evaluate x86_64-linux

Reproduce this run
  1. 0.27 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/centjes?ref=lot-prices&rev=c3eaa43908546d91ad3fe8a22b284bc11a40b213 --system x86_64-linux
  2. 0.58 s remote: Enumerating objects: 952, done.
  3. 0.59 s remote: Counting objects: 0% (1/952) remote: Counting objects: 1% (10/952) remote: Counting objects: 2% (20/952) remote: Counting objects: 3% (29/952) remote: Counting objects: 4% (39/952) remote: Counting objects: 5% (48/952) remote: Counting objects: 6% (58/952) remote: Counting objects: 7% (67/952) remote: Counting objects: 8% (77/952) remote: Counting objects: 9% (86/952) remote: Counting objects: 10% (96/952) remote: Counting objects: 11% (105/952) remote: Counting objects: 12% (115/952) remote: Counting objects: 13% (124/952) remote: Counting objects: 14% (134/952) remote: Counting objects: 15% (143/952) remote: Counting objects: 16% (153/952) remote: Counting objects: 17% (162/952) remote: Counting objects: 18% (172/952) remote: Counting objects: 19% (181/952) remote: Counting objects: 20% (191/952) remote: Counting objects: 21% (200/952) remote: Counting objects: 22% (210/952) remote: Counting objects: 23% (219/952) remote: Counting objects: 24% (229/952) remote: Counting objects: 25% (238/952) remote: Counting objects: 26% (248/952) remote: Counting objects: 27% (258/952) remote: Counting objects: 28% (267/952) remote: Counting objects: 29% (277/952) remote: Counting objects: 30% (286/952) remote: Counting objects: 31% (296/952) remote: Counting objects: 32% (305/952) remote: Counting objects: 33% (315/952) remote: Counting objects: 34% (324/952) remote: Counting objects: 35% (334/952) remote: Counting objects: 36% (343/952) remote: Counting objects: 37% (353/952) remote: Counting objects: 38% (362/952) remote: Counting objects: 39% (372/952) remote: Counting objects: 40% (381/952) remote: Counting objects: 41% (391/952) remote: Counting objects: 42% (400/952) remote: Counting objects: 43% (410/952) remote: Counting objects: 44% (419/952) remote: Counting objects: 45% (429/952) remote: Counting objects: 46% (438/952) remote: Counting objects: 47% (448/952) remote: Counting objects: 48% (457/952) remote: Counting objects: 49% (467/952) remote: Counting objects: 50% (476/952) remote: Counting objects: 51% (486/952) remote: Counting objects: 52% (496/952) remote: Counting objects: 53% (505/952) remote: Counting objects: 54% (515/952) remote: Counting objects: 55% (524/952) remote: Counting objects: 56% (534/952) remote: Counting objects: 57% (543/952) remote: Counting objects: 58% (553/952) remote: Counting objects: 59% (562/952) remote: Counting objects: 60% (572/952) remote: Counting objects: 61% (581/952) remote: Counting objects: 62% (591/952) remote: Counting objects: 63% (600/952) remote: Counting objects: 64% (610/952) remote: Counting objects: 65% (619/952) remote: Counting objects: 66% (629/952) remote: Counting objects: 67% (638/952) remote: Counting objects: 68% (648/952) remote: Counting objects: 69% (657/952) remote: Counting objects: 70% (667/952) remote: Counting objects: 71% (676/952) remote: Counting objects: 72% (686/952) remote: Counting objects: 73% (695/952) remote: Counting objects: 74% (705/952) remote: Counting objects: 75% (714/952) remote: Counting objects: 76% (724/952) remote: Counting objects: 77% (734/952) remote: Counting objects: 78% (743/952) remote: Counting objects: 79% (753/952) remote: Counting objects: 80% (762/952) remote: Counting objects: 81% (772/952) remote: Counting objects: 82% (781/952) remote: Counting objects: 83% (791/952) remote: Counting objects: 84% (800/952) remote: Counting objects: 85% (810/952) remote: Counting objects: 86% (819/952) remote: Counting objects: 87% (829/952) remote: Counting objects: 88% (838/952) remote: Counting objects: 89% (848/952) remote: Counting objects: 90% (857/952) remote: Counting objects: 91% (867/952) remote: Counting objects: 92% (876/952) remote: Counting objects: 93% (886/952) remote: Counting objects: 94% (895/952) remote: Counting objects: 95% (905/952) remote: Counting objects: 96% (914/952) remote: Counting objects: 97% (924/952) remote: Counting objects: 98% (933/952) remote: Counting objects: 99% (943/952) remote: Counting objects: 100% (952/952) remote: Counting objects: 100% (952/952), done.
