def interp_from_unsat_core(clauses1, clauses2, core, interpreted):
used_syms = used_symbols_clauses(core)
vars = used_variables_clauses(core)
if vars:
# print "interpolant would require skolem constants"
return None
core_consts = used_constants_clauses(core)
clauses2_consts = used_constants_clauses(clauses2)
# print "interp_from_unsat_core core_consts = {}".format(map(str,core_consts))
# print "interp_from_unsat_core clauses2_consts = {}".format(map(str,clauses2_consts))
renaming = dict()
i = 0
for v in core_consts:
if v not in clauses2_consts or v.is_skolem(
): # and v not in interpreted:
renaming[v] = Variable('V' + str(i), Constant(v).get_sort())
i += 1
# print "interp_from_unsat_core core = {}".format(core)
# print "interp_from_unsat_core renaming = {}".format(renaming)
renamed_core = substitute_constants_clauses(core, renaming)
# print "interp_from_unsat_core renamed_core = {}".format(renamed_core)
res = simplify_clauses(
Clauses([Or(*[negate(c) for c in renamed_core.fmlas])]))
# print "interp_from_unsat_core res = {}".format(res)
return res
def clauses_model_to_clauses(clauses1,
ignore=None,
implied=None,
model=None,
numerals=False):
""" Return a model of clauses1 or None. Model is represented by a
clause set that uniquely characterizes it. The function "ignore", if
provided, returns true for symbols that should be ignored in the
model (tyipically skolems).
"""
## print "clauses_model_to_clauses clauses1 = {}".format(clauses1)
h = model_if_none(clauses1, implied, model)
ignore = ignore if ignore != None else lambda x: False
res = model_facts(h, ignore, clauses1)
# if using numerals, replace the universe elements with them
if numerals:
m = dict((c.rep, ivy_logic.Constant(c.rep.rename(lambda s: str(i))))
for s in h.sorts()
for i, c in enumerate(h.sorted_sort_universe(s)))
# else, existentially quantify the names of the universe elements
else:
m = dict((c.rep, ivy_logic.Constant(c.rep.prefix('__')))
for s in h.sorts() for c in h.sort_universe(s))
res = substitute_constants_clauses(res, m)
# print "clauses_model_to_clauses res = {}".format(res)
return res
def clauses_model_to_diagram(clauses1,ignore = None, implied = None,model = None,axioms=None,weaken=True,numerals=True):
""" Return a diagram of a model of clauses1 or None. The function "ignore", if
provided, returns true for symbols that should be ignored in the
diagram.
"""
# print "clauses_model_to_diagram clauses1 = {}".format(clauses1)
if axioms == None:
axioms = true_clauses()
h = model_if_none(and_clauses(clauses1,axioms),implied,model)
ignore = ignore if ignore != None else lambda x: False
res = model_facts(h,(lambda x: False),clauses1,upclose=True) # why not pass axioms?
# print "clauses_model_to_diagram res = {}".format(res)
# find representative elements
# find representatives of universe elements
if numerals:
reps = numeral_assign(res,h)
else:
reps = dict()
for c in used_constants_clauses(clauses1):
# print "constant: {}".format(c)
mc = get_model_constant(h.model,ivy_logic.Constant(c))
# print "value: {}".format(mc)
if mc.rep not in reps or reps[mc.rep].rep.is_skolem() and not c.is_skolem():
reps[mc.rep] = ivy_logic.Constant(c)
for s in h.sorts():
for e in h.sort_universe(s):
if e.rep not in reps:
reps[e.rep] = e.rep.skolem()()
# print "clauses_model_to_diagram reps = {}".format(reps)
# filter out clauses using universe elements without reps
# res = [cls for cls in res if all(c in reps for c in used_constants_clause(cls))]
# replace universe elements with their reps
# print "clauses_model_to_diagram res = {}".format(res)
res = substitute_constants_clauses(res,reps)
# filter defined skolems
# this caused a bug in the leader example. the generated diagram did not satisfy clauses1
res.fmlas = [f for f in res.fmlas if not any((x.is_skolem() and x in clauses1.defidx) for x in used_symbols_ast(f))]
# print "clauses_model_to_diagram res = {}".format(res)
uc = Clauses([[ivy_logic._eq_lit(ivy_logic.Variable('X',c.get_sort()),reps[c.rep])
for c in h.sort_universe(s)] for s in h.sorts()])
# print "clauses_model_to_diagram uc = {}".format(uc)
# uc = true_clauses()
if weaken:
res = unsat_core(res,and_clauses(uc,axioms),clauses1) # implied not used here
# print "clauses_model_to_diagram res = {}".format(res)
# print "foo = {}".format(unsat_core(and_clauses(uc,axioms),true_clauses(),clauses1))
# filter out non-rep skolems
repset = set(c.rep for e,c in reps.iteritems())
# print "clauses_model_to_diagram repset = {}".format(repset)
ign = lambda x,ignore=ignore: (ignore(x) and not x in repset)
res = Clauses([cl for cl in res.fmlas if not any(ign(c) for c in used_symbols_ast(cl))])
# print "clauses_model_to_diagram res = {}".format(res)
return res
def clauses_model_to_clauses(clauses1,ignore = None, implied = None,model = None, numerals=False):
""" Return a model of clauses1 or None. Model is represented by a
clause set that uniquely characterizes it. The function "ignore", if
provided, returns true for symbols that should be ignored in the
model (tyipically skolems).
"""
## print "clauses_model_to_clauses clauses1 = {}".format(clauses1)
h = model_if_none(clauses1,implied,model)
ignore = ignore if ignore != None else lambda x: False
res = model_facts(h,ignore,clauses1)
# if using numerals, replace the universe elements with them
if numerals:
m = dict((c.rep,ivy_logic.Constant(c.rep.rename(lambda s:str(i))))
for s in h.sorts() for i,c in enumerate(h.sorted_sort_universe(s)))
# else, existentially quantify the names of the universe elements
else:
m = dict((c.rep,ivy_logic.Constant(c.rep.prefix('__')))
for s in h.sorts() for c in h.sort_universe(s))
res = substitute_constants_clauses(res,m)
# print "clauses_model_to_clauses res = {}".format(res)
return res
def interp_from_unsat_core(clauses1,clauses2,core,interpreted):
used_syms = used_symbols_clauses(core)
vars = used_variables_clauses(core)
if vars:
# print "interpolant would require skolem constants"
return None
core_consts = used_constants_clauses(core)
clauses2_consts = used_constants_clauses(clauses2)
# print "interp_from_unsat_core core_consts = {}".format(map(str,core_consts))
# print "interp_from_unsat_core clauses2_consts = {}".format(map(str,clauses2_consts))
renaming = dict()
i = 0
for v in core_consts:
if v not in clauses2_consts or v.is_skolem(): # and v not in interpreted:
renaming[v] = Variable('V' + str(i),Constant(v).get_sort())
i += 1
# print "interp_from_unsat_core core = {}".format(core)
# print "interp_from_unsat_core renaming = {}".format(renaming)
renamed_core = substitute_constants_clauses(core,renaming)
# print "interp_from_unsat_core renamed_core = {}".format(renamed_core)
res = simplify_clauses(Clauses([Or(*[negate(c) for c in renamed_core.fmlas])]))
# print "interp_from_unsat_core res = {}".format(res)
return res
def clauses_model_to_diagram(clauses1,
ignore=None,
implied=None,
model=None,
axioms=None,
weaken=True):
""" Return a diagram of a model of clauses1 or None. The function "ignore", if
provided, returns true for symbols that should be ignored in the
diagram.
"""
print "clauses_model_to_diagram clauses1 = {}".format(clauses1)
if axioms == None:
axioms = true_clauses
h = model_if_none(and_clauses(clauses1, axioms), implied, model)
ignore = ignore if ignore != None else lambda x: False
res = model_facts(h, (lambda x: False), clauses1,
upclose=True) # why not pass axioms?
print "clauses_model_to_diagram res = {}".format(res)
# find representative elements
# find representatives of universe elements
reps = dict()
for c in used_constants_clauses(clauses1):
# print "constant: {}".format(c)
mc = get_model_constant(h.model, ivy_logic.Constant(c))
# print "value: {}".format(mc)
if mc.rep not in reps or reps[
mc.rep].rep.is_skolem() and not c.is_skolem():
reps[mc.rep] = ivy_logic.Constant(c)
for s in h.sorts():
for e in h.sort_universe(s):
if e.rep not in reps:
reps[e.rep] = e.rep.skolem()()
print "clauses_model_to_diagram reps = {}".format(reps)
# filter out clauses using universe elements without reps
# res = [cls for cls in res if all(c in reps for c in used_constants_clause(cls))]
# replace universe elements with their reps
print "clauses_model_to_diagram res = {}".format(res)
res = substitute_constants_clauses(res, reps)
# filter defined skolems
# this caused a bug in the leader example. the generated diagram did not satisfy clauses1
res.fmlas = [
f for f in res.fmlas
if not any((x.is_skolem() and x in clauses1.defidx)
for x in used_symbols_ast(f))
]
print "clauses_model_to_diagram res = {}".format(res)
uc = Clauses([[
ivy_logic._eq_lit(ivy_logic.Variable('X', c.get_sort()), reps[c.rep])
for c in h.sort_universe(s)
] for s in h.sorts()])
print "clauses_model_to_diagram uc = {}".format(uc)
# uc = true_clauses()
if weaken:
res = unsat_core(res, and_clauses(uc, axioms),
clauses1) # implied not used here
print "clauses_model_to_diagram res = {}".format(res)
# print "foo = {}".format(unsat_core(and_clauses(uc,axioms),true_clauses(),clauses1))
# filter out non-rep skolems
repset = set(c.rep for e, c in reps.iteritems())
print "clauses_model_to_diagram repset = {}".format(repset)
ign = lambda x, ignore=ignore: (ignore(x) and not x in repset)
res = Clauses([
cl for cl in res.fmlas
if not any(ign(c) for c in used_symbols_ast(cl))
])
print "clauses_model_to_diagram res = {}".format(res)
return res
