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#!/usr/bin/env python3
# Copyright 2018-2020 Florian Fischer <florian.fl.fischer@fau.de>
#
# This file is part of allocbench.
#
# allocbench 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.
#
# allocbench 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 allocbench. If not, see <http://www.gnu.org/licenses/>.
"""Plot an interactive histogram from malt or chattymalloc output file"""
import argparse
import importlib
import inspect
import json
import os
import sys
import matplotlib.pyplot as plt
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0, parentdir)
def main():
parser = argparse.ArgumentParser(description="Plot histograms using a malt or chattymalloc output file")
parser.add_argument("input_file", help="path to malt or chattymalloc output file", type=str)
parser.add_argument("-e", "--export", help="export to csv", action="store_true")
parser.add_argument("-n", "--no-ascii", help="don't output a ascii histogram", action="store_true")
parser.add_argument("-i", "--interactive", help="open interactive matplotlib histogram plots",
action="store_true")
args = parser.parse_args()
fpath, fext = os.path.splitext(args.input_file)
fname = os.path.basename(fpath)
# chattymalloc
if fname.startswith("chatty") and fext == ".txt":
try:
chattyparser = importlib.import_module("chattyparser")
except ModuleNotFoundError as err:
print("Can't import chattyparser")
sys.exit(1)
hist, calls, _ = chattyparser.parse(args.input_file, coll_size=False)
# malt
else:
with open(args.input_file, "r") as json_file:
malt_res = json.load(json_file)
hist = malt_res["memStats"]["sizeMap"]
calls = {}
for thread in malt_res["threads"]:
for func, data in thread["stats"].items():
calls[func] = calls.get(func, 0) + data["count"]
if args.export:
with open(f"{fpath}.csv", "w") as csv_file:
print("Size", "Amount", file=csv_file)
for size, amount in hist.items():
print(size, amount, file=csv_file)
if not args.no_ascii:
chattyparser.plot_hist_ascii(f"{fpath}.hist.txt", hist, calls)
if args.interactive:
sizes = []
sizes_smaller_4K = []
sizes_smaller_32K = []
sizes_bigger_32K = []
for size, amount in hist.items():
size = int(size)
sizes.append(size * amount)
if size < 4096:
sizes_smaller_4K.append(size * amount)
if size < 32000:
sizes_smaller_32K.append(size * amount)
else:
sizes_bigger_32K.append(size * amount)
plt.figure(0)
plt.hist(sizes_smaller_4K, 200)
plt.title("Sizes smaller than 4K")
plt.figure(1)
plt.hist(sizes_smaller_32K, 200)
plt.title("Sizes smaller than 32K")
plt.figure(2)
plt.hist(sizes_bigger_32K, 200)
plt.title("Sizes bigger than 32K")
plt.figure(3)
plt.hist(sizes, 200)
plt.title("All sizes")
plt.show()
if __name__ == "__main__":
main()
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