Mercurial > hg
annotate mercurial/profiling.py @ 31957:84f9eb9758c0
atexit: test failing handlers
author | Bryan O'Sullivan <bryano@fb.com> |
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date | Tue, 11 Apr 2017 14:54:12 -0700 |
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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 util, |
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17 ) |
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18 |
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19 @contextlib.contextmanager |
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20 def lsprofile(ui, fp): |
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21 format = ui.config('profiling', 'format', default='text') |
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22 field = ui.config('profiling', 'sort', default='inlinetime') |
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23 limit = ui.configint('profiling', 'limit', default=30) |
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24 climit = ui.configint('profiling', 'nested', default=0) |
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25 |
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26 if format not in ['text', 'kcachegrind']: |
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27 ui.warn(_("unrecognized profiling format '%s'" |
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28 " - Ignored\n") % format) |
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29 format = 'text' |
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30 |
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31 try: |
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32 from . import lsprof |
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33 except ImportError: |
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34 raise error.Abort(_( |
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35 'lsprof not available - install from ' |
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36 'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/')) |
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37 p = lsprof.Profiler() |
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38 p.enable(subcalls=True) |
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39 try: |
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40 yield |
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41 finally: |
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42 p.disable() |
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43 |
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44 if format == 'kcachegrind': |
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45 from . import lsprofcalltree |
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46 calltree = lsprofcalltree.KCacheGrind(p) |
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47 calltree.output(fp) |
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48 else: |
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49 # format == 'text' |
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50 stats = lsprof.Stats(p.getstats()) |
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51 stats.sort(field) |
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52 stats.pprint(limit=limit, file=fp, climit=climit) |
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53 |
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54 @contextlib.contextmanager |
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55 def flameprofile(ui, fp): |
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56 try: |
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57 from flamegraph import flamegraph |
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58 except ImportError: |
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59 raise error.Abort(_( |
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60 'flamegraph not available - install from ' |
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61 'https://github.com/evanhempel/python-flamegraph')) |
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62 # developer config: profiling.freq |
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63 freq = ui.configint('profiling', 'freq', default=1000) |
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64 filter_ = None |
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65 collapse_recursion = True |
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66 thread = flamegraph.ProfileThread(fp, 1.0 / freq, |
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67 filter_, collapse_recursion) |
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68 start_time = util.timer() |
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69 try: |
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70 thread.start() |
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71 yield |
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72 finally: |
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73 thread.stop() |
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74 thread.join() |
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75 print('Collected %d stack frames (%d unique) in %2.2f seconds.' % ( |
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76 util.timer() - start_time, thread.num_frames(), |
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77 thread.num_frames(unique=True))) |
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78 |
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79 @contextlib.contextmanager |
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80 def statprofile(ui, fp): |
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81 from . import statprof |
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82 |
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83 freq = ui.configint('profiling', 'freq', default=1000) |
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84 if freq > 0: |
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85 # Cannot reset when profiler is already active. So silently no-op. |
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86 if statprof.state.profile_level == 0: |
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87 statprof.reset(freq) |
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88 else: |
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89 ui.warn(_("invalid sampling frequency '%s' - ignoring\n") % freq) |
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90 |
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91 statprof.start(mechanism='thread') |
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92 |
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93 try: |
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94 yield |
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95 finally: |
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96 data = statprof.stop() |
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97 |
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98 profformat = ui.config('profiling', 'statformat', 'hotpath') |
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99 |
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100 formats = { |
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101 'byline': statprof.DisplayFormats.ByLine, |
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102 'bymethod': statprof.DisplayFormats.ByMethod, |
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103 'hotpath': statprof.DisplayFormats.Hotpath, |
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104 'json': statprof.DisplayFormats.Json, |
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105 'chrome': statprof.DisplayFormats.Chrome, |
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106 } |
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107 |
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108 if profformat in formats: |
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109 displayformat = formats[profformat] |
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110 else: |
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111 ui.warn(_('unknown profiler output format: %s\n') % profformat) |
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112 displayformat = statprof.DisplayFormats.Hotpath |
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113 |
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114 kwargs = {} |
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115 |
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116 def fraction(s): |
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117 if s.endswith('%'): |
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118 v = float(s[:-1]) / 100 |
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119 else: |
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120 v = float(s) |
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121 if 0 <= v <= 1: |
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122 return v |
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123 raise ValueError(s) |
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124 |
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125 if profformat == 'chrome': |
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126 showmin = ui.configwith(fraction, 'profiling', 'showmin', 0.005) |
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127 showmax = ui.configwith(fraction, 'profiling', 'showmax', 0.999) |
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128 kwargs.update(minthreshold=showmin, maxthreshold=showmax) |
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129 |
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130 statprof.display(fp, data=data, format=displayformat, **kwargs) |
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131 |
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132 @contextlib.contextmanager |
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133 def profile(ui): |
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134 """Start profiling. |
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135 |
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136 Profiling is active when the context manager is active. When the context |
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137 manager exits, profiling results will be written to the configured output. |
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138 """ |
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139 profiler = encoding.environ.get('HGPROF') |
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140 if profiler is None: |
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141 profiler = ui.config('profiling', 'type', default='stat') |
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142 if profiler not in ('ls', 'stat', 'flame'): |
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143 ui.warn(_("unrecognized profiler '%s' - ignored\n") % profiler) |
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144 profiler = 'stat' |
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145 |
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146 output = ui.config('profiling', 'output') |
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147 |
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148 if output == 'blackbox': |
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149 fp = util.stringio() |
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150 elif output: |
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151 path = ui.expandpath(output) |
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152 fp = open(path, 'wb') |
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153 else: |
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154 fp = ui.ferr |
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155 |
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156 try: |
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157 if profiler == 'ls': |
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158 proffn = lsprofile |
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159 elif profiler == 'flame': |
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160 proffn = flameprofile |
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161 else: |
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162 proffn = statprofile |
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163 |
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164 with proffn(ui, fp): |
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165 yield |
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166 |
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167 finally: |
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168 if output: |
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169 if output == 'blackbox': |
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170 val = 'Profile:\n%s' % fp.getvalue() |
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171 # ui.log treats the input as a format string, |
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172 # so we need to escape any % signs. |
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173 val = val.replace('%', '%%') |
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174 ui.log('profile', val) |
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175 fp.close() |
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176 |
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177 @contextlib.contextmanager |
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178 def maybeprofile(ui): |
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179 """Profile if enabled, else do nothing. |
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180 |
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181 This context manager can be used to optionally profile if profiling |
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182 is enabled. Otherwise, it does nothing. |
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183 |
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184 The purpose of this context manager is to make calling code simpler: |
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185 just use a single code path for calling into code you may want to profile |
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186 and this function determines whether to start profiling. |
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187 """ |
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188 if ui.configbool('profiling', 'enabled'): |
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189 with profile(ui): |
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190 yield |
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191 else: |
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192 yield |