view hgext/narrow/narrowbundle2.py @ 46585:60b2b7ecf9cb

copies-rust: use imrs::OrdSet instead of imrs::HashSet This yield small speedup all over the board, and a large one for our slower cases: Repo Case Source-Rev Dest-Rev # of revisions old time new time Difference Factor time per rev --------------------------------------------------------------------------------------------------------------------------------------------------------------- mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 2.034596 s, 1.465264 s, -0.569332 s, × 0.7202, 15 µs/rev mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 52031 revs, 0.694030 s, 0.690376 s, -0.003654 s, × 0.9947, 13 µs/rev mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 4.407723 s, 4.011322 s, -0.396401 s, × 0.9101, 11 µs/rev mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 34414 revs, 0.574355 s, 0.573541 s, -0.000814 s, × 0.9986, 16 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 4.457827 s, 3.981133 s, -0.476694 s, × 0.8931, 10 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 4.351696 s, 3.996647 s, -0.355049 s, × 0.9184, 11 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 228985 revs, 80.828689 s, 50.244975 s, -30.583714 s, × 0.6216, 219 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 34.094064 s, 20.030023 s, -14.064041 s, × 0.5875, 52 µs/rev private : 459513 revs, 27.435529 s, 24.490825 s, -2.944704 s, × 0.8927, 53 µs/rev We also got significantly faster than the implementation using is_ancestors except for one of our reference case: Repo Case Source-Rev Dest-Rev # of revisions old time new time Difference Factor time per rev --------------------------------------------------------------------------------------------------------------------------------------------------------------- mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 5.138169 s, 4.011322 s, -1.126847 s, × 0.7807, 11 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 5.127809 s, 3.981133 s, -1.146676 s, × 0.7764, 10 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 4.971136 s, 3.996647 s, -0.974489 s, × 0.8040, 11 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 1.741678 s, 1.520607 s, -0.221071 s, × 0.8731, 7 µs/rev private : 459513 revs, 37.179470 s, 24.490825 s, -12.688645 s, × 0.6587, 53 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 228985 revs, 40.314822 s, 50.244975 s, +9.930153 s, × 1.2463, 219 µs/rev Below are three different benchmark comparing this changeset to: * the previous one, * the implementation based on `is_anscestors`, * the filelog copy tracing. ### Compared to the previous ones 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, 0.000041 s, -0.000002 s, × 0.9535, 41 µs/rev mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 6 revs, 0.000114 s, 0.000116 s, +0.000002 s, × 1.0175, 19 µs/rev mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.004899 s, 0.004933 s, +0.000034 s, × 1.0069, 4 µs/rev pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 9 revs, 0.000196 s, 0.000193 s, -0.000003 s, × 0.9847, 21 µs/rev pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.000049 s, 0.000048 s, -0.000001 s, × 0.9796, 48 µs/rev pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 7 revs, 0.000117 s, 0.000114 s, -0.000003 s, × 0.9744, 16 µs/rev pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 1 revs, 0.6f1f4a s, 0.000319 s, -0.000003 s, × 0.9907, 319 µs/rev pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 6 revs, 0.011856 s, 0.012025 s, +0.000169 s, × 1.0143, 2004 µs/rev pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 4785 revs, 0.050992 s, 0.050525 s, -0.000467 s, × 0.9908, 10 µs/rev pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 6780 revs, 0.087444 s, 0.085713 s, -0.001731 s, × 0.9802, 12 µs/rev pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 5441 revs, 0.062487 s, 0.061825 s, -0.000662 s, × 0.9894, 11 µs/rev pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 43645 revs, 0.634909 s, 0.543998 s, -0.090911 s, × 0.8568, 12 µs/rev pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 2 revs, 0.013360 s, 0.013455 s, +0.000095 s, × 1.0071, 6727 µs/rev pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 11316 revs, 0.120775 s, 0.117479 s, -0.003296 s, × 0.9727, 10 µs/rev netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.000085 s, 0.000084 s, -0.000001 s, × 0.9882, 42 µs/rev netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 2 revs, 0.000108 s, 0.000111 s, +0.000003 s, × 1.0278, 55 µs/rev netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.000176 s, 0.000175 s, -0.000001 s, × 0.9943, 58 µs/rev netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 