evaluate x86_64-linux

Reproduce this run
  1. 0.00 s $ /nix/store/9ypz3flqsrl5xl495mm8h645gadjsxi1-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=codex%2Fdocs-manuals&rev=fa8ed9a02ca7dff8db2b623fcf9163af3051b0df --system x86_64-linux --no-dependencies
  2. 0.79 s remote: Enumerating objects: 2091, done.
  3. 0.90 s remote: Counting objects: 0% (1/2091) remote: Counting objects: 1% (21/2091) remote: Counting objects: 2% (42/2091) remote: Counting objects: 3% (63/2091) remote: Counting objects: 4% (84/2091) remote: Counting objects: 5% (105/2091) remote: Counting objects: 6% (126/2091) remote: Counting objects: 7% (147/2091) remote: Counting objects: 8% (168/2091) remote: Counting objects: 9% (189/2091) remote: Counting objects: 10% (210/2091) remote: Counting objects: 11% (231/2091) remote: Counting objects: 12% (251/2091) remote: Counting objects: 13% (272/2091) remote: Counting objects: 14% (293/2091) remote: Counting objects: 15% (314/2091) remote: Counting objects: 16% (335/2091) remote: Counting objects: 17% (356/2091) remote: Counting objects: 18% (377/2091) remote: Counting objects: 19% (398/2091) remote: Counting objects: 20% (419/2091) remote: Counting objects: 21% (440/2091) remote: Counting objects: 22% (461/2091) remote: Counting objects: 23% (481/2091) remote: Counting objects: 24% (502/2091) remote: Counting objects: 25% (523/2091) remote: Counting objects: 26% (544/2091) remote: Counting objects: 27% (565/2091) remote: Counting objects: 28% (586/2091) remote: Counting objects: 29% (607/2091) remote: Counting objects: 30% (628/2091) remote: Counting objects: 31% (649/2091) remote: Counting objects: 32% (670/2091) remote: Counting objects: 33% (691/2091) remote: Counting objects: 34% (711/2091) remote: Counting objects: 35% (732/2091) remote: Counting objects: 36% (753/2091) remote: Counting objects: 37% (774/2091) remote: Counting objects: 38% (795/2091) remote: Counting objects: 39% (816/2091) remote: Counting objects: 40% (837/2091) remote: Counting objects: 41% (858/2091) remote: Counting objects: 42% (879/2091) remote: Counting objects: 43% (900/2091) remote: Counting objects: 44% (921/2091) remote: Counting objects: 45% (941/2091) remote: Counting objects: 46% (962/2091) remote: Counting objects: 47% (983/2091) remote: Counting objects: 48% (1004/2091) remote: Counting objects: 49% (1025/2091) remote: Counting objects: 50% (1046/2091) remote: Counting objects: 51% (1067/2091) remote: Counting objects: 52% (1088/2091) remote: Counting objects: 53% (1109/2091) remote: Counting objects: 54% (1130/2091) remote: Counting objects: 55% (1151/2091) remote: Counting objects: 56% (1171/2091) remote: Counting objects: 57% (1192/2091) remote: Counting objects: 58% (1213/2091) remote: Counting objects: 59% (1234/2091) remote: Counting objects: 60% (1255/2091) remote: Counting objects: 61% (1276/2091) remote: Counting objects: 62% (1297/2091) remote: Counting objects: 63% (1318/2091) remote: Counting objects: 64% (1339/2091) remote: Counting objects: 65% (1360/2091) remote: Counting objects: 66% (1381/2091) remote: Counting objects: 67% (1401/2091) remote: Counting objects: 68% (1422/2091) remote: Counting objects: 69% (1443/2091) remote: Counting objects: 70% (1464/2091) remote: Counting objects: 71% (1485/2091) remote: Counting objects: 72% (1506/2091) remote: Counting objects: 73% (1527/2091) remote: Counting objects: 74% (1548/2091) remote: Counting objects: 75% (1569/2091) remote: Counting objects: 76% (1590/2091) remote: Counting objects: 77% (1611/2091) remote: Counting objects: 78% (1631/2091) remote: Counting objects: 79% (1652/2091) remote: Counting objects: 80% (1673/2091) remote: Counting objects: 81% (1694/2091) remote: Counting objects: 82% (1715/2091) remote: Counting objects: 83% (1736/2091) remote: Counting objects: 84% (1757/2091) remote: Counting objects: 85% (1778/2091) remote: Counting objects: 86% (1799/2091) remote: Counting objects: 87% (1820/2091) remote: Counting objects: 88% (1841/2091) remote: Counting objects: 89% (1861/2091) remote: Counting objects: 90% (1882/2091) remote: Counting objects: 91% (1903/2091) remote: Counting objects: 92% (1924/2091) remote: Counting objects: 93% (1945/2091) remote: Counting objects: 94% (1966/2091) remote: Counting objects: 95% (1987/2091) remote: Counting objects: 96% (2008/2091) remote: Counting objects: 97% (2029/2091) remote: Counting objects: 98% (2050/2091) remote: Counting objects: 99% (2071/2091) remote: Counting objects: 100% (2091/2091) remote: Counting objects: 100% (2091/2091), done.
