Mercurial > public > mercurial-scm > hg
annotate mercurial/ancestor.py @ 18986:2f7186400a07
ancestor: a new algorithm that is faster for nodes near tip
Instead of walking all the way to the root of the DAG, we generate
a set of candidate GCA revs, then figure out which ones will win
the race to the root (usually without needing to traverse all the
way to the root).
In the common case of nodes that are close to each other in both
revision number and topology, this is usually a big win: it makes
"hg --time debugancestors" up to 9 times faster than the more general
ancestor function when measured on heads of the linux-2.6 hg repo.
Victory is not assured, however. The older function can still win
by a large margin if one node is much closer to the root than the
other, or by a much smaller amount if one is an ancestor of the
other.
For now, we've also got a small paranoid harness function that calls
both ancestor functions on every input and ensures that they give
equivalent answers.
Even without the checker function, the old ancestor function needs
to stay alive for the time being, as its generality is used by
context.filectx.merge.
author | Bryan O'Sullivan <bryano@fb.com> |
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date | Tue, 16 Apr 2013 10:08:18 -0700 |
parents | f7f8159caad3 |
children | 3605d4e7e618 |
rev | line source |
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Abstract ancestor algorithm into generic function
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1 # ancestor.py - generic DAG ancestor algorithm for mercurial |
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Abstract ancestor algorithm into generic function
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2 # |
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Abstract ancestor algorithm into generic function
Matt Mackall <mpm@selenic.com>
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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 |
10263 | 6 # GNU General Public License version 2 or any later version. |
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7 |
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8 import error, heapq, util |
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9 from node import nullrev |
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10 |
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11 def ancestors(pfunc, *orignodes): |
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12 """ |
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13 Returns the common ancestors of a and b that are furthest from a |
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14 root (as measured by longest path). |
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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(orignodes, set): |
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19 orignodes = set(orignodes) |
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20 if nullrev in orignodes: |
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21 return set() |
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22 if len(orignodes) <= 1: |
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23 return orignodes |
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24 |
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25 def candidates(nodes): |
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26 allseen = (1 << len(nodes)) - 1 |
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27 seen = [0] * (max(nodes) + 1) |
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28 for i, n in enumerate(nodes): |
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29 seen[n] = 1 << i |
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30 poison = 1 << (i + 1) |
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31 |
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32 gca = set() |
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33 interesting = left = len(nodes) |
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34 nv = len(seen) - 1 |
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35 while nv >= 0 and interesting: |
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36 v = nv |
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37 nv -= 1 |
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38 if not seen[v]: |
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39 continue |
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40 sv = seen[v] |
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41 if sv < poison: |
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42 interesting -= 1 |
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43 if sv == allseen: |
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44 gca.add(v) |
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45 sv |= poison |
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46 if v in nodes: |
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47 left -= 1 |
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48 if left <= 1: |
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49 # history is linear |
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50 return set([v]) |
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51 if sv < poison: |
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52 for p in pfunc(v): |
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53 sp = seen[p] |
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54 if p == nullrev: |
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55 continue |
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56 if sp == 0: |
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57 seen[p] = sv |
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58 interesting += 1 |
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59 elif sp != sv: |
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60 seen[p] |= sv |
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61 else: |
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62 for p in pfunc(v): |
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63 if p == nullrev: |
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64 continue |
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65 sp = seen[p] |
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66 if sp and sp < poison: |
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67 interesting -= 1 |
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68 seen[p] = sv |
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69 return gca |
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70 |
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71 def deepest(nodes): |
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72 interesting = {} |
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73 count = max(nodes) + 1 |
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74 depth = [0] * count |
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75 seen = [0] * count |
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76 mapping = [] |
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77 for (i, n) in enumerate(sorted(nodes)): |
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78 depth[n] = 1 |
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79 b = 1 << i |
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80 seen[n] = b |
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81 interesting[b] = 1 |
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82 mapping.append((b, n)) |
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83 nv = count - 1 |
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84 while nv >= 0 and len(interesting) > 1: |
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85 v = nv |
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86 nv -= 1 |
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87 dv = depth[v] |
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88 if dv == 0: |
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89 continue |
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90 sv = seen[v] |
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91 for p in pfunc(v): |
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92 if p == nullrev: |
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93 continue |
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94 dp = depth[p] |
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95 nsp = sp = seen[p] |
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96 if dp <= dv: |
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97 depth[p] = dv + 1 |
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98 if sp != sv: |
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99 interesting[sv] += 1 |
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100 nsp = seen[p] = sv |
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101 if sp: |
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102 interesting[sp] -= 1 |
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103 if interesting[sp] == 0: |
