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collect_results.py
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collect_results.py
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import subprocess
import os
import shutil
try:
import statistics.variance as variance
except ImportError:
from numpy import var as variance
def sizeof_fmt(num, suffix='B'):
for unit in ['','Ki','Mi','Gi','Ti','Pi','Ei','Zi']:
if abs(num) < 1024.0:
return "%3.1f%s%s" % (num, unit, suffix)
num /= 1024.0
return "%.1f%s%s" % (num, 'Yi', suffix)
def calc_dir_size(dir_name):
return sum(os.path.getsize(os.path.join(dir_name, f)) for f in os.listdir(dir_name) if os.path.isfile(os.path.join(dir_name, f)))
def get_avg(l):
if len(l) == 0:
return -1
return sum(l) / float(len(l))
times_to_run = 5
experiments = []
#MBEDDR
# for i in range(22, 50):
# experiments.append(["test_mbeddr", "--skip_pruning", ])
# experiments.append(["test_mbeddr", "--skip_pruning", "--old_match_gen"])
# experiments.append(["test_mbeddr", "--skip_parallel", "--skip_pruning"],)
# experiments.append(["test_mbeddr", "--shuffle", "--skip_pruning"],)
# experiments.append(["test_mbeddr", "--skip_pruning"],)
# experiments.append(["test_mbeddr", ])
# experiments.append(["test_mbeddr", "--skip_pruning"], )
# experiments.append(["test_mbeddr", "--slice=2", "--skip_pruning", "--skip_parallel"],)
# experiments.append(["test_mbeddr", "--slice=2", "--skip_pruning", "--skip_parallel", "--skip_pickle"],)
# experiments.append(["test_mbeddr", "--slice=2", "--skip_pruning", "--skip_parallel", "--compression=0"],)
#Experiments
# - Changing match set generation
# - FTP, UML, mbeddr
# no pruning, shuffle, parallel
#Old match set generation=================================
experiments.append(["test_atlTrans_extended", "--skip_pruning",])
experiments.append(["test_atlTrans_extended", "--skip_pruning", "--old_match_gen"])
experiments.append(["test_GM2Autosar_transformation", "--skip_pruning", ])
experiments.append(["test_GM2Autosar_transformation", "--skip_pruning", "--old_match_gen"])
experiments.append(["test_mbeddr", "--slice=2", "--skip_pruning", ])
experiments.append(["test_mbeddr", "--slice=2", "--skip_pruning", "--old_match_gen"])
experiments.append(["test_umlToKiltera", "--skip_pruning", ])
experiments.append(["test_umlToKiltera", "--skip_pruning", "--old_match_gen"])
experiments.append(["test_RSS2ATOM", "--skip_pruning", ])
experiments.append(["test_RSS2ATOM", "--skip_pruning", "--old_match_gen"])
# Parallel================================
# (F2P)
# --Off
# --Shuffle
# --Bin packing
# no pruning
experiments.append(["test_atlTrans_extended", "--skip_pruning"])
experiments.append(["test_atlTrans_extended", "--skip_parallel", "--skip_pruning"])
experiments.append(["test_atlTrans_extended", "--shuffle", "--skip_pruning"])
experiments.append(["test_mbeddr", "--slice=2", "--skip_parallel", "--skip_pruning"])
experiments.append(["test_mbeddr", "--slice=2", "--shuffle", "--skip_pruning"])
experiments.append(["test_mbeddr", "--slice=2", "--skip_pruning"],)
#
experiments.append(["test_mbeddr", "--slice=0", "--skip_parallel", "--skip_pruning"],)
experiments.append(["test_mbeddr", "--slice=0", "--shuffle", "--skip_pruning"],)
experiments.append(["test_mbeddr", "--slice=0", "--skip_pruning"],)
experiments.append(["test_mbeddr", "--slice=0", "--skip_parallel", "--skip_pruning", "--num_rules=34"],)
experiments.append(["test_mbeddr", "--slice=0", "--shuffle", "--skip_pruning", "--num_rules=34"],)
experiments.append(["test_mbeddr", "--slice=0", "--skip_pruning", "--num_rules=34"],)
experiments.append(["test_mbeddr", "--slice=2", "--skip_parallel", "--skip_pruning", "--num_rules=34"],)
experiments.append(["test_mbeddr", "--slice=2", "--shuffle", "--skip_pruning", "--num_rules=34"],)
experiments.append(["test_mbeddr", "--slice=2", "--skip_pruning", "--num_rules=34"],)
experiments.append(["test_GM2Autosar_transformation", "--skip_pruning"],)
experiments.append(["test_GM2Autosar_transformation", "--skip_parallel", "--skip_pruning"],)
experiments.append(["test_GM2Autosar_transformation", "--shuffle", "--skip_pruning"],)
experiments.append(["test_umlToKiltera", "--skip_pruning"],)
experiments.append(["test_umlToKiltera", "--skip_parallel", "--skip_pruning"],)
