view mercurial/namespaces.py @ 46057:e0313b0a6f7e

copies-rust: parse the changed-file sidedata directly in rust It does not make much sense to parse the data into python object using slow python code to later turn them into rust object. We directly pass the binary blob and use it directly in Rust. Ideally we could directly read the sidedata in Rust, using a revlog in Rust. However we do not have this ready to use yet. This more direct approach provides a nice speedup over the board. Especially five cases that we previously too slow to return in the previous changeset are not able to finish. Notably, we are now significantly faster than the Python version of this code in all the meaningful cases. I looked at the various cases that remains significantly slower then the filelog version and they are currently 3 main source of slowness: * The isancestor computation: even if we cache them, if the revs spawn over a large amount of history the ancestry checking is still quite expensive. Using a different approach more centered on the graph we are currently considering might yield significant speed. * Merging of the map from the two parents: in some case, this climb up to ⅔ of the time spent in copy tracing. See inline comment for idea to handle this better. * Extracting data from the filelog. I would like to think this mostly comes from the fact my test repositories pre-date Valentin Gatien-Baron improvement of the `files` field (99ebde4fec99) and that more recent revisions will be faster to fetch. Further testing on this aspect is needed. This revision compared to the previous one: =========================================== 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, 0.000047 s, 0.000049 s, +0.000002 s, × 1.0426, 49 µs/rev mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 6 revs, 0.000181 s, 0.000114 s, -0.000067 s, × 0.6298, 19 µs/rev mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.005852 s, 0.004223 s, -0.001629 s, × 0.7216, 4 µs/rev pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 9 revs, 0.000229 s, 0.000305 s, +0.000076 s, × 1.3319, 33 µs/rev pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.000058 s, 0.000060 s, +0.000002 s, × 1.0345, 60 µs/rev pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 7 revs, 0.000146 s, 0.000173 s, +0.000027 s, × 1.1849, 24 µs/rev pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 1 revs, 0.001206 s, 0.000446 s, -0.000760 s, × 0.3698, 446 µs/rev pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 6 revs, 0.025275 s, 0.010360 s, -0.014915 s, × 0.4099, 1726 µs/rev pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 4785 revs, 0.080303 s, 0.048002 s, -0.032301 s, × 0.5978, 10 µs/rev pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 6780 revs, 0.152641 s, 0.075705 s, -0.076936 s, × 0.4960, 11 µs/rev pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 5441 revs, 0.099107 s, 0.056705 s, -0.042402 s, × 0.5722, 10 µs/rev pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 43646 revs, 2.137894 s, 0.794685 s, -1.343209 s, × 0.3717, 18 µs/rev pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 26389 revs, 0.022202 s, 0.020209 s, -0.001993 s, × 0.9102, 0 µs/rev pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 11316 revs, 0.228946 s, 0.122475 s, -0.106471 s, × 0.5350, 10 µs/rev netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.000186 s, 0.000142 s, -0.000044 s, × 0.7634, 71 µs/rev netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 2 revs, 0.000133 s, 0.000113 s, -0.000020 s, × 0.8496, 56 µs/rev netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.000320 s, 0.000241 s, -0.000079 s, × 0.7531, 80 µs/rev netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 9 revs, 0.001339 s, 0.000729 s, -0.000610 s, × 0.5444, 81 µs/rev netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.015694 s, 0.010198 s, -0.005496 s, × 0.6498, 7 µs/rev netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 1533 revs, 0.018457 s, 0.015312 s, -0.003145 s, × 0.8296, 9 µs/rev netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 5750 revs, 0.111691 s, 0.060517 s, -0.051174 s, × 0.5418, 10 µs/rev netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 67005 revs, 1.166017 s, 0.611102 s, -0.554915 s, × 0.5241, 9 µs/rev mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 2 revs, 0.000197 s, 0.000164 s, -0.000033 s, × 0.8325, 82 µs/rev mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 8 revs, 0.000626 s, 0.000334 s, -0.000292 s, × 0.5335, 41 µs/rev mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 9 revs, 0.000303 s, 0.000463 s, +0.000160 s, × 1.5281, 51 µs/rev mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 7 revs, 0.001679 s, 0.000730 s, -0.000949 s, × 0.4348, 104 µs/rev mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.006947 s, 0.003522 s, -0.003425 s, × 0.5070, 1174 µs/rev mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.133070 s, 0.072518 s, -0.060552 s, × 0.5450, 12086 µs/rev mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.008705 s, 0.005760 s, -0.002945 s, × 0.6617, 3 µs/rev mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 8315 revs, 0.005913 s, 0.005720 s, -0.000193 s, × 0.9674, 0 µs/rev mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 7839 revs, 0.101373 s, 0.063310 s, -0.038063 s, × 0.6245, 8 µs/rev mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 45299 revs, 0.046526 s, 0.043608 s, -0.002918 s, × 0.9373, 0 µs/rev mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 30263 revs, 0.313954 s, 0.204831 s, -0.109123 s, × 0.6524, 6 µs/rev mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 153721 revs, 3.367395 s, 2.161906 s, -1.205489 s, × 0.6420, 14 µs/rev mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 210546 revs, 4.691820 s, 3.291831 s, -1.399989 s, × 0.7016, 15 µs/rev mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 2 revs, 0.001199 s, 0.001213 s, +0.000014 s, × 1.0117, 606 µs/rev mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.001216 s, 0.001225 s, +0.000009 s, × 1.0074, 612 µs/rev mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 4 revs, 0.000613 s, 0.000564 s, -0.000049 s, × 0.9201, 141 µs/rev mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 2 revs, 0.001906 s, 0.001549 s, -0.000357 s, × 0.8127, 774 µs/rev mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1 revs, 0.092766 s, 0.035918 s, -0.056848 s, × 0.3872, 35918 µs/rev mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.136074 s, 0.073788 s, -0.062286 s, × 0.5423, 12298 µs/rev mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.009067 s, 0.006151 s, -0.002916 s, × 0.6784, 3 µs/rev mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 8315 revs, 0.006243 s, 0.006165 s, -0.000078 s, × 0.9875, 0 µs/rev mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 6657 revs, 0.114463 s, 0.065421 s, -0.049042 s, × 0.5715, 9 µs/rev mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 40314 revs, 0.433683 s, 0.313749 s, -0.119934 s, × 0.7235, 7 µs/rev mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 38690 revs, 0.411278 s, 0.297867 s, -0.113411 s, × 0.7242, 7 µs/rev mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 54487 revs, 0.155133 s, 0.111300 s, -0.043833 s, × 0.7174, 2 µs/rev mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 45299 revs, 0.048933 s, 0.046202 s, -0.002731 s, × 0.9442, 1 µs/rev mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 8.100385 s, 1.999640 s, -6.100745 s, × 0.2469, 20 µs/rev mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 52031 revs, 1.446720 s, 0.809134 s, -0.637586 s, × 0.5593, 15 µs/rev mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, killed , 47.406785 s, , , 130 µs/rev mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 444327 revs, 1.369537 s, 0.996219 s, -0.373318 s, × 0.7274, 2 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, killed , 47.273399 s, , , 130 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, killed , 47.419099 s, , , 131 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 5.186079 s, 3.512653 s, -1.673426 s, × 0.6773, 18 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 237259 revs, killed , 44.459049 s, , , 187 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 391148 revs, killed , 52.837926 s, , , 135 µs/rev This revision compared to the python code: ========================================== Repo Case Source-Rev Dest-Rev # of revisions Python-Time Rust-Time Difference Factor time per rev -------------------------------------------------------------------------------------------------------------------------------------------------------------- mercurial x_revs_x_added_0_copies ad6b123de1c7 39cfcef4f463 : 1 revs, 0.000044 s, 0.000049 s, +0.000005 s, × 1.1136, 49 µs/rev mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 6 revs, 0.000138 s, 0.000114 s, -0.000024 s, × 0.8261, 19 µs/rev mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.005052 s, 0.004223 s, -0.000829 s, × 0.8359, 4 µs/rev pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 9 revs, 0.000219 s, 