1. 0.00 s $ /nix/store/bhv6xyvqw6gjs3j488gi1z6wdv18bdpa-coreutils-9.11/bin/timeout --kill-after=15s 7200s /nix/store/6f7ai6jmdrlg1r5viixgpysdxa5yg9y9-nix-ci-eval-0.0.0/bin/nix-ci-eval --flake git+https://github.com/alphal00p/gammaloop?ref=ltd_support&rev=e96fc0fde5f9dfaba5f0d2372e18017192c65aeb --system x86_64-linux
  2. 0.80 s remote: Enumerating objects: 2499, done.
  3. 0.95 s remote: Counting objects: 0% (1/2499) remote: Counting objects: 1% (25/2499) remote: Counting objects: 2% (50/2499) remote: Counting objects: 3% (75/2499) remote: Counting objects: 4% (100/2499) remote: Counting objects: 5% (125/2499) remote: Counting objects: 6% (150/2499) remote: Counting objects: 7% (175/2499) remote: Counting objects: 8% (200/2499) remote: Counting objects: 9% (225/2499) remote: Counting objects: 10% (250/2499) remote: Counting objects: 11% (275/2499) remote: Counting objects: 12% (300/2499) remote: Counting objects: 13% (325/2499) remote: Counting objects: 14% (350/2499) remote: Counting objects: 15% (375/2499) remote: Counting objects: 16% (400/2499) remote: Counting objects: 17% (425/2499) remote: Counting objects: 18% (450/2499) remote: Counting objects: 19% (475/2499) remote: Counting objects: 20% (500/2499) remote: Counting objects: 21% (525/2499) remote: Counting objects: 22% (550/2499) remote: Counting objects: 23% (575/2499) remote: Counting objects: 24% (600/2499) remote: Counting objects: 25% (625/2499) remote: Counting objects: 26% (650/2499) remote: Counting objects: 27% (675/2499) remote: Counting objects: 28% (700/2499) remote: Counting objects: 29% (725/2499) remote: Counting objects: 30% (750/2499) remote: Counting objects: 31% (775/2499) remote: Counting objects: 32% (800/2499) remote: Counting objects: 33% (825/2499) remote: Counting objects: 34% (850/2499) remote: Counting objects: 35% (875/2499) remote: Counting objects: 36% (900/2499) remote: Counting objects: 37% (925/2499) remote: Counting objects: 38% (950/2499) remote: Counting objects: 39% (975/2499) remote: Counting objects: 40% (1000/2499) remote: Counting objects: 41% (1025/2499) remote: Counting objects: 42% (1050/2499) remote: Counting objects: 43% (1075/2499) remote: Counting objects: 44% (1100/2499) remote: Counting objects: 45% (1125/2499) remote: Counting objects: 46% (1150/2499) remote: Counting objects: 47% (1175/2499) remote: Counting objects: 48% (1200/2499) remote: Counting objects: 49% (1225/2499) remote: Counting objects: 50% (1250/2499) remote: Counting objects: 51% (1275/2499) remote: Counting objects: 52% (1300/2499) remote: Counting objects: 53% (1325/2499) remote: Counting objects: 54% (1350/2499) remote: Counting objects: 55% (1375/2499) remote: Counting objects: 56% (1400/2499) remote: Counting objects: 57% (1425/2499) remote: Counting objects: 58% (1450/2499) remote: Counting objects: 59% (1475/2499) remote: Counting objects: 60% (1500/2499) remote: Counting objects: 61% (1525/2499) remote: Counting objects: 62% (1550/2499) remote: Counting objects: 63% (1575/2499) remote: Counting objects: 64% (1600/2499) remote: Counting objects: 65% (1625/2499) remote: Counting objects: 66% (1650/2499) remote: Counting objects: 67% (1675/2499) remote: Counting objects: 68% (1700/2499) remote: Counting objects: 69% (1725/2499) remote: Counting objects: 70% (1750/2499) remote: Counting objects: 71% (1775/2499) remote: Counting objects: 72% (1800/2499) remote: Counting objects: 73% (1825/2499) remote: Counting objects: 74% (1850/2499) remote: Counting objects: 75% (1875/2499) remote: Counting objects: 76% (1900/2499) remote: Counting objects: 77% (1925/2499) remote: Counting objects: 78% (1950/2499) remote: Counting objects: 79% (1975/2499) remote: Counting objects: 80% (2000/2499) remote: Counting objects: 81% (2025/2499) remote: Counting objects: 82% (2050/2499) remote: Counting objects: 83% (2075/2499) remote: Counting objects: 84% (2100/2499) remote: Counting objects: 85% (2125/2499) remote: Counting objects: 86% (2150/2499) remote: Counting objects: 87% (2175/2499) remote: Counting objects: 88% (2200/2499) remote: Counting objects: 89% (2225/2499) remote: Counting objects: 90% (2250/2499) remote: Counting objects: 91% (2275/2499) remote: Counting objects: 92% (2300/2499) remote: Counting objects: 93% (2325/2499) remote: Counting objects: 94% (2350/2499) remote: Counting objects: 95% (2375/2499) remote: Counting objects: 96% (2400/2499) remote: Counting objects: 97% (2425/2499) remote: Counting objects: 98% (2450/2499) remote: Counting objects: 99% (2475/2499) remote: Counting objects: 100% (2499/2499) remote: Counting objects: 100% (2499/2499), done.
