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perf: copyedit a few documentation strings...
perf: copyedit a few documentation strings Differential Revision: https://phab.mercurial-scm.org/D6170

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profiling.py
252 lines | 8.0 KiB | text/x-python | PythonLexer
Gregory Szorc
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r29781 # profiling.py - profiling functions
#
# Copyright 2016 Gregory Szorc <gregory.szorc@gmail.com>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
from __future__ import absolute_import, print_function
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r29783 import contextlib
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r29781
from .i18n import _
from . import (
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r30820 encoding,
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r29781 error,
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r32417 extensions,
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r36701 pycompat,
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r29781 util,
)
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r32417 def _loadprofiler(ui, profiler):
"""load profiler extension. return profile method, or None on failure"""
extname = profiler
extensions.loadall(ui, whitelist=[extname])
try:
mod = extensions.find(extname)
except KeyError:
return None
else:
return getattr(mod, 'profile', None)
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r29783 @contextlib.contextmanager
def lsprofile(ui, fp):
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r33499 format = ui.config('profiling', 'format')
field = ui.config('profiling', 'sort')
limit = ui.configint('profiling', 'limit')
climit = ui.configint('profiling', 'nested')
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if format not in ['text', 'kcachegrind']:
ui.warn(_("unrecognized profiling format '%s'"
" - Ignored\n") % format)
format = 'text'
try:
from . import lsprof
except ImportError:
raise error.Abort(_(
'lsprof not available - install from '
'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/'))
p = lsprof.Profiler()
p.enable(subcalls=True)
try:
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r29783 yield
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r29781 finally:
p.disable()
if format == 'kcachegrind':
from . import lsprofcalltree
calltree = lsprofcalltree.KCacheGrind(p)
calltree.output(fp)
else:
# format == 'text'
stats = lsprof.Stats(p.getstats())
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r40228 stats.sort(pycompat.sysstr(field))
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r29781 stats.pprint(limit=limit, file=fp, climit=climit)
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r29783 @contextlib.contextmanager
def flameprofile(ui, fp):
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r29781 try:
from flamegraph import flamegraph
except ImportError:
raise error.Abort(_(
'flamegraph not available - install from '
'https://github.com/evanhempel/python-flamegraph'))
# developer config: profiling.freq
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r33499 freq = ui.configint('profiling', 'freq')
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r29781 filter_ = None
collapse_recursion = True
thread = flamegraph.ProfileThread(fp, 1.0 / freq,
filter_, collapse_recursion)
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r30975 start_time = util.timer()
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r29781 try:
thread.start()
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r29783 yield
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r29781 finally:
thread.stop()
thread.join()
print('Collected %d stack frames (%d unique) in %2.2f seconds.' % (
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r30975 util.timer() - start_time, thread.num_frames(),
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r29781 thread.num_frames(unique=True)))
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r29783 @contextlib.contextmanager
def statprofile(ui, fp):
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r30316 from . import statprof
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r33499 freq = ui.configint('profiling', 'freq')
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r29781 if freq > 0:
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r29785 # Cannot reset when profiler is already active. So silently no-op.