0.000305 s, +0.000086 s, × 1.3927, 33 µs/rev pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.000055 s, 0.000060 s, +0.000005 s, × 1.0909, 60 µs/rev pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 7 revs, 0.000128 s, 0.000173 s, +0.000045 s, × 1.3516, 24 µs/rev pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 1 revs, 0.001089 s, 0.000446 s, -0.000643 s, × 0.4096, 446 µs/rev pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 6 revs, 0.017407 s, 0.010360 s, -0.007047 s, × 0.5952, 1726 µs/rev pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 4785 revs, 0.094175 s, 0.048002 s, -0.046173 s, × 0.5097, 10 µs/rev pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 6780 revs, 0.238009 s, 0.075705 s, -0.162304 s, × 0.3181, 11 µs/rev pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 5441 revs, 0.125876 s, 0.056705 s, -0.069171 s, × 0.4505, 10 µs/rev pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 43646 revs, 3.581556 s, 0.794685 s, -2.786871 s, × 0.2219, 18 µs/rev pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 26389 revs, 0.016721 s, 0.020209 s, +0.003488 s, × 1.2086, 0 µs/rev pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 11316 revs, 0.242367 s, 0.122475 s, -0.119892 s, × 0.5053, 10 µs/rev netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.000165 s, 0.000142 s, -0.000023 s, × 0.8606, 71 µs/rev netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 2 revs, 0.000114 s, 0.000113 s, -0.000001 s, × 0.9912, 56 µs/rev netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.000296 s, 0.000241 s, -0.000055 s, × 0.8142, 80 µs/rev netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 9 revs, 0.001124 s, 0.000729 s, -0.000395 s, × 0.6486, 81 µs/rev netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.013060 s, 0.010198 s, -0.002862 s, × 0.7809, 7 µs/rev netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 1533 revs, 0.017112 s, 0.015312 s, -0.001800 s, × 0.8948, 9 µs/rev netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 5750 revs, 0.660350 s, 0.060517 s, -0.599833 s, × 0.0916, 10 µs/rev netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 67005 revs, 10.032499 s, 0.611102 s, -9.421397 s, × 0.0609, 9 µs/rev mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 2 revs, 0.000189 s, 0.000164 s, -0.000025 s, × 0.8677, 82 µs/rev mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 8 revs, 0.000462 s, 0.000334 s, -0.000128 s, × 0.7229, 41 µs/rev mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 9 revs, 0.000270 s, 0.000463 s, +0.000193 s, × 1.7148, 51 µs/rev mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 7 revs, 0.001474 s, 0.000730 s, -0.000744 s, × 0.4953, 104 µs/rev mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.004806 s, 0.003522 s, -0.001284 s, × 0.7328, 1174 µs/rev mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.085150 s, 0.072518 s, -0.012632 s, × 0.8517, 12086 µs/rev mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.007064 s, 0.005760 s, -0.001304 s, × 0.8154, 3 µs/rev mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 8315 revs, 0.004741 s, 0.005720 s, +0.000979 s, × 1.2065, 0 µs/rev mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 7839 revs, 0.190133 s, 0.063310 s, -0.126823 s, × 0.3330, 8 µs/rev mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 45299 revs, 0.035651 s, 0.043608 s, +0.007957 s, × 1.2232, 0 µs/rev mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 30263 revs, 0.440694 s, 0.204831 s, -0.235863 s, × 0.4648, 6 µs/rev mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 153721 revs, 18.454163 s, 2.161906 s, -16.292257 s, × 0.1172, 14 µs/rev mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 210546 revs, 31.562719 s, 3.291831 s, -28.270888 s, × 0.1043, 15 µs/rev mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 2 revs, 0.001189 s, 0.001213 s, +0.000024 s, × 1.0202, 606 µs/rev mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.001204 s, 0.001225 s, +0.000021 s, × 1.0174, 612 µs/rev mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 4 revs, 0.000586 s, 0.000564 s, -0.000022 s, × 0.9625, 141 µs/rev mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 2 revs, 0.001845 s, 0.001549 s, -0.000296 s, × 0.8396, 774 µs/rev mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1 revs, 0.063822 s, 0.035918 s, -0.027904 s, × 0.5628, 35918 µs/rev mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.088038 s, 0.073788 s, -0.014250 s, × 0.8381, 12298 µs/rev mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.007389 