evaluate x86_64-linux

Reproduce this run
  1. 0.11 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/NorfairKing/autodocodec?ref=form-urlencoded&rev=75b77fbf1a9538cd659fca47d1ecdd61954ddab5 --system x86_64-linux
  2. 0.71 s remote: Enumerating objects: 551, done.
  3. 0.71 s remote: Counting objects: 0% (1/551) remote: Counting objects: 1% (6/551) remote: Counting objects: 2% (12/551) remote: Counting objects: 3% (17/551) remote: Counting objects: 4% (23/551) remote: Counting objects: 5% (28/551) remote: Counting objects: 6% (34/551) remote: Counting objects: 7% (39/551) remote: Counting objects: 8% (45/551) remote: Counting objects: 9% (50/551) remote: Counting objects: 10% (56/551) remote: Counting objects: 11% (61/551) remote: Counting objects: 12% (67/551) remote: Counting objects: 13% (72/551) remote: Counting objects: 14% (78/551) remote: Counting objects: 15% (83/551) remote: Counting objects: 16% (89/551) remote: Counting objects: 17% (94/551) remote: Counting objects: 18% (100/551) remote: Counting objects: 19% (105/551) remote: Counting objects: 20% (111/551) remote: Counting objects: 21% (116/551) remote: Counting objects: 22% (122/551) remote: Counting objects: 23% (127/551) remote: Counting objects: 24% (133/551) remote: Counting objects: 25% (138/551) remote: Counting objects: 26% (144/551) remote: Counting objects: 27% (149/551) remote: Counting objects: 28% (155/551) remote: Counting objects: 29% (160/551) remote: Counting objects: 30% (166/551) remote: Counting objects: 31% (171/551) remote: Counting objects: 32% (177/551) remote: Counting objects: 33% (182/551) remote: Counting objects: 34% (188/551) remote: Counting objects: 35% (193/551) remote: Counting objects: 36% (199/551) remote: Counting objects: 37% (204/551) remote: Counting objects: 38% (210/551) remote: Counting objects: 39% (215/551) remote: Counting objects: 40% (221/551) remote: Counting objects: 41% (226/551) remote: Counting objects: 42% (232/551) remote: Counting objects: 43% (237/551) remote: Counting objects: 44% (243/551) remote: Counting objects: 45% (248/551) remote: Counting objects: 46% (254/551) remote: Counting objects: 47% (259/551) remote: Counting objects: 48% (265/551) remote: Counting objects: 49% (270/551) remote: Counting objects: 50% (276/551) remote: Counting objects: 51% (282/551) remote: Counting objects: 52% (287/551) remote: Counting objects: 53% (293/551) remote: Counting objects: 54% (298/551) remote: Counting objects: 55% (304/551) remote: Counting objects: 56% (309/551) remote: Counting objects: 57% (315/551) remote: Counting objects: 58% (320/551) remote: Counting objects: 59% (326/551) remote: Counting objects: 60% (331/551) remote: Counting objects: 61% (337/551) remote: Counting objects: 62% (342/551) remote: Counting objects: 63% (348/551) remote: Counting objects: 64% (353/551) remote: Counting objects: 65% (359/551) remote: Counting objects: 66% (364/551) remote: Counting objects: 67% (370/551) remote: Counting objects: 68% (375/551) remote: Counting objects: 69% (381/551) remote: Counting objects: 70% (386/551) remote: Counting objects: 71% (392/551) remote: Counting objects: 72% (397/551) remote: Counting objects: 73% (403/551) remote: Counting objects: 74% (408/551) remote: Counting objects: 75% (414/551) remote: Counting objects: 76% (419/551) remote: Counting objects: 77% (425/551) remote: Counting objects: 78% (430/551) remote: Counting objects: 79% (436/551) remote: Counting objects: 80% (441/551) remote: Counting objects: 81% (447/551) remote: Counting objects: 82% (452/551) remote: Counting objects: 83% (458/551) remote: Counting objects: 84% (463/551) remote: Counting objects: 85% (469/551) remote: Counting objects: 86% (474/551) remote: Counting objects: 87% (480/551) remote: Counting objects: 88% (485/551) remote: Counting objects: 89% (491/551) remote: Counting objects: 90% (496/551) remote: Counting objects: 91% (502/551) remote: Counting objects: 92% (507/551) remote: Counting objects: 93% (513/551) remote: Counting objects: 94% (518/551) remote: Counting objects: 95% (524/551) remote: Counting objects: 96% (529/551) remote: Counting objects: 97% (535/551) remote: Counting objects: 98% (540/551) remote: Counting objects: 99% (546/551) remote: Counting objects: 100% (551/551) remote: Counting objects: 100% (551/551), done.
  4. 0.72 s remote: Compressing objects: 0% (1/318) remote: Compressing objects: 1% (4/318) remote: Compressing objects: 2% (7/318) remote: Compressing objects: 3% (10/318) remote: Compressing objects: 4% (13/318) remote: Compressing objects: 5% (16/318) remote: Compressing objects: 6% (20/318) remote: Compressing objects: 7% (23/318) remote: Compressing objects: 8% (26/318) remote: Compressing objects: 9% (29/318) remote: Compressing objects: 10% (32/318) remote: Compressing objects: 11% (35/318) remote: Compressing objects: 12% (39/318) remote: Compressing objects: 13% (42/318) remote: Compressing objects: 14% (45/318) remote: Compressing objects: 15% (48/318) remote: Compressing objects: 16% (51/318) remote: Compressing objects: 17% (55/318) remote: Compressing objects: 18% (58/318) remote: Compressing objects: 19% (61/318) remote: Compressing objects: 20% (64/318) remote: Compressing objects: 21% (67/318) remote: Compressing objects: 22% (70/318) remote: Compressing objects: 23% (74/318) remote: Compressing objects: 24% (77/318) remote: Compressing objects: 25% (80/318) remote: Compressing objects: 26% (83/318) remote: Compressing objects: 27% (86/318) remote: Compressing objects: 28% (90/318) remote: Compressing objects: 29% (93/318) remote: Compressing objects: 30% (96/318) remote: Compressing objects: 31% (99/318) remote: Compressing objects: 32% (102/318) remote: Compressing objects: 33% (105/318) remote: Compressing objects: 34% (109/318) remote: Compressing objects: 35% (112/318) remote: Compressing objects: 36% (115/318) remote: Compressing objects: 37% (118/318) remote: Compressing objects: 38% (121/318) remote: Compressing objects: 39% (125/318) remote: Compressing objects: 40% (128/318) remote: Compressing objects: 41% (131/318) remote: Compressing objects: 42% (134/318) remote: Compressing objects: 43% (137/318) remote: Compressing objects: 44% (140/318) remote: Compressing objects: 45% (144/318) remote: Compressing objects: 46% (147/318) remote: Compressing objects: 47% (150/318) remote: Compressing objects: 48% (153/318) remote: Compressing objects: 49% (156/318) remote: Compressing objects: 50% (159/318) remote: Compressing objects: 51% (163/318) remote: Compressing objects: 52% (166/318) remote: Compressing objects: 53% (169/318) remote: Compressing objects: 54% (172/318) remote: Compressing objects: 55% (175/318) remote: Compressing objects: 56% (179/318) remote: Compressing objects: 57% (182/318) remote: Compressing objects: 58% (185/318) remote: Compressing objects: 59% (188/318) remote: Compressing objects: 60% (191/318) remote: Compressing objects: 61% (194/318) remote: Compressing objects: 62% (198/318) remote: Compressing objects: 63% (201/318) remote: Compressing objects: 64% (204/318) remote: Compressing objects: 65% (207/318) remote: Compressing objects: 66% (210/318) remote: Compressing objects: 67% (214/318) remote: Compressing objects: 68% (217/318) remote: Compressing objects: 69% (220/318) remote: Compressing objects: 70% (223/318) remote: Compressing objects: 71% (226/318) remote: Compressing objects: 72% (229/318) remote: Compressing objects: 73% (233/318) remote: Compressing objects: 74% (236/318) remote: Compressing objects: 75% (239/318) remote: Compressing objects: 76% (242/318) remote: Compressing objects: 77% (245/318) remote: Compressing objects: 78% (249/318) remote: Compressing objects: 79% (252/318) remote: Compressing objects: 80% (255/318) remote: Compressing objects: 81% (258/318) remote: Compressing objects: 82% (261/318) remote: Compressing objects: 83% (264/318) remote: Compressing objects: 84% (268/318) remote: Compressing objects: 85% (271/318) remote: Compressing objects: 86% (274/318) remote: Compressing objects: 87% (277/318) remote: Compressing objects: 88% (280/318) remote: Compressing objects: 89% (284/318) remote: Compressing objects: 90% (287/318) remote: Compressing objects: 91% (290/318) remote: Compressing objects: 92% (293/318) remote: Compressing objects: 93% (296/318) remote: Compressing objects: 94% (299/318) remote: Compressing objects: 95% (303/318) remote: Compressing objects: 96% (306/318) remote: Compressing objects: 97% (309/318) remote: Compressing objects: 98% (312/318) remote: Compressing objects: 99% (315/318) remote: Compressing objects: 100% (318/318) remote: Compressing objects: 100% (318/318), done.
  5. 0.73 s Receiving objects: 0% (1/551) Receiving objects: 1% (6/551) Receiving objects: 2% (12/551) Receiving objects: 3% (17/551) Receiving objects: 4% (23/551) Receiving objects: 5% (28/551) Receiving objects: 6% (34/551) Receiving objects: 7% (39/551) Receiving objects: 8% (45/551) Receiving objects: 9% (50/551) Receiving objects: 10% (56/551) Receiving objects: 11% (61/551) Receiving objects: 12% (67/551) Receiving objects: 13% (72/551) Receiving objects: 14% (78/551) Receiving objects: 15% (83/551) Receiving objects: 16% (89/551) Receiving objects: 17% (94/551) Receiving objects: 18% (100/551) Receiving objects: 19% (105/551) Receiving objects: 20% (111/551) Receiving objects: 21% (116/551) Receiving objects: 22% (122/551) Receiving objects: 23% (127/551) Receiving objects: 24% (133/551) Receiving objects: 25% (138/551) Receiving objects: 26% (144/551) Receiving objects: 27% (149/551) Receiving objects: 28% (155/551) Receiving objects: 29% (160/551) Receiving objects: 30% (166/551) Receiving objects: 31% (171/551) Receiving objects: 32% (177/551) Receiving objects: 33% (182/551) Receiving objects: 34% (188/551) Receiving objects: 35% (193/551) Receiving objects: 36% (199/551) Receiving objects: 37% (204/551) Receiving objects: 38% (210/551) Receiving objects: 39% (215/551) Receiving objects: 40% (221/551) Receiving objects: 41% (226/551) Receiving objects: 42% (232/551) Receiving objects: 43% (237/551) Receiving objects: 44% (243/551) Receiving objects: 45% (248/551) Receiving objects: 46% (254/551) Receiving objects: 47% (259/551) Receiving objects: 48% (265/551) Receiving objects: 49% (270/551) Receiving objects: 50% (276/551) Receiving objects: 51% (282/551) Receiving objects: 52% (287/551) Receiving objects: 53% (293/551) Receiving objects: 54% (298/551) Receiving objects: 55% (304/551) Receiving objects: 56% (309/551) Receiving objects: 57% (315/551) Receiving objects: 58% (320/551) Receiving objects: 59% (326/551) Receiving objects: 60% (331/551) Receiving objects: 61% (337/551) Receiving