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104 del interesting[sp] |
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105 elif dv == dp - 1: |
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106 nsp = sp | sv |
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107 if nsp == sp: |
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108 continue |
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109 seen[p] = nsp |
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110 interesting.setdefault(nsp, 0) |
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111 interesting[nsp] += 1 |
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112 interesting[sp] -= 1 |
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113 if interesting[sp] == 0: |
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114 del interesting[sp] |
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115 interesting[sv] -= 1 |
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116 if interesting[sv] == 0: |
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117 del interesting[sv] |
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118 |
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119 if len(interesting) != 1: |
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120 return [] |
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121 |
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122 k = 0 |
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123 for i in interesting: |
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124 k |= i |
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125 return set(n for (i, n) in mapping if k & i) |
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126 |
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127 gca = candidates(orignodes) |
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128 |
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129 if len(gca) <= 1: |
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130 return gca |
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131 return deepest(gca) |
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132 |
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133 def genericancestor(a, b, pfunc): |
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134 """ |
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135 Returns the common ancestor of a and b that is furthest from a |
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136 root (as measured by longest path) or None if no ancestor is |
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137 found. If there are multiple common ancestors at the same |
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138 distance, the first one found is returned. |
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139 |
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140 pfunc must return a list of parent vertices for a given vertex |
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141 """ |
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142 |
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143 if a == b: |
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144 return a |
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145 |
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146 a, b = sorted([a, b]) |
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147 |
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148 # find depth from root of all ancestors |
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149 # depth is stored as a negative for heapq |
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150 parentcache = {} |
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151 visit = [a, b] |
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152 depth = {} |
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153 while visit: |
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154 vertex = visit[-1] |
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155 pl = [p for p in pfunc(vertex) if p != nullrev] |
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156 parentcache[vertex] = pl |
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157 if not pl: |
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158 depth[vertex] = 0 |
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159 visit.pop() |
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160 else: |
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161 for p in pl: |
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162 if p == a or p == b: # did we find a or b as a parent? |
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163 return p # we're done |
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164 if p not in depth: |
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165 visit.append(p) |
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166 if visit[-1] == vertex: |
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167 # -(maximum distance of parents + 1) |
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168 depth[vertex] = min([depth[p] for p in pl]) - 1 |
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169 visit.pop() |
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170 |
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171 # traverse ancestors in order of decreasing distance from root |
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172 def ancestors(vertex): |
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173 h = [(depth[vertex], vertex)] |
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174 seen = set() |
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175 while h: |
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176 d, n = heapq.heappop(h) |
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177 if n not in seen: |
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178 seen.add(n) |
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179 yield (d, n) |
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180 for p in parentcache[n]: |
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181 heapq.heappush(h, (depth[p], p)) |
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182 |
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183 def generations(vertex): |
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184 sg, s = None, set() |
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185 for g, v in ancestors(vertex): |
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186 if g != sg: |
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187 if sg: |
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188 yield sg, s |
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189 sg, s = g, set((v,)) |
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190 else: |
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191 s.add(v) |
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192 yield sg, s |
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193 |
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194 x = generations(a) |
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195 y = generations(b) |
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196 gx = x.next() |
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197 gy = y.next() |
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198 |
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199 # increment each ancestor list until it is closer to root than |
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200 # the other, or they match |
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201 try: |
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202 while True: |
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203 if gx[0] == gy[0]: |
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204 for v in gx[1]: |
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205 if v in gy[1]: |
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206 return v |
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207 gy = y.next() |
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208 gx = x.next() |
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209 elif gx[0] > gy[0]: |
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210 gy = y.next() |
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211 else: |
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212 gx = x.next() |
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213 except StopIteration: |
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214 return None |
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215 |
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216 def finddepths(nodes, pfunc): |
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217 visit = list(nodes) |
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218 rootpl = [nullrev, nullrev] |
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219 depth = {} |
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220 while visit: |
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221 vertex = visit[-1] |
