annotate mercurial/profiling.py @ 37870:39c17718f311

tests: make test-check-interfaces.py work on Python 3 # skip-blame just a bunch of bytes prefixes Differential Revision: https://phab.mercurial-scm.org/D3465
author Augie Fackler <augie@google.com>
date Thu, 26 Apr 2018 21:39:35 -0400
parents e39953fdd924
children 15a1e37f80bd
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1 # profiling.py - profiling functions
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2 #
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3 # Copyright 2016 Gregory Szorc <gregory.szorc@gmail.com>
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4 #
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5 # This software may be used and distributed according to the terms of the
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6 # GNU General Public License version 2 or any later version.
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7
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8 from __future__ import absolute_import, print_function
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9
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10 import contextlib
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11
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12 from .i18n import _
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13 from . import (
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14 encoding,
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15 error,
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16 extensions,
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17 pycompat,
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18 util,
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19 )
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20
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21 def _loadprofiler(ui, profiler):
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22 """load profiler extension. return profile method, or None on failure"""
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23 extname = profiler
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24 extensions.loadall(ui, whitelist=[extname])
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25 try:
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26 mod = extensions.find(extname)
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27 except KeyError:
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28 return None
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29 else:
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30 return getattr(mod, 'profile', None)
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31
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32 @contextlib.contextmanager
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33 def lsprofile(ui, fp):
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34 format = ui.config('profiling', 'format')
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35 field = ui.config('profiling', 'sort')
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36 limit = ui.configint('profiling', 'limit')
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37 climit = ui.configint('profiling', 'nested')
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38
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39 if format not in ['text', 'kcachegrind']:
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40 ui.warn(_("unrecognized profiling format '%s'"
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41 " - Ignored\n") % format)
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42 format = 'text'
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43
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44 try:
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45 from . import lsprof
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46 except ImportError:
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47 raise error.Abort(_(
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48 'lsprof not available - install from '
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49 'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/'))
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50 p = lsprof.Profiler()
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51 p.enable(subcalls=True)
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52 try:
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53 yield
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54 finally:
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55 p.disable()
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56
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57 if format == 'kcachegrind':
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58 from . import lsprofcalltree
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59 calltree = lsprofcalltree.KCacheGrind(p)
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60 calltree.output(fp)
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61 else:
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62 # format == 'text'
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63 stats = lsprof.Stats(p.getstats())
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64 stats.sort(field)
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65 stats.pprint(limit=limit, file=fp, climit=climit)
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66
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67 @contextlib.contextmanager
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68 def flameprofile(ui, fp):
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69 try:
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70 from flamegraph import flamegraph
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71 except ImportError:
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72 raise error.Abort(_(
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73 'flamegraph not available - install from '
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74 'https://github.com/evanhempel/python-flamegraph'))
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75 # developer config: profiling.freq
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76 freq = ui.configint('profiling', 'freq')
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77 filter_ = None
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78 collapse_recursion = True
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79 thread = flamegraph.ProfileThread(fp, 1.0 / freq,
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80 filter_, collapse_recursion)
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81 start_time = util.timer()
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82 try:
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83 thread.start()
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84 yield
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85 finally:
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86 thread.stop()
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87 thread.join()
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88 print('Collected %d stack frames (%d unique) in %2.2f seconds.' % (
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89 util.timer() - start_time, thread.num_frames(),
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90 thread.num_frames(unique=True)))
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91
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92 @contextlib.contextmanager
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93 def statprofile(ui, fp):
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94 from . import statprof
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95
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96 freq = ui.configint('profiling', 'freq')
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97 if freq > 0:
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98 # Cannot reset when profiler is already active. So silently no-op.