9 revs, 0.000747 s, 0.000732 s, -0.000015 s, × 0.9799, 81 µs/rev netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.010128 s, 0.010062 s, -0.000066 s, × 0.9935, 7 µs/rev netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 1533 revs, 0.015899 s, 0.015659 s, -0.000240 s, × 0.9849, 10 µs/rev netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 5750 revs, 0.062215 s, 0.062744 s, +0.000529 s, × 1.0085, 10 µs/rev netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 66949 revs, 0.521004 s, 0.499449 s, -0.021555 s, × 0.9586, 7 µs/rev mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 2 revs, 0.000090 s, 0.000088 s, -0.000002 s, × 0.9778, 44 µs/rev mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 8 revs, 0.000264 s, 0.000266 s, +0.000002 s, × 1.0076, 33 µs/rev mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 9 revs, 0.000186 s, 0.000182 s, -0.000004 s, × 0.9785, 20 µs/rev mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 7 revs, 0.000660 s, 0.000656 s, -0.000004 s, × 0.9939, 93 µs/rev mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.003542 s, 0.003389 s, -0.000153 s, × 0.9568, 1129 µs/rev mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.071574 s, 0.075882 s, +0.004308 s, × 1.0602, 12647 µs/rev mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.006498 s, 0.006479 s, -0.000019 s, × 0.9971, 4 µs/rev mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.005206 s, 0.004889 s, -0.000317 s, × 0.9391, 119 µs/rev mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 7839 revs, 0.065535 s, 0.064394 s, -0.001141 s, × 0.9826, 8 µs/rev mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 0.027139 s, 0.026815 s, -0.000324 s, × 0.9881, 43 µs/rev mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 30263 revs, 0.201924 s, 0.cc85eb s, +0.000940 s, × 1.0047, 6 µs/rev mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 153721 revs, 1.257201 s, 1.219445 s, -0.037756 s, × 0.9700, 7 µs/rev mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 204976 revs, 1.663045 s, 1.613857 s, -0.049188 s, × 0.9704, 7 µs/rev mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 2 revs, 0.000866 s, 0.000873 s, +0.000007 s, × 1.0081, 436 µs/rev mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.000883 s, 0.000885 s, +0.000002 s, × 1.0023, 442 µs/rev mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 4 revs, 0.000163 s, 0.000161 s, -0.000002 s, × 0.9877, 40 µs/rev mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 2 revs, 0.001139 s, 0.001138 s, -0.000001 s, × 0.9991, 569 µs/rev mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1 revs, 0.032753 s, 0.033399 s, +0.000646 s, × 1.0197, 33399 µs/rev mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.073266 s, 0.075445 s, +0.002179 s, × 1.0297, 12574 µs/rev mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.006567 s, 0.006456 s, -0.000111 s, × 0.9831, 4 µs/rev mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.005427 s, 0.005462 s, +0.000035 s, × 1.0064, 133 µs/rev mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 6657 revs, 0.064058 s, 0.064117 s, +0.000059 s, × 1.0009, 9 µs/rev mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 40314 revs, 0.303320 s, 0.297563 s, -0.005757 s, × 0.9810, 7 µs/rev mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 38690 revs, 0.288456 s, 0.282463 s, -0.005993 s, × 0.9792, 7 µs/rev mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 8598 revs, 0.085925 s, 0.084038 s, -0.001887 s, × 0.9780, 9 µs/rev mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 0.027302 s, 0.027306 s, +0.000004 s, × 1.0001, 44 µs/rev mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 2.034596 s, 1.465264 s, -0.569332 s, × 0.7202, 15 µs/rev mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 52031 revs, 0.694030 s, 0.690376 s, -0.003654 s, × 0.9947, 13 µs/rev mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 4.407723 s, 4.011322 s, -0.396401 s, × 0.9101, 11 µs/rev mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 34414 revs, 0.574355 s, 0.573541 s, -0.000814 s, × 0.9986, 16 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 4.457827 s, 3.981133 s, -0.476694 s, × 0.8931, 10 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 4.351696 s, 3.996647 s, -0.355049 s, × 0.9184, 11 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 1.570065 s, 1.520607 s, -0.049458 s, × 0.9685, 7 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 228985 revs, 80.828689 s, 50.244975 s, -30.583714 s, × 0.6216, 219 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 34.094064 s, 20.030023 s, -14.064041 s, × 0.5875, 52 µs/rev private : 459513 revs, 27.435529 s, 24.490825 