  4. 1.61 s remote: Compressing objects: 0% (1/1229) remote: Compressing objects: 1% (13/1229) remote: Compressing objects: 2% (25/1229) remote: Compressing objects: 3% (37/1229) remote: Compressing objects: 4% (50/1229) remote: Compressing objects: 5% (62/1229) remote: Compressing objects: 6% (74/1229) remote: Compressing objects: 7% (87/1229) remote: Compressing objects: 8% (99/1229) remote: Compressing objects: 9% (111/1229) remote: Compressing objects: 10% (123/1229) remote: Compressing objects: 11% (136/1229) remote: Compressing objects: 12% (148/1229) remote: Compressing objects: 13% (160/1229) remote: Compressing objects: 14% (173/1229) remote: Compressing objects: 15% (185/1229) remote: Compressing objects: 16% (197/1229) remote: Compressing objects: 17% (209/1229) remote: Compressing objects: 18% (222/1229) remote: Compressing objects: 19% (234/1229) remote: Compressing objects: 20% (246/1229) remote: Compressing objects: 21% (259/1229) remote: Compressing objects: 22% (271/1229) remote: Compressing objects: 23% (283/1229) remote: Compressing objects: 24% (295/1229) remote: Compressing objects: 25% (308/1229) remote: Compressing objects: 26% (320/1229) remote: Compressing objects: 27% (332/1229) remote: Compressing objects: 28% (345/1229) remote: Compressing objects: 29% (357/1229) remote: Compressing objects: 30% (369/1229) remote: Compressing objects: 31% (381/1229) remote: Compressing objects: 32% (394/1229) remote: Compressing objects: 33% (406/1229) remote: Compressing objects: 34% (418/1229) remote: Compressing objects: 35% (431/1229) remote: Compressing objects: 36% (443/1229) remote: Compressing objects: 37% (455/1229) remote: Compressing objects: 38% (468/1229) remote: Compressing objects: 39% (480/1229) remote: Compressing objects: 40% (492/1229) remote: Compressing objects: 41% (504/1229) remote: Compressing objects: 42% (517/1229) remote: Compressing objects: 43% (529/1229) remote: Compressing objects: 44% (541/1229) remote: Compressing objects: 45% (554/1229) remote: Compressing objects: 46% (566/1229) remote: Compressing objects: 47% (578/1229) remote: Compressing objects: 48% (590/1229) remote: Compressing objects: 49% (603/1229) remote: Compressing objects: 50% (615/1229) remote: Compressing objects: 51% (627/1229) remote: Compressing objects: 52% (640/1229) remote: Compressing objects: 53% (652/1229) remote: Compressing objects: 54% (664/1229) remote: Compressing objects: 55% (676/1229) remote: Compressing objects: 56% (689/1229) remote: Compressing objects: 57% (701/1229) remote: Compressing objects: 58% (713/1229) remote: Compressing objects: 59% (726/1229) remote: Compressing objects: 60% (738/1229) remote: Compressing objects: 61% (750/1229) remote: Compressing objects: 62% (762/1229) remote: Compressing objects: 63% (775/1229) remote: Compressing objects: 64% (787/1229) remote: Compressing objects: 65% (799/1229) remote: Compressing objects: 66% (812/1229) remote: Compressing objects: 67% (824/1229) remote: Compressing objects: 68% (836/1229) remote: Compressing objects: 69% (849/1229) remote: Compressing objects: 70% (861/1229) remote: Compressing objects: 71% (873/1229) remote: Compressing objects: 72% (885/1229) remote: Compressing objects: 73% (898/1229) remote: Compressing objects: 74% (910/1229) remote: Compressing objects: 75% (922/1229) remote: Compressing objects: 76% (935/1229) remote: Compressing objects: 77% (947/1229) remote: Compressing objects: 78% (959/1229) remote: Compressing objects: 79% (971/1229) remote: Compressing objects: 80% (984/1229) remote: Compressing objects: 81% (996/1229) remote: Compressing objects: 82% (1008/1229) remote: Compressing objects: 83% (1021/1229) remote: Compressing objects: 84% (1033/1229) remote: Compressing objects: 85% (1045/1229) remote: Compressing objects: 86% (1057/1229) remote: Compressing objects: 87% (1070/1229) remote: Compressing objects: 88% (1082/1229) remote: Compressing objects: 89% (1094/1229) remote: Compressing objects: 90% (1107/1229) remote: Compressing objects: 91% (1119/1229) remote: Compressing objects: 92% (1131/1229) remote: Compressing objects: 93% (1143/1229) remote: Compressing objects: 94% (1156/1229) remote: Compressing objects: 95% (1168/1229) remote: Compressing objects: 96% (1180/1229) remote: Compressing objects: 97% (1193/1229) remote: Compressing objects: 98% (1205/1229) remote: Compressing objects: 99% (1217/1229) remote: Compressing objects: 100% (1229/1229) remote: Compressing objects: 100% (1229/1229), done.
  5. 2.27 s Receiving objects: 0% (1/2091) Receiving objects: 1% (21/2091) Receiving objects: 2% (42/2091) Receiving objects: 3% (63/2091) Receiving objects: 4% (84/2091) Receiving objects: 5% (105/2091) Receiving objects: 6% (126/2091) Receiving objects: 7% (147/2091) Receiving objects: 8% (168/2091) Receiving objects: 9% (189/2091) Receiving objects: 10% (210/2091) Receiving objects: 11% (231/2091) Receiving objects: 12% (251/2091) Receiving objects: 13% (272/2091) Receiving objects: 14% (293/2091) Receiving objects: 15% (314/2091) Receiving objects: 16% (335/2091) Receiving objects: 17% (356/2091) Receiving objects: 18% (377/2091) Receiving objects: 19% (398/2091) Receiving objects: 20% (419/2091) Receiving objects: 21% (440/2091) Receiving objects: 22% (461/2091) Receiving objects: 23% (481/2091) Receiving objects: 24% (502/2091) Receiving objects: 25% (523/2091) Receiving objects: 26% (544/2091) Receiving objects: 27% (565/2091) Receiving objects: 28% (586/2091) Receiving objects: 29% (607/2091) Receiving objects: 30% (628/2091) Receiving objects: 31% (649/2091) Receiving objects: 32% (670/2091) Receiving objects: 33% (691/2091) Receiving objects: 34% (711/2091) Receiving objects: 35% (732/2091) Receiving objects: 36% (753/2091) Receiving objects: 37% (774/2091) Receiving objects: 38% (795/2091) Receiving objects: 39% (816/2091) Receiving objects: 40% (837/2091) Receiving objects: 41% (858/2091) Receiving objects: 42% (879/2091) Receiving objects: 43% (900/2091) Receiving objects: 44% (921/2091) Receiving objects: 45% (941/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 46% (962/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 47% (983/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 48% (1004/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 49% (1025/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 50% (1046/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 51% (1067/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 52% (1088/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 53% (1109/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 54% (1130/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 55% (1151/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 56% (1171/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 57% (1192/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 58% (1213/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 59% (1234/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 60% (1255/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 61% (1276/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 62% (1297/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 63% (1318/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 64% (1339/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 65% (1360/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 66% (1381/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 67% (1401/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 68% (1422/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 69% (1443/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 70% (1464/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 71% (1485/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 72% (1506/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 73% (1527/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 74% (1548/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 75% (1569/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 76% (1590/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 77% (1611/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 78% (1631/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 79% (1652/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 80% (1673/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 81% (1694/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 82% (1715/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 83% (1736/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 84% (1757/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 85% (1778/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 86% (1799/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 87% (1820/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 88% (1841/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 89% (1861/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 90% (1882/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 91% (1903/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 92% (1924/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 93% (1945/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 94% (1966/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 95% (1987/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 96% (2008/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 97% (2029/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 98% (2050/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 99% (2071/2091), 9.40 MiB | 18.83 MiB/s remote: Total 2091 (delta 886), reused 1412 (delta 790), pack-reused 0 (from 0)
  6. 2.27 s Receiving objects: 100% (2091/2091), 9.40 MiB | 18.83 MiB/s Receiving objects: 100% (2091/2091), 14.58 MiB | 22.18 MiB/s, done.
