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import re
import matplotlib.pyplot as plt
import numpy as np
ptr = "(?:0x)?(?P<ptr>(?:\w+)|(?:\(nil\)))"
size = "(?P<size>\d+)"
malloc_re = re.compile("^m {} {}$".format(size, ptr))
free_re = re.compile("^f {}$".format(ptr))
calloc_re = re.compile("^c (?P<nmemb>\d+) {} {}$".format(size, ptr))
realloc_re = re.compile("^r {} {} {}$".format(ptr, size, ptr.replace("ptr", "nptr")))
memalign_re = re.compile("^mm (?P<alignment>\d+) {} {}$".format(size, ptr))
def record_allocation(hist, total_size, top5, top5_sizes, allocations, ptr, size, optr=None, add=True):
size = int(size)
if add:
if optr and optr in allocations:
size -= allocations[optr]
del(allocations[optr])
allocations[ptr] = size
hist[size] = hist.get(size, 0) + 1
if type(total_size[-1]) != int or type(size) != int:
print("invalid type", type(total_size[-1]), type(size))
return
total_size.append(total_size[-1] + size)
for s in top5:
if s == size:
top5_sizes[s].append(top5_sizes[s][-1] + s)
else:
top5_sizes[s].append(top5_sizes[s][-1])
elif ptr != "(nil)" and ptr in allocations:
size = allocations[ptr]
total_size.append(total_size[-1] - size)
for s in top5:
if s == size:
top5_sizes[s].append(top5_sizes[s][-1] - s)
else:
top5_sizes[s].append(top5_sizes[s][-1])
del(allocations[ptr])
def parse(path="chattymalloc.data", track_top5=[]):
tmalloc, tcalloc, trealloc, tfree, tmemalign= 0, 0, 0, 0, 0
allocations = {}
requested_size = [0]
requested_size_top5 = {s: [0] for s in track_top5}
hist = {}
ln = 0
with open(path, "r") as f:
for i, l in enumerate(f.readlines()):
ln += 1
res = malloc_re.match(l)
if res != None:
res = res.groupdict()
record_allocation(hist, requested_size, track_top5, requested_size_top5,
allocations, res["ptr"], res["size"])
tmalloc += 1
continue
res = free_re.match(l)
if res != None:
res = res.groupdict()
record_allocation(hist, requested_size, track_top5, requested_size_top5,
allocations, res["ptr"], 0, add=False)
tfree +=1
continue
res = calloc_re.match(l)
if res != None:
res = res.groupdict()
size = int(res["nmemb"]) * int(res["size"])
record_allocation(hist, requested_size, track_top5, requested_size_top5,
allocations, res["ptr"], size)
tcalloc += 1
continue
res = realloc_re.match(l)
if res != None:
res = res.groupdict()
record_allocation(hist, requested_size, track_top5, requested_size_top5,
allocations, res["nptr"], res["size"], optr=res["ptr"])
trealloc += 1
continue
res = memalign_re.match(l)
if res != None:
res = res.groupdict()
record_allocation(hist, requested_size, track_top5, requested_size_top5,
allocations, res["ptr"], res["size"])
tmemalign += 1
continue
print("\ninvalid line at", ln, ":", l)
calls = {"malloc": tmalloc, "free": tfree, "calloc": tcalloc, "realloc": trealloc, "memalign": tmemalign}
return hist, calls, requested_size, requested_size_top5
def hist(path="chattymalloc.data"):
return parse(path=path)[0]
def plot_profile(total_size, total_top5, path):
x_vals = list(range(0, len(total_size)))
plt.plot(x_vals, total_size, marker='', linestyle='-', label="Total requested")
for top5 in total_top5:
plt.plot(x_vals, total_top5[top5], label=top5)
plt.legend()
plt.xlabel("Allocations")
plt.ylabel("mem in kb")
plt.title("Memusage profile")
plt.savefig(path)
plt.clf()
def plot_hist_ascii(hist, calls, path):
bins = {}
bin = 1
for size in sorted(hist):
if int(size) > bin * 16:
bin += 1
bins[bin] = bins.get(bin, 0) + hist[size]
total = sum(calls.values())
with open(path, "w") as f:
print("Total function calls:", total, file=f)
print("malloc:", calls["malloc"], file=f)
print("calloc:", calls["calloc"], file=f)
print("realloc:", calls["realloc"], file=f)
print("free:", calls["free"], file=f)
print("memalign:", calls["memalign"], file=f)
print("Histogram of sizes:", file=f)
for b in sorted(bins):
perc = bins[b]/total*100
hist_line = "{} - {}\t{}\t{:.2}% {}"
print(hist_line.format((b-1)*16, b*16-1, bins[b], perc, '*'*int(perc/2)), file=f)
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