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Update profile-memory.py

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Updated with f string for enhanced readability.
This commit is contained in:
AG
2023-03-11 12:29:59 +05:30
committed by GitHub
parent 8cac47038c
commit 02e451a2b1
1 changed files with 9 additions and 9 deletions
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18
scripts/profile-memory.py
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@@ -16,10 +16,10 @@ def display_top(snapshot, key_type="lineno", limit=10):
)
top_stats = snapshot.statistics(key_type)
print("Top %s lines" % limit)
print(f"Top {limit} lines")
for index, stat in enumerate(top_stats[:limit], 1):
frame = stat.traceback[0]
print("#%s: %s:%s: %.1f KiB" % (index, frame.filename, frame.lineno, stat.size / 1024))
print(f"#{index}: {frame.filename}:{frame.lineno}: {stat.size / 1024:.1f} KiB")
line = linecache.getline(frame.filename, frame.lineno).strip()
if line:
print(" %s" % line)
@@ -27,9 +27,9 @@ def display_top(snapshot, key_type="lineno", limit=10):
other = top_stats[limit:]
if other:
size = sum(stat.size for stat in other)
print("%s other: %.1f KiB" % (len(other), size / 1024))
print(f"{len(other)} other: {size / 1024:.1f} KiB")
total = sum(stat.size for stat in top_stats)
print("Total allocated size: %.1f KiB" % (total / 1024))
print(f"Total allocated size: {total / 1024:.1f} KiB")
def main():
@@ -45,11 +45,11 @@ def main():
import capa.main
count = int(os.environ.get("CAPA_PROFILE_COUNT", 1))
print("total iterations planned: %d (set via env var CAPA_PROFILE_COUNT)." % (count))
print(f"total iterations planned: {count} (set via env var CAPA_PROFILE_COUNT).")
print()
for i in range(count):
print("iteration %d/%d..." % (i + 1, count))
print(f"iteration {i + 1}/{count}...")
with contextlib.redirect_stdout(io.StringIO()):
with contextlib.redirect_stderr(io.StringIO()):
t0 = time.time()
@@ -59,9 +59,9 @@ def main():
gc.collect()
process = psutil.Process(os.getpid())
print(" duration: %0.02fs" % (t1 - t0))
print(" rss: %.1f MiB" % (process.memory_info().rss / 1024 / 1024))
print(" vms: %.1f MiB" % (process.memory_info().vms / 1024 / 1024))
print(f" duration: {t1 - t0:.02f}s")
print(f" rss: {process.memory_info().rss / 1024 / 1024:.1f} MiB")
print(f" vms: {process.memory_info().vms / 1024 / 1024:.1f} MiB")
print("done.")
gc.collect()