evaluate x86_64-linux

Reproduce this run
  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=main&rev=8c92672b21772f91d479cb1f6c24b25b24a462de --system x86_64-linux
  2. 1.23 s remote: Enumerating objects: 2523, done.
  3. 1.43 s remote: Counting objects: 0% (1/2523) remote: Counting objects: 1% (26/2523) remote: Counting objects: 2% (51/2523) remote: Counting objects: 3% (76/2523) remote: Counting objects: 4% (101/2523) remote: Counting objects: 5% (127/2523) remote: Counting objects: 6% (152/2523) remote: Counting objects: 7% (177/2523) remote: Counting objects: 8% (202/2523) remote: Counting objects: 9% (228/2523) remote: Counting objects: 10% (253/2523) remote: Counting objects: 11% (278/2523) remote: Counting objects: 12% (303/2523) remote: Counting objects: 13% (328/2523) remote: Counting objects: 14% (354/2523) remote: Counting objects: 15% (379/2523) remote: Counting objects: 16% (404/2523) remote: Counting objects: 17% (429/2523) remote: Counting objects: 18% (455/2523) remote: Counting objects: 19% (480/2523) remote: Counting objects: 20% (505/2523) remote: Counting objects: 21% (530/2523) remote: Counting objects: 22% (556/2523) remote: Counting objects: 23% (581/2523) remote: Counting objects: 24% (606/2523) remote: Counting objects: 25% (631/2523) remote: Counting objects: 26% (656/2523) remote: Counting objects: 27% (682/2523) remote: Counting objects: 28% (707/2523) remote: Counting objects: 29% (732/2523) remote: Counting objects: 30% (757/2523) remote: Counting objects: 31% (783/2523) remote: Counting objects: 32% (808/2523) remote: Counting objects: 33% (833/2523) remote: Counting objects: 34% (858/2523) remote: Counting objects: 35% (884/2523) remote: Counting objects: 36% (909/2523) remote: Counting objects: 37% (934/2523) remote: Counting objects: 38% (959/2523) remote: Counting objects: 39% (984/2523) remote: Counting objects: 40% (1010/2523) remote: Counting objects: 41% (1035/2523) remote: Counting objects: 42% (1060/2523) remote: Counting objects: 43% (1085/2523) remote: Counting objects: 44% (1111/2523) remote: Counting objects: 45% (1136/2523) remote: Counting objects: 46% (1161/2523) remote: Counting objects: 47% (1186/2523) remote: Counting objects: 48% (1212/2523) remote: Counting objects: 49% (1237/2523) remote: Counting objects: 50% (1262/2523) remote: Counting objects: 51% (1287/2523) remote: Counting objects: 52% (1312/2523) remote: Counting objects: 53% (1338/2523) remote: Counting objects: 54% (1363/2523) remote: Counting objects: 55% (1388/2523) remote: Counting objects: 56% (1413/2523) remote: Counting objects: 57% (1439/2523) remote: Counting objects: 58% (1464/2523) remote: Counting objects: 59% (1489/2523) remote: Counting objects: 60% (1514/2523) remote: Counting objects: 61% (1540/2523) remote: Counting objects: 62% (1565/2523) remote: Counting objects: 63% (1590/2523) remote: Counting objects: 64% (1615/2523) remote: Counting objects: 65% (1640/2523) remote: Counting objects: 66% (1666/2523) remote: Counting objects: 67% (1691/2523) remote: Counting objects: 68% (1716/2523) remote: Counting objects: 69% (1741/2523) remote: Counting objects: 70% (1767/2523) remote: Counting objects: 71% (1792/2523) remote: Counting objects: 72% (1817/2523) remote: Counting objects: 73% (1842/2523) remote: Counting objects: 74% (1868/2523) remote: Counting objects: 75% (1893/2523) remote: Counting objects: 76% (1918/2523) remote: Counting objects: 77% (1943/2523) remote: Counting objects: 78% (1968/2523) remote: Counting objects: 79% (1994/2523) remote: Counting objects: 80% (2019/2523) remote: Counting objects: 81% (2044/2523) remote: Counting objects: 82% (2069/2523) remote: Counting objects: 83% (2095/2523) remote: Counting objects: 84% (2120/2523) remote: Counting objects: 85% (2145/2523) remote: Counting objects: 86% (2170/2523) remote: Counting objects: 87% (2196/2523) remote: Counting objects: 88% (2221/2523) remote: Counting objects: 89% (2246/2523) remote: Counting objects: 90% (2271/2523) remote: Counting objects: 91% (2296/2523) remote: Counting objects: 92% (2322/2523) remote: Counting objects: 93% (2347/2523) remote: Counting objects: 94% (2372/2523) remote: Counting objects: 95% (2397/2523) remote: Counting objects: 96% (2423/2523) remote: Counting objects: 97% (2448/2523) remote: Counting objects: 98% (2473/2523) remote: Counting objects: 99% (2498/2523) remote: Counting objects: 100% (2523/2523) remote: Counting objects: 100% (2523/2523), done.