  4. 0.63 s remote: Compressing objects: 0% (1/682) remote: Compressing objects: 1% (7/682) remote: Compressing objects: 2% (14/682) remote: Compressing objects: 3% (21/682) remote: Compressing objects: 4% (28/682) remote: Compressing objects: 5% (35/682) remote: Compressing objects: 6% (41/682) remote: Compressing objects: 7% (48/682) remote: Compressing objects: 8% (55/682) remote: Compressing objects: 9% (62/682) remote: Compressing objects: 10% (69/682) remote: Compressing objects: 11% (76/682) remote: Compressing objects: 12% (82/682) remote: Compressing objects: 13% (89/682) remote: Compressing objects: 14% (96/682) remote: Compressing objects: 15% (103/682) remote: Compressing objects: 16% (110/682) remote: Compressing objects: 17% (116/682) remote: Compressing objects: 18% (123/682) remote: Compressing objects: 19% (130/682) remote: Compressing objects: 20% (137/682) remote: Compressing objects: 21% (144/682) remote: Compressing objects: 22% (151/682) remote: Compressing objects: 23% (157/682) remote: Compressing objects: 24% (164/682) remote: Compressing objects: 25% (171/682) remote: Compressing objects: 26% (178/682) remote: Compressing objects: 27% (185/682) remote: Compressing objects: 28% (191/682) remote: Compressing objects: 29% (198/682) remote: Compressing objects: 30% (205/682) remote: Compressing objects: 31% (212/682) remote: Compressing objects: 32% (219/682) remote: Compressing objects: 33% (226/682) remote: Compressing objects: 34% (232/682) remote: Compressing objects: 35% (239/682) remote: Compressing objects: 36% (246/682) remote: Compressing objects: 37% (253/682) remote: Compressing objects: 38% (260/682) remote: Compressing objects: 39% (266/682) remote: Compressing objects: 40% (273/682) remote: Compressing objects: 41% (280/682) remote: Compressing objects: 42% (287/682) remote: Compressing objects: 43% (294/682) remote: Compressing objects: 44% (301/682) remote: Compressing objects: 45% (307/682) remote: Compressing objects: 46% (314/682) remote: Compressing objects: 47% (321/682) remote: Compressing objects: 48% (328/682) remote: Compressing objects: 49% (335/682) remote: Compressing objects: 50% (341/682) remote: Compressing objects: 51% (348/682) remote: Compressing objects: 52% (355/682) remote: Compressing objects: 53% (362/682) remote: Compressing objects: 54% (369/682) remote: Compressing objects: 55% (376/682) remote: Compressing objects: 56% (382/682) remote: Compressing objects: 57% (389/682) remote: Compressing objects: 58% (396/682) remote: Compressing objects: 59% (403/682) remote: Compressing objects: 60% (410/682) remote: Compressing objects: 61% (417/682) remote: Compressing objects: 62% (423/682) remote: Compressing objects: 63% (430/682) remote: Compressing objects: 64% (437/682) remote: Compressing objects: 65% (444/682) remote: Compressing objects: 66% (451/682) remote: Compressing objects: 67% (457/682) remote: Compressing objects: 68% (464/682) remote: Compressing objects: 69% (471/682) remote: Compressing objects: 70% (478/682) remote: Compressing objects: 71% (485/682) remote: Compressing objects: 72% (492/682) remote: Compressing objects: 73% (498/682) remote: Compressing objects: 74% (505/682) remote: Compressing objects: 75% (512/682) remote: Compressing objects: 76% (519/682) remote: Compressing objects: 77% (526/682) remote: Compressing objects: 78% (532/682) remote: Compressing objects: 79% (539/682) remote: Compressing objects: 80% (546/682) remote: Compressing objects: 81% (553/682) remote: Compressing objects: 82% (560/682) remote: Compressing objects: 83% (567/682) remote: Compressing objects: 84% (573/682) remote: Compressing objects: 85% (580/682) remote: Compressing objects: 86% (587/682) remote: Compressing objects: 87% (594/682) remote: Compressing objects: 88% (601/682) remote: Compressing objects: 89% (607/682) remote: Compressing objects: 90% (614/682) remote: Compressing objects: 91% (621/682) remote: Compressing objects: 92% (628/682) remote: Compressing objects: 93% (635/682) remote: Compressing objects: 94% (642/682) remote: Compressing objects: 95% (648/682) remote: Compressing objects: 96% (655/682) remote: Compressing objects: 97% (662/682) remote: Compressing objects: 98% (669/682) remote: Compressing objects: 99% (676/682) remote: Compressing objects: 100% (682/682) remote: Compressing objects: 100% (682/682), done.
