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=ir_safe_threshold_subtraction&rev=180eff43cad87efe3ad2fbb851d1536f23bb3ad7 --system x86_64-linux --no-dependencies
  2. 1.36 s remote: Enumerating objects: 2321, done.
  3. 1.48 s remote: Counting objects: 0% (1/2321) remote: Counting objects: 1% (24/2321) remote: Counting objects: 2% (47/2321) remote: Counting objects: 3% (70/2321) remote: Counting objects: 4% (93/2321) remote: Counting objects: 5% (117/2321) remote: Counting objects: 6% (140/2321) remote: Counting objects: 7% (163/2321) remote: Counting objects: 8% (186/2321) remote: Counting objects: 9% (209/2321) remote: Counting objects: 10% (233/2321) remote: Counting objects: 11% (256/2321) remote: Counting objects: 12% (279/2321) remote: Counting objects: 13% (302/2321) remote: Counting objects: 14% (325/2321) remote: Counting objects: 15% (349/2321) remote: Counting objects: 16% (372/2321) remote: Counting objects: 17% (395/2321) remote: Counting objects: 18% (418/2321) remote: Counting objects: 19% (441/2321) remote: Counting objects: 20% (465/2321) remote: Counting objects: 21% (488/2321) remote: Counting objects: 22% (511/2321) remote: Counting objects: 23% (534/2321) remote: Counting objects: 24% (558/2321) remote: Counting objects: 25% (581/2321) remote: Counting objects: 26% (604/2321) remote: Counting objects: 27% (627/2321) remote: Counting objects: 28% (650/2321) remote: Counting objects: 29% (674/2321) remote: Counting objects: 30% (697/2321) remote: Counting objects: 31% (720/2321) remote: Counting objects: 32% (743/2321) remote: Counting objects: 33% (766/2321) remote: Counting objects: 34% (790/2321) remote: Counting objects: 35% (813/2321) remote: Counting objects: 36% (836/2321) remote: Counting objects: 37% (859/2321) remote: Counting objects: 38% (882/2321) remote: Counting objects: 39% (906/2321) remote: Counting objects: 40% (929/2321) remote: Counting objects: 41% (952/2321) remote: Counting objects: 42% (975/2321) remote: Counting objects: 43% (999/2321) remote: Counting objects: 44% (1022/2321) remote: Counting objects: 45% (1045/2321) remote: Counting objects: 46% (1068/2321) remote: Counting objects: 47% (1091/2321) remote: Counting objects: 48% (1115/2321) remote: Counting objects: 49% (1138/2321) remote: Counting objects: 50% (1161/2321) remote: Counting objects: 51% (1184/2321) remote: Counting objects: 52% (1207/2321) remote: Counting objects: 53% (1231/2321) remote: Counting objects: 54% (1254/2321) remote: Counting objects: 55% (1277/2321) remote: Counting objects: 56% (1300/2321) remote: Counting objects: 57% (1323/2321) remote: Counting objects: 58% (1347/2321) remote: Counting objects: 59% (1370/2321) remote: Counting objects: 60% (1393/2321) remote: Counting objects: 61% (1416/2321) remote: Counting objects: 62% (1440/2321) remote: Counting objects: 63% (1463/2321) remote: Counting objects: 64% (1486/2321) remote: Counting objects: 65% (1509/2321) remote: Counting objects: 66% (1532/2321) remote: Counting objects: 67% (1556/2321) remote: Counting objects: 68% (1579/2321) remote: Counting objects: 69% (1602/2321) remote: Counting objects: 70% (1625/2321) remote: Counting objects: 71% (1648/2321) remote: Counting objects: 72% (1672/2321) remote: Counting objects: 73% (1695/2321) remote: Counting objects: 74% (1718/2321) remote: Counting objects: 75% (1741/2321) remote: Counting objects: 76% (1764/2321) remote: Counting objects: 77% (1788/2321) remote: Counting objects: 78% (1811/2321) remote: Counting objects: 79% (1834/2321) remote: Counting objects: 80% (1857/2321) remote: Counting objects: 81% (1881/2321) remote: Counting objects: 82% (1904/2321) remote: Counting objects: 83% (1927/2321) remote: Counting objects: 84% (1950/2321) remote: Counting objects: 85% (1973/2321) remote: Counting objects: 86% (1997/2321) remote: Counting objects: 87% (2020/2321) remote: Counting objects: 88% (2043/2321) remote: Counting objects: 89% (2066/2321) remote: Counting objects: 90% (2089/2321) remote: Counting objects: 91% (2113/2321) remote: Counting objects: 92% (2136/2321) remote: Counting objects: 93% (2159/2321) remote: Counting objects: 94% (2182/2321) remote: Counting objects: 95% (2205/2321) remote: Counting objects: 96% (2229/2321) remote: Counting objects: 97% (2252/2321) remote: Counting objects: 98% (2275/2321) remote: Counting objects: 99% (2298/2321) remote: Counting objects: 100% (2321/2321) remote: Counting objects: 100% (2321/2321), done.