  7. 2.28 s Resolving deltas: 0% (0/886) Resolving deltas: 1% (11/886) Resolving deltas: 2% (20/886) Resolving deltas: 3% (28/886) Resolving deltas: 4% (36/886) Resolving deltas: 5% (45/886) Resolving deltas: 6% (57/886) Resolving deltas: 7% (63/886) Resolving deltas: 8% (71/886) Resolving deltas: 9% (80/886) Resolving deltas: 10% (89/886) Resolving deltas: 11% (98/886) Resolving deltas: 12% (107/886) Resolving deltas: 13% (116/886) Resolving deltas: 14% (125/886) Resolving deltas: 15% (133/886) Resolving deltas: 16% (142/886) Resolving deltas: 17% (151/886) Resolving deltas: 18% (160/886) Resolving deltas: 19% (169/886) Resolving deltas: 20% (178/886) Resolving deltas: 21% (187/886) Resolving deltas: 22% (195/886) Resolving deltas: 23% (204/886) Resolving deltas: 24% (213/886) Resolving deltas: 25% (222/886) Resolving deltas: 26% (231/886) Resolving deltas: 27% (240/886) Resolving deltas: 28% (249/886) Resolving deltas: 29% (257/886) Resolving deltas: 30% (266/886) Resolving deltas: 31% (275/886) Resolving deltas: 32% (284/886) Resolving deltas: 33% (293/886) Resolving deltas: 34% (302/886) Resolving deltas: 35% (311/886) Resolving deltas: 36% (319/886) Resolving deltas: 37% (328/886) Resolving deltas: 38% (338/886) Resolving deltas: 39% (346/886) Resolving deltas: 40% (355/886) Resolving deltas: 41% (364/886) Resolving deltas: 42% (373/886) Resolving deltas: 43% (381/886) Resolving deltas: 44% (390/886) Resolving deltas: 45% (399/886) Resolving deltas: 46% (408/886) Resolving deltas: 47% (417/886) Resolving deltas: 48% (426/886) Resolving deltas: 49% (435/886) Resolving deltas: 50% (443/886) Resolving deltas: 51% (452/886) Resolving deltas: 52% (461/886) Resolving deltas: 53% (470/886) Resolving deltas: 54% (479/886) Resolving deltas: 55% (488/886) Resolving deltas: 56% (497/886) Resolving deltas: 57% (506/886) Resolving deltas: 58% (514/886) Resolving deltas: 59% (523/886) Resolving deltas: 60% (532/886) Resolving deltas: 61% (541/886) Resolving deltas: 62% (550/886) Resolving deltas: 63% (559/886) Resolving deltas: 64% (568/886) Resolving deltas: 65% (576/886) Resolving deltas: 66% (585/886) Resolving deltas: 67% (595/886) Resolving deltas: 68% (604/886) Resolving deltas: 69% (612/886) Resolving deltas: 70% (621/886) Resolving deltas: 71% (631/886) Resolving deltas: 72% (638/886) Resolving deltas: 73% (647/886) Resolving deltas: 74% (656/886) Resolving deltas: 75% (665/886) Resolving deltas: 76% (674/886) Resolving deltas: 77% (683/886) Resolving deltas: 78% (692/886) Resolving deltas: 79% (703/886) Resolving deltas: 80% (710/886) Resolving deltas: 81% (718/886) Resolving deltas: 82% (728/886) Resolving deltas: 83% (736/886) Resolving deltas: 84% (745/886) Resolving deltas: 85% (754/886) Resolving deltas: 86% (762/886) Resolving deltas: 87% (771/886) Resolving deltas: 88% (780/886) Resolving deltas: 89% (789/886) Resolving deltas: 90% (798/886) Resolving deltas: 91% (807/886) Resolving deltas: 92% (817/886) Resolving deltas: 93% (828/886) Resolving deltas: 94% (833/886) Resolving deltas: 95% (843/886) Resolving deltas: 96% (852/886) Resolving deltas: 97% (861/886) Resolving deltas: 98% (869/886) Resolving deltas: 99% (878/886) Resolving deltas: 100% (886/886) Resolving deltas: 100% (886/886), done.
  8. 2.34 s From https://github.com/alphal00p/gammaloop
  9. 2.34 s * branch fa8ed9a02ca7dff8db2b623fcf9163af3051b0df -> FETCH_HEAD
  10. 3.03 s copying path '/nix/store/51z7p4g46ybpi81ipn10c9fs2i0vvqs3-source' from 'https://cache.nix-ci.com'...