  5. 0.71 s Receiving objects: 0% (1/952) Receiving objects: 1% (10/952) Receiving objects: 2% (20/952) Receiving objects: 3% (29/952) Receiving objects: 4% (39/952) Receiving objects: 5% (48/952) Receiving objects: 6% (58/952) Receiving objects: 7% (67/952) Receiving objects: 8% (77/952) Receiving objects: 9% (86/952) Receiving objects: 10% (96/952) Receiving objects: 11% (105/952) Receiving objects: 12% (115/952) Receiving objects: 13% (124/952) Receiving objects: 14% (134/952) Receiving objects: 15% (143/952) Receiving objects: 16% (153/952) Receiving objects: 17% (162/952) Receiving objects: 18% (172/952) Receiving objects: 19% (181/952) Receiving objects: 20% (191/952) Receiving objects: 21% (200/952) Receiving objects: 22% (210/952) Receiving objects: 23% (219/952) Receiving objects: 24% (229/952) Receiving objects: 25% (238/952) Receiving objects: 26% (248/952) Receiving objects: 27% (258/952) Receiving objects: 28% (267/952) Receiving objects: 29% (277/952) Receiving objects: 30% (286/952) Receiving objects: 31% (296/952) Receiving objects: 32% (305/952) Receiving objects: 33% (315/952) Receiving objects: 34% (324/952) Receiving objects: 35% (334/952) Receiving objects: 36% (343/952) Receiving objects: 37% (353/952) Receiving objects: 38% (362/952) Receiving objects: 39% (372/952) Receiving objects: 40% (381/952) Receiving objects: 41% (391/952) Receiving objects: 42% (400/952) Receiving objects: 43% (410/952) Receiving objects: 44% (419/952) Receiving objects: 45% (429/952) Receiving objects: 46% (438/952) Receiving objects: 47% (448/952) Receiving objects: 48% (457/952) Receiving objects: 49% (467/952) Receiving objects: 50% (476/952) Receiving objects: 51% (486/952) Receiving objects: 52% (496/952) Receiving objects: 53% (505/952) Receiving objects: 54% (515/952) Receiving objects: 55% (524/952) Receiving objects: 56% (534/952) Receiving objects: 57% (543/952) Receiving objects: 58% (553/952) Receiving objects: 59% (562/952) Receiving objects: 60% (572/952) Receiving objects: 61% (581/952) Receiving objects: 62% (591/952) Receiving objects: 63% (600/952) Receiving objects: 64% (610/952) Receiving objects: 65% (619/952) Receiving objects: 66% (629/952) Receiving objects: 67% (638/952) Receiving objects: 68% (648/952) Receiving objects: 69% (657/952) Receiving objects: 70% (667/952) Receiving objects: 71% (676/952) Receiving objects: 72% (686/952) Receiving objects: 73% (695/952) Receiving objects: 74% (705/952) Receiving objects: 75% (714/952) Receiving objects: 76% (724/952) Receiving objects: 77% (734/952) Receiving objects: 78% (743/952) Receiving objects: 79% (753/952) Receiving objects: 80% (762/952) Receiving objects: 81% (772/952) Receiving objects: 82% (781/952) Receiving objects: 83% (791/952) Receiving objects: 84% (800/952) Receiving objects: 85% (810/952) Receiving objects: 86% (819/952) Receiving objects: 87% (829/952) Receiving objects: 88% (838/952) Receiving objects: 89% (848/952) Receiving objects: 90% (857/952) Receiving objects: 91% (867/952) Receiving objects: 92% (876/952) Receiving objects: 93% (886/952) Receiving objects: 94% (895/952) Receiving objects: 95% (905/952) Receiving objects: 96% (914/952) remote: Total 952 (delta 250), reused 551 (delta 106), pack-reused 0 (from 0)
  6. 0.71 s Receiving objects: 97% (924/952) Receiving objects: 98% (933/952) Receiving objects: 99% (943/952) Receiving objects: 100% (952/952) Receiving objects: 100% (952/952), 365.26 KiB | 4.81 MiB/s, done.
  7. 0.72 s Resolving deltas: 0% (0/250) Resolving deltas: 1% (3/250) Resolving deltas: 2% (5/250) Resolving deltas: 3% (8/250) Resolving deltas: 4% (10/250) Resolving deltas: 5% (13/250) Resolving deltas: 6% (15/250) Resolving deltas: 7% (18/250) Resolving deltas: 8% (20/250) Resolving deltas: 9% (23/250) Resolving deltas: 10% (25/250) Resolving deltas: 11% (28/250) Resolving deltas: 12% (30/250) Resolving deltas: 13% (33/250) Resolving deltas: 14% (35/250) Resolving deltas: 15% (38/250) Resolving deltas: 16% (41/250) Resolving deltas: 17% (43/250) Resolving deltas: 18% (45/250) Resolving deltas: 19% (48/250) Resolving deltas: 20% (50/250) Resolving deltas: 21% (53/250) Resolving deltas: 22% (55/250) Resolving deltas: 23% (58/250) Resolving deltas: 24% (60/250) Resolving deltas: 25% (63/250) Resolving deltas: 26% (66/250) Resolving deltas: 27% (68/250) Resolving deltas: 28% (70/250) Resolving deltas: 29% (73/250) Resolving deltas: 30% (75/250) Resolving deltas: 31% (78/250) Resolving deltas: 32% (80/250) Resolving deltas: 33% (83/250) Resolving deltas: 34% (85/250) Resolving deltas: 35% (88/250) Resolving deltas: 36% (90/250) Resolving deltas: 37% (93/250) Resolving deltas: 38% (95/250) Resolving deltas: 39% (98/250) Resolving deltas: 40% (100/250) Resolving deltas: 41% (103/250) Resolving deltas: 42% (105/250) Resolving deltas: 43% (108/250) Resolving deltas: 44% (110/250) Resolving deltas: 