def run(with_file=False):
args = get_argparser(with_file).parse_args()
init_logger(args)
dmgr = DeviceManager(FlatFileDB(args.ddb),
virtual_devices={"scheduler": DummyScheduler()})
pdb = FlatFileDB(args.pdb)
pdb.hooks.append(SimpleParamLogger())
rdb = ResultDB()
try:
exp_inst = _build_experiment(dmgr, pdb, rdb, args)
exp_inst.prepare()
exp_inst.run()
exp_inst.analyze()
finally:
dmgr.close_devices()
if args.hdf5 is not None:
with h5py.File(args.hdf5, "w") as f:
rdb.write_hdf5(f)
elif rdb.rt.read or rdb.nrt:
r = chain(rdb.rt.read.items(), rdb.nrt.items())
for k, v in sorted(r, key=itemgetter(0)):
print("{}: {}".format(k, v))
def run(with_file=False):
args = get_argparser(with_file).parse_args()
init_logger(args)
dmgr = DeviceManager(FlatFileDB(args.ddb),
virtual_devices={"scheduler": DummyScheduler()})
pdb = FlatFileDB(args.pdb)
pdb.hooks.append(SimpleParamLogger())
rdb = ResultDB()
try:
exp_inst = _build_experiment(dmgr, pdb, rdb, args)
exp_inst.prepare()
exp_inst.run()
exp_inst.analyze()
finally:
dmgr.close_devices()
if args.hdf5 is not None:
with h5py.File(args.hdf5, "w") as f:
rdb.write_hdf5(f)
elif rdb.rt.read or rdb.nrt:
r = chain(rdb.rt.read.items(), rdb.nrt.items())
for k, v in sorted(r, key=itemgetter(0)):
print("{}: {}".format(k, v))
def main():
sys.stdout = sys.stderr = LogForwarder()
start_time = None
rid = None
expid = None
exp = None
exp_inst = None
dmgr = DeviceManager(ParentDDB, virtual_devices={"scheduler": Scheduler()})
rdb = ResultDB()
rdb.rt.publish = update_rt_results
try:
while True:
obj = get_object()
action = obj["action"]
if action == "build":
start_time = time.localtime()
rid = obj["rid"]
expid = obj["expid"]
if obj["wd"] is not None:
# Using repository
expf = os.path.join(obj["wd"], expid["file"])
else:
expf = expid["file"]
exp = get_exp(expf, expid["class_name"])
dmgr.virtual_devices["scheduler"].set_run_info(
obj["pipeline_name"], expid, obj["priority"])
exp_inst = exp(dmgr, ParentPDB, rdb, **expid["arguments"])
put_object({"action": "completed"})
elif action == "prepare":
exp_inst.prepare()
put_object({"action": "completed"})
elif action == "run":
exp_inst.run()
put_object({"action": "completed"})
elif action == "analyze":
exp_inst.analyze()
put_object({"action": "completed"})
elif action == "write_results":
f = get_hdf5_output(start_time, rid, exp.__name__)
try:
rdb.write_hdf5(f)
if "repo_rev" in expid:
rr = expid["repo_rev"]
dtype = "S{}".format(len(rr))
dataset = f.create_dataset("repo_rev", (), dtype)
dataset[()] = rr.encode()
finally:
f.close()
put_object({"action": "completed"})
elif action == "examine":
examine(DummyDMGR(), DummyPDB(), ResultDB(), obj["file"])
put_object({"action": "completed"})
elif action == "terminate":
break
finally:
dmgr.close_devices()
def setUp(self):
self.ddb = FlatFileDB(os.path.join(artiq_root, "ddb.pyon"))
self.dmgr = DeviceManager(
self.ddb, virtual_devices={"scheduler": DummyScheduler()})
self.pdb = FlatFileDB(os.path.join(artiq_root, "pdb.pyon"))
self.rdb = ResultDB()
def main():
sys.stdout = sys.stderr = LogForwarder()
start_time = None
rid = None
expid = None
exp = None
exp_inst = None
dmgr = DeviceManager(ParentDDB,
virtual_devices={"scheduler": Scheduler()})
rdb = ResultDB()
rdb.rt.publish = update_rt_results
try:
while True:
obj = get_object()
action = obj["action"]
if action == "build":
start_time = time.localtime()
rid = obj["rid"]
expid = obj["expid"]
if obj["wd"] is not None:
# Using repository
expf = os.path.join(obj["wd"], expid["file"])
else:
expf = expid["file"]
exp = get_exp(expf, expid["class_name"])
dmgr.virtual_devices["scheduler"].set_run_info(
obj["pipeline_name"], expid, obj["priority"])
exp_inst = exp(dmgr, ParentPDB, rdb,
**expid["arguments"])
put_object({"action": "completed"})
elif action == "prepare":
exp_inst.prepare()
put_object({"action": "completed"})
elif action == "run":
exp_inst.run()
put_object({"action": "completed"})
elif action == "analyze":
exp_inst.analyze()
put_object({"action": "completed"})
elif action == "write_results":
f = get_hdf5_output(start_time, rid, exp.__name__)
try:
rdb.write_hdf5(f)
if "repo_rev" in expid:
rr = expid["repo_rev"]
dtype = "S{}".format(len(rr))
dataset = f.create_dataset("repo_rev", (), dtype)
dataset[()] = rr.encode()
finally:
f.close()
put_object({"action": "completed"})
elif action == "examine":
examine(DummyDMGR(), DummyPDB(), ResultDB(), obj["file"])
put_object({"action": "completed"})
elif action == "terminate":
break
finally:
dmgr.close_devices()
