Mercurial > public > mercurial-scm > hg-stable
annotate mercurial/graphmod.py @ 23568:740ae54573a3
groupbranchiter: allow callers to select the first branch
Instead of just bootstrapping the algorithm with the first revision we
see, allow callers to pass revs that should be displayed first. All
branches are retained until we can display such revision.
Expected usage is to display the current working copy parent first.
author | Pierre-Yves David <pierre-yves.david@fb.com> |
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date | Thu, 04 Sep 2014 19:28:17 +0200 |
parents | 1f080c9c6a35 |
children | 3ecbcffdeb0c |
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6691 | 1 # Revision graph generator for Mercurial |
2 # | |
3 # Copyright 2008 Dirkjan Ochtman <dirkjan@ochtman.nl> | |
4 # Copyright 2007 Joel Rosdahl <joel@rosdahl.net> | |
5 # | |
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6 # This software may be used and distributed according to the terms of the |
10263 | 7 # GNU General Public License version 2 or any later version. |
6691 | 8 |
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9 """supports walking the history as DAGs suitable for graphical output |
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10 |
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11 The most basic format we use is that of:: |
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12 |
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13 (id, type, data, [parentids]) |
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14 |
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15 The node and parent ids are arbitrary integers which identify a node in the |
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16 context of the graph returned. Type is a constant specifying the node type. |
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17 Data depends on type. |
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18 """ |
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19 |
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20 from mercurial.node import nullrev |
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21 import util |
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22 |
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23 import heapq |
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24 |
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25 CHANGESET = 'C' |
6691 | 26 |
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27 def groupbranchiter(revs, parentsfunc, firstbranch=()): |
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28 """yield revision from heads to roots one (topo) branch after the other. |
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29 |
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30 This function aims to be used by a graph generator that wishes to minimize |
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31 the amount of parallel branches and their interleaving. |
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32 |
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33 Example iteration order: |
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34 |
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35 o 4 |
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36 | |
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37 o 1 |
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38 | |
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39 | o 3 |
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40 | | |
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41 | o 2 |
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42 |/ |
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43 o 0 |
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44 |
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45 Currently consider every changeset under a merge to be on the same branch |
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46 using revision number to sort them. |
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47 """ |
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48 |
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49 ### Quick summary of the algorithm |
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50 # |
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51 # This function is based around a "retention" principle. We keep revisions |
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52 # in memory until we are ready to emit a whole branch that immediately |
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53 # "merge" into an existing one. This reduce the number of branch "ongoing" |
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54 # at the same time. |
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55 # |
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56 # During iteration revs are split into two groups: |
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57 # A) revision already emitted |
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58 # B) revision in "retention". They are stored as different subgroups. |
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59 # |
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60 # for each REV, we do the follow logic: |
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61 # |
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62 # a) if REV is a parent of (A), we will emit it. But before emitting it, |
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63 # we'll "free" all the revs from subgroup in (B) that were waiting for |
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64 # REV to be available. So we emit all revision of such subgroup before |
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65 # emitting REV |
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66 # |
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67 # b) else, we'll search for a subgroup in (B) awaiting for REV to be |
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68 # available, if such subgroup exist, we add REV to it and the subgroup is |
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69 # now awaiting for REV.parents() to be available. |
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70 # |
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71 # c) finally if no such group existed in (B), we create a new subgroup. |
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72 # |
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73 # |
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74 # To bootstrap the algorithm, we emit the tipmost revision. |
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75 |
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76 revs.sort(reverse=True) |
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77 |
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78 # Set of parents of revision that have been yield. They can be considered |
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79 # unblocked as the graph generator is already aware of them so there is no |
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80 # need to delay the one that reference them. |
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81 # |
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82 # If someone wants to prioritize a branch over the others, pre-filling this |
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83 # set will force all other branches to wait until this branch is ready to be |
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84 # outputed. |
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85 unblocked = set(firstbranch) |
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86 |
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87 # list of group waiting to be displayed, each group is defined by: |
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88 # |
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89 # (revs: lists of revs waiting to be displayed, |
