##// END OF EJS Templates
branchmap: use revbranchcache when updating branch map...
branchmap: use revbranchcache when updating branch map The revbranchcache is read on demand before it will be used for updating the branch map. It is written back when the branchmap is written and it will thus use the same locking as branchmap. The revbranchcache instance is short-lived; it is only stored in the branchmap from .update() is invoked and until .write() is invoked. Branchmap already assume that the repo is locked in that case. The use of revbranchcache for branch map updates will make sure that the revbranchcache "always" is kept up-to-date. The perfbranchmap benchmark is somewhat bogus, especially when we can see that the caching makes a significant difference between the realistic case of a first run and the rare case of rerunning it with a full cache. Here are some 'base' numbers on mozilla-central: Before: ! wall 6.912745 comb 6.910000 user 6.840000 sys 0.070000 (best of 3) After - initial, cache is empty: ! wall 7.792569 comb 7.790000 user 7.720000 sys 0.070000 (best of 3) After - cache is full: ! wall 0.879688 comb 0.880000 user 0.870000 sys 0.010000 (best of 4) The overhead when running with empty cache comes from checking, missing and updating it every time. Most of the performance improvement comes from not having to extract the branch info from the changelog. The last doubling of performance comes from no longer having to convert all branch names to local encoding but reuse the few already converted branch names. On the hg repo: Before: ! wall 0.715703 comb 0.710000 user 0.710000 sys 0.000000 (best of 14) After: ! wall 0.105489 comb 0.110000 user 0.110000 sys 0.000000 (best of 87)

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similar.py
104 lines | 3.6 KiB | text/x-python | PythonLexer
# 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.
from i18n import _
import util
import mdiff
import bdiff
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):
repo.ui.progress(_('searching for exact renames'), i, total=numfiles)
h = util.sha1(fctx.data()).digest()
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),
total=numfiles)
h = util.sha1(fctx.data()).digest()
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.
'''
copies = {}
for i, r in enumerate(removed):
repo.ui.progress(_('searching for similar files'), i,
total=len(removed))
# lazily load text
@util.cachefunc
def data():
orig = r.data()
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]
myscore = score(a.data())
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
def findrenames(repo, added, removed, threshold):
'''find renamed files -- yields (before, after, score) tuples'''
parentctx = repo['.']
workingctx = repo[None]
# 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,
sorted(addedfiles), sorted(removedfiles)):
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)