annotate mercurial/hbisect.py @ 25466:007a1d53f7c3

scmutil: use the optional badfn argument when building a matcher
author Matt Harbison <matt_harbison@yahoo.com>
date Fri, 05 Jun 2015 19:07:54 -0400
parents 0ca8410ea345
children f0ad094db832
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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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 collections
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12 import os
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13 import error
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14 from i18n import _
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15 from node import short, hex
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16 import util
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17
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18 def bisect(changelog, state):
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19 """find the next node (if any) for testing during a bisect search.
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20 returns a (nodes, number, good) tuple.
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21
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22 'nodes' is the final result of the bisect if 'number' is 0.
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23 Otherwise 'number' indicates the remaining possible candidates for
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24 the search and 'nodes' contains the next bisect target.
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25 'good' is True if bisect is searching for a first good changeset, False
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26 if searching for a first bad one.
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27 """
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28
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29 clparents = changelog.parentrevs
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30 skip = set([changelog.rev(n) for n in state['skip']])
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31
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32 def buildancestors(bad, good):
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33 # only the earliest bad revision matters
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34 badrev = min([changelog.rev(n) for n in bad])
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35 goodrevs = [changelog.rev(n) for n in good]
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36 goodrev = min(goodrevs)
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37 # build visit array
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38 ancestors = [None] * (len(changelog) + 1) # an extra for [-1]
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39
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40 # set nodes descended from goodrevs
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41 for rev in goodrevs:
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42 ancestors[rev] = []
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43 for rev in changelog.revs(goodrev + 1):
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44 for prev in clparents(rev):
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45 if ancestors[prev] == []:
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46 ancestors[rev] = []
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47
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48 # clear good revs from array
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49 for rev in goodrevs:
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50 ancestors[rev] = None
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51 for rev in changelog.revs(len(changelog), goodrev):
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52 if ancestors[rev] is None:
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53 for prev in clparents(rev):
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54 ancestors[prev] = None
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55
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56 if ancestors[badrev] is None:
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57 return badrev, None
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58 return badrev, ancestors
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59
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60 good = False
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61 badrev, ancestors = buildancestors(state['bad'], state['good'])
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62 if not ancestors: # looking for bad to good transition?
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63 good = True
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64 badrev, ancestors = buildancestors(state['good'], state['bad'])
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65 bad = changelog.node(badrev)
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66 if not ancestors: # now we're confused
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67 if (len(state['bad']) == 1 and len(state['good']) == 1 and
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68 state['bad'] != state['good']):
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69 raise util.Abort(_("starting revisions are not directly related"))
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70 raise util.Abort(_("inconsistent state, %s:%s is good and bad")
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71 % (badrev, short(bad)))
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72
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73 # build children dict
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74 children = {}
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75 visit = collections.deque([badrev])
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76 candidates = []
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77 while visit:
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78 rev = visit.popleft()
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79 if ancestors[rev] == []:
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80 candidates.append(rev)
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81 for prev in clparents(rev):
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82 if prev != -1:
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83 if prev in children:
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84 children[prev].append(rev)
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85 else:
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86 children[prev] = [rev]
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87 visit.append(prev)
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88
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89 candidates.sort()
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90 # have we narrowed it down to one entry?
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91 # or have all other possible candidates besides 'bad' have been skipped?
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92 tot = len(candidates)
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93 unskipped = [c for c in candidates if (c not in skip) and (c != badrev)]
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94 if tot == 1 or not unskipped:
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95 return ([changelog.node(rev) for rev in candidates], 0, good)
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96 perfect = tot // 2
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97
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98 # find the best node to test
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99 best_rev = None
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100 best_len = -1
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101 poison = set()
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102 for rev in candidates:
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103 if rev in poison:
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104 # poison children
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105 poison.update(children.get(rev, []))
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106 continue
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107
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108 a = ancestors[rev] or [rev]
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109 ancestors[rev] = None
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110
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111 x = len(a) # number of ancestors
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112 y = tot - x # number of non-ancestors
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113 value = min(x, y) # how good is this test?
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114 if value > best_len and rev not in skip:
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115 best_len = value
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116 best_rev = rev
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117 if value == perfect: # found a perfect candidate? quit early
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118 break
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119
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120 if y < perfect and rev not in skip: # all downhill from here?
