def mksymbol(literal):
if literal == 'true': return True
if literal == 'false': return False
try:
return signature_vars[literal]
except KeyError:
return Identifier(literal, '?')
class MainLoop(
collections.namedtuple("MainLoop", "prologue cond body epilogue")):
SEMI = Identifier(";", '?')
SKIP = Identifier("skip", '?')
BAD = "~ite(cond, wp_ae(loopBody,true), wp_ae(epilogue, post))"
@classmethod
def factor_loop(cls, program):
stmts = program.split(";")
for i, stmt in enumerate(stmts):
if stmt.root == "while":
cond, _, body = stmt.subtrees
return cls(prologue=stmts[:i],
cond=cond,
body=body,
epilogue=stmts[i + 1:])
return None
@classmethod
def locate_loop(cls, expansion):
[program] = expansion("program")
if program.subtrees:
l = cls.factor_loop(program)
if l: return l
[cond] = expansion("cond")
[body] = expansion("loopBody")
return cls(prologue=[], cond=cond, body=body, epilogue=[])
def redefine(self, synopsis):
"""
Defines macros 'cond', 'loopBody', 'epilogue', and 'bad' in the environment.
"""
stmts = lambda x: FolFormula.join(self.SEMI, x, self.SKIP)
delta = synopsis.expansion.delta
delta.transformers += [
DeltaReduction.Transformer(delta, name, params=[], body=expr)
for name, expr in [("cond", self.cond), (
"loopBody", self.body), ("epilogue", stmts(self.epilogue))]
]
if not any(
getattr(t, 'head', None) == "bad" for t in delta.transformers):
bad = synopsis.expansion.parser * self.BAD
delta.transformers += [
DeltaReduction.Transformer(delta, "bad", params=[], body=bad)
]
class FolRegister(object):
UNDEF = Identifier("?", 'predicate')
def __init__(self, subset_of_symbols):
self.symbols = subset_of_symbols
def blur(self, phi):
reg = self
s = self.symbols
class FormulaWalk(RichTreeWalk.Visitor):
def enter(self, subtree, prune=lambda: None):
r = subtree.root
if isinstance(r, Identifier) and \
r.kind in ['function', 'predicate'] and r not in reg.symbols:
prune()
return reg.UNDEF
else:
return r
def join(self, node, prefix, infix, postfix):
known = [a for a in infix if a.root != reg.UNDEF]
if len(known) == len(infix):
return type(node)(prefix, known)
elif prefix == FolFormula.AND and len(known) == 1:
return known[0]
else:
return type(node)(reg.UNDEF)
def done(self, root, final):
return final
if isinstance(phi, FolFormula):
return RichTreeWalk(FormulaWalk())(phi)
elif isinstance(phi, FolTheory):
sig = self.blur(phi.signature)
t = (y for y in (self.blur(x) for x in phi)
if y.root != self.UNDEF)
return FolTheory(t).with_signature(sig)
elif isinstance(phi, FolManySortSignature):
return FolManySortSignature([(f, a)
for f, a in phi.funcs if f in s],
[(p, a)
for p, a in phi.preds if p in s],
self.blur(phi.sorts))
elif isinstance(phi, FolSignature):
return FolSignature([(f, a) for f, a in phi.funcs if f in s],
[(p, a) for p, a in phi.preds if p in s])
elif isinstance(phi, FolSorts):
return FolSorts(self.blur(phi.sorts))
elif isinstance(phi, FolStructure):
return FolStructure(domain=phi.domain,
interpretation=self.blur(phi.interpretation))
elif isinstance(phi, dict):
return dict(
(sym, v) for sym, v in phi.iteritems() if sym in self.symbols)
else:
raise TypeError, phi
def _past_tense(consts, type_decls):
consts0 = []
for p in consts:
p0 = Identifier('%s0' % p, p.kind)
type_decls.sorts[p0] = type_decls.sorts[p][:]
consts0 += [p0]
return consts0
def _get_free_var(self, var):
i = get_var_index(var)
if i in self.vars:
return self.vars[i].identifier
else:
self.vars[i] = v = self.Var(Identifier("$%d" % i, 'variable'),
var.sort())
return v.identifier
def signature(self):
"""
Extracts a first-order sorted signature describing the type of
the structure.