s, 0.006151 s, -0.001238 s, × 0.8325, 3 µs/rev mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 8315 revs, 0.004868 s, 0.006165 s, +0.001297 s, × 1.2664, 0 µs/rev mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 6657 revs, 0.222450 s, 0.065421 s, -0.157029 s, × 0.2941, 9 µs/rev mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 40314 revs, 0.370675 s, 0.313749 s, -0.056926 s, × 0.8464, 7 µs/rev mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 38690 revs, 0.358020 s, 0.297867 s, -0.060153 s, × 0.8320, 7 µs/rev mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 54487 revs, 0.145235 s, 0.111300 s, -0.033935 s, × 0.7663, 2 µs/rev mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 45299 revs, 0.037606 s, 0.046202 s, +0.008596 s, × 1.2286, 1 µs/rev mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 7.382439 s, 1.999640 s, -5.382799 s, × 0.2709, 20 µs/rev mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 52031 revs, 7.273506 s, 0.809134 s, -6.464372 s, × 0.1112, 15 µs/rev mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, killed , 47.406785 s, , , 130 µs/rev mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 444327 revs, 1.074593 s, 0.996219 s, -0.078374 s, × 0.9271, 2 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, killed , 47.273399 s, , , 130 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, killed , 47.419099 s, , , 131 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 27.746195 s, 3.512653 s, -24.233542 s, × 0.1266, 18 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 237259 revs, killed , 44.459049 s, , , 187 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 391148 revs, killed , 52.837926 s, , , 135 µs/rev This revision compared to the filelog algorithm: ================================================ Repo Case Source-Rev Dest-Rev # of revisions filelog sidedata Difference Factor time per rev -------------------------------------------------------------------------------------------------------------------------------------------------------------- mercurial x_revs_x_added_0_copies ad6b123de1c7 39cfcef4f463 : 1 revs, 0.000906 s, 0.000049 s, -0.000857 s, × 0.0540, 48 µs/rev mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 6 revs, 0.001844 s, 0.000114 s, -0.001730 s, × 0.0618, 18 µs/rev mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.018577 s, 0.004223 s, -0.014354 s, × 0.2273, 4 µs/rev pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 9 revs, 0.005009 s, 0.000305 s, -0.004704 s, × 0.0608, 33 µs/rev pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.209606 s, 0.000060 s, -0.209546 s, × 0.0002, 59 µs/rev pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 7 revs, 0.017008 s, 0.000173 s, -0.016835 s, × 0.0101, 24 µs/rev pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 1 revs, 0.019227 s, 0.000446 s, -0.018781 s, × 0.0231, 445 µs/rev pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 6 revs, 0.765782 s, 0.010360 s, -0.755422 s, × 0.0135, 1726 µs/rev pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 4785 revs, 1.186068 s, 0.048002 s, -1.138066 s, × 0.0404, 10 µs/rev pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 6780 revs, 1.266745 s, 0.075705 s, -1.191040 s, × 0.0597, 11 µs/rev pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 5441 revs, 1.666389 s, 0.056705 s, -1.609684 s, × 0.0340, 10 µs/rev pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 43646 revs, 0.001070 s, 0.794685 s, +0.793615 s, × 742.69, 18 µs/rev pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 26389 revs, 1.076269 s, 0.020209 s, -1.056060 s, × 0.0187, 0 µs/rev pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 11316 revs, 1.355085 s, 0.122475 s, -1.232610 s, × 0.0903, 10 µs/rev netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.028551 s, 0.000142 s, -0.028409 s, × 0.0049, 70 µs/rev netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 2 revs, 0.157319 s, 0.000113 s, -0.157206 s, × 0.0007, 56 µs/rev netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.025722 s, 0.000241 s, -0.025481 s, × 0.0093, 80 µs/rev netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 9 revs, 0.053374 s, 0.000729 s, -0.052645 s, × 0.0136, 80 µs/rev netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.038146 s, 0.010198 s, -0.027948 s, × 0.2673, 7 µs/rev netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 1533 revs, 0.229215 s, 0.015312 s, -0.213903 s, × 0.0668, 9 µs/rev netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 5750 revs, 0.974484 s, 0.060517 