annotate mercurial/hbisect.py @ 15151:0d4f6e843b05

building: build inotify for sys.platform='linux*' If Python interpreter was built under Linux 3.x kernel, it reports sys.platform to be 'linux3' (it is fixed for Python 3, but not for 2.x). This cancels building inotify extension, which was built only for 'linux2' platform. Improved test checks if sys.platform begins with 'linux', and together with test for kernel version to be greater than 2.6 it seems to cover all known cases.
author Nikolaj Sjujskij <sterkrig@myopera.com>
date Tue, 20 Sep 2011 15:21:27 +0300
parents 395ca8cd2669
children fa0a464e4ca5
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1 # changelog bisection for mercurial
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2 #
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3 # Copyright 2007 Matt Mackall
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4 # Copyright 2005, 2006 Benoit Boissinot <benoit.boissinot@ens-lyon.org>
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5 #
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6 # Inspired by git bisect, extension skeleton taken from mq.py.
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7 #
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8 # This software may be used and distributed according to the terms of the
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9 # GNU General Public License version 2 or any later version.
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10
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11 import os, error
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12 from i18n import _
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13 from node import short, hex
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14 import util
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15
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16 def bisect(changelog, state):
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17 """find the next node (if any) for testing during a bisect search.
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18 returns a (nodes, number, good) tuple.
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19
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20 'nodes' is the final result of the bisect if 'number' is 0.
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21 Otherwise 'number' indicates the remaining possible candidates for
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22 the search and 'nodes' contains the next bisect target.
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23 'good' is True if bisect is searching for a first good changeset, False
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24 if searching for a first bad one.
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25 """
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26
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27 clparents = changelog.parentrevs
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28 skip = set([changelog.rev(n) for n in state['skip']])
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29
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30 def buildancestors(bad, good):
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31 # only the earliest bad revision matters
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32 badrev = min([changelog.rev(n) for n in bad])
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33 goodrevs = [changelog.rev(n) for n in good]
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34 goodrev = min(goodrevs)
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35 # build visit array
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36 ancestors = [None] * (len(changelog) + 1) # an extra for [-1]
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37
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38 # set nodes descended from goodrevs
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39 for rev in goodrevs:
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40 ancestors[rev] = []
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41 for rev in xrange(goodrev + 1, len(changelog)):
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42 for prev in clparents(rev):
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43 if ancestors[prev] == []:
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44 ancestors[rev] = []
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45
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46 # clear good revs from array
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47 for rev in goodrevs:
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48 ancestors[rev] = None
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49 for rev in xrange(len(changelog), goodrev, -1):
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50 if ancestors[rev] is None:
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51 for prev in clparents(rev):
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52 ancestors[prev] = None
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53
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54 if ancestors[badrev] is None:
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55 return badrev, None
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56 return badrev, ancestors
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57
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58 good = False
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59 badrev, ancestors = buildancestors(state['bad'], state['good'])
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60 if not ancestors: # looking for bad to good transition?
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61 good = True
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62 badrev, ancestors = buildancestors(state['good'], state['bad'])
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63 bad = changelog.node(badrev)
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64 if not ancestors: # now we're confused
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65 if len(state['bad']) == 1 and len(state['good']) == 1:
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66 raise util.Abort(_("starting revisions are not directly related"))
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67 raise util.Abort(_("inconsistent state, %s:%s is good and bad")
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68 % (badrev, short(bad)))
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69
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70 # build children dict
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71 children = {}
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72 visit = [badrev]
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73 candidates = []
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74 while visit:
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75 rev = visit.pop(0)
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76 if ancestors[rev] == []:
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77 candidates.append(rev)
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78 for prev in clparents(rev):
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79 if prev != -1:
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80 if prev in children:
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81 children[prev].append(rev)
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82 else:
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83 children[prev] = [rev]
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84 visit.append(prev)
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85
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86 candidates.sort()
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87 # have we narrowed it down to one entry?
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88 # or have all other possible candidates besides 'bad' have been skipped?
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89 tot = len(candidates)
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90 unskipped = [c for c in candidates if (c not in skip) and (c != badrev)]
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91 if tot == 1 or not unskipped:
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92 return ([changelog.node(rev) for rev in candidates], 0, good)
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93 perfect = tot // 2
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94
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95 # find the best node to test
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96 best_rev = None
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97 best_len = -1
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98 poison = set()
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99 for rev in candidates:
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100 if rev in poison:
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101 # poison children
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102 poison.update(children.get(rev, []))
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103 continue
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104
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105 a = ancestors[rev] or [rev]
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106 ancestors[rev] = None
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107
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108 x = len(a) # number of ancestors
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109 y = tot - x # number of non-ancestors
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110 value = min(x, y) # how good is this test?