"""
sorts = FolSorts()
for name, (args, ret, _) in self.funcs.iteritems():
# ~ symbols with '!' are reserved for compiler-generated aux
if not "!" in name:
nameid = Identifier(
name, '?') # 'kind' will be filled by FolManySortSignature
argtypes = [
Identifier(a.subtrees[0].root, 'sort') for a in args
]
rettype = Identifier(ret.root, 'sort')
if rettype == 'bool': rettype = ''
sorts[nameid] = [FolSorts.FunctionType(argtypes, rettype)]
return FolManySortSignature.from_sorts(sorts)
def generate_order_and_sorting_properties(syn, vocab):
sorted_templ = FolScheme(syn * "sorted(ivlco([?u],[?v],n*))")
null = Identifier('null', 'function')
a = AbstractionProperties.from_named_formulas(
[('sorted%s%s' % (u, v), sorted_templ(u, v)) for u in vocab.consts
for v in [null]], vocab)
#a.props += generate_binary_properties_from_template\
# (FolScheme(syn * "R([?u],[?v])"), vocab.consts)
return a
def lookup(self, literal):
for sig in self.signatures:
for symbol in sig.itersymbols():
if symbol == literal or \
isinstance(symbol, Identifier) and \
symbol.mnemonic == literal:
return symbol
else:
return Identifier.promote(literal)
def generate_named_properties(name_property_list, type_decls):
named_axioms = []
for name, property_formula in name_property_list:
p = Identifier(name, 'predicate')
type_decls.sorts[p] = [((), '')]
axiom = FolFormula(FolFormula.IFF, [FolFormula(p), property_formula])
named_axioms += [(p, axiom)]
return named_axioms
def escaping(t):
if t not in FolFormula.INFIXES and t not in [
FolFormula.FORALL, FolFormula.EXISTS, FolFormula.NOT
]:
if not (isinstance(t, Identifier)
and isinstance(t.literal, (int, float))):
u = unicode(t)
if not idre.match(u):
t = Identifier(u'[%s]' % u, '?')
return t
def gen_uniq(self, sym):
hist = self.histogram
g = self.assigned.get(sym)
if g is not None: return g
literal = sym.literal
hist[literal] = i = hist[literal] + 1
ssc = '$%s' % i
#ssc = self.num_sscript(i)
self.assigned[sym] = g = Identifier(literal + ssc, sym.kind)
return g
def _quantify_forall(self, t):
vars0 = [
self.Var(Identifier(t.var_name(i), 'variable'), None)
for i in reversed(xrange(t.num_vars()))
]
body = self.with_some_vars(vars0)(t.body())
phi = body
for v in vars0:
phi = FolFormula(FolFormula.FORALL,
[FolFormula(v.identifier), phi])
return phi
class FolFormula(Tree):
Identifier = Identifier
AND = Identifier(u"∧", 'connective')
OR = Identifier(u"∨", 'connective')
NOT = Identifier(u"¬", 'connective')
IMPLIES = Identifier(u"➝", 'connective')
IFF = Identifier(u"↔", 'connective')
FORALL = Identifier(u"∀", 'quantifier')
EXISTS = Identifier(u"∃", 'quantifier')
TRUE = Identifier(True, 'predicate')
FALSE = Identifier(False, 'predicate')
INFIXES = [
IMPLIES, IFF, AND, OR, "=", "<", "<=", ">", ">=", "!=", u"≠", u"≤",
u"≥", u"∈", u"∉", "+", "-", "*", "/", "^"
]
LEFT = "LEFT"
RIGHT = "RIGHT"
ASSOC = "ASSOC"
PREC = {
AND: (1, ASSOC),
OR: (2, ASSOC),
IMPLIES: (3, RIGHT),
IFF: (3, RIGHT)
}
def __unicode__(self):
if self.root in [self.FORALL, self.EXISTS] and len(self.subtrees) == 2:
return u"%s%r (%r)" % ((self.root, ) + tuple(self.subtrees))
elif self.root in self.INFIXES and len(self.subtrees) == 2:
p = lambda x, pos, r=self.root: self._parenthesize(r, x, pos)
return u"%s %s %s" % (p(self.subtrees[0], self.LEFT), self.root,
p(self.subtrees[1], self.RIGHT))
elif isinstance(self.root, RepresentationForm):
