Mercurial > public > mercurial-scm > hg
annotate mercurial/filesetlang.py @ 45892:06b64fabf91c
copies: cache the ancestor checking call when tracing copy
A good share of the time spent in this function is spent doing ancestors
checking. To avoid spending time in duplicated call, we cache the result of
calls.
In the slower case, this provide a quite significant performance boost. Below
are the result for a set of selected pairs (many of them pathological):
(And further down is another table that summarize the current state of filelog
based vs changeset base copy tracing)
The benchmark have been configured to be killed after 6 minutes of runtime,
which mean that any detect slower than 2 minutes will be marked as "killed".
This drop some useful information about how much slower these case are? but also
prevent 99% of the benchmark time to be spent on case that can be labelled "very
slow" anyway.
Repo Case Source-Rev Dest-Rev Old-Time New-Time Difference Factor
------------------------------------------------------------------------------------------------------------------------------------
mercurial x_revs_x_added_0_copies ad6b123de1c7 39cfcef4f463 : 0.000044 s, 0.000044 s, +0.000000 s, ? 1.0000
mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 0.000138 s, 0.000138 s, +0.000000 s, ? 1.0000
mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 0.005067 s, 0.005052 s, -0.000015 s, ? 0.9970
pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 0.000218 s, 0.000219 s, +0.000001 s, ? 1.0046
pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 0.000053 s, 0.000055 s, +0.000002 s, ? 1.0377
pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 0.000125 s, 0.000128 s, +0.000003 s, ? 1.0240
pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 0.001098 s, 0.001089 s, -0.000009 s, ? 0.9918
pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 0.017546 s, 0.017407 s, -0.000139 s, ? 0.9921
pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 0.096723 s, 0.094175 s, -0.002548 s, ? 0.9737
pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 0.271796 s, 0.238009 s, -0.033787 s, ? 0.8757
pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 0.128602 s, 0.125876 s, -0.002726 s, ? 0.9788
pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 7.086742 s, 3.581556 s, -3.505186 s, ? 0.5054
pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 0.016634 s, 0.016721 s, +0.000087 s, ? 1.0052
pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 0.254225 s, 0.242367 s, -0.011858 s, ? 0.9534
netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 0.000166 s, 0.000165 s, -0.000001 s, ? 0.9940
netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 0.000118 s, 0.000114 s, -0.000004 s, ? 0.9661
netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 0.000296 s, 0.000296 s, +0.000000 s, ? 1.0000
netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 0.001137 s, 0.001124 s, -0.000013 s, ? 0.9886
netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 0.014133 s, 0.013060 s, -0.001073 s, ? 0.9241
netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 0.016988 s, 0.017112 s, +0.000124 s, ? 1.0073
netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 0.676361 s, 0.660350 s, -0.016011 s, ? 0.9763
netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 12.515149 s, 10.032499 s, -2.482650 s, ? 0.8016
mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 0.000186 s, 0.000189 s, +0.000003 s, ? 1.0161
mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 0.000459 s, 0.000462 s, +0.000003 s, ? 1.0065
mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 0.000273 s, 0.000270 s, -0.000003 s, ? 0.9890
mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 0.001503 s, 0.001474 s, -0.000029 s, ? 0.9807
mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 0.004862 s, 0.004806 s, -0.000056 s, ? 0.9885
mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 0.088291 s, 0.085150 s, -0.003141 s, ? 0.9644
mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 0.007113 s, 0.007064 s, -0.000049 s, ? 0.9931
mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 0.004687 s, 0.004741 s, +0.000054 s, ? 1.0115
mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 0.198710 s, 0.190133 s, -0.008577 s, ? 0.9568
mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 0.036068 s, 0.035651 s, -0.000417 s, ? 0.9884
mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 0.465362 s, 0.440694 s, -0.024668 s, ? 0.9470
mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 24.519684 s, 18.454163 s, -6.065521 s, ? 0.7526
mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 42.711897 s, 31.562719 s, -11.149178 s, ? 0.7390
mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 0.001201 s, 0.001189 s, -0.000012 s, ? 0.9900
mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 0.001216 s, 0.001204 s, -0.000012 s, ? 0.9901
mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 0.000595 s, 0.000586 s, -0.000009 s, ? 0.9849
mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 0.001856 s, 0.001845 s, -0.000011 s, ? 0.9941
mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 0.064936 s, 0.063822 s, -0.001114 s, ? 0.9828
mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 0.090601 s, 0.088038 s, -0.002563 s, ? 0.9717
mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 0.007510 s, 0.007389 s, -0.000121 s, ? 0.9839
mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 0.004911 s, 0.004868 s, -0.000043 s, ? 0.9912
mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 0.233231 s, 0.222450 s, -0.010781 s, ? 0.9538
mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 0.419989 s, 0.370675 s, -0.049314 s, ? 0.8826
mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 0.401521 s, 0.358020 s, -0.043501 s, ? 0.8917
mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 0.179555 s, 0.145235 s, -0.034320 s, ? 0.8089
mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 0.038004 s, 0.037606 s, -0.000398 s, ? 0.9895
mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 52.838482 s, 7.382439 s, -45.456043 s, ? 0.1397
mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 8.705874 s, 7.273506 s, -1.432368 s, ? 0.8355
mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 1.126708 s, 1.074593 s, -0.052115 s, ? 0.9537
mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 83.854020 s, 27.746195 s, -56.107825 s, ? 0.3309
Below is a table comparing the runtime of the current "filelog centric"
algorithm, with the "changeset centric" one, we just modified.
The changeset centric algorithm is a significant win in many scenario, but they
are still various cases where it is quite slower. When many revision has to be
considered the cost of retrieving the copy information, creating new
dictionaries, merging dictionaries and checking if revision are ancestors of
each other can slow things down.
The rest of this series, will introduce a rust version of the copy tracing code
to deal with most of theses issues.
Repo Case Source-Rev Dest-Rev filelog sidedata Difference Factor
---------------------------------------------------------------------------------------------------------------------------------------
mercurial x_revs_x_added_0_copies ad6b123de1c7 39cfcef4f463 : 0.000914 s, 0.000044 s, - 0.000870 s, ? 0.048140
mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 0.001812 s, 0.000138 s, - 0.001674 s, ? 0.076159
mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 0.017954 s, 0.005052 s, - 0.012902 s, ? 0.281386
pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 0.001509 s, 0.000219 s, - 0.001290 s, ? 0.145129
pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 0.206881 s, 0.000055 s, - 0.206826 s, ? 0.000266
pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 0.016951 s, 0.000128 s, - 0.016823 s, ? 0.007551
pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 0.019096 s, 0.001089 s, - 0.018007 s, ? 0.057028
pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 0.762506 s, 0.017407 s, - 0.745099 s, ? 0.022829
pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 1.179211 s, 0.094175 s, - 1.085036 s, ? 0.079863
pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 1.249058 s, 0.238009 s, - 1.011049 s, ? 0.190551
pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 1.614107 s, 0.125876 s, - 1.488231 s, ? 0.077985
pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 0.001064 s, 3.581556 s, + 3.580492 s, ? 3366.124060
pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 1.061275 s, 0.016721 s, - 1.044554 s, ? 0.015756
pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 1.341119 s, 0.242367 s, - 1.098752 s, ? 0.180720
netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 0.027803 s, 0.000165 s, - 0.027638 s, ? 0.005935
netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 0.130014 s, 0.000114 s, - 0.129900 s, ? 0.000877
netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 0.024990 s, 0.000296 s, - 0.024694 s, ? 0.011845
netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 0.052201 s, 0.001124 s, - 0.051077 s, ? 0.021532
netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 0.037642 s, 0.013060 s, - 0.024582 s, ? 0.346953
netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 0.197086 s, 0.017112 s, - 0.179974 s, ? 0.086825
netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 0.935148 s, 0.660350 s, - 0.274798 s, ? 0.706145
netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 3.920674 s, 10.032499 s, + 6.111825 s, ? 2.558871
mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 0.024232 s, 0.000189 s, - 0.024043 s, ? 0.007800
mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 0.141483 s, 0.000462 s, - 0.141021 s, ? 0.003265
mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 0.025775 s, 0.000270 s, - 0.025505 s, ? 0.010475
mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 0.084922 s, 0.001474 s, - 0.083448 s, ? 0.017357
mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 0.194784 s, 0.004806 s, - 0.189978 s, ? 0.024673
mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 2.161103 s, 0.085150 s, - 2.075953 s, ? 0.039401
mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 0.089347 s, 0.007064 s, - 0.082283 s, ? 0.079063
mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 0.732171 s, 0.004741 s, - 0.727430 s, ? 0.006475
mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 1.157287 s, 0.190133 s, - 0.967154 s, ? 0.164292
mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 6.726568 s, 0.035651 s, - 6.690917 s, ? 0.005300
mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 3.266229 s, 0.440694 s, - 2.825535 s, ? 0.134924
mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 15.860534 s, 18.454163 s, + 2.593629 s, ? 1.163527
mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 20.450475 s, 31.562719 s, +11.112244 s, ? 1.543373
mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 0.080442 s, 0.001189 s, - 0.079253 s, ? 0.014781
mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 0.497672 s, 0.001204 s, - 0.496468 s, ? 0.002419
mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 0.021183 s, 0.000586 s, - 0.020597 s, ? 0.027664
mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 0.230991 s, 0.001845 s, - 0.229146 s, ? 0.007987
mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1.118461 s, 0.063822 s, - 1.054639 s, ? 0.057062
mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 2.206083 s, 0.088038 s, - 2.118045 s, ? 0.039907
mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 0.089404 s, 0.007389 s, - 0.082015 s, ? 0.082647
mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 0.733043 s, 0.004868 s, - 0.728175 s, ? 0.006641
mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 1.163367 s, 0.222450 s, - 0.940917 s, ? 0.191212
mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 0.085456 s, 0.370675 s, + 0.285219 s, ? 4.337612
mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 0.083601 s, 0.358020 s, + 0.274419 s, ? 4.282485
mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 7.366614 s, 0.145235 s, - 7.221379 s, ? 0.019715
mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 6.664464 s, 0.037606 s, - 6.626858 s, ? 0.005643
mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 7.467836 s, 7.382439 s, - 0.085397 s, ? 0.988565
mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 9.801294 s, 7.273506 s, - 2.527788 s, ? 0.742097
mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 0.091886 s, killed
mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 26.491140 s, 1.074593 s, -25.416547 s, ? 0.040564
mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 0.092863 s, killed
mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 0.226823 s, killed
mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 18.914630 s, 27.746195 s, + 8.831565 s, ? 1.466917
mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 21.198903 s, killed
mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 24.952268 s, killed
Differential Revision: https://phab.mercurial-scm.org/D9296
author | Pierre-Yves David <pierre-yves.david@octobus.net> |
---|---|
date | Mon, 02 Nov 2020 11:03:56 +0100 |
parents | c59eb1560c44 |
children | d4ba4d51f85f |
rev | line source |
---|---|
38805
b9162ea1b815
fileset: extract language processing part to new module (API)
Yuya Nishihara <yuya@tcha.org>
parents:
38804
diff
changeset
|
1 # filesetlang.py - parser, tokenizer and utility for file set language |
11275 | 2 # |
3 # Copyright 2010 Matt Mackall <mpm@selenic.com> | |
4 # | |
5 # This software may be used and distributed according to the terms of the | |
6 # GNU General Public License version 2 or any later version. | |
7 | |
25938
e194ada8d45f
fileset: use absolute_import
Gregory Szorc <gregory.szorc@gmail.com>
parents:
25815
diff
changeset
|
8 from __future__ import absolute_import |
e194ada8d45f
fileset: use absolute_import
Gregory Szorc <gregory.szorc@gmail.com>
parents:
25815
diff
changeset
|
9 |
e194ada8d45f
fileset: use absolute_import
Gregory Szorc <gregory.szorc@gmail.com>
parents:
25815
diff
changeset
|
10 from .i18n import _ |
43089
c59eb1560c44
py3: manually import getattr where it is needed
Gregory Szorc <gregory.szorc@gmail.com>
parents:
43077
diff
changeset
|
11 from .pycompat import getattr |
25938
e194ada8d45f
fileset: use absolute_import
Gregory Szorc <gregory.szorc@gmail.com>
parents:
25815
diff
changeset
|
12 from . import ( |
e194ada8d45f
fileset: use absolute_import
Gregory Szorc <gregory.szorc@gmail.com>
parents:
25815
diff
changeset
|
13 error, |
e194ada8d45f
fileset: use absolute_import
Gregory Szorc <gregory.szorc@gmail.com>
parents:
25815
diff
changeset
|
14 parser, |
32523
1fb0a85fb20e
py3: use pycompat.bytestr so that we don't get ascii values
Pulkit Goyal <7895pulkit@gmail.com>
parents:
32291
diff
changeset
|
15 pycompat, |
37084
f0b6fbea00cf
stringutil: bulk-replace call sites to point to new module
Yuya Nishihara <yuya@tcha.org>
parents:
36505
diff
changeset
|
16 ) |
11275 | 17 |
38863
61ab546b71c3
fileset: introduce weight constants for readability
Yuya Nishihara <yuya@tcha.org>
parents:
38832
diff
changeset
|
18 # common weight constants for static optimization |
61ab546b71c3
fileset: introduce weight constants for readability
Yuya Nishihara <yuya@tcha.org>
parents:
38832
diff
changeset
|
19 # (see registrar.filesetpredicate for details) |
61ab546b71c3
fileset: introduce weight constants for readability
Yuya Nishihara <yuya@tcha.org>
parents:
38832
diff
changeset
|
20 WEIGHT_CHECK_FILENAME = 0.5 |
61ab546b71c3
fileset: introduce weight constants for readability
Yuya Nishihara <yuya@tcha.org>
parents:
38832
diff
changeset
|
21 WEIGHT_READ_CONTENTS = 30 |
61ab546b71c3
fileset: introduce weight constants for readability
Yuya Nishihara <yuya@tcha.org>
parents:
38832
diff
changeset
|
22 WEIGHT_STATUS = 10 |
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23 WEIGHT_STATUS_THOROUGH = 50 |
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24 |
11275 | 25 elements = { |
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26 # token-type: binding-strength, primary, prefix, infix, suffix |
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27 b"(": (20, None, (b"group", 1, b")"), (b"func", 1, b")"), None), |
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28 b":": (15, None, None, (b"kindpat", 15), None), |
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29 b"-": (5, None, (b"negate", 19), (b"minus", 5), None), |
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30 b"not": (10, None, (b"not", 10), None, None), |
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31 b"!": (10, None, (b"not", 10), None, None), |
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32 b"and": (5, None, None, (b"and", 5), None), |
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33 b"&": (5, None, None, (b"and", 5), None), |
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34 b"or": (4, None, None, (b"or", 4), None), |
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35 b"|": (4, None, None, (b"or", 4), None), |
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36 b"+": (4, None, None, (b"or", 4), None), |
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37 b",": (2, None, None, (b"list", 2), None), |
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38 b")": (0, None, None, None, None), |
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39 b"symbol": (0, b"symbol", None, None, None), |
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40 b"string": (0, b"string", None, None, None), |
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41 b"end": (0, None, None, None, None), |
11275 | 42 } |
43 | |
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44 keywords = {b'and', b'or', b'not'} |
11275 | 45 |
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46 symbols = {} |
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47 |