s, -2.944704 s, × 0.8927, 53 µs/rev ### Compared to the implementation using `is_anscestor` 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, 0.000042 s, 0.000041 s, -0.000001 s, × 0.9762, 41 µs/rev mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 6 revs, 0.000110 s, 0.000116 s, +0.000006 s, × 1.0545, 19 µs/rev mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.004945 s, 0.004933 s, -0.000012 s, × 0.9976, 4 µs/rev pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 9 revs, 0.000192 s, 0.000193 s, +0.000001 s, × 1.0052, 21 µs/rev pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.000049 s, 0.000048 s, -0.000001 s, × 0.9796, 48 µs/rev pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 7 revs, 0.000112 s, 0.000114 s, +0.000002 s, × 1.0179, 16 µs/rev pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 1 revs, 0.000323 s, 0.000319 s, -0.000004 s, × 0.9876, 319 µs/rev pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 6 revs, 0.010042 s, 0.012025 s, +0.001983 s, × 1.1975, 2004 µs/rev pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 4785 revs, 0.049813 s, 0.050525 s, +0.000712 s, × 1.0143, 10 µs/rev pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 6780 revs, 0.079937 s, 0.085713 s, +0.005776 s, × 1.0723, 12 µs/rev pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 5441 revs, 0.059412 s, 0.061825 s, +0.002413 s, × 1.0406, 11 µs/rev pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 43645 revs, 0.533769 s, 0.543998 s, +0.010229 s, × 1.0192, 12 µs/rev pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 2 revs, 0.013147 s, 0.013455 s, +0.000308 s, × 1.0234, 6727 µs/rev pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 11316 revs, 0.110680 s, 0.117479 s, +0.006799 s, × 1.0614, 10 µs/rev netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.000085 s, 0.000084 s, -0.000001 s, × 0.9882, 42 µs/rev netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 2 revs, 0.000107 s, 0.000111 s, +0.000004 s, × 1.0374, 55 µs/rev netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.000175 s, 0.000175 s, +0.000000 s, × 1.0000, 58 µs/rev netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 9 revs, 0.000720 s, 0.000732 s, +0.000012 s, × 1.0167, 81 µs/rev netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.010019 s, 0.010062 s, +0.000043 s, × 1.0043, 7 µs/rev netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 1533 revs, 0.015602 s, 0.015659 s, +0.000057 s, × 1.0037, 10 µs/rev netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 5750 revs, 0.058759 s, 0.062744 s, +0.003985 s, × 1.0678, 10 µs/rev netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 66949 revs, 0.491550 s, 0.499449 s, +0.007899 s, × 1.0161, 7 µs/rev mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 2 revs, 0.000087 s, 0.000088 s, +0.000001 s, × 1.0115, 44 µs/rev mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 8 revs, 0.000268 s, 0.000266 s, -0.000002 s, × 0.9925, 33 µs/rev mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 9 revs, 0.000181 s, 0.000182 s, +0.000001 s, × 1.0055, 20 µs/rev mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 7 revs, 0.000661 s, 0.000656 s, -0.000005 s, × 0.9924, 93 µs/rev mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.003256 s, 0.003389 s, +0.000133 s, × 1.0408, 1129 µs/rev mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.066749 s, 0.075882 s, +0.009133 s, × 1.1368, 12647 µs/rev mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.006462 s, 0.006479 s, +0.000017 s, × 1.0026, 4 µs/rev mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.004919 s, 0.004889 s, -0.000030 s, × 0.9939, 119 µs/rev mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 7839 revs, 0.062421 s, 0.064394 s, +0.001973 s, × 1.0316, 8 µs/rev mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 0.026633 s, 0.026815 s, +0.000182 s, × 1.0068, 43 µs/rev mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 30263 revs, 0.197792 s, 0.cc85eb s, +0.005072 s, × 1.0256, 6 µs/rev mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 153721 revs, 1.259970 s, 1.219445 s, -0.040525 s, × 0.9678, 7 µs/rev mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 204976 revs, 1.689184 s, 1.613857 s, -0.075327 s, × 0.9554, 7 µs/rev mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 2 revs, 0.000865 s, 0.000873 s, +0.000008 s, × 1.0092, 436 µs/rev mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.000893 s, 0.000885 s, -0.000008 s, × 0.9910, 442 µs/rev mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 4 revs, 0.000172 s, 0.000161 s, -0.000011 s, × 0.9360, 40 µs/rev mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 2 revs, 0.001159 s, 0.001138 