return self.root.repr(self.subtrees)
elif isinstance(self.root, Identifier):
if len(self.subtrees) == 0:
return unicode(self.root)
else:
subreprs = u", ".join( ` x ` for x in self.subtrees)
return u"%s(%s)" % (self.root, subreprs)
def xform(self, phi):
if phi.root == 'fresh' and phi.subtrees:
symbols = phi.subtrees[:-1]
if any(x.subtrees for x in symbols):
raise ValueError, "invalid fresh symbols '%s'" % symbols
symbols = [x.root for x in symbols]
phi = phi.subtrees[-1]
newscope = AlphaRenaming.NS()
return TreeNodeRename({
k: Identifier(k.literal, k.kind, k.mnemonic, ns=newscope)
for k in symbols
})(phi)
def _ident(self, tok, arity):
""" Creates an identifier from a given token. """
if isinstance(tok, Identifier):
return tok
elif any(isinstance(tok, t) for t in self.native_types):
return Identifier(tok, 'function')
try:
return self.OPERATOR_MAP[tok]
except KeyError:
try:
return self.OPERATOR_MAP[(tok, arity)]
except KeyError:
return self.lookup(tok)
def display_invariant(inv, abs_props):
z3g = Z3Gate()
fol_inv = z3g.formula_back(inv)
bnd = [t.subtrees[0] for t in fol_inv.nodes if t.root.kind == 'quantifier']
subst = {
v: FolFormula(Identifier("x%d" % i, 'variable'))
for i, v in enumerate(bnd)
}
subst.update(abs_props.defs)
fol_inv = FolSubstitution(subst)(fol_inv)
print " - " * 20
print fol_inv
print " - " * 20
def __call__(self, t):
if is_var(t):
return FolFormula(self._get_free_var(t))
elif is_true(t) or is_false(t):
return FolFormula(is_true(t))
elif is_const(t):
kind = 'predicate' if is_bool(t) else 'function'
return FolFormula(Identifier(unicode(t), kind))
elif is_quantifier(t) and t.is_forall():
return self._quantify_forall(t)
elif is_app(t):
r = t.decl()
for k, v in self.o.map_ops.iteritems():
if is_app_of(t, k):
r = v
break
else:
r = Identifier(unicode(r), '?')
if callable(r):
return r([self(x) for x in t.children()])
else:
return FolFormula(r, [self(x) for x in t.children()])
else:
raise NotImplementedError
def __call__(self, z3_elements):
sorts = FolSorts()
decls = {}
for z3_symbol in z3_elements:
idf = Identifier(z3_symbol.name(), self._get_kind(z3_symbol))
decls[idf] = z3_symbol
if is_const(z3_symbol):
sorts[idf] = FolSorts.FunctionType((), z3_symbol.sort())
elif is_func_decl(z3_symbol):
z3_domains = [
z3_symbol.domain(i) for i in xrange(z3_symbol.arity())
]
z3_range = z3_symbol.range()
sorts[idf] = FolSorts.FunctionType(tuple(z3_domains), z3_range)
sigma = FolManySortSignature.from_sorts(sorts)
sigma.z3_decls = decls
return sigma
class Signature:
eq = Identifier('=', 'predicate')
neq = Identifier(u'≠', 'predicate')
formal = FolSignature([], [(eq, 2), (neq, 2)])
def p_tagged_leaf(self, p):
"""atom : TAG IDENTIFIER
| TAG ESCAPED_SYMBOL
"""
p[0] = Tree(Identifier.promote(p[2], kind=p[1]))
class _:
u = Identifier('u', 'function')
v = Identifier('v', 'function')
w = Identifier('w', 'function')
R = Identifier('R', 'predicate')
sorts = FolSorts({u: u'→V', v: u'→V', w: u'→V', R: u'V×V→'})
def prime(self):
prime = lambda x: Identifier("%s'" % x.literal, x.kind)
vocab_prime = TwoVocabulary()
vocab_prime.locals = [(x, prime(x)) for _, x in self.locals]
return vocab_prime
def p_tagged_func_leaf(self, p):
"""atom : FUNCTION_TAG IDENTIFIER
| FUNCTION_TAG ESCAPED_SYMBOL
"""
p[0] = Tree(Identifier.promote(p[2], kind='function'))
def generate_gamma(syn, preds, decls):
dtca = Identifier('dtca', '?')