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48 globchars = b".*{}[]?/\\_" |
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49 |
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50 |
11275 | 51 def tokenize(program): |
52 pos, l = 0, len(program) | |
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53 program = pycompat.bytestr(program) |
11275 | 54 while pos < l: |
55 c = program[pos] | |
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56 if c.isspace(): # skip inter-token whitespace |
11275 | 57 pass |
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58 elif c in b"(),-:|&+!": # handle simple operators |
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59 yield (c, None, pos) |
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60 elif ( |
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61 c in b'"\'' |
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62 or c == b'r' |
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63 and program[pos : pos + 2] in (b"r'", b'r"') |
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64 ): # handle quoted strings |
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65 if c == b'r': |
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66 pos += 1 |
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67 c = program[pos] |
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68 decode = lambda x: x |
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69 else: |
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70 decode = parser.unescapestr |
11275 | 71 pos += 1 |
72 s = pos | |
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73 while pos < l: # find closing quote |
11275 | 74 d = program[pos] |
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75 if d == b'\\': # skip over escaped characters |
11275 | 76 pos += 2 |
77 continue | |
78 if d == c: | |
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79 yield (b'string', decode(program[s:pos]), s) |
11275 | 80 break |
81 pos += 1 | |
82 else: | |
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83 raise error.ParseError(_(b"unterminated string"), s) |
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84 elif c.isalnum() or c in globchars or ord(c) > 127: |
14513 | 85 # gather up a symbol/keyword |
11275 | 86 s = pos |
87 pos += 1 | |
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88 while pos < l: # find end of symbol |
11275 | 89 d = program[pos] |
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90 if not (d.isalnum() or d in globchars or ord(d) > 127): |
11275 | 91 break |
92 pos += 1 | |
93 sym = program[s:pos] | |
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94 if sym in keywords: # operator keywords |
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95 yield (sym, None, s) |
11275 | 96 else: |
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97 yield (b'symbol', sym, s) |
11275 | 98 pos -= 1 |
99 else: | |
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100 raise error.ParseError(_(b"syntax error"), pos) |
11275 | 101 pos += 1 |
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102 yield (b'end', None, pos) |
11275 | 103 |
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104 |
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105 def parse(expr): |
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106 p = parser.parser(elements) |
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107 tree, pos = p.parse(tokenize(expr)) |
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108 if pos != len(expr): |
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109 raise error.ParseError(_(b"invalid token"), pos) |
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110 return parser.simplifyinfixops(tree, {b'list', b'or'}) |
11275 | 111 |
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112 |
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113 def getsymbol(x): |
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114 if x and x[0] == b'symbol': |
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115 return x[1] |
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116 raise error.ParseError(_(b'not a symbol')) |
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117 |
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118 |
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119 def getstring(x, err): |
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120 if x and (x[0] == b'string' or x[0] == b'symbol'): |
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121 return x[1] |
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122 raise error.ParseError(err) |
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123 |
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124 |
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125 def getkindpat(x, y, allkinds, err): |
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126 kind = getsymbol(x) |
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127 pat = getstring(y, err) |
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128 if kind not in allkinds: |
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129 raise error.ParseError(_(b"invalid pattern kind: %s") % kind) |
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130 return b'%s:%s' % (kind, pat) |
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131 |
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132 |
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133 def getpattern(x, allkinds, err): |
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134 if x and x[0] == b'kindpat': |
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135 return getkindpat(x[1], x[2], allkinds, err) |
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136 return getstring(x, err) |
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137 |
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138 |
