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