  4. 2.23 s remote: Compressing objects: 0% (1/1391) remote: Compressing objects: 1% (14/1391) remote: Compressing objects: 2% (28/1391) remote: Compressing objects: 3% (42/1391) remote: Compressing objects: 4% (56/1391) remote: Compressing objects: 5% (70/1391) remote: Compressing objects: 6% (84/1391) remote: Compressing objects: 7% (98/1391) remote: Compressing objects: 8% (112/1391) remote: Compressing objects: 9% (126/1391) remote: Compressing objects: 10% (140/1391) remote: Compressing objects: 11% (154/1391) remote: Compressing objects: 12% (167/1391) remote: Compressing objects: 13% (181/1391) remote: Compressing objects: 14% (195/1391) remote: Compressing objects: 15% (209/1391) remote: Compressing objects: 16% (223/1391) remote: Compressing objects: 17% (237/1391) remote: Compressing objects: 18% (251/1391) remote: Compressing objects: 19% (265/1391) remote: Compressing objects: 20% (279/1391) remote: Compressing objects: 21% (293/1391) remote: Compressing objects: 22% (307/1391) remote: Compressing objects: 23% (320/1391) remote: Compressing objects: 24% (334/1391) remote: Compressing objects: 25% (348/1391) remote: Compressing objects: 26% (362/1391) remote: Compressing objects: 27% (376/1391) remote: Compressing objects: 28% (390/1391) remote: Compressing objects: 29% (404/1391) remote: Compressing objects: 30% (418/1391) remote: Compressing objects: 31% (432/1391) remote: Compressing objects: 32% (446/1391) remote: Compressing objects: 33% (460/1391) remote: Compressing objects: 34% (473/1391) remote: Compressing objects: 35% (487/1391) remote: Compressing objects: 36% (501/1391) remote: Compressing objects: 37% (515/1391) remote: Compressing objects: 38% (529/1391) remote: Compressing objects: 39% (543/1391) remote: Compressing objects: 40% (557/1391) remote: Compressing objects: 41% (571/1391) remote: Compressing objects: 42% (585/1391) remote: Compressing objects: 43% (599/1391) remote: Compressing objects: 44% (613/1391) remote: Compressing objects: 45% (626/1391) remote: Compressing objects: 46% (640/1391) remote: Compressing objects: 47% (654/1391) remote: Compressing objects: 48% (668/1391) remote: Compressing objects: 49% (682/1391) remote: Compressing objects: 50% (696/1391) remote: Compressing objects: 51% (710/1391) remote: Compressing objects: 52% (724/1391) remote: Compressing objects: 53% (738/1391) remote: Compressing objects: 54% (752/1391) remote: Compressing objects: 55% (766/1391) remote: Compressing objects: 56% (779/1391) remote: Compressing objects: 57% (793/1391) remote: Compressing objects: 58% (807/1391) remote: Compressing objects: 59% (821/1391) remote: Compressing objects: 60% (835/1391) remote: Compressing objects: 61% (849/1391) remote: Compressing objects: 62% (863/1391) remote: Compressing objects: 63% (877/1391) remote: Compressing objects: 64% (891/1391) remote: Compressing objects: 65% (905/1391) remote: Compressing objects: 66% (919/1391) remote: Compressing objects: 67% (932/1391) remote: Compressing objects: 68% (946/1391) remote: Compressing objects: 69% (960/1391) remote: Compressing objects: 70% (974/1391) remote: Compressing objects: 71% (988/1391) remote: Compressing objects: 72% (1002/1391) remote: Compressing objects: 73% (1016/1391) remote: Compressing objects: 74% (1030/1391) remote: Compressing objects: 75% (1044/1391) remote: Compressing objects: 76% (1058/1391) remote: Compressing objects: 77% (1072/1391) remote: Compressing objects: 78% (1085/1391) remote: Compressing objects: 79% (1099/1391) remote: Compressing objects: 80% (1113/1391) remote: Compressing objects: 81% (1127/1391) remote: Compressing objects: 82% (1141/1391) remote: Compressing objects: 83% (1155/1391) remote: Compressing objects: 84% (1169/1391) remote: Compressing objects: 85% (1183/1391) remote: Compressing objects: 86% (1197/1391) remote: Compressing objects: 87% (1211/1391) remote: Compressing objects: 88% (1225/1391) remote: Compressing objects: 89% (1238/1391) remote: Compressing objects: 90% (1252/1391) remote: Compressing objects: 91% (1266/1391) remote: Compressing objects: 92% (1280/1391) remote: Compressing objects: 93% (1294/1391) remote: Compressing objects: 94% (1308/1391) remote: Compressing objects: 95% (1322/1391) remote: Compressing objects: 96% (1336/1391) remote: Compressing objects: 97% (1350/1391) remote: Compressing objects: 98% (1364/1391) remote: Compressing objects: 99% (1378/1391) remote: Compressing objects: 100% (1391/1391) remote: Compressing objects: 100% (1391/1391), done.
