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=569f030974292706581c3e7923f449512ca14b61 --system x86_64-linux --no-dependencies
  2. 0.71 s remote: Enumerating objects: 2324, done.
  3. 0.82 s remote: Counting objects: 0% (1/2324) remote: Counting objects: 1% (24/2324) remote: Counting objects: 2% (47/2324) remote: Counting objects: 3% (70/2324) remote: Counting objects: 4% (93/2324) remote: Counting objects: 5% (117/2324) remote: Counting objects: 6% (140/2324) remote: Counting objects: 7% (163/2324) remote: Counting objects: 8% (186/2324) remote: Counting objects: 9% (210/2324) remote: Counting objects: 10% (233/2324) remote: Counting objects: 11% (256/2324) remote: Counting objects: 12% (279/2324) remote: Counting objects: 13% (303/2324) remote: Counting objects: 14% (326/2324) remote: Counting objects: 15% (349/2324) remote: Counting objects: 16% (372/2324) remote: Counting objects: 17% (396/2324) remote: Counting objects: 18% (419/2324) remote: Counting objects: 19% (442/2324) remote: Counting objects: 20% (465/2324) remote: Counting objects: 21% (489/2324) remote: Counting objects: 22% (512/2324) remote: Counting objects: 23% (535/2324) remote: Counting objects: 24% (558/2324) remote: Counting objects: 25% (581/2324) remote: Counting objects: 26% (605/2324) remote: Counting objects: 27% (628/2324) remote: Counting objects: 28% (651/2324) remote: Counting objects: 29% (674/2324) remote: Counting objects: 30% (698/2324) remote: Counting objects: 31% (721/2324) remote: Counting objects: 32% (744/2324) remote: Counting objects: 33% (767/2324) remote: Counting objects: 34% (791/2324) remote: Counting objects: 35% (814/2324) remote: Counting objects: 36% (837/2324) remote: Counting objects: 37% (860/2324) remote: Counting objects: 38% (884/2324) remote: Counting objects: 39% (907/2324) remote: Counting objects: 40% (930/2324) remote: Counting objects: 41% (953/2324) remote: Counting objects: 42% (977/2324) remote: Counting objects: 43% (1000/2324) remote: Counting objects: 44% (1023/2324) remote: Counting objects: 45% (1046/2324) remote: Counting objects: 46% (1070/2324) remote: Counting objects: 47% (1093/2324) remote: Counting objects: 48% (1116/2324) remote: Counting objects: 49% (1139/2324) remote: Counting objects: 50% (1162/2324) remote: Counting objects: 51% (1186/2324) remote: Counting objects: 52% (1209/2324) remote: Counting objects: 53% (1232/2324) remote: Counting objects: 54% (1255/2324) remote: Counting objects: 55% (1279/2324) remote: Counting objects: 56% (1302/2324) remote: Counting objects: 57% (1325/2324) remote: Counting objects: 58% (1348/2324) remote: Counting objects: 59% (1372/2324) remote: Counting objects: 60% (1395/2324) remote: Counting objects: 61% (1418/2324) remote: Counting objects: 62% (1441/2324) remote: Counting objects: 63% (1465/2324) remote: Counting objects: 64% (1488/2324) remote: Counting objects: 65% (1511/2324) remote: Counting objects: 66% (1534/2324) remote: Counting objects: 67% (1558/2324) remote: Counting objects: 68% (1581/2324) remote: Counting objects: 69% (1604/2324) remote: Counting objects: 70% (1627/2324) remote: Counting objects: 71% (1651/2324) remote: Counting objects: 72% (1674/2324) remote: Counting objects: 73% (1697/2324) remote: Counting objects: 74% (1720/2324) remote: Counting objects: 75% (1743/2324) remote: Counting objects: 76% (1767/2324) remote: Counting objects: 77% (1790/2324) remote: Counting objects: 78% (1813/2324) remote: Counting objects: 79% (1836/2324) remote: Counting objects: 80% (1860/2324) remote: Counting objects: 81% (1883/2324) remote: Counting objects: 82% (1906/2324) remote: Counting objects: 83% (1929/2324) remote: Counting objects: 84% (1953/2324) remote: Counting objects: 85% (1976/2324) remote: Counting objects: 86% (1999/2324) remote: Counting objects: 87% (2022/2324) remote: Counting objects: 88% (2046/2324) remote: Counting objects: 89% (2069/2324) remote: Counting objects: 90% (2092/2324) remote: Counting objects: 91% (2115/2324) remote: Counting objects: 92% (2139/2324) remote: Counting objects: 93% (2162/2324) remote: Counting objects: 94% (2185/2324) remote: Counting objects: 95% (2208/2324) remote: Counting objects: 96% (2232/2324) remote: Counting objects: 97% (2255/2324) remote: Counting objects: 98% (2278/2324) remote: Counting objects: 99% (2301/2324) remote: Counting objects: 100% (2324/2324) remote: Counting objects: 100% (2324/2324), done.
