def main(argv=None):
if argv is None:
argv = sys.argv[1:]
header = get_colored_header()
header += '''Utility to split results obtained when using N streams
into N individual results files, one per stream
'''
parser = argparse.ArgumentParser(
description=header, formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument('datafile', help='data file')
parser.add_argument('-e',
'--extension',
help='extension to consider for slicing results',
default='')
if len(argv) == 0:
parser.print_help()
sys.exit()
args = parser.parse_args(argv)
filename = os.path.abspath(args.datafile)
extension = args.extension
if extension != '':
extension = '-' + extension
params = CircusParser(filename)
if os.path.exists(params.logfile):
os.remove(params.logfile)
_ = init_logging(params.logfile)
logger = logging.getLogger(__name__)
file_out_suff = params.get('data', 'file_out_suff')
if params.get('data', 'stream_mode') in ['None', 'none']:
print_and_log(['No streams in the datafile!'], 'error', logger)
sys.exit(1)
data_file = params.get_data_file()
result = circus.shared.files.get_results(params, extension=extension)
times = []
for source in data_file._sources:
times += [[source.t_start, source.t_stop]]
sub_results = slice_result(result, times)
for count, result in enumerate(sub_results):
keys = ['spiketimes', 'amplitudes']
mydata = h5py.File(file_out_suff + '.result%s_%d.hdf5' %
(extension, count),
'w',
libver='earliest')
for key in keys:
mydata.create_group(key)
for temp in result[key].keys():
tmp_path = '%s/%s' % (key, temp)
mydata.create_dataset(tmp_path, data=result[key][temp])
mydata.close()
def main(argv=None):
if argv is None:
argv = sys.argv[1:]
gheader = Fore.GREEN + get_header()
header = gheader + Fore.RESET
parser = argparse.ArgumentParser(
description=header, formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument('datafile', help='data file')
parser.add_argument('-e',
'--extension',
help='extension to consider for slicing results',
default='')
if len(argv) == 0:
parser.print_help()
sys.exit()
args = parser.parse_args(argv)
filename = os.path.abspath(args.datafile)
extension = args.extension
params = circus.shared.utils.io.load_parameters(filename)
file_out_suff = params.get('data', 'file_out_suff')
if not params.get('data', 'multi-files'):
print_and_log(['Not a multi-file!'], 'error', params)
sys.exit(0)
to_process = circus.shared.files.get_multi_files(params)
result = circus.shared.files.get_results(params, extension=extension)
times = circus.shared.files.data_stats(params,
show=False,
export_times=True)
sub_results = slice_result(result, times)
for count, result in enumerate(sub_results):
keys = ['spiketimes', 'amplitudes']
mydata = h5py.File(file_out_suff + '.result%s_%d.hdf5' %
(extension, count),
'w',
libver='latest')
for key in keys:
mydata.create_group(key)
for temp in result[key].keys():
tmp_path = '%s/%s' % (key, temp)
mydata.create_dataset(tmp_path, data=result[key][temp])
mydata.close()
