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util: introduce timer()...
util: introduce timer() As documented for timeit.default_timer, there are better timers available for performance measures on some platforms. These timers don't have a set epoch, and thus are only useful for interval measurements, but have higher resolution, and thus get you a better measurement overall. Use the same selection logic as Python's timeit.default_timer. This is a platform clock on Python 2 and early Python 3, and time.perf_counter on Python 3.3 and later (where time.perf_counter is introduced as the best timer to use).

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memory.py
32 lines | 1.0 KiB | text/x-python | PythonLexer
Martin Geisler
contrib: helper extension to track memory usage
r10017 # memory.py - track memory usage
#
# Copyright 2009 Matt Mackall <mpm@selenic.com> and others
#
# This software may be used and distributed according to the terms of the
Matt Mackall
Merge with stable
r10264 # GNU General Public License version 2 or any later version.
Martin Geisler
contrib: helper extension to track memory usage
r10017
'''helper extension to measure memory usage
Reads current and peak memory usage from ``/proc/self/status`` and
prints it to ``stderr`` on exit.
'''
Pulkit Goyal
contrib: make memory.py use absolute_import
r28510 from __future__ import absolute_import
Martin Geisler
contrib: helper extension to track memory usage
r10017 import atexit
def memusage(ui):
"""Report memory usage of the current process."""
result = {'peak': 0, 'rss': 0}
Bryan O'Sullivan
with: use context manager for file I/O in memusage
r27795 with open('/proc/self/status', 'r') as status:
Martin Geisler
contrib: helper extension to track memory usage
r10017 # This will only work on systems with a /proc file system
# (like Linux).
for line in status:
parts = line.split()
key = parts[0][2:-1].lower()
if key in result:
result[key] = int(parts[1])
Augie Fackler
memory: avoid shadowing variables inside a list comprehension
r30386 ui.write_err(", ".join(["%s: %.1f MiB" % (k, v / 1024.0)
for k, v in result.iteritems()]) + "\n")
Martin Geisler
contrib: helper extension to track memory usage
r10017
def extsetup(ui):
atexit.register(memusage, ui)