objects: 62% (342/551) Receiving objects: 63% (348/551) Receiving objects: 64% (353/551) Receiving objects: 65% (359/551) Receiving objects: 66% (364/551) Receiving objects: 67% (370/551) Receiving objects: 68% (375/551) Receiving objects: 69% (381/551) Receiving objects: 70% (386/551) Receiving objects: 71% (392/551) Receiving objects: 72% (397/551) Receiving objects: 73% (403/551) Receiving objects: 74% (408/551) Receiving objects: 75% (414/551) Receiving objects: 76% (419/551) Receiving objects: 77% (425/551) Receiving objects: 78% (430/551) Receiving objects: 79% (436/551) Receiving objects: 80% (441/551) Receiving objects: 81% (447/551) Receiving objects: 82% (452/551) Receiving objects: 83% (458/551) Receiving objects: 84% (463/551) Receiving objects: 85% (469/551) Receiving objects: 86% (474/551) Receiving objects: 87% (480/551) Receiving objects: 88% (485/551) Receiving objects: 89% (491/551) Receiving objects: 90% (496/551) Receiving objects: 91% (502/551) Receiving objects: 92% (507/551) Receiving objects: 93% (513/551) Receiving objects: 94% (518/551) Receiving objects: 95% (524/551) Receiving objects: 96% (529/551) Receiving objects: 97% (535/551) Receiving objects: 98% (540/551) remote: Total 551 (delta 219), reused 378 (delta 128), pack-reused 0 (from 0)
  6. 0.74 s Receiving objects: 99% (546/551) Receiving objects: 100% (551/551) Receiving objects: 100% (551/551), 157.49 KiB | 10.50 MiB/s, done.
  7. 0.74 s Resolving deltas: 0% (0/219) Resolving deltas: 1% (3/219) Resolving deltas: 2% (5/219) Resolving deltas: 3% (7/219) Resolving deltas: 5% (11/219) Resolving deltas: 6% (14/219) Resolving deltas: 7% (16/219) Resolving deltas: 8% (18/219) Resolving deltas: 9% (20/219) Resolving deltas: 10% (22/219) Resolving deltas: 11% (25/219) Resolving deltas: 12% (27/219) Resolving deltas: 13% (29/219) Resolving deltas: 14% (31/219) Resolving deltas: 15% (33/219) Resolving deltas: 16% (36/219) Resolving deltas: 17% (39/219) Resolving deltas: 18% (40/219) Resolving deltas: 19% (42/219) Resolving deltas: 20% (44/219) Resolving deltas: 21% (46/219) Resolving deltas: 22% (49/219) Resolving deltas: 23% (51/219) Resolving deltas: 24% (53/219) Resolving deltas: 25% (55/219) Resolving deltas: 26% (57/219) Resolving deltas: 27% (60/219) Resolving deltas: 28% (62/219) Resolving deltas: 29% (64/219) Resolving deltas: 30% (66/219) Resolving deltas: 31% (68/219) Resolving deltas: 32% (71/219) Resolving deltas: 33% (73/219) Resolving deltas: 34% (75/219) Resolving deltas: 35% (77/219) Resolving deltas: 36% (79/219) Resolving deltas: 37% (82/219) Resolving deltas: 38% (84/219) Resolving deltas: 39% (86/219) Resolving deltas: 40% (88/219) Resolving deltas: 41% (90/219) Resolving deltas: 42% (92/219) Resolving deltas: 43% (95/219) Resolving deltas: 44% (97/219) Resolving deltas: 45% (99/219) Resolving deltas: 46% (102/219) Resolving deltas: 47% (103/219) Resolving deltas: 48% (106/219) Resolving deltas: 49% (109/219) Resolving deltas: 50% (110/219) Resolving deltas: 51% (112/219) Resolving deltas: 52% (114/219) Resolving deltas: 53% (117/219) Resolving deltas: 54% (119/219) Resolving deltas: 55% (121/219) Resolving deltas: 56% (123/219) Resolving deltas: 57% (125/219) Resolving deltas: 58% (128/219) Resolving deltas: 59% (130/219) Resolving deltas: 60% (132/219) Resolving deltas: 61% (134/219) Resolving deltas: 62% (137/219) Resolving deltas: 63% (139/219) Resolving deltas: 64% (141/219) Resolving deltas: 65% (143/219) Resolving deltas: 66% (145/219) Resolving deltas: 67% (147/219) Resolving deltas: 68% (149/219) Resolving