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annotate mercurial/profiling.py @ 43117:8ff1ecfadcd1

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cleanup: join string literals that are already on one line Thanks to Kyle for noticing this and for providing the regular expression to run on the codebase. This patch has been reviewed by the test suite and they approved of it. # skip-blame: fallout from mass reformatting Differential Revision: https://phab.mercurial-scm.org/D7028
author Martin von Zweigbergk <martinvonz@google.com>
date Tue, 08 Oct 2019 15:06:18 -0700
parents c59eb1560c44
children 9f70512ae2cf
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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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
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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[r'limit'] = limit
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171 showtime = ui.configbool(b'profiling', b'showtime')
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172 kwargs[r'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()
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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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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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281 if self._fpdoclose and self._fp is not None:
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282 self._fp.close()