annotate mercurial/setdiscovery.py @ 16534:11212babc690 stable

merge: check for untracked files more precisely (issue3400) This fixes the regression, but still leaves the long-standing issue that merge doesn't cope with trying to merge files and directories.
author Matt Mackall <mpm@selenic.com>
date Fri, 27 Apr 2012 13:18:09 -0500
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1 # setdiscovery.py - improved discovery of common nodeset for mercurial
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2 #
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3 # Copyright 2010 Benoit Boissinot <bboissin@gmail.com>
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4 # and Peter Arrenbrecht <peter@arrenbrecht.ch>
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5 #
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6 # This software may be used and distributed according to the terms of the
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7 # GNU General Public License version 2 or any later version.
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8
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9 from node import nullid
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10 from i18n import _
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11 import random, collections, util, dagutil
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12 import phases
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13
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14 def _updatesample(dag, nodes, sample, always, quicksamplesize=0):
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15 # if nodes is empty we scan the entire graph
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16 if nodes:
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17 heads = dag.headsetofconnecteds(nodes)
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18 else:
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19 heads = dag.heads()
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20 dist = {}
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21 visit = collections.deque(heads)
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22 seen = set()
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23 factor = 1
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24 while visit:
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25 curr = visit.popleft()
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26 if curr in seen:
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27 continue
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28 d = dist.setdefault(curr, 1)
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29 if d > factor:
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30 factor *= 2
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31 if d == factor:
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32 if curr not in always: # need this check for the early exit below
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33 sample.add(curr)
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34 if quicksamplesize and (len(sample) >= quicksamplesize):
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35 return
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36 seen.add(curr)
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37 for p in dag.parents(curr):
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38 if not nodes or p in nodes:
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39 dist.setdefault(p, d + 1)
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40 visit.append(p)
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41
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42 def _setupsample(dag, nodes, size):
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43 if len(nodes) <= size:
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44 return set(nodes), None, 0
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45 always = dag.headsetofconnecteds(nodes)
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46 desiredlen = size - len(always)
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47 if desiredlen <= 0:
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48 # This could be bad if there are very many heads, all unknown to the
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49 # server. We're counting on long request support here.
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50 return always, None, desiredlen
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51 return always, set(), desiredlen
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52
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53 def _takequicksample(dag, nodes, size, initial):
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54 always, sample, desiredlen = _setupsample(dag, nodes, size)
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55 if sample is None:
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56 return always
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57 if initial:
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58 fromset = None
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59 else:
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60 fromset = nodes
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61 _updatesample(dag, fromset, sample, always, quicksamplesize=desiredlen)
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62 sample.update(always)
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63 return sample
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64
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65 def _takefullsample(dag, nodes, size):
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66 always, sample, desiredlen = _setupsample(dag, nodes, size)
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67 if sample is None:
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68 return always
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69 # update from heads
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70 _updatesample(dag, nodes, sample, always)
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71 # update from roots
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72 _updatesample(dag.inverse(), nodes, sample, always)
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73 assert sample
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74 if len(sample) > desiredlen:
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75 sample = set(random.sample(sample, desiredlen))
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76 elif len(sample) < desiredlen:
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77 more = desiredlen - len(sample)
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78 sample.update(random.sample(list(nodes - sample - always), more))
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79 sample.update(always)
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80 return sample
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81
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82 def findcommonheads(ui, local, remote,
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83 initialsamplesize=100,
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84 fullsamplesize=200,
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85 abortwhenunrelated=True):
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86 '''Return a tuple (common, anyincoming, remoteheads) used to identify
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87 missing nodes from or in remote.
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88
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89 shortcutlocal determines whether we try use direct access to localrepo if
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90 remote is actually local.
