evaluate x86_64-linux
Queued
2 weeks ago
Started
2 weeks ago
Finished
2 weeks ago
0.01 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=8a3e6f81b370d2a659101762e92d83da58017e5e --system x86_64-linux
0.60 s
remote: Enumerating objects: 553, done.
0.60 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.
0.68 s
remote: Compressing objects: 0% (1/317)
remote: Compressing objects: 1% (4/317)
remote: Compressing objects: 2% (7/317)
remote: Compressing objects: 3% (10/317)
remote: Compressing objects: 4% (13/317)
remote: Compressing objects: 5% (16/317)
remote: Compressing objects: 6% (20/317)
remote: Compressing objects: 7% (23/317)
remote: Compressing objects: 8% (26/317)
remote: Compressing objects: 9% (29/317)
remote: Compressing objects: 10% (32/317)
remote: Compressing objects: 11% (35/317)
remote: Compressing objects: 12% (39/317)
remote: Compressing objects: 13% (42/317)
remote: Compressing objects: 14% (45/317)
remote: Compressing objects: 15% (48/317)
remote: Compressing objects: 16% (51/317)
remote: Compressing objects: 17% (54/317)
remote: Compressing objects: 18% (58/317)
remote: Compressing objects: 19% (61/317)
remote: Compressing objects: 20% (64/317)
remote: Compressing objects: 21% (67/317)
remote: Compressing objects: 22% (70/317)
remote: Compressing objects: 23% (73/317)
remote: Compressing objects: 24% (77/317)
remote: Compressing objects: 25% (80/317)
remote: Compressing objects: 26% (83/317)
remote: Compressing objects: 27% (86/317)
remote: Compressing objects: 28% (89/317)
remote: Compressing objects: 29% (92/317)
remote: Compressing objects: 30% (96/317)
remote: Compressing objects: 31% (99/317)
remote: Compressing objects: 32% (102/317)
remote: Compressing objects: 33% (105/317)
remote: Compressing objects: 34% (108/317)
remote: Compressing objects: 35% (111/317)
remote: Compressing objects: 36% (115/317)
remote: Compressing objects: 37% (118/317)
remote: Compressing objects: 38% (121/317)
remote: Compressing objects: 39% (124/317)
remote: Compressing objects: 40% (127/317)
remote: Compressing objects: 41% (130/317)
remote: Compressing objects: 42% (134/317)
remote: Compressing objects: 43% (137/317)
remote: Compressing objects: 44% (140/317)
remote: Compressing objects: 45% (143/317)
remote: Compressing objects: 46% (146/317)
remote: Compressing objects: 47% (149/317)
remote: Compressing objects: 48% (153/317)
remote: Compressing objects: 49% (156/317)
remote: Compressing objects: 50% (159/317)
remote: Compressing objects: 51% (162/317)
remote: Compressing objects: 52% (165/317)
remote: Compressing objects: 53% (169/317)
remote: Compressing objects: 54% (172/317)
remote: Compressing objects: 55% (175/317)
remote: Compressing objects: 56% (178/317)
remote: Compressing objects: 57% (181/317)
remote: Compressing objects: 58% (184/317)
remote: Compressing objects: 59% (188/317)
remote: Compressing objects: 60% (191/317)
remote: Compressing objects: 61% (194/317)
remote: Compressing objects: 62% (197/317)
remote: Compressing objects: 63% (200/317)
remote: Compressing objects: 64% (203/317)
remote: Compressing objects: 65% (207/317)
remote: Compressing objects: 66% (210/317)
remote: Compressing objects: 67% (213/317)
remote: Compressing objects: 68% (216/317)
remote: Compressing objects: 69% (219/317)
remote: Compressing objects: 70% (222/317)
remote: Compressing objects: 71% (226/317)
remote: Compressing objects: 72% (229/317)
remote: Compressing objects: 73% (232/317)
remote: Compressing objects: 74% (235/317)
remote: Compressing objects: 75% (238/317)
remote: Compressing objects: 76% (241/317)
remote: Compressing objects: 77% (245/317)
remote: Compressing objects: 78% (248/317)
remote: Compressing objects: 79% (251/317)
remote: Compressing objects: 80% (254/317)
remote: Compressing objects: 81% (257/317)
remote: Compressing objects: 82% (260/317)
remote: Compressing objects: 83% (264/317)
remote: Compressing objects: 84% (267/317)
remote: Compressing objects: 85% (270/317)
remote: Compressing objects: 86% (273/317)
remote: Compressing objects: 87% (276/317)
remote: Compressing objects: 88% (279/317)
remote: Compressing objects: 89% (283/317)
remote: Compressing objects: 90% (286/317)
remote: Compressing objects: 91% (289/317)
remote: Compressing objects: 92% (292/317)
remote: Compressing objects: 93% (295/317)
remote: Compressing objects: 94% (298/317)
remote: Compressing objects: 95% (302/317)
remote: Compressing objects: 96% (305/317)
remote: Compressing objects: 97% (308/317)
remote: Compressing objects: 98% (311/317)
remote: Compressing objects: 99% (314/317)
remote: Compressing objects: 100% (317/317)
remote: Compressing objects: 100% (317/317), done.