s, -0.000021 s, × 0.9819, 569 µs/rev mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1 revs, 0.031621 s, 0.033399 s, +0.001778 s, × 1.0562, 33399 µs/rev mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.068571 s, 0.075445 s, +0.006874 s, × 1.1002, 12574 µs/rev mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.006452 s, 0.006456 s, +0.000004 s, × 1.0006, 4 µs/rev mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.005443 s, 0.005462 s, +0.000019 s, × 1.0035, 133 µs/rev mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 6657 revs, 0.063180 s, 0.064117 s, +0.000937 s, × 1.0148, 9 µs/rev mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 40314 revs, 0.293564 s, 0.297563 s, +0.003999 s, × 1.0136, 7 µs/rev mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 38690 revs, 0.286595 s, 0.282463 s, -0.004132 s, × 0.9856, 7 µs/rev mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 8598 revs, 0.083256 s, 0.084038 s, +0.000782 s, × 1.0094, 9 µs/rev mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 0.027282 s, 0.027306 s, +0.000024 s, × 1.0009, 44 µs/rev mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 1.343373 s, 1.465264 s, +0.121891 s, × 1.0907, 15 µs/rev mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 52031 revs, 0.665737 s, 0.690376 s, +0.024639 s, × 1.0370, 13 µs/rev mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 5.138169 s, 4.011322 s, -1.126847 s, × 0.7807, 11 µs/rev mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 34414 revs, 0.573276 s, 0.573541 s, +0.000265 s, × 1.0005, 16 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 5.127809 s, 3.981133 s, -1.146676 s, × 0.7764, 10 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 4.971136 s, 3.996647 s, -0.974489 s, × 0.8040, 11 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 1.741678 s, 1.520607 s, -0.221071 s, × 0.8731, 7 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 228985 revs, 40.314822 s, 50.244975 s, +9.930153 s, × 1.2463, 219 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 20.048029 s, 20.030023 s, -0.018006 s, × 0.9991, 52 µs/rev private : 459513 revs, 37.179470 s, 24.490825 s, -12.688645 s, × 0.6587, 53 µs/rev ### Compared to the filelog based copy tracing 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, 0.000918 s, 0.000041 s, -0.000877 s, × 0.044662, 40 µs/rev mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 6 revs, 0.001853 s, 0.000116 s, -0.001737 s, × 0.062601, 19 µs/rev mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.018994 s, 0.004933 s, -0.014061 s, × 0.259714, 4 µs/rev pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 9 revs, 0.001532 s, 0.000193 s, -0.001339 s, × 0.125979, 21 µs/rev pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.210633 s, 0.000048 s, -0.210585 s, × 0.000228, 47 µs/rev pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 7 revs, 0.017041 s, 0.000114 s, -0.016927 s, × 0.006690, 16 µs/rev pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 1 revs, 0.019474 s, 0.000319 s, -0.019155 s, × 0.016381, 318 µs/rev pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 6 revs, 0.763136 s, 0.012025 s, -0.751111 s, × 0.015757, 2003 µs/rev pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 4785 revs, 1.226569 s, 0.050525 s, -1.176044 s, × 0.041192, 10 µs/rev pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 6780 revs, 1.314572 s, 0.085713 s, -1.228859 s, × 0.065202, 12 µs/rev pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 5441 revs, 1.686022 s, 0.061825 s, -1.624197 s, × 0.036669, 11 µs/rev pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 43645 revs, 0.001110 s, 0.543998 s, +0.542888 s, × 490.0882, 12 µs/rev pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 2 revs, 1.106265 s, 0.013455 s, -1.092810 s, × 0.012163, 6724 µs/rev pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 11316 revs, 1.377398 s, 0.117479 s, -1.259919 s, × 0.085291, 10 µs/rev netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.028579 s, 0.000084 s, -0.028495 s, × 0.002939, 41 µs/rev netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 2 revs, 0.133644 s, 0.000111 s, -0.133533 s, × 0.000831, 55 µs/rev netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.025988 s, 0.000175 s, -0.025813 s, × 0.006734, 58 µs/rev netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 9 revs, 0.053011 s, 0.000732 s, -0.052279 s, × 0.013808, 81 µs/rev netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.037858 s, 0.010062 s, -0.027796 s, × 0.265783, 7 µs/rev netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 1533 revs, 0.200517 s, 0.015659 s, -0.184858 s, × 0.078093, 10 µs/rev netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 