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#!/usr/bin/env python
# Copyright (c) 2019, Anthony Latorre <tlatorre at uchicago>
#
# 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 <https://www.gnu.org/licenses/>.
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))
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