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90 # blocked: set of that cannot be displayed before those in 'revs') |
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91 # |
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92 # The second value ('blocked') correspond to parents of any revision in the |
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93 # group ('revs') that is not itself contained in the group. The main idea |
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94 # of this algorithm is to delay as much as possible the emission of any |
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95 # revision. This means waiting for the moment we are about to display |
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96 # theses parents to display the revs in a group. |
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97 # |
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98 # This first implementation is smart until it meet a merge: it will emit |
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99 # revs as soon as any parents is about to be emitted and can grow an |
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100 # arbitrary number of revs in 'blocked'. In practice this mean we properly |
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101 # retains new branches but give up on any special ordering for ancestors of |
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102 # merges. The implementation can be improved to handle this better. |
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103 # |
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104 # The first subgroup is special. It correspond to all the revision that |
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105 # were already emitted. The 'revs' lists is expected to be empty and the |
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106 # 'blocked' set contains the parents revisions of already emitted revision. |
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107 # |
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108 # You could pre-seed the <parents> set of groups[0] to a specific |
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109 # changesets to select what the first emitted branch should be. |
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110 groups = [([], unblocked)] |
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111 pendingheap = [] |
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112 pendingset = set() |
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113 |
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114 heapq.heapify(pendingheap) |
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115 heappop = heapq.heappop |
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116 heappush = heapq.heappush |
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117 for currentrev in revs: |
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118 # Heap works with smallest element, we want highest so we invert |
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119 if currentrev not in pendingset: |
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120 heappush(pendingheap, -currentrev) |
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121 pendingset.add(currentrev) |
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122 # iterates on pending rev until after the current rev have been |
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123 # processeed. |
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124 rev = None |
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125 while rev != currentrev: |
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126 rev = -heappop(pendingheap) |
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127 pendingset.remove(rev) |
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128 |
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129 # Seek for a subgroup blocked, waiting for the current revision. |
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130 matching = [i for i, g in enumerate(groups) if rev in g[1]] |
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131 |
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132 if matching: |
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133 # The main idea is to gather together all sets that await on |
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134 # the same revision. |
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135 # |
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136 # This merging is done at the time we are about to add this |
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137 # common awaited to the subgroup for simplicity purpose. Such |
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138 # merge could happen sooner when we update the "blocked" set of |
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139 # revision. |
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140 # |
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141 # We also always keep the oldest subgroup first. We can |
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142 # probably improve the behavior by having the longuest set |
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143 # first. That way, graph algorythms could minimise the length |
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144 # of parallele lines their draw. This is currently not done. |
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145 targetidx = matching.pop(0) |
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146 trevs, tparents = groups[targetidx] |
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147 for i in matching: |
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148 gr = groups[i] |
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149 trevs.extend(gr[0]) |
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150 tparents |= gr[1] |
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151 # delete all merged subgroups (but the one we keep) (starting |
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152 # from the last subgroup for performance and sanity reason) |
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153 for i in reversed(matching): |
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154 del groups[i] |
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155 else: |
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156 # This is a new head. We create a new subgroup for it. |
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157 targetidx = len(groups) |
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158 groups.append(([], set([rev]))) |
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159 |
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160 gr = groups[targetidx] |
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161 |
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162 # We now adds the current nodes to this subgroups. This is done |
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163 # after the subgroup merging because all elements from a subgroup |
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164 # that relied on this rev must preceed it. |
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165 # |
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166 # we also update the <parents> set to includes the parents on the |
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167 # new nodes. |
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168 if rev == currentrev: # only display stuff in rev |
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169 gr[0].append(rev) |
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170 gr[1].remove(rev) |
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171 parents = [p for p in parentsfunc(rev) if p > nullrev] |
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172 gr[1].update(parents) |
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173 for p in parents: |
