parse_est_times.py
c5bcbf5f131emaster

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")

R3704/scripts/parse_est_times.pyc5bcbf5f131emaster

parse_est_times.pyView Options

R3704/scripts/parse_est_times.py
c5bcbf5f131emaster

parse_est_times.py
View Options