deltas: 69% (152/219) Resolving deltas: 70% (154/219) Resolving deltas: 71% (156/219) Resolving deltas: 72% (158/219) Resolving deltas: 73% (161/219) Resolving deltas: 74% (163/219) Resolving deltas: 75% (165/219) Resolving deltas: 76% (167/219) Resolving deltas: 77% (169/219) Resolving deltas: 78% (172/219) Resolving deltas: 79% (174/219) Resolving deltas: 80% (176/219) Resolving deltas: 81% (178/219) Resolving deltas: 82% (180/219) Resolving deltas: 83% (182/219) Resolving deltas: 84% (184/219) Resolving deltas: 85% (187/219) Resolving deltas: 86% (189/219) Resolving deltas: 87% (191/219) Resolving deltas: 88% (193/219) Resolving deltas: 89% (195/219) Resolving deltas: 90% (198/219) Resolving deltas: 91% (200/219) Resolving deltas: 92% (202/219) Resolving deltas: 93% (204/219) Resolving deltas: 94% (206/219) Resolving deltas: 95% (209/219) Resolving deltas: 96% (211/219) Resolving deltas: 97% (214/219) Resolving deltas: 98% (215/219) Resolving deltas: 99% (217/219) Resolving deltas: 100% (219/219) Resolving deltas: 100% (219/219), done.
  8. 0.79 s From https://github.com/NorfairKing/autodocodec
  9. 0.79 s * branch 75b77fbf1a9538cd659fca47d1ecdd61954ddab5 -> FETCH_HEAD
  10. 3.10 s evaluation warning: haskellPackages.mkDerivation: testTarget is deprecated. Use testTargets instead
  11. 3.64 s {"attrPath":["checks","x86_64-linux","forwardCompatibility"],"drvPath":"/nix/store/dxpiz1w6fin7648yxiqv66z8fxv4fmfc-autodocodec-release.drv","isCached":true,"type":"job"}
  12. 5.41 s {"attrPath":["checks","x86_64-linux","nixpkgs-25_05"],"drvPath":"/nix/store/2brycx3p99qayay527mb3s486gd56nb1-autodocodec-release.drv","isCached":true,"type":"job"}
  13. 5.77 s {"attrPath":["checks","x86_64-linux","nixpkgs-25_11"],"drvPath":"/nix/store/j568z4la4h46n1bwa4ngp6r0yfchvng7-autodocodec-release.drv","isCached":true,"type":"job"}
  14. 7.38 s {"attrPath":["checks","x86_64-linux","release"],"drvPath":"/nix/store/0v0b3hm1df8lhjr8ds08b4fs9b70nqc3-autodocodec-release.drv","isCached":true,"type":"job"}
  15. 7.39 s {"attrPath":["packages","x86_64-linux","autodocodec"],"drvPath":"/nix/store/8mwsxkyklmr52jclm6q3ax0l9v6929d0-autodocodec-0.6.0.0.drv","isCached":true,"type":"job"}
  16. 7.44 s {"attrPath":["packages","x86_64-linux","autodocodec-api-usage"],"drvPath":"/nix/store/00n402m12mnbzhilx5ahwm7lh34hi4dx-autodocodec-api-usage-0.0.0.1.drv","isCached":true,"type":"job"}
  17. 7.45 s {"attrPath":["packages","x86_64-linux","autodocodec-exact"],"drvPath":"/nix/store/5x6jkfsrmw3k1akm0y5vg77g1zi0ijnh-autodocodec-exact-0.0.0.2.drv","isCached":true,"type":"job"}
  18. 7.70 s {"attrPath":["packages","x86_64-linux","autodocodec-http-api-data"],"drvPath":"/nix/store/capwg8m9wi1z3szhfc5pwrm28cpkfijf-autodocodec-http-api-data-0.0.0.0.drv","isCached":true,"type":"job"}
  19. 7.71 s {"attrPath":["packages","x86_64-linux","autodocodec-nix"],"drvPath":"/nix/store/1q0h6zx50ssp9fijrgbyy12xg2pw5y8i-autodocodec-nix-0.1.0.2.drv","isCached":true,"type":"job"}
  20. 7.71 s {"attrPath":["packages","x86_64-linux","autodocodec-openapi3"],"drvPath":"/nix/store/dfvfjwd2l176jn7dy26f8lg5gdgrlifn-autodocodec-openapi3-0.3.0.2.drv","isCached":true,"type":"job"}
  21. 7.72 s {"attrPath":["packages","x86_64-linux","autodocodec-schema"],"drvPath":"/nix/store/wyk7vyzi5n1gryzc40sxawmjvqainjbx-autodocodec-schema-0.2.0.2.drv","isCached":true,"type":"job"}
  22. 7.99 s {"attrPath":["packages","x86_64-linux","autodocodec-servant-multipart"],"drvPath":"/nix/store/01ridnix6yyla59g6xic1fb34msi6hgd-autodocodec-servant-multipart-0.0.0.4.drv","isCached":true,"type":"job"}