  4. 3.00 s remote: Compressing objects: 0% (1/1785) remote: Compressing objects: 1% (18/1785) remote: Compressing objects: 2% (36/1785) remote: Compressing objects: 3% (54/1785) remote: Compressing objects: 4% (72/1785) remote: Compressing objects: 5% (90/1785) remote: Compressing objects: 6% (108/1785) remote: Compressing objects: 7% (125/1785) remote: Compressing objects: 8% (143/1785) remote: Compressing objects: 9% (161/1785) remote: Compressing objects: 10% (179/1785) remote: Compressing objects: 11% (197/1785) remote: Compressing objects: 12% (215/1785) remote: Compressing objects: 13% (233/1785) remote: Compressing objects: 14% (250/1785) remote: Compressing objects: 15% (268/1785) remote: Compressing objects: 16% (286/1785) remote: Compressing objects: 17% (304/1785) remote: Compressing objects: 18% (322/1785) remote: Compressing objects: 19% (340/1785) remote: Compressing objects: 20% (357/1785) remote: Compressing objects: 21% (375/1785) remote: Compressing objects: 22% (393/1785) remote: Compressing objects: 23% (411/1785) remote: Compressing objects: 24% (429/1785) remote: Compressing objects: 25% (447/1785) remote: Compressing objects: 26% (465/1785) remote: Compressing objects: 27% (482/1785) remote: Compressing objects: 28% (500/1785) remote: Compressing objects: 29% (518/1785) remote: Compressing objects: 30% (536/1785) remote: Compressing objects: 31% (554/1785) remote: Compressing objects: 32% (572/1785) remote: Compressing objects: 33% (590/1785) remote: Compressing objects: 34% (607/1785) remote: Compressing objects: 35% (625/1785) remote: Compressing objects: 36% (643/1785) remote: Compressing objects: 37% (661/1785) remote: Compressing objects: 38% (679/1785) remote: Compressing objects: 39% (697/1785) remote: Compressing objects: 40% (714/1785) remote: Compressing objects: 41% (732/1785) remote: Compressing objects: 42% (750/1785) remote: Compressing objects: 43% (768/1785) remote: Compressing objects: 44% (786/1785) remote: Compressing objects: 45% (804/1785) remote: Compressing objects: 46% (822/1785) remote: Compressing objects: 47% (839/1785) remote: Compressing objects: 48% (857/1785) remote: Compressing objects: 49% (875/1785) remote: Compressing objects: 50% (893/1785) remote: Compressing objects: 51% (911/1785) remote: Compressing objects: 52% (929/1785) remote: Compressing objects: 52% (944/1785) remote: Compressing objects: 53% (947/1785) remote: Compressing objects: 54% (964/1785) remote: Compressing objects: 55% (982/1785) remote: Compressing objects: 56% (1000/1785) remote: Compressing objects: 57% (1018/1785) remote: Compressing objects: 58% (1036/1785) remote: Compressing objects: 59% (1054/1785) remote: Compressing objects: 60% (1071/1785) remote: Compressing objects: 61% (1089/1785) remote: Compressing objects: 62% (1107/1785) remote: Compressing objects: 63% (1125/1785) remote: Compressing objects: 64% (1143/1785) remote: Compressing objects: 65% (1161/1785) remote: Compressing objects: 66% (1179/1785) remote: Compressing objects: 67% (1196/1785) remote: Compressing objects: 68% (1214/1785) remote: Compressing objects: 69% (1232/1785) remote: Compressing objects: 70% (1250/1785) remote: Compressing objects: 71% (1268/1785) remote: Compressing objects: 72% (1286/1785) remote: Compressing objects: 73% (1304/1785) remote: Compressing objects: 74% (1321/1785) remote: Compressing objects: 75% (1339/1785) remote: Compressing objects: 76% (1357/1785) remote: Compressing objects: 77% (1375/1785) remote: Compressing objects: 78% (1393/1785) remote: Compressing objects: 79% (1411/1785) remote: Compressing objects: 80% (1428/1785) remote: Compressing objects: 81% (1446/1785) remote: Compressing objects: 82% (1464/1785) remote: Compressing objects: 83% (1482/1785) remote: Compressing objects: 84% (1500/1785) remote: Compressing objects: 85% (1518/1785) remote: Compressing objects: 86% (1536/1785) remote: Compressing objects: 87% (1553/1785) remote: Compressing objects: 88% (1571/1785) remote: Compressing objects: 89% (1589/1785) remote: Compressing objects: 90% (1607/1785) remote: Compressing objects: 91% (1625/1785) remote: Compressing objects: 92% (1643/1785) remote: Compressing objects: 93% (1661/1785) remote: Compressing objects: 94% (1678/1785) remote: Compressing objects: 95% (1696/1785) remote: Compressing objects: 96% (1714/1785) remote: Compressing objects: 97% (1732/1785) remote: Compressing objects: 98% (1750/1785) remote: Compressing objects: 99% (1768/1785) remote: Compressing objects: 100% (1785/1785) remote: Compressing objects: 100% (1785/1785), done.