  5. 2.91 s Receiving objects: 0% (1/2321) Receiving objects: 1% (24/2321) Receiving objects: 2% (47/2321) Receiving objects: 3% (70/2321) Receiving objects: 4% (93/2321) Receiving objects: 5% (117/2321) Receiving objects: 6% (140/2321) Receiving objects: 7% (163/2321) Receiving objects: 8% (186/2321) Receiving objects: 9% (209/2321) Receiving objects: 10% (233/2321) Receiving objects: 11% (256/2321) Receiving objects: 12% (279/2321) Receiving objects: 13% (302/2321) Receiving objects: 14% (325/2321) Receiving objects: 15% (349/2321) Receiving objects: 16% (372/2321) Receiving objects: 17% (395/2321) Receiving objects: 18% (418/2321) Receiving objects: 19% (441/2321) Receiving objects: 20% (465/2321) Receiving objects: 21% (488/2321) Receiving objects: 22% (511/2321) Receiving objects: 23% (534/2321) Receiving objects: 24% (558/2321) Receiving objects: 25% (581/2321) Receiving objects: 26% (604/2321) Receiving objects: 27% (627/2321) Receiving objects: 28% (650/2321) Receiving objects: 29% (674/2321) Receiving objects: 30% (697/2321) Receiving objects: 31% (720/2321) Receiving objects: 32% (743/2321) Receiving objects: 33% (766/2321) Receiving objects: 34% (790/2321) Receiving objects: 35% (813/2321) Receiving objects: 36% (836/2321) Receiving objects: 37% (859/2321) Receiving objects: 38% (882/2321) Receiving objects: 39% (906/2321) Receiving objects: 40% (929/2321) Receiving objects: 41% (952/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 42% (975/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 43% (999/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 44% (1022/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 45% (1045/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 46% (1068/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 47% (1091/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 48% (1115/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 49% (1138/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 50% (1161/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 51% (1184/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 52% (1207/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 53% (1231/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 54% (1254/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 55% (1277/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 56% (1300/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 57% (1323/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 58% (1347/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 59% (1370/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 60% (1393/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 61% (1416/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 62% (1440/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 63% (1463/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 64% (1486/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 65% (1509/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 66% (1532/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 67% (1556/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 68% (1579/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 69% (1602/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 70% (1625/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 71% (1648/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 72% (1672/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 73% (1695/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 74% (1718/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 75% (1741/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 76% (1764/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 77% (1788/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 78% (1811/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 79% (1834/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 80% (1857/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 81% (1881/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 82% (1904/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 83% (1927/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 84% (1950/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 85% (1973/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 86% (1997/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 87% (2020/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 88% (2043/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 89% (2066/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 90% (2089/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 91% (2113/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 92% (2136/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 93% (2159/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 94% (2182/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 95% (2205/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 96% (2229/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 97% (2252/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 98% (2275/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 99% (2298/2321), 9.59 MiB | 18.80 MiB/s remote: Total 2321 (delta 1015), reused 1532 (delta 858), pack-reused 0 (from 0)
  6. 2.91 s Receiving objects: 100% (2321/2321), 9.59 MiB | 18.80 MiB/s Receiving objects: 100% (2321/2321), 15.65 MiB | 23.09 MiB/s, done.