  4. 2.13 s remote: Compressing objects: 0% (1/1760) remote: Compressing objects: 1% (18/1760) remote: Compressing objects: 2% (36/1760) remote: Compressing objects: 3% (53/1760) remote: Compressing objects: 4% (71/1760) remote: Compressing objects: 5% (88/1760) remote: Compressing objects: 6% (106/1760) remote: Compressing objects: 7% (124/1760) remote: Compressing objects: 8% (141/1760) remote: Compressing objects: 9% (159/1760) remote: Compressing objects: 10% (176/1760) remote: Compressing objects: 11% (194/1760) remote: Compressing objects: 12% (212/1760) remote: Compressing objects: 13% (229/1760) remote: Compressing objects: 14% (247/1760) remote: Compressing objects: 15% (264/1760) remote: Compressing objects: 16% (282/1760) remote: Compressing objects: 17% (300/1760) remote: Compressing objects: 18% (317/1760) remote: Compressing objects: 19% (335/1760) remote: Compressing objects: 20% (352/1760) remote: Compressing objects: 21% (370/1760) remote: Compressing objects: 22% (388/1760) remote: Compressing objects: 23% (405/1760) remote: Compressing objects: 24% (423/1760) remote: Compressing objects: 25% (440/1760) remote: Compressing objects: 26% (458/1760) remote: Compressing objects: 27% (476/1760) remote: Compressing objects: 28% (493/1760) remote: Compressing objects: 29% (511/1760) remote: Compressing objects: 30% (528/1760) remote: Compressing objects: 31% (546/1760) remote: Compressing objects: 32% (564/1760) remote: Compressing objects: 33% (581/1760) remote: Compressing objects: 34% (599/1760) remote: Compressing objects: 35% (616/1760) remote: Compressing objects: 36% (634/1760) remote: Compressing objects: 37% (652/1760) remote: Compressing objects: 38% (669/1760) remote: Compressing objects: 39% (687/1760) remote: Compressing objects: 40% (704/1760) remote: Compressing objects: 41% (722/1760) remote: Compressing objects: 42% (740/1760) remote: Compressing objects: 43% (757/1760) remote: Compressing objects: 44% (775/1760) remote: Compressing objects: 45% (792/1760) remote: Compressing objects: 46% (810/1760) remote: Compressing objects: 47% (828/1760) remote: Compressing objects: 48% (845/1760) remote: Compressing objects: 49% (863/1760) remote: Compressing objects: 50% (880/1760) remote: Compressing objects: 51% (898/1760) remote: Compressing objects: 52% (916/1760) remote: Compressing objects: 53% (933/1760) remote: Compressing objects: 54% (951/1760) remote: Compressing objects: 55% (968/1760) remote: Compressing objects: 56% (986/1760) remote: Compressing objects: 57% (1004/1760) remote: Compressing objects: 58% (1021/1760) remote: Compressing objects: 59% (1039/1760) remote: Compressing objects: 60% (1056/1760) remote: Compressing objects: 61% (1074/1760) remote: Compressing objects: 62% (1092/1760) remote: Compressing objects: 63% (1109/1760) remote: Compressing objects: 63% (1112/1760) remote: Compressing objects: 64% (1127/1760) remote: Compressing objects: 65% (1144/1760) remote: Compressing objects: 66% (1162/1760) remote: Compressing objects: 67% (1180/1760) remote: Compressing objects: 68% (1197/1760) remote: Compressing objects: 69% (1215/1760) remote: Compressing objects: 70% (1232/1760) remote: Compressing objects: 71% (1250/1760) remote: Compressing objects: 72% (1268/1760) remote: Compressing objects: 73% (1285/1760) remote: Compressing objects: 74% (1303/1760) remote: Compressing objects: 75% (1320/1760) remote: Compressing objects: 76% (1338/1760) remote: Compressing objects: 77% (1356/1760) remote: Compressing objects: 78% (1373/1760) remote: Compressing objects: 79% (1391/1760) remote: Compressing objects: 80% (1408/1760) remote: Compressing objects: 81% (1426/1760) remote: Compressing objects: 82% (1444/1760) remote: Compressing objects: 83% (1461/1760) remote: Compressing objects: 84% (1479/1760) remote: Compressing objects: 85% (1496/1760) remote: Compressing objects: 86% (1514/1760) remote: Compressing objects: 87% (1532/1760) remote: Compressing objects: 88% (1549/1760) remote: Compressing objects: 89% (1567/1760) remote: Compressing objects: 90% (1584/1760) remote: Compressing objects: 91% (1602/1760) remote: Compressing objects: 92% (1620/1760) remote: Compressing objects: 93% (1637/1760) remote: Compressing objects: 94% (1655/1760) remote: Compressing objects: 95% (1672/1760) remote: Compressing objects: 96% (1690/1760) remote: Compressing objects: 97% (1708/1760) remote: Compressing objects: 98% (1725/1760) remote: Compressing objects: 99% (1743/1760) remote: Compressing objects: 100% (1760/1760) remote: Compressing objects: 100% (1760/1760), done.
