def solve_all(self, f1, trace):
""" Returns an upperset in UR. You want to project
it to R1 to use as the output. """
dp0 = self.dp1
R = dp0.get_res_space()
R1 = R[0]
UR = UpperSets(R)
# we consider a set of iterates
# we start from the bottom
trace.log('Iterating in UR = %s' % UR.__str__())
s0 = R.Us(R.get_minimal_elements())
S = [
KleeneIteration(s=s0,
s_converged=R.Us(set()),
r=upperset_project(s0, 0),
r_converged=R1.Us(set()))
]
for i in range(1, 1000000): # XXX
with trace.iteration(i) as t:
si_prev = S[-1].s
si_next, converged = solve_f_iterate(dp0, f1, R, si_prev, t)
iteration = KleeneIteration(s=si_next,
s_converged=converged,
r=upperset_project(si_next, 0),
r_converged=upperset_project(
converged, 0))
S.append(iteration)
t.log('R = %s' % UR.format(si_next))
if do_extra_checks():
try:
UR.check_leq(si_prev, si_next)
except NotLeq as e:
msg = 'Loop iteration invariant not satisfied.'
raise_wrapped(Exception,
e,
msg,
si_prev=si_prev,
si_next=si_next,
dp=self.dp1)
t.values(state=S[-1])
if UR.leq(si_next, si_prev):
t.log('Breaking because converged (iteration %s) ' % i)
#t.log(' solution is %s' % (UR.format(sip)))
# todo: add reason why interrupted
break
trace.values(type='loop2', UR=UR, R=R, dp=self, iterations=S)
res_all = S[-1].s
res_r1 = upperset_project(res_all, 0)
result = dict(res_all=res_all, res_r1=res_r1)
return result
def solve_all(self, f1, trace):
""" Returns an upperset in UR. You want to project
it to R1 to use as the output. """
dp0 = self.dp1
R = dp0.get_res_space()
R1 = R[0]
UR = UpperSets(R)
# we consider a set of iterates
# we start from the bottom
trace.log('Iterating in UR = %s' % UR.__str__())
s0 = R.Us(R.get_minimal_elements())
S = [KleeneIteration(s=s0, s_converged=R.Us(set()),
r=upperset_project(s0, 0),
r_converged=R1.Us(set()))]
for i in range(1, 1000000): # XXX
with trace.iteration(i) as t:
si_prev = S[-1].s
si_next, converged = solve_f_iterate(dp0, f1, R, si_prev, t)
iteration = KleeneIteration(s=si_next,
s_converged=converged,
r=upperset_project(si_next, 0),
r_converged=upperset_project(converged, 0))
S.append(iteration)
t.log('R = %s' % UR.format(si_next))
if do_extra_checks():
try:
UR.check_leq(si_prev, si_next)
except NotLeq as e:
msg = 'Loop iteration invariant not satisfied.'
raise_wrapped(Exception, e, msg, si_prev=si_prev,
si_next=si_next, dp=self.dp1)
t.values(state=S[-1])
if UR.leq(si_next, si_prev):
t.log('Breaking because converged (iteration %s) ' % i)
#t.log(' solution is %s' % (UR.format(sip)))
# todo: add reason why interrupted
break
trace.values(type='loop2', UR=UR, R=R, dp=self, iterations=S)
res_all = S[-1].s
res_r1 = upperset_project(res_all, 0)
result = dict(res_all=res_all, res_r1=res_r1)
return result
def get_new_lowerbounds(context, name, lower_bounds):
connections = context.connections
ndp = context.names[name]
fnames = ndp.get_fnames()
def get_lb_for_fname(fname):
cf = CFunction(name, fname)
is_connected, cresource = get_connection_to_function(connections, cf)
if is_connected:
lb = lower_bounds[cresource]
else:
F = context.get_ftype(cf)
lb = F.Us(F.get_minimal_elements())
# print('lb for %r: %s' % (fname, lb))
return lb
lbs = []
for fname in fnames:
lb = get_lb_for_fname(fname)
lbs.append(lb)
if len(fnames) == 1:
lbF = lbs[0]
else:
lbF = upperset_product_multi(tuple(lbs))
dp = ndp.get_dp()
ur = dp.solveU(lbF)
# print('Solving with %s -> %s ' % (lbF, ur))
lower_bounds_new = {}
rnames = ndp.get_rnames()
if len(rnames) == 1:
cr = CResource(name, rnames[0])
lower_bounds_new[cr] = ur
else:
for i, rname in enumerate(rnames):
uri = upperset_project(ur, i)
cr = CResource(name, rname)
lower_bounds_new[cr] = uri
return lower_bounds_new
def get_new_lowerbounds(context, name, lower_bounds):
connections = context.connections
ndp = context.names[name]
fnames = ndp.get_fnames()
def get_lb_for_fname(fname):
cf = CFunction(name, fname)
is_connected, cresource = get_connection_to_function(connections, cf)
if is_connected:
lb = lower_bounds[cresource]
else:
F = context.get_ftype(cf)
lb = F.Us(F.get_minimal_elements())
# print('lb for %r: %s' % (fname, lb))
return lb
lbs = []
for fname in fnames:
lb = get_lb_for_fname(fname)
lbs.append(lb)
if len(fnames) == 1:
lbF = lbs[0]
else:
lbF = upperset_product_multi(tuple(lbs))
dp = ndp.get_dp()
ur = dp.solveU(lbF)
# print('Solving with %s -> %s ' % (lbF, ur))
lower_bounds_new = {}
rnames = ndp.get_rnames()
if len(rnames) == 1:
cr = CResource(name, rnames[0])
lower_bounds_new[cr] = ur
else:
for i, rname in enumerate(rnames):
uri = upperset_project(ur, i)
cr = CResource(name, rname)
lower_bounds_new[cr] = uri
return lower_bounds_new