  7. 2.93 s Resolving deltas: 0% (0/1015) Resolving deltas: 1% (11/1015) Resolving deltas: 2% (21/1015) Resolving deltas: 3% (31/1015) Resolving deltas: 4% (41/1015) Resolving deltas: 5% (51/1015) Resolving deltas: 6% (61/1015) Resolving deltas: 7% (72/1015) Resolving deltas: 8% (82/1015) Resolving deltas: 9% (92/1015) Resolving deltas: 10% (102/1015) Resolving deltas: 11% (112/1015) Resolving deltas: 12% (122/1015) Resolving deltas: 13% (132/1015) Resolving deltas: 14% (143/1015) Resolving deltas: 15% (153/1015) Resolving deltas: 16% (163/1015) Resolving deltas: 17% (173/1015) Resolving deltas: 18% (183/1015) Resolving deltas: 19% (193/1015) Resolving deltas: 20% (203/1015) Resolving deltas: 21% (214/1015) Resolving deltas: 22% (224/1015) Resolving deltas: 23% (234/1015) Resolving deltas: 24% (244/1015) Resolving deltas: 25% (254/1015) Resolving deltas: 26% (264/1015) Resolving deltas: 27% (275/1015) Resolving deltas: 28% (285/1015) Resolving deltas: 29% (295/1015) Resolving deltas: 30% (305/1015) Resolving deltas: 31% (315/1015) Resolving deltas: 32% (325/1015) Resolving deltas: 33% (335/1015) Resolving deltas: 34% (346/1015) Resolving deltas: 35% (356/1015) Resolving deltas: 36% (366/1015) Resolving deltas: 37% (376/1015) Resolving deltas: 38% (386/1015) Resolving deltas: 39% (396/1015) Resolving deltas: 40% (406/1015) Resolving deltas: 41% (417/1015) Resolving deltas: 42% (427/1015) Resolving deltas: 43% (437/1015) Resolving deltas: 44% (447/1015) Resolving deltas: 45% (457/1015) Resolving deltas: 46% (467/1015) Resolving deltas: 47% (478/1015) Resolving deltas: 48% (488/1015) Resolving deltas: 49% (498/1015) Resolving deltas: 50% (508/1015) Resolving deltas: 51% (518/1015) Resolving deltas: 52% (528/1015) Resolving deltas: 53% (538/1015) Resolving deltas: 54% (549/1015) Resolving deltas: 55% (559/1015) Resolving deltas: 56% (569/1015) Resolving deltas: 57% (580/1015) Resolving deltas: 58% (589/1015) Resolving deltas: 59% (599/1015) Resolving deltas: 60% (609/1015) Resolving deltas: 61% (620/1015) Resolving deltas: 62% (630/1015) Resolving deltas: 63% (640/1015) Resolving deltas: 64% (652/1015) Resolving deltas: 65% (660/1015) Resolving deltas: 66% (671/1015) Resolving deltas: 67% (682/1015) Resolving deltas: 68% (691/1015) Resolving deltas: 69% (701/1015) Resolving deltas: 70% (711/1015) Resolving deltas: 71% (721/1015) Resolving deltas: 72% (733/1015) Resolving deltas: 73% (741/1015) Resolving deltas: 74% (752/1015) Resolving deltas: 75% (762/1015) Resolving deltas: 76% (772/1015) Resolving deltas: 77% (782/1015) Resolving deltas: 78% (792/1015) Resolving deltas: 79% (802/1015) Resolving deltas: 80% (812/1015) Resolving deltas: 81% (823/1015) Resolving deltas: 82% (836/1015) Resolving deltas: 83% (843/1015) Resolving deltas: 84% (853/1015) Resolving deltas: 85% (863/1015) Resolving deltas: 86% (873/1015) Resolving deltas: 87% (884/1015) Resolving deltas: 88% (896/1015) Resolving deltas: 89% (905/1015) Resolving deltas: 90% (914/1015) Resolving deltas: 91% (924/1015) Resolving deltas: 92% (937/1015) Resolving deltas: 93% (944/1015) Resolving deltas: 94% (955/1015) Resolving deltas: 95% (965/1015) Resolving deltas: 96% (975/1015) Resolving deltas: 97% (985/1015) Resolving deltas: 98% (995/1015) Resolving deltas: 99% (1005/1015) Resolving deltas: 100% (1015/1015) Resolving deltas: 100% (1015/1015), done.