  5. 4.61 s Receiving objects: 0% (1/2523) Receiving objects: 1% (26/2523) Receiving objects: 2% (51/2523) Receiving objects: 3% (76/2523) Receiving objects: 4% (101/2523) Receiving objects: 5% (127/2523) Receiving objects: 6% (152/2523) Receiving objects: 7% (177/2523) Receiving objects: 8% (202/2523) Receiving objects: 9% (228/2523) Receiving objects: 10% (253/2523) Receiving objects: 11% (278/2523) Receiving objects: 12% (303/2523) Receiving objects: 13% (328/2523) Receiving objects: 14% (354/2523) Receiving objects: 15% (379/2523) Receiving objects: 16% (404/2523) Receiving objects: 17% (429/2523) Receiving objects: 18% (455/2523) Receiving objects: 19% (480/2523) Receiving objects: 20% (505/2523) Receiving objects: 21% (530/2523) Receiving objects: 22% (556/2523) Receiving objects: 23% (581/2523) Receiving objects: 24% (606/2523) Receiving objects: 25% (631/2523) Receiving objects: 26% (656/2523) Receiving objects: 27% (682/2523) Receiving objects: 28% (707/2523) Receiving objects: 29% (732/2523) Receiving objects: 30% (757/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 31% (783/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 32% (808/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 33% (833/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 34% (858/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 35% (884/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 36% (909/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 37% (934/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 38% (959/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 39% (984/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 40% (1010/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 41% (1035/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 42% (1060/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 43% (1085/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 44% (1111/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 45% (1136/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 46% (1161/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 47% (1186/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 47% (1201/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 48% (1212/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 49% (1237/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 50% (1262/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 51% (1287/2523), 4.36 MiB | 6.68 MiB/s Receiving objects: 52% (1312/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 53% (1338/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 54% (1363/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 55% (1388/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 56% (1413/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 57% (1439/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 58% (1464/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 59% (1489/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 60% (1514/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 61% (1540/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 62% (1565/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 63% (1590/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 64% (1615/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 65% (1640/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 66% (1666/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 67% (1691/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 68% (1716/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 69% (1741/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 70% (1767/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 71% (1792/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 72% (1817/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 73% (1842/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 74% (1868/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 75% (1893/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 76% (1918/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 77% (1943/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 78% (1968/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 79% (1994/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 80% (2019/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 81% (2044/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 82% (2069/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 83% (2095/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 84% (2120/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 85% (2145/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 86% (2170/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 87% (2196/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 88% (2221/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 89% (2246/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 90% (2271/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 91% (2296/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 92% (2322/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 93% (2347/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 94% (2372/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 95% (2397/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 96% (2423/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 97% (2448/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 98% (2473/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 99% (2498/2523), 12.50 MiB | 10.82 MiB/s remote: Total 2523 (delta 731), reused 1668 (delta 649), pack-reused 0 (from 0)
  6. 4.61 s Receiving objects: 100% (2523/2523), 12.50 MiB | 10.82 MiB/s Receiving objects: 100% (2523/2523), 21.15 MiB | 13.17 MiB/s, done.
