annotate mercurial/ancestor.py @ 23334:59e6e5dd3605

ancestor.missingancestors: turn into a state-keeping class This allows multiple efficient missing ancestor queries against the same set of bases. In upcoming patches we'll also define ways to grow the set of bases. The fact that the test output hasn't changed establishes this patch's correctness.
author Siddharth Agarwal <sid0@fb.com>
date Fri, 14 Nov 2014 23:44:38 -0800
parents 9a2489015592
children 5c3a29be8fae
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1 # ancestor.py - generic DAG ancestor algorithm for mercurial
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2 #
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3 # Copyright 2006 Matt Mackall <mpm@selenic.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 import heapq
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9 import util
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10 from node import nullrev
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11
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12 def commonancestorsheads(pfunc, *nodes):
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13 """Returns a set with the heads of all common ancestors of all nodes,
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14 heads(::nodes[0] and ::nodes[1] and ...) .
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15
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16 pfunc must return a list of parent vertices for a given vertex.
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17 """
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18 if not isinstance(nodes, set):
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19 nodes = set(nodes)
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20 if nullrev in nodes:
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21 return set()
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22 if len(nodes) <= 1:
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23 return nodes
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24
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25 allseen = (1 << len(nodes)) - 1
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26 seen = [0] * (max(nodes) + 1)
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27 for i, n in enumerate(nodes):
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28 seen[n] = 1 << i
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29 poison = 1 << (i + 1)
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30
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31 gca = set()
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32 interesting = len(nodes)
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33 nv = len(seen) - 1
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34 while nv >= 0 and interesting:
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35 v = nv
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36 nv -= 1
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37 if not seen[v]:
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38 continue
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39 sv = seen[v]
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40 if sv < poison:
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41 interesting -= 1
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42 if sv == allseen:
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43 gca.add(v)
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44 sv |= poison
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45 if v in nodes:
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46 # history is linear
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47 return set([v])
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48 if sv < poison:
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49 for p in pfunc(v):
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50 sp = seen[p]
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51 if p == nullrev:
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52 continue
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53 if sp == 0:
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54 seen[p] = sv
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55 interesting += 1
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56 elif sp != sv:
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57 seen[p] |= sv
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58 else:
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59 for p in pfunc(v):
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60 if p == nullrev:
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61 continue
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62 sp = seen[p]
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63 if sp and sp < poison:
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64 interesting -= 1
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65 seen[p] = sv
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66 return gca
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67
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68 def ancestors(pfunc, *orignodes):
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69 """
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70 Returns the common ancestors of a and b that are furthest from a
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71 root (as measured by longest path).
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72
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73 pfunc must return a list of parent vertices for a given vertex.
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74 """
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75 def deepest(nodes):
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76 interesting = {}
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77 count = max(nodes) + 1
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78 depth = [0] * count
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79 seen = [0] * count
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80 mapping = []
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81 for (i, n) in enumerate(sorted(nodes)):
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82 depth[n] = 1
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83 b = 1 << i
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84 seen[n] = b
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85 interesting[b] = 1
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86 mapping.append((b, n))
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87 nv = count - 1
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88 while nv >= 0 and len(interesting) > 1:
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89 v = nv
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90 nv -= 1
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91 dv = depth[v]
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92 if dv == 0:
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93 continue
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94 sv = seen[v]
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95 for p in pfunc(v):
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96 if p == nullrev:
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97 continue
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98 dp = depth[p]
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99 nsp = sp = seen[p]
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100 if dp <= dv:
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101 depth[p] = dv + 1
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102 if sp != sv:
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103 interesting[sv] += 1
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104 nsp = seen[p] = sv
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105 if sp:
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106 interesting[sp] -= 1
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107 if interesting[sp] == 0:
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108 del interesting[sp]
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109 elif dv == dp - 1:
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110 nsp = sp | sv
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111 if nsp == sp:
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112 continue
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113 seen[p] = nsp
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114 interesting.setdefault(nsp, 0)
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115 interesting[nsp] += 1
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116 interesting[sp] -= 1
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117 if interesting[sp] == 0:
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118 del interesting[sp]
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119 interesting[sv] -= 1
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120 if interesting[sv] == 0:
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121 del interesting[sv]
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122
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123 if len(interesting) != 1:
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124 return []
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125
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126 k = 0
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127 for i in interesting:
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128 k |= i
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129 return set(n for (i, n) in mapping if k & i)
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130
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131 gca = commonancestorsheads(pfunc, *orignodes)
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132
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133 if len(gca) <= 1:
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134 return gca
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135 return deepest(gca)
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136
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137 class incrementalmissingancestors(object):
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138 '''persistent state used to calculate missing ancestors incrementally
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139
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140 Although similar in spirit to lazyancestors below, this is a separate class
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141 because trying to support contains and missingancestors operations with the
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142 same internal data structures adds needless complexity.'''
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143 def __init__(self, pfunc, bases):
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144 self.bases = set(bases)
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145 if not self.bases:
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146 self.bases.add(nullrev)
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147 self.pfunc = pfunc
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148
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149 def missingancestors(self, revs):
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150 '''return all the ancestors of revs that are not ancestors of self.bases
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151
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152 This may include elements from revs.
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153
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154 Equivalent to the revset (::revs - ::self.bases). Revs are returned in
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155 revision number order, which is a topological order.'''
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156 revsvisit = set(revs)
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157 basesvisit = self.bases
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158 pfunc = self.pfunc
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159 bothvisit = revsvisit.intersection(basesvisit)
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160 revsvisit.difference_update(bothvisit)
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161 if not revsvisit:
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162 return []
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163
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164 start = max(max(revsvisit), max(basesvisit))
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165 # At this point, we hold the invariants that:
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166 # - revsvisit is the set of nodes we know are an ancestor of at least
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167 # one of the nodes in revs
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168 # - basesvisit is the same for bases
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169 # - bothvisit is the set of nodes we know are ancestors of at least one
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170 # of the nodes in revs and one of the nodes in bases. bothvisit and
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171 # revsvisit are mutually exclusive, but bothvisit is a subset of
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172 # basesvisit.