  8. 3.03 s From https://github.com/alphal00p/gammaloop
  9. 3.03 s * branch 180eff43cad87efe3ad2fbb851d1536f23bb3ad7 -> FETCH_HEAD
  10. 3.51 s copying path '/nix/store/51z7p4g46ybpi81ipn10c9fs2i0vvqs3-source' from 'https://cache.nix-ci.com'...
  11. 16.05 s unpacking 'github:nix-community/fenix/8d20dd64ad45ed4b5179a37cec75fff9f732e78d?narHash=sha256-5JD6IDeOxt%2B7GF0UP7M1ttZ1SyCSzXcgaKU5OEoqPk0%3D' into the Git cache...
  12. 17.99 s remote: Enumerating objects: 11150, done.
  13. 17.99 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.
  14. 18.17 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.
  15. 18.42 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)
  16. 18.42 s Receiving objects: 100% (11150/11150) Receiving objects: 100% (11150/11150), 6.49 MiB | 26.56 MiB/s, done.
  17. 18.61 s Resolving deltas: 0% (0/8721) Resolving deltas: 1% (89/8721) Resolving deltas: 2% (175/8721) Resolving deltas: 3% (262/8721) Resolving deltas: 4% (349/8721) Resolving deltas: 5% (437/8721) Resolving deltas: 6% (524/8721) Resolving deltas: 7% (611/8721) Resolving deltas: 8% (699/8721) Resolving deltas: 9% (788/8721) Resolving deltas: 10% (873/8721) Resolving deltas: 11% (960/8721) Resolving deltas: 12% (1047/8721) Resolving deltas: 13% (1135/8721) Resolving deltas: 14% (1221/8721) Resolving deltas: 15% (1309/8721) Resolving deltas: 16% (1396/8721) Resolving deltas: 17% (1483/8721) Resolving deltas: 18% (1570/8721) Resolving deltas: 19% (1657/8721) Resolving deltas: 20% (1745/8721) Resolving deltas: 21% (1832/8721) Resolving deltas: 22% (1919/8721) 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% (2617/8721) Resolving deltas: 31% (2704/8721) Resolving deltas: 32% (2791/8721) Resolving deltas: 33% (2878/8721) Resolving deltas: 34% (2967/8721) 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% (3576/8721) 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% (4362/8721) Resolving deltas: 51% (4448/8721) Resolving deltas: 52% (4536/8721) Resolving deltas: 53% (4623/8721) Resolving deltas: 54% (4714/8721) Resolving deltas: 55% (4797/8721) Resolving deltas: 56% (4884/8721) Resolving deltas: 57% (4971/8721) Resolving deltas: 58% (5062/8721) Resolving deltas: 59% (5146/8721) Resolving deltas: 60% (5233/8721) Resolving deltas: 61% (5320/8721) Resolving deltas: 62% (5408/8721) Resolving deltas: 63% (5496/8721) 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% (6018/8721) Resolving deltas: 70% (6105/8721) Resolving deltas: 71% (6192/8721) Resolving deltas: 72% (6280/8721) Resolving deltas: 73% (6369/8721) Resolving deltas: 74% (6454/8721) Resolving deltas: 75% (6541/8721) Resolving deltas: 76% (6628/8721) Resolving deltas: 77% (6716/8721) Resolving deltas: 78% (6803/8721) Resolving deltas: 79% (6890/8721) 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% (7938/8721) Resolving deltas: 92% (8024/8721) 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% (8547/8721) Resolving deltas: 99% (8634/8721) Resolving deltas: 100% (8721/8721) Resolving deltas: 100% (8721/8721), done.