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174 if p not in pendingset: |
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175 pendingset.add(p) |
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176 heappush(pendingheap, -p) |
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177 |
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178 # Look for a subgroup to display |
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179 # |
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180 # When unblocked is empty (if clause), We are not waiting over any |
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181 # revision during the first iteration (if no priority was given) or |
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182 # if we outputed a whole disconnected sets of the graph (reached a |
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183 # root). In that case we arbitrarily takes the oldest known |
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184 # subgroup. The heuristique could probably be better. |
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185 # |
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186 # Otherwise (elif clause) this mean we have some emitted revision. |
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187 # if the subgroup awaits on the same revision that the outputed |
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188 # ones, we can safely output it. |
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189 if not unblocked: |
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190 if len(groups) > 1: # display other subset |
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191 targetidx = 1 |
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192 gr = groups[1] |
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193 elif not gr[1] & unblocked: |
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194 gr = None |
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195 |
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196 if gr is not None: |
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197 # update the set of awaited revisions with the one from the |
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198 # subgroup |
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199 unblocked |= gr[1] |
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200 # output all revisions in the subgroup |
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201 for r in gr[0]: |
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202 yield r |
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203 # delete the subgroup that you just output |
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204 # unless it is groups[0] in which case you just empty it. |
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205 if targetidx: |
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206 del groups[targetidx] |
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207 else: |
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208 gr[0][:] = [] |
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209 # Check if we have some subgroup waiting for revision we are not going to |
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210 # iterate over |
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211 for g in groups: |
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212 for r in g[0]: |
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213 yield r |
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214 |
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215 def dagwalker(repo, revs): |
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216 """cset DAG generator yielding (id, CHANGESET, ctx, [parentids]) tuples |
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217 |
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218 This generator function walks through revisions (which should be ordered |
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219 from bigger to lower). It returns a tuple for each node. The node and parent |
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220 ids are arbitrary integers which identify a node in the context of the graph |
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221 returned. |
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222 """ |
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223 if not revs: |
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224 return |
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225 |
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226 cl = repo.changelog |
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227 lowestrev = revs.min() |
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228 gpcache = {} |
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229 |
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230 if repo.ui.configbool('experimental', 'graph-topological', False): |
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231 firstbranch = () |
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232 firstbranchrevset = repo.ui.config('experimental', |
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233 'graph-topological.firstbranch', '') |
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234 if firstbranchrevset: |
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235 firstbranch = repo.revs(firstbranchrevset) |
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236 parentrevs = repo.changelog.parentrevs |
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237 revs = list(groupbranchiter(revs, parentrevs, firstbranch)) |
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238 |
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239 for rev in revs: |
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240 ctx = repo[rev] |
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241 parents = sorted(set([p.rev() for p in ctx.parents() |
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242 if p.rev() in revs])) |
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243 mpars = [p.rev() for p in ctx.parents() if |
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244 p.rev() != nullrev and p.rev() not in parents] |
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245 |
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246 for mpar in mpars: |
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247 gp = gpcache.get(mpar) |
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248 if gp is None: |
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249 gp = gpcache[mpar] = grandparent(cl, lowestrev, revs, mpar) |
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250 if not gp: |
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251 parents.append(mpar) |
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252 else: |
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253 parents.extend(g for g in gp if g not in parents) |
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254 |
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255 yield (ctx.rev(), CHANGESET, ctx, parents) |
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256 |
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257 def nodes(repo, nodes): |
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258 """cset DAG generator yielding (id, CHANGESET, ctx, [parentids]) tuples |
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259 |
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260 This generator function walks the given nodes. It only returns parents |
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261 that are in nodes, too. |
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262 """ |
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263 include = set(nodes) |
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264 for node in nodes: |
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265 ctx = repo[node] |
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266 parents = set([p.rev() for p in ctx.parents() if p.node() in include]) |