5750 revs, 0.964542 s, 0.062744 s, -0.901798 s, × 0.065051, 10 µs/rev netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 66949 revs, 3.976210 s, 0.499449 s, -3.476761 s, × 0.125609, 7 µs/rev mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 2 revs, 0.025172 s, 0.000088 s, -0.025084 s, × 0.003496, 43 µs/rev mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 8 revs, 0.145144 s, 0.000266 s, -0.144878 s, × 0.001833, 33 µs/rev mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 9 revs, 0.026139 s, 0.000182 s, -0.025957 s, × 0.006963, 20 µs/rev mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 7 revs, 0.086184 s, 0.000656 s, -0.085528 s, × 0.007612, 93 µs/rev mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.203187 s, 0.003389 s, -0.199798 s, × 0.016679, 1129 µs/rev mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 2.255675 s, 0.075882 s, -2.179793 s, × 0.033640, 12644 µs/rev mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.091147 s, 0.006479 s, -0.084668 s, × 0.071083, 4 µs/rev mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.767530 s, 0.004889 s, -0.762641 s, × 0.006370, 119 µs/rev mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 7839 revs, 1.185330 s, 0.064394 s, -1.120936 s, × 0.054326, 8 µs/rev mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 6.831179 s, 0.026815 s, -6.804364 s, × 0.003925, 43 µs/rev mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 30263 revs, 3.373551 s, 0.cc85eb s, -3.170687 s, × 0.060134, 6 µs/rev mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 153721 revs, 16.540604 s, 1.219445 s, -15.321159 s, × 0.073724, 7 µs/rev mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 204976 revs, 21.527155 s, 1.613857 s, -19.913298 s, × 0.074968, 7 µs/rev mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 2 revs, 0.084540 s, 0.000873 s, -0.083667 s, × 0.010326, 436 µs/rev mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.507151 s, 0.000885 s, -0.506266 s, × 0.001745, 442 µs/rev mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 4 revs, 0.021748 s, 0.000161 s, -0.021587 s, × 0.007403, 40 µs/rev mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 2 revs, 0.236786 s, 0.001138 s, -0.235648 s, × 0.004806, 568 µs/rev mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1 revs, 1.111735 s, 0.033399 s, -1.078336 s, × 0.030042, 33365 µs/rev mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 2.228030 s, 0.075445 s, -2.152585 s, × 0.033862, 12572 µs/rev mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.091289 s, 0.006456 s, -0.084833 s, × 0.070720, 4 µs/rev mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.771361 s, 0.005462 s, -0.765899 s, × 0.007081, 133 µs/rev mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 6657 revs, 1.189483 s, 0.064117 s, -1.125366 s, × 0.053903, 9 µs/rev mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 40314 revs, 0.089756 s, 0.297563 s, +0.207807 s, × 3.315244, 7 µs/rev mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 38690 revs, 0.084888 s, 0.282463 s, +0.197575 s, × 3.327479, 7 µs/rev mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 8598 revs, 7.682665 s, 0.084038 s, -7.598627 s, × 0.010939, 9 µs/rev mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 6.894680 s, 0.027306 s, -6.867374 s, × 0.003960, 44 µs/rev mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 7.650907 s, 1.465264 s, -6.185643 s, × 0.191515, 15 µs/rev mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 52031 revs, 9.898788 s, 0.690376 s, -9.208412 s, × 0.069743, 13 µs/rev mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 0.092208 s, 4.011322 s, +3.919114 s, × 43.50297, 11 µs/rev mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 34414 revs, 28.130003 s, 0.573541 s, -27.556462 s, × 0.020389, 16 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 0.093366 s, 3.981133 s, +3.887767 s, × 42.64007, 10 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 0.229368 s, 3.996647 s, +3.767279 s, × 17.42460, 11 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 19.624851 s, 1.520607 s, -18.104244 s, × 0.077484, 7 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 228985 revs, 22.070126 s, 50.244975 s, +28.174849 s, × 2.276606, 219 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 26.006524 s, 20.030023 s, -5.976501 s, × 0.770192, 52 µs/rev private : 459513 revs, 18.704612 s, 24.490825 s, +5.786213 s, × 1.309347, 53 µs/rev Differential Revision: https://phab.mercurial-scm.org/D9656
author Pierre-Yves David <pierre-yves.david@octobus.net>
date Mon, 21 Dec 2020 12:34:59 +0100
parents 89a2afe31e82
children d55b71393907
line wrap: on
line source