  7. 4.63 s Resolving deltas: 0% (0/731) Resolving deltas: 1% (8/731) Resolving deltas: 2% (15/731) Resolving deltas: 3% (23/731) Resolving deltas: 4% (30/731) Resolving deltas: 5% (37/731) Resolving deltas: 6% (44/731) Resolving deltas: 7% (53/731) Resolving deltas: 8% (60/731) Resolving deltas: 9% (66/731) Resolving deltas: 10% (74/731) Resolving deltas: 11% (81/731) Resolving deltas: 12% (88/731) Resolving deltas: 13% (96/731) Resolving deltas: 14% (103/731) Resolving deltas: 15% (110/731) Resolving deltas: 16% (117/731) Resolving deltas: 17% (125/731) Resolving deltas: 18% (133/731) Resolving deltas: 19% (139/731) Resolving deltas: 20% (150/731) Resolving deltas: 21% (154/731) Resolving deltas: 22% (161/731) Resolving deltas: 23% (169/731) Resolving deltas: 24% (176/731) Resolving deltas: 25% (183/731) Resolving deltas: 26% (191/731) Resolving deltas: 27% (199/731) Resolving deltas: 28% (205/731) Resolving deltas: 29% (215/731) Resolving deltas: 30% (220/731) Resolving deltas: 31% (227/731) Resolving deltas: 32% (234/731) Resolving deltas: 33% (244/731) Resolving deltas: 34% (249/731) Resolving deltas: 35% (256/731) Resolving deltas: 36% (264/731) Resolving deltas: 37% (273/731) Resolving deltas: 38% (279/731) Resolving deltas: 39% (286/731) Resolving deltas: 40% (293/731) Resolving deltas: 41% (300/731) Resolving deltas: 42% (308/731) Resolving deltas: 43% (315/731) Resolving deltas: 44% (322/731) Resolving deltas: 45% (330/731) Resolving deltas: 46% (339/731) Resolving deltas: 47% (344/731) Resolving deltas: 48% (351/731) Resolving deltas: 49% (359/731) Resolving deltas: 50% (366/731) Resolving deltas: 51% (373/731) Resolving deltas: 52% (383/731) Resolving deltas: 53% (388/731) Resolving deltas: 54% (395/731) Resolving deltas: 55% (403/731) Resolving deltas: 56% (410/731) Resolving deltas: 57% (417/731) Resolving deltas: 58% (424/731) Resolving deltas: 59% (432/731) Resolving deltas: 60% (439/731) Resolving deltas: 61% (447/731) Resolving deltas: 62% (454/731) Resolving deltas: 63% (461/731) Resolving deltas: 64% (469/731) Resolving deltas: 65% (476/731) Resolving deltas: 66% (483/731) Resolving deltas: 67% (492/731) Resolving deltas: 68% (498/731) Resolving deltas: 69% (506/731) Resolving deltas: 70% (512/731) Resolving deltas: 71% (523/731) Resolving deltas: 72% (527/731) Resolving deltas: 73% (534/731) Resolving deltas: 