  4. 1.53 s remote: Compressing objects: 0% (1/1392) remote: Compressing objects: 1% (14/1392) remote: Compressing objects: 2% (28/1392) remote: Compressing objects: 3% (42/1392) remote: Compressing objects: 4% (56/1392) remote: Compressing objects: 5% (70/1392) remote: Compressing objects: 6% (84/1392) remote: Compressing objects: 7% (98/1392) remote: Compressing objects: 8% (112/1392) remote: Compressing objects: 9% (126/1392) remote: Compressing objects: 10% (140/1392) remote: Compressing objects: 11% (154/1392) remote: Compressing objects: 12% (168/1392) remote: Compressing objects: 13% (181/1392) remote: Compressing objects: 14% (195/1392) remote: Compressing objects: 15% (209/1392) remote: Compressing objects: 16% (223/1392) remote: Compressing objects: 17% (237/1392) remote: Compressing objects: 18% (251/1392) remote: Compressing objects: 19% (265/1392) remote: Compressing objects: 20% (279/1392) remote: Compressing objects: 21% (293/1392) remote: Compressing objects: 22% (307/1392) remote: Compressing objects: 23% (321/1392) remote: Compressing objects: 24% (335/1392) remote: Compressing objects: 25% (348/1392) remote: Compressing objects: 26% (362/1392) remote: Compressing objects: 27% (376/1392) remote: Compressing objects: 28% (390/1392) remote: Compressing objects: 29% (404/1392) remote: Compressing objects: 30% (418/1392) remote: Compressing objects: 31% (432/1392) remote: Compressing objects: 32% (446/1392) remote: Compressing objects: 33% (460/1392) remote: Compressing objects: 34% (474/1392) remote: Compressing objects: 35% (488/1392) remote: Compressing objects: 36% (502/1392) remote: Compressing objects: 37% (516/1392) remote: Compressing objects: 38% (529/1392) remote: Compressing objects: 39% (543/1392) remote: Compressing objects: 40% (557/1392) remote: Compressing objects: 41% (571/1392) remote: Compressing objects: 42% (585/1392) remote: Compressing objects: 43% (599/1392) remote: Compressing objects: 44% (613/1392) remote: Compressing objects: 45% (627/1392) remote: Compressing objects: 46% (641/1392) remote: Compressing objects: 47% (655/1392) remote: Compressing objects: 48% (669/1392) remote: Compressing objects: 49% (683/1392) remote: Compressing objects: 50% (696/1392) remote: Compressing objects: 51% (710/1392) remote: Compressing objects: 52% (724/1392) remote: Compressing objects: 53% (738/1392) remote: Compressing objects: 54% (752/1392) remote: Compressing objects: 55% (766/1392) remote: Compressing objects: 56% (780/1392) remote: Compressing objects: 57% (794/1392) remote: Compressing objects: 58% (808/1392) remote: Compressing objects: 59% (822/1392) remote: Compressing objects: 60% (836/1392) remote: Compressing objects: 61% (850/1392) remote: Compressing objects: 62% (864/1392) remote: Compressing objects: 63% (877/1392) remote: Compressing objects: 64% (891/1392) remote: Compressing objects: 65% (905/1392) remote: Compressing objects: 66% (919/1392) remote: Compressing objects: 67% (933/1392) remote: Compressing objects: 68% (947/1392) remote: Compressing objects: 69% (961/1392) remote: Compressing objects: 70% (975/1392) remote: Compressing objects: 71% (989/1392) remote: Compressing objects: 72% (1003/1392) remote: Compressing objects: 73% (1017/1392) remote: Compressing objects: 74% (1031/1392) remote: Compressing objects: 75% (1044/1392) remote: Compressing objects: 76% (1058/1392) remote: Compressing objects: 77% (1072/1392) remote: Compressing objects: 78% (1086/1392) remote: Compressing objects: 79% (1100/1392) remote: Compressing objects: 80% (1114/1392) remote: Compressing objects: 81% (1128/1392) remote: Compressing objects: 82% (1142/1392) remote: Compressing objects: 83% (1156/1392) remote: Compressing objects: 84% (1170/1392) remote: Compressing objects: 85% (1184/1392) remote: Compressing objects: 86% (1198/1392) remote: Compressing objects: 87% (1212/1392) remote: Compressing objects: 88% (1225/1392) remote: Compressing objects: 89% (1239/1392) remote: Compressing objects: 90% (1253/1392) remote: Compressing objects: 91% (1267/1392) remote: Compressing objects: 92% (1281/1392) remote: Compressing objects: 93% (1295/1392) remote: Compressing objects: 94% (1309/1392) remote: Compressing objects: 95% (1323/1392) remote: Compressing objects: 96% (1337/1392) remote: Compressing objects: 97% (1351/1392) remote: Compressing objects: 98% (1365/1392) remote: Compressing objects: 99% (1379/1392) remote: Compressing objects: 100% (1392/1392) remote: Compressing objects: 100% (1392/1392), done.