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139 def getlist(x): |
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140 if not x: |
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141 return [] |
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142 if x[0] == b'list': |
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143 return list(x[1:]) |
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144 return [x] |
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145 |
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146 |
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147 def getargs(x, min, max, err): |
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148 l = getlist(x) |
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149 if len(l) < min or len(l) > max: |
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150 raise error.ParseError(err) |
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151 return l |
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152 |
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153 |
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154 def _analyze(x): |
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155 if x is None: |
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156 return x |
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157 |
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158 op = x[0] |
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159 if op in {b'string', b'symbol'}: |
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160 return x |
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161 if op == b'kindpat': |
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162 getsymbol(x[1]) # kind must be a symbol |
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163 t = _analyze(x[2]) |
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164 return (op, x[1], t) |
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165 if op == b'group': |
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166 return _analyze(x[1]) |
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167 if op == b'negate': |
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168 raise error.ParseError(_(b"can't use negate operator in this context")) |
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169 if op == b'not': |
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170 t = _analyze(x[1]) |
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171 return (op, t) |
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172 if op == b'and': |
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173 ta = _analyze(x[1]) |
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174 tb = _analyze(x[2]) |
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175 return (op, ta, tb) |
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176 if op == b'minus': |
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177 return _analyze((b'and', x[1], (b'not', x[2]))) |
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178 if op in {b'list', b'or'}: |
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179 ts = tuple(_analyze(y) for y in x[1:]) |
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180 return (op,) + ts |
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181 if op == b'func': |
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182 getsymbol(x[1]) # function name must be a symbol |
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183 ta = _analyze(x[2]) |
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184 return (op, x[1], ta) |
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185 raise error.ProgrammingError(b'invalid operator %r' % op) |
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186 |
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187 |
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188 def _insertstatushints(x): |
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189 """Insert hint nodes where status should be calculated (first path) |
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190 |
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191 This works in bottom-up way, summing up status names and inserting hint |
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192 nodes at 'and' and 'or' as needed. Thus redundant hint nodes may be left. |
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193 |
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194 Returns (status-names, new-tree) at the given subtree, where status-names |
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195 is a sum of status names referenced in the given subtree. |
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196 """ |
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197 if x is None: |
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198 return (), x |
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199 |
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200 op = x[0] |
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201 if op in {b'string', b'symbol', b'kindpat'}: |
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202 return (), x |
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203 if op == b'not': |
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204 h, t = _insertstatushints(x[1]) |
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205 return h, (op, t) |
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206 if op == b'and': |
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207 ha, ta = _insertstatushints(x[1]) |
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208 hb, tb = _insertstatushints(x[2]) |
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209 hr = ha + hb |
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210 if ha and hb: |
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211 return hr, (b'withstatus', (op, ta, tb), (b'string', b' '.join(hr))) |