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173 # Now we walk down in reverse topo order, adding parents of nodes
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174 # already visited to the sets while maintaining the invariants. When a
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175 # node is found in both revsvisit and basesvisit, it is removed from
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176 # revsvisit and added to bothvisit. When revsvisit becomes empty, there
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177 # are no more ancestors of revs that aren't also ancestors of bases, so
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178 # exit.
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179
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180 missing = []
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181 for curr in xrange(start, nullrev, -1):
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182 if not revsvisit:
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183 break
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184
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185 if curr in bothvisit:
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186 bothvisit.remove(curr)
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187 # curr's parents might have made it into revsvisit through
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188 # another path
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189 for p in pfunc(curr):
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190 revsvisit.discard(p)
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191 basesvisit.add(p)
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192 bothvisit.add(p)
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193 continue
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194
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195 if curr in revsvisit:
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196 missing.append(curr)
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197 revsvisit.remove(curr)
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198 thisvisit = revsvisit
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199 othervisit = basesvisit
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200 elif curr in basesvisit:
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201 thisvisit = basesvisit
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202 othervisit = revsvisit
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203 else:
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204 # not an ancestor of revs or bases: ignore
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205 continue
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206
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207 for p in pfunc(curr):
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208 if p == nullrev:
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209 pass
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210 elif p in othervisit or p in bothvisit:
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211 # p is implicitly in thisvisit. This means p is or should be
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212 # in bothvisit
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213 revsvisit.discard(p)
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214 basesvisit.add(p)
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215 bothvisit.add(p)
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216 else:
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217 # visit later
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218 thisvisit.add(p)
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219
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220 missing.reverse()
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221 return missing
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222
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223 def missingancestors(revs, bases, pfunc):
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224 inc = incrementalmissingancestors(pfunc, bases)
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225 return inc.missingancestors(revs)
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226
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227 class lazyancestors(object):
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228 def __init__(self, pfunc, revs, stoprev=0, inclusive=False):
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229 """Create a new object generating ancestors for the given revs. Does
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230 not generate revs lower than stoprev.
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231
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232 This is computed lazily starting from revs. The object supports
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233 iteration and membership.
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234
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235 cl should be a changelog and revs should be an iterable. inclusive is
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236 a boolean that indicates whether revs should be included. Revs lower
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237 than stoprev will not be generated.
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238
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239 Result does not include the null revision."""
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240 self._parentrevs = pfunc
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241 self._initrevs = revs
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242 self._stoprev = stoprev
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243 self._inclusive = inclusive
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244
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245 # Initialize data structures for __contains__.
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246 # For __contains__, we use a heap rather than a deque because
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247 # (a) it minimizes the number of parentrevs calls made
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248 # (b) it makes the loop termination condition obvious
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249 # Python's heap is a min-heap. Multiply all values by -1 to convert it
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250 # into a max-heap.
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251 self._containsvisit = [-rev for rev in revs]
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252 heapq.heapify(self._containsvisit)
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253 if inclusive:
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254 self._containsseen = set(revs)
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255 else:
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256 self._containsseen = set()
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257
22225
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258 def __nonzero__(self):
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259 """False if the set is empty, True otherwise."""
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260 try:
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261 iter(self).next()
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262 return True
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263 except StopIteration:
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264 return False
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265
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266 def __iter__(self):
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267 """Generate the ancestors of _initrevs in reverse topological order.
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268
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269 If inclusive is False, yield a sequence of revision numbers starting
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270 with the parents of each revision in revs, i.e., each revision is *not*
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271 considered an ancestor of itself. Results are in breadth-first order:
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272 parents of each rev in revs, then parents of those, etc.
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273
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274 If inclusive is True, yield all the revs first (ignoring stoprev),
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275 then yield all the ancestors of revs as when inclusive is False.
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276 If an element in revs is an ancestor of a different rev it is not
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277 yielded again."""
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278 seen = set()
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279 revs = self._initrevs
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280 if self._inclusive:
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281 for rev in revs:
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282 yield rev
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283 seen.update(revs)
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284
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285 parentrevs = self._parentrevs
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286 stoprev = self._stoprev
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287 visit = util.deque(revs)
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288
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289 while visit:
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290 for parent in parentrevs(visit.popleft()):
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291 if parent >= stoprev and parent not in seen:
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292 visit.append(parent)
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293 seen.add(parent)
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294 yield parent
18091
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295
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296 def __contains__(self, target):
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297 """Test whether target is an ancestor of self._initrevs."""
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298 # Trying to do both __iter__ and __contains__ using the same visit
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299 # heap and seen set is complex enough that it slows down both. Keep
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300 # them separate.
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301 seen = self._containsseen
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302 if target in seen:
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303 return True
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304
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305 parentrevs = self._parentrevs
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306 visit = self._containsvisit
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307 stoprev = self._stoprev
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308 heappop = heapq.heappop
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309 heappush = heapq.heappush
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310
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311 targetseen = False
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312
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313 while visit and -visit[0] > target and not targetseen:
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314 for parent in parentrevs(-heappop(visit)):
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315 if parent < stoprev or parent in seen:
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316 continue
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317 # We need to make sure we push all parents into the heap so
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318 # that we leave it in a consistent state for future calls.
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319 heappush(visit, -parent)
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320 seen.add(parent)
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321 if parent == target:
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322 targetseen = True
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323
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324 return targetseen