  5. 2.15 s Receiving objects: 0% (1/2324) Receiving objects: 1% (24/2324) Receiving objects: 2% (47/2324) Receiving objects: 3% (70/2324) Receiving objects: 4% (93/2324) Receiving objects: 5% (117/2324) Receiving objects: 6% (140/2324) Receiving objects: 7% (163/2324) Receiving objects: 8% (186/2324) Receiving objects: 9% (210/2324) Receiving objects: 10% (233/2324) Receiving objects: 11% (256/2324) Receiving objects: 12% (279/2324) Receiving objects: 13% (303/2324) Receiving objects: 14% (326/2324) Receiving objects: 15% (349/2324) Receiving objects: 16% (372/2324) Receiving objects: 17% (396/2324) Receiving objects: 18% (419/2324) Receiving objects: 19% (442/2324) Receiving objects: 20% (465/2324) Receiving objects: 21% (489/2324) Receiving objects: 22% (512/2324) Receiving objects: 23% (535/2324) Receiving objects: 24% (558/2324) Receiving objects: 25% (581/2324) Receiving objects: 26% (605/2324) Receiving objects: 27% (628/2324) Receiving objects: 28% (651/2324) Receiving objects: 29% (674/2324) Receiving objects: 30% (698/2324) Receiving objects: 31% (721/2324) Receiving objects: 32% (744/2324) Receiving objects: 33% (767/2324) Receiving objects: 34% (791/2324) Receiving objects: 35% (814/2324) Receiving objects: 36% (837/2324) Receiving objects: 37% (860/2324) Receiving objects: 38% (884/2324) Receiving objects: 39% (907/2324) Receiving objects: 40% (930/2324) Receiving objects: 41% (953/2324) Receiving objects: 42% (977/2324) Receiving objects: 43% (1000/2324) Receiving objects: 44% (1023/2324) Receiving objects: 45% (1046/2324) Receiving objects: 46% (1070/2324) Receiving objects: 47% (1093/2324) Receiving objects: 48% (1116/2324) Receiving objects: 49% (1139/2324) Receiving objects: 50% (1162/2324) Receiving objects: 51% (1186/2324) Receiving objects: 52% (1209/2324) Receiving objects: 53% (1232/2324) Receiving objects: 54% (1255/2324) Receiving objects: 55% (1279/2324) Receiving objects: 56% (1302/2324) Receiving objects: 57% (1325/2324) Receiving objects: 58% (1348/2324) Receiving objects: 59% (1372/2324) Receiving objects: 60% (1395/2324) Receiving objects: 61% (1418/2324) Receiving objects: 62% (1441/2324) Receiving objects: 63% (1465/2324) Receiving objects: 64% (1488/2324) Receiving objects: 65% (1511/2324) Receiving objects: 66% (1534/2324) Receiving objects: 67% (1558/2324) Receiving objects: 68% (1581/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 69% (1604/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 70% (1627/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 71% (1651/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 72% (1674/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 73% (1697/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 74% (1720/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 75% (1743/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 76% (1767/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 77% (1790/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 78% (1813/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 79% (1836/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 80% (1860/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 81% (1883/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 82% (1906/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 83% (1929/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 84% (1953/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 85% (1976/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 86% (1999/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 87% (2022/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 88% (2046/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 89% (2069/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 90% (2092/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 91% (2115/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 92% (2139/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 93% (2162/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 94% (2185/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 95% (2208/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 96% (2232/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 97% (2255/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 98% (2278/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 99% (2301/2324), 12.30 MiB | 24.54 MiB/s remote: Total 2324 (delta 1016), reused 1581 (delta 860), pack-reused 0 (from 0)
  6. 2.15 s Receiving objects: 100% (2324/2324), 12.30 MiB | 24.54 MiB/s Receiving objects: 100% (2324/2324), 15.69 MiB | 25.62 MiB/s, done.