74% (542/731) Resolving deltas: 75% (551/731) Resolving deltas: 76% (556/731) Resolving deltas: 77% (563/731) Resolving deltas: 78% (571/731) Resolving deltas: 79% (578/731) Resolving deltas: 80% (587/731) Resolving deltas: 81% (593/731) Resolving deltas: 82% (600/731) Resolving deltas: 83% (607/731) Resolving deltas: 84% (616/731) Resolving deltas: 85% (622/731) Resolving deltas: 86% (629/731) Resolving deltas: 87% (636/731) Resolving deltas: 88% (644/731) Resolving deltas: 89% (651/731) Resolving deltas: 90% (659/731) Resolving deltas: 91% (667/731) Resolving deltas: 92% (673/731) Resolving deltas: 93% (680/731) Resolving deltas: 94% (688/731) Resolving deltas: 95% (695/731) Resolving deltas: 96% (702/731) Resolving deltas: 97% (710/731) Resolving deltas: 98% (717/731) Resolving deltas: 99% (724/731) Resolving deltas: 100% (731/731) Resolving deltas: 100% (731/731), done.
  8. 4.67 s From https://github.com/alphal00p/gammaloop
  9. 4.67 s * branch 8c92672b21772f91d479cb1f6c24b25b24a462de -> FETCH_HEAD
  10. 5.58 s unpacking 'github:numtide/flake-utils/11707dc2f618dd54ca8739b309ec4fc024de578b?narHash=sha256-l0KFg5HjrsfsO/JpG%2Br7fRrqm12kzFHyUHqHCVpMMbI%3D' into the Git cache...
  11. 6.05 s copying path '/nix/store/y3q4z5rj3r793r4qzhcr145qfiyc2xqk-source' from 'https://cache.nix-ci.com'...
  12. 13.87 s unpacking 'github:ipetkov/crane/eb35abda9f232cc6610b1d1e3200d15c49b7ac54?narHash=sha256-Y1/TTVXjYXGF068IThQH9fPSZ0SIE74PABlUxnWTUH0%3D' into the Git cache...
  13. 15.39 s copying path '/nix/store/lj0fr41wwbrx2mwq2378jg8qrns7b93d-source' from 'https://cache.nix-ci.com'...
  14. 27.43 s unpacking 'github:nix-community/fenix/1fc6f36a23fa16e3740987957266f6e4b915c3cd?narHash=sha256-6eaV5%2BMdWy1tAlN4HAFr64pTnYc9jiKGXBsu18cyVjE%3D' into the Git cache...
  15. 28.71 s unpacking 'github:symbolica-dev/symbolica-typst-plugin/7f869adc14dcf2758bab16aaa25e06eb10ffbfad' into the Git cache...
  16. 33.51 s remote: Enumerating objects: 735, done.
  17. 33.52 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. 33.52 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. 33.55 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) remote: Total 735 (delta 77), reused 90 (delta 50), pack-reused 606 (from 1)
  20. 33.56 s 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) 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 | 6.11 MiB/s, done.