  18. 18.65 s From https://github.com/alphal00p/symbolica
  19. 18.65 s * [new branch] codex/kirapy-state-registry -> codex/kirapy-state-registry
  20. 18.65 s * [new branch] codex/kirapy-state-registry-dev-2026-08-25 -> codex/kirapy-state-registry-dev-2026-08-25
  21. 18.65 s * [new branch] codex/phase-fix-nested-tensor-counters -> codex/phase-fix-nested-tensor-counters
  22. 18.65 s * [new branch] codex/state-import-d6bb961 -> codex/state-import-d6bb961
  23. 18.65 s * [new branch] evaluate -> evaluate
  24. 18.65 s * [new branch] main -> main
  25. 18.65 s * [new branch] nested_symmetrize -> nested_symmetrize
  26. 18.65 s * [new branch] no_namespace -> no_namespace
  27. 18.65 s * [new branch] packed_exp -> packed_exp
  28. 18.65 s * [new branch] random -> random
  29. 18.65 s * [new branch] rat_parser -> rat_parser
  30. 18.65 s * [new branch] symbolica_fork_for_v0_3_3 -> symbolica_fork_for_v0_3_3
  31. 18.65 s * [new branch] transformer -> transformer
  32. 18.65 s * [new ref] refs/pull/1/head -> refs/pull/1/head
  33. 18.65 s * [new ref] refs/pull/2/head -> refs/pull/2/head
  34. 18.65 s * [new tag] v0.1.0 -> v0.1.0
  35. 26.41 s {"attrPath":["checks","x86_64-linux","gammaloop"],"drvPath":"/nix/store/dpvmsfnqbjaysq14wwb863pl83llmnjb-gammaloop-api-0.1.0.drv","isCached":false,"type":"job"}
  36. 27.14 s {"attrPath":["checks","x86_64-linux","gammaloop-check"],"drvPath":"/nix/store/snkyxvsixi9h4wix0nyaa64w231l8kn0-gammaloop-workspace-check-0.1.0.drv","isCached":false,"type":"job"}
  37. 27.38 s {"attrPath":["checks","x86_64-linux","gammaloop-doc"],"drvPath":"/nix/store/y2zjlnnkbkg55ljfjff1knwjsi9xjb70-gammaloop-workspace-doc-0.1.0.drv","isCached":false,"type":"job"}
  38. 27.62 s {"attrPath":["checks","x86_64-linux","gammaloop-doctest"],"drvPath":"/nix/store/c5yqvxra1hga4g1jpnzq2bn0jjnrap0m-gammaloop-workspace-doctest-0.1.0.drv","isCached":false,"type":"job"}
  39. 28.10 s {"attrPath":["checks","x86_64-linux","gammaloop-fmt"],"drvPath":"/nix/store/4sdk002x87d7yxsvima41xi6wd9q2j7b-gammaloop-workspace-fmt-0.1.0.drv","isCached":false,"type":"job"}
  40. 28.51 s {"attrPath":["checks","x86_64-linux","gammaloop-guppy-workspace-graph"],"drvPath":"/nix/store/c5406mxgyqwrb1k0ccs1m7qzcpc18hnp-gammaloop-guppy-workspace-graph-check.drv","isCached":false,"type":"job"}
  41. 28.80 s {"attrPath":["checks","x86_64-linux","gammaloop-clippy"],"drvPath":"/nix/store/h9br1pb4aqmm48akvj7bj375aa6rndr0-gammaloop-workspace-clippy-0.1.0.drv","isCached":false,"type":"job"}
  42. 38.42 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest"],"drvPath":"/nix/store/n81s0aq8xg6f81chp6n0ql1rbz22cja2-gammaloop-nextest.drv","isCached":false,"type":"job"}
  43. 38.80 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-clinnet"],"drvPath":"/nix/store/rqp0ip6ckjnmm9qak4sgn4nlgy0k57mc-gammaloop-nextest-binaries-clinnet.drv","isCached":false,"type":"job"}
  44. 39.18 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-core"],"drvPath":"/nix/store/3bivz5n2qy2anmcw61iycqs43b8cxhp9-gammaloop-nextest-binaries-core.drv","isCached":false,"type":"job"}
  45. 39.57 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-integration"],"drvPath":"/nix/store/h1mcgc6rmvhllhajwvh80fq46n7wdsvz-gammaloop-nextest-binaries-integration.drv","isCached":false,"type":"job"}