  11. 11.60 s unpacking 'github:ipetkov/crane/80db5bdc391be8a1794f6d8a2d56e3a84ebcede2?narHash=sha256-G6R9IT/xwFuu%2BCYBWDUAok6AdC4ERC4ZfPPFtEpxnZE%3D' into the Git cache...
  12. 15.40 s unpacking 'github:nix-community/fenix/8d20dd64ad45ed4b5179a37cec75fff9f732e78d?narHash=sha256-5JD6IDeOxt%2B7GF0UP7M1ttZ1SyCSzXcgaKU5OEoqPk0%3D' into the Git cache...
  13. 17.81 s remote: Enumerating objects: 11150, done.
  14. 18.00 s remote: Counting objects: 0% (1/451) remote: Counting objects: 1% (5/451) remote: Counting objects: 2% (10/451) remote: Counting objects: 3% (14/451) remote: Counting objects: 4% (19/451) remote: Counting objects: 5% (23/451) remote: Counting objects: 6% (28/451) remote: Counting objects: 7% (32/451) remote: Counting objects: 8% (37/451) remote: Counting objects: 9% (41/451) remote: Counting objects: 10% (46/451) remote: Counting objects: 11% (50/451) remote: Counting objects: 12% (55/451) remote: Counting objects: 13% (59/451) remote: Counting objects: 14% (64/451) remote: Counting objects: 15% (68/451) remote: Counting objects: 16% (73/451) remote: Counting objects: 17% (77/451) remote: Counting objects: 18% (82/451) remote: Counting objects: 19% (86/451) remote: Counting objects: 20% (91/451) remote: Counting objects: 21% (95/451) remote: Counting objects: 22% (100/451) remote: Counting objects: 23% (104/451) remote: Counting objects: 24% (109/451) remote: Counting objects: 25% (113/451) remote: Counting objects: 26% (118/451) remote: Counting objects: 27% (122/451) remote: Counting objects: 28% (127/451) remote: Counting objects: 29% (131/451) remote: Counting objects: 30% (136/451) remote: Counting objects: 31% (140/451) remote: Counting objects: 32% (145/451) remote: Counting objects: 33% (149/451) remote: Counting objects: 34% (154/451) remote: Counting objects: 35% (158/451) remote: Counting objects: 36% (163/451) remote: Counting objects: 37% (167/451) remote: Counting objects: 38% (172/451) remote: Counting objects: 39% (176/451) remote: Counting objects: 40% (181/451) remote: Counting objects: 41% (185/451) remote: Counting objects: 42% (190/451) remote: Counting objects: 43% (194/451) remote: Counting objects: 44% (199/451) remote: Counting objects: 45% (203/451) remote: Counting objects: 46% (208/451) remote: Counting objects: 47% (212/451) remote: Counting objects: 48% (217/451) remote: Counting objects: 49% (221/451) remote: Counting objects: 50% (226/451) remote: Counting objects: 51% (231/451) remote: Counting objects: 52% (235/451) remote: Counting objects: 53% (240/451) remote: Counting objects: 54% (244/451) remote: Counting objects: 55% (249/451) remote: Counting objects: 56% (253/451) remote: Counting objects: 57% (258/451) remote: Counting objects: 58% (262/451) remote: Counting objects: 59% (267/451) remote: Counting objects: 60% (271/451) remote: Counting objects: 61% (276/451) remote: Counting objects: 62% (280/451) remote: Counting objects: 63% (285/451) remote: Counting objects: 64% (289/451) remote: Counting objects: 65% (294/451) remote: Counting objects: 66% (298/451) remote: Counting objects: 67% (303/451) remote: Counting objects: 68% (307/451) remote: Counting objects: 69% (312/451) remote: Counting objects: 70% (316/451) remote: Counting objects: 71% (321/451) remote: Counting objects: 72% (325/451) remote: Counting objects: 73% (330/451) remote: Counting objects: 74% (334/451) remote: Counting objects: 75% (339/451) remote: Counting objects: 76% (343/451) remote: Counting objects: 77% (348/451) remote: Counting objects: 78% (352/451) remote: Counting objects: 79% (357/451) remote: Counting objects: 80% (361/451) remote: Counting objects: 81% (366/451) remote: Counting objects: 82% (370/451) remote: Counting objects: 83% (375/451) remote: Counting objects: 84% (379/451) remote: Counting objects: 85% (384/451) remote: Counting objects: 86% (388/451) remote: Counting objects: 87% (393/451) remote: Counting objects: 88% (397/451) remote: Counting objects: 89% (402/451) remote: Counting objects: 90% (406/451) remote: Counting objects: 91% (411/451) remote: Counting objects: 92% (415/451) remote: Counting objects: 93% (420/451) remote: Counting objects: 94% (424/451) remote: Counting objects: 95% (429/451) remote: Counting objects: 96% (433/451) remote: Counting objects: 97% (438/451) remote: Counting objects: 98% (442/451) remote: Counting objects: 99% (447/451) remote: Counting objects: 100% (451/451) remote: Counting objects: 100% (451/451), done.