s, -0.913967 s, × 0.0621, 10 µs/rev netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 67005 revs, 3.924308 s, 0.611102 s, -3.313206 s, × 0.1557, 9 µs/rev mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 2 revs, 0.035563 s, 0.000164 s, -0.035399 s, × 0.0046, 81 µs/rev mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 8 revs, 0.145766 s, 0.000334 s, -0.145432 s, × 0.0022, 41 µs/rev mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 9 revs, 0.026283 s, 0.000463 s, -0.025820 s, × 0.0176, 51 µs/rev mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 7 revs, 0.087403 s, 0.000730 s, -0.086673 s, × 0.0083, 104 µs/rev mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.209484 s, 0.003522 s, -0.205962 s, × 0.0168, 1173 µs/rev mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 2.197867 s, 0.072518 s, -2.125349 s, × 0.0329, 12084 µs/rev mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.090142 s, 0.005760 s, -0.084382 s, × 0.0638, 3 µs/rev mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 8315 revs, 0.742658 s, 0.005720 s, -0.736938 s, × 0.0077, 0 µs/rev mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 7839 revs, 1.166159 s, 0.063310 s, -1.102849 s, × 0.0542, 8 µs/rev mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 45299 revs, 6.721719 s, 0.043608 s, -6.678111 s, × 0.0064, 0 µs/rev mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 30263 revs, 3.356523 s, 0.204831 s, -3.151692 s, × 0.0610, 6 µs/rev mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 153721 revs, 15.880822 s, 2.161906 s, -13.718916 s, × 0.1361, 14 µs/rev mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 210546 revs, 20.781275 s, 3.291831 s, -17.489444 s, × 0.1584, 15 µs/rev mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 2 revs, 0.084165 s, 0.001213 s, -0.082952 s, × 0.0144, 606 µs/rev mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.503744 s, 0.001225 s, -0.502519 s, × 0.0024, 612 µs/rev mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 4 revs, 0.021545 s, 0.000564 s, -0.020981 s, × 0.0261, 140 µs/rev mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 2 revs, 0.240699 s, 0.001549 s, -0.239150 s, × 0.0064, 774 µs/rev mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1 revs, 1.100682 s, 0.035918 s, -1.064764 s, × 0.0326, 35882 µs/rev mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 2.234809 s, 0.073788 s, -2.161021 s, × 0.0330, 12295 µs/rev mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.091222 s, 0.006151 s, -0.085071 s, × 0.0674, 3 µs/rev mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 8315 revs, 0.764722 s, 0.006165 s, -0.758557 s, × 0.0080, 0 µs/rev mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 6657 revs, 1.185655 s, 0.065421 s, -1.120234 s, × 0.0551, 9 µs/rev mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 40314 revs, 0.089736 s, 0.313749 s, +0.224013 s, × 3.4963, 7 µs/rev mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 38690 revs, 0.084132 s, 0.297867 s, +0.213735 s, × 3.5404, 7 µs/rev mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 54487 revs, 7.581932 s, 0.111300 s, -7.470632 s, × 0.0146, 2 µs/rev mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 45299 revs, 6.671144 s, 0.046202 s, -6.624942 s, × 0.0069, 1 µs/rev mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 7.674771 s, 1.999640 s, -5.675131 s, × 0.2605, 20 µs/rev mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 52031 revs, 9.870343 s, 0.809134 s, -9.061209 s, × 0.0819, 15 µs/rev mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 0.094781 s, 47.406785 s, +47.312004 s, × 500.17, 130 µs/rev mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 444327 revs, 26.690029 s, 0.996219 s, -25.693810 s, × 0.0373, 2 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 0.094941 s, 47.273399 s, +47.178458 s, × 497.92, 130 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 0.233811 s, 47.419099 s, +47.185288 s, × 202.80, 131 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 19.321750 s, 3.512653 s, -15.809097 s, × 0.1817, 18 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 237259 revs, 21.358350 s, 44.459049 s, +23.100699 s, × 2.0815, 187 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 391148 revs, 25.328737 s, 52.837926 s, +27.509189 s, × 2.0860, 135 µs/rev Differential Revision: https://phab.mercurial-scm.org/D9307
author Pierre-Yves David <pierre-yves.david@octobus.net>
date Thu, 12 Nov 2020 15:54:10 +0100
parents 59ad165f6cdb
children 6000f5b25c9b
line wrap: on
line source

