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import re
import matplotlib.pyplot as plt
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("^ma (?P<alignment>\d+) {} {}$".format(size, ptr))
def record_allocation(hist, total_size, allocations, ptr, size, coll_size,
req_size, nohist, optr=None, add=True):
size = int(size)
if add:
if optr and optr in allocations:
size -= allocations[optr]
del(allocations[optr])
allocations[ptr] = size
if not nohist:
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
if coll_size:
if not req_size or size == req_size:
total_size.append(total_size[-1] + size)
elif req_size:
total_size.append(total_size[-1])
elif ptr != "(nil)" and ptr in allocations:
size = allocations[ptr]
if coll_size:
if not req_size or size == req_size:
total_size.append(total_size[-1] - size)
elif req_size:
total_size.append(total_size[-1])
del(allocations[ptr])
elif coll_size:
total_size.append(total_size[-1])
def parse(path="chattymalloc.data", coll_size=True, req_size=None, nohist=False):
tmalloc, tcalloc, trealloc, tfree, tmemalign = 0, 0, 0, 0, 0
allocations = {}
requested_size = [0]
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 is not None:
res = res.groupdict()
record_allocation(hist, requested_size, allocations, res["ptr"],
res["size"], coll_size, req_size, nohist)
tmalloc += 1
continue
res = free_re.match(l)
if res is not None:
res = res.groupdict()
record_allocation(hist, requested_size, allocations, res["ptr"],
0, coll_size, req_size, nohist, add=False)
tfree += 1
continue
res = calloc_re.match(l)
if res is not None:
res = res.groupdict()
size = int(res["nmemb"]) * int(res["size"])
record_allocation(hist, requested_size, allocations, res["ptr"],
size, coll_size, req_size, nohist)
tcalloc += 1
continue
res = realloc_re.match(l)
if res is not None:
res = res.groupdict()
record_allocation(hist, requested_size, allocations, res["nptr"],
res["size"], coll_size, req_size, nohist,
optr=res["ptr"])
trealloc += 1
continue
res = memalign_re.match(l)
if res is not None:
res = res.groupdict()
record_allocation(hist, requested_size, allocations, res["ptr"],
res["size"], coll_size, req_size, nohist)
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
def plot(path):
hist, calls, _ = parse(req_size=None)
plot_hist_ascii(path+".hist", hist, calls)
top5 = [t[1] for t in sorted([(n, s) for s, n in hist.items()])[-5:]]
del(hist)
del(calls)
plot_profile(path+".profile.png", top5)
def plot_profile(path, top5):
_, calls, total_size = parse(nohist=True)
x_vals = range(0, sum(calls.values()) + 1)
plt.plot(x_vals, total_size, marker='',
linestyle='-', label="Total requested")
for s in top5:
_, calls, total_size = parse(nohist=True, req_size=s)
plt.plot(x_vals, total_size, label=s)
plt.legend()
plt.xlabel("Allocations")
plt.ylabel("mem in kb")
plt.title("Memusage profile")
plt.savefig(path)
plt.clf()
def plot_hist_ascii(path, hist, calls):
bins = {}
for size in sorted(hist):
bin = int(size / 16)
bins[bin] = bins.get(bin, 0) + hist[size]
total = sum(calls.values()) - calls["free"]
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(file=f)
print("< 1024", sum([n for s, n in hist.items() if s < 1024]), file=f)
print("< 4096", sum([n for s, n in hist.items() if s < 4096]), file=f)
print(file=f)
print("Histogram of sizes:", file=f)
sbins = sorted(bins)
binmaxlength = str(len(str(sbins[-1])) + 1)
amountmaxlength = str(len(str(sorted(bins.values())[-1])))
for b in sbins:
perc = bins[b]/total*100
binsize = "{:<" + binmaxlength + "} - {:>" + binmaxlength + "}"
print(binsize.format((b)*16, (b+1)*16-1), end=" ", file=f)
amount = "{:<" + amountmaxlength + "} {:.2f}% {}"
print(amount.format(bins[b], perc, '*'*int(perc/2)), file=f)
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