  15. 18.00 s remote: Compressing objects: 1% (1/68) remote: Compressing objects: 2% (2/68) remote: Compressing objects: 4% (3/68) remote: Compressing objects: 5% (4/68) remote: Compressing objects: 7% (5/68) remote: Compressing objects: 8% (6/68) remote: Compressing objects: 10% (7/68) remote: Compressing objects: 11% (8/68) remote: Compressing objects: 13% (9/68) remote: Compressing objects: 14% (10/68) remote: Compressing objects: 16% (11/68) remote: Compressing objects: 17% (12/68) remote: Compressing objects: 19% (13/68) remote: Compressing objects: 20% (14/68) remote: Compressing objects: 22% (15/68) remote: Compressing objects: 23% (16/68) remote: Compressing objects: 25% (17/68) remote: Compressing objects: 26% (18/68) remote: Compressing objects: 27% (19/68) remote: Compressing objects: 29% (20/68) remote: Compressing objects: 30% (21/68) remote: Compressing objects: 32% (22/68) remote: Compressing objects: 33% (23/68) remote: Compressing objects: 35% (24/68) remote: Compressing objects: 36% (25/68) remote: Compressing objects: 38% (26/68) remote: Compressing objects: 39% (27/68) remote: Compressing objects: 41% (28/68) remote: Compressing objects: 42% (29/68) remote: Compressing objects: 44% (30/68) remote: Compressing objects: 45% (31/68) remote: Compressing objects: 47% (32/68) remote: Compressing objects: 48% (33/68) remote: Compressing objects: 50% (34/68) remote: Compressing objects: 51% (35/68) remote: Compressing objects: 52% (36/68) remote: Compressing objects: 54% (37/68) remote: Compressing objects: 55% (38/68) remote: Compressing objects: 57% (39/68) remote: Compressing objects: 58% (40/68) remote: Compressing objects: 60% (41/68) remote: Compressing objects: 61% (42/68) remote: Compressing objects: 63% (43/68) remote: Compressing objects: 64% (44/68) remote: Compressing objects: 66% (45/68) remote: Compressing objects: 67% (46/68) remote: Compressing objects: 69% (47/68) remote: Compressing objects: 70% (48/68) remote: Compressing objects: 72% (49/68) remote: Compressing objects: 73% (50/68) remote: Compressing objects: 75% (51/68) remote: Compressing objects: 76% (52/68) remote: Compressing objects: 77% (53/68) remote: Compressing objects: 79% (54/68) remote: Compressing objects: 80% (55/68) remote: Compressing objects: 82% (56/68) remote: Compressing objects: 83% (57/68) remote: Compressing objects: 85% (58/68) remote: Compressing objects: 86% (59/68) remote: Compressing objects: 88% (60/68) remote: Compressing objects: 89% (61/68) remote: Compressing objects: 91% (62/68) remote: Compressing objects: 92% (63/68) remote: Compressing objects: 94% (64/68) remote: Compressing objects: 95% (65/68) remote: Compressing objects: 97% (66/68) remote: Compressing objects: 98% (67/68) remote: Compressing objects: 100% (68/68) remote: Compressing objects: 100% (68/68), done.
  16. 18.16 s Receiving objects: 0% (1/11150) Receiving objects: 1% (112/11150) Receiving objects: 2% (223/11150) Receiving objects: 3% (335/11150) Receiving objects: 4% (446/11150) Receiving objects: 5% (558/11150) Receiving objects: 6% (669/11150) Receiving objects: 7% (781/11150) Receiving objects: 8% (892/11150) Receiving objects: 9% (1004/11150) Receiving objects: 10% (1115/11150) Receiving objects: 11% (1227/11150) Receiving objects: 12% (1338/11150) Receiving objects: 13% (1450/11150) Receiving objects: 14% (1561/11150) Receiving objects: 15% (1673/11150) Receiving objects: 16% (1784/11150) Receiving objects: 17% (1896/11150) Receiving objects: 18% (2007/11150) Receiving objects: 19% (2119/11150) Receiving objects: 20% (2230/11150) Receiving objects: 21% (2342/11150) Receiving objects: 22% (2453/11150) Receiving objects: 23% (2565/11150) Receiving objects: 24% (2676/11150) Receiving objects: 25% (2788/11150) Receiving objects: 26% (2899/11150) Receiving objects: 27% (3011/11150) Receiving objects: 28% (3122/11150) Receiving objects: 29% (3234/11150) Receiving objects: 30% (3345/11150) Receiving objects: 31% (3457/11150) Receiving objects: 32% (3568/11150) Receiving objects: 33% (3680/11150) Receiving objects: 34% (3791/11150) Receiving objects: 35% (3903/11150) Receiving objects: 36% (4014/11150) Receiving objects: 37% (4126/11150) Receiving objects: 38% (4237/11150) Receiving objects: 39% (4349/11150) Receiving objects: 40% (4460/11150) Receiving objects: 41% (4572/11150) Receiving objects: 42% (4683/11150) Receiving objects: 43% (4795/11150) Receiving objects: 44% (4906/11150) Receiving objects: 45% (5018/11150) Receiving objects: 46% (5129/11150) Receiving objects: 47% (5241/11150) Receiving objects: 48% (5352/11150) Receiving objects: 49% (5464/11150) Receiving objects: 50% (5575/11150) Receiving objects: 51% (5687/11150) Receiving objects: 52% (5798/11150) Receiving objects: 53% (5910/11150) Receiving objects: 54% (6021/11150) Receiving objects: 55% (6133/11150) Receiving objects: 56% (6244/11150) Receiving objects: 57% (6356/11150) Receiving objects: 58% (6467/11150) Receiving objects: 59% (6579/11150) Receiving objects: 60% (6690/11150) Receiving objects: 61% (6802/11150) Receiving objects: 62% (6913/11150) Receiving objects: 63% (7025/11150) Receiving objects: 64% (7136/11150) Receiving objects: 65% (7248/11150) Receiving objects: 66% (7359/11150) Receiving objects: 67% (7471/11150) Receiving objects: 68% (7582/11150) Receiving objects: 69% (7694/11150) Receiving objects: 70% (7805/11150) Receiving objects: 71% (7917/11150) Receiving objects: 72% (8028/11150) Receiving objects: 73% (8140/11150) Receiving objects: 74% (8251/11150) Receiving objects: 75% (8363/11150) Receiving objects: 76% (8474/11150) Receiving objects: 77% (8586/11150) Receiving objects: 78% (8697/11150) Receiving objects: 79% (8809/11150) Receiving objects: 80% (8920/11150) Receiving objects: 81% (9032/11150) Receiving objects: 82% (9143/11150) Receiving objects: 83% (9255/11150) Receiving objects: 84% (9366/11150) Receiving objects: 85% (9478/11150) Receiving objects: 86% (9589/11150) Receiving objects: 87% (9701/11150) Receiving objects: 88% (9812/11150) Receiving objects: 89% (9924/11150) Receiving objects: 90% (10035/11150) Receiving objects: 91% (10147/11150) Receiving objects: 92% (10258/11150) Receiving objects: 93% (10370/11150) Receiving objects: 94% (10481/11150) Receiving objects: 95% (10593/11150) Receiving objects: 96% (10704/11150) Receiving objects: 97% (10816/11150) Receiving objects: 98% (10927/11150) Receiving objects: 99% (11039/11150) remote: Total 11150 (delta 413), reused 385 (delta 383), pack-reused 10699 (from 2)
  17. 18.16 s Receiving objects: 100% (11150/11150) Receiving objects: 100% (11150/11150), 6.49 MiB | 42.03 MiB/s, done.
