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revlog: efficient implementation of 'descendant'...

revlog: efficient implementation of 'descendant' Iterating over descendants is costly, because there are no "parent -> children" pointers. Walking the other way around is much more efficient, especially on large repositories, where descendant walks can cost seconds. And the other hand, common ancestors code follows links in the right direction and has a compiled implementation. In real life usage, this saved up to 80s during some pull operations, where descendant test happens in extension code.

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      # 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

      # 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)

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				# 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
				# 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)