experiments.append(["test_umlToKiltera", "--shuffle", "--skip_pruning"],)
experiments.append(["test_RSS2ATOM", "--skip_pruning"],)
experiments.append(["test_RSS2ATOM", "--skip_parallel", "--skip_pruning"],)
experiments.append(["test_RSS2ATOM", "--shuffle", "--skip_pruning"],)
# Slicing
# --Time taken for slicing
# --Slicing results for each transformation
# (F2P, GM, UML, mbeddr, RSS2ATOM)
# ---->DO CONTRACT SELECTION<-----------
experiments.append(["test_atlTrans_extended", "--skip_pruning", "--skip_parallel"],)
for i in range(10):
experiments.append(["test_atlTrans_extended", "--skip_pruning", "--skip_parallel", "--slice={}".format(str(i))],)
experiments.append(["test_umlToKiltera", "--skip_pruning", "--skip_parallel"], )
for i in range(16):
experiments.append(["test_umlToKiltera", "--skip_pruning", "--skip_parallel", "--slice={}".format(str(i))],)
experiments.append(["test_GM2Autosar_transformation", "--skip_pruning", "--skip_parallel"], )
for i in range(9):
experiments.append(["test_GM2Autosar_transformation", "--skip_pruning", "--skip_parallel", "--slice={}".format(str(i))],)
experiments.append(["test_RSS2ATOM", "--skip_pruning", "--skip_parallel"], )
for i in range(2):
experiments.append(["test_RSS2ATOM", "--skip_pruning", "--skip_parallel", "--slice={}".format(str(i))], )
# Pruning========================================
# (F2P, GM, UML, mbeddr, RSS2ATOM)
# Do with/without parallel
experiments.append(["test_atlTrans_extended", ], )
experiments.append(["test_atlTrans_extended", "--skip_pruning"], )
experiments.append(["test_GM2Autosar_transformation", ], )
experiments.append(["test_GM2Autosar_transformation", "--skip_pruning"], )
experiments.append(["test_umlToKiltera", ], )
experiments.append(["test_umlToKiltera", "--skip_pruning"], )
experiments.append(["test_mbeddr", "--slice=2"], )
experiments.append(["test_mbeddr", "--slice=2", "--skip_pruning"], )
experiments.append(["test_mbeddr", "--slice=0"], )
experiments.append(["test_mbeddr", "--slice=0", "--skip_pruning"], )
experiments.append(["test_mbeddr", "--slice=2", "--num_rules=34"], )
experiments.append(["test_mbeddr", "--slice=2", "--num_rules=34", "--skip_pruning"], )
experiments.append(["test_mbeddr", "--slice=0", "--num_rules=34"], )
experiments.append(["test_mbeddr", "--slice=0", "--num_rules=34", "--skip_pruning"], )
experiments.append(["test_RSS2ATOM", ], )
experiments.append(["test_RSS2ATOM", "--skip_pruning"], )
# Pickling
# Do with/without parallel
# (F2P, GM, UML, mbeddr, RSS2ATOM)
experiments.append(["test_atlTrans_extended", "--skip_pruning", "--skip_parallel"],)
experiments.append(["test_atlTrans_extended", "--skip_pruning", "--skip_parallel", "--skip_pickle"],)
experiments.append(["test_atlTrans_extended", "--skip_pruning", "--skip_parallel", "--compression=0"],)
#
experiments.append(["test_GM2Autosar_transformation", "--skip_pruning", "--skip_parallel"],)
experiments.append(["test_GM2Autosar_transformation", "--skip_pruning", "--skip_parallel", "--skip_pickle"],)
experiments.append(["test_GM2Autosar_transformation", "--skip_pruning", "--skip_parallel", "--compression=0"],)
experiments.append(["test_mbeddr", "--slice=0", "--skip_pruning", "--skip_parallel"],)
experiments.append(["test_mbeddr", "--slice=0", "--skip_pruning", "--skip_parallel", "--skip_pickle"],)
experiments.append(["test_mbeddr", "--slice=0", "--skip_pruning", "--skip_parallel", "--compression=0"],)
experiments.append(["test_mbeddr", "--slice=2", "--skip_pruning", "--skip_parallel"],)
experiments.append(["test_mbeddr", "--slice=2", "--skip_pruning", "--skip_parallel", "--skip_pickle"],)
experiments.append(["test_mbeddr", "--slice=2", "--skip_pruning", "--skip_parallel", "--compression=0"],)
#
experiments.append(["test_umlToKiltera", "--skip_pruning", "--skip_parallel"],)
experiments.append(["test_umlToKiltera", "--skip_pruning", "--skip_parallel", "--skip_pickle"],)
experiments.append(["test_umlToKiltera", "--skip_pruning", "--skip_parallel", "--compression=0"],)
#
experiments.append(["test_RSS2ATOM", "--skip_pruning", "--skip_parallel"],)
experiments.append(["test_RSS2ATOM", "--skip_pruning", "--skip_parallel", "--skip_pickle"],)
experiments.append(["test_RSS2ATOM", "--skip_pruning", "--skip_parallel", "--compression=0"],)