  18. 18.35 s Resolving deltas: 0% (0/8721) Resolving deltas: 1% (88/8721) Resolving deltas: 2% (175/8721) Resolving deltas: 3% (262/8721) Resolving deltas: 4% (351/8721) Resolving deltas: 5% (437/8721) Resolving deltas: 6% (524/8721) Resolving deltas: 7% (611/8721) Resolving deltas: 8% (698/8721) Resolving deltas: 9% (785/8721) Resolving deltas: 10% (873/8721) Resolving deltas: 11% (960/8721) Resolving deltas: 12% (1047/8721) Resolving deltas: 13% (1134/8721) Resolving deltas: 14% (1221/8721) Resolving deltas: 15% (1309/8721) Resolving deltas: 16% (1396/8721) Resolving deltas: 17% (1483/8721) Resolving deltas: 18% (1571/8721) Resolving deltas: 19% (1657/8721) Resolving deltas: 20% (1745/8721) Resolving deltas: 21% (1832/8721) Resolving deltas: 22% (1920/8721) Resolving deltas: 23% (2006/8721) Resolving deltas: 24% (2094/8721) Resolving deltas: 25% (2181/8721) Resolving deltas: 26% (2268/8721) Resolving deltas: 27% (2355/8721) Resolving deltas: 28% (2442/8721) Resolving deltas: 29% (2530/8721) Resolving deltas: 30% (2618/8721) Resolving deltas: 31% (2704/8721) Resolving deltas: 32% (2791/8721) Resolving deltas: 33% (2878/8721) Resolving deltas: 34% (2966/8721) Resolving deltas: 35% (3053/8721) Resolving deltas: 36% (3140/8721) Resolving deltas: 37% (3227/8721) Resolving deltas: 38% (3314/8721) Resolving deltas: 39% (3402/8721) Resolving deltas: 40% (3489/8721) Resolving deltas: 41% (3579/8721) Resolving deltas: 42% (3663/8721) Resolving deltas: 43% (3751/8721) Resolving deltas: 44% (3838/8721) Resolving deltas: 45% (3925/8721) Resolving deltas: 46% (4012/8721) Resolving deltas: 47% (4099/8721) Resolving deltas: 48% (4187/8721) Resolving deltas: 49% (4274/8721) Resolving deltas: 50% (4361/8721) Resolving deltas: 51% (4448/8721) Resolving deltas: 52% (4536/8721) Resolving deltas: 53% (4624/8721) Resolving deltas: 54% (4710/8721) Resolving deltas: 55% (4797/8721) Resolving deltas: 56% (4884/8721) Resolving deltas: 57% (4972/8721) Resolving deltas: 58% (5059/8721) Resolving deltas: 59% (5148/8721) Resolving deltas: 60% (5233/8721) Resolving deltas: 61% (5320/8721) Resolving deltas: 62% (5408/8721) Resolving deltas: 63% (5495/8721) Resolving deltas: 64% (5582/8721) Resolving deltas: 65% (5669/8721) Resolving deltas: 66% (5756/8721) Resolving deltas: 67% (5844/8721) Resolving deltas: 68% (5931/8721) Resolving deltas: 69% (6020/8721) Resolving deltas: 70% (6105/8721) Resolving deltas: 71% (6192/8721) Resolving deltas: 72% (6281/8721) Resolving deltas: 73% (6369/8721) Resolving deltas: 74% (6454/8721) Resolving deltas: 75% (6541/8721) Resolving deltas: 76% (6628/8721) Resolving deltas: 77% (6717/8721) Resolving deltas: 78% (6803/8721) Resolving deltas: 79% (6891/8721) Resolving deltas: 80% (6977/8721) Resolving deltas: 81% (7065/8721) Resolving deltas: 82% (7153/8721) Resolving deltas: 83% (7239/8721) Resolving deltas: 84% (7326/8721) Resolving deltas: 85% (7413/8721) Resolving deltas: 86% (7501/8721) Resolving deltas: 87% (7588/8721) Resolving deltas: 88% (7675/8721) Resolving deltas: 89% (7762/8721) Resolving deltas: 90% (7849/8721) Resolving deltas: 91% (7937/8721) Resolving deltas: 92% (8025/8721) Resolving deltas: 93% (8111/8721) Resolving deltas: 94% (8198/8721) Resolving deltas: 95% (8285/8721) Resolving deltas: 96% (8373/8721) Resolving deltas: 97% (8460/8721) Resolving deltas: 98% (8550/8721) Resolving deltas: 99% (8634/8721) Resolving deltas: 100% (8721/8721) Resolving deltas: 100% (8721/8721), done.
