annotate mercurial/tagmerge.py @ 40506:10c10da14c5d

remotefilelog: bump pack file formats to version 2 Drop support for format 0 and 1 packs. Version 2 will be different in that it'll use zlib compression instead of lz4, as the latter isn't really suitable for core. If I can make it work, I'll make compression engines pluggable, but the logic for handling these files is spread out enough it's a little tricky to get that right. Test changes are only due to pack files being renamed. The contents of the packs are the same. Differential Revision: https://phab.mercurial-scm.org/D4943
author Augie Fackler <augie@google.com>
date Wed, 03 Oct 2018 23:25:31 -0400
parents b77ff4fbe9ad
children 2372284d9457
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1 # tagmerge.py - merge .hgtags files
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2 #
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3 # Copyright 2014 Angel Ezquerra <angel.ezquerra@gmail.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 # This module implements an automatic merge algorithm for mercurial's tag files
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9 #
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10 # The tagmerge algorithm implemented in this module is able to resolve most
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11 # merge conflicts that currently would trigger a .hgtags merge conflict. The
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12 # only case that it does not (and cannot) handle is that in which two tags point
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13 # to different revisions on each merge parent _and_ their corresponding tag
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14 # histories have the same rank (i.e. the same length). In all other cases the
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15 # merge algorithm will choose the revision belonging to the parent with the
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16 # highest ranked tag history. The merged tag history is the combination of both
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17 # tag histories (special care is taken to try to combine common tag histories
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18 # where possible).
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19 #
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20 # In addition to actually merging the tags from two parents, taking into
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21 # account the base, the algorithm also tries to minimize the difference
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22 # between the merged tag file and the first parent's tag file (i.e. it tries to
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23 # make the merged tag order as as similar as possible to the first parent's tag
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24 # file order).
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25 #
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26 # The algorithm works as follows:
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27 # 1. read the tags from p1, p2 and the base
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28 # - when reading the p1 tags, also get the line numbers associated to each
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29 # tag node (these will be used to sort the merged tags in a way that
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30 # minimizes the diff to p1). Ignore the file numbers when reading p2 and
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31 # the base
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32 # 2. recover the "lost tags" (i.e. those that are found in the base but not on
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33 # p1 or p2) and add them back to p1 and/or p2
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34 # - at this point the only tags that are on p1 but not on p2 are those new
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35 # tags that were introduced in p1. Same thing for the tags that are on p2
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36 # but not on p2
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37 # 3. take all tags that are only on p1 or only on p2 (but not on the base)
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38 # - Note that these are the tags that were introduced between base and p1
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39 # and between base and p2, possibly on separate clones
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40 # 4. for each tag found both on p1 and p2 perform the following merge algorithm:
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41 # - the tags conflict if their tag "histories" have the same "rank" (i.e.
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42 # length) AND the last (current) tag is NOT the same
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43 # - for non conflicting tags:
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44 # - choose which are the high and the low ranking nodes
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45 # - the high ranking list of nodes is the one that is longer.
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46 # In case of draw favor p1
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47 # - the merged node list is made of 3 parts:
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48 # - first the nodes that are common to the beginning of both
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49 # the low and the high ranking nodes
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50 # - second the non common low ranking nodes
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51 # - finally the non common high ranking nodes (with the last
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52 # one being the merged tag node)
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53 # - note that this is equivalent to putting the whole low ranking
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54 # node list first, followed by the non common high ranking nodes
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55 # - note that during the merge we keep the "node line numbers", which will
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56 # be used when writing the merged tags to the tag file
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57 # 5. write the merged tags taking into account to their positions in the first
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58 # parent (i.e. try to keep the relative ordering of the nodes that come
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59 # from p1). This minimizes the diff between the merged and the p1 tag files
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60 # This is done by using the following algorithm
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61 # - group the nodes for a given tag that must be written next to each other
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62 # - A: nodes that come from consecutive lines on p1
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63 # - B: nodes that come from p2 (i.e. whose associated line number is
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64 # None) and are next to one of the a nodes in A
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65 # - each group is associated with a line number coming from p1
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66 # - generate a "tag block" for each of the groups
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67 # - a tag block is a set of consecutive "node tag" lines belonging to
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68 # the same tag and which will be written next to each other on the
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69 # merged tags file
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70 # - sort the "tag blocks" according to their associated number line
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71 # - put blocks whose nodes come all from p2 first
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72 # - write the tag blocks in the sorted order
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73
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74 from __future__ import absolute_import
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75
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76 from .i18n import _
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77 from .node import (
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78 hex,
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79 nullid,
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80 )
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81 from .import (
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82 tags as tagsmod,
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83 util,
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84 )
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85
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86 hexnullid = hex(nullid)
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87
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88 def readtagsformerge(ui, repo, lines, fn='', keeplinenums=False):
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89 '''read the .hgtags file into a structure that is suitable for merging
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90
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91 Depending on the keeplinenums flag, clear the line numbers associated
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92 with each tag. This is done because only the line numbers of the first
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93 parent are useful for merging.