#Per number of threads
# ["test_atlTrans_extended", "--skip_pruning", "--num_threads=1"],
# ["test_atlTrans_extended", "--skip_pruning", "--num_threads=2"],
# ["test_atlTrans_extended", "--skip_pruning", "--num_threads=3"],
# ["test_atlTrans_extended", "--skip_pruning", "--num_threads=4"],
# ["test_atlTrans_extended", "--skip_pruning", "--num_threads=5"],
# ["test_atlTrans_extended", "--skip_pruning", "--num_threads=6"],
# ["test_atlTrans_extended", "--skip_pruning", "--num_threads=7"],
# ["test_atlTrans_extended", "--skip_pruning", "--num_threads=8"],
#
# ["test_GM2Autosar_transformation", "--skip_pruning", "--num_threads=1"],
# ["test_GM2Autosar_transformation", "--skip_pruning", "--num_threads=2"],
# ["test_GM2Autosar_transformation", "--skip_pruning", "--num_threads=3"],
# ["test_GM2Autosar_transformation", "--skip_pruning", "--num_threads=4"],
# ["test_GM2Autosar_transformation", "--skip_pruning", "--num_threads=5"],
# ["test_GM2Autosar_transformation", "--skip_pruning", "--num_threads=6"],
# ["test_GM2Autosar_transformation", "--skip_pruning", "--num_threads=7"],
# ["test_GM2Autosar_transformation", "--skip_pruning", "--num_threads=8"],
#
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--num_threads=1"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--num_threads=2"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--num_threads=3"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--num_threads=4"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--num_threads=5"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--num_threads=6"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--num_threads=7"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--num_threads=8"],
#
# ["test_umlToKiltera", "--skip_pruning", "--num_threads=1"],
# ["test_umlToKiltera", "--skip_pruning", "--num_threads=2"],
# ["test_umlToKiltera", "--skip_pruning", "--num_threads=3"],
# ["test_umlToKiltera", "--skip_pruning", "--num_threads=4"],
# ["test_umlToKiltera", "--skip_pruning", "--num_threads=5"],
# ["test_umlToKiltera", "--skip_pruning", "--num_threads=6"],
# ["test_umlToKiltera", "--skip_pruning", "--num_threads=7"],
# ["test_umlToKiltera", "--skip_pruning", "--num_threads=8"],
#
# ["test_RSS2ATOM", "--skip_pruning", "--num_threads=1"],
# ["test_RSS2ATOM", "--skip_pruning", "--num_threads=2"],
# ["test_RSS2ATOM", "--skip_pruning", "--num_threads=3"],
# ["test_RSS2ATOM", "--skip_pruning", "--num_threads=4"],
# ["test_RSS2ATOM", "--skip_pruning", "--num_threads=5"],
# ["test_RSS2ATOM", "--skip_pruning", "--num_threads=6"],
# ["test_RSS2ATOM", "--skip_pruning", "--num_threads=7"],
# ["test_RSS2ATOM", "--skip_pruning", "--num_threads=8"],
# --Rounds: Number of pcs per thread
# (can be fastest of shuffle or bin packing)
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=5"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=10"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=20"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=100"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=200"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=500"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=1000"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=2000"],
#
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=5"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=10"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=20"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=100"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=200"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=500"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=1000"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=2000"],
#
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=5", "--skip_pickle"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=10", "--skip_pickle"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=20", "--skip_pickle"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=100", "--skip_pickle"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=200", "--skip_pickle"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=500", "--skip_pickle"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=1000", "--skip_pickle"],