  19. 18.39 s From https://github.com/alphal00p/symbolica
  20. 18.39 s * [new branch] codex/kirapy-state-registry -> codex/kirapy-state-registry
  21. 18.39 s * [new branch] codex/kirapy-state-registry-dev-2026-08-25 -> codex/kirapy-state-registry-dev-2026-08-25
  22. 18.39 s * [new branch] codex/phase-fix-nested-tensor-counters -> codex/phase-fix-nested-tensor-counters
  23. 18.39 s * [new branch] codex/state-import-d6bb961 -> codex/state-import-d6bb961
  24. 18.39 s * [new branch] evaluate -> evaluate
  25. 18.39 s * [new branch] main -> main
  26. 18.39 s * [new branch] nested_symmetrize -> nested_symmetrize
  27. 18.39 s * [new branch] no_namespace -> no_namespace
  28. 18.39 s * [new branch] packed_exp -> packed_exp
  29. 18.39 s * [new branch] random -> random
  30. 18.39 s * [new branch] rat_parser -> rat_parser
  31. 18.39 s * [new branch] symbolica_fork_for_v0_3_3 -> symbolica_fork_for_v0_3_3
  32. 18.39 s * [new branch] transformer -> transformer
  33. 18.39 s * [new ref] refs/pull/1/head -> refs/pull/1/head
  34. 18.39 s * [new ref] refs/pull/2/head -> refs/pull/2/head
  35. 18.39 s * [new tag] v0.1.0 -> v0.1.0
  36. 25.54 s {"attrPath":["checks","x86_64-linux","gammaloop"],"drvPath":"/nix/store/57c54nassid9l5rmpqna708qkw22n93i-gammaloop-api-0.1.0.drv","isCached":false,"type":"job"}
  37. 26.18 s {"attrPath":["checks","x86_64-linux","gammaloop-check"],"drvPath":"/nix/store/yq41fja0qvn1pcayl6m3fb5q6zl3fd3g-gammaloop-workspace-check-0.1.0.drv","isCached":false,"type":"job"}
  38. 26.41 s {"attrPath":["checks","x86_64-linux","gammaloop-doc"],"drvPath":"/nix/store/rvqnb6vq251q1gvvb0x7b2qys1r829dg-gammaloop-workspace-doc-0.1.0.drv","isCached":false,"type":"job"}
  39. 26.65 s {"attrPath":["checks","x86_64-linux","gammaloop-doctest"],"drvPath":"/nix/store/ifm8rn0h3pmvqmrzv44hcvy0g7g0ma3g-gammaloop-workspace-doctest-0.1.0.drv","isCached":false,"type":"job"}
  40. 27.08 s {"attrPath":["checks","x86_64-linux","gammaloop-fmt"],"drvPath":"/nix/store/c8033fqn1mqvcv5safm03i1gsr62yx24-gammaloop-workspace-fmt-0.1.0.drv","isCached":false,"type":"job"}
  41. 27.46 s {"attrPath":["checks","x86_64-linux","gammaloop-guppy-workspace-graph"],"drvPath":"/nix/store/3l7kwflx8awwjms7vl60c8mbkpail49c-gammaloop-guppy-workspace-graph-check.drv","isCached":false,"type":"job"}
  42. 27.81 s {"attrPath":["checks","x86_64-linux","gammaloop-clippy"],"drvPath":"/nix/store/f0nimsqvz3ai2wzys4587jnwlsqnn4rj-gammaloop-workspace-clippy-0.1.0.drv","isCached":false,"type":"job"}
  43. 39.20 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest"],"drvPath":"/nix/store/w3sz03p6n88xjg1l1cwn2b5jkvkfl8p1-gammaloop-nextest.drv","isCached":false,"type":"job"}
  44. 39.47 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-clinnet"],"drvPath":"/nix/store/3y7fx573h9kih92hyzviryigjxz2kgpx-gammaloop-nextest-binaries-clinnet.drv","isCached":false,"type":"job"}
  45. 39.71 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-core"],"drvPath":"/nix/store/c47r2n57qwcwbhbv2yd6fnckkh4088af-gammaloop-nextest-binaries-core.drv","isCached":false,"type":"job"}
  46. 39.96 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-integration"],"drvPath":"/nix/store/s23f800wc23p3w7w05jxlg56gfskndjh-gammaloop-nextest-binaries-integration.drv","isCached":false,"type":"job"}
  47. 40.21 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-linnet"],"drvPath":"/nix/store/c1kfswd2dx93hl3y07jhxgzlj4kxdddc-gammaloop-nextest-binaries-linnet.drv","isCached":false,"type":"job"}
  48. 40.46 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-python-api"],"drvPath":"/nix/store/ashpy292kqnwkzy8gjc1nilvp677z4gv-gammaloop-nextest-binaries-python-api.drv","isCached":false,"type":"job"}
  49. 40.72 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-spenso"],"drvPath":"/nix/store/hn5rhganwxa473f9xmvzkvgc34zfy9jy-gammaloop-nextest-binaries-spenso.drv","isCached":false,"type":"job"}
  50. 41.00 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-vakint"],"drvPath":"/nix/store/nxjmqay2ykbx62472vwikdh7jzql8in7-gammaloop-nextest-binaries-vakint.drv","isCached":false,"type":"job"}
  51. 41.24 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-clinnet"],"drvPath":"/nix/store/fhi0l1wpa5sf31292kwgjwia118imw4j-gammaloop-nextest-clinnet.drv","isCached":false,"type":"job"}
  52. 41.48 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-core"],"drvPath":"/nix/store/ss2knxyl84y5qxw02jqapdynyhvfm5ab-gammaloop-nextest-core.drv","isCached":false,"type":"job"}
  53. 41.72 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-integration"],"drvPath":"/nix/store/g40jd0kq94qic375m4pqw2fpjgribj0l-gammaloop-nextest-integration.drv","isCached":false,"type":"job"}
  54. 41.97 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-linnet"],"drvPath":"/nix/store/i0pdw2k5nm72wqkdy45h5vnmic8qaqqd-gammaloop-nextest-linnet.drv","isCached":false,"type":"job"}