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121 # poison children
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122 poison.update(children.get(rev, []))
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123 continue
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124
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125 for c in children.get(rev, []):
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126 if ancestors[c]:
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127 ancestors[c] = list(set(ancestors[c] + a))
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128 else:
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129 ancestors[c] = a + [c]
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130
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131 assert best_rev is not None
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132 best_node = changelog.node(best_rev)
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133
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134 return ([best_node], tot, good)
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135
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136
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137 def load_state(repo):
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138 state = {'current': [], 'good': [], 'bad': [], 'skip': []}
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139 if os.path.exists(repo.join("bisect.state")):
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140 for l in repo.vfs("bisect.state"):
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141 kind, node = l[:-1].split()
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142 node = repo.lookup(node)
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143 if kind not in state:
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144 raise util.Abort(_("unknown bisect kind %s") % kind)
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145 state[kind].append(node)
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146 return state
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147
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148
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149 def save_state(repo, state):
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150 f = repo.vfs("bisect.state", "w", atomictemp=True)
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151 wlock = repo.wlock()
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152 try:
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153 for kind in sorted(state):
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154 for node in state[kind]:
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155 f.write("%s %s\n" % (kind, hex(node)))
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156 f.close()
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157 finally:
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158 wlock.release()
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159
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160 def get(repo, status):
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161 """
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162 Return a list of revision(s) that match the given status:
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163
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164 - ``good``, ``bad``, ``skip``: csets explicitly marked as good/bad/skip
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165 - ``goods``, ``bads`` : csets topologically good/bad
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166 - ``range`` : csets taking part in the bisection
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167 - ``pruned`` : csets that are goods, bads or skipped
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168 - ``untested`` : csets whose fate is yet unknown
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169 - ``ignored`` : csets ignored due to DAG topology
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170 - ``current`` : the cset currently being bisected
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171 """
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172 state = load_state(repo)
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173 if status in ('good', 'bad', 'skip', 'current'):
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174 return map(repo.changelog.rev, state[status])
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175 else:
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176 # In the following sets, we do *not* call 'bisect()' with more
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177 # than one level of recursion, because that can be very, very
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178 # time consuming. Instead, we always develop the expression as
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179 # much as possible.
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180
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181 # 'range' is all csets that make the bisection:
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182 # - have a good ancestor and a bad descendant, or conversely
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183 # that's because the bisection can go either way
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184 range = '( bisect(bad)::bisect(good) | bisect(good)::bisect(bad) )'
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185
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186 _t = repo.revs('bisect(good)::bisect(bad)')
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187 # The sets of topologically good or bad csets
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188 if len(_t) == 0:
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189 # Goods are topologically after bads
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190 goods = 'bisect(good)::' # Pruned good csets
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191 bads = '::bisect(bad)' # Pruned bad csets
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192 else:
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193 # Goods are topologically before bads
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194 goods = '::bisect(good)' # Pruned good csets
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195 bads = 'bisect(bad)::' # Pruned bad csets
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196
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197 # 'pruned' is all csets whose fate is already known: good, bad, skip
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198 skips = 'bisect(skip)' # Pruned skipped csets
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199 pruned = '( (%s) | (%s) | (%s) )' % (goods, bads, skips)
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200
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201 # 'untested' is all cset that are- in 'range', but not in 'pruned'
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202 untested = '( (%s) - (%s) )' % (range, pruned)
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203
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204 # 'ignored' is all csets that were not used during the bisection
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205 # due to DAG topology, but may however have had an impact.
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206 # E.g., a branch merged between bads and goods, but whose branch-
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207 # point is out-side of the range.
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208 iba = '::bisect(bad) - ::bisect(good)' # Ignored bads' ancestors
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209 iga = '::bisect(good) - ::bisect(bad)' # Ignored goods' ancestors
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210 ignored = '( ( (%s) | (%s) ) - (%s) )' % (iba, iga, range)
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211
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212 if status == 'range':
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213 return repo.revs(range)
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214 elif status == 'pruned':
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215 return repo.revs(pruned)
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216 elif status == 'untested':
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217 return repo.revs(untested)
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218 elif status == 'ignored':
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219 return repo.revs(ignored)
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220 elif status == "goods":
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221 return repo.revs(goods)
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222 elif status == "bads":
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223 return repo.revs(bads)
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224 else:
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225 raise error.ParseError(_('invalid bisect state'))
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226
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227 def label(repo, node):
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228 rev = repo.changelog.rev(node)
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229
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230 # Try explicit sets
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231 if rev in get(repo, 'good'):
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232 # i18n: bisect changeset status
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233 return _('good')
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234 if rev in get(repo, 'bad'):
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235 # i18n: bisect changeset status
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236 return _('bad')
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237 if rev in get(repo, 'skip'):
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238 # i18n: bisect changeset status
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239 return _('skipped')
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240 if rev in get(repo, 'untested') or rev in get(repo, 'current'):
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241 # i18n: bisect changeset status
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242 return _('untested')
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243 if rev in get(repo, 'ignored'):
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244 # i18n: bisect changeset status
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245 return _('ignored')
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246
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247 # Try implicit sets
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248 if rev in get(repo, 'goods'):
15308
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249 # i18n: bisect changeset status
15154
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250 return _('good (implicit)')
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251 if rev in get(repo, 'bads'):
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252 # i18n: bisect changeset status
15154
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253 return _('bad (implicit)')
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254
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255 return None
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256
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257 def shortlabel(label):
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258 if label:
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259 return label[0].upper()
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260
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261 return None