evaluate x86_64-linux

Queued Started Finished

Reproduce this run
  1. 0.00 s $ /nix/store/61685rbaxmpigwi3z23i33sv3jyfl70q-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=refs%2Fpull%2F75%2Fmerge&rev=27124064349500559b6ae8b8dd9d57b758ae1268 --system x86_64-linux
  2. 0.69 s remote: Enumerating objects: 553, done.
  3. 0.69 s remote: Counting objects: 0% (1/553) remote: Counting objects: 1% (6/553) remote: Counting objects: 2% (12/553) remote: Counting objects: 3% (17/553) remote: Counting objects: 4% (23/553) remote: Counting objects: 5% (28/553) remote: Counting objects: 6% (34/553) remote: Counting objects: 7% (39/553) remote: Counting objects: 8% (45/553) remote: Counting objects: 9% (50/553) remote: Counting objects: 10% (56/553) remote: Counting objects: 11% (61/553) remote: Counting objects: 12% (67/553) remote: Counting objects: 13% (72/553) remote: Counting objects: 14% (78/553) remote: Counting objects: 15% (83/553) remote: Counting objects: 16% (89/553) remote: Counting objects: 17% (95/553) remote: Counting objects: 18% (100/553) remote: Counting objects: 19% (106/553) remote: Counting objects: 20% (111/553) remote: Counting objects: 21% (117/553) remote: Counting objects: 22% (122/553) remote: Counting objects: 23% (128/553) remote: Counting objects: 24% (133/553) remote: Counting objects: 25% (139/553) remote: Counting objects: 26% (144/553) remote: Counting objects: 27% (150/553) remote: Counting objects: 28% (155/553) remote: Counting objects: 29% (161/553) remote: Counting objects: 30% (166/553) remote: Counting objects: 31% (172/553) remote: Counting objects: 32% (177/553) remote: Counting objects: 33% (183/553) remote: Counting objects: 34% (189/553) remote: Counting objects: 35% (194/553) remote: Counting objects: 36% (200/553) remote: Counting objects: 37% (205/553) remote: Counting objects: 38% (211/553) remote: Counting objects: 39% (216/553) remote: Counting objects: 40% (222/553) remote: Counting objects: 41% (227/553) remote: Counting objects: 42% (233/553) remote: Counting objects: 43% (238/553) remote: Counting objects: 44% (244/553) remote: Counting objects: 45% (249/553) remote: Counting objects: 46% (255/553) remote: Counting objects: 47% (260/553) remote: Counting objects: 48% (266/553) remote: Counting objects: 49% (271/553) remote: Counting objects: 50% (277/553) remote: Counting objects: 51% (283/553) remote: Counting objects: 52% (288/553) remote: Counting objects: 53% (294/553) remote: Counting objects: 54% (299/553) remote: Counting objects: 55% (305/553) remote: Counting objects: 56% (310/553) remote: Counting objects: 57% (316/553) remote: Counting objects: 58% (321/553) remote: Counting objects: 59% (327/553) remote: Counting objects: 60% (332/553) remote: Counting objects: 61% (338/553) remote: Counting objects: 62% (343/553) remote: Counting objects: 63% (349/553) remote: Counting objects: 64% (354/553) remote: Counting objects: 65% (360/553) remote: Counting objects: 66% (365/553) remote: Counting objects: 67% (371/553) remote: Counting objects: 68% (377/553) remote: Counting objects: 69% (382/553) remote: Counting objects: 70% (388/553) remote: Counting objects: 71% (393/553) remote: Counting objects: 72% (399/553) remote: Counting objects: 73% (404/553) remote: Counting objects: 74% (410/553) remote: Counting objects: 75% (415/553) remote: Counting objects: 76% (421/553) remote: Counting objects: 77% (426/553) remote: Counting objects: 78% (432/553) remote: Counting objects: 79% (437/553) remote: Counting objects: 80% (443/553) remote: Counting objects: 81% (448/553) remote: Counting objects: 82% (454/553) remote: Counting objects: 83% (459/553) remote: Counting objects: 84% (465/553) remote: Counting objects: 85% (471/553) remote: Counting objects: 86% (476/553) remote: Counting objects: 87% (482/553) remote: Counting objects: 88% (487/553) remote: Counting objects: 89% (493/553) remote: Counting objects: 90% (498/553) remote: Counting objects: 91% (504/553) remote: Counting objects: 92% (509/553) remote: Counting objects: 93% (515/553) remote: Counting objects: 94% (520/553) remote: Counting objects: 95% (526/553) remote: Counting objects: 96% (531/553) remote: Counting objects: 97% (537/553) remote: Counting objects: 98% (542/553) remote: Counting objects: 99% (548/553) remote: Counting objects: 100% (553/553) remote: Counting objects: 100% (553/553), done.
