annotate mercurial/profiling.py @ 44229:c002d504ff11 stable

Added signature for changeset 7f5410dfc8a6
author Augie Fackler <raf@durin42.com>
date Mon, 03 Feb 2020 11:07:34 -0500
parents 882e633ac92c
children d6d4170882cd
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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 .pycompat import (
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14 getattr,
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15 open,
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16 )
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17 from . import (
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18 encoding,
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19 error,
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20 extensions,
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21 pycompat,
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22 util,
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23 )
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24
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25
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26 def _loadprofiler(ui, profiler):
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27 """load profiler extension. return profile method, or None on failure"""
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28 extname = profiler
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29 extensions.loadall(ui, whitelist=[extname])
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30 try:
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31 mod = extensions.find(extname)
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32 except KeyError:
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33 return None
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34 else:
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35 return getattr(mod, 'profile', None)
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36
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37
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38 @contextlib.contextmanager
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39 def lsprofile(ui, fp):
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40 format = ui.config(b'profiling', b'format')
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41 field = ui.config(b'profiling', b'sort')
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42 limit = ui.configint(b'profiling', b'limit')
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43 climit = ui.configint(b'profiling', b'nested')
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44
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45 if format not in [b'text', b'kcachegrind']:
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46 ui.warn(_(b"unrecognized profiling format '%s' - Ignored\n") % format)
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47 format = b'text'
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48
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49 try:
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50 from . import lsprof
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51 except ImportError:
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52 raise error.Abort(
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53 _(
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54 b'lsprof not available - install from '
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55 b'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/'
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56 )
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57 )
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58 p = lsprof.Profiler()
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59 p.enable(subcalls=True)
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60 try:
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61 yield
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62 finally:
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63 p.disable()
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64
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65 if format == b'kcachegrind':
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66 from . import lsprofcalltree
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67
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68 calltree = lsprofcalltree.KCacheGrind(p)
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69 calltree.output(fp)
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70 else:
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71 # format == 'text'
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72 stats = lsprof.Stats(p.getstats())
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73 stats.sort(pycompat.sysstr(field))
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74 stats.pprint(limit=limit, file=fp, climit=climit)
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75
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76
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77 @contextlib.contextmanager
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78 def flameprofile(ui, fp):
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79 try:
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80 from flamegraph import flamegraph # pytype: disable=import-error
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81 except ImportError:
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82 raise error.Abort(
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83 _(
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84 b'flamegraph not available - install from '
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85 b'https://github.com/evanhempel/python-flamegraph'
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86 )
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87 )
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88 # developer config: profiling.freq
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89 freq = ui.configint(b'profiling', b'freq')
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90 filter_ = None
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91 collapse_recursion = True
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92 thread = flamegraph.ProfileThread(
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93 fp, 1.0 / freq, filter_, collapse_recursion
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94 )
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95 start_time = util.timer()
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96 try:
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97 thread.start()
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98 yield
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99 finally:
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100 thread.stop()
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101 thread.join()
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102 print(
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103 b'Collected %d stack frames (%d unique) in %2.2f seconds.'
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104 % (
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105 util.timer() - start_time,
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106 thread.num_frames(),
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107 thread.num_frames(unique=True),
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108 )
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109 )
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110
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111
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112 @contextlib.contextmanager
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113 def statprofile(ui, fp):
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114 from . import statprof
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115
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116 freq = ui.configint(b'profiling', b'freq')
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117 if freq > 0:
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118 # Cannot reset when profiler is already active. So silently no-op.