  7. 2.17 s Resolving deltas: 0% (0/1016) Resolving deltas: 1% (11/1016) Resolving deltas: 2% (22/1016) Resolving deltas: 3% (31/1016) Resolving deltas: 4% (41/1016) Resolving deltas: 5% (51/1016) Resolving deltas: 6% (61/1016) Resolving deltas: 7% (72/1016) Resolving deltas: 8% (83/1016) Resolving deltas: 9% (92/1016) Resolving deltas: 10% (102/1016) Resolving deltas: 11% (112/1016) Resolving deltas: 12% (122/1016) Resolving deltas: 13% (133/1016) Resolving deltas: 14% (143/1016) Resolving deltas: 15% (153/1016) Resolving deltas: 16% (163/1016) Resolving deltas: 17% (173/1016) Resolving deltas: 18% (183/1016) Resolving deltas: 19% (194/1016) Resolving deltas: 20% (204/1016) Resolving deltas: 21% (214/1016) Resolving deltas: 22% (224/1016) Resolving deltas: 23% (234/1016) Resolving deltas: 24% (244/1016) Resolving deltas: 25% (254/1016) Resolving deltas: 26% (265/1016) Resolving deltas: 27% (275/1016) Resolving deltas: 28% (285/1016) Resolving deltas: 29% (295/1016) Resolving deltas: 30% (305/1016) Resolving deltas: 31% (315/1016) Resolving deltas: 32% (326/1016) Resolving deltas: 33% (336/1016) Resolving deltas: 34% (346/1016) Resolving deltas: 35% (356/1016) Resolving deltas: 36% (366/1016) Resolving deltas: 37% (376/1016) Resolving deltas: 38% (387/1016) Resolving deltas: 39% (397/1016) Resolving deltas: 40% (408/1016) Resolving deltas: 41% (417/1016) Resolving deltas: 42% (427/1016) Resolving deltas: 43% (437/1016) Resolving deltas: 44% (448/1016) Resolving deltas: 45% (458/1016) Resolving deltas: 46% (468/1016) Resolving deltas: 47% (478/1016) Resolving deltas: 48% (488/1016) Resolving deltas: 49% (498/1016) Resolving deltas: 50% (508/1016) Resolving deltas: 51% (519/1016) Resolving deltas: 52% (529/1016) Resolving deltas: 53% (539/1016) Resolving deltas: 54% (549/1016) Resolving deltas: 55% (559/1016) Resolving deltas: 56% (569/1016) Resolving deltas: 57% (580/1016) Resolving deltas: 58% (590/1016) Resolving deltas: 59% (600/1016) Resolving deltas: 60% (610/1016) Resolving deltas: 61% (620/1016) Resolving deltas: 62% (631/1016) Resolving deltas: 63% (641/1016) Resolving deltas: 64% (651/1016) Resolving deltas: 65% (661/1016) Resolving deltas: 66% (671/1016) Resolving deltas: 67% (681/1016) Resolving deltas: 68% (691/1016) Resolving deltas: 69% (702/1016) Resolving deltas: 70% (712/1016) Resolving deltas: 71% (722/1016) Resolving deltas: 72% (732/1016) Resolving deltas: 73% (742/1016) Resolving deltas: 74% (752/1016) Resolving deltas: 75% (762/1016) Resolving deltas: 76% (773/1016) Resolving deltas: 77% (783/1016) Resolving deltas: 78% (793/1016) Resolving deltas: 79% (803/1016) Resolving deltas: 80% (814/1016) Resolving deltas: 81% (823/1016) Resolving deltas: 82% (834/1016) Resolving deltas: 83% (844/1016) Resolving deltas: 84% (854/1016) Resolving deltas: 85% (864/1016) Resolving deltas: 86% (874/1016) Resolving deltas: 87% (884/1016) Resolving deltas: 88% (895/1016) Resolving deltas: 89% (905/1016) Resolving deltas: 90% (915/1016) Resolving deltas: 91% (925/1016) Resolving deltas: 92% (935/1016) Resolving deltas: 93% (945/1016) Resolving deltas: 94% (956/1016) Resolving deltas: 95% (966/1016) Resolving deltas: 96% (976/1016) Resolving deltas: 97% (986/1016) Resolving deltas: 98% (996/1016) Resolving deltas: 99% (1006/1016) Resolving deltas: 100% (1016/1016) Resolving deltas: 100% (1016/1016), done.