  4. 0.71 s remote: Compressing objects: 0% (1/316) remote: Compressing objects: 1% (4/316) remote: Compressing objects: 2% (7/316) remote: Compressing objects: 3% (10/316) remote: Compressing objects: 4% (13/316) remote: Compressing objects: 5% (16/316) remote: Compressing objects: 6% (19/316) remote: Compressing objects: 7% (23/316) remote: Compressing objects: 8% (26/316) remote: Compressing objects: 9% (29/316) remote: Compressing objects: 10% (32/316) remote: Compressing objects: 11% (35/316) remote: Compressing objects: 12% (38/316) remote: Compressing objects: 13% (42/316) remote: Compressing objects: 14% (45/316) remote: Compressing objects: 15% (48/316) remote: Compressing objects: 16% (51/316) remote: Compressing objects: 17% (54/316) remote: Compressing objects: 18% (57/316) remote: Compressing objects: 19% (61/316) remote: Compressing objects: 20% (64/316) remote: Compressing objects: 21% (67/316) remote: Compressing objects: 22% (70/316) remote: Compressing objects: 23% (73/316) remote: Compressing objects: 24% (76/316) remote: Compressing objects: 25% (79/316) remote: Compressing objects: 26% (83/316) remote: Compressing objects: 27% (86/316) remote: Compressing objects: 28% (89/316) remote: Compressing objects: 29% (92/316) remote: Compressing objects: 30% (95/316) remote: Compressing objects: 31% (98/316) remote: Compressing objects: 32% (102/316) remote: Compressing objects: 33% (105/316) remote: Compressing objects: 34% (108/316) remote: Compressing objects: 35% (111/316) remote: Compressing objects: 36% (114/316) remote: Compressing objects: 37% (117/316) remote: Compressing objects: 38% (121/316) remote: Compressing objects: 39% (124/316) remote: Compressing objects: 40% (127/316) remote: Compressing objects: 41% (130/316) remote: Compressing objects: 42% (133/316) remote: Compressing objects: 43% (136/316) remote: Compressing objects: 44% (140/316) remote: Compressing objects: 45% (143/316) remote: Compressing objects: 46% (146/316) remote: Compressing objects: 47% (149/316) remote: Compressing objects: 48% (152/316) remote: Compressing objects: 49% (155/316) remote: Compressing objects: 50% (158/316) remote: Compressing objects: 51% (162/316) remote: Compressing objects: 52% (165/316) remote: Compressing objects: 53% (168/316) remote: Compressing objects: 54% (171/316) remote: Compressing objects: 55% (174/316) remote: Compressing objects: 56% (177/316) remote: Compressing objects: 57% (181/316) remote: Compressing objects: 58% (184/316) remote: Compressing objects: 59% (187/316) remote: Compressing objects: 60% (190/316) remote: Compressing objects: 61% (193/316) remote: Compressing objects: 62% (196/316) remote: Compressing objects: 63% (200/316) remote: Compressing objects: 64% (203/316) remote: Compressing objects: 65% (206/316) remote: Compressing objects: 66% (209/316) remote: Compressing objects: 67% (212/316) remote: Compressing objects: 68% (215/316) remote: Compressing objects: 69% (219/316) remote: Compressing objects: 70% (222/316) remote: Compressing objects: 71% (225/316) remote: Compressing objects: 72% (228/316) remote: Compressing objects: 73% (231/316) remote: Compressing objects: 74% (234/316) remote: Compressing objects: 75% (237/316) remote: Compressing