# narrowbundle2.py - bundle2 extensions for narrow repository support
#
# Copyright 2017 Google, Inc.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.

from __future__ import absolute_import

import errno
import struct

from mercurial.i18n import _
from mercurial.node import nullid
from mercurial import (
    bundle2,
    changegroup,
    error,
    exchange,
    localrepo,
    narrowspec,
    repair,
    requirements,
    scmutil,
    util,
    wireprototypes,
)
from mercurial.utils import stringutil

_NARROWACL_SECTION = b'narrowacl'
_CHANGESPECPART = b'narrow:changespec'
_RESSPECS = b'narrow:responsespec'
_SPECPART = b'narrow:spec'
_SPECPART_INCLUDE = b'include'
_SPECPART_EXCLUDE = b'exclude'
_KILLNODESIGNAL = b'KILL'
_DONESIGNAL = b'DONE'
_ELIDEDCSHEADER = b'>20s20s20sl'  # cset id, p1, p2, len(text)
_ELIDEDMFHEADER = b'>20s20s20s20sl'  # manifest id, p1, p2, link id, len(text)
_CSHEADERSIZE = struct.calcsize(_ELIDEDCSHEADER)
_MFHEADERSIZE = struct.calcsize(_ELIDEDMFHEADER)

# Serve a changegroup for a client with a narrow clone.
def getbundlechangegrouppart_narrow(
    bundler,
    repo,
    source,
    bundlecaps=None,
    b2caps=None,
    heads=None,
    common=None,
    **kwargs
):
    assert repo.ui.configbool(b'experimental', b'narrowservebrokenellipses')

    cgversions = b2caps.get(b'changegroup')
    cgversions = [
        v
        for v in cgversions
        if v in changegroup.supportedoutgoingversions(repo)
    ]
    if not cgversions:
        raise ValueError(_(b'no common changegroup version'))
    version = max(cgversions)

    include = sorted(filter(bool, kwargs.get('includepats', [])))
    exclude = sorted(filter(bool, kwargs.get('excludepats', [])))
    generateellipsesbundle2(
        bundler,
        repo,
        include,
        exclude,
        version,
        common,
        heads,
        kwargs.get('depth', None),
    )


def generateellipsesbundle2(
    bundler,
    repo,
    include,
    exclude,
    version,
    common,
    heads,
    depth,
):
    match = narrowspec.match(repo.root, include=include, exclude=exclude)
    if depth is not None:
        depth = int(depth)
        if depth < 1:
            raise error.Abort(_(b'depth must be positive, got %d') % depth)

    heads = set(heads or repo.heads())
    common = set(common or [nullid])

    visitnodes, relevant_nodes, ellipsisroots = exchange._computeellipsis(
        repo, common, heads, set(), match, depth=depth
    )

    repo.ui.debug(b'Found %d relevant revs\n' % len(relevant_nodes))
    if visitnodes:
        packer = changegroup.getbundler(
            version,
            repo,
            matcher=match,
            ellipses=True,
            shallow=depth is not None,
            ellipsisroots=ellipsisroots,
            fullnodes=relevant_nodes,
        )
        cgdata = packer.generate(common, visitnodes, False, b'narrow_widen')

        part = bundler.newpart(b'changegroup', data=cgdata)
        part.addparam(b'version', version)
        if scmutil.istreemanifest(repo):
            part.addparam(b'treemanifest', b'1')


