annotate mercurial/similar.py @ 40163:9f0ee4a60d65

tests: ensure the python 3 passing test list stays sorted Differential Revision: https://phab.mercurial-scm.org/D4984
author Augie Fackler <augie@google.com>
date Fri, 12 Oct 2018 06:39:32 -0400
parents 59c9d3cc810f
children 2372284d9457
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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 __future__ import absolute_import
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9
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10 from .i18n import _
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11 from . import (
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12 mdiff,
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13 )
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14
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15 def _findexactmatches(repo, added, removed):
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16 '''find renamed files that have no changes
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17
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18 Takes a list of new filectxs and a list of removed filectxs, and yields
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19 (before, after) tuples of exact matches.
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20 '''
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21 # Build table of removed files: {hash(fctx.data()): [fctx, ...]}.
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22 # We use hash() to discard fctx.data() from memory.
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23 hashes = {}
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24 progress = repo.ui.makeprogress(_('searching for exact renames'),
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25 total=(len(added) + len(removed)),
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26 unit=_('files'))
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27 for fctx in removed:
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28 progress.increment()
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29 h = hash(fctx.data())
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30 if h not in hashes:
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31 hashes[h] = [fctx]
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32 else:
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33 hashes[h].append(fctx)
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34
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35 # For each added file, see if it corresponds to a removed file.
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36 for fctx in added:
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37 progress.increment()
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38 adata = fctx.data()
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39 h = hash(adata)
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40 for rfctx in hashes.get(h, []):
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41 # compare between actual file contents for exact identity
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42 if adata == rfctx.data():
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43 yield (rfctx, fctx)
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44 break
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45
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46 # Done
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47 progress.complete()
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48
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49 def _ctxdata(fctx):
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50 # lazily load text
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51 orig = fctx.data()
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52 return orig, mdiff.splitnewlines(orig)
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53
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54 def _score(fctx, otherdata):
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55 orig, lines = otherdata
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56 text = fctx.data()
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57 # mdiff.blocks() returns blocks of matching lines
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58 # count the number of bytes in each
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59 equal = 0
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60 matches = mdiff.blocks(text, orig)
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61 for x1, x2, y1, y2 in matches:
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62 for line in lines[y1:y2]:
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63 equal += len(line)
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64
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65 lengths = len(text) + len(orig)
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66 return equal * 2.0 / lengths
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67
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68 def score(fctx1, fctx2):
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69 return _score(fctx1, _ctxdata(fctx2))
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70
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71 def _findsimilarmatches(repo, added, removed, threshold):
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72 '''find potentially renamed files based on similar file content
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73
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74 Takes a list of new filectxs and a list of removed filectxs, and yields
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75 (before, after, score) tuples of partial matches.
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76 '''
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77 copies = {}
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78 progress = repo.ui.makeprogress(_('searching for similar files'),
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79 unit=_('files'), total=len(removed))
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80 for r in removed:
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81 progress.increment()
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82 data = None
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83 for a in added:
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84 bestscore = copies.get(a, (None, threshold))[1]
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85 if data is None:
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86 data = _ctxdata(r)
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87 myscore = _score(a, data)
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88 if myscore > bestscore:
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89 copies[a] = (r, myscore)
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90 progress.complete()
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91
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92 for dest, v in copies.iteritems():
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93 source, bscore = v
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94 yield source, dest, bscore
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95
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96 def _dropempty(fctxs):
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97 return [x for x in fctxs if x.size() > 0]
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98
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99 def findrenames(repo, added, removed, threshold):
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100 '''find renamed files -- yields (before, after, score) tuples'''
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101 wctx = repo[None]
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102 pctx = wctx.p1()
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103
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104 # Zero length files will be frequently unrelated to each other, and
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105 # tracking the deletion/addition of such a file will probably cause more
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106 # harm than good. We strip them out here to avoid matching them later on.
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107 addedfiles = _dropempty(wctx[fp] for fp in sorted(added))
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108 removedfiles = _dropempty(pctx[fp] for fp in sorted(removed) if fp in pctx)
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109
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110 # Find exact matches.
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111 matchedfiles = set()
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112 for (a, b) in _findexactmatches(repo, addedfiles, removedfiles):
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113 matchedfiles.add(b)
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114 yield (a.path(), b.path(), 1.0)
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115
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116 # If the user requested similar files to be matched, search for them also.
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117 if threshold < 1.0:
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118 addedfiles = [x for x in addedfiles if x not in matchedfiles]
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119 for (a, b, score) in _findsimilarmatches(repo, addedfiles,
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120 removedfiles, threshold):
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121 yield (a.path(), b.path(), score)