objects: 76% (241/316) remote: Compressing objects: 77% (244/316) remote: Compressing objects: 78% (247/316) remote: Compressing objects: 79% (250/316) remote: Compressing objects: 80% (253/316) remote: Compressing objects: 81% (256/316) remote: Compressing objects: 82% (260/316) remote: Compressing objects: 83% (263/316) remote: Compressing objects: 84% (266/316) remote: Compressing objects: 85% (269/316) remote: Compressing objects: 86% (272/316) remote: Compressing objects: 87% (275/316) remote: Compressing objects: 88% (279/316) remote: Compressing objects: 89% (282/316) remote: Compressing objects: 90% (285/316) remote: Compressing objects: 91% (288/316) remote: Compressing objects: 92% (291/316) remote: Compressing objects: 93% (294/316) remote: Compressing objects: 94% (298/316) remote: Compressing objects: 95% (301/316) remote: Compressing objects: 96% (304/316) remote: Compressing objects: 97% (307/316) remote: Compressing objects: 98% (310/316) remote: Compressing objects: 99% (313/316) remote: Compressing objects: 100% (316/316) remote: Compressing objects: 100% (316/316), done.
  5. 0.87 s Receiving objects: 0% (1/553) Receiving objects: 1% (6/553) Receiving objects: 2% (12/553) Receiving objects: 3% (17/553) Receiving objects: 4% (23/553) Receiving objects: 5% (28/553) Receiving objects: 6% (34/553) Receiving objects: 7% (39/553) Receiving objects: 8% (45/553) Receiving objects: 9% (50/553) Receiving objects: 10% (56/553) Receiving objects: 11% (61/553) Receiving objects: 12% (67/553) Receiving objects: 13% (72/553) Receiving objects: 14% (78/553) Receiving objects: 15% (83/553) Receiving objects: 16% (89/553) Receiving objects: 17% (95/553) Receiving objects: 18% (100/553) Receiving objects: 19% (106/553) Receiving objects: 20% (111/553) Receiving objects: 21% (117/553) Receiving objects: 22% (122/553) Receiving objects: 23% (128/553) Receiving objects: 24% (133/553) Receiving objects: 25% (139/553) Receiving objects: 26% (144/553) Receiving objects: 27% (150/553) Receiving objects: 28% (155/553) Receiving objects: 29% (161/553) Receiving objects: 30% (166/553) Receiving objects: 31% (172/553) Receiving objects: 32% (177/553) Receiving objects: 33% (183/553) Receiving objects: 34% (189/553) Receiving objects: 35% (194/553) Receiving objects: 36% (200/553) Receiving objects: 37% (205/553) Receiving objects: 38% (211/553) Receiving objects: 39% (216/553) Receiving objects: 40% (222/553) Receiving objects: 41% (227/553) Receiving objects: 42% (233/553) Receiving objects: 43% (238/553) Receiving objects: 44% (244/553) Receiving objects: 45% (249/553) Receiving objects: 46% (255/553) Receiving objects: 47% (260/553) Receiving objects: 48% (266/553) Receiving objects: 49% (271/553) Receiving objects: 50% (277/553) Receiving objects: 51% (283/553) Receiving objects: 52% (288/553) Receiving objects: 53% (294/553) Receiving objects: 54% (299/553) Receiving objects: 55% (305/553) Receiving objects: 56% (310/553) Receiving objects: 57% (316/553) Receiving objects: 58% (321/553) Receiving objects: 59% (327/553) Receiving objects: 60% (332/553) Receiving objects: 61% (338/553) Receiving objects: 62% (343/553) Receiving objects: 63% (349/553) Receiving objects: 64% (354/553) Receiving