def generate_ellipses_bundle2_for_widening(
    bundler,
    repo,
    oldmatch,
    newmatch,
    version,
    common,
    known,
):
    common = set(common or [nullid])
    # Steps:
    # 1. Send kill for "$known & ::common"
    #
    # 2. Send changegroup for ::common
    #
    # 3. Proceed.
    #
    # In the future, we can send kills for only the specific
    # nodes we know should go away or change shape, and then
    # send a data stream that tells the client something like this:
    #
    # a) apply this changegroup
    # b) apply nodes XXX, YYY, ZZZ that you already have
    # c) goto a
    #
    # until they've built up the full new state.
    knownrevs = {repo.changelog.rev(n) for n in known}
    # TODO: we could send only roots() of this set, and the
    # list of nodes in common, and the client could work out
    # what to strip, instead of us explicitly sending every
    # single node.
    deadrevs = knownrevs

    def genkills():
        for r in deadrevs:
            yield _KILLNODESIGNAL
            yield repo.changelog.node(r)
        yield _DONESIGNAL

    bundler.newpart(_CHANGESPECPART, data=genkills())
    newvisit, newfull, newellipsis = exchange._computeellipsis(
        repo, set(), common, knownrevs, newmatch
    )
    if newvisit:
        packer = changegroup.getbundler(
            version,
            repo,
            matcher=newmatch,
            ellipses=True,
            shallow=False,
            ellipsisroots=newellipsis,
            fullnodes=newfull,
        )
        cgdata = packer.generate(common, newvisit, False, b'narrow_widen')

        part = bundler.newpart(b'changegroup', data=cgdata)
        part.addparam(b'version', version)
        if scmutil.istreemanifest(repo):
            part.addparam(b'treemanifest', b'1')


@bundle2.parthandler(_SPECPART, (_SPECPART_INCLUDE, _SPECPART_EXCLUDE))
def _handlechangespec_2(op, inpart):
    # XXX: This bundle2 handling is buggy and should be removed after hg5.2 is
    # released. New servers will send a mandatory bundle2 part named
    # 'Narrowspec' and will send specs as data instead of params.
    # Refer to issue5952 and 6019
    includepats = set(inpart.params.get(_SPECPART_INCLUDE, b'').splitlines())
    excludepats = set(inpart.params.get(_SPECPART_EXCLUDE, b'').splitlines())
    narrowspec.validatepatterns(includepats)
    narrowspec.validatepatterns(excludepats)

    if not requirements.NARROW_REQUIREMENT in op.repo.requirements:
        op.repo.requirements.add(requirements.NARROW_REQUIREMENT)
        scmutil.writereporequirements(op.repo)
    op.repo.setnarrowpats(includepats, excludepats)
    narrowspec.copytoworkingcopy(op.repo)


@bundle2.parthandler(_RESSPECS)
def _handlenarrowspecs(op, inpart):
    data = inpart.read()
    inc, exc = data.split(b'\0')
    includepats = set(inc.splitlines())
    excludepats = set(exc.splitlines())
    narrowspec.validatepatterns(includepats)
    narrowspec.validatepatterns(excludepats)

    if requirements.NARROW_REQUIREMENT not in op.repo.requirements:
        op.repo.requirements.add(requirements.NARROW_REQUIREMENT)
        scmutil.writereporequirements(op.repo)
    op.repo.setnarrowpats(includepats, excludepats)
    narrowspec.copytoworkingcopy(op.repo)


@bundle2.parthandler(_CHANGESPECPART)
def _handlechangespec(op, inpart):
    repo = op.repo
    cl = repo.changelog

    # changesets which need to be stripped entirely. either they're no longer
    # needed in the new narrow spec, or the server is sending a replacement
    # in the changegroup part.
    clkills = set()

    # A changespec part contains all the updates to ellipsis nodes
    # that will happen as a result of widening or narrowing a
    # repo. All the changes that this block encounters are ellipsis
    # nodes or flags to kill an existing ellipsis.
    chunksignal = changegroup.readexactly(inpart, 4)
    while chunksignal != _DONESIGNAL:
        if chunksignal == _KILLNODESIGNAL:
            # a node used to be an ellipsis but isn't anymore
            ck = changegroup.readexactly(inpart, 20)
            if cl.hasnode(ck):
                clkills.add(ck)
        else:
            raise error.Abort(
                _(b'unexpected changespec node chunk type: %s') % chunksignal
            )
        chunksignal = changegroup.readexactly(inpart, 4)

