annotate mercurial/profiling.py @ 51888:f833ad92ee44

util: avoid a leaked file descriptor in `util.makelock()` exceptional case
author Matt Harbison <matt_harbison@yahoo.com>
date Fri, 20 Sep 2024 00:20:24 -0400
parents f4733654f144
children 499b19683c1b
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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 annotations
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9
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10 import contextlib
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11 import os
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12 import signal
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13 import subprocess
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14 import sys
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15
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16 from .i18n import _
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17 from .pycompat import (
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18 open,
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19 )
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20 from . import (
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21 encoding,
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22 error,
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23 extensions,
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24 pycompat,
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25 util,
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26 )
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27
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28
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29 def _loadprofiler(ui, profiler):
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30 """load profiler extension. return profile method, or None on failure"""
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31 extname = profiler
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32 extensions.loadall(ui, whitelist=[extname])
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33 try:
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34 mod = extensions.find(extname)
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35 except KeyError:
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36 return None
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37 else:
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38 return getattr(mod, 'profile', None)
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39
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40
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41 @contextlib.contextmanager
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42 def lsprofile(ui, fp):
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43 format = ui.config(b'profiling', b'format')
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44 field = ui.config(b'profiling', b'sort')
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45 limit = ui.configint(b'profiling', b'limit')
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46 climit = ui.configint(b'profiling', b'nested')
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47
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48 if format not in [b'text', b'kcachegrind']:
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49 ui.warn(_(b"unrecognized profiling format '%s' - Ignored\n") % format)
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50 format = b'text'
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51
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52 try:
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53 from . import lsprof
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54 except ImportError:
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55 raise error.Abort(
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56 _(
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57 b'lsprof not available - install from '
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58 b'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/'
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59 )
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60 )
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61 p = lsprof.Profiler()
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62 try:
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63 p.enable(subcalls=True)
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64 except ValueError as exc:
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65 if str(exc) != "Another profiling tool is already active":
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66 raise
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67 if not hasattr(sys, "monitoring"):
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68 raise
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69 # python >=3.12 prevent more than one profiler to run at the same
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70 # time, tries to improve the report to help the user understand
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71 # what is going on.
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72 other_tool_name = sys.monitoring.get_tool(sys.monitoring.PROFILER_ID)
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73 if other_tool_name == "cProfile":
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74 msg = 'cannot recursively call `lsprof`'
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75 raise error.Abort(msg) from None
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76 else:
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77 m = 'failed to start "lsprofile"; another profiler already running: %s'
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78 raise error.Abort(_(m) % other_tool_name) from None
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79 try:
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80 yield
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81 finally:
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82 p.disable()
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83
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84 if format == b'kcachegrind':
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85 from . import lsprofcalltree
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86
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87 calltree = lsprofcalltree.KCacheGrind(p)
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88 calltree.output(fp)
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89 else:
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90 # format == 'text'
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91 stats = lsprof.Stats(p.getstats())
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92 stats.sort(pycompat.sysstr(field))
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93 stats.pprint(limit=limit, file=fp, climit=climit)
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94 fp.flush()
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95
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96
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97 @contextlib.contextmanager
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98 def flameprofile(ui, fp):
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99 try:
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100 from flamegraph import flamegraph # pytype: disable=import-error
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101 except ImportError:
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102 raise error.Abort(
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103 _(
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104 b'flamegraph not available - install from '
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105 b'https://github.com/evanhempel/python-flamegraph'
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106 )
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107 )
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108 # developer config: profiling.freq
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109 freq = ui.configint(b'profiling', b'freq')
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110 filter_ = None
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111 collapse_recursion = True
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112 thread = flamegraph.ProfileThread(
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113 fp, 1.0 / freq, filter_, collapse_recursion
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114 )
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115 start_time = util.timer()
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116 try:
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117 thread.start()
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118 yield
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119 finally:
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120 thread.stop()
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121 thread.join()
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122 m = b'Collected %d stack frames (%d unique) in %2.2f seconds.'
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123 m %= (
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124 (
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125 util.timer() - start_time,
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126 thread.num_frames(),
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127 thread.num_frames(unique=True),
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128 ),
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129 )
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130 print(m, flush=True)
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131
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132
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133 @contextlib.contextmanager
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134 def statprofile(ui, fp):
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135 from . import statprof
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136
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137 freq = ui.configint(b'profiling', b'freq')
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138 if freq > 0:
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139 # Cannot reset when profiler is already active. So silently no-op.