objects: 65% (360/553) Receiving objects: 66% (365/553) Receiving objects: 67% (371/553) Receiving objects: 68% (377/553) Receiving objects: 69% (382/553) Receiving objects: 70% (388/553) Receiving objects: 71% (393/553) Receiving objects: 72% (399/553) Receiving objects: 73% (404/553) Receiving objects: 74% (410/553) Receiving objects: 75% (415/553) Receiving objects: 76% (421/553) Receiving objects: 77% (426/553) Receiving objects: 78% (432/553) Receiving objects: 79% (437/553) Receiving objects: 80% (443/553) Receiving objects: 81% (448/553) Receiving objects: 82% (454/553) Receiving objects: 83% (459/553) Receiving objects: 84% (465/553) Receiving objects: 85% (471/553) remote: Total 553 (delta 222), reused 376 (delta 131), pack-reused 0 (from 0)
  6. 0.87 s Receiving objects: 86% (476/553) Receiving objects: 87% (482/553) Receiving objects: 88% (487/553) Receiving objects: 89% (493/553) Receiving objects: 90% (498/553) Receiving objects: 91% (504/553) Receiving objects: 92% (509/553) Receiving objects: 93% (515/553) Receiving objects: 94% (520/553) Receiving objects: 95% (526/553) Receiving objects: 96% (531/553) Receiving objects: 97% (537/553) Receiving objects: 98% (542/553) Receiving objects: 99% (548/553) Receiving objects: 100% (553/553) Receiving objects: 100% (553/553), 159.07 KiB | 10.60 MiB/s, done.
  7. 0.93 s Resolving deltas: 0% (0/222) Resolving deltas: 1% (3/222) Resolving deltas: 2% (5/222) Resolving deltas: 3% (8/222) Resolving deltas: 4% (9/222) Resolving deltas: 5% (12/222) Resolving deltas: 6% (14/222) Resolving deltas: 7% (16/222) Resolving deltas: 8% (18/222) Resolving deltas: 9% (20/222) Resolving deltas: 10% (23/222) Resolving deltas: 11% (25/222) Resolving deltas: 12% (27/222) Resolving deltas: 13% (29/222) Resolving deltas: 14% (32/222) Resolving deltas: 15% (34/222) Resolving deltas: 16% (36/222) Resolving deltas: 17% (38/222) Resolving deltas: 18% (40/222) Resolving deltas: 19% (43/222) Resolving deltas: 20% (45/222) Resolving deltas: 21% (47/222) Resolving deltas: 22% (49/222) Resolving deltas: 23% (52/222) Resolving deltas: 24% (54/222) Resolving deltas: 25% (56/222) Resolving deltas: 26% (58/222) Resolving deltas: 27% (60/222) Resolving deltas: 28% (63/222) Resolving deltas: 29% (65/222) Resolving deltas: 30% (67/222) Resolving deltas: 31% (69/222) Resolving deltas: 32% (72/222) Resolving deltas: 33% (74/222) Resolving deltas: 34% (76/222) Resolving deltas: 35% (78/222) Resolving deltas: 36% (80/222) Resolving deltas: 37% (83/222) Resolving deltas: 38% (85/222) Resolving deltas: 39% (87/222) Resolving deltas: 40% (89/222) Resolving deltas: 41% (92/222) Resolving deltas: 42% (94/222) Resolving deltas: 43% (96/222) Resolving deltas: 44% (98/222) Resolving deltas: 45% (101/222) Resolving deltas: 46% (103/222) Resolving deltas: 47% (105/222) Resolving deltas: 48% (107/222) Resolving deltas: 49% (109/222) Resolving deltas: 50% (111/222) Resolving deltas: 51% (114/222) Resolving deltas: 52% (116/222) Resolving deltas: 53% (118/222) Resolving deltas: 54% (121/222) Resolving deltas: 55% (123/222) Resolving deltas: 56% (125/222) Resolving deltas: 57% (127/222) Resolving deltas: 58% (129/222) Resolving deltas: 59% (131/222) Resolving deltas: 60% (134/222) Resolving