  8. 2.20 s From https://github.com/alphal00p/gammaloop
  9. 2.20 s * branch 569f030974292706581c3e7923f449512ca14b61 -> FETCH_HEAD
  10. 9.78 s {"attrPath":["checks","x86_64-linux","gammaloop"],"drvPath":"/nix/store/7rxv5xwrvn1x05nqlmrvf9hq2yhqfqfq-gammaloop-api-0.1.0.drv","isCached":false,"type":"job"}
  11. 10.43 s {"attrPath":["checks","x86_64-linux","gammaloop-check"],"drvPath":"/nix/store/c1qxg31jq42nj0jahg8rc4bxnjd0xfiz-gammaloop-workspace-check-0.1.0.drv","isCached":false,"type":"job"}
  12. 10.67 s {"attrPath":["checks","x86_64-linux","gammaloop-doc"],"drvPath":"/nix/store/gvzvrk9m1lila7mlqyhl24jny5a1fsmz-gammaloop-workspace-doc-0.1.0.drv","isCached":false,"type":"job"}
  13. 10.91 s {"attrPath":["checks","x86_64-linux","gammaloop-doctest"],"drvPath":"/nix/store/g7l771y0va07mpk7kp7cqagk7xpwimvp-gammaloop-workspace-doctest-0.1.0.drv","isCached":false,"type":"job"}
  14. 11.35 s {"attrPath":["checks","x86_64-linux","gammaloop-fmt"],"drvPath":"/nix/store/9qkkv0j0iv7xa52z3axnq4d1d1my4pja-gammaloop-workspace-fmt-0.1.0.drv","isCached":false,"type":"job"}
  15. 11.48 s {"attrPath":["checks","x86_64-linux","gammaloop-guppy-workspace-graph"],"drvPath":"/nix/store/qf1rm10cvl57jdzjzfgyphdjdi3bgwca-gammaloop-guppy-workspace-graph-check.drv","isCached":true,"type":"job"}
  16. 12.23 s {"attrPath":["checks","x86_64-linux","gammaloop-clippy"],"drvPath":"/nix/store/x60mv1ibdga62f6aa3is2kyvabn9ppxy-gammaloop-workspace-clippy-0.1.0.drv","isCached":false,"type":"job"}
  17. 19.15 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest"],"drvPath":"/nix/store/d53fm4b2dwk50nlz8kn2dyj68lqcg8ym-gammaloop-nextest.drv","isCached":false,"type":"job"}
  18. 19.15 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-clinnet"],"drvPath":"/nix/store/rqp0ip6ckjnmm9qak4sgn4nlgy0k57mc-gammaloop-nextest-binaries-clinnet.drv","isCached":true,"type":"job"}
  19. 19.37 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-core"],"drvPath":"/nix/store/c1am3jbys60yil3d6as4ajc6z47r1awc-gammaloop-nextest-binaries-core.drv","isCached":false,"type":"job"}
  20. 19.59 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-integration"],"drvPath":"/nix/store/45ddfasx5lya8vyyfzjbiasylb2wc1pr-gammaloop-nextest-binaries-integration.drv","isCached":false,"type":"job"}
  21. 19.83 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-python-api"],"drvPath":"/nix/store/w7838gds42jibc5l1azisrshab6mxi0x-gammaloop-nextest-binaries-python-api.drv","isCached":false,"type":"job"}
  22. 19.83 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-spenso"],"drvPath":"/nix/store/vncmgdnnk69ja47gy5q2amj69pm79dfc-gammaloop-nextest-binaries-spenso.drv","isCached":true,"type":"job"}
  23. 19.83 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-binaries-vakint"],"drvPath":"/nix/store/iv84xsim5fc8q197asaxgxkmxmzyx2nr-gammaloop-nextest-binaries-vakint.drv","isCached":true,"type":"job"}
  24. 19.83 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-clinnet"],"drvPath":"/nix/store/0f78s09i2bb942zixqdvvg8ggx4r211l-gammaloop-nextest-clinnet.drv","isCached":false,"type":"job"}