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94 '''
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95 filetags = tagsmod._readtaghist(ui, repo, lines, fn=fn, recode=None,
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96 calcnodelines=True)[1]
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97 for tagname, taginfo in filetags.items():
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98 if not keeplinenums:
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99 for el in taginfo:
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100 el[1] = None
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101 return filetags
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102
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103 def grouptagnodesbyline(tagnodes):
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104 '''
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105 Group nearby nodes (i.e. those that must be written next to each other)
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106
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107 The input is a list of [node, position] pairs, corresponding to a given tag
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108 The position is the line number where the node was found on the first parent
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109 .hgtags file, or None for those nodes that came from the base or the second
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110 parent .hgtags files.
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111
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112 This function groups those [node, position] pairs, returning a list of
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113 groups of nodes that must be written next to each other because their
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114 positions are consecutive or have no position preference (because their
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115 position is None).
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116
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117 The result is a list of [position, [consecutive node list]]
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118 '''
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119 firstlinenum = None
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120 for hexnode, linenum in tagnodes:
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121 firstlinenum = linenum
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122 if firstlinenum is not None:
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123 break
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124 if firstlinenum is None:
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125 return [[None, [el[0] for el in tagnodes]]]
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126 tagnodes[0][1] = firstlinenum
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127 groupednodes = [[firstlinenum, []]]
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128 prevlinenum = firstlinenum
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129 for hexnode, linenum in tagnodes:
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130 if linenum is not None and linenum - prevlinenum > 1:
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131 groupednodes.append([linenum, []])
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132 groupednodes[-1][1].append(hexnode)
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133 if linenum is not None:
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134 prevlinenum = linenum
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135 return groupednodes
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136
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137 def writemergedtags(fcd, mergedtags):
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138 '''
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139 write the merged tags while trying to minimize the diff to the first parent
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140
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141 This function uses the ordering info stored on the merged tags dict to
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142 generate an .hgtags file which is correct (in the sense that its contents
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143 correspond to the result of the tag merge) while also being as close as
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144 possible to the first parent's .hgtags file.
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145 '''
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146 # group the node-tag pairs that must be written next to each other
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147 for tname, taglist in list(mergedtags.items()):
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148 mergedtags[tname] = grouptagnodesbyline(taglist)
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149
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150 # convert the grouped merged tags dict into a format that resembles the
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151 # final .hgtags file (i.e. a list of blocks of 'node tag' pairs)
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152 def taglist2string(tlist, tname):
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153 return '\n'.join(['%s %s' % (hexnode, tname) for hexnode in tlist])
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154
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155 finaltags = []
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156 for tname, tags in mergedtags.items():
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157 for block in tags:
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158 block[1] = taglist2string(block[1], tname)
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159 finaltags += tags
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160
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161 # the tag groups are linked to a "position" that can be used to sort them
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162 # before writing them
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163 # the position is calculated to ensure that the diff of the merged .hgtags
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164 # file to the first parent's .hgtags file is as small as possible
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165 finaltags.sort(key=lambda x: -1 if x[0] is None else x[0])
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166
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167 # finally we can join the sorted groups to get the final contents of the
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168 # merged .hgtags file, and then write it to disk
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169 mergedtagstring = '\n'.join([tags for rank, tags in finaltags if tags])
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170 fcd.write(mergedtagstring + '\n', fcd.flags())
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171
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172 def singletagmerge(p1nodes, p2nodes):
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173 '''
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174 merge the nodes corresponding to a single tag
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175
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176 Note that the inputs are lists of node-linenum pairs (i.e. not just lists
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177 of nodes)
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178 '''
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179 if not p2nodes:
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180 return p1nodes
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181 if not p1nodes:
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182 return p2nodes
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183
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184 # there is no conflict unless both tags point to different revisions
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185 # and have a non identical tag history
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186 p1currentnode = p1nodes[-1][0]
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187 p2currentnode = p2nodes[-1][0]
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188 if p1currentnode != p2currentnode and len(p1nodes) == len(p2nodes):
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189 # cannot merge two tags with same rank pointing to different nodes
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190 return None
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191
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192 # which are the highest ranking (hr) / lowest ranking (lr) nodes?