  5. 3.17 s Receiving objects: 0% (1/2499) Receiving objects: 1% (25/2499) Receiving objects: 2% (50/2499) Receiving objects: 3% (75/2499) Receiving objects: 4% (100/2499) Receiving objects: 5% (125/2499) Receiving objects: 6% (150/2499) Receiving objects: 7% (175/2499) Receiving objects: 8% (200/2499) Receiving objects: 9% (225/2499) Receiving objects: 10% (250/2499) Receiving objects: 11% (275/2499) Receiving objects: 12% (300/2499) Receiving objects: 13% (325/2499) Receiving objects: 14% (350/2499) Receiving objects: 15% (375/2499) Receiving objects: 16% (400/2499) Receiving objects: 17% (425/2499) Receiving objects: 18% (450/2499) Receiving objects: 19% (475/2499) Receiving objects: 20% (500/2499) Receiving objects: 21% (525/2499) Receiving objects: 22% (550/2499) Receiving objects: 23% (575/2499) Receiving objects: 24% (600/2499) Receiving objects: 25% (625/2499) Receiving objects: 26% (650/2499) Receiving objects: 27% (675/2499) Receiving objects: 28% (700/2499) Receiving objects: 29% (725/2499) Receiving objects: 30% (750/2499) Receiving objects: 31% (775/2499) Receiving objects: 32% (800/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 33% (825/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 34% (850/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 35% (875/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 36% (900/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 37% (925/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 38% (950/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 39% (975/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 40% (1000/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 41% (1025/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 42% (1050/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 43% (1075/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 44% (1100/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 45% (1125/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 46% (1150/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 47% (1175/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 48% (1200/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 49% (1225/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 50% (1250/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 51% (1275/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 52% (1300/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 53% (1325/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 54% (1350/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 55% (1375/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 56% (1400/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 57% (1425/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 58% (1450/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 59% (1475/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 60% (1500/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 61% (1525/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 62% (1550/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 63% (1575/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 64% (1600/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 65% (1625/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 66% (1650/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 67% (1675/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 68% (1700/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 69% (1725/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 70% (1750/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 71% (1775/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 72% (1800/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 73% (1825/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 74% (1850/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 75% (1875/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 76% (1900/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 77% (1925/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 78% (1950/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 79% (1975/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 80% (2000/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 81% (2025/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 82% (2050/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 83% (2075/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 84% (2100/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 85% (2125/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 86% (2150/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 87% (2175/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 88% (2200/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 89% (2225/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 90% (2250/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 91% (2275/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 92% (2300/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 93% (2325/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 94% (2350/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 95% (2375/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 96% (2400/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 97% (2425/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 98% (2450/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 99% (2475/2499), 5.16 MiB | 10.21 MiB/s Receiving objects: 99% (2496/2499), 18.68 MiB | 18.59 MiB/s remote: Total 2499 (delta 722), reused 1674 (delta 651), pack-reused 0 (from 0)
  6. 3.17 s Receiving objects: 100% (2499/2499), 18.68 MiB | 18.59 MiB/s Receiving objects: 100% (2499/2499), 21.23 MiB | 20.49 MiB/s, done.
  7. 3.18 s Resolving deltas: 0% (0/722) Resolving deltas: 1% (8/722) Resolving deltas: 2% (15/722) Resolving deltas: 3% (22/722) Resolving deltas: 4% (31/722) Resolving deltas: 5% (37/722) Resolving deltas: 6% (45/722) Resolving deltas: 7% (52/722) Resolving deltas: 8% (60/722) Resolving deltas: 9% (66/722) Resolving deltas: 10% (73/722) Resolving deltas: 11% (81/722) Resolving deltas: 12% (87/722) Resolving deltas: 13% (94/722) Resolving deltas: 14% (102/722) Resolving deltas: 15% (109/722) Resolving deltas: 16% (116/722) Resolving deltas: 17% (124/722) Resolving deltas: 18% (130/722) Resolving deltas: 19% (139/722) Resolving deltas: 20% (145/722) Resolving deltas: 21% (153/722) Resolving deltas: 22% (160/722) Resolving deltas: 23% (167/722) Resolving deltas: 24% (174/722) Resolving deltas: 25% (182/722) Resolving deltas: 26% (189/722) Resolving deltas: 27% (196/722) Resolving deltas: 28% (203/722) Resolving deltas: 29% (210/722) Resolving deltas: 30% (218/722) Resolving deltas: 31% (224/722) Resolving deltas: 32% (232/722) Resolving deltas: 33% (240/722) Resolving deltas: 34% (247/722) Resolving deltas: 35% (253/722) Resolving deltas: 36% (260/722) Resolving deltas: 37% (268/722) Resolving deltas: 38% (276/722) Resolving deltas: 39% (282/722) Resolving deltas: 40% (289/722) Resolving deltas: 41% (297/722) Resolving deltas: 42% (306/722) Resolving deltas: 43% (311/722) Resolving deltas: 44% (319/722) Resolving deltas: 45% (328/722) Resolving deltas: 46% (333/722) Resolving deltas: 47% (340/722) Resolving deltas: 48% (347/722) Resolving deltas: 49% (354/722) Resolving deltas: 50% (361/722) Resolving deltas: 51% (370/722) Resolving deltas: 52% (376/722) Resolving deltas: 53% (383/722) Resolving deltas: 54% (390/722) Resolving deltas: 55% (403/722) Resolving deltas: 56% (405/722) Resolving deltas: 57% (412/722) Resolving deltas: 58% (419/722) Resolving deltas: 59% (430/722) Resolving deltas: 60% (435/722) Resolving deltas: 61% (441/722) Resolving deltas: 62% (448/722) Resolving deltas: 63% (456/722) Resolving deltas: 64% (463/722) Resolving deltas: 65% (471/722) Resolving deltas: 66% (477/722) Resolving deltas: 67% (485/722) Resolving deltas: 68% (492/722) Resolving deltas: 69% (499/722) Resolving deltas: 70% (508/722) Resolving deltas: 71% (514/722) Resolving deltas: 72% (520/722) Resolving deltas: 73% (529/722) Resolving deltas: 74% (535/722) Resolving deltas: 75% (542/722) Resolving deltas: 76% (549/722) Resolving deltas: 77% (556/722) Resolving deltas: 78% (564/722) Resolving deltas: 79% (571/722) Resolving deltas: 80% (578/722) Resolving deltas: 81% (586/722) Resolving deltas: 82% (595/722) Resolving deltas: 83% (602/722) Resolving deltas: 84% (607/722) Resolving deltas: 85% (615/722) Resolving deltas: 86% (621/722) Resolving deltas: 87% (629/722) Resolving deltas: 88% (636/722) Resolving deltas: 89% (643/722) Resolving deltas: 90% (650/722) Resolving deltas: 91% (658/722) Resolving deltas: 92% (665/722) Resolving deltas: 93% (672/722) Resolving deltas: 94% (679/722) Resolving deltas: 95% (686/722) Resolving deltas: 96% (694/722) Resolving deltas: 97% (702/722) Resolving deltas: 98% (708/722) Resolving deltas: 99% (716/722) Resolving deltas: 100% (722/722) Resolving deltas: 100% (722/722), done.