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222 pl = pfunc(vertex) |
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223 if not pl or pl == rootpl: |
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224 depth[vertex] = 0 |
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225 visit.pop() |
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226 else: |
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227 for p in pl: |
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228 if p != nullrev and p not in depth: |
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229 visit.append(p) |
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230 if visit[-1] == vertex: |
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231 dp = [depth[p] for p in pl if p != nullrev] |
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232 if dp: |
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233 depth[vertex] = max(dp) + 1 |
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234 else: |
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235 depth[vertex] = 0 |
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236 visit.pop() |
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237 return depth |
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238 |
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239 def ancestor(a, b, pfunc): |
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240 xs = ancestors(pfunc, a, b) |
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241 y = genericancestor(a, b, pfunc) |
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242 if y == -1: |
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243 y = None |
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244 if not xs: |
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245 if y is None: |
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246 return None |
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247 print xs, y |
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248 raise error.RepoError('ancestors disagree on whether a gca exists') |
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249 elif y is None: |
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250 print xs, y |
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251 raise error.RepoError('ancestors disagree on whether a gca exists') |
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252 if y in xs: |
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253 return y |
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254 xds = finddepths(xs, pfunc) |
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255 xds = [ds[x] for x in xs] |
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256 yd = finddepths([y], pfunc)[y] |
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257 if len([xd != yd for xd in xds]) > 0: |
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258 raise error.RepoError('ancestor depths do not match') |
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259 return xs.pop() |
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260 |
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261 def missingancestors(revs, bases, pfunc): |
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262 """Return all the ancestors of revs that are not ancestors of bases. |
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263 |
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264 This may include elements from revs. |
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265 |
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266 Equivalent to the revset (::revs - ::bases). Revs are returned in |
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267 revision number order, which is a topological order. |
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268 |
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269 revs and bases should both be iterables. pfunc must return a list of |
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270 parent revs for a given revs. |
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271 """ |
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272 |
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273 revsvisit = set(revs) |
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274 basesvisit = set(bases) |
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275 if not revsvisit: |
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276 return [] |
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277 if not basesvisit: |
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278 basesvisit.add(nullrev) |
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279 start = max(max(revsvisit), max(basesvisit)) |
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280 bothvisit = revsvisit.intersection(basesvisit) |
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281 revsvisit.difference_update(bothvisit) |
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282 basesvisit.difference_update(bothvisit) |
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283 # At this point, we hold the invariants that: |
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284 # - revsvisit is the set of nodes we know are an ancestor of at least one |
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285 # of the nodes in revs |
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286 # - basesvisit is the same for bases |
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287 # - bothvisit is the set of nodes we know are ancestors of at least one of |
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288 # the nodes in revs and one of the nodes in bases |
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289 # - a node may be in none or one, but not more, of revsvisit, basesvisit |
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290 # and bothvisit at any given time |
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291 # Now we walk down in reverse topo order, adding parents of nodes already |
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292 # visited to the sets while maintaining the invariants. When a node is |
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293 # found in both revsvisit and basesvisit, it is removed from them and |
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294 # added to bothvisit instead. When revsvisit becomes empty, there are no |
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295 # more ancestors of revs that aren't also ancestors of bases, so exit. |
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296 |
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297 missing = [] |
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298 for curr in xrange(start, nullrev, -1): |
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299 if not revsvisit: |
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300 break |
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301 |
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302 if curr in bothvisit: |
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303 bothvisit.remove(curr) |
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304 # curr's parents might have made it into revsvisit or basesvisit |
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305 # through another path |
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306 for p in pfunc(curr): |
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307 revsvisit.discard(p) |
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308 basesvisit.discard(p) |
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309 bothvisit.add(p) |
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310 continue |
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311 |
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312 # curr will never be in both revsvisit and basesvisit, since if it |
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313 # were it'd have been pushed to bothvisit |
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314 if curr in revsvisit: |
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315 missing.append(curr) |
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316 thisvisit = revsvisit |
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317 othervisit = basesvisit |
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318 elif curr in basesvisit: |
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319 thisvisit = basesvisit |
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320 othervisit = revsvisit |
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321 else: |
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322 # not an ancestor of revs or bases: ignore |
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323 continue |
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324 |
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325 thisvisit.remove(curr) |
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326 for p in pfunc(curr): |
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327 if p == nullrev: |
