def main():
args = parser.parse_args()
dl1_filename = os.path.abspath(args.input_file)
config = get_standard_config()
if args.config_file is not None:
try:
config = read_configuration_file(os.path.abspath(args.config_file))
except ("Custom configuration could not be loaded !!!"):
pass
dl1_params = pd.read_hdf(dl1_filename, key=dl1_params_lstcam_key)
subarray_info = SubarrayDescription.from_hdf(dl1_filename)
tel_id = config["allowed_tels"][0] if "allowed_tels" in config else 1
focal_length = subarray_info.tel[tel_id].optics.equivalent_focal_length
src_dep_df = pd.concat(get_source_dependent_parameters(
dl1_params, config, focal_length=focal_length),
axis=1)
metadata = global_metadata()
write_dataframe(src_dep_df,
dl1_filename,
dl1_params_src_dep_lstcam_key,
config=config,
meta=metadata)
def test_check_and_apply_volume_reduction():
source = event_source(get_dataset_path('gamma_test.simtel.gz'))
ev = next(iter(source))
cal = CameraCalibrator()
config = get_standard_config()
config['volume_reducer']['algorithm'] = 'zero_suppression_tailcut_dilation'
cal(ev)
check_and_apply_volume_reduction(ev, config)
for tel_id in ev.r0.tels_with_data:
assert 0 in ev.dl1.tel[tel_id].image
assert 0 in ev.dl1.tel[tel_id].pulse_time
assert 0 in ev.dl0.tel[tel_id].waveform
def main():
dl1_filename = os.path.abspath(args.input_file)
config = get_standard_config()
if args.config_file is not None:
try:
config = read_configuration_file(os.path.abspath(args.config_file))
except ("Custom configuration could not be loaded !!!"):
pass
dl1_params = pd.read_hdf(dl1_filename, key=dl1_params_lstcam_key)
src_dep_df = get_source_dependent_parameters(dl1_params, config)
write_dataframe(src_dep_df, dl1_filename, dl1_params_src_dep_lstcam_key)
def test_get_volume_reduction_method():
config = get_standard_config()
config['volume_reducer']['algorithm'] = 'zero_suppression_tailcut_dilation'
algo = get_volume_reduction_method(config)
algo = globals()[algo]
assert algo is zero_suppression_tailcut_dilation