  46. 39.98 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-linnet"],"drvPath":"/nix/store/lf9qqysgddrmpxxlwg5gw7p1rgj144za-gammaloop-nextest-binaries-linnet.drv","isCached":false,"type":"job"}
  47. 40.38 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-python-api"],"drvPath":"/nix/store/19rphc2flcv3kxgvp08ql5lzwjhc1yf3-gammaloop-nextest-binaries-python-api.drv","isCached":false,"type":"job"}
  48. 40.79 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-spenso"],"drvPath":"/nix/store/vncmgdnnk69ja47gy5q2amj69pm79dfc-gammaloop-nextest-binaries-spenso.drv","isCached":false,"type":"job"}
  49. 41.19 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-vakint"],"drvPath":"/nix/store/iv84xsim5fc8q197asaxgxkmxmzyx2nr-gammaloop-nextest-binaries-vakint.drv","isCached":false,"type":"job"}
  50. 41.61 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-clinnet"],"drvPath":"/nix/store/0f78s09i2bb942zixqdvvg8ggx4r211l-gammaloop-nextest-clinnet.drv","isCached":false,"type":"job"}
  51. 41.82 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries"],"drvPath":"/nix/store/64dc7kdh105g3krm0bz2083vc0v87lkv-gammaloop-nextest-binaries.drv","isCached":false,"type":"job"}
  52. 41.98 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-core"],"drvPath":"/nix/store/ffgqxmlc4vh08329fhl31lzncwpa687i-gammaloop-nextest-core.drv","isCached":false,"type":"job"}
  53. 42.35 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-linnet"],"drvPath":"/nix/store/ncxd7ly0dc386vl46qj3l12fl5pdhnaj-gammaloop-nextest-linnet.drv","isCached":false,"type":"job"}
  54. 42.72 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-python-api"],"drvPath":"/nix/store/fsa4rj94qzxb1z4hq2m3kkwdvnbp41vc-gammaloop-nextest-python-api.drv","isCached":false,"type":"job"}
  55. 43.20 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-spenso"],"drvPath":"/nix/store/hf2rdj2xgjxvs4bkmxm9805w4nc09j5a-gammaloop-nextest-spenso.drv","isCached":false,"type":"job"}
  56. 43.27 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-integration"],"drvPath":"/nix/store/l4f85lljg8803w1d6cci5b6s04f7rgyr-gammaloop-nextest-integration.drv","isCached":false,"type":"job"}
  57. 43.60 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-vakint"],"drvPath":"/nix/store/adzknfzgyw2gxarisjisg4lpcj4q8g6k-gammaloop-nextest-vakint.drv","isCached":false,"type":"job"}
  58. 44.10 s {"attrPath":["checks","x86_64-linux","linnest-wasm"],"drvPath":"/nix/store/bkmhzk0q5gfi5c4ncb9jkmc93r6vf0wl-linnest-wasm-check.drv","isCached":false,"type":"job"}
  59. 45.83 s {"attrPath":["devShells","x86_64-linux","clinnet"],"drvPath":"/nix/store/s3ldhd7kx0wzx6cinckv54yl26fhvv9r-nix-shell.drv","isCached":false,"type":"job"}
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  142. 60.25 s {"attrPath":["packages","x86_64-linux","gammaloop-python-module"],"drvPath":"/nix/store/5yl2yzllyhnzdh8jymjzaqpbbhzgs22l-nix-ci-artifact-barrier-gammaloop-python-module.drv","isCached":false,"type":"job"}
  143. 60.27 s {"attrPath":["packages","x86_64-linux","gammaloop-llvm-coverage"],"drvPath":"/nix/store/zfww7djh7gqmdxmbaw97d6xqb1p84b2s-gammaloop-workspace-llvm-cov-0.1.0.drv","isCached":false,"type":"job"}
  144. 60.47 s {"attrPath":["packages","x86_64-linux","gammaloopApiPackageArtifacts"],"drvPath":"/nix/store/c4ipjbzj48cgl8nyc3p6mk35ia0j0919-nix-ci-artifact-barrier-gammaloop-api-package-artifacts.drv","isCached":false,"type":"job"}
