def run(with_file=False):
args = get_argparser(with_file).parse_args()
init_logger(args)
device_mgr = DeviceManager(DeviceDB(args.device_db),
virtual_devices={"scheduler": DummyScheduler()})
dataset_db = DatasetDB(args.dataset_db)
dataset_mgr = DatasetManager(dataset_db)
try:
exp_inst = _build_experiment(device_mgr, dataset_mgr, args)
exp_inst.prepare()
exp_inst.run()
exp_inst.analyze()
except CompileError as error:
return
except Exception as exn:
if hasattr(exn, "artiq_core_exception"):
print(exn.artiq_core_exception, file=sys.stderr)
raise exn
finally:
device_mgr.close_devices()
if args.hdf5 is not None:
with h5py.File(args.hdf5, "w") as f:
dataset_mgr.write_hdf5(f)
else:
for k, v in sorted(dataset_mgr.local.items(), key=itemgetter(0)):
print("{}: {}".format(k, v))
dataset_db.save()
def run(with_file=False):
args = get_argparser(with_file).parse_args()
init_logger(args)
device_mgr = DeviceManager(DeviceDB(args.device_db),
virtual_devices={"scheduler": DummyScheduler()})
dataset_db = DatasetDB(args.dataset_db)
dataset_mgr = DatasetManager(dataset_db)
try:
exp_inst = _build_experiment(device_mgr, dataset_mgr, args)
exp_inst.prepare()
exp_inst.run()
exp_inst.analyze()
except CompileError as error:
return
except Exception as exn:
if hasattr(exn, "artiq_core_exception"):
print(exn.artiq_core_exception, file=sys.stderr)
raise exn
finally:
device_mgr.close_devices()
if args.hdf5 is not None:
with h5py.File(args.hdf5, "w") as f:
dataset_mgr.write_hdf5(f)
else:
for k, v in sorted(dataset_mgr.local.items(), key=itemgetter(0)):
print("{}: {}".format(k, v))
dataset_db.save()
def run(with_file=False):
args = get_argparser(with_file).parse_args()
init_logger(args)
device_mgr = DeviceManager(DeviceDB(args.device_db),
virtual_devices={"scheduler": DummyScheduler()})
dataset_db = DatasetDB(args.dataset_db)
dataset_mgr = DatasetManager(dataset_db)
try:
exp_inst = _build_experiment(device_mgr, dataset_mgr, args)
exp_inst.prepare()
exp_inst.run()
exp_inst.analyze()
finally:
device_mgr.close_devices()
if args.hdf5 is not None:
with h5py.File(args.hdf5, "w") as f:
dataset_mgr.write_hdf5(f)
else:
for k, v in sorted(dataset_mgr.local.items(), key=itemgetter(0)):
print("{}: {}".format(k, v))
dataset_db.save()
def run(with_file=False):
args = get_argparser(with_file).parse_args()
init_logger(args)
device_mgr = DeviceManager(DeviceDB(args.device_db),
virtual_devices={"scheduler": DummyScheduler()})
dataset_db = DatasetDB(args.dataset_db)
dataset_mgr = DatasetManager(dataset_db)
try:
exp_inst = _build_experiment(device_mgr, dataset_mgr, args)
exp_inst.prepare()
exp_inst.run()
exp_inst.analyze()
finally:
device_mgr.close_devices()
if args.hdf5 is not None:
with h5py.File(args.hdf5, "w") as f:
dataset_mgr.write_hdf5(f)
else:
for k, v in sorted(dataset_mgr.local.items(), key=itemgetter(0)):
print("{}: {}".format(k, v))
dataset_db.save()
class TestDatasetDB(unittest.TestCase):
def setUp(self):
# empty dataset persistance file
self.persist_file = tempfile.NamedTemporaryFile(mode="w+")
print("{}", file=self.persist_file, flush=True)
self.ddb = DatasetDB(self.persist_file.name)
self.ddb.set(KEY1, DATA, persist=True)
self.ddb.set(KEY2, DATA, persist=True, hdf5_options=dict(compression=COMP))
self.ddb.set(KEY3, DATA, hdf5_options=dict(shuffle=True))
self.save_ddb_to_disk()
def save_ddb_to_disk(self):
self.ddb.save()
self.persist_file.flush()
def load_ddb_from_disk(self):
return pyon.load_file(self.persist_file.name)
def test_persist_format(self):
data = pyon.load_file(self.persist_file.name)
for key in [KEY1, KEY2]:
self.assertTrue(data[key]["persist"])
self.assertEqual(data[key]["value"], DATA)
self.assertEqual(data[KEY2]["hdf5_options"]["compression"], COMP)
self.assertEqual(data[KEY1]["hdf5_options"], dict())
def test_only_persist_marked_datasets(self):
data = self.load_ddb_from_disk()
with self.assertRaises(KeyError):
data[KEY3]
def test_memory_format(self):
ds = self.ddb.get(KEY2)
self.assertTrue(ds["persist"])
self.assertEqual(ds["value"], DATA)
self.assertEqual(ds["hdf5_options"]["compression"], COMP)
ds = self.ddb.get(KEY3)
self.assertFalse(ds["persist"])
self.assertEqual(ds["value"], DATA)
self.assertTrue(ds["hdf5_options"]["shuffle"])
def test_delete(self):
self.ddb.delete(KEY1)
self.save_ddb_to_disk()
data = self.load_ddb_from_disk()
with self.assertRaises(KeyError):
data[KEY1]
self.assertTrue(data[KEY2]["persist"])
def test_update(self):
self.assertFalse(self.ddb.get(KEY3)["persist"])
mod = {
"action": "setitem",
"path": [KEY3],
"key": "persist",
"value": True,
}
self.ddb.update(mod)
self.assertTrue(self.ddb.get(KEY3)["persist"])
def test_update_hdf5_options(self):
with self.assertRaises(KeyError):
self.ddb.get(KEY1)["hdf5_options"]["shuffle"]
mod = {
"action": "setitem",
"path": [KEY1, "hdf5_options"],
"key": "shuffle",
"value": False,
}
self.ddb.update(mod)
self.assertFalse(self.ddb.get(KEY1)["hdf5_options"]["shuffle"])
def test_reset_copies_persist(self):
self.assertTrue(self.ddb.get(KEY1)["persist"])
self.ddb.set(KEY1, DATA)
self.assertTrue(self.ddb.get(KEY1)["persist"])
self.assertFalse(self.ddb.get(KEY3)["persist"])
self.ddb.set(KEY3, DATA)
self.assertFalse(self.ddb.get(KEY3)["persist"])
self.ddb.set(KEY3, DATA, persist=True)
self.assertTrue(self.ddb.get(KEY3)["persist"])