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267 yield (ctx.rev(), CHANGESET, ctx, sorted(parents)) |
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268 |
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269 def colored(dag, repo): |
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270 """annotates a DAG with colored edge information |
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271 |
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272 For each DAG node this function emits tuples:: |
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274 (id, type, data, (col, color), [(col, nextcol, color)]) |
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276 with the following new elements: |
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277 |
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278 - Tuple (col, color) with column and color index for the current node |
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279 - A list of tuples indicating the edges between the current node and its |
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280 parents. |
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282 seen = [] |
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284 newcolor = 1 |
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285 config = {} |
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286 |
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287 for key, val in repo.ui.configitems('graph'): |
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288 if '.' in key: |
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289 branch, setting = key.rsplit('.', 1) |
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290 # Validation |
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291 if setting == "width" and val.isdigit(): |
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292 config.setdefault(branch, {})[setting] = int(val) |
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293 elif setting == "color" and val.isalnum(): |
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294 config.setdefault(branch, {})[setting] = val |
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295 |
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296 if config: |
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297 getconf = util.lrucachefunc( |
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298 lambda rev: config.get(repo[rev].branch(), {})) |
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299 else: |
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300 getconf = lambda rev: {} |
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301 |
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302 for (cur, type, data, parents) in dag: |
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304 # Compute seen and next |
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305 if cur not in seen: |
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306 seen.append(cur) # new head |
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307 colors[cur] = newcolor |
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308 newcolor += 1 |
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310 col = seen.index(cur) |
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311 color = colors.pop(cur) |
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312 next = seen[:] |
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314 # Add parents to next |
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316 next[col:col + 1] = addparents |
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318 # Set colors for the parents | |
319 for i, p in enumerate(addparents): | |
320 if not i: | |
321 colors[p] = color | |
322 else: | |
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323 colors[p] = newcolor |
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324 newcolor += 1 |
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326 # Add edges to the graph | |
327 edges = [] | |
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328 for ecol, eid in enumerate(seen): |
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329 if eid in next: |
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330 bconf = getconf(eid) |
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331 edges.append(( |
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332 ecol, next.index(eid), colors[eid], |
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333 bconf.get('width', -1), |
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334 bconf.get('color', ''))) |
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335 elif eid == cur: |
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337 bconf = getconf(p) |
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338 edges.append(( |
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339 ecol, next.index(p), color, |
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340 bconf.get('width', -1), |
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341 bconf.get('color', ''))) |
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343 # Yield and move on | |
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344 yield (cur, type, data, (col, color), edges) |
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345 seen = next |
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346 |
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347 def grandparent(cl, lowestrev, roots, head): |
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348 """Return all ancestors of head in roots which revision is |
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349 greater or equal to lowestrev. |
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350 """ |
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351 pending = set([head]) |
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352 seen = set() |
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353 kept = set() |
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354 llowestrev = max(nullrev, lowestrev) |
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355 while pending: |
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356 r = pending.pop() |
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357 if r >= llowestrev and r not in seen: |
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358 if r in roots: |
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359 kept.add(r) |
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360 else: |
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361 pending.update([p for p in cl.parentrevs(r)]) |
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362 seen.add(r) |
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363 return sorted(kept) |
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364 |
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365 def asciiedges(type, char, lines, seen, rev, parents): |
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366 """adds edge info to changelog DAG walk suitable for ascii()""" |
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367 if rev not in seen: |
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368 seen.append(rev) |
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369 nodeidx = seen.index(rev) |
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370 |
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371 knownparents = [] |
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372 newparents = [] |
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373 for parent in parents: |
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374 if parent in seen: |
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375 knownparents.append(parent) |
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376 else: |
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377 newparents.append(parent) |
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378 |
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379 ncols = len(seen) |
