def not_inside(self, rhs):
lhs_e = pop_expr()
if isinstance(rhs, rangelist):
return expr(ExprUnaryModel(
UnaryExprType.Not,
ExprInModel(lhs_e, rhs.range_l)))
elif isinstance(rhs, list_t):
return expr(ExprUnaryModel(
UnaryExprType.Not,
ExprInModel(lhs_e,
ExprRangelistModel(
[ExprFieldRefModel(rhs.get_model())]))))
else:
raise Exception("Unsupported 'not_inside' argument of type " + str(type(rhs)))
def visit_expr_unary(self, e : ExprUnaryModel):
if self.do_copy_level > 0:
self._expr = ExprUnaryModel(
e.op,
self.expr(e.expr))
else:
super().visit_expr_unary(e)
def __invert__(self):
self.to_expr()
lhs = pop_expr()
return expr(ExprUnaryModel(UnaryExprType.Not, lhs))
def visit_constraint_dist(self, c):
# We replace the dist constraint with an equivalent
# set of hard and soft constraints
scope = ConstraintDistScopeModel(c)
ranges = ExprRangelistModel()
for w in c.weights:
if w.rng_rhs is not None:
# two-value range
ranges.add_range(ExprRangeModel(w.rng_lhs, w.rng_rhs))
else:
# single value
ranges.add_range(w.rng_lhs)
# First, create an 'in' constraint to restrict
# values to the appropriate value set
in_c = ConstraintExprModel(ExprInModel(c.lhs, ranges))
scope.addConstraint(in_c)
# Now, we need to add exclusion constraints for any
# zero weights
# (!w) -> (lhs != [val])
# (!w) -> (lns not in [rng])
for w in c.weights:
if w.rng_rhs is not None:
scope.addConstraint(
ConstraintImpliesModel(
ExprBinModel(w.weight, BinExprType.Eq,
ExprLiteralModel(0, False, 8)),
[
ConstraintExprModel(
ExprUnaryModel(
UnaryExprType.Not,
ExprBinModel(
ExprBinModel(c.lhs, BinExprType.Ge,
w.rng_lhs),
BinExprType.And,
ExprBinModel(c.lhs, BinExprType.Le,
w.rng_rhs))))
]))
else:
scope.addConstraint(
ConstraintImpliesModel(
ExprBinModel(w.weight, BinExprType.Eq,
ExprLiteralModel(0, False, 8)),
[
ExprUnaryModel(
UnaryExprType.Not,
ExprBinModel(c.lhs, BinExprType.Eq, w.rng_lhs))
]))
# Form a list of non-zero weighted tuples of weight/range
# Sort in ascending order
weight_l = []
total_w = 0
for i, w in enumerate(c.weights):
weight = int(w.weight.val())
total_w += weight
if weight > 0:
weight_l.append((weight, i))
weight_l.sort(key=lambda w: w[0])
seed_v = self.rng.randint(1, total_w)
# Find the first range
i = 0
while i < len(weight_l):
seed_v -= weight_l[i][0]
if seed_v <= 0:
break
i += 1
if i >= len(weight_l):
i = len(weight_l) - 1
scope.target_range = weight_l[i][1]
target_w = c.weights[weight_l[i][1]]
dist_soft_c = None
if target_w.rng_rhs is not None:
dist_soft_c = ConstraintSoftModel(
ExprBinModel(
ExprBinModel(c.lhs, BinExprType.Ge, target_w.rng_lhs),
BinExprType.And,
ExprBinModel(c.lhs, BinExprType.Le, target_w.rng_rhs)))
else:
dist_soft_c = ConstraintSoftModel(
ExprBinModel(c.lhs, BinExprType.Eq, target_w.rng_lhs))
# Give dist constraints a high priority to allow
# them to override all user-defined soft constraints
dist_soft_c.priority = 1000000
scope.set_dist_soft_c(dist_soft_c)
self.override_constraint(scope)