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193 if len(p1nodes) >= len(p2nodes):
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194 hrnodes, lrnodes = p1nodes, p2nodes
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195 else:
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196 hrnodes, lrnodes = p2nodes, p1nodes
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197
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198 # the lowest ranking nodes will be written first, followed by the highest
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199 # ranking nodes
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200 # to avoid unwanted tag rank explosion we try to see if there are some
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201 # common nodes that can be written only once
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202 commonidx = len(lrnodes)
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203 for n in range(len(lrnodes)):
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204 if hrnodes[n][0] != lrnodes[n][0]:
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205 commonidx = n
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206 break
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207 lrnodes[n][1] = p1nodes[n][1]
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208
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209 # the merged node list has 3 parts:
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210 # - common nodes
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211 # - non common lowest ranking nodes
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212 # - non common highest ranking nodes
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213 # note that the common nodes plus the non common lowest ranking nodes is the
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214 # whole list of lr nodes
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215 return lrnodes + hrnodes[commonidx:]
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216
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217 def merge(repo, fcd, fco, fca):
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218 '''
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219 Merge the tags of two revisions, taking into account the base tags
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220 Try to minimize the diff between the merged tags and the first parent tags
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221 '''
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222 ui = repo.ui
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223 # read the p1, p2 and base tags
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224 # only keep the line numbers for the p1 tags
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225 p1tags = readtagsformerge(
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226 ui, repo, fcd.data().splitlines(), fn="p1 tags",
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227 keeplinenums=True)
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228 p2tags = readtagsformerge(
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229 ui, repo, fco.data().splitlines(), fn="p2 tags",
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230 keeplinenums=False)
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231 basetags = readtagsformerge(
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232 ui, repo, fca.data().splitlines(), fn="base tags",
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233 keeplinenums=False)
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234
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235 # recover the list of "lost tags" (i.e. those that were found on the base
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236 # revision but not on one of the revisions being merged)
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237 basetagset = set(basetags)
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238 for n, pntags in enumerate((p1tags, p2tags)):
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239 pntagset = set(pntags)
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240 pnlosttagset = basetagset - pntagset
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241 for t in pnlosttagset:
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242 pntags[t] = basetags[t]
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243 if pntags[t][-1][0] != hexnullid:
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244 pntags[t].append([hexnullid, None])
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245
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246 conflictedtags = [] # for reporting purposes
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247 mergedtags = util.sortdict(p1tags)
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248 # sortdict does not implement iteritems()
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249 for tname, p2nodes in p2tags.items():
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250 if tname not in mergedtags:
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251 mergedtags[tname] = p2nodes
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252 continue
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253 p1nodes = mergedtags[tname]
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254 mergednodes = singletagmerge(p1nodes, p2nodes)
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255 if mergednodes is None:
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256 conflictedtags.append(tname)
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257 continue
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258 mergedtags[tname] = mergednodes
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259
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260 if conflictedtags:
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261 numconflicts = len(conflictedtags)
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262 ui.warn(_('automatic .hgtags merge failed\n'
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263 'the following %d tags are in conflict: %s\n')
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264 % (numconflicts, ', '.join(sorted(conflictedtags))))
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265 return True, 1
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266
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267 writemergedtags(fcd, mergedtags)
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268 ui.note(_('.hgtags merged successfully\n'))
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269 return False, 0