def __init__(self, env=None, invalidate_memoization=None):
IdentityDagWalker.__init__(
self, env=env, invalidate_memoization=invalidate_memoization)
self.Times = self.env.formula_manager.Times
self.Plus = self.env.formula_manager.Plus
self.rminus_one = self.env.formula_manager.Real(-1)
self.iminus_one = self.env.formula_manager.Int(-1)
self.get_type = self.env.stc.get_type
def __init__(self, env=None, invalidate_memoization=None):
IdentityDagWalker.__init__(self, env=env,
invalidate_memoization=invalidate_memoization)
self.Times = self.env.formula_manager.Times
self.Plus = self.env.formula_manager.Plus
self.rminus_one = self.env.formula_manager.Real(-1)
self.iminus_one = self.env.formula_manager.Int(-1)
self.get_type = self.env.stc.get_type
def __init__(self, environment=None):
IdentityDagWalker.__init__(self, environment)
# funs_to_args keeps for every function symbol f,
# a set of lists of arguments.
# if f(g(x),y) and f(x,g(y)) occur in a formula, then we
# will have "f": set([g(x), y], [x, g(y)])
self._funs_to_args = {}
#maps the actual applications to the constants that will be
#generated, or to the original term if it is not replaced.
self._terms_dict = {}
def __init__(self, environment=None):
IdentityDagWalker.__init__(self, environment)
# funs_to_args keeps for every function symbol f,
# a set of lists of arguments.
# if f(g(x),y) and f(x,g(y)) occur in a formula, then we
# will have "f": set([g(x), y], [x, g(y)])
self._funs_to_args = {}
#maps the actual applications to the constants that will be
#generated, or to the original term if it is not replaced.
self._terms_dict = {}
def __init__(self, env=None, conf):
if env is None:
self.env = get_env()
else:
self.env = env
IdentityDagWalker.__init__(self, env=self.env)
self.mgr = self.env.formula_manager
self.conf = conf
self.symbol_map = dict()
self.fbvand = self.mgr.Symbol(
"fbvand", FunctionType(INT, (INT, INT, INT)))
self.extra_constraints = set()
self.zero = self.mgr.Int(0)
def __init__(self):
IdentityDagWalker.__init__(self)
self.symbols = set()