  21. 33.56 s Resolving deltas: 0% (0/468) Resolving deltas: 1% (6/468) Resolving deltas: 2% (12/468) Resolving deltas: 3% (16/468) Resolving deltas: 4% (19/468) Resolving deltas: 5% (24/468) Resolving deltas: 6% (30/468) Resolving deltas: 7% (35/468) Resolving deltas: 8% (38/468) Resolving deltas: 9% (43/468) Resolving deltas: 10% (47/468) Resolving deltas: 11% (53/468) Resolving deltas: 12% (57/468) Resolving deltas: 13% (61/468) Resolving deltas: 14% (66/468) Resolving deltas: 15% (72/468) Resolving deltas: 16% (75/468) Resolving deltas: 17% (80/468) Resolving deltas: 18% (85/468) Resolving deltas: 19% (89/468) Resolving deltas: 20% (94/468) Resolving deltas: 21% (99/468) Resolving deltas: 22% (104/468) Resolving deltas: 23% (109/468) Resolving deltas: 24% (113/468) Resolving deltas: 25% (117/468) Resolving deltas: 26% (124/468) Resolving deltas: 27% (128/468) Resolving deltas: 28% (132/468) Resolving deltas: 29% (136/468) Resolving deltas: 30% (141/468) Resolving deltas: 31% (146/468) Resolving deltas: 32% (150/468) Resolving deltas: 33% (155/468) Resolving deltas: 34% (160/468) Resolving deltas: 35% (164/468) Resolving deltas: 36% (169/468) Resolving deltas: 37% (174/468) Resolving deltas: 38% (180/468) Resolving deltas: 39% (184/468) Resolving deltas: 40% (189/468) Resolving deltas: 41% (192/468) Resolving deltas: 42% (197/468) Resolving deltas: 43% (202/468) Resolving deltas: 44% (206/468) Resolving deltas: 45% (211/468) Resolving deltas: 46% (218/468) Resolving deltas: 47% (220/468) Resolving deltas: 48% (225/468) Resolving deltas: 49% (230/468) Resolving deltas: 50% (234/468) Resolving deltas: 51% (239/468) Resolving deltas: 52% (244/468) Resolving deltas: 53% (249/468) Resolving deltas: 54% (254/468) Resolving deltas: 55% (259/468) Resolving deltas: 56% (263/468) Resolving deltas: 57% (268/468) Resolving deltas: 58% (272/468) Resolving deltas: 59% (278/468) Resolving deltas: 60% (281/468) Resolving deltas: 62% (291/468) Resolving deltas: 63% (295/468) Resolving deltas: 64% (300/468) Resolving deltas: 65% (307/468) Resolving deltas: 66% (309/468) Resolving deltas: 67% (315/468) Resolving deltas: 68% (319/468) Resolving deltas: 69% (323/468) Resolving deltas: 70% (328/468) Resolving deltas: 71% (335/468) Resolving deltas: 72% (337/468) Resolving deltas: 73% (342/468) Resolving deltas: 74% (347/468) Resolving deltas: 75% (352/468) Resolving deltas: 76% (356/468) Resolving deltas: 77% (361/468) Resolving deltas: 78% (367/468) Resolving deltas: 79% (370/468) Resolving deltas: 80% (378/468) Resolving deltas: 81% (380/468) Resolving deltas: 82% (384/468) Resolving deltas: 83% (391/468) Resolving deltas: 84% (394/468) Resolving deltas: 85% (398/468) Resolving deltas: 86% (403/468) Resolving deltas: 87% (408/468) Resolving deltas: 88% (413/468) Resolving deltas: 89% (417/468) Resolving deltas: 90% (423/468) Resolving deltas: 91% (426/468) Resolving deltas: 92% (434/468) Resolving deltas: 93% (436/468) Resolving deltas: 94% (440/468) Resolving deltas: 95% (446/468) Resolving deltas: 96% (452/468) 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. 33.57 s From https://github.com/alphal00p/momtrop