0.68 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 373 (delta 130), pack-reused 0 (from 0)
0.69 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), 159.29 KiB | 39.82 MiB/s, done.
0.69 s
Resolving deltas: 0% (0/222)
Resolving deltas: 1% (3/222)
Resolving deltas: 2% (6/222)
Resolving deltas: 3% (7/222)
Resolving deltas: 4% (10/222)
Resolving deltas: 5% (13/222)
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% (59/222)
Resolving deltas: 27% (60/222)
Resolving deltas: 28% (64/222)
Resolving deltas: 29% (65/222)
Resolving deltas: 30% (67/222)
Resolving deltas: 31% (69/222)
Resolving deltas: 32% (73/222)
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% (97/222)
Resolving deltas: 44% (98/222)
Resolving deltas: 45% (102/222)
Resolving deltas: 46% (103/222)
Resolving deltas: 47% (105/222)
Resolving deltas: 48% (107/222)
Resolving deltas: 49% (109/222)
Resolving deltas: 50% (112/222)
Resolving deltas: 51% (114/222)
Resolving deltas: 52% (116/222)
Resolving deltas: 53% (119/222)
Resolving deltas: 54% (120/222)
Resolving deltas: 55% (124/222)
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: 71% (158/222)
Resolving deltas: 72% (161/222)
Resolving deltas: 73% (163/222)
Resolving deltas: 74% (166/222)
Resolving deltas: 75% (167/222)
Resolving deltas: 76% (170/222)
Resolving deltas: 77% (171/222)
Resolving deltas: 78% (174/222)
Resolving deltas: 79% (176/222)
Resolving deltas: 81% (180/222)
Resolving deltas: 82% (183/222)
Resolving deltas: 83% (185/222)
Resolving deltas: 84% (187/222)
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% (210/222)
Resolving deltas: 95% (211/222)
Resolving deltas: 96% (214/222)
Resolving deltas: 97% (217/222)
Resolving deltas: 98% (218/222)
Resolving deltas: 99% (220/222)
Resolving deltas: 100% (222/222)
Resolving deltas: 100% (222/222), done.
0.79 s
From https://github.com/NorfairKing/autodocodec
0.79 s
* branch 8a3e6f81b370d2a659101762e92d83da58017e5e -> FETCH_HEAD
39.08 s
warning: redirecting to https://gitlab.horizon-haskell.net/nix/horizon-hoogle.git/
39.43 s
remote: Enumerating objects: 15, done.
39.43 s
remote: Counting objects: 6% (1/15)
remote: Counting objects: 13% (2/15)
remote: Counting objects: 20% (3/15)
remote: Counting objects: 26% (4/15)
remote: Counting objects: 33% (5/15)
remote: Counting objects: 40% (6/15)
remote: Counting objects: 46% (7/15)
remote: Counting objects: 53% (8/15)
remote: Counting objects: 60% (9/15)
remote: Counting objects: 66% (10/15)
remote: Counting objects: 73% (11/15)
remote: Counting objects: 80% (12/15)
remote: Counting objects: 86% (13/15)
remote: Counting objects: 93% (14/15)
remote: Counting objects: 100% (15/15)
remote: Counting objects: 100% (15/15), done.
39.43 s
remote: Compressing objects: 9% (1/11)
remote: Compressing objects: 18% (2/11)
remote: Compressing objects: 27% (3/11)
remote: Compressing objects: 36% (4/11)
remote: Compressing objects: 45% (5/11)
remote: Compressing objects: 54% (6/11)
remote: Compressing objects: 63% (7/11)
remote: Compressing objects: 72% (8/11)
remote: Compressing objects