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140 if statprof.state.profile_level == 0:
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141 statprof.reset(freq)
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142 else:
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143 ui.warn(_(b"invalid sampling frequency '%s' - ignoring\n") % freq)
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144
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145 track = ui.config(
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146 b'profiling', b'time-track', pycompat.iswindows and b'cpu' or b'real'
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147 )
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148 statprof.start(mechanism=b'thread', track=track)
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149
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150 try:
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151 yield
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152 finally:
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153 data = statprof.stop()
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154
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155 profformat = ui.config(b'profiling', b'statformat')
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156
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157 formats = {
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158 b'byline': statprof.DisplayFormats.ByLine,
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159 b'bymethod': statprof.DisplayFormats.ByMethod,
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160 b'hotpath': statprof.DisplayFormats.Hotpath,
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161 b'json': statprof.DisplayFormats.Json,
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162 b'chrome': statprof.DisplayFormats.Chrome,
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163 }
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164
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165 if profformat in formats:
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166 displayformat = formats[profformat]
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167 else:
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168 ui.warn(_(b'unknown profiler output format: %s\n') % profformat)
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169 displayformat = statprof.DisplayFormats.Hotpath
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170
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171 kwargs = {}
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172
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173 def fraction(s):
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174 if isinstance(s, (float, int)):
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175 return float(s)
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176 if s.endswith(b'%'):
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177 v = float(s[:-1]) / 100
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178 else:
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179 v = float(s)
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180 if 0 <= v <= 1:
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181 return v
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182 raise ValueError(s)
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183
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184 if profformat == b'chrome':
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185 showmin = ui.configwith(fraction, b'profiling', b'showmin', 0.005)
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186 showmax = ui.configwith(fraction, b'profiling', b'showmax')
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187 kwargs.update(minthreshold=showmin, maxthreshold=showmax)
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188 elif profformat == b'hotpath':
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189 # inconsistent config: profiling.showmin
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190 limit = ui.configwith(fraction, b'profiling', b'showmin', 0.05)
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191 kwargs['limit'] = limit
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192 showtime = ui.configbool(b'profiling', b'showtime')
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193 kwargs['showtime'] = showtime
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194
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195 statprof.display(fp, data=data, format=displayformat, **kwargs)
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196 fp.flush()
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197
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198
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199 @contextlib.contextmanager
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200 def pyspy_profile(ui, fp):
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201 exe = ui.config(b'profiling', b'py-spy.exe')
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202
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203 freq = ui.configint(b'profiling', b'py-spy.freq')
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204
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205 format = ui.config(b'profiling', b'py-spy.format')
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206
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207 fd = fp.fileno()
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208
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209 output_path = "/dev/fd/%d" % (fd)
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210
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211 my_pid = os.getpid()
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212
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213 cmd = [
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214 exe,
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215 "record",
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216 "--pid",
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217 str(my_pid),
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218 "--native",
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219 "--rate",
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220 str(freq),
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221 "--output",
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222 output_path,
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223 ]
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224
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225 if format:
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226 cmd.extend(["--format", format])
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227
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228 proc = subprocess.Popen(
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229 cmd,
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230 pass_fds={fd},
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231 stdout=subprocess.PIPE,
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232 )
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233
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234 _ = proc.stdout.readline()
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235
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236 try:
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237 yield
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238 finally:
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239 os.kill(proc.pid, signal.SIGINT)
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240 proc.communicate()
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241
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242
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243 class profile:
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244 """Start profiling.
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245
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246 Profiling is active when the context manager is active. When the context
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247 manager exits, profiling results will be written to the configured output.
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248 """
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249
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250 def __init__(self, ui, enabled=True):
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251 self._ui = ui
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252 self._output = None
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253 self._fp = None
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254 self._fpdoclose = True
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255 self._flushfp = None
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256 self._profiler = None
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257 self._enabled = enabled
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258 self._entered = False
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259 self._started = False
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260
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261 def __enter__(self):
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262 self._entered = True
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263 if self._enabled:
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264 self.start()
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265 return self
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266
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267 def start(self):
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268 """Start profiling.
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269
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270 The profiling will stop at the context exit.
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271
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272 If the profiler was already started, this has no effect."""
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273 if not self._entered:
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274 raise error.ProgrammingError(b'use a context manager to start')
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275 if self._started:
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276 return
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277 self._started = True
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278 profiler = encoding.environ.get(b'HGPROF')
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279 proffn = None
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280 if profiler is None:
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281 profiler = self._ui.config(b'profiling', b'type')
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282 if profiler not in (b'ls', b'stat', b'flame', b'py-spy'):
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283 # try load profiler from extension with the same name
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284 proffn = _loadprofiler(self._ui, profiler)
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285 if proffn is None:
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286 self._ui.warn(
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287 _(b"unrecognized profiler '%s' - ignored\n") % profiler
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288 )
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289 profiler = b'stat'
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290
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291 self._output = self._ui.config(b'profiling', b'output')
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292
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293 try:
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294 if self._output == b'blackbox':
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295 self._fp = util.stringio()
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296 elif self._output:
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297 path = util.expandpath(self._output)
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298 self._fp = open(path, b'wb')
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299 elif pycompat.iswindows:
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300 # parse escape sequence by win32print()
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301 class uifp:
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302 def __init__(self, ui):
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303 self._ui = ui
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304
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305 def write(self, data):
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306 self._ui.write_err(data)
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307
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308 def flush(self):
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309 self._ui.flush()
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310
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311 self._fpdoclose = False
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312 self._fp = uifp(self._ui)
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313 else:
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314 self._fpdoclose = False
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315 self._fp = self._ui.ferr
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316 # Ensure we've flushed fout before writing to ferr.
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317 self._flushfp = self._ui.fout
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318
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319 if proffn is not None:
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320 pass
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321 elif profiler == b'ls':
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322 proffn = lsprofile
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323 elif profiler == b'flame':
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324 proffn = flameprofile
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325 elif profiler == b'py-spy':
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326 proffn = pyspy_profile
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327 else:
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328 proffn = statprofile
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329
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330 self._profiler = proffn(self._ui, self._fp)
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331 self._profiler.__enter__()
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332 except: # re-raises
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333 self._closefp()
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334 raise
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335
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336 def __exit__(self, exception_type, exception_value, traceback):
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337 propagate = None
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338 if self._profiler is not None:
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339 self._uiflush()
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340 propagate = self._profiler.__exit__(
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341 exception_type, exception_value, traceback
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342 )
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343 if self._output == b'blackbox':
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344 val = b'Profile:\n%s' % self._fp.getvalue()
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345 # ui.log treats the input as a format string,
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346 # so we need to escape any % signs.
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347 val = val.replace(b'%', b'%%')
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348 self._ui.log(b'profile', val)
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349 self._closefp()
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350 return propagate
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351
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352 def _closefp(self):
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353 if self._fpdoclose and self._fp is not None:
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354 self._fp.close()
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355
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356 def _uiflush(self):
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357 if self._flushfp:
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358 self._flushfp.flush()