if statprof.state.profile_level == 0:
statprof.reset(freq)
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r29781 else:
ui.warn(_("invalid sampling frequency '%s' - ignoring\n") % freq)
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r40469 track = ui.config('profiling', 'time-track',
pycompat.iswindows and 'cpu' or 'real')
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r38279 statprof.start(mechanism='thread', track=track)
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r30316
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r29781 try:
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r29783 yield
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r29781 finally:
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r30316 data = statprof.stop()
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r33499 profformat = ui.config('profiling', 'statformat')
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formats = {
'byline': statprof.DisplayFormats.ByLine,
'bymethod': statprof.DisplayFormats.ByMethod,
'hotpath': statprof.DisplayFormats.Hotpath,
'json': statprof.DisplayFormats.Json,
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r30930 'chrome': statprof.DisplayFormats.Chrome,
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r30316 }
if profformat in formats:
displayformat = formats[profformat]
else:
ui.warn(_('unknown profiler output format: %s\n') % profformat)
displayformat = statprof.DisplayFormats.Hotpath
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r30930 kwargs = {}
def fraction(s):
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r32978 if isinstance(s, (float, int)):
return float(s)
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r30930 if s.endswith('%'):
v = float(s[:-1]) / 100
else:
v = float(s)
if 0 <= v <= 1:
return v
raise ValueError(s)
if profformat == 'chrome':
showmin = ui.configwith(fraction, 'profiling', 'showmin', 0.005)
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r34411 showmax = ui.configwith(fraction, 'profiling', 'showmax')
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r30930 kwargs.update(minthreshold=showmin, maxthreshold=showmax)
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r32851 elif profformat == 'hotpath':
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r33192 # inconsistent config: profiling.showmin
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r32851 limit = ui.configwith(fraction, 'profiling', 'showmin', 0.05)
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r36418 kwargs[r'limit'] = limit
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r30930
statprof.display(fp, data=data, format=displayformat, **kwargs)
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r32783 class profile(object):
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r29783 """Start profiling.
Profiling is active when the context manager is active. When the context
manager exits, profiling results will be written to the configured output.
"""
profile: introduce a knob to control if the context is actually profiling...
r32785 def __init__(self, ui, enabled=True):
profile: upgrade the "profile" context manager to a full class...
r32783 self._ui = ui
self._output = None
self._fp = None
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r32805 self._fpdoclose = True
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r32783 self._profiler = None
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r32785 self._enabled = enabled
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r32784 self._entered = False
self._started = False
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r32783 def __enter__(self):
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r32784 self._entered = True
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r32785 if self._enabled:
self.start()
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r32786 return self
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r32784
def start(self):
"""Start profiling.
The profiling will stop at the context exit.
If the profiler was already started, this has no effect."""
if not self._entered:
raise error.ProgrammingError()
if self._started:
return
self._started = True
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r32783 profiler = encoding.environ.get('HGPROF')
proffn = None
if profiler is None:
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r34413 profiler = self._ui.config('profiling', 'type')
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r32783 if profiler not in ('ls', 'stat', 'flame'):
# try load profiler from extension with the same name
proffn = _loadprofiler(self._ui, profiler)
if proffn is None:
self._ui.warn(_("unrecognized profiler '%s' - ignored\n")
% profiler)
profiler = 'stat'
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r32783 self._output = self._ui.config('profiling', 'output')
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r32808 try:
profile: indent part of '__enter__'...
r32807 if self._output == 'blackbox':
self._fp = util.stringio()
elif self._output:
path = self._ui.expandpath(self._output)
self._fp = open(path, 'wb')
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r36701 elif pycompat.iswindows:
# parse escape sequence by win32print()
class uifp(object):
def __init__(self, ui):
self._ui = ui
def write(self, data):
self._ui.write_err(data)
def flush(self):
self._ui.flush()
self._fpdoclose = False
self._fp = uifp(self._ui)
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r32807 else:
self._fpdoclose = False
self._fp = self._ui.ferr
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r32783
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r32807 if proffn is not None:
pass
elif profiler == 'ls':
proffn = lsprofile
elif profiler == 'flame':
proffn = flameprofile
else:
proffn = statprofile
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r32807 self._profiler = proffn(self._ui, self._fp)
self._profiler.__enter__()
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r32808 except: # re-raises
self._closefp()
raise
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r32783 def __exit__(self, exception_type, exception_value, traceback):
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r32810 propagate = None
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r32809 if self._profiler is not None:
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r32810 propagate = self._profiler.__exit__(exception_type, exception_value,
traceback)
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r32809 if self._output == 'blackbox':
val = 'Profile:\n%s' % self._fp.getvalue()
# ui.log treats the input as a format string,
# so we need to escape any % signs.
val = val.replace('%', '%%')
self._ui.log('profile', val)
profile: remove now useless indent...
r32806 self._closefp()
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r32810 return propagate
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r32804
def _closefp(self):
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r32805 if self._fpdoclose and self._fp is not None:
self._fp.close()