Mercurial > hg
annotate mercurial/similar.py @ 17644:9ae073f10572
histedit: fold in memory
Update the folding code to works in memory instead of applying patches on the
working directory. This is cleaner, faster and prepare the removal of the whole
patching logic.
This new collapse function will probably move into core sooner or later. A lot
of other rewriting operation may benefit from it.
author | Pierre-Yves David <pierre-yves.david@logilab.fr> |
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date | Fri, 21 Sep 2012 19:24:31 +0200 |
parents | 525fdb738975 |
children | a56c47ed3885 |
rev | line source |
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1 # similar.py - mechanisms for finding similar files |
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2 # |
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3 # Copyright 2005-2007 Matt Mackall <mpm@selenic.com> |
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4 # |
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5 # This software may be used and distributed according to the terms of the |
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6 # GNU General Public License version 2 or any later version. |
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7 |
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8 from i18n import _ |
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9 import util |
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10 import mdiff |
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11 import bdiff |
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12 |
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13 def _findexactmatches(repo, added, removed): |
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14 '''find renamed files that have no changes |
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15 |
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16 Takes a list of new filectxs and a list of removed filectxs, and yields |
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17 (before, after) tuples of exact matches. |
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18 ''' |
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19 numfiles = len(added) + len(removed) |
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20 |
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21 # Get hashes of removed files. |
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22 hashes = {} |
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23 for i, fctx in enumerate(removed): |
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24 repo.ui.progress(_('searching for exact renames'), i, total=numfiles) |
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25 h = util.sha1(fctx.data()).digest() |
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26 hashes[h] = fctx |
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27 |
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28 # For each added file, see if it corresponds to a removed file. |
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29 for i, fctx in enumerate(added): |
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30 repo.ui.progress(_('searching for exact renames'), i + len(removed), |
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31 total=numfiles) |
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32 h = util.sha1(fctx.data()).digest() |
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33 if h in hashes: |
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34 yield (hashes[h], fctx) |
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35 |
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36 # Done |
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37 repo.ui.progress(_('searching for exact renames'), None) |
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38 |
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39 def _findsimilarmatches(repo, added, removed, threshold): |
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40 '''find potentially renamed files based on similar file content |
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41 |
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42 Takes a list of new filectxs and a list of removed filectxs, and yields |
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43 (before, after, score) tuples of partial matches. |
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44 ''' |
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45 copies = {} |
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46 for i, r in enumerate(removed): |
16683 | 47 repo.ui.progress(_('searching for similar files'), i, |
48 total=len(removed)) | |
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49 |
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50 # lazily load text |
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51 @util.cachefunc |
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52 def data(): |
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53 orig = r.data() |
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54 return orig, mdiff.splitnewlines(orig) |
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55 |
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56 def score(text): |
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57 orig, lines = data() |
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58 # bdiff.blocks() returns blocks of matching lines |
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59 # count the number of bytes in each |
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60 equal = 0 |
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61 matches = bdiff.blocks(text, orig) |
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62 for x1, x2, y1, y2 in matches: |
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63 for line in lines[y1:y2]: |
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64 equal += len(line) |
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65 |
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66 lengths = len(text) + len(orig) |
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67 return equal * 2.0 / lengths |
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68 |
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69 for a in added: |
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70 bestscore = copies.get(a, (None, threshold))[1] |
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71 myscore = score(a.data()) |
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72 if myscore >= bestscore: |
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73 copies[a] = (r, myscore) |
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74 repo.ui.progress(_('searching'), None) |
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75 |
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76 for dest, v in copies.iteritems(): |
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77 source, score = v |
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78 yield source, dest, score |
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79 |
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80 def findrenames(repo, added, removed, threshold): |
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81 '''find renamed files -- yields (before, after, score) tuples''' |
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82 parentctx = repo['.'] |
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83 workingctx = repo[None] |
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84 |
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85 # Zero length files will be frequently unrelated to each other, and |
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86 # tracking the deletion/addition of such a file will probably cause more |
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87 # harm than good. We strip them out here to avoid matching them later on. |
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88 addedfiles = set([workingctx[fp] for fp in added |
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89 if workingctx[fp].size() > 0]) |
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90 removedfiles = set([parentctx[fp] for fp in removed |
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91 if fp in parentctx and parentctx[fp].size() > 0]) |
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92 |
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93 # Find exact matches. |
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94 for (a, b) in _findexactmatches(repo, |
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95 sorted(addedfiles), sorted(removedfiles)): |
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96 addedfiles.remove(b) |
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97 yield (a.path(), b.path(), 1.0) |
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98 |
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99 # If the user requested similar files to be matched, search for them also. |
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100 if threshold < 1.0: |
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101 for (a, b, score) in _findsimilarmatches(repo, |
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102 sorted(addedfiles), sorted(removedfiles), threshold): |
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103 yield (a.path(), b.path(), score) |
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104 |