviality of gate
        Args:
            gate (Gate): gate to inspect
            ctrl_ones (BoolRef): z3 condition asserting all control qubits to 1
            trgtvar (list(BoolRef)): z3 variables corresponding to latest state
                                     of target qubits
        Returns:
            bool: if gate is trivial
        """
        trivial = False
        self.solver.push()

        try:
            triv_cond = gate._trivial_if(*trgtvar)
        except AttributeError:
            self.solver.add(ctrl_ones)
            trivial = self.solver.check() == unsat
        else:
            if isinstance(triv_cond, bool):
                if triv_cond and len(trgtvar) == 1:
                    self.solver.add(And(ctrl_ones, Not(trgtvar[0])))
                    sol1 = self.solver.check() == unsat
                    self.solver.pop()
                    self.solver.push()
                    self.solver.add(And(ctrl_ones, trgtvar[0]))
                    sol2 = self.solver.check() == unsat
                    trivial = sol1 or sol2
            else:
                self.solver.add(And(ctrl_ones, Not(triv_cond)))
                trivial = self.solver.check() == unsat

        self.solver.pop()
        return trivial 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def _traverse_dag(self, dag):
        """ traverse DAG in topological order
            for each gate check: if any control is 0, or
                                 if triviality conditions are satisfied
            if yes remove gate from dag
            apply postconditions of gate
        Args:
            dag (DAGCircuit): input DAG to optimize in place
        """
        for node in dag.topological_op_nodes():
            gate = node.op
            _, ctrlvar, trgtqb, trgtvar = self._seperate_ctrl_trgt(node)

            ctrl_ones = And(*ctrlvar)

            trivial = self._test_gate(gate, ctrl_ones, trgtvar)
            if trivial:
                dag.remove_op_node(node)
            elif self.size > 1:
                for qbt in node.qargs:
                    self.gatecache[qbt.index].append(node)
                    self.varnum[qbt.index][node] = self.gatenum[qbt.index]-1
                for qbt in node.qargs:
                    if len(self.gatecache[qbt.index]) >= self.size:
                        self._multigate_opt(dag, qbt.index)

            self._add_postconditions(gate, ctrl_ones, trgtqb, trgtvar) 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def scheduling_constraints(self):
        """
        DAG scheduling constraints optimization
        Sets overlap indicator variables
        """
        for gate in self.gate_start_time:
            for dep_gate in self.dag.successors(gate):
                if not dep_gate.type == 'op':
                    continue
                if isinstance(dep_gate.op, Measure):
                    continue
                if isinstance(dep_gate.op, Barrier):
                    continue
                fin_g = self.gate_start_time[gate] + self.gate_duration[gate]
                self.opt.add(self.gate_start_time[dep_gate] > fin_g)
        for g_1 in self.xtalk_overlap_set:
            for g_2 in self.xtalk_overlap_set[g_1]:
                if len(g_2.qargs) == 2 and self.gate_id[g_1] > self.gate_id[g_2]:
                    # Symmetry breaking: create only overlap variable for a pair
                    # of gates
                    continue
                s_1 = self.gate_start_time[g_1]
                f_1 = s_1 + self.gate_duration[g_1]
                s_2 = self.gate_start_time[g_2]
                f_2 = s_2 + self.gate_duration[g_2]
                # This constraint enforces full or zero overlap between two gates
                before = (f_1 < s_2)
                after = (f_2 < s_1)
                overlap1 = And(s_2 <= s_1, f_1 <= f_2)
                overlap2 = And(s_1 <= s_2, f_2 <= f_1)
                self.opt.add(Or(before, after, overlap1, overlap2))
                intervals_overlap = And(s_2 <= f_1, s_1 <= f_2)
                self.opt.add(self.overlap_indicator[g_1][g_2] == intervals_overlap) 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def _gen_path_constraints(self, translator, expr, expected):
        """Generate path constraint from @expr. Handle special case with
        generated loc_keys
        """
        out = []
        expected = canonize_to_exprloc(self._ircfg.loc_db, expected)
        expected_is_loc_key = expected.is_loc()
        for consval in possible_values(expr):
            value = canonize_to_exprloc(self._ircfg.loc_db, consval.value)
            if expected_is_loc_key and value != expected:
                continue
            if not expected_is_loc_key and value.is_loc_key():
                continue

            conds = z3.And(*[translator.from_expr(cond.to_constraint())
                             for cond in consval.constraints])
            if expected != value:
                conds = z3.And(
                    conds,
                    translator.from_expr(
                        ExprAssign(value,
                                expected))
                )
            out.append(conds)

        if out:
            conds = z3.Or(*out)
        else:
            # Ex: expr: lblgen1, expected: 0x1234
            # -> Avoid inconsistent solution lblgen1 = 0x1234
            conds = translator.from_expr(self.unsat_expr)
        return conds 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def get_wstate_z3vars(wstate):
    r = get_z3vars(z3.simplify(z3.And(wstate.constraints)))
    for address, gstate in wstate.address_to_account.items():
        r.update(get_z3vars(z3.simplify(gstate.storage.storage)))
    return r 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def _ascii_printable(x):
    return z3.And(0x21 <= x, x <= 0x7e)  # enforces that byte is printable ascii 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def _generate_ascii_printable_string(base_name, size, solver):
    # establishes z3 variable names for bytes of the input string
    bytes = [z3.BitVec('%s%d' % (base_name, i), 8) for i in range(size)]
    # adds the constraint that the bytes are printable ascii
    solver.add(z3.And([_ascii_printable(byte) for byte in bytes]))
    return bytes 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def __and__(l, r):
		return And(l, fexpr_cast(r)) 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def __rand__(r, l):
		return And(fexpr_cast(l), r)

	# The | operator 

# 需要導入模塊: import z3 [as 別名]
# 或者: from z3 import And [as 別名]
def z3Node(self):
		return z3.And(self.left.z3Node(), self.right.z3Node())