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99 if statprof.state.profile_level == 0:
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100 statprof.reset(freq)
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101 else:
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102 ui.warn(_("invalid sampling frequency '%s' - ignoring\n") % freq)
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103
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104 statprof.start(mechanism='thread')
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105
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106 try:
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107 yield
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108 finally:
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109 data = statprof.stop()
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110
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111 profformat = ui.config('profiling', 'statformat')
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112
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113 formats = {
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114 'byline': statprof.DisplayFormats.ByLine,
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115 'bymethod': statprof.DisplayFormats.ByMethod,
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116 'hotpath': statprof.DisplayFormats.Hotpath,
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117 'json': statprof.DisplayFormats.Json,
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118 'chrome': statprof.DisplayFormats.Chrome,
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119 }
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120
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121 if profformat in formats:
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122 displayformat = formats[profformat]
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123 else:
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124 ui.warn(_('unknown profiler output format: %s\n') % profformat)
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125 displayformat = statprof.DisplayFormats.Hotpath
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126
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127 kwargs = {}
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128
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129 def fraction(s):
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130 if isinstance(s, (float, int)):
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131 return float(s)
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132 if s.endswith('%'):
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133 v = float(s[:-1]) / 100
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134 else:
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135 v = float(s)
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136 if 0 <= v <= 1:
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137 return v
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138 raise ValueError(s)
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139
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140 if profformat == 'chrome':
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141 showmin = ui.configwith(fraction, 'profiling', 'showmin', 0.005)
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142 showmax = ui.configwith(fraction, 'profiling', 'showmax')
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143 kwargs.update(minthreshold=showmin, maxthreshold=showmax)
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144 elif profformat == 'hotpath':
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145 # inconsistent config: profiling.showmin
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146 limit = ui.configwith(fraction, 'profiling', 'showmin', 0.05)
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147 kwargs[r'limit'] = limit
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148
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149 statprof.display(fp, data=data, format=displayformat, **kwargs)
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150
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151 class profile(object):
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152 """Start profiling.
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153
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154 Profiling is active when the context manager is active. When the context
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155 manager exits, profiling results will be written to the configured output.
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156 """
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157 def __init__(self, ui, enabled=True):
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158 self._ui = ui
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159 self._output = None
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160 self._fp = None
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161 self._fpdoclose = True
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162 self._profiler = None
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163 self._enabled = enabled
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164 self._entered = False
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165 self._started = False
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166
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167 def __enter__(self):
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168 self._entered = True
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169 if self._enabled:
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170 self.start()
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171 return self
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172
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173 def start(self):
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174 """Start profiling.
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175
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176 The profiling will stop at the context exit.
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177
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178 If the profiler was already started, this has no effect."""
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179 if not self._entered:
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180 raise error.ProgrammingError()
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181 if self._started:
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182 return
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183 self._started = True
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184 profiler = encoding.environ.get('HGPROF')
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185 proffn = None
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186 if profiler is None:
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187 profiler = self._ui.config('profiling', 'type')
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188 if profiler not in ('ls', 'stat', 'flame'):
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189 # try load profiler from extension with the same name
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190 proffn = _loadprofiler(self._ui, profiler)
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191 if proffn is None:
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192 self._ui.warn(_("unrecognized profiler '%s' - ignored\n")
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193 % profiler)
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194 profiler = 'stat'
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195
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196 self._output = self._ui.config('profiling', 'output')
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197
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198 try:
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199 if self._output == 'blackbox':
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200 self._fp = util.stringio()
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201 elif self._output:
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202 path = self._ui.expandpath(self._output)
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203 self._fp = open(path, 'wb')
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204 elif pycompat.iswindows:
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205 # parse escape sequence by win32print()
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206 class uifp(object):
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207 def __init__(self, ui):
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208 self._ui = ui
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209 def write(self, data):
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210 self._ui.write_err(data)
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211 def flush(self):
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212 self._ui.flush()
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213 self._fpdoclose = False
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214 self._fp = uifp(self._ui)
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215 else:
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216 self._fpdoclose = False
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217 self._fp = self._ui.ferr
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218
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219 if proffn is not None:
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220 pass
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221 elif profiler == 'ls':
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222 proffn = lsprofile
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223 elif profiler == 'flame':
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224 proffn = flameprofile
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225 else:
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226 proffn = statprofile
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227
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228 self._profiler = proffn(self._ui, self._fp)
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229 self._profiler.__enter__()
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diff changeset
230 except: # re-raises
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231 self._closefp()
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232 raise
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233
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234 def __exit__(self, exception_type, exception_value, traceback):
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235 propagate = None
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236 if self._profiler is not None:
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237 propagate = self._profiler.__exit__(exception_type, exception_value,
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238 traceback)
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239 if self._output == 'blackbox':
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240 val = 'Profile:\n%s' % self._fp.getvalue()
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241 # ui.log treats the input as a format string,
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242 # so we need to escape any % signs.
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243 val = val.replace('%', '%%')
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244 self._ui.log('profile', val)
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245 self._closefp()
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246 return propagate
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247
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248 def _closefp(self):
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249 if self._fpdoclose and self._fp is not None:
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250 self._fp.close()