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212 return hr, (op, ta, tb) |
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213 if op == b'or': |
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214 hs, ts = zip(*(_insertstatushints(y) for y in x[1:])) |
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215 hr = sum(hs, ()) |
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216 if sum(bool(h) for h in hs) > 1: |
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217 return hr, (b'withstatus', (op,) + ts, (b'string', b' '.join(hr))) |
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218 return hr, (op,) + ts |
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219 if op == b'list': |
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220 hs, ts = zip(*(_insertstatushints(y) for y in x[1:])) |
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221 return sum(hs, ()), (op,) + ts |
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222 if op == b'func': |
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223 f = getsymbol(x[1]) |
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224 # don't propagate 'ha' crossing a function boundary |
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225 ha, ta = _insertstatushints(x[2]) |
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226 if getattr(symbols.get(f), '_callstatus', False): |
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227 return (f,), (b'withstatus', (op, x[1], ta), (b'string', f)) |
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228 return (), (op, x[1], ta) |
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229 raise error.ProgrammingError(b'invalid operator %r' % op) |
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230 |
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231 |
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232 def _mergestatushints(x, instatus): |
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233 """Remove redundant status hint nodes (second path) |
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234 |
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235 This is the top-down path to eliminate inner hint nodes. |
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236 """ |
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237 if x is None: |
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238 return x |
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239 |
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240 op = x[0] |
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241 if op == b'withstatus': |
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242 if instatus: |
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243 # drop redundant hint node |
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244 return _mergestatushints(x[1], instatus) |
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245 t = _mergestatushints(x[1], instatus=True) |
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246 return (op, t, x[2]) |
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247 if op in {b'string', b'symbol', b'kindpat'}: |
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248 return x |
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249 if op == b'not': |
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250 t = _mergestatushints(x[1], instatus) |
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251 return (op, t) |
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252 if op == b'and': |
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253 ta = _mergestatushints(x[1], instatus) |
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254 tb = _mergestatushints(x[2], instatus) |
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255 return (op, ta, tb) |
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256 if op in {b'list', b'or'}: |
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257 ts = tuple(_mergestatushints(y, instatus) for y in x[1:]) |
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258 return (op,) + ts |
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259 if op == b'func': |
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260 # don't propagate 'instatus' crossing a function boundary |
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261 ta = _mergestatushints(x[2], instatus=False) |
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262 return (op, x[1], ta) |
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263 raise error.ProgrammingError(b'invalid operator %r' % op) |
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264 |
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265 |
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266 def analyze(x): |
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267 """Transform raw parsed tree to evaluatable tree which can be fed to |
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268 optimize() or getmatch() |
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269 |
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270 All pseudo operations should be mapped to real operations or functions |
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271 defined in methods or symbols table respectively. |
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272 """ |
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273 t = _analyze(x) |
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274 _h, t = _insertstatushints(t) |
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275 return _mergestatushints(t, instatus=False) |
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276 |
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277 |
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278 def _optimizeandops(op, ta, tb): |
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279 if tb is not None and tb[0] == b'not': |