    if clkills:
        # preserve bookmarks that repair.strip() would otherwise strip
        op._bookmarksbackup = repo._bookmarks

        class dummybmstore(dict):
            def applychanges(self, repo, tr, changes):
                pass

        localrepo.localrepository._bookmarks.set(repo, dummybmstore())
        chgrpfile = repair.strip(
            op.ui, repo, list(clkills), backup=True, topic=b'widen'
        )
        if chgrpfile:
            op._widen_uninterr = repo.ui.uninterruptible()
            op._widen_uninterr.__enter__()
            # presence of _widen_bundle attribute activates widen handler later
            op._widen_bundle = chgrpfile
    # Set the new narrowspec if we're widening. The setnewnarrowpats() method
    # will currently always be there when using the core+narrowhg server, but
    # other servers may include a changespec part even when not widening (e.g.
    # because we're deepening a shallow repo).
    if util.safehasattr(repo, 'setnewnarrowpats'):
        repo.setnewnarrowpats()


def handlechangegroup_widen(op, inpart):
    """Changegroup exchange handler which restores temporarily-stripped nodes"""
    # We saved a bundle with stripped node data we must now restore.
    # This approach is based on mercurial/repair.py@6ee26a53c111.
    repo = op.repo
    ui = op.ui

    chgrpfile = op._widen_bundle
    del op._widen_bundle
    vfs = repo.vfs

    ui.note(_(b"adding branch\n"))
    f = vfs.open(chgrpfile, b"rb")
    try:
        gen = exchange.readbundle(ui, f, chgrpfile, vfs)
        # silence internal shuffling chatter
        override = {(b'ui', b'quiet'): True}
        if ui.verbose:
            override = {}
        with ui.configoverride(override):
            if isinstance(gen, bundle2.unbundle20):
                with repo.transaction(b'strip') as tr:
                    bundle2.processbundle(repo, gen, lambda: tr)
            else:
                gen.apply(
                    repo, b'strip', b'bundle:' + vfs.join(chgrpfile), True
                )
    finally:
        f.close()

    # remove undo files
    for undovfs, undofile in repo.undofiles():
        try:
            undovfs.unlink(undofile)
        except OSError as e:
            if e.errno != errno.ENOENT:
                ui.warn(
                    _(b'error removing %s: %s\n')
                    % (undovfs.join(undofile), stringutil.forcebytestr(e))
                )

    # Remove partial backup only if there were no exceptions
    op._widen_uninterr.__exit__(None, None, None)
    vfs.unlink(chgrpfile)


def setup():
    """Enable narrow repo support in bundle2-related extension points."""
    getbundleargs = wireprototypes.GETBUNDLE_ARGUMENTS

    getbundleargs[b'narrow'] = b'boolean'
    getbundleargs[b'depth'] = b'plain'
    getbundleargs[b'oldincludepats'] = b'csv'
    getbundleargs[b'oldexcludepats'] = b'csv'
    getbundleargs[b'known'] = b'csv'

    # Extend changegroup serving to handle requests from narrow clients.
    origcgfn = exchange.getbundle2partsmapping[b'changegroup']

    def wrappedcgfn(*args, **kwargs):
        repo = args[1]
        if repo.ui.has_section(_NARROWACL_SECTION):
            kwargs = exchange.applynarrowacl(repo, kwargs)

        if kwargs.get('narrow', False) and repo.ui.configbool(
            b'experimental', b'narrowservebrokenellipses'
        ):
            getbundlechangegrouppart_narrow(*args, **kwargs)
        else:
            origcgfn(*args, **kwargs)

    exchange.getbundle2partsmapping[b'changegroup'] = wrappedcgfn

    # Extend changegroup receiver so client can fixup after widen requests.
    origcghandler = bundle2.parthandlermapping[b'changegroup']

    def wrappedcghandler(op, inpart):
        origcghandler(op, inpart)
        if util.safehasattr(op, '_widen_bundle'):
            handlechangegroup_widen(op, inpart)
        if util.safehasattr(op, '_bookmarksbackup'):
            localrepo.localrepository._bookmarks.set(
                op.repo, op._bookmarksbackup
            )
            del op._bookmarksbackup

    wrappedcghandler.params = origcghandler.params
    bundle2.parthandlermapping[b'changegroup'] = wrappedcghandler