  25. 20.07 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-core"],"drvPath":"/nix/store/ilvh710avbbcnk18rqdm35a7jzxjqn2q-gammaloop-nextest-core.drv","isCached":false,"type":"job"}
  26. 20.31 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-integration"],"drvPath":"/nix/store/19bs9fb2lq5fxkbifw7bs2jy4w8mpp1w-gammaloop-nextest-integration.drv","isCached":false,"type":"job"}
  27. 20.31 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-linnet"],"drvPath":"/nix/store/ncxd7ly0dc386vl46qj3l12fl5pdhnaj-gammaloop-nextest-linnet.drv","isCached":false,"type":"job"}
  28. 20.53 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-python-api"],"drvPath":"/nix/store/6ybapcl4s5pgyfpdsh3k9nk5wq094kll-gammaloop-nextest-python-api.drv","isCached":false,"type":"job"}
  29. 20.53 s {"attrPath":["checks","x86_64-linux","gammaloop-nextest-spenso"],"drvPath":"/nix/store/hf2rdj2xgjxvs4bkmxm9805w4nc09j5a-gammaloop-nextest-spenso.drv","isCached":false,"type":"job"}
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  111. 30.77 s {"attrPath":["packages","x86_64-linux","crate-three-dimensional-reps"],"drvPath":"/nix/store/ncb245scwmz9bcrsynjrj7l3q101khdb-gammaloop-crate-three-dimensional-reps-build-0.1.0.drv","isCached":false,"type":"job"}
  112. 30.79 s {"attrPath":["packages","x86_64-linux","crate-test-dependencies-three-dimensional-reps"],"drvPath":"/nix/store/i2d9a35pcdni1bs913h7fwccd6zk7a79-nix-ci-artifact-barrier-crate-test-dependencies-three-dimensional-reps.drv","isCached":false,"type":"job"}
  113. 30.80 s {"attrPath":["packages","x86_64-linux","default"],"drvPath":"/nix/store/7rxv5xwrvn1x05nqlmrvf9hq2yhqfqfq-gammaloop-api-0.1.0.drv","isCached":false,"type":"job"}
  114. 30.80 s {"attrPath":["packages","x86_64-linux","gammaloop"],"drvPath":"/nix/store/7rxv5xwrvn1x05nqlmrvf9hq2yhqfqfq-gammaloop-api-0.1.0.drv","isCached":false,"type":"job"}
  115. 30.84 s {"attrPath":["packages","x86_64-linux","crate-vakint"],"drvPath":"/nix/store/3q9d3vi81xhvx38cn96zc5adcnzfwf2h-gammaloop-crate-vakint-build-0.1.0.drv","isCached":false,"type":"job"}
  116. 30.86 s {"attrPath":["packages","x86_64-linux","crate-test-dependencies-vakint"],"drvPath":"/nix/store/9k39zf4ji9dnvsm0plyi0a5dzgf2a03w-nix-ci-artifact-barrier-crate-test-dependencies-vakint.drv","isCached":false,"type":"job"}
  117. 31.07 s {"attrPath":["packages","x86_64-linux","gammaloop-llvm-coverage"],"drvPath":"/nix/store/cjqc5wvdmlyhrh8g6vhx7kvpx3hy2nab-gammaloop-workspace-llvm-cov-0.1.0.drv","isCached":false,"type":"job"}
  118. 31.08 s {"attrPath":["packages","x86_64-linux","gammaloopApiPackageArtifacts"],"drvPath":"/nix/store/lchz30zaiqisx3kk2fs0jxiq1b47zigj-nix-ci-artifact-barrier-gammaloop-api-package-artifacts.drv","isCached":false,"type":"job"}
  119. 31.30 s {"attrPath":["packages","x86_64-linux","linnest-wasm"],"drvPath":"/nix/store/yxjrfd8jgdj79mh1d5qxpkhrm4qnrr6w-linnest-wasm-0.1.0.drv","isCached":false,"type":"job"}
