annotate mercurial/hbisect.py @ 19486:002b711a3e8a stable

hgweb: fix incorrect way to count revisions in log (issue3977) Actual amount of revisions is used now instead of their numbers in the repo before to deal with skipped numbers correctly. This iterates starting from the newest revision (which is shown on top) yielding up to the specified count, instead of the reversed order used before. Effect of this change on efficiency is negligible, when the same changesets are returned.
author Alexander Plavin <me@aplavin.ru>
date Thu, 25 Jul 2013 02:22:39 +0400
parents 07771e233cf1
children 1e5b38a919dd 06ef32c3b4bb
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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 changelog.revs(goodrev + 1):
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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 changelog.revs(len(changelog), goodrev):
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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 = util.deque([badrev])
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73 candidates = []
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74 while visit:
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75 rev = visit.popleft()
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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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134 def load_state(repo):
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135 state = {'current': [], '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 sorted(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``: csets explicitly marked as good/bad/skip
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162 - ``goods``, ``bads`` : csets topologically good/bad
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163 - ``range`` : csets taking part in the bisection
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164 - ``pruned`` : csets that are goods, bads or skipped
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165 - ``untested`` : csets whose fate is yet unknown
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166 - ``ignored`` : csets ignored due to DAG topology
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167 - ``current`` : the cset currently being bisected
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168 """
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169 state = load_state(repo)
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170 if status in ('good', 'bad', 'skip', 'current'):
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171 return map(repo.changelog.rev, state[status])
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172 else:
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173 # In the following sets, we do *not* call 'bisect()' with more
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174 # than one level of recursion, because that can be very, very
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175 # time consuming. Instead, we always develop the expression as
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176 # much as possible.
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177
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178 # 'range' is all csets that make the bisection:
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179 # - have a good ancestor and a bad descendant, or conversely
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180 # that's because the bisection can go either way
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181 range = '( bisect(bad)::bisect(good) | bisect(good)::bisect(bad) )'
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182
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183 _t = repo.revs('bisect(good)::bisect(bad)')
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184 # The sets of topologically good or bad csets
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185 if len(_t) == 0:
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186 # Goods are topologically after bads
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187 goods = 'bisect(good)::' # Pruned good csets
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188 bads = '::bisect(bad)' # Pruned bad csets
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189 else:
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190 # Goods are topologically before bads
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191 goods = '::bisect(good)' # Pruned good csets
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192 bads = 'bisect(bad)::' # Pruned bad csets
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193
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194 # 'pruned' is all csets whose fate is already known: good, bad, skip
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195 skips = 'bisect(skip)' # Pruned skipped csets
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196 pruned = '( (%s) | (%s) | (%s) )' % (goods, bads, skips)
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197
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198 # 'untested' is all cset that are- in 'range', but not in 'pruned'
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199 untested = '( (%s) - (%s) )' % (range, pruned)
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200
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201 # 'ignored' is all csets that were not used during the bisection
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202 # due to DAG topology, but may however have had an impact.
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203 # E.g., a branch merged between bads and goods, but whose branch-
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204 # point is out-side of the range.
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205 iba = '::bisect(bad) - ::bisect(good)' # Ignored bads' ancestors
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206 iga = '::bisect(good) - ::bisect(bad)' # Ignored goods' ancestors
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207 ignored = '( ( (%s) | (%s) ) - (%s) )' % (iba, iga, range)
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208
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209 if status == 'range':
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210 return repo.revs(range)
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211 elif status == 'pruned':
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212 return repo.revs(pruned)
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213 elif status == 'untested':
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214 return repo.revs(untested)
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215 elif status == 'ignored':
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216 return repo.revs(ignored)
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217 elif status == "goods":
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218 return repo.revs(goods)
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219 elif status == "bads":
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220 return repo.revs(bads)
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221 else:
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222 raise error.ParseError(_('invalid bisect state'))
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223
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224 def label(repo, node):
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225 rev = repo.changelog.rev(node)
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226
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227 # Try explicit sets
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228 if rev in get(repo, 'good'):
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229 # i18n: bisect changeset status
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230 return _('good')
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231 if rev in get(repo, 'bad'):
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232 # i18n: bisect changeset status
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233 return _('bad')
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234 if rev in get(repo, 'skip'):
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235 # i18n: bisect changeset status
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236 return _('skipped')
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237 if rev in get(repo, 'untested') or rev in get(repo, 'current'):
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238 # i18n: bisect changeset status
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239 return _('untested')
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240 if rev in get(repo, 'ignored'):
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241 # i18n: bisect changeset status
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242 return _('ignored')
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243
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244 # Try implicit sets
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245 if rev in get(repo, 'goods'):
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246 # i18n: bisect changeset status
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247 return _('good (implicit)')
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248 if rev in get(repo, 'bads'):
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249 # i18n: bisect changeset status
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250 return _('bad (implicit)')
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251
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252 return None
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253
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254 def shortlabel(label):
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255 if label:
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256 return label[0].upper()
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257
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258 return None