45% (113/250) Resolving deltas: 46% (115/250) Resolving deltas: 47% (118/250) Resolving deltas: 48% (120/250) Resolving deltas: 49% (124/250) Resolving deltas: 50% (125/250) Resolving deltas: 51% (128/250) Resolving deltas: 52% (130/250) Resolving deltas: 53% (133/250) Resolving deltas: 54% (137/250) Resolving deltas: 55% (138/250) Resolving deltas: 56% (140/250) Resolving deltas: 57% (143/250) Resolving deltas: 58% (145/250) Resolving deltas: 59% (149/250) Resolving deltas: 60% (150/250) Resolving deltas: 61% (153/250) Resolving deltas: 62% (155/250) Resolving deltas: 63% (158/250) Resolving deltas: 64% (161/250) Resolving deltas: 65% (163/250) Resolving deltas: 66% (165/250) Resolving deltas: 67% (169/250) Resolving deltas: 68% (170/250) Resolving deltas: 69% (173/250) Resolving deltas: 70% (175/250) Resolving deltas: 71% (178/250) Resolving deltas: 72% (180/250) Resolving deltas: 73% (183/250) Resolving deltas: 74% (185/250) Resolving deltas: 75% (188/250) Resolving deltas: 76% (190/250) Resolving deltas: 77% (193/250) Resolving deltas: 78% (195/250) Resolving deltas: 79% (198/250) Resolving deltas: 80% (201/250) Resolving deltas: 81% (203/250) Resolving deltas: 82% (205/250) Resolving deltas: 83% (208/250) Resolving deltas: 84% (210/250) Resolving deltas: 85% (213/250) Resolving deltas: 86% (215/250) Resolving deltas: 87% (218/250) Resolving deltas: 88% (221/250) Resolving deltas: 89% (223/250) Resolving deltas: 90% (225/250) Resolving deltas: 91% (228/250) Resolving deltas: 92% (230/250) Resolving deltas: 93% (233/250) Resolving deltas: 94% (235/250) Resolving deltas: 95% (239/250) Resolving deltas: 96% (240/250) Resolving deltas: 97% (243/250) Resolving deltas: 98% (245/250) Resolving deltas: 99% (248/250) Resolving deltas: 100% (250/250) Resolving deltas: 100% (250/250), done.
  8. 0.75 s From https://github.com/NorfairKing/centjes
  9. 0.75 s * branch c3eaa43908546d91ad3fe8a22b284bc11a40b213 -> FETCH_HEAD
  10. 2.50 s {"attrPath":["checks","x86_64-linux","coverage-report"],"drvPath":"/nix/store/j037j8p9mvnwh3xvblj86ayw3rpgbih4-test-coverage-report.drv","isCached":true,"type":"job"}
  11. 3.91 s {"attrPath":["checks","x86_64-linux","example-switzerland-taxes"],"drvPath":"/nix/store/33c75hjbsqg0sd18a2wdgcj9xnqsvlgb-taxes.drv","isCached":true,"type":"job"}
  12. 3.93 s {"attrPath":["checks","x86_64-linux","example-switzerland-vat"],"drvPath":"/nix/store/wfhhzcgr7bd1pvmmyx9ngy1jjzhi0xqp-vat.drv","isCached":true,"type":"job"}
  13. 6.25 s {"attrPath":["checks","x86_64-linux","package"],"drvPath":"/nix/store/qagm775qpi6mrjnc7qz3s2b02parykq5-centjes.drv","isCached":true,"type":"job"}
  14. 7.67 s {"attrPath":["checks","x86_64-linux","e2e-test"],"drvPath":"/nix/store/qmbg221rchkgaxy8r9gbiga3a36k06vv-vm-test-run-centjes-e2e-test.drv","isCached":true,"type":"job"}
  15. 7.78 s {"attrPath":["checks","x86_64-linux","vim-plugin"],"drvPath":"/nix/store/jcfi6kak0hz9g51pg2g73cilqk1qsl74-centjes-vim.drv","isCached":true,"type":"job"}
  16. 8.08 s {"attrPath":["checks","x86_64-linux","pre-commit"],"drvPath":"/nix/store/ylfa8chhjy242laq4h22naw2n4j5rpph-pre-commit-run.drv","isCached":false,"type":"job"}
  17. 8.19 s {"attrPath":["checks","x86_64-linux","weeder-check"],"drvPath":"/nix/store/8kbi15qxpv8cxciz7djfc9q2mxwb8893-weeder-check.drv","isCached":true,"type":"job"}
  18. 8.96 s {"attrPath":["packages","x86_64-linux","mutation-centjes"],"drvPath":"/nix/store/xl8jcizyil4plgh8x4z68zx0qhmpg1s4-centjes-mutation-check.drv","isCached":false,"type":"job"}
  19. 9.00 s {"attrPath":["checks","x86_64-linux","shell"],"drvPath":"/nix/store/aaz4n5sv86m9by9mfnsfjkn3q7z60q7m-centjes-shell.drv","isCached":true,"type":"job"}
  20. 9.51 s {"attrPath":["packages","x86_64-linux","mutation-centjes-diff"],"drvPath":"/nix/store/bfzj1if1csp29yzz8m155f7vkvjkj6km-centjes-mutation-diff.drv","isCached":false,"type":"job"}
  21. 11.48 s {"attrPath":["packages","x86_64-linux","default"],"drvPath":"/nix/store/qagm775qpi6mrjnc7qz3s2b02parykq5-centjes.drv","isCached":true,"type":"job"}
  22. 13.43 s {"attrPath":["devShells","x86_64-linux","default"],"drvPath":"/nix/store/aaz4n5sv86m9by9mfnsfjkn3q7z60q7m-centjes-shell.drv","isCached":true,"type":"job"}
  23. 14.01 s {"type":"done"}
  24. 14.03 s Discovered the following buildables.
  25. 14.03 s Some of these were already built successfully before; we will skip those builds.
  26. 15.25 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:centjes/lot-prices/c3eaa43908546d91ad3fe8a22b284bc11a40b213/3787dcc8-a43c-4c80-885c-180e9e4b7263/wait