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280 return (b'minus', ta, tb[1]) |
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281 return (op, ta, tb) |
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282 |
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283 |
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284 def _optimizeunion(xs): |
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285 # collect string patterns so they can be compiled into a single regexp |
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286 ws, ts, ss = [], [], [] |
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287 for x in xs: |
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288 w, t = _optimize(x) |
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289 if t is not None and t[0] in {b'string', b'symbol', b'kindpat'}: |
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290 ss.append(t) |
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291 continue |
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292 ws.append(w) |
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293 ts.append(t) |
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294 if ss: |
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295 ws.append(WEIGHT_CHECK_FILENAME) |
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296 ts.append((b'patterns',) + tuple(ss)) |
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297 return ws, ts |
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298 |
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299 |
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300 def _optimize(x): |
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301 if x is None: |
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302 return 0, x |
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303 |
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304 op = x[0] |
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305 if op == b'withstatus': |
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306 w, t = _optimize(x[1]) |
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307 return w, (op, t, x[2]) |
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308 if op in {b'string', b'symbol'}: |
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309 return WEIGHT_CHECK_FILENAME, x |
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310 if op == b'kindpat': |
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311 w, t = _optimize(x[2]) |
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312 return w, (op, x[1], t) |
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313 if op == b'not': |
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314 w, t = _optimize(x[1]) |
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315 return w, (op, t) |
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316 if op == b'and': |
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317 wa, ta = _optimize(x[1]) |
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318 wb, tb = _optimize(x[2]) |
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319 if wa <= wb: |
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320 return wa, _optimizeandops(op, ta, tb) |
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321 else: |
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322 return wb, _optimizeandops(op, tb, ta) |
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323 if op == b'or': |
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324 ws, ts = _optimizeunion(x[1:]) |
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325 if len(ts) == 1: |
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326 return ws[0], ts[0] # 'or' operation is fully optimized out |
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327 ts = tuple( |
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328 it[1] for it in sorted(enumerate(ts), key=lambda it: ws[it[0]]) |
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329 ) |
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330 return max(ws), (op,) + ts |
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331 if op == b'list': |
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332 ws, ts = zip(*(_optimize(y) for y in x[1:])) |
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333 return sum(ws), (op,) + ts |
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334 if op == b'func': |
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335 f = getsymbol(x[1]) |
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336 w = getattr(symbols.get(f), '_weight', 1) |
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337 wa, ta = _optimize(x[2]) |
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338 return w + wa, (op, x[1], ta) |
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339 raise error.ProgrammingError(b'invalid operator %r' % op) |
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340 |
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341 |
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342 def optimize(x): |
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343 """Reorder/rewrite evaluatable tree for optimization |
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344 |
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345 All pseudo operations should be transformed beforehand. |
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346 """ |
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347 _w, t = _optimize(x) |
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348 return t |
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349 |
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350 |
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351 def prettyformat(tree): |
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352 return parser.prettyformat(tree, (b'string', b'symbol')) |