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91 '''
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92 roundtrips = 0
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93 cl = local.changelog
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94 dag = dagutil.revlogdag(cl)
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95
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96 # early exit if we know all the specified remote heads already
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97 ui.debug("query 1; heads\n")
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98 roundtrips += 1
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99 ownheads = dag.heads()
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100 sample = ownheads
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101 if remote.local():
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102 # stopgap until we have a proper localpeer that supports batch()
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103 srvheadhashes = phases.visibleheads(remote)
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104 yesno = remote.known(dag.externalizeall(sample))
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105 elif remote.capable('batch'):
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106 batch = remote.batch()
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107 srvheadhashesref = batch.heads()
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108 yesnoref = batch.known(dag.externalizeall(sample))
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109 batch.submit()
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110 srvheadhashes = srvheadhashesref.value
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111 yesno = yesnoref.value
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112 else:
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113 # compatibitity with pre-batch, but post-known remotes during 1.9 devel
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114 srvheadhashes = remote.heads()
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115 sample = []
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116
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117 if cl.tip() == nullid:
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118 if srvheadhashes != [nullid]:
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119 return [nullid], True, srvheadhashes
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120 return [nullid], False, []
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121
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122 # start actual discovery (we note this before the next "if" for
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123 # compatibility reasons)
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124 ui.status(_("searching for changes\n"))
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125
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126 srvheads = dag.internalizeall(srvheadhashes, filterunknown=True)
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127 if len(srvheads) == len(srvheadhashes):
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128 ui.debug("all remote heads known locally\n")
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129 return (srvheadhashes, False, srvheadhashes,)
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130
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131 if sample and util.all(yesno):
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132 ui.note(_("all local heads known remotely\n"))
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133 ownheadhashes = dag.externalizeall(ownheads)
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134 return (ownheadhashes, True, srvheadhashes,)
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135
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136 # full blown discovery
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137 undecided = dag.nodeset() # own nodes where I don't know if remote knows them
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138 common = set() # own nodes I know we both know
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139 missing = set() # own nodes I know remote lacks
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140
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141 # treat remote heads (and maybe own heads) as a first implicit sample response
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142 common.update(dag.ancestorset(srvheads))
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143 undecided.difference_update(common)
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144
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145 full = False
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146 while undecided:
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147
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148 if sample:
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149 commoninsample = set(n for i, n in enumerate(sample) if yesno[i])
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150 common.update(dag.ancestorset(commoninsample, common))
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151
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152 missinginsample = [n for i, n in enumerate(sample) if not yesno[i]]
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153 missing.update(dag.descendantset(missinginsample, missing))
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154
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155 undecided.difference_update(missing)
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156 undecided.difference_update(common)
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157
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158 if not undecided:
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159 break
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160
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161 if full:
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162 ui.note(_("sampling from both directions\n"))
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163 sample = _takefullsample(dag, undecided, size=fullsamplesize)
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164 elif common:
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165 # use cheapish initial sample
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166 ui.debug("taking initial sample\n")
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167 sample = _takefullsample(dag, undecided, size=fullsamplesize)
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168 else:
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169 # use even cheaper initial sample
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170 ui.debug("taking quick initial sample\n")
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171 sample = _takequicksample(dag, undecided, size=initialsamplesize,
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172 initial=True)
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173
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174 roundtrips += 1
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175 ui.progress(_('searching'), roundtrips, unit=_('queries'))
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176 ui.debug("query %i; still undecided: %i, sample size is: %i\n"
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177 % (roundtrips, len(undecided), len(sample)))
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178 # indices between sample and externalized version must match
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179 sample = list(sample)
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180 yesno = remote.known(dag.externalizeall(sample))
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181 full = True
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182
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183 result = dag.headsetofconnecteds(common)
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184 ui.progress(_('searching'), None)
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185 ui.debug("%d total queries\n" % roundtrips)
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186
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187 if not result and srvheadhashes != [nullid]:
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188 if abortwhenunrelated:
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189 raise util.Abort(_("repository is unrelated"))
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190 else:
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191 ui.warn(_("warning: repository is unrelated\n"))
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192 return (set([nullid]), True, srvheadhashes,)
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193
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194 anyincoming = (srvheadhashes != [nullid])
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195 return dag.externalizeall(result), anyincoming, srvheadhashes