author | Matt Harbison <matt_harbison@yahoo.com> |
Wed, 12 Sep 2018 23:10:59 -0400 | |
changeset 39593 | c8514f858788 |
parent 38260 | 15a1e37f80bd |
child 40192 | b8f6a99ad89b |
permissions | -rw-r--r-- |
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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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|
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from __future__ import absolute_import, print_function |
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|
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import contextlib |
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|
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from .i18n import _ |
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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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|
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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('profiling', 'format') |
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field = ui.config('profiling', 'sort') |
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limit = ui.configint('profiling', 'limit') |
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climit = ui.configint('profiling', 'nested') |
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if format not in ['text', 'kcachegrind']: |
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ui.warn(_("unrecognized profiling format '%s'" |
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" - Ignored\n") % format) |
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format = 'text' |
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|
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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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'lsprof not available - install from ' |
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'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/')) |
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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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|
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if format == '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(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 |
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except ImportError: |
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raise error.Abort(_( |
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'flamegraph not available - install from ' |
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'https://github.com/evanhempel/python-flamegraph')) |
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# developer config: profiling.freq |
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freq = ui.configint('profiling', 'freq') |
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filter_ = None |
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collapse_recursion = True |
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thread = flamegraph.ProfileThread(fp, 1.0 / freq, |
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filter_, collapse_recursion) |
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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('Collected %d stack frames (%d unique) in %2.2f seconds.' % ( |
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util.timer() - start_time, thread.num_frames(), |
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thread.num_frames(unique=True))) |
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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('profiling', '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(_("invalid sampling frequency '%s' - ignoring\n") % freq) |
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|
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track = ui.config('profiling', 'time-track') |
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statprof.start(mechanism='thread', track=track) |
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|
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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('profiling', 'statformat') |
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|
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114 |
formats = { |
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'byline': statprof.DisplayFormats.ByLine, |
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'bymethod': statprof.DisplayFormats.ByMethod, |
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'hotpath': statprof.DisplayFormats.Hotpath, |
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'json': statprof.DisplayFormats.Json, |
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'chrome': statprof.DisplayFormats.Chrome, |
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120 |
} |
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121 |
|
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122 |
if profformat in formats: |
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displayformat = formats[profformat] |
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124 |
else: |
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ui.warn(_('unknown profiler output format: %s\n') % profformat) |
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126 |
displayformat = statprof.DisplayFormats.Hotpath |
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127 |
|
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128 |
kwargs = {} |
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129 |
|
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130 |
def fraction(s): |
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if isinstance(s, (float, int)): |
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return float(s) |
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133 |
if s.endswith('%'): |
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134 |
v = float(s[:-1]) / 100 |
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135 |
else: |
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136 |
v = float(s) |
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137 |
if 0 <= v <= 1: |
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138 |
return v |
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139 |
raise ValueError(s) |
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140 |
|
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141 |
if profformat == 'chrome': |
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showmin = ui.configwith(fraction, 'profiling', 'showmin', 0.005) |
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showmax = ui.configwith(fraction, 'profiling', 'showmax') |
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kwargs.update(minthreshold=showmin, maxthreshold=showmax) |
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elif profformat == 'hotpath': |
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# inconsistent config: profiling.showmin |
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limit = ui.configwith(fraction, 'profiling', 'showmin', 0.05) |
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kwargs[r'limit'] = limit |
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149 |
|
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statprof.display(fp, data=data, format=displayformat, **kwargs) |
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151 |
|
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152 |
class profile(object): |
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"""Start profiling. |
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154 |
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Profiling is active when the context manager is active. When the context |
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156 |
manager exits, profiling results will be written to the configured output. |
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157 |
""" |
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158 |
def __init__(self, ui, enabled=True): |
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159 |
self._ui = ui |
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160 |
self._output = None |
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161 |
self._fp = None |
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162 |
self._fpdoclose = True |
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163 |
self._profiler = None |
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164 |
self._enabled = enabled |
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165 |
self._entered = False |
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166 |
self._started = False |
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167 |
|
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168 |
def __enter__(self): |
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169 |
self._entered = True |
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170 |
if self._enabled: |
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171 |
self.start() |
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172 |
return self |
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173 |
|
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174 |
def start(self): |
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175 |
"""Start profiling. |
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176 |
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177 |
The profiling will stop at the context exit. |
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178 |
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179 |
If the profiler was already started, this has no effect.""" |
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180 |
if not self._entered: |
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181 |
raise error.ProgrammingError() |
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182 |
if self._started: |
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183 |
return |
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184 |
self._started = True |
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185 |
profiler = encoding.environ.get('HGPROF') |
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186 |
proffn = None |
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187 |
if profiler is None: |
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188 |
profiler = self._ui.config('profiling', 'type') |
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189 |
if profiler not in ('ls', 'stat', 'flame'): |
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190 |
# try load profiler from extension with the same name |
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191 |
proffn = _loadprofiler(self._ui, profiler) |
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192 |
if proffn is None: |
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193 |
self._ui.warn(_("unrecognized profiler '%s' - ignored\n") |
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194 |
% profiler) |
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195 |
profiler = 'stat' |
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196 |
|
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197 |
self._output = self._ui.config('profiling', 'output') |
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198 |
|
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199 |
try: |
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200 |
if self._output == 'blackbox': |
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201 |
self._fp = util.stringio() |
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202 |
elif self._output: |
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203 |
path = self._ui.expandpath(self._output) |
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204 |
self._fp = open(path, 'wb') |
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205 |
elif pycompat.iswindows: |
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206 |
# parse escape sequence by win32print() |
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207 |
class uifp(object): |
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208 |
def __init__(self, ui): |
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209 |
self._ui = ui |
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210 |
def write(self, data): |
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211 |
self._ui.write_err(data) |
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212 |
def flush(self): |
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self._ui.flush() |
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self._fpdoclose = False |
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215 |
self._fp = uifp(self._ui) |
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216 |
else: |
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217 |
self._fpdoclose = False |
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218 |
self._fp = self._ui.ferr |
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219 |
|
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if proffn is not None: |
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pass |
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elif profiler == 'ls': |
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proffn = lsprofile |
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elif profiler == 'flame': |
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proffn = flameprofile |
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else: |
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proffn = statprofile |
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|
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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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|
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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__(exception_type, exception_value, |
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traceback) |
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if self._output == 'blackbox': |
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val = '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('%', '%%') |
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self._ui.log('profile', val) |
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self._closefp() |
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return propagate |
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|
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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() |