from __future__ import absolute_import

from .i18n import _
from . import (
    pycompat,
    registrar,
    templatekw,
    util,
)


def tolist(val):
    """
    a convenience method to return an empty list instead of None
    """
    if val is None:
        return []
    else:
        return [val]


class namespaces(object):
    """provides an interface to register and operate on multiple namespaces. See
    the namespace class below for details on the namespace object.

    """

    _names_version = 0

    def __init__(self):
        self._names = util.sortdict()
        columns = templatekw.getlogcolumns()

        # we need current mercurial named objects (bookmarks, tags, and
        # branches) to be initialized somewhere, so that place is here
        bmknames = lambda repo: repo._bookmarks.keys()
        bmknamemap = lambda repo, name: tolist(repo._bookmarks.get(name))
        bmknodemap = lambda repo, node: repo.nodebookmarks(node)
        n = namespace(
            b"bookmarks",
            templatename=b"bookmark",
            logfmt=columns[b'bookmark'],
            listnames=bmknames,
            namemap=bmknamemap,
            nodemap=bmknodemap,
            builtin=True,
        )
        self.addnamespace(n)

        tagnames = lambda repo: [t for t, n in repo.tagslist()]
        tagnamemap = lambda repo, name: tolist(repo._tagscache.tags.get(name))
        tagnodemap = lambda repo, node: repo.nodetags(node)
        n = namespace(
            b"tags",
            templatename=b"tag",
            logfmt=columns[b'tag'],
            listnames=tagnames,
            namemap=tagnamemap,
            nodemap=tagnodemap,
            deprecated={b'tip'},
            builtin=True,
        )
        self.addnamespace(n)

        bnames = lambda repo: repo.branchmap().keys()
        bnamemap = lambda repo, name: tolist(repo.branchtip(name, True))
        bnodemap = lambda repo, node: [repo[node].branch()]
        n = namespace(
            b"branches",
            templatename=b"branch",
            logfmt=columns[b'branch'],
            listnames=bnames,
            namemap=bnamemap,
            nodemap=bnodemap,
            builtin=True,
        )
        self.addnamespace(n)

    def __getitem__(self, namespace):
        """returns the namespace object"""
        return self._names[namespace]

    def __iter__(self):
        return self._names.__iter__()

    def get(self, namespace, default=None):
        return self._names.get(namespace, default)

    def items(self):
        return pycompat.iteritems(self._names)

    iteritems = items

    def addnamespace(self, namespace, order=None):
        """register a namespace

        namespace: the name to be registered (in plural form)
        order: optional argument to specify the order of namespaces
               (e.g. 'branches' should be listed before 'bookmarks')

        """
        if order is not None:
            self._names.insert(order, namespace.name, namespace)
        else:
            self._names[namespace.name] = namespace

        # we only generate a template keyword if one does not already exist
        if namespace.name not in templatekw.keywords:
            templatekeyword = registrar.templatekeyword(templatekw.keywords)

            @templatekeyword(namespace.name, requires={b'repo', b'ctx'})
            def generatekw(context, mapping):
                return templatekw.shownames(context, mapping, namespace.name)

    def singlenode(self, repo, name):
        """
        Return the 'best' node for the given name. What's best is defined
        by the namespace's singlenode() function. The first match returned by
        a namespace in the defined precedence order is used.