  23. 8.00 s {"attrPath":["packages","x86_64-linux","autodocodec-swagger2"],"drvPath":"/nix/store/0gbcwxagyixgq5aw4ci9y5yx9alvcq8h-autodocodec-swagger2-0.1.0.1.drv","isCached":true,"type":"job"}
  24. 8.01 s {"attrPath":["packages","x86_64-linux","autodocodec-yaml"],"drvPath":"/nix/store/1hnkfq1l52rdqhmf3pig0ijrbqhnp28m-autodocodec-yaml-0.4.0.3.drv","isCached":true,"type":"job"}
  25. 8.94 s {"attrPath":["checks","x86_64-linux","pre-commit"],"drvPath":"/nix/store/ba1anwycmxp79758k3p71n01jbhvbakg-pre-commit-run.drv","isCached":true,"type":"job"}
  26. 12.49 s {"attrPath":["devShells","x86_64-linux","default"],"drvPath":"/nix/store/fwb2rlawfiw1b7f9cajj62misbwdzsgi-autodocodec-shell.drv","isCached":true,"type":"job"}
  27. 12.96 s {"attrPath":["checks","x86_64-linux","release"],"dependencies":[["packages","x86_64-linux","autodocodec-api-usage"],["packages","x86_64-linux","autodocodec-servant-multipart"],["packages","x86_64-linux","autodocodec-swagger2"],["packages","x86_64-linux","autodocodec-yaml"],["packages","x86_64-linux","autodocodec-nix"],["packages","x86_64-linux","autodocodec-exact"],["packages","x86_64-linux","autodocodec"],["packages","x86_64-linux","autodocodec-http-api-data"],["packages","x86_64-linux","autodocodec-openapi3"],["packages","x86_64-linux","autodocodec-schema"]],"type":"dependency"}
  28. 12.96 s Discovered the following buildables.
  29. 12.96 s Some of these were already built successfully before; we will skip those builds.
  30. 13.57 s {"attrPath":["packages","x86_64-linux","autodocodec-schema"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
  31. 13.64 s {"attrPath":["packages","x86_64-linux","autodocodec-openapi3"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
  32. 13.72 s {"attrPath":["packages","x86_64-linux","autodocodec-http-api-data"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
  33. 14.20 s {"attrPath":["packages","x86_64-linux","autodocodec-exact"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
  34. 14.51 s {"attrPath":["packages","x86_64-linux","autodocodec-nix"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
  35. 14.59 s {"attrPath":["packages","x86_64-linux","autodocodec-yaml"],"dependencies":[["packages","x86_64-linux","autodocodec"],["packages","x86_64-linux","autodocodec-schema"]],"type":"dependency"}
  36. 14.90 s {"attrPath":["packages","x86_64-linux","autodocodec-swagger2"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
  37. 15.04 s {"attrPath":["packages","x86_64-linux","autodocodec-servant-multipart"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
  38. 15.25 s {"attrPath":["packages","x86_64-linux","autodocodec-api-usage"],"dependencies":[["packages","x86_64-linux","autodocodec-servant-multipart"],["packages","x86_64-linux","autodocodec-swagger2"],["packages","x86_64-linux","autodocodec-yaml"],["packages","x86_64-linux","autodocodec"],["packages","x86_64-linux","autodocodec-http-api-data"],["packages","x86_64-linux","autodocodec-openapi3"],["packages","x86_64-linux","autodocodec-schema"]],"type":"dependency"}
  39. 15.34 s {"attrPath":["packages","x86_64-linux","autodocodec-api-usage"],"dependencies":[["packages","x86_64-linux","autodocodec-nix"]],"type":"dependency"}
  40. 16.36 s {"attrPath":["devShells","x86_64-linux","default"],"dependencies":[["packages","x86_64-linux","autodocodec-yaml"],["packages","x86_64-linux","autodocodec-nix"],["packages","x86_64-linux","autodocodec"],["packages","x86_64-linux","autodocodec-schema"]],"type":"dependency"}
  41. 16.54 s {"type":"done"}
  42. 16.54 s Job discovery completed.
More Logs Raw Logs

