def apply_lp_dpcp_bounds(all_tasks, resource_mapping, use_rta = True):
model = get_cpp_model(all_tasks)
topo = get_cpp_topology(resource_mapping)
res = lp_cpp.lp_dpcp_bounds(model, topo, use_rta)
for i, t in enumerate(all_tasks):
t.suspended = res.get_remote_blocking(i)
t.blocked = res.get_blocking_term(i)
return res
def apply_lp_dpcp_bounds(all_tasks, resource_mapping,
use_rta = True, use_py=False):
if use_py or not lp_cpp_available:
apply_py_lp_bounds(dpcp, all_tasks, resource_mapping, use_rta)
else:
model = get_cpp_model(all_tasks)
topo = get_cpp_topology(resource_mapping)
res = lp_cpp.lp_dpcp_bounds(model, topo, use_rta)
for i, t in enumerate(all_tasks):
t.suspended = res.get_remote_blocking(i)
t.blocked = res.get_blocking_term(i)
return res
def apply_lp_dpcp_bounds(all_tasks, resource_mapping,
use_rta = True, use_py=False):
if use_py or not lp_cpp_available:
apply_py_lp_bounds(dpcp, all_tasks, resource_mapping, use_rta)
else:
model = get_cpp_model(all_tasks)
topo = get_cpp_topology(resource_mapping)
res = lp_cpp.lp_dpcp_bounds(model, topo, use_rta)
for i, t in enumerate(all_tasks):
t.suspended = res.get_remote_blocking(i)
t.blocked = res.get_blocking_term(i)
return res