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380 nextseen = seen[:] |
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381 nextseen[nodeidx:nodeidx + 1] = newparents |
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382 edges = [(nodeidx, nextseen.index(p)) for p in knownparents if p != nullrev] |
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383 |
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384 while len(newparents) > 2: |
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385 # ascii() only knows how to add or remove a single column between two |
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386 # calls. Nodes with more than two parents break this constraint so we |
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387 # introduce intermediate expansion lines to grow the active node list |
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388 # slowly. |
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389 edges.append((nodeidx, nodeidx)) |
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390 edges.append((nodeidx, nodeidx + 1)) |
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391 nmorecols = 1 |
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392 yield (type, char, lines, (nodeidx, edges, ncols, nmorecols)) |
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393 char = '\\' |
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394 lines = [] |
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395 nodeidx += 1 |
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396 ncols += 1 |
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397 edges = [] |
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398 del newparents[0] |
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399 |
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400 if len(newparents) > 0: |
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401 edges.append((nodeidx, nodeidx)) |
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402 if len(newparents) > 1: |
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403 edges.append((nodeidx, nodeidx + 1)) |
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404 nmorecols = len(nextseen) - ncols |
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405 seen[:] = nextseen |
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406 yield (type, char, lines, (nodeidx, edges, ncols, nmorecols)) |
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407 |
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408 def _fixlongrightedges(edges): |
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409 for (i, (start, end)) in enumerate(edges): |
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410 if end > start: |
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411 edges[i] = (start, end + 1) |
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412 |
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413 def _getnodelineedgestail( |
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414 node_index, p_node_index, n_columns, n_columns_diff, p_diff, fix_tail): |
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415 if fix_tail and n_columns_diff == p_diff and n_columns_diff != 0: |
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416 # Still going in the same non-vertical direction. |
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417 if n_columns_diff == -1: |
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418 start = max(node_index + 1, p_node_index) |
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419 tail = ["|", " "] * (start - node_index - 1) |
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420 tail.extend(["/", " "] * (n_columns - start)) |
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421 return tail |
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422 else: |
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423 return ["\\", " "] * (n_columns - node_index - 1) |
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424 else: |
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425 return ["|", " "] * (n_columns - node_index - 1) |
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426 |
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427 def _drawedges(edges, nodeline, interline): |
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428 for (start, end) in edges: |
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429 if start == end + 1: |
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430 interline[2 * end + 1] = "/" |
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431 elif start == end - 1: |
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432 interline[2 * start + 1] = "\\" |
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433 elif start == end: |
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434 interline[2 * start] = "|" |
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435 else: |
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436 if 2 * end >= len(nodeline): |
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437 continue |
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438 nodeline[2 * end] = "+" |
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439 if start > end: |
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440 (start, end) = (end, start) |
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441 for i in range(2 * start + 1, 2 * end): |
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442 if nodeline[i] != "+": |
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443 nodeline[i] = "-" |
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444 |
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445 def _getpaddingline(ni, n_columns, edges): |
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446 line = [] |
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447 line.extend(["|", " "] * ni) |
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448 if (ni, ni - 1) in edges or (ni, ni) in edges: |
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449 # (ni, ni - 1) (ni, ni) |
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450 # | | | | | | | | |
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451 # +---o | | o---+ |
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452 # | | c | | c | | |
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453 # | |/ / | |/ / |
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454 # | | | | | | |
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455 c = "|" |
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456 else: |
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457 c = " " |
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458 line.extend([c, " "]) |
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459 line.extend(["|", " "] * (n_columns - ni - 1)) |
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|
460 return line |
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461 |
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462 def asciistate(): |
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463 """returns the initial value for the "state" argument to ascii()""" |
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464 return [0, 0] |
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465 |
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466 def ascii(ui, state, type, char, text, coldata): |
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467 """prints an ASCII graph of the DAG |
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468 |
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|
469 takes the following arguments (one call per node in the graph): |
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470 |
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471 - ui to write to |
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472 - Somewhere to keep the needed state in (init to asciistate()) |