# ["test_atlTrans_extended", "--skip_pruning", "--max_chunk_size=2000", "--skip_pickle"],
#
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=5", "--skip_pickle"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=10", "--skip_pickle"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=20", "--skip_pickle"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=100", "--skip_pickle"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=200", "--skip_pickle"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=500", "--skip_pickle"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=1000", "--skip_pickle"],
# ["test_mbeddr", "--slice=2", "--skip_pruning", "--max_chunk_size=2000", "--skip_pickle"],
results_dir = os.path.expanduser("~/Dropbox/University/PHD/results")
results_filename = os.path.join(results_dir, "000-all_results.txt")
with open(results_filename, "w") as a:
for i, experiment in enumerate(experiments):
experiment_name = experiment[0]
experiment_args = experiment[1:]
#print(i)
#print(experiment_name)
#print(experiment_args)
args_string = "".join(experiment_args)
args_string = args_string.replace("=", "").replace("-", "")
#print(args_string)
ex_filename = os.path.join(results_dir, str(i) + "-" + experiment_name + "-" + args_string + ".txt")
#print(ex_filename)
#open fresh file, and write header
with open(ex_filename, 'w') as h:
h.write("Starting experiments for: " + experiment_name + "-" + args_string)
with open(ex_filename, 'w+') as g:
for x in range(times_to_run):
print("Running " + str(i) + "-" + experiment_name +"-" + args_string + " for time " + str(x))
command = ["/usr/bin/time", "python3", experiment_name + ".py"] + experiment_args
#delete pickle and patterns dir for accurate disk usage
if os.path.exists("./pickle"):
shutil.rmtree("./pickle")
if os.path.exists("./patterns"):
shutil.rmtree("./patterns")
print("Command: " + " ".join(command))
command.append("--skip_progress_bar")
proc = subprocess.check_call(command, stdout=g, stderr=subprocess.STDOUT)
patterns_space = calc_dir_size("./patterns")
pickle_space = calc_dir_size("./pickle")
g.write("Space taken: " + str(patterns_space + pickle_space) + " bytes\n")
time_build_pcs = []
time_contract_proof = []
memory = []
num_pcs = []
pruning_time = []
slicing_time = []
dividing_time = []
space_taken = []
with open(ex_filename) as f:
for line in f:
if "Time to build the set of path conditions" in line:
t = line.split(" ")[8]
time_build_pcs.append(float(t))
elif "seconds to prove" in line:
t = line.split(" ")[1]
time_contract_proof.append(float(t))
elif "maxresident" in line:
line = line.replace("maxresident)k", "")
m = line.split(" ")[5]
memory.append(int(m)/1000)
elif "Number of path conditions:" in line:
pcs = line.split(" ")[4]
num_pcs.append(int(pcs))
elif "Time taken for: -Dividing pcs-" in line:
t = line.split(" ")[5]
dividing_time.append(float(t))
#print(line)
# elif "Time taken for: -Pruning pcs-" in line:
# t = line.split(" ")[5]
# pruning_time.append(float(t))
elif "Time taken for: -slicing-" in line:
t = line.split(" ")[4]
slicing_time.append(float(t))
#print(line)
elif "Space taken: " in line:
t = line.split(" ")[2]
space_taken.append(int(t))
#print(line)
#print(line.strip())
with open(ex_filename, "a") as f:
avg_build_time = get_avg(time_build_pcs)
avg_proof_time = get_avg(time_contract_proof)
s1 = "\nResults for '" + experiment_name +"-" + args_string +"'"
s2 = "Time build: " + str(round(avg_build_time, 2)) + " Var: " + str(variance(avg_build_time))
s3 = "Time proof: " + str(round(avg_proof_time, 2)) + " Var: " + str(variance(avg_proof_time))
s4 = "Memory: " + str(int(get_avg(memory))) + " Var: " + str(variance(memory))
s5 = "Number of path conditions: " + str(int(get_avg(num_pcs)))
s6 = "Dividing time: " + str(round(get_avg(dividing_time), 4)) + " Var: " + str(variance(dividing_time))
s7 = "Pruning time: " + str(round(get_avg(pruning_time), 2)) + " Var: " + str(variance(pruning_time))
slicing_time2 = round(get_avg(slicing_time), 4)
if slicing_time2 > -1:
s8 = "Slicing time: " + str(slicing_time2) + " Var: " + str(variance(slicing_time))
else:
s8 = None
s9 = "Space taken: " + str(get_avg(space_taken)) + " bytes"
for s in [s1, s2, s3, s4, s5, s6, s7, s8, s9]:
if s is None:
continue
print(s)
f.write(s + "\n")
a.write(s + "\n")