  8. 3.20 s From https://github.com/alphal00p/gammaloop
  9. 3.20 s * branch e96fc0fde5f9dfaba5f0d2372e18017192c65aeb -> FETCH_HEAD
  10. 4.08 s unpacking 'github:numtide/flake-utils/11707dc2f618dd54ca8739b309ec4fc024de578b?narHash=sha256-l0KFg5HjrsfsO/JpG%2Br7fRrqm12kzFHyUHqHCVpMMbI%3D' into the Git cache...
  11. 4.65 s copying path '/nix/store/y3q4z5rj3r793r4qzhcr145qfiyc2xqk-source' from 'https://cache.nix-ci.com'...
  12. 14.07 s unpacking 'github:ipetkov/crane/eb35abda9f232cc6610b1d1e3200d15c49b7ac54?narHash=sha256-Y1/TTVXjYXGF068IThQH9fPSZ0SIE74PABlUxnWTUH0%3D' into the Git cache...
  13. 15.53 s copying path '/nix/store/lj0fr41wwbrx2mwq2378jg8qrns7b93d-source' from 'https://cache.nix-ci.com'...
  14. 26.06 s unpacking 'github:nix-community/fenix/1fc6f36a23fa16e3740987957266f6e4b915c3cd?narHash=sha256-6eaV5%2BMdWy1tAlN4HAFr64pTnYc9jiKGXBsu18cyVjE%3D' into the Git cache...
  15. 27.25 s unpacking 'github:symbolica-dev/symbolica-typst-plugin/7f869adc14dcf2758bab16aaa25e06eb10ffbfad' into the Git cache...
  16. 31.81 s remote: Enumerating objects: 735, done.
  17. 31.81 s remote: Counting objects: 0% (1/129) remote: Counting objects: 1% (2/129) remote: Counting objects: 2% (3/129) remote: Counting objects: 3% (4/129) remote: Counting objects: 4% (6/129) remote: Counting objects: 5% (7/129) remote: Counting objects: 6% (8/129) remote: Counting objects: 7% (10/129) remote: Counting objects: 8% (11/129) remote: Counting objects: 9% (12/129) remote: Counting objects: 10% (13/129) remote: Counting objects: 11% (15/129) remote: Counting objects: 12% (16/129) remote: Counting objects: 13% (17/129) remote: Counting objects: 14% (19/129) remote: Counting objects: 15% (20/129) remote: Counting objects: 16% (21/129) remote: Counting objects: 17% (22/129) remote: Counting objects: 18% (24/129) remote: Counting objects: 19% (25/129) remote: Counting objects: 20% (26/129) remote: Counting objects: 21% (28/129) remote: Counting objects: 22% (29/129) remote: Counting objects: 23% (30/129) remote: Counting objects: 24% (31/129) remote: Counting objects: 25% (33/129) remote: Counting objects: 26% (34/129) remote: Counting objects: 27% (35/129) remote: Counting objects: 28% (37/129) remote: Counting objects: 29% (38/129) remote: Counting objects: 30% (39/129) remote: Counting objects: 31% (40/129) remote: Counting objects: 32% (42/129) remote: Counting objects: 33% (43/129) remote: Counting objects: 34% (44/129) remote: Counting objects: 35% (46/129) remote: Counting objects: 36% (47/129) remote: Counting objects: 37% (48/129) remote: Counting objects: 38% (50/129) remote: Counting objects: 39% (51/129) remote: Counting objects: 40% (52/129) remote: Counting objects: 41% (53/129) remote: Counting objects: 42% (55/129) remote: Counting objects: 43% (56/129) remote: Counting objects: 44% (57/129) remote: Counting objects: 45% (59/129) remote: Counting objects: 46% (60/129) remote: Counting objects: 47% (61/129) remote: Counting objects: 48% (62/129) remote: Counting objects: 49% (64/129) remote: Counting objects: 50% (65/129) remote: Counting objects: 51% (66/129) remote: Counting objects: 52% (68/129) remote: Counting objects: 53% (69/129) remote: Counting objects: 54% (70/129) remote: Counting objects: 55% (71/129) remote: Counting objects: 56% (73/129) remote: Counting objects: 57% (74/129) remote: Counting objects: 58% (75/129) remote: Counting objects: 59% (77/129) remote: Counting objects: 60% (78/129) remote: Counting objects: 61% (79/129) remote: Counting objects: 62% (80/129) remote: Counting objects: 63% (82/129) remote: Counting objects: 64% (83/129) remote: Counting objects: 65% (84/129) remote: Counting objects: 66% (86/129) remote: Counting objects: 67% (87/129) remote: Counting objects: 68% (88/129) remote: Counting objects: 69% (90/129) remote: Counting objects: 70% (91/129) remote: Counting objects: 71% (92/129) remote: Counting objects: 72% (93/129) remote: Counting objects: 73% (95/129) remote: Counting objects: 74% (96/129) remote: Counting objects: 75% (97/129) remote: Counting objects: 76% (99/129) remote: Counting objects: 77% (100/129) remote: Counting objects: 78% (101/129) remote: Counting objects: 79% (102/129) remote: Counting objects: 80% (104/129) remote: Counting objects: 81% (105/129) remote: Counting objects: 82% (106/129) remote: Counting objects: 83% (108/129) remote: Counting objects: 84% (109/129) remote: Counting objects: 85% (110/129) remote: Counting objects: 86% (111/129) remote: Counting objects: 87% (113/129) remote: Counting objects: 88% (114/129) remote: Counting objects: 89% (115/129) remote: Counting objects: 90% (117/129) remote: Counting objects: 91% (118/129) remote: Counting objects: 92% (119/129) remote: Counting objects: 93% (120/129) remote: Counting objects: 94% (122/129) remote: Counting objects: 95% (123/129) remote: Counting objects: 96% (124/129) remote: Counting objects: 97% (126/129) remote: Counting objects: 98% (127/129) remote: Counting objects: 99% (128/129) remote: Counting objects: 100% (129/129) remote: Counting objects: 100% (129/129), done.
  18. 31.84 s remote: Compressing objects: 1% (1/72) remote: Compressing objects: 2% (2/72) remote: Compressing objects: 4% (3/72) remote: Compressing objects: 5% (4/72) remote: Compressing objects: 6% (5/72) remote: Compressing objects: 8% (6/72) remote: Compressing objects: 9% (7/72) remote: Compressing objects: 11% (8/72) remote: Compressing objects: 12% (9/72) remote: Compressing objects: 13% (10/72) remote: Compressing objects: 15% (11/72) remote: Compressing objects: 16% (12/72) remote: Compressing objects: 18% (13/72) remote: Compressing objects: 19% (14/72) remote: Compressing objects: 20% (15/72) remote: Compressing objects: 22% (16/72) remote: Compressing objects: 23% (17/72) remote: Compressing objects: 25% (18/72) remote: Compressing objects: 26% (19/72) remote: Compressing objects: 27% (20/72) remote: Compressing objects: 29% (21/72) remote: Compressing objects: 30% (22/72) remote: Compressing objects: 31% (23/72) remote: Compressing objects: 33% (24/72) remote: Compressing objects: 34% (25/72) remote: Compressing objects: 36% (26/72) remote: Compressing objects: 37% (27/72) remote: Compressing objects: 38% (28/72) remote: Compressing objects: 40% (29/72) remote: Compressing objects: 41% (30/72) remote: Compressing objects: 43% (31/72) remote: Compressing objects: 44% (32/72) remote: Compressing objects: 45% (33/72) remote: Compressing objects: 47% (34/72) remote: Compressing objects: 48% (35/72) remote: Compressing objects: 50% (36/72) remote: Compressing objects: 51% (37/72) remote: Compressing objects: 52% (38/72) remote: Compressing objects: 54% (39/72) remote: Compressing objects: 55% (40/72) remote: Compressing objects: 56% (41/72) remote: Compressing objects: 58% (42/72) remote: Compressing objects: 59% (43/72) remote: Compressing objects: 61% (44/72) remote: Compressing objects: 62% (45/72) remote: Compressing objects: 63% (46/72) remote: Compressing objects: 65% (47/72) remote: Compressing objects: 66% (48/72) remote: Compressing objects: 68% (49/72) remote: Compressing objects: 69% (50/72) remote: Compressing objects: 70% (51/72) remote: Compressing objects: 72% (52/72) remote: Compressing objects: 73% (53/72) remote: Compressing objects: 75% (54/72) remote: Compressing objects: 76% (55/72) remote: Compressing objects: 77% (56/72) remote: Compressing objects: 79% (57/72) remote: Compressing objects: 80% (58/72) remote: Compressing objects: 81% (59/72) remote: Compressing objects: 83% (60/72) remote: Compressing objects: 84% (61/72) remote: Compressing objects: 86% (62/72) remote: Compressing objects: 87% (63/72) remote: Compressing objects: 88% (64/72) remote: Compressing objects: 90% (65/72) remote: Compressing objects: 91% (66/72) remote: Compressing objects: 93% (67/72) remote: Compressing objects: 94% (68/72) remote: Compressing objects: 95% (69/72) remote: Compressing objects: 97% (70/72) remote: Compressing objects: 98% (71/72) remote: Compressing objects: 100% (72/72) remote: Compressing objects: 100% (72/72), done.