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473 - Column of the current node in the set of ongoing edges. |
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474 - Type indicator of node data, usually 'C' for changesets. |
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475 - Payload: (char, lines): |
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476 - Character to use as node's symbol. |
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477 - List of lines to display as the node's text. |
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478 - Edges; a list of (col, next_col) indicating the edges between |
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479 the current node and its parents. |
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480 - Number of columns (ongoing edges) in the current revision. |
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481 - The difference between the number of columns (ongoing edges) |
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482 in the next revision and the number of columns (ongoing edges) |
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483 in the current revision. That is: -1 means one column removed; |
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484 0 means no columns added or removed; 1 means one column added. |
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485 """ |
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486 |
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487 idx, edges, ncols, coldiff = coldata |
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488 assert -2 < coldiff < 2 |
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489 if coldiff == -1: |
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490 # Transform |
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491 # |
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492 # | | | | | | |
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493 # o | | into o---+ |
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494 # |X / |/ / |
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495 # | | | | |
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496 _fixlongrightedges(edges) |
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497 |
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498 # add_padding_line says whether to rewrite |
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499 # |
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500 # | | | | | | | | |
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501 # | o---+ into | o---+ |
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502 # | / / | | | # <--- padding line |
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503 # o | | | / / |
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504 # o | | |
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505 add_padding_line = (len(text) > 2 and coldiff == -1 and |
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506 [x for (x, y) in edges if x + 1 < y]) |
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507 |
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508 # fix_nodeline_tail says whether to rewrite |
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509 # |
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510 # | | o | | | | o | | |
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511 # | | |/ / | | |/ / |
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512 # | o | | into | o / / # <--- fixed nodeline tail |
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513 # | |/ / | |/ / |
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514 # o | | o | | |
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515 fix_nodeline_tail = len(text) <= 2 and not add_padding_line |
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516 |
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517 # nodeline is the line containing the node character (typically o) |
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518 nodeline = ["|", " "] * idx |
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519 nodeline.extend([char, " "]) |
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520 |
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521 nodeline.extend( |
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522 _getnodelineedgestail(idx, state[1], ncols, coldiff, |
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523 state[0], fix_nodeline_tail)) |
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524 |
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525 # shift_interline is the line containing the non-vertical |
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526 # edges between this entry and the next |
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527 shift_interline = ["|", " "] * idx |
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528 if coldiff == -1: |
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529 n_spaces = 1 |
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530 edge_ch = "/" |
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531 elif coldiff == 0: |
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532 n_spaces = 2 |
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533 edge_ch = "|" |
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534 else: |
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535 n_spaces = 3 |
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536 edge_ch = "\\" |
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537 shift_interline.extend(n_spaces * [" "]) |
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538 shift_interline.extend([edge_ch, " "] * (ncols - idx - 1)) |
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539 |
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540 # draw edges from the current node to its parents |
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541 _drawedges(edges, nodeline, shift_interline) |
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542 |
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543 # lines is the list of all graph lines to print |
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544 lines = [nodeline] |
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545 if add_padding_line: |
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546 lines.append(_getpaddingline(idx, ncols, edges)) |
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547 lines.append(shift_interline) |
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548 |
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549 # make sure that there are as many graph lines as there are |
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550 # log strings |
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551 while len(text) < len(lines): |
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552 text.append("") |
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553 if len(lines) < len(text): |
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554 extra_interline = ["|", " "] * (ncols + coldiff) |
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555 while len(lines) < len(text): |
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556 lines.append(extra_interline) |
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557 |
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558 # print lines |
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559 indentation_level = max(ncols, ncols + coldiff) |
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560 for (line, logstr) in zip(lines, text): |
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561 ln = "%-*s %s" % (2 * indentation_level, "".join(line), logstr) |
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562 ui.write(ln.rstrip() + '\n') |
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563 |
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564 # ... and start over |
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565 state[0] = coldiff |
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566 state[1] = idx |