deltas: 61% (136/222) Resolving deltas: 62% (138/222) Resolving deltas: 63% (140/222) Resolving deltas: 64% (143/222) Resolving deltas: 65% (145/222) Resolving deltas: 66% (147/222) Resolving deltas: 67% (149/222) Resolving deltas: 68% (151/222) Resolving deltas: 69% (154/222) Resolving deltas: 70% (156/222) Resolving deltas: 71% (159/222) Resolving deltas: 72% (160/222) Resolving deltas: 73% (163/222) Resolving deltas: 74% (165/222) Resolving deltas: 75% (167/222) Resolving deltas: 76% (170/222) Resolving deltas: 77% (171/222) Resolving deltas: 78% (174/222) Resolving deltas: 80% (178/222) Resolving deltas: 81% (180/222) Resolving deltas: 82% (183/222) Resolving deltas: 83% (185/222) Resolving deltas: 84% (187/222) Resolving deltas: 85% (189/222) Resolving deltas: 86% (191/222) Resolving deltas: 87% (194/222) Resolving deltas: 88% (196/222) Resolving deltas: 89% (198/222) Resolving deltas: 90% (200/222) Resolving deltas: 91% (203/222) Resolving deltas: 92% (205/222) Resolving deltas: 93% (207/222) Resolving deltas: 94% (209/222) Resolving deltas: 95% (211/222) Resolving deltas: 97% (216/222) Resolving deltas: 98% (219/222) Resolving deltas: 99% (220/222) Resolving deltas: 100% (222/222) Resolving deltas: 100% (222/222), done.
  8. 0.93 s From https://github.com/NorfairKing/autodocodec
  9. 0.93 s * branch 27124064349500559b6ae8b8dd9d57b758ae1268 -> FETCH_HEAD
  10. 1.78 s warning: redirecting to https://gitlab.horizon-haskell.net/nix/horizon-flake-parts.git/
  11. 61.81 s error: RPC failed; HTTP 504 curl 22 The requested URL returned error: 504
  12. 61.81 s fatal: expected flush after ref listing
  13. 61.82 s {"attrPath":["checks","x86_64-linux","forwardCompatibility"],"error":"error:\n … while evaluating the attribute 'horizon-advance.result'\n at «flakes-internal»/call-flake.nix:94:7:\n 93| {\n 94| result =\n | ^\n 95| if node.flake or true then\n\n … in the left operand of the update (//) operator\n at «flakes-internal»/call-flake.nix:75:9:\n 74| result =\n 75| outputs\n | ^\n 76| # We add the sourceInfo attribute for its metadata, as they are\n\n (stack trace truncated; use '--show-trace' to show the full, detailed trace)\n\n error: Failed to fetch git repository 'https://gitlab.horizon-haskell.net/nix/horizon-flake-parts'","type":"error"}
  14. 61.85 s
  15. 61.85 s Attribute checks.x86_64-linux.forwardCompatibility failed to evaluate:
  16. 61.85 s error:
  17. 61.85 s … while evaluating the attribute 'horizon-advance.result'
  18. 61.85 s at «flakes-internal»/call-flake.nix:94:7:
  19. 61.85 s 93| {
  20. 61.85 s 94| result =
  21. 61.85 s | ^
  22. 61.85 s 95| if node.flake or true then
  23. 61.85 s
  24. 61.85 s … in the left operand of the update (//) operator
  25. 61.85 s at «flakes-internal»/call-flake.nix:75:9:
  26. 61.85 s 74| result =
  27. 61.85 s 75| outputs
  28. 61.85 s | ^
  29. 61.85 s 76| # We add the sourceInfo attribute for its metadata, as they are
  30. 61.85 s
  31. 61.85 s (stack trace truncated; use '--show-trace' to show the full, detailed trace)
  32. 61.85 s
  33. 61.85 s error: Failed to fetch git repository 'https://gitlab.horizon-haskell.net/nix/horizon-flake-parts'
  34. 61.85 s Job discovery failed.
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