  19. 32.07 s Receiving objects: 0% (1/735) Receiving objects: 1% (8/735) Receiving objects: 2% (15/735) Receiving objects: 3% (23/735) Receiving objects: 4% (30/735) Receiving objects: 5% (37/735) Receiving objects: 6% (45/735) Receiving objects: 7% (52/735) Receiving objects: 8% (59/735) Receiving objects: 9% (67/735) Receiving objects: 10% (74/735) Receiving objects: 11% (81/735) Receiving objects: 12% (89/735) Receiving objects: 13% (96/735) Receiving objects: 14% (103/735) Receiving objects: 15% (111/735) Receiving objects: 16% (118/735) Receiving objects: 17% (125/735) Receiving objects: 18% (133/735) Receiving objects: 19% (140/735) Receiving objects: 20% (147/735) Receiving objects: 21% (155/735) Receiving objects: 22% (162/735) Receiving objects: 23% (170/735) Receiving objects: 24% (177/735) Receiving objects: 25% (184/735) Receiving objects: 26% (192/735) Receiving objects: 27% (199/735) Receiving objects: 28% (206/735) Receiving objects: 29% (214/735) Receiving objects: 30% (221/735) Receiving objects: 31% (228/735) Receiving objects: 32% (236/735) Receiving objects: 33% (243/735) Receiving objects: 34% (250/735) Receiving objects: 35% (258/735) Receiving objects: 36% (265/735) Receiving objects: 37% (272/735) Receiving objects: 38% (280/735) Receiving objects: 39% (287/735) Receiving objects: 40% (294/735) Receiving objects: 41% (302/735) Receiving objects: 42% (309/735) Receiving objects: 43% (317/735) Receiving objects: 44% (324/735) Receiving objects: 45% (331/735) Receiving objects: 46% (339/735) Receiving objects: 47% (346/735) Receiving objects: 48% (353/735) Receiving objects: 49% (361/735) Receiving objects: 50% (368/735) Receiving objects: 51% (375/735) Receiving objects: 52% (383/735) Receiving objects: 53% (390/735) Receiving objects: 54% (397/735) Receiving objects: 55% (405/735) Receiving objects: 56% (412/735) Receiving objects: 57% (419/735) Receiving objects: 58% (427/735) Receiving objects: 59% (434/735) Receiving objects: 60% (441/735) Receiving objects: 61% (449/735) Receiving objects: 62% (456/735) Receiving objects: 63% (464/735) Receiving objects: 64% (471/735) Receiving objects: 65% (478/735) Receiving objects: 66% (486/735) Receiving objects: 67% (493/735) Receiving objects: 68% (500/735) Receiving objects: 69% (508/735) Receiving objects: 70% (515/735) Receiving objects: 71% (522/735) Receiving objects: 72% (530/735) Receiving objects: 73% (537/735) Receiving objects: 74% (544/735) Receiving objects: 75% (552/735) Receiving objects: 76% (559/735) Receiving objects: 77% (566/735) Receiving objects: 78% (574/735) Receiving objects: 79% (581/735) Receiving objects: 80% (588/735) Receiving objects: 81% (596/735) Receiving objects: 82% (603/735) Receiving objects: 83% (611/735) Receiving objects: 84% (618/735) Receiving objects: 85% (625/735) Receiving objects: 86% (633/735) Receiving objects: 87% (640/735) Receiving objects: 88% (647/735) Receiving objects: 89% (655/735) Receiving objects: 90% (662/735) Receiving objects: 91% (669/735) remote: Total 735 (delta 77), reused 90 (delta 50), pack-reused 606 (from 1)
  20. 32.07 s Receiving objects: 92% (677/735) Receiving objects: 93% (684/735) Receiving objects: 94% (691/735) Receiving objects: 95% (699/735) Receiving objects: 96% (706/735) Receiving objects: 97% (713/735) Receiving objects: 98% (721/735) Receiving objects: 99% (728/735) Receiving objects: 100% (735/735) Receiving objects: 100% (735/735), 158.80 KiB | 697.00 KiB/s, done.
  21. 32.07 s Resolving deltas: 0% (0/468) Resolving deltas: 1% (5/468) Resolving deltas: 2% (10/468) Resolving deltas: 3% (17/468) Resolving deltas: 4% (19/468) Resolving deltas: 5% (26/468) Resolving deltas: 6% (29/468) Resolving deltas: 7% (34/468) Resolving deltas: 8% (38/468) Resolving deltas: 9% (43/468) Resolving deltas: 10% (47/468) Resolving deltas: 11% (52/468) Resolving deltas: 12% (58/468) Resolving deltas: 13% (61/468) Resolving deltas: 14% (67/468) Resolving deltas: 15% (73/468) Resolving deltas: 16% (75/468) Resolving deltas: 17% (80/468) Resolving deltas: 18% (86/468) Resolving deltas: 19% (90/468) Resolving deltas: 20% (94/468) Resolving deltas: 21% (99/468) Resolving deltas: 22% (103/468) Resolving deltas: 23% (108/468) Resolving deltas: 24% (113/468) Resolving deltas: 25% (117/468) Resolving deltas: 26% (122/468) Resolving deltas: 27% (127/468) Resolving deltas: 28% (133/468) Resolving deltas: 29% (136/468) Resolving deltas: 30% (141/468) Resolving deltas: 31% (146/468) Resolving deltas: 32% (152/468) Resolving deltas: 33% (155/468) Resolving deltas: 34% (160/468) Resolving deltas: 35% (165/468) Resolving deltas: 