  55. 42.20 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries"],"drvPath":"/nix/store/v0g7y20v0rffcqlax5zxyf1c1yj673gz-gammaloop-nextest-binaries.drv","isCached":false,"type":"job"}
  56. 42.22 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-python-api"],"drvPath":"/nix/store/hx46fglsvcnf6r6952b6jr61zmvwl1lh-gammaloop-nextest-python-api.drv","isCached":false,"type":"job"}
  57. 42.50 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-vakint"],"drvPath":"/nix/store/afqs8495bl27s60p2ijmqcf2cwa86gzp-gammaloop-nextest-vakint.drv","isCached":false,"type":"job"}
  58. 42.76 s {"attrPath":["checks","x86_64-linux","linnest-wasm"],"drvPath":"/nix/store/jlb8bmfp48j3hqzv1lflca81bb87s25z-linnest-wasm-check.drv","isCached":false,"type":"job"}
  59. 43.17 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-spenso"],"drvPath":"/nix/store/c377z40hxypjzxm47ijgbhaa2brfr994-gammaloop-nextest-spenso.drv","isCached":false,"type":"job"}
  60. 46.21 s {"attrPath":["devShells","x86_64-linux","clinnet"],"drvPath":"/nix/store/gms6lq1pwbmgdjmsnazfbc63sdavb1kh-nix-shell.drv","isCached":false,"type":"job"}
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  143. 58.71 s {"attrPath":["packages","x86_64-linux","gammaloop-python-module"],"drvPath":"/nix/store/z8zmlx5vzffijzqicwwqsx99jrs4x507-nix-ci-artifact-barrier-gammaloop-python-module.drv","isCached":false,"type":"job"}
  144. 58.94 s {"attrPath":["packages","x86_64-linux","gammaloopApiPackageArtifacts"],"drvPath":"/nix/store/syaz8jxkrclz4ilgf9vxkiw2xpja75ns-nix-ci-artifact-barrier-gammaloop-api-package-artifacts.drv","isCached":false,"type":"job"}
  145. 58.96 s {"attrPath":["packages","x86_64-linux","gammaloop-llvm-coverage"],"drvPath":"/nix/store/qjhff7r7cl06m505gk3apjsw8mxma123-gammaloop-workspace-llvm-cov-0.1.0.drv","isCached":false,"type":"job"}
  146. 59.16 s {"attrPath":["packages","x86_64-linux","linnest-wasm"],"drvPath":"/nix/store/l6hflclz335b68pscrfxcypw0nb88w8w-linnest-wasm-0.1.0.drv","isCached":false,"type":"job"}
  147. 59.19 s {"attrPath":["packages","x86_64-linux","linnestWasmCargoArtifacts"],"drvPath":"/nix/store/4bvs2ld1qp9h3b933qsvw1ff80lpiz8b-nix-ci-artifact-barrier-linnest-wasm-cargo-artifacts.drv","isCached":false,"type":"job"}
  148. 60.23 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-doctest"],"drvPath":"/nix/store/qvs7vdrnal9h7pbcga99k8pi146yjf5s-nix-ci-check-gammaloop-doctest.drv","isCached":true,"type":"job"}
  149. 60.45 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest"],"drvPath":"/nix/store/xjv4shxp888a0h6shl4bf5lzg8pb3ng3-nix-ci-check-gammaloop-nextest.drv","isCached":false,"type":"job"}
  150. 60.46 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-clinnet"],"drvPath":"/nix/store/7zbzsdw7sdpww64azlj7mp6dqvyh77vj-nix-ci-check-gammaloop-nextest-clinnet.drv","isCached":false,"type":"job"}
  151. 60.71 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-integration"],"drvPath":"/nix/store/zkdnj4iwv593a63l2z3csird92dvyc7c-nix-ci-check-gammaloop-nextest-integration.drv","isCached":false,"type":"job"}
  152. 60.71 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-core"],"drvPath":"/nix/store/54kvgk8j1akzz6bjsfayy433g69xsvzb-nix-ci-check-gammaloop-nextest-core.drv","isCached":false,"type":"job"}
  153. 60.95 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-python-api"],"drvPath":"/nix/store/3f589sj3wpvjfr4w4jzqz6rxkkvw2isg-nix-ci-check-gammaloop-nextest-python-api.drv","isCached":false,"type":"job"}
  154. 60.96 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-linnet"],"drvPath":"/nix/store/q0q3zh6y8lhylf6xdj7256cna3vi46qa-nix-ci-check-gammaloop-nextest-linnet.drv","isCached":false,"type":"job"}
  155. 61.19 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-vakint"],"drvPath":"/nix/store/asjnri7m31fja6paqssg91bzcirizmxy-nix-ci-check-gammaloop-nextest-vakint.drv","isCached":false,"type":"job"}
  156. 61.19 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-spenso"],"drvPath":"/nix/store/7qhqmh2myxd913fdwvhjb3n3myj4qdnk-nix-ci-check-gammaloop-nextest-spenso.drv","isCached":false,"type":"job"}
  157. 61.19 s {"attrPath":["packages","x86_64-linux","nix-ci-passed"],"drvPath":"/nix/store/fwyim5ygkbbsbgkhk5xjfd13dkldw2v5-nix-ci-passed.drv","isCached":true,"type":"job"}
  158. 61.75 s {"attrPath":["packages","x86_64-linux","default"],"drvPath":"/nix/store/57c54nassid9l5rmpqna708qkw22n93i-gammaloop-api-0.1.0.drv","isCached":false,"type":"job"}
  159. 61.83 s {"attrPath":["packages","x86_64-linux","workspaceBuildArtifacts"],"drvPath":"/nix/store/dmx4m8r91wgqmpbfs74fl3j8fzqxqqyz-gammaloop-workspace-build-artifacts-build-0.1.0.drv","isCached":false,"type":"job"}
  160. 61.99 s {"type":"done"}
  161. 62.00 s Discovered 124 buildables.
  162. 62.00 s Some of these were already built successfully before; we will skip those builds.
  163. 62.00 s Job discovery completed.
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