sajaniemi_variable_dataset_large / code /validation /Python /0036349_fidelity-summary.py
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#!/usr/bin/env python
import sys, os, re
from basename import basename
if len(sys.argv) not in [2,3]:
print("usage: {} fidelity_data_file [fidelity_cutoff]".format(sys.argv[0]))
exit(1)
fname = sys.argv[1]
if len(sys.argv) == 3:
fidelity_cutoff = float(sys.argv[2])
else:
fidelity_cutoff = 0.5
if not os.path.isfile(fname):
print("invalid file: {}".format(fname))
exit(1)
out_file = "{}/fidelities-{}".format(os.path.dirname(fname),os.path.basename(fname))
split_name = re.split("-|\.",fname)
samples = int(10**float(split_name[split_name.index("ls")+1]))
results = []
collect = False
with open(fname,'r') as f:
for line in f:
if not collect:
if "--seed" in line:
seed = int(line.split()[line.split().index("--seed")+1])
elif " fidelity" in line:
description = line.replace("\n"," seed")
collect = True
else:
if line == "\n":
collect = False
continue
results += [ "{} {}".format(line.replace("\n",""),seed) ]
if len(results) == 0:
print("no simulation data in file: {}".format(fname))
exit(1)
fidelity_column = description.split().index("fidelity")
cutoff_results = [ result for result in results
if float(result.split()[fidelity_column]) > fidelity_cutoff ]
cutoff_results.sort(key = lambda r: -float(r.split()[fidelity_column]))
with open(out_file,"w") as f:
f.write("# samples: {}\n".format(samples))
f.write("# total results: {}\n".format(len(results)))
f.write("# {}\n".format(description))
for result in cutoff_results:
f.write(result+"\n")