Mercurial > hg
view hgext/churn.py @ 46582:b0a3ca02d17a
copies-rust: implement PartialEqual manually
Now that we know that each (dest, rev) pair has at most a unique CopySource, we
can simplify comparison a lot.
This "simple" step buy a good share of the previous slowdown back in some case:
Repo Case Source-Rev Dest-Rev # of revisions old time new time Difference Factor time per rev
---------------------------------------------------------------------------------------------------------------------------------------------------------------
mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 43.304637 s, 34.443661 s, -8.860976 s, × 0.7954, 90 µs/rev
Full benchmark:
Repo Case Source-Rev Dest-Rev # of revisions old time new time Difference Factor time per rev
---------------------------------------------------------------------------------------------------------------------------------------------------------------
mercurial x_revs_x_added_0_copies ad6b123de1c7 39cfcef4f463 : 1 revs, 0.000043 s, 0.000043 s, +0.000000 s, × 1.0000, 43 µs/rev
mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 6 revs, 0.000114 s, 0.000117 s, +0.000003 s, × 1.0263, 19 µs/rev
mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.004937 s, 0.004892 s, -0.000045 s, × 0.9909, 4 µs/rev
pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 9 revs, 0.000339 s, 0.000196 s, -0.000143 s, × 0.5782, 21 µs/rev
pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.000049 s, 0.000050 s, +0.000001 s, × 1.0204, 50 µs/rev
pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 7 revs, 0.000202 s, 0.000117 s, -0.000085 s, × 0.5792, 16 µs/rev
pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 1 revs, 0.000409 s, 0.6f1f4a s, -0.000087 s, × 0.7873, 322 µs/rev
pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 6 revs, 0.011984 s, 0.011949 s, -0.000035 s, × 0.9971, 1991 µs/rev
pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 4785 revs, 0.050820 s, 0.050802 s, -0.000018 s, × 0.9996, 10 µs/rev
pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 6780 revs, 0.087953 s, 0.088090 s, +0.000137 s, × 1.0016, 12 µs/rev
pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 5441 revs, 0.062902 s, 0.062079 s, -0.000823 s, × 0.9869, 11 µs/rev
pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 43645 revs, 0.679234 s, 0.635337 s, -0.043897 s, × 0.9354, 14 µs/rev
pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 2 revs, 0.013095 s, 0.013262 s, +0.000167 s, × 1.0128, 6631 µs/rev
pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 11316 revs, 0.120910 s, 0.120085 s, -0.000825 s, × 0.9932, 10 µs/rev
netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.000087 s, 0.000085 s, -0.000002 s, × 0.9770, 42 µs/rev
netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 2 revs, 0.000107 s, 0.000110 s, +0.000003 s, × 1.0280, 55 µs/rev
netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.000186 s, 0.000177 s, -0.000009 s, × 0.9516, 59 µs/rev
netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 9 revs, 0.000754 s, 0.000743 s, -0.000011 s, × 0.9854, 82 µs/rev
netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.010443 s, 0.010168 s, -0.000275 s, × 0.9737, 7 µs/rev
netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 1533 revs, 0.015697 s, 0.015946 s, +0.000249 s, × 1.0159, 10 µs/rev
netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 5750 revs, 0.063528 s, 0.062712 s, -0.000816 s, × 0.9872, 10 µs/rev
netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 66949 revs, 0.545515 s, 0.523832 s, -0.021683 s, × 0.9603, 7 µs/rev
mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 2 revs, 0.000089 s, 0.000090 s, +0.000001 s, × 1.0112, 45 µs/rev
mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 8 revs, 0.000265 s, 0.000264 s, -0.000001 s, × 0.9962, 33 µs/rev
mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 9 revs, 0.000381 s, 0.000187 s, -0.000194 s, × 0.4908, 20 µs/rev
mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 7 revs, 0.000672 s, 0.000665 s, -0.000007 s, × 0.9896, 95 µs/rev
mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.003497 s, 0.003556 s, +0.000059 s, × 1.0169, 1185 µs/rev
mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.073204 s, 0.071345 s, -0.001859 s, × 0.9746, 11890 µs/rev
mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.006482 s, 0.006551 s, +0.000069 s, × 1.0106, 4 µs/rev
mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.005066 s, 0.005078 s, +0.000012 s, × 1.0024, 123 µs/rev
mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 7839 revs, 0.065707 s, 0.065823 s, +0.000116 s, × 1.0018, 8 µs/rev
mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 0.026800 s, 0.027050 s, +0.000250 s, × 1.0093, 43 µs/rev
mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 30263 revs, 0.203856 s, 0.202443 s, -0.001413 s, × 0.9931, 6 µs/rev
mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 153721 revs, 1.293394 s, 1.261583 s, -0.031811 s, × 0.9754, 8 µs/rev
mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 204976 revs, 1.698239 s, 1.643869 s, -0.054370 s, × 0.9680, 8 µs/rev
mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 2 revs, 0.000875 s, 0.000868 s, -0.000007 s, × 0.9920, 434 µs/rev
mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.000891 s, 0.000887 s, -0.000004 s, × 0.9955, 443 µs/rev
mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 4 revs, 0.000292 s, 0.000168 s, -0.000124 s, × 0.5753, 42 µs/rev
mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 2 revs, 0.003939 s, 0.001160 s, -0.002779 s, × 0.2945, 580 µs/rev
mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1 revs, 0.033027 s, 0.033016 s, -0.000011 s, × 0.9997, 33016 µs/rev
mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.073703 s, 0.073312 s, -0.39ae31 s, × 0.9947, 12218 µs/rev
mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.006469 s, 0.006485 s, +0.000016 s, × 1.0025, 4 µs/rev
mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.005278 s, 0.005494 s, +0.000216 s, × 1.0409, 134 µs/rev
mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 6657 revs, 0.064995 s, 0.064879 s, -0.000116 s, × 0.9982, 9 µs/rev
mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 40314 revs, 0.301041 s, 0.301469 s, +0.000428 s, × 1.0014, 7 µs/rev
mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 38690 revs, 0.285575 s, 0.297113 s, +0.011538 s, × 1.0404, 7 µs/rev
mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 8598 revs, 0.085597 s, 0.085890 s, +0.000293 s, × 1.0034, 9 µs/rev
mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 0.027118 s, 0.027718 s, +0.000600 s, × 1.0221, 45 µs/rev
mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 2.119204 s, 2.048949 s, -0.070255 s, × 0.9668, 21 µs/rev
mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 52031 revs, 0.701479 s, 0.685924 s, -0.015555 s, × 0.9778, 13 µs/rev
mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 4.482399 s, 4.482891 s, +0.000492 s, × 1.0001, 12 µs/rev
mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 34414 revs, 0.574082 s, 0.577633 s, +0.003551 s, × 1.0062, 16 µs/rev
mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 4.480366 s, 4.397816 s, -0.082550 s, × 0.9816, 12 µs/rev
mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 4.369070 s, 4.370538 s, +0.001468 s, × 1.0003, 12 µs/rev
mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 1.592506 s, 1.570439 s, -0.022067 s, × 0.9861, 8 µs/rev
mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 228985 revs, 87.824489 s, 88.388512 s, +0.564023 s, × 1.0064, 386 µs/rev
mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 43.304637 s, 34.443661 s, -8.860976 s, × 0.7954, 90 µs/rev
private : 459513 revs, 33.853687 s, 27.370148 s, -6.483539 s, × 0.8085, 59 µs/rev
Differential Revision: https://phab.mercurial-scm.org/D9653
author | Pierre-Yves David <pierre-yves.david@octobus.net> |
---|---|
date | Wed, 16 Dec 2020 11:11:05 +0100 |
parents | b84c3d43ff2e |
children | 6000f5b25c9b |
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# churn.py - create a graph of revisions count grouped by template # # Copyright 2006 Josef "Jeff" Sipek <jeffpc@josefsipek.net> # Copyright 2008 Alexander Solovyov <piranha@piranha.org.ua> # # This software may be used and distributed according to the terms of the # GNU General Public License version 2 or any later version. '''command to display statistics about repository history''' from __future__ import absolute_import, division import datetime import os import time from mercurial.i18n import _ from mercurial.pycompat import open from mercurial import ( cmdutil, encoding, logcmdutil, patch, pycompat, registrar, scmutil, ) cmdtable = {} command = registrar.command(cmdtable) # Note for extension authors: ONLY specify testedwith = 'ships-with-hg-core' for # extensions which SHIP WITH MERCURIAL. Non-mainline extensions should # be specifying the version(s) of Mercurial they are tested with, or # leave the attribute unspecified. testedwith = b'ships-with-hg-core' def changedlines(ui, repo, ctx1, ctx2, fmatch): added, removed = 0, 0 diff = b''.join(patch.diff(repo, ctx1.node(), ctx2.node(), fmatch)) inhunk = False for l in diff.split(b'\n'): if inhunk and l.startswith(b"+"): added += 1 elif inhunk and l.startswith(b"-"): removed += 1 elif l.startswith(b"@"): inhunk = True elif l.startswith(b"d"): inhunk = False return (added, removed) def countrate(ui, repo, amap, *pats, **opts): """Calculate stats""" opts = pycompat.byteskwargs(opts) if