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328 pass |
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329 elif p in othervisit or p in bothvisit: |
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330 # p is implicitly in thisvisit. This means p is or should be |
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331 # in bothvisit |
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332 revsvisit.discard(p) |
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333 basesvisit.discard(p) |
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334 bothvisit.add(p) |
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335 else: |
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336 # visit later |
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337 thisvisit.add(p) |
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338 |
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339 missing.reverse() |
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340 return missing |
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341 |
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342 class lazyancestors(object): |
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343 def __init__(self, cl, revs, stoprev=0, inclusive=False): |
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344 """Create a new object generating ancestors for the given revs. Does |
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345 not generate revs lower than stoprev. |
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346 |
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347 This is computed lazily starting from revs. The object supports |
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348 iteration and membership. |
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349 |
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350 cl should be a changelog and revs should be an iterable. inclusive is |
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351 a boolean that indicates whether revs should be included. Revs lower |
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352 than stoprev will not be generated. |
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353 |
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354 Result does not include the null revision.""" |
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355 self._parentrevs = cl.parentrevs |
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356 self._initrevs = revs |
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357 self._stoprev = stoprev |
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358 self._inclusive = inclusive |
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359 |
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360 # Initialize data structures for __contains__. |
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361 # For __contains__, we use a heap rather than a deque because |
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362 # (a) it minimizes the number of parentrevs calls made |
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363 # (b) it makes the loop termination condition obvious |
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364 # Python's heap is a min-heap. Multiply all values by -1 to convert it |
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365 # into a max-heap. |
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366 self._containsvisit = [-rev for rev in revs] |
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367 heapq.heapify(self._containsvisit) |
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368 if inclusive: |
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369 self._containsseen = set(revs) |
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370 else: |
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371 self._containsseen = set() |
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372 |
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373 def __iter__(self): |
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374 """Generate the ancestors of _initrevs in reverse topological order. |
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375 |
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376 If inclusive is False, yield a sequence of revision numbers starting |
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377 with the parents of each revision in revs, i.e., each revision is *not* |
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378 considered an ancestor of itself. Results are in breadth-first order: |
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379 parents of each rev in revs, then parents of those, etc. |
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380 |
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381 If inclusive is True, yield all the revs first (ignoring stoprev), |
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382 then yield all the ancestors of revs as when inclusive is False. |
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383 If an element in revs is an ancestor of a different rev it is not |
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384 yielded again.""" |
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385 seen = set() |
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386 revs = self._initrevs |
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387 if self._inclusive: |
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388 for rev in revs: |
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389 yield rev |
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390 seen.update(revs) |
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391 |
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392 parentrevs = self._parentrevs |
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393 stoprev = self._stoprev |
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394 visit = util.deque(revs) |
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395 |
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396 while visit: |
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397 for parent in parentrevs(visit.popleft()): |
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398 if parent >= stoprev and parent not in seen: |
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399 visit.append(parent) |
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400 seen.add(parent) |
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401 yield parent |
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402 |
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403 def __contains__(self, target): |
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404 """Test whether target is an ancestor of self._initrevs.""" |
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405 # Trying to do both __iter__ and __contains__ using the same visit |
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406 # heap and seen set is complex enough that it slows down both. Keep |
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407 # them separate. |
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408 seen = self._containsseen |
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409 if target in seen: |
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410 return True |
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411 |
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412 parentrevs = self._parentrevs |
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413 visit = self._containsvisit |
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414 stoprev = self._stoprev |
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415 heappop = heapq.heappop |
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416 heappush = heapq.heappush |
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417 |
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418 targetseen = False |
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419 |
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420 while visit and -visit[0] > target and not targetseen: |
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421 for parent in parentrevs(-heappop(visit)): |
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422 if parent < stoprev or parent in seen: |
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423 continue |
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424 # We need to make sure we push all parents into the heap so |
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425 # that we leave it in a consistent state for future calls. |
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426 heappush(visit, -parent) |
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427 seen.add(parent) |
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428 if parent == target: |
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429 targetseen = True |
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430 |
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431 return targetseen |