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parse_est_times.py
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Tue, Feb 25, 13:03

parse_est_times.py
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#!/usr/bin/env python
import sys
import os
from contextlib import nested
filename = sys.argv[1]
if len(sys.argv) > 1:
outfilebase = sys.argv[2]
else:
outfilebase = filename.rsplit(".")[0]
done_token = "WAIT_DONE"
fin_token = "FIN_TIME: "
pred_token = "PREDICTIONS: "
pred_end_token = "GOT_MEM:"
with open(filename) as f:
lines = f.readlines()
# Output files for the decission correctness and drift files
dcr_file = outfilebase + ".dcr"
dpcr_file = outfilebase + ".dpcr"
ddr_file = outfilebase + ".ddr"
# Output files for change counts of time and memory predictions
cgt_file = outfilebase + ".cgt"
cgm_file = outfilebase + ".cgm"
# Output file for memory change values
cgmd_file = outfilebase + ".cgmd"
with nested(open(dcr_file, "w"), open(dpcr_file, "w"), open(ddr_file, "w"), open(cgt_file, "w"), open(cgm_file, "w"), open(cgmd_file, "w")) as (cf, cpf, df, ctf, cmf, cmdf):
for line in lines:
idx = line.find(done_token)
if idx == -1:
continue
# Harvest the end time
idx = line.find(fin_token)
fin_time = int(line[idx + len(fin_token):].split(" ")[0])
# Iterate through the predictions
idx = line.find(pred_token)
end_idx = line.find(pred_end_token)
predictions = []
for pred in line[idx + len(pred_token):end_idx].split("[")[1:]:
predictions.append(pred.split("]")[0])
prev_est = 0
prev_emem = 0
est_changes = 0
emem_changes = 0
for p in predictions:
if p.find(",") == -1:
predictions.remove(p)
continue
crt = int(p.split(",")[0])
est = int(p.split(",")[1])
emem = int(p.split(",")[2])
# Corectness: difference between total time and estimation
cf.write(str(fin_time - est) + "\n")
cpf.write(str(fin_time - crt - est) + "\n")
# Drift: difference between previous time estimation adjusted
# with elapsed time
if not prev_est == 0:
df.write(str(est - (prev_est + (crt - prev_crt))) + "\n")
# Count the number of changes in the predictions, both time-wise and
# memory-wise
if not crt == 0:
if not est == prev_est:
est_changes += 1
if not emem == prev_emem:
emem_changes += 1
cmdf.write(str(emem - prev_emem) + "\n")
prev_crt = crt
prev_est = est
prev_emem = emem
ctf.write(str(est_changes) + "\n")
cmf.write(str(emem_changes) + "\n")

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