Agent Instructions

Wait for completion, without logs:

curl --netrc -N https://staging.nix-ci.com/gh:NorfairKing:autodocodec/form-urlencoded/75b77fbf1a9538cd659fca47d1ecdd61954ddab5/ac3e8ce1-4f3b-41f3-ac5e-2afde0c99d71/wait

Latest logs, with timestamps (streams while running):

curl --netrc -N https://staging.nix-ci.com/gh:NorfairKing:autodocodec/form-urlencoded/75b77fbf1a9538cd659fca47d1ecdd61954ddab5/ac3e8ce1-4f3b-41f3-ac5e-2afde0c99d71/tail

All logs, with timestamps (available after completion):

curl --netrc https://staging.nix-ci.com/gh:NorfairKing:autodocodec/form-urlencoded/75b77fbf1a9538cd659fca47d1ecdd61954ddab5/ac3e8ce1-4f3b-41f3-ac5e-2afde0c99d71/logs

Raw logs, from the start (no timestamps):

curl --netrc -N https://staging.nix-ci.com/gh:NorfairKing:autodocodec/form-urlencoded/75b77fbf1a9538cd659fca47d1ecdd61954ddab5/ac3e8ce1-4f3b-41f3-ac5e-2afde0c99d71/raw-logs

Content types available for /logs and /tail (use Accept header):

Example:

curl --netrc -H "Accept: text/csv" https://staging.nix-ci.com/gh:NorfairKing:autodocodec/form-urlencoded/75b77fbf1a9538cd659fca47d1ecdd61954ddab5/ac3e8ce1-4f3b-41f3-ac5e-2afde0c99d71/logs

Reproduce locally: https://staging.nix-ci.com/gh:NorfairKing:autodocodec/form-urlencoded/75b77fbf1a9538cd659fca47d1ecdd61954ddab5/ac3e8ce1-4f3b-41f3-ac5e-2afde0c99d71/repro

This page is also available in machine-friendly formats. Request one with the Accept header:

For more instructions, fetch https://staging.nix-ci.com/instructions .