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111 if value > best_len and rev not in skip:
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112 best_len = value
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113 best_rev = rev
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114 if value == perfect: # found a perfect candidate? quit early
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115 break
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116
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117 if y < perfect and rev not in skip: # all downhill from here?
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118 # poison children
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119 poison.update(children.get(rev, []))
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120 continue
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121
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122 for c in children.get(rev, []):
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123 if ancestors[c]:
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124 ancestors[c] = list(set(ancestors[c] + a))
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125 else:
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126 ancestors[c] = a + [c]
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127
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128 assert best_rev is not None
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129 best_node = changelog.node(best_rev)
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130
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131 return ([best_node], tot, good)
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132
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133
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134 def load_state(repo):
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135 state = {'good': [], 'bad': [], 'skip': []}
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136 if os.path.exists(repo.join("bisect.state")):
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137 for l in repo.opener("bisect.state"):
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138 kind, node = l[:-1].split()
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139 node = repo.lookup(node)
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140 if kind not in state:
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141 raise util.Abort(_("unknown bisect kind %s") % kind)
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142 state[kind].append(node)
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143 return state
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144
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145
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146 def save_state(repo, state):
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147 f = repo.opener("bisect.state", "w", atomictemp=True)
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148 wlock = repo.wlock()
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149 try:
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150 for kind in state:
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151 for node in state[kind]:
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152 f.write("%s %s\n" % (kind, hex(node)))
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153 f.close()
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154 finally:
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155 wlock.release()
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156
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157 def get(repo, status):
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158 """
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159 Return a list of revision(s) that match the given status:
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160
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161 - ``good``, ``bad``, ``skip``: as the names imply
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162 - ``range`` : all csets taking part in the bisection
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163 - ``pruned`` : csets that are good, bad or skipped
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164 - ``untested`` : csets whose fate is yet unknown
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165 - ``ignored`` : csets ignored due to DAG topology
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166 """
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167 state = load_state(repo)
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168 if status in ('good', 'bad', 'skip'):
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169 return [repo.changelog.rev(n) for n in state[status]]
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170 else:
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171 # In the floowing sets, we do *not* call 'bisect()' with more
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172 # than one level of recusrsion, because that can be very, very
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173 # time consuming. Instead, we always develop the expression as
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174 # much as possible.
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175
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176 # 'range' is all csets that make the bisection:
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177 # - have a good ancestor and a bad descendant, or conversely
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178 # that's because the bisection can go either way
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179 range = '( bisect(bad)::bisect(good) | bisect(good)::bisect(bad) )'
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180
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181 # 'pruned' is all csets whose fate is already known:
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182 # - a good ancestor and a good ascendant, or
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183 # - a bad ancestor and a bad descendant, or
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184 # - skipped
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185 # But in case of irrelevant goods/bads, we also need to
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186 # include them.
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187 pg = 'bisect(good)::bisect(good)' # Pruned goods
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188 pb = 'bisect(bad)::bisect(bad)' # Pruned bads
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189 ps = 'bisect(skip)' # Pruned skipped
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190 pruned = '( (%s) | (%s) | (%s) )' % (pg, pb, ps)
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191
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192 # 'untested' is all cset that are- in 'range', but not in 'pruned'
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193 untested = '( (%s) - (%s) )' % (range, pruned)
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194
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195 # 'ignored' is all csets that were not used during the bisection
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196 # due to DAG topology, but may however have had an impact.
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197 # Eg., a branch merged between bads and goods, but whose branch-
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198 # point is out-side of the range.
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199 iba = '::bisect(bad) - ::bisect(good)' # Ignored bads' ancestors
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200 iga = '::bisect(good) - ::bisect(bad)' # Ignored goods' ancestors
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201 ignored = '( ( (%s) | (%s) ) - (%s) )' % (iba, iga, range)
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202
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203 if status == 'range':
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204 return [c.rev() for c in repo.set(range)]
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205 elif status == 'pruned':
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206 return [c.rev() for c in repo.set(pruned)]
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207 elif status == 'untested':
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208 return [c.rev() for c in repo.set(untested)]
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209 elif status == 'ignored':
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210 return [c.rev() for c in repo.set(ignored)]
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211
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212 else:
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213 raise error.ParseError(_('invalid bisect state'))