  23. 33.57 s * [new branch] criterion-dev-dependency -> criterion-dev-dependency
  24. 33.57 s * [new branch] float_refactor -> float_refactor
  25. 33.57 s * [new branch] logger_feature -> logger_feature
  26. 33.57 s * [new branch] main -> main
  27. 33.57 s * [new branch] pyo3 -> pyo3
  28. 33.57 s * [new branch] sympol -> sympol
  29. 33.57 s * [new branch] test_branch -> test_branch
  30. 33.57 s * [new ref] refs/pull/1/head -> refs/pull/1/head
  31. 33.57 s * [new ref] refs/pull/2/head -> refs/pull/2/head
  32. 33.57 s * [new ref] refs/pull/3/head -> refs/pull/3/head
  33. 33.57 s * [new ref] refs/pull/4/head -> refs/pull/4/head
  34. 33.57 s * [new tag] v0.2.0 -> v0.2.0
  35. 33.57 s * [new tag] v0.2.1 -> v0.2.1
  36. 33.57 s * [new tag] v0.3.0 -> v0.3.0
  37. 42.63 s {"attrPath":["checks","x86_64-linux","alphal00p-docs"],"drvPath":"/nix/store/ahpvczma4a06csfskx12ld9v4rn54xyl-alphal00p-docs-check.drv","isCached":false,"type":"job"}
  38. 42.93 s {"attrPath":["checks","x86_64-linux","alphal00p-docs-watch"],"drvPath":"/nix/store/16w2czni1pabmgf3052l4k22d7km211v-alphal00p-docs-watch-0.1.0.drv","isCached":false,"type":"job"}
  39. 43.63 s {"attrPath":["checks","x86_64-linux","gammaloop-check"],"drvPath":"/nix/store/mdbwbck270q9hkav0vn8h62jill6i81n-gammaloop-workspace-check-0.1.0.drv","isCached":false,"type":"job"}
  40. 43.64 s {"attrPath":["checks","x86_64-linux","gammaloop-clippy"],"drvPath":"/nix/store/q4982pvldrkirlxc4p1y3lvf3jg8kx4v-gammaloop-workspace-clippy-0.1.0.drv","isCached":true,"type":"job"}
  41. 43.88 s {"attrPath":["checks","x86_64-linux","gammaloop-doc"],"drvPath":"/nix/store/3g3s972azcr197hs65zbf8iignkn2g4g-gammaloop-workspace-doc-0.1.0.drv","isCached":false,"type":"job"}
  42. 44.12 s {"attrPath":["checks","x86_64-linux","gammaloop-doctest"],"drvPath":"/nix/store/kqx9q0qmmz5cqg1qj58v6p0vr67n4wzr-gammaloop-workspace-doctest-0.1.0.drv","isCached":false,"type":"job"}
  43. 44.39 s {"attrPath":["checks","x86_64-linux","gammaloop-fmt"],"drvPath":"/nix/store/9dw3p5xf84bfj8vli4wc776485cs99cw-gammaloop-workspace-fmt-0.1.0.drv","isCached":true,"type":"job"}
  44. 44.59 s {"attrPath":["checks","x86_64-linux","gammaloop-guppy-workspace-graph"],"drvPath":"/nix/store/k1k2lgvg4027cqnn3r8b0x3mh6i35bb7-gammaloop-guppy-workspace-graph-check.drv","isCached":true,"type":"job"}
  45. 44.88 s unpacking 'github:alphal00p/gammaloop/9935a2b52d047daf5bbe6616c798fa07e364da6a?narHash=sha256-cWleUrCGGmboOPaL4vxbG7E7P8frOaMto3hhed4EP5U%3D' into the Git cache...