starred = [z for z in preds if '*' in z.literal]
gamma = FolFormula.conjunction(
[FolFormula(dtca, [FolFormula(z)]) for z in starred])
return generate_z3_condition(gamma, syn, decls)
def unescape_identifier(s):
return Identifier(self.naming.unescape(s.literal), s.kind, s.ns)
if y.root != self.UNDEF)
return FolTheory(t).with_signature(sig)
elif isinstance(phi, FolManySortSignature):
return FolManySortSignature([(f, a)
for f, a in phi.funcs if f in s],
[(p, a)
for p, a in phi.preds if p in s],
self.blur(phi.sorts))
elif isinstance(phi, FolSignature):
return FolSignature([(f, a) for f, a in phi.funcs if f in s],
[(p, a) for p, a in phi.preds if p in s])
elif isinstance(phi, FolSorts):
return FolSorts(self.blur(phi.sorts))
elif isinstance(phi, FolStructure):
return FolStructure(domain=phi.domain,
interpretation=self.blur(phi.interpretation))
elif isinstance(phi, dict):
return dict(
(sym, v) for sym, v in phi.iteritems() if sym in self.symbols)
else:
raise TypeError, phi
if __name__ == '__main__':
from logic.fol import FolSymbolic
p = lambda x: Identifier(x, 'predicate')
f = lambda x: Identifier(x, 'function')
L = FolSymbolic.Language().with_(a=p('a'), b=f('b'), c=f('c'), d=f('d'))
phi = L * "(a(b,c,d) | a(b,c,c)) & a(b,b,c)"
print phi
print FolRegister(set([p('a'), f('b'), f('c')])).blur(phi)
from pattern.collection.basics import OneToOne
from logic.fol.semantics.graphs import AlgebraicStructureGraphTool
from z3support.adapter import Z3ModelToFolStructure, Z3FormulaToFolFormula
from mini_bmc import BMC
from logic.fol.syntax.transform.delta import DeltaReduction
#------------------------------------------------------------------------------#
# Declarations
#
impSort = V = DeclareSort('V')
n = Function('n*', V, V, BoolSort())
n0 = Function('n*0', V, V, BoolSort())
n_prime = Function('n*@', V, V, BoolSort())
eqrel = Identifier('eqrel', 'macro')
eqpred = Identifier('eqpred', 'macro')
def nPlus(x, y):
return And(x != y, n(x, y))
#
#------------------------------------------------------------------------------#
class Z3Gate(object):
def __init__(self):
self.z3_sort_map = OneToOne({
'bool': BoolSort(),
def singl(self, t): return FolFormula(Identifier((t.subtrees[0] if t.subtrees else t).root.token.value, '?')) def qua(self, t): return FolFormula(self.PRIM[t.subtrees[0].root.token.value], [self.singl(t.subtrees[1]), t.subtrees[3]])
def __call__(self, program):
wps = WeakestPreSynthesis()
wps.configure(detptr_libraries())
wps.syn.libs += [self.VC] #TODO - change
formulas , decls = wps_formula_get(wps,program)
I_args = inv_args_get(wps, "I")
formula = FolFormula.conjunction(formulas)
prefix = wp_forall_prefix_get(formula)| set([Identifier('null', 'const')])
bounded_prefix = AuxTransformers.get_all_bound_vars(formula)
prefix-=bounded_prefix
pprint( formulas )
print prefix
z3_formulas_with_blasting = []
from shape2horn import hoist_forall
from shape2horn import blast_horn
from shape2horn import hoist_horn
formulas_with_implies = []
ackm_bools = {}
ackm_bools_to_vars = {}
#sanity = FormulaSanity()
watch = Stopwatch()
with watch:
for f in formulas:
if f.root == 'true':
continue
head = f.subtrees[1]
body = f.subtrees[0]
head_ls = FolFormula.split(head) #splits conjunctions in head
for i in head_ls:
#creates new formulas of form: body -> i
f_with_implies = create_f_with_implies(body,i)
formulas_with_implies.append( f_with_implies )
for s in formulas_with_implies:
print '-------- Input Clause ----------------'
print s
s_with_gamma = gamma_add( s )
#renumber_bound_vars() renames bounded vars to unique numbers
s_with_gamma = AuxTransformers.renumber_bound_vars( s_with_gamma )
print s_with_gamma
z3_f = transform_formula_to_z3(prefix, s_with_gamma, decls)
for f in hoist_horn(z3_f[0]):
z3_f_hoisted = hoist_forall(f)
print '-------- Hoisted Formula ------------------'
print z3_f_hoisted
blasted_f = blast_horn(z3_f_hoisted)
print '-------- Blasted Formula ---------------------'
#print blasted_f
if 0:
blasted_f_with_replaced_n = replace_nstar_with_bools( blasted_f, \
decls, ackm_bools, ackm_bools_to_vars )
f_with_ackm_reduction = ackerman_reduction_get( \
blasted_f_with_replaced_n , ackm_bools_to_vars )
#print ackm_bools_to_vars
z3_formulas_with_blasting.append( blasted_f )
#benchmark_print_to_file(h, z3_formulas_with_blasting)
formulas_solver ( self, z3_formulas_with_blasting, decls["I"], I_args )
print 'Total sovling time: ',watch.total_time,'sec'
class FolSymbolic(Tree, promote.SimplisticPromoteMixIn):
"""
Provides syntactic sugar for building first-order formulas.
There are two recommended usage forms:
1. Define variables of type FolSymbolic, each representing a single
symbol (variable, function, predicate), then compose them using
operators {~, &, |, >>, %, **, //}, and eventually call .to_formula().
e.g.
a = FolSymbolic(Identifier('a', 'predicate'))
u = FolSymbolic(Identifier('u', 'variable'))
phi = (u ** (a(u) >> ~a(u))).to_formula()
2. Define a lambda function with arguments each representing a symbol
(variable, function, predicate) and performing logical operations on
them using {~, &, |, >>, %, **, //}; then call .formula(...).
e.g.
sig = {'a': Identifier('a', 'predicate'),
'u': Identifier('u', 'predicate')}
phi = FolSymbolic(lambda a,u: u ** (a(u) >> ~a(u)))
~ stands for logical not (¬)
& stands for logical and (∧)
| stands for logical or (∨)
>> stands for implication (➝)
% stands for if-and-only-if (↔)
** stands for universal quantification (∀)
// stands for existential quantification (∃)
"""
SUGAR = {
'~': FolFormula.NOT,
'&': FolFormula.AND,
'|': FolFormula.OR,
'>>': FolFormula.IMPLIES,
'%': FolFormula.IFF,
'**': FolFormula.FORALL,
'//': FolFormula.EXISTS
}
VECTOR = Identifier(u"◦⃗", "macro")
def __invert__(self):
return type(self)('~', [self])
def __and__(self, other):
return type(self)('&', [self, other])
def __or__(self, other):
return type(self)('|', [self, other])
def __rshift__(self, other):
return type(self)('>>', [self, other])
def __mod__(self, other):
return type(self)('%', [self, other])
def __pow__(self, other):
return type(self)('**', [self, other])
def __floordiv__(self, other):
return type(self)('//', [self, other])
def __sub__(self, operator):
if isinstance(operator, FolSymbolic):
operator = operator.root
if isinstance(operator, Callable):
return type(self)(operator(self.root), self.subtrees)
else:
return NotImplemented
def __call__(self, *args):
if self.subtrees:
raise SyntaxError, "invalid use of () after '%r'" % self
elif isinstance(self.root, Identifier):
return type(self)(self.root, [
x if isinstance(x, FolSymbolic) else FolSymbolic(x)
for x in args
])
else:
return type(self)(
self.root(*((x.root if isinstance(x, FolSymbolic) else x)
for x in args)))
def __getitem__(self, subscript):
if isinstance(self.root, (Sequence, Mapping)):
return type(self)(self.root[subscript])
else:
return NotImplemented
def build(self, root, subtrees):
return type(self)(root, [self.promote(x) for x in subtrees])
def with_identifiers(self, identifiers):
self.identifiers = identifiers
return self
def to_formula(self):
r = self.root
if isinstance(r, FolFormula):
return r
elif isinstance(r, list):
r = [isinstance(x, FolFormula) and x or FolFormula(x) for x in r]
return FolFormula(self.VECTOR, r)
else:
formula = FolFormula(self.SUGAR.get(r, r),
[sub.to_formula() for sub in self.subtrees])
return self.expand_vectors(formula)
def expand_vectors(self, formula):
root = formula.root
subtrees = formula.subtrees
if root in [FolFormula.FORALL, FolFormula.EXISTS
] and subtrees[0].root == self.VECTOR:
formula = reduce(lambda x, y: FolFormula(root, [y, x]),
reversed(subtrees[0].subtrees), subtrees[1])
elif isinstance(root, Identifier) and root.kind != "connective":
flatten = [
x for s in subtrees
for x in (s.root != self.VECTOR and [s] or s.subtrees)
]
formula = FolFormula(root, flatten)
elif root == self.VECTOR:
raise ValueError, "a vector is not allowed here: '%s'" % formula
formula = FolFormula(
formula.root, [self.expand_vectors(x) for x in formula.subtrees])
return formula
@classmethod
def construct(cls, lambda_expr, signature_vars={}):
import inspect #@UnresolvedImport
if isinstance(lambda_expr, str) or isinstance(lambda_expr, unicode):
lambda_expr = flam(lambda_expr)
symbols, _, _, _ = inspect.getargspec(lambda_expr)
def mksymbol(literal):
if literal == 'true': return True
if literal == 'false': return False
try:
return signature_vars[literal]
except KeyError:
return Identifier(literal, '?')
ids = [mksymbol(s) for s in symbols]
ids_genuine = [i for i in ids if isinstance(i, Identifier)]
id_args = tuple(cls(i) for i in ids)
retval = lambda_expr(*id_args)
return cls.promote(retval).with_identifiers(ids_genuine)
@classmethod
def formula(cls, lambda_expr, signature_vars={}):
return cls.construct(lambda_expr, signature_vars).to_formula()
class Language(object):
"""
Just a bit of syntactic sugar to avoid too much repetition in programs
where there are lots of formulas.
"""
def __init__(self, signatures=[]):
if not isinstance(signatures, collections.Sequence):
signatures = [signatures]
self.signatures = []
for sig in signatures:
if hasattr(sig, '__bases__'):
ex = [c for c in oop.all_ur_base(sig) if c is not object]
else:
ex = [new.classobj('Signature', (), {'formal': sig})]
self.signatures.extend(ex)
self.dict = {}
self.FolSymbolic = FolSymbolic
for signature in reversed(self.signatures):
self.dict.update(signature.__dict__)
def with_(self, **kw):
c = copy.copy(self)
c.dict = copy.copy(c.dict)
c.dict.update(kw)
return c
def with_sugar(self, *sugars):
"""
Combines the functionality of one or more FolSymbolic mix-ins,
for use in the syntax of formulas processed by this language.
"""
bases = (CovertOps, ) + sugars + (self.FolSymbolic, )
self.FolSymbolic = new.classobj('FolSymbolic+', bases,
{'_': self.signatures[0]})
return self
@property
def signature(self):
return reduce(lambda x, y: x | y,
(s.formal
for s in self.signatures if hasattr(s, 'formal')))
def formula(self, expr):
return self.FolSymbolic.formula(expr, self.dict)
def __mul__(self, expr):
if isinstance(expr, list):
from logic.fol.syntax.theory import FolTheory
return FolTheory(self.formula(el) for el in expr)\
.with_signature(self.signature)
else:
return self.formula(expr)