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119 if statprof.state.profile_level == 0:
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120 statprof.reset(freq)
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121 else:
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122 ui.warn(_(b"invalid sampling frequency '%s' - ignoring\n") % freq)
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123
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124 track = ui.config(
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125 b'profiling', b'time-track', pycompat.iswindows and b'cpu' or b'real'
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126 )
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127 statprof.start(mechanism=b'thread', track=track)
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128
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129 try:
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130 yield
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131 finally:
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132 data = statprof.stop()
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133
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134 profformat = ui.config(b'profiling', b'statformat')
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135
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136 formats = {
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137 b'byline': statprof.DisplayFormats.ByLine,
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138 b'bymethod': statprof.DisplayFormats.ByMethod,
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139 b'hotpath': statprof.DisplayFormats.Hotpath,
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140 b'json': statprof.DisplayFormats.Json,
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141 b'chrome': statprof.DisplayFormats.Chrome,
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142 }
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143
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144 if profformat in formats:
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145 displayformat = formats[profformat]
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146 else:
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147 ui.warn(_(b'unknown profiler output format: %s\n') % profformat)
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148 displayformat = statprof.DisplayFormats.Hotpath
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149
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150 kwargs = {}
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151
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152 def fraction(s):
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153 if isinstance(s, (float, int)):
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154 return float(s)
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155 if s.endswith(b'%'):
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156 v = float(s[:-1]) / 100
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157 else:
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158 v = float(s)
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159 if 0 <= v <= 1:
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160 return v
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161 raise ValueError(s)
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162
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163 if profformat == b'chrome':
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164 showmin = ui.configwith(fraction, b'profiling', b'showmin', 0.005)
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165 showmax = ui.configwith(fraction, b'profiling', b'showmax')
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166 kwargs.update(minthreshold=showmin, maxthreshold=showmax)
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167 elif profformat == b'hotpath':
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168 # inconsistent config: profiling.showmin
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169 limit = ui.configwith(fraction, b'profiling', b'showmin', 0.05)
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170 kwargs['limit'] = limit
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171 showtime = ui.configbool(b'profiling', b'showtime')
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172 kwargs['showtime'] = showtime
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173
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174 statprof.display(fp, data=data, format=displayformat, **kwargs)
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175
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176
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177 class profile(object):
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178 """Start profiling.
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179
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180 Profiling is active when the context manager is active. When the context
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181 manager exits, profiling results will be written to the configured output.
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182 """
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183
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184 def __init__(self, ui, enabled=True):
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185 self._ui = ui
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186 self._output = None
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187 self._fp = None
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188 self._fpdoclose = True
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189 self._profiler = None
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190 self._enabled = enabled
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191 self._entered = False
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192 self._started = False
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193
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194 def __enter__(self):
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195 self._entered = True
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196 if self._enabled:
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197 self.start()
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198 return self
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199
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200 def start(self):
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201 """Start profiling.
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202
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203 The profiling will stop at the context exit.
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204
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205 If the profiler was already started, this has no effect."""
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206 if not self._entered:
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207 raise error.ProgrammingError(b'use a context manager to start')
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208 if self._started:
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209 return
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210 self._started = True
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211 profiler = encoding.environ.get(b'HGPROF')
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212 proffn = None
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213 if profiler is None:
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214 profiler = self._ui.config(b'profiling', b'type')
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215 if profiler not in (b'ls', b'stat', b'flame'):
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216 # try load profiler from extension with the same name
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217 proffn = _loadprofiler(self._ui, profiler)
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218 if proffn is None:
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219 self._ui.warn(
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220 _(b"unrecognized profiler '%s' - ignored\n") % profiler
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221 )
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222 profiler = b'stat'
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223
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224 self._output = self._ui.config(b'profiling', b'output')
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225
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226 try:
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227 if self._output == b'blackbox':
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228 self._fp = util.stringio()
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229 elif self._output:
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230 path = self._ui.expandpath(self._output)
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231 self._fp = open(path, b'wb')
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232 elif pycompat.iswindows:
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233 # parse escape sequence by win32print()
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234 class uifp(object):
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235 def __init__(self, ui):
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236 self._ui = ui
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237
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238 def write(self, data):
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239 self._ui.write_err(data)
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240
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241 def flush(self):
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242 self._ui.flush()
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243
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244 self._fpdoclose = False
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245 self._fp = uifp(self._ui)
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246 else:
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247 self._fpdoclose = False
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248 self._fp = self._ui.ferr
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249
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250 if proffn is not None:
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251 pass
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252 elif profiler == b'ls':
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253 proffn = lsprofile
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254 elif profiler == b'flame':
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255 proffn = flameprofile
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256 else:
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257 proffn = statprofile
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258
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259 self._profiler = proffn(self._ui, self._fp)
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260 self._profiler.__enter__()
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261 except: # re-raises
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262 self._closefp()
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263 raise
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264
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265 def __exit__(self, exception_type, exception_value, traceback):
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266 propagate = None
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267 if self._profiler is not None:
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268 propagate = self._profiler.__exit__(
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269 exception_type, exception_value, traceback
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270 )
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271 if self._output == b'blackbox':
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272 val = b'Profile:\n%s' % self._fp.getvalue()
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273 # ui.log treats the input as a format string,
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274 # so we need to escape any % signs.
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275 val = val.replace(b'%', b'%%')
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276 self._ui.log(b'profile', val)
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parents: 32805
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277 self._closefp()
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278 return propagate
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279
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280 def _closefp(self):
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Pierre-Yves David <pierre-yves.david@octobus.net>
parents: 32804
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281 if self._fpdoclose and self._fp is not None:
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parents: 32804
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282 self._fp.close()