  145. 60.49 s {"attrPath":["packages","x86_64-linux","linnest-wasm"],"drvPath":"/nix/store/qfxl5d48ka5c5v9sz88065hmp7lsd0q0-linnest-wasm-0.1.0.drv","isCached":false,"type":"job"}
  146. 60.69 s {"attrPath":["packages","x86_64-linux","linnestWasmCargoArtifacts"],"drvPath":"/nix/store/yps5n7gx4x8an6pxiazzg5xpp9ajq8yx-nix-ci-artifact-barrier-linnest-wasm-cargo-artifacts.drv","isCached":false,"type":"job"}
  147. 60.85 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"}
  148. 61.08 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-clinnet"],"drvPath":"/nix/store/5km4l7srzvv8h5zm65vpdc41sjqr18jd-nix-ci-check-gammaloop-nextest-clinnet.drv","isCached":false,"type":"job"}
  149. 61.28 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest"],"drvPath":"/nix/store/0f2dl2i1lhbghnmlaj9diwj3x1im9d90-nix-ci-check-gammaloop-nextest.drv","isCached":false,"type":"job"}
  150. 61.33 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-core"],"drvPath":"/nix/store/a145s8bkf8x1lz8bvnlkyz9fh2p0lnxn-nix-ci-check-gammaloop-nextest-core.drv","isCached":false,"type":"job"}
  151. 61.54 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-integration"],"drvPath":"/nix/store/dflz962n9b242lfmnnncdkn9bv5p1z5m-nix-ci-check-gammaloop-nextest-integration.drv","isCached":false,"type":"job"}
  152. 61.58 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-linnet"],"drvPath":"/nix/store/kndh54lwnjw0flg56gqyi8p5alp7xnaq-nix-ci-check-gammaloop-nextest-linnet.drv","isCached":false,"type":"job"}
  153. 61.78 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-python-api"],"drvPath":"/nix/store/66bi40lwiv95gyn9jg4xgkbmapm56ifn-nix-ci-check-gammaloop-nextest-python-api.drv","isCached":false,"type":"job"}
  154. 61.83 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-spenso"],"drvPath":"/nix/store/yn9g64rfszphbdwrnyv8i0dfvssdz1cm-nix-ci-check-gammaloop-nextest-spenso.drv","isCached":false,"type":"job"}
  155. 61.84 s {"attrPath":["packages","x86_64-linux","nix-ci-passed"],"drvPath":"/nix/store/fwyim5ygkbbsbgkhk5xjfd13dkldw2v5-nix-ci-passed.drv","isCached":true,"type":"job"}
  156. 62.00 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-vakint"],"drvPath":"/nix/store/p5g702fm552fsvfjkq5bbq57w2qvdvzi-nix-ci-check-gammaloop-nextest-vakint.drv","isCached":false,"type":"job"}
  157. 63.09 s {"attrPath":["packages","x86_64-linux","workspaceBuildArtifacts"],"drvPath":"/nix/store/h6f41i7klhmw3apw877clvy0s11nxk5l-gammaloop-workspace-build-artifacts-build-0.1.0.drv","isCached":false,"type":"job"}
  158. 64.63 s {"attrPath":["packages","x86_64-linux","default"],"drvPath":"/nix/store/dpvmsfnqbjaysq14wwb863pl83llmnjb-gammaloop-api-0.1.0.drv","isCached":false,"type":"job"}
  159. 64.81 s {"type":"done"}
  160. 64.82 s Discovered 124 buildables.
  161. 64.82 s Some of these were already built successfully before; we will skip those builds.
  162. 64.82 s Job discovery completed.
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Reproduce locally: https://nix-ci.com/gh:alphal00p:gammaloop/ir_safe_threshold_subtraction/180eff43cad87efe3ad2fbb851d1536f23bb3ad7/7444887f-82fb-4f1e-a9ae-7162d9881427/repro

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