        Raises a KeyError if there is no such node.
        """
        for ns, v in pycompat.iteritems(self._names):
            n = v.singlenode(repo, name)
            if n:
                return n
        raise KeyError(_(b'no such name: %s') % name)


class namespace(object):
    """provides an interface to a namespace

    Namespaces are basically generic many-to-many mapping between some
    (namespaced) names and nodes. The goal here is to control the pollution of
    jamming things into tags or bookmarks (in extension-land) and to simplify
    internal bits of mercurial: log output, tab completion, etc.

    More precisely, we define a mapping of names to nodes, and a mapping from
    nodes to names. Each mapping returns a list.

    Furthermore, each name mapping will be passed a name to lookup which might
    not be in its domain. In this case, each method should return an empty list
    and not raise an error.

    This namespace object will define the properties we need:
      'name': the namespace (plural form)
      'templatename': name to use for templating (usually the singular form
                      of the plural namespace name)
      'listnames': list of all names in the namespace (usually the keys of a
                   dictionary)
      'namemap': function that takes a name and returns a list of nodes
      'nodemap': function that takes a node and returns a list of names
      'deprecated': set of names to be masked for ordinary use
      'builtin': bool indicating if this namespace is supported by core
                 Mercurial.
    """

    def __init__(
        self,
        name,
        templatename=None,
        logname=None,
        colorname=None,
        logfmt=None,
        listnames=None,
        namemap=None,
        nodemap=None,
        deprecated=None,
        builtin=False,
        singlenode=None,
    ):
        """create a namespace

        name: the namespace to be registered (in plural form)
        templatename: the name to use for templating
        logname: the name to use for log output; if not specified templatename
                 is used
        colorname: the name to use for colored log output; if not specified
                   logname is used
        logfmt: the format to use for (i18n-ed) log output; if not specified
                it is composed from logname
        listnames: function to list all names
        namemap: function that inputs a name, output node(s)
        nodemap: function that inputs a node, output name(s)
        deprecated: set of names to be masked for ordinary use
        builtin: whether namespace is implemented by core Mercurial
        singlenode: function that inputs a name, output best node (or None)
        """
        self.name = name
        self.templatename = templatename
        self.logname = logname
        self.colorname = colorname
        self.logfmt = logfmt
        self.listnames = listnames
        self.namemap = namemap
        self.nodemap = nodemap
        if singlenode:
            self.singlenode = singlenode

        # if logname is not specified, use the template name as backup
        if self.logname is None:
            self.logname = self.templatename

        # if colorname is not specified, just use the logname as a backup
        if self.colorname is None:
            self.colorname = self.logname

        # if logfmt is not specified, compose it from logname as backup
        if self.logfmt is None:
            # i18n: column positioning for "hg log"
            self.logfmt = (b"%s:" % self.logname).ljust(13) + b"%s\n"

        if deprecated is None:
            self.deprecated = set()
        else:
            self.deprecated = deprecated

        self.builtin = builtin

    def names(self, repo, node):
        """method that returns a (sorted) list of names in a namespace that
        match a given node"""
        return sorted(self.nodemap(repo, node))

    def nodes(self, repo, name):
        """method that returns a list of nodes in a namespace that
        match a given name.

        """
        return sorted(self.namemap(repo, name))

    def singlenode(self, repo, name):
        """returns the best node for the given name

        By default, the best node is the node from nodes() with the highest
        revision number. It can be overriden by the namespace."""
        n = self.namemap(repo, name)
        if n:
            # return max revision number
            if len(n) > 1:
                cl = repo.changelog
                maxrev = max(cl.rev(node) for node in n)
                return cl.node(maxrev)
            return n[0]
        return None