Latest logs, with timestamps (streams while running):

curl --netrc -N https://staging.nix-ci.com/gh:NorfairKing:centjes/lot-prices/c3eaa43908546d91ad3fe8a22b284bc11a40b213/3787dcc8-a43c-4c80-885c-180e9e4b7263/tail

All logs, with timestamps (available after completion):

curl --netrc https://staging.nix-ci.com/gh:NorfairKing:centjes/lot-prices/c3eaa43908546d91ad3fe8a22b284bc11a40b213/3787dcc8-a43c-4c80-885c-180e9e4b7263/logs

Raw logs, from the start (no timestamps):

curl --netrc -N https://staging.nix-ci.com/gh:NorfairKing:centjes/lot-prices/c3eaa43908546d91ad3fe8a22b284bc11a40b213/3787dcc8-a43c-4c80-885c-180e9e4b7263/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:centjes/lot-prices/c3eaa43908546d91ad3fe8a22b284bc11a40b213/3787dcc8-a43c-4c80-885c-180e9e4b7263/logs

Reproduce locally: https://staging.nix-ci.com/gh:NorfairKing:centjes/lot-prices/c3eaa43908546d91ad3fe8a22b284bc11a40b213/3787dcc8-a43c-4c80-885c-180e9e4b7263/repro

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