  120. 31.30 s {"attrPath":["packages","x86_64-linux","linnestWasmCargoArtifacts"],"drvPath":"/nix/store/dnc3wn76p4f122xyc54g58gg2ly0a9wp-nix-ci-artifact-barrier-linnest-wasm-cargo-artifacts.drv","isCached":false,"type":"job"}
  121. 31.75 s {"attrPath":["packages","x86_64-linux","crate-test-dependencies-gammaloop-tracing-filter"],"drvPath":"/nix/store/2p88g5f5887ks2l8v80h2w2lri962n9s-nix-ci-artifact-barrier-crate-test-dependencies-gammaloop-tracing-filter.drv","isCached":false,"type":"job"}
  122. 31.81 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest"],"drvPath":"/nix/store/hn4fwiiqkx83y4zhpa7rsn3068dqchmg-nix-ci-check-gammaloop-nextest.drv","isCached":false,"type":"job"}
  123. 31.82 s {"attrPath":["packages","x86_64-linux","gammaloop-python-module"],"drvPath":"/nix/store/fpcll7gbpq18slr17ib8dns268d74y16-nix-ci-artifact-barrier-gammaloop-python-module.drv","isCached":false,"type":"job"}
  124. 31.97 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"}
  125. 31.98 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-linnet"],"drvPath":"/nix/store/kndh54lwnjw0flg56gqyi8p5alp7xnaq-nix-ci-check-gammaloop-nextest-linnet.drv","isCached":true,"type":"job"}
  126. 32.05 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-core"],"drvPath":"/nix/store/zccj27i5ykw160fawk1208xakgwqg3g3-nix-ci-check-gammaloop-nextest-core.drv","isCached":false,"type":"job"}
  127. 32.07 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-spenso"],"drvPath":"/nix/store/yn9g64rfszphbdwrnyv8i0dfvssdz1cm-nix-ci-check-gammaloop-nextest-spenso.drv","isCached":true,"type":"job"}
  128. 32.07 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-vakint"],"drvPath":"/nix/store/p5g702fm552fsvfjkq5bbq57w2qvdvzi-nix-ci-check-gammaloop-nextest-vakint.drv","isCached":true,"type":"job"}
  129. 32.07 s {"attrPath":["packages","x86_64-linux","nix-ci-passed"],"drvPath":"/nix/store/fwyim5ygkbbsbgkhk5xjfd13dkldw2v5-nix-ci-passed.drv","isCached":true,"type":"job"}
  130. 32.27 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-python-api"],"drvPath":"/nix/store/lqp7hk0bq7y96awmraqwaflq5zspwxsv-nix-ci-check-gammaloop-nextest-python-api.drv","isCached":false,"type":"job"}
  131. 32.60 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-clinnet"],"drvPath":"/nix/store/5km4l7srzvv8h5zm65vpdc41sjqr18jd-nix-ci-check-gammaloop-nextest-clinnet.drv","isCached":true,"type":"job"}
  132. 32.71 s {"attrPath":["packages","x86_64-linux","workspaceBuildArtifacts"],"drvPath":"/nix/store/icnjk03ngfmra65xv52diw4pl2spa8wv-gammaloop-workspace-build-artifacts-build-0.1.0.drv","isCached":false,"type":"job"}
  133. 33.32 s {"attrPath":["packages","x86_64-linux","nix-ci-check-gammaloop-nextest-integration"],"drvPath":"/nix/store/l5gib2lidb27d49ljij7kww673xrxxks-nix-ci-check-gammaloop-nextest-integration.drv","isCached":false,"type":"job"}
  134. 33.49 s {"type":"done"}
  135. 33.50 s Discovered 124 buildables.
  136. 33.50 s Some of these were already built successfully before; we will skip those builds.
  137. 33.50 s Job discovery completed.
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