annotate contrib/memory.py @ 41245:2a8782cc2e16

discovery: using the new basesheads()

Our ultimate goal is to switch eventually to a Rust implementation, but
this move actually seems to increase the performance in a pure Python
build.

What follows is a quick measurement done on PyPy on repos prepared with
`contrib/discovery-helper.sh 50 100`.

Before:
! wall 0.894384 comb 0.890000 user 0.890000 sys 0.000000 (best of 11)
! wall 0.971199 comb 0.970000 user 0.950000 sys 0.020000 (max of 11)
! wall 0.927993 comb 0.925455 user 0.919091 sys 0.006364 (avg of 11)
! wall 0.921619 comb 0.920000 user 0.910000 sys 0.010000 (median of 11)

After:
! wall 0.614278 comb 0.610000 user 0.610000 sys 0.000000 (best of 14)
! wall 0.789459 comb 0.790000 user 0.770000 sys 0.020000 (max of 14)
! wall 0.722765 comb 0.720000 user 0.715714 sys 0.004286 (avg of 14)
! wall 0.734448 comb 0.720000 user 0.720000 sys 0.000000 (median of 14)

Differential Revision: https://phab.mercurial-scm.org/D5583

# memory.py - track memory usage
#
# Copyright 2009 Matt Mackall <[e-mail]> and others
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.

'''helper extension to measure memory usage

Reads current and peak memory usage from ``/proc/self/status`` and
prints it to ``stderr`` on exit.
'''

from __future__ import absolute_import

def memusage(ui):
    """Report memory usage of the current process."""
    result = {'peak': 0, 'rss': 0}
    with open('/proc/self/status', 'r') as status:
        # 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])
    ui.write_err(", ".join(["%s: %.1f MiB" % (k, v / 1024.0)
                            for k, v in result.iteritems()]) + "\n")

def extsetup(ui):
    ui.atexit(memusage, ui)