#!/usr/bin/env python # Copyright (c) 2019, Anthony Latorre # # This program is free software: you can redistribute it and/or modify it # under the terms of the GNU General Public License as published by the Free # Software Foundation, either version 3 of the License, or (at your option) # any later version. # # This program is distributed in the hope that it will be useful, but WITHOUT # ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or # FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for # more details. # # You should have received a copy of the GNU General Public License along with # this program. If not, see . from __future__ import print_function, division import yaml try: from yaml import CLoader as Loader except ImportError: from yaml.loader import SafeLoader as Loader if __name__ == '__main__': import argparse import matplotlib.pyplot as plt import numpy as np parser = argparse.ArgumentParser("concatenate fit results from grid jobs into a single file") parser.add_argument("filenames", nargs='+', help="input files") args = parser.parse_args() cat = [] for filename in args.filenames: with open(filename) as f: data = yaml.load(f.read(),Loader=Loader) if data is None: continue for event in data['data']: if event['ev'] is not None: # if the ev branch is filled in, it means the event was fit cat.append(event) cat = sorted(cat,key=lambda event: event['ev'][0]['gtid']) print(yaml.dump({'data':cat},default_flow_style=False))