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bdiff: adjust criteria for getting optimal longest match in the A side middle...
bdiff: adjust criteria for getting optimal longest match in the A side middle We prefer matches closer to the middle to balance recursion, as introduced in f1ca249696ed. For ranges with uneven length, matches starting exactly in the middle should have preference. That will be optimal for matches of length 1. We will thus accept equality in the half check. For ranges with even length, half was ceil'ed when calculated but we got the preference for low matches from the 'less than half' check. To get the same result as before when we also accept equality, floor it. Without that, test-annotate.t would show some different (still correct but less optimal) results. This will change the heuristics. Tests shows a slightly different output - and sometimes slightly smaller bundles. The bundle size for 4.0 (hg bundle --base null -r 4.0 x.hg) happens to go from 22804885 to 22803824 bytes - an 0.005% reduction.

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similar.py
110 lines | 3.7 KiB | text/x-python | PythonLexer
David Greenaway
Move 'findrenames' code into its own file....
r11059 # similar.py - mechanisms for finding similar files
#
# Copyright 2005-2007 Matt Mackall <mpm@selenic.com>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
Gregory Szorc
similar: use absolute_import
r27359 from __future__ import absolute_import
Augie Fackler
cleanup: replace uses of util.(md5|sha1|sha256|sha512) with hashlib.\1...
r29341 import hashlib
Gregory Szorc
similar: use absolute_import
r27359 from .i18n import _
from . import (
bdiff,
mdiff,
util,
)
David Greenaway
Move 'findrenames' code into its own file....
r11059
David Greenaway
findrenames: Optimise "addremove -s100" by matching files by their SHA1 hashes....
r11060 def _findexactmatches(repo, added, removed):
'''find renamed files that have no changes
Takes a list of new filectxs and a list of removed filectxs, and yields
(before, after) tuples of exact matches.
'''
numfiles = len(added) + len(removed)
# Get hashes of removed files.
hashes = {}
for i, fctx in enumerate(removed):
av6
similar: specify unit for ui.progress when operating on files
r28468 repo.ui.progress(_('searching for exact renames'), i, total=numfiles,
unit=_('files'))
Augie Fackler
cleanup: replace uses of util.(md5|sha1|sha256|sha512) with hashlib.\1...
r29341 h = hashlib.sha1(fctx.data()).digest()
David Greenaway
findrenames: Optimise "addremove -s100" by matching files by their SHA1 hashes....
r11060 hashes[h] = fctx
# For each added file, see if it corresponds to a removed file.
for i, fctx in enumerate(added):
repo.ui.progress(_('searching for exact renames'), i + len(removed),
av6
similar: specify unit for ui.progress when operating on files
r28468 total=numfiles, unit=_('files'))
Augie Fackler
cleanup: replace uses of util.(md5|sha1|sha256|sha512) with hashlib.\1...
r29341 h = hashlib.sha1(fctx.data()).digest()
David Greenaway
findrenames: Optimise "addremove -s100" by matching files by their SHA1 hashes....
r11060 if h in hashes:
yield (hashes[h], fctx)
# Done
repo.ui.progress(_('searching for exact renames'), None)
def _findsimilarmatches(repo, added, removed, threshold):
'''find potentially renamed files based on similar file content
Takes a list of new filectxs and a list of removed filectxs, and yields
(before, after, score) tuples of partial matches.
'''
David Greenaway
Move 'findrenames' code into its own file....
r11059 copies = {}
for i, r in enumerate(removed):
Brodie Rao
cleanup: eradicate long lines
r16683 repo.ui.progress(_('searching for similar files'), i,
av6
similar: specify unit for ui.progress when operating on files
r28468 total=len(removed), unit=_('files'))
David Greenaway
Move 'findrenames' code into its own file....
r11059
# lazily load text
@util.cachefunc
def data():
David Greenaway
findrenames: Optimise "addremove -s100" by matching files by their SHA1 hashes....
r11060 orig = r.data()
David Greenaway
Move 'findrenames' code into its own file....
r11059 return orig, mdiff.splitnewlines(orig)
def score(text):
orig, lines = data()
# bdiff.blocks() returns blocks of matching lines
# count the number of bytes in each
equal = 0
matches = bdiff.blocks(text, orig)
for x1, x2, y1, y2 in matches:
for line in lines[y1:y2]:
equal += len(line)
lengths = len(text) + len(orig)
return equal * 2.0 / lengths
for a in added:
bestscore = copies.get(a, (None, threshold))[1]
David Greenaway
findrenames: Optimise "addremove -s100" by matching files by their SHA1 hashes....
r11060 myscore = score(a.data())
David Greenaway
Move 'findrenames' code into its own file....
r11059 if myscore >= bestscore:
copies[a] = (r, myscore)
repo.ui.progress(_('searching'), None)
for dest, v in copies.iteritems():
source, score = v
yield source, dest, score
David Greenaway
findrenames: Optimise "addremove -s100" by matching files by their SHA1 hashes....
r11060 def findrenames(repo, added, removed, threshold):
'''find renamed files -- yields (before, after, score) tuples'''
parentctx = repo['.']
workingctx = repo[None]
David Greenaway
Move 'findrenames' code into its own file....
r11059
David Greenaway
findrenames: Optimise "addremove -s100" by matching files by their SHA1 hashes....
r11060 # Zero length files will be frequently unrelated to each other, and
# tracking the deletion/addition of such a file will probably cause more
# harm than good. We strip them out here to avoid matching them later on.
addedfiles = set([workingctx[fp] for fp in added
if workingctx[fp].size() > 0])
removedfiles = set([parentctx[fp] for fp in removed
if fp in parentctx and parentctx[fp].size() > 0])
# Find exact matches.
for (a, b) in _findexactmatches(repo,
Benoit Boissinot
fix coding style
r11085 sorted(addedfiles), sorted(removedfiles)):
David Greenaway
findrenames: Optimise "addremove -s100" by matching files by their SHA1 hashes....
r11060 addedfiles.remove(b)
yield (a.path(), b.path(), 1.0)
# If the user requested similar files to be matched, search for them also.
if threshold < 1.0:
for (a, b, score) in _findsimilarmatches(repo,
sorted(addedfiles), sorted(removedfiles), threshold):
yield (a.path(), b.path(), score)