opts.get(b'dateformat'): def getkey(ctx): t, tz = ctx.date() date = datetime.datetime(*time.gmtime(float(t) - tz)[:6]) return encoding.strtolocal( date.strftime(encoding.strfromlocal(opts[b'dateformat'])) ) else: tmpl = opts.get(b'oldtemplate') or opts.get(b'template') tmpl = logcmdutil.maketemplater(ui, repo, tmpl) def getkey(ctx): ui.pushbuffer() tmpl.show(ctx) return ui.popbuffer() progress = ui.makeprogress( _(b'analyzing'), unit=_(b'revisions'), total=len(repo) ) rate = {} def prep(ctx, fmatch): rev = ctx.rev() key = getkey(ctx).strip() key = amap.get(key, key) # alias remap if opts.get(b'changesets'): rate[key] = (rate.get(key, (0,))[0] + 1, 0) else: parents = ctx.parents() if len(parents) > 1: ui.note(_(b'revision %d is a merge, ignoring...\n') % (rev,)) return ctx1 = parents[0] lines = changedlines(ui, repo, ctx1, ctx, fmatch) rate[key] = [r + l for r, l in zip(rate.get(key, (0, 0)), lines)] progress.increment() wopts = logcmdutil.walkopts( pats=pats, opts=opts, revspec=opts[b'rev'], date=opts[b'date'], include_pats=opts[b'include'], exclude_pats=opts[b'exclude'], ) revs, makefilematcher = logcmdutil.makewalker(repo, wopts) for ctx in scmutil.walkchangerevs(repo, revs, makefilematcher, prep): continue progress.complete() return rate @command( b'churn', [ ( b'r', b'rev', [], _(b'count rate for the specified revision or revset'), _(b'REV'), ), ( b'd', b'date', b'', _(b'count rate for revisions matching date spec'), _(b'DATE'), ), ( b't', b'oldtemplate', b'', _(b'template to group changesets (DEPRECATED)'), _(b'TEMPLATE'), ), ( b'T', b'template', b'{author|email}', _(b'template to group changesets'), _(b'TEMPLATE'), ), ( b'f', b'dateformat', b'', _(b'strftime-compatible format for grouping by date'), _(b'FORMAT'), ), (b'c', b'changesets', False, _(b'count rate by number of changesets')), (b's', b'sort', False, _(b'sort by key (default: sort by count)')), (b'', b'diffstat', False, _(b'display added/removed lines separately')), (b'', b'aliases', b'', _(b'file with email aliases'), _(b'FILE')), ] + cmdutil.walkopts, _(b"hg churn [-d DATE] [-r REV] [--aliases FILE] [FILE]"), helpcategory=command.CATEGORY_MAINTENANCE, inferrepo=True, ) def churn(ui, repo, *pats, **opts): """histogram of changes to the repository This command will display a histogram representing the number of changed lines or revisions, grouped according to the given template. The default template will group changes by author. The --dateformat option may be used to group the results by date instead. Statistics are based on the number of changed lines, or alternatively the number of matching revisions if the --changesets option is specified. Examples:: # display count of changed lines for every committer hg churn -T "{author|email}" # display daily activity graph hg churn -f "%H" -s -c # display activity of developers by month hg churn -f "%Y-%m" -s -c # display count of lines changed in every year hg churn -f "%Y" -s # display count of lines changed in a time range hg churn -d "2020-04 to 2020-09" It is possible to map alternate email addresses to a main address by providing a file using the following format:: <alias email> = <actual email> Such a file may be specified with the --aliases option, otherwise a .hgchurn file will be looked for in the working directory root. Aliases will be split from the rightmost "=". """ def pad(s, l): return s + b" " * (l - encoding.colwidth(s)) amap = {} aliases = opts.get('aliases') if not aliases and os.path.exists(repo.wjoin(b'.hgchurn')): aliases = repo.wjoin(b'.hgchurn') if aliases: for l in open(aliases, b"rb"): try: alias, actual = l.rsplit(b'=' in l and b'=' or None, 1) amap[alias.strip()] = actual.strip() except ValueError: l = l.strip() if l: ui.warn(_(b"skipping malformed alias: %s\n") % l) continue rate = list(countrate(ui, repo, amap, *pats, **opts).items()) if not rate: return if opts.get('sort'): rate.sort() else: rate.sort(key=lambda x: (-sum(x[1]), x)) # Be careful not to have a zero maxcount (issue833) maxcount = float(max(sum(v) for k, v in rate)) or 1.0 maxname = max(len(k) for k, v in rate) ttywidth = ui.termwidth() ui.debug(b"assuming %i character terminal\n" % ttywidth) width = ttywidth - maxname - 2 - 2 - 2 if opts.get('diffstat'): width -= 15 def format(name, diffstat): added, removed = diffstat return b"%s %15s %s%s\n" % ( pad(name, maxname), b'+%d/-%d' % (added, removed), ui.label(b'+' * charnum(added), b'diffstat.inserted'), ui.label(b'-' * charnum(removed), b'diffstat.deleted'), ) else: width -= 6 def format(name, count): return b"%s %6d %s\n" % ( pad(name, maxname), sum(count), b'*' * charnum(sum(count)), ) def charnum(count): return int(count * width // maxcount) for name, count in rate: ui.write(format(name, count))