36% (169/468) Resolving deltas: 37% (176/468) Resolving deltas: 38% (178/468) Resolving deltas: 39% (184/468) Resolving deltas: 40% (188/468) Resolving deltas: 41% (192/468) Resolving deltas: 42% (197/468) Resolving deltas: 43% (203/468) Resolving deltas: 44% (207/468) Resolving deltas: 45% (211/468) Resolving deltas: 46% (216/468) Resolving deltas: 47% (220/468) Resolving deltas: 48% (225/468) Resolving deltas: 49% (230/468) Resolving deltas: 50% (235/468) Resolving deltas: 51% (239/468) Resolving deltas: 52% (244/468) Resolving deltas: 53% (249/468) Resolving deltas: 54% (253/468) Resolving deltas: 55% (258/468) Resolving deltas: 57% (267/468) Resolving deltas: 58% (273/468) Resolving deltas: 59% (277/468) Resolving deltas: 60% (281/468) Resolving deltas: 61% (286/468) Resolving deltas: 62% (291/468) Resolving deltas: 63% (295/468) Resolving deltas: 64% (300/468) Resolving deltas: 65% (305/468) Resolving deltas: 66% (309/468) Resolving deltas: 67% (314/468) Resolving deltas: 68% (321/468) Resolving deltas: 69% (323/468) Resolving deltas: 70% (328/468) Resolving deltas: 71% (333/468) Resolving deltas: 72% (337/468) Resolving deltas: 73% (342/468) Resolving deltas: 74% (347/468) Resolving deltas: 75% (351/468) Resolving deltas: 76% (356/468) Resolving deltas: 77% (361/468) Resolving deltas: 78% (366/468) Resolving deltas: 79% (371/468) Resolving deltas: 80% (375/468) Resolving deltas: 81% (380/468) Resolving deltas: 82% (386/468) Resolving deltas: 83% (389/468) Resolving deltas: 84% (394/468) Resolving deltas: 85% (398/468) Resolving deltas: 86% (404/468) Resolving deltas: 87% (408/468) Resolving deltas: 88% (412/468) Resolving deltas: 89% (417/468) Resolving deltas: 90% (423/468) Resolving deltas: 91% (426/468) Resolving deltas: 92% (431/468) Resolving deltas: 93% (439/468) Resolving deltas: 94% (440/468) Resolving deltas: 95% (445/468) Resolving deltas: 96% (451/468) Resolving deltas: 97% (454/468) Resolving deltas: 98% (459/468) Resolving deltas: 99% (464/468) Resolving deltas: 100% (468/468) Resolving deltas: 100% (468/468), done.
  22. 32.08 s From https://github.com/alphal00p/momtrop
  23. 32.08 s * [new branch] criterion-dev-dependency -> criterion-dev-dependency
  24. 32.08 s * [new branch] float_refactor -> float_refactor
  25. 32.08 s * [new branch] logger_feature -> logger_feature
  26. 32.08 s * [new branch] main -> main
  27. 32.08 s * [new branch] pyo3 -> pyo3
  28. 32.08 s * [new branch] sympol -> sympol
  29. 32.08 s * [new branch] test_branch -> test_branch
  30. 32.08 s * [new ref] refs/pull/1/head -> refs/pull/1/head
  31. 32.08 s * [new ref] refs/pull/2/head -> refs/pull/2/head
  32. 32.08 s * [new ref] refs/pull/3/head -> refs/pull/3/head
  33. 32.08 s * [new ref] refs/pull/4/head -> refs/pull/4/head
  34. 32.08 s * [new tag] v0.2.0 -> v0.2.0
  35. 32.08 s * [new tag] v0.2.1 -> v0.2.1
  36. 32.08 s * [new tag] v0.3.0 -> v0.3.0
  37. 39.85 s {"attrPath":["checks","x86_64-linux","alphal00p-docs"],"drvPath":"/nix/store/z8nkvh1sbb3gxwwralfqzwaamil64sgf-alphal00p-docs-check.drv","isCached":false,"type":"job"}
  38. 40.20 s {"attrPath":["checks","x86_64-linux","alphal00p-docs-watch"],"drvPath":"/nix/store/wwp1ancsfcn8n9jwzxy2apv1824z9vyd-alphal00p-docs-watch-0.1.0.drv","isCached":false,"type":"job"}
  39. 40.84 s {"attrPath":["checks","x86_64-linux","gammaloop-check"],"drvPath":"/nix/store/l49h3bcr54j66wxghl26h19y4m5zh3ib-gammaloop-workspace-check-0.1.0.drv","isCached":false,"type":"job"}
  40. 40.88 s {"attrPath":["checks","x86_64-linux","gammaloop-clippy"],"drvPath":"/nix/store/ry7swm7dnwl14d14h86x8whklj9abpz9-gammaloop-workspace-clippy-0.1.0.drv","isCached":true,"type":"job"}
  41. 41.14 s {"attrPath":["checks","x86_64-linux","gammaloop-doc"],"drvPath":"/nix/store/gpjrs2x7ir2h4gz9zxqwrc956da7r9ai-gammaloop-workspace-doc-0.1.0.drv","isCached":false,"type":"job"}
  42. 41.42 s {"attrPath":["checks","x86_64-linux","gammaloop-doctest"],"drvPath":"/nix/store/r1v25ckywp8dcnih18sbw0gazvqfs7j3-gammaloop-workspace-doctest-0.1.0.drv","isCached":false,"type":"job"}
  43. 41.70 s {"attrPath":["checks","x86_64-linux","gammaloop-fmt"],"drvPath":"/nix/store/s3vwq62irj9bviwh2ln4dmrasashc3gp-gammaloop-workspace-fmt-0.1.0.drv","isCached":true,"type":"job"}
  44. 41.89 s {"attrPath":["checks","x86_64-linux","gammaloop-guppy-workspace-graph"],"drvPath":"/nix/store/hxgj90g6di3cjc2sspqgq0wxrg8sqa19-gammaloop-guppy-workspace-graph-check.drv","isCached":true,"type":"job"}
  45. 42.21 s unpacking 'github:alphal00p/gammaloop/9935a2b52d047daf5bbe6616c798fa07e364da6a?narHash=sha256-cWleUrCGGmboOPaL4vxbG7E7P8frOaMto3hhed4EP5U%3D' into the Git cache...
