view mercurial/lsprofcalltree.py @ 32205:b4e1e30528c7 stable

graft: fix graft across merges of duplicates of grafted changes

Graft used findmissingrevs to find the candidates for graft duplicates in the
destination. That function operates with the constraint:

  1. N is an ancestor of some node in 'heads'
  2. N is not an ancestor of any node in 'common'

For our purpose, we do however have to work correctly in cases where the graft
set has multiple roots or where merges between graft ranges are skipped. The
only changesets we can be sure doesn't have ancestors that are grafts of any
changeset in the graftset, are the ones that are common ancestors of *all*
changesets in the graftset. We thus need:

  2. N is not an ancestor of all nodes in 'common'

This change will graft more correctly, but it will also in some cases make
graft slower by making it search through a bigger and unnecessary large sets of
changes to find duplicates. In the general case of grafting individual or
linear sets, we do the same amount of work as before.

"""
lsprofcalltree.py - lsprof output which is readable by kcachegrind

Authors:
    * David Allouche <david <at> allouche.net>
    * Jp Calderone & Itamar Shtull-Trauring
    * Johan Dahlin

This software may be used and distributed according to the terms
of the GNU General Public License, incorporated herein by reference.
"""

from __future__ import absolute_import, print_function

def label(code):
    if isinstance(code, str):
        return '~' + code    # built-in functions ('~' sorts at the end)
    else:
        return '%s %s:%d' % (code.co_name,
                             code.co_filename,
                             code.co_firstlineno)

class KCacheGrind(object):
    def __init__(self, profiler):
        self.data = profiler.getstats()
        self.out_file = None

    def output(self, out_file):
        self.out_file = out_file
        print('events: Ticks', file=out_file)
        self._print_summary()
        for entry in self.data:
            self._entry(entry)

    def _print_summary(self):
        max_cost = 0
        for entry in self.data:
            totaltime = int(entry.totaltime * 1000)
            max_cost = max(max_cost, totaltime)
        print('summary: %d' % max_cost, file=self.out_file)

    def _entry(self, entry):
        out_file = self.out_file

        code = entry.code
        if isinstance(code, str):
            print('fi=~', file=out_file)
        else:
            print('fi=%s' % code.co_filename, file=out_file)
        print('fn=%s' % label(code), file=out_file)

        inlinetime = int(entry.inlinetime * 1000)
        if isinstance(code, str):
            print('0 ', inlinetime, file=out_file)
        else:
            print('%d %d' % (code.co_firstlineno, inlinetime), file=out_file)

        # recursive calls are counted in entry.calls
        if entry.calls:
            calls = entry.calls
        else:
            calls = []

        if isinstance(code, str):
            lineno = 0
        else:
            lineno = code.co_firstlineno

        for subentry in calls:
            self._subentry(lineno, subentry)
        print(file=out_file)

    def _subentry(self, lineno, subentry):
        out_file = self.out_file
        code = subentry.code
        print('cfn=%s' % label(code), file=out_file)
        if isinstance(code, str):
            print('cfi=~', file=out_file)
            print('calls=%d 0' % subentry.callcount, file=out_file)
        else:
            print('cfi=%s' % code.co_filename, file=out_file)
            print('calls=%d %d' % (
                subentry.callcount, code.co_firstlineno), file=out_file)

        totaltime = int(subentry.totaltime * 1000)
        print('%d %d' % (lineno, totaltime), file=out_file)