  46. 49.41 s {"attrPath":["checks","x86_64-linux","gammaloop"],"drvPath":"/nix/store/x7v0jzv6y2iwgdq4fb3s1knsqcdhn2xv-gammaloop-api-0.1.0.drv","isCached":true,"type":"job"}
  47. 62.85 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries"],"drvPath":"/nix/store/ql0xnkdihxiw6693mqbpxhaxsw9g5fm6-gammaloop-nextest-binaries.drv","isCached":false,"type":"job"}
  48. 62.86 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-clinnet"],"drvPath":"/nix/store/i3vy3zr9ni6d04l2n5nz40w7l21di2gw-gammaloop-nextest-binaries-clinnet.drv","isCached":true,"type":"job"}
  49. 62.86 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-core"],"drvPath":"/nix/store/dh3992inbxwsfd0kg2r0vyqi375clhx6-gammaloop-nextest-binaries-core.drv","isCached":true,"type":"job"}
  50. 62.87 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-docs"],"drvPath":"/nix/store/1j7vxmsyzv9lqb65ks1xsh7sjkxxbyvy-gammaloop-nextest-binaries-docs.drv","isCached":true,"type":"job"}
  51. 62.87 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-integration"],"drvPath":"/nix/store/h5c945m9nn3q07w58w195idfzm8aqfj9-gammaloop-nextest-binaries-integration.drv","isCached":true,"type":"job"}
  52. 62.88 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-linnet"],"drvPath":"/nix/store/34v0j32vgp8y7dgigmjf6wjnd4j0ag3n-gammaloop-nextest-binaries-linnet.drv","isCached":true,"type":"job"}
  53. 62.88 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-python-api"],"drvPath":"/nix/store/68dvdx9csvg94n2cg1vjdv6xnvimw70d-gammaloop-nextest-binaries-python-api.drv","isCached":true,"type":"job"}
  54. 62.89 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-spenso"],"drvPath":"/nix/store/6r65hwg2pq5n245q951hxg11n1ga8xpk-gammaloop-nextest-binaries-spenso.drv","isCached":true,"type":"job"}
  55. 62.89 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-vakint"],"drvPath":"/nix/store/9h30fx8ljkyicmr0y3zgvj0m4pcdl6xn-gammaloop-nextest-binaries-vakint.drv","isCached":true,"type":"job"}
  56. 64.18 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest"],"drvPath":"/nix/store/w9b88w6fvagyi3ib3hgzvm466hkh8m9l-gammaloop-nextest.drv","isCached":false,"type":"job"}
  57. 64.43 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-core"],"drvPath":"/nix/store/hj3d6g4az41bqxhx7l79nf17aav9fynk-gammaloop-nextest-core.drv","isCached":false,"type":"job"}
  58. 64.67 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-docs"],"drvPath":"/nix/store/68kz7xghfjinbn3sh245yc6sd4nvlkar-gammaloop-nextest-docs.drv","isCached":false,"type":"job"}
  59. 64.92 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-integration"],"drvPath":"/nix/store/jqdmv89k4bhk4bjnyyrxxk6gc20pif59-gammaloop-nextest-integration.drv","isCached":false,"type":"job"}
  60. 64.96 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-clinnet"],"drvPath":"/nix/store/n66nxn4gxlspa25xlrwp8sfhs4dczcqf-gammaloop-nextest-clinnet.drv","isCached":false,"type":"job"}
  61. 65.14 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-linnet"],"drvPath":"/nix/store/nzf211p7fg4bbni21cwd3g9nn0s6x15c-gammaloop-nextest-linnet.drv","isCached":false,"type":"job"}
  62. 65.39 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-spenso"],"drvPath":"/nix/store/dkv0dyxw012igl078ah2n94352l1ard5-gammaloop-nextest-spenso.drv","isCached":false,"type":"job"}
  63. 65.69 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-vakint"],"drvPath":"/nix/store/dql4ijlw01759mizc3fgxlwq1fryw5yy-gammaloop-nextest-vakint.drv","isCached":false,"type":"job"}
  64. 66.09 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-python-api"],"drvPath":"/nix/store/gs50731kmp172fals893f30adb971jxs-gammaloop-nextest-python-api.drv","isCached":false,"type":"job"}
  65. 66.27 s {"attrPath":["checks","x86_64-linux","linnest-wasm"],"drvPath":"/nix/store/l52n63kkpjsrd7c15jyav73n7qb3c7kh-linnest-wasm-check.drv","isCached":false,"type":"job"}
  66. 67.61 s {"attrPath":["devShells","x86_64-linux","default"],"drvPath":"/nix/store/ryxqfrxdxhr1hpnzdakjimfj8yhha716-nix-shell.drv","isCached":false,"type":"job"}
  67. 67.72 s {"attrPath":["devShells","x86_64-linux","clinnet"],"drvPath":"/nix/store/ryxqfrxdxhr1hpnzdakjimfj8yhha716-nix-shell.drv","isCached":false,"type":"job"}
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  439. 79.08 s Discovered 164 buildables.
  440. 79.08 s Some of these were already built successfully before; we will skip those builds.
  441. 79.08 s Job discovery completed.
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