  46. 46.19 s {"attrPath":["checks","x86_64-linux","gammaloop"],"drvPath":"/nix/store/9zwhr5yjbv1j3icfipw612c7yhd2wi60-gammaloop-api-0.1.0.drv","isCached":false,"type":"job"}
  47. 46.21 s unpacking 'github:alphal00p/gammaloop/9935a2b52d047daf5bbe6616c798fa07e364da6a?narHash=sha256-cWleUrCGGmboOPaL4vxbG7E7P8frOaMto3hhed4EP5U%3D' into the Git cache...
  48. 60.33 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries"],"drvPath":"/nix/store/wny8bgaz8q9pwm4bdaw79gjvpqsa0mhi-gammaloop-nextest-binaries.drv","isCached":false,"type":"job"}
  49. 60.36 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-clinnet"],"drvPath":"/nix/store/i1fdhbc97m9sm6ysljy3xbx7jck7qj9m-gammaloop-nextest-binaries-clinnet.drv","isCached":true,"type":"job"}
  50. 60.39 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-core"],"drvPath":"/nix/store/3l6pwpgx8fbklag6p81jhrbxbg3chi8j-gammaloop-nextest-binaries-core.drv","isCached":true,"type":"job"}
  51. 60.42 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-docs"],"drvPath":"/nix/store/pvdk34zxpl8h0hwmz2xp1l1vw4mfpvc9-gammaloop-nextest-binaries-docs.drv","isCached":true,"type":"job"}
  52. 60.45 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-integration"],"drvPath":"/nix/store/6wi9ns9az30lvizpib24n3gfnd419h60-gammaloop-nextest-binaries-integration.drv","isCached":true,"type":"job"}
  53. 60.48 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-linnet"],"drvPath":"/nix/store/i8dg0pz2byjwp09n7b28i5v716wsgk0v-gammaloop-nextest-binaries-linnet.drv","isCached":true,"type":"job"}
  54. 60.52 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-python-api"],"drvPath":"/nix/store/71fb4g2m4mlkg6pvq5s284k44c6nfw40-gammaloop-nextest-binaries-python-api.drv","isCached":true,"type":"job"}
  55. 60.52 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest"],"drvPath":"/nix/store/bskcq7q77wv2db9h6i9r3j4xx7p5rhif-gammaloop-nextest.drv","isCached":false,"type":"job"}
  56. 60.54 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-spenso"],"drvPath":"/nix/store/ilk0jbx0sfb1lqgqc8rr6agv7qlwv3cv-gammaloop-nextest-binaries-spenso.drv","isCached":true,"type":"job"}
  57. 60.55 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-vakint"],"drvPath":"/nix/store/d3nd0r41889rmhvpb9zg8f3ny695qvz8-gammaloop-nextest-binaries-vakint.drv","isCached":true,"type":"job"}
  58. 60.82 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-core"],"drvPath":"/nix/store/fyxh6sph89p9hg8z5gby992z2j2k5nc7-gammaloop-nextest-core.drv","isCached":false,"type":"job"}
  59. 61.09 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-docs"],"drvPath":"/nix/store/0vsdhdqlnc3lx5lpqn8paqrvbshfp7lg-gammaloop-nextest-docs.drv","isCached":false,"type":"job"}
  60. 61.42 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-integration"],"drvPath":"/nix/store/rli24377ng0ahv8616pxfjhxhw73k0pn-gammaloop-nextest-integration.drv","isCached":false,"type":"job"}
  61. 61.67 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-linnet"],"drvPath":"/nix/store/i4wx2lpan133frbq27d95p37yn4i5xa3-gammaloop-nextest-linnet.drv","isCached":false,"type":"job"}
  62. 61.94 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-python-api"],"drvPath":"/nix/store/88y8h5jjjgcym9h9nwkfly44z2vra3mc-gammaloop-nextest-python-api.drv","isCached":false,"type":"job"}
  63. 62.20 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-spenso"],"drvPath":"/nix/store/gr84lm9brnazxzwq1vc5k8bpkfk8jl9x-gammaloop-nextest-spenso.drv","isCached":false,"type":"job"}
  64. 62.31 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-clinnet"],"drvPath":"/nix/store/f8f2fnxwfa56blhkkazs8h3jbq8sv874-gammaloop-nextest-clinnet.drv","isCached":false,"type":"job"}
  65. 62.47 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-vakint"],"drvPath":"/nix/store/xy4zk3q7v5hhxm83ccmslpq0ygaw2dkz-gammaloop-nextest-vakint.drv","isCached":false,"type":"job"}
  66. 62.78 s {"attrPath":["checks","x86_64-linux","linnest-wasm"],"drvPath":"/nix/store/kgad6758xg5z15lph3xid371rkkdb4qw-linnest-wasm-check.drv","isCached":false,"type":"job"}
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