def sort_infer(term):
res = concretize_sorts(term)
for x in chain(lu.used_variables(res),lu.used_constants(res)):
if lg.contains_topsort(x.sort) or lg.is_polymorphic(x.sort):
raise IvyError(None,"cannot infer sort of {} in {}".format(x,term))
# print "sort_infer: res = {!r}".format(res)
return res
def sort_infer(term):
res = concretize_sorts(term)
for x in chain(lu.used_variables(res),lu.used_constants(res)):
if lg.contains_topsort(x.sort) or lg.is_polymorphic(x.sort):
raise IvyError(None,"cannot infer sort of {}".format(x))
# print "sort_infer: res = {!r}".format(res)
return res
def is_segregated(fmla):
fmla = drop_existentials(fmla)
vs = lu.used_variables(fmla)
apps = list(t for t in subterms(fmla) if isinstance(t,lg.Apply) and lu.used_variables(t))
byname = iu.partition(apps,lambda self:self.func.name)
for name,terms in byname.iteritems():
pat = seg_var_pat(terms[0])
pvs = set(x for x in pat if x != None)
if pvs != vs:
reason_text = "{} is not segrated (not all variables appear)".format(name)
return False
for t in terms[1:]:
if seg_var_pat(t) != pat:
reason_text = "{} is not segrated (variable positions differ)".format(name)
return False
return True
def is_segregated(fmla):
fmla = drop_existentials(fmla)
vs = lu.used_variables(fmla)
apps = list(t for t in subterms(fmla) if isinstance(t,lg.Apply) and lu.used_variables(t))
byname = iu.partition(apps,lambda self:self.func.name)
for name,terms in byname.iteritems():
pat = seg_var_pat(terms[0])
pvs = set(x for x in pat if x != None)
if pvs != vs:
reason_text = "{} is not segrated (not all variables appear)".format(name)
return False
for t in terms[1:]:
if seg_var_pat(t) != pat:
reason_text = "{} is not segrated (variable positions differ)".format(name)
return False
return True
def check_concretely_sorted(term,no_error=False,unsorted_var_names=()):
for x in chain(lu.used_variables(term),lu.used_constants(term)):
if lg.contains_topsort(x.sort) or lg.is_polymorphic(x.sort):
if x.name not in unsorted_var_names:
if no_error:
raise lg.SortError
raise IvyError(None,"cannot infer sort of {} in {}".format(x,repr(term)))
def rename_vars_no_clash(fmlas1, fmlas2):
""" Rename the free variables in formula list fmlas1
so they occur nowhere in fmlas2, avoiding capture """
uvs = lu.used_variables(*fmlas2)
uvs = lu.union(uvs, lu.bound_variables(*fmlas1))
rn = iu.UniqueRenamer('', (v.name for v in uvs))
vs = lu.free_variables(*fmlas1)
vmap = dict((v, Variable(rn(v.name), v.sort)) for v in vs)
return [lu.substitute(f, vmap) for f in fmlas1]
def check_concretely_sorted(term, no_error=False, unsorted_var_names=()):
for x in chain(lu.used_variables(term), lu.used_constants(term)):
if lg.contains_topsort(x.sort) or lg.is_polymorphic(x.sort):
if x.name not in unsorted_var_names:
if no_error:
raise lg.SortError
raise IvyError(
None,
"cannot infer sort of {} in {}".format(x, repr(term)))
def rename_vars_no_clash(fmlas1,fmlas2):
""" Rename the free variables in formula list fmlas1
so they occur nowhere in fmlas2, avoiding capture """
uvs = lu.used_variables(*fmlas2)
uvs = lu.union(uvs,lu.bound_variables(*fmlas1))
rn = iu.UniqueRenamer('',(v.name for v in uvs))
vs = lu.free_variables(*fmlas1)
vmap = dict((v,Variable(rn(v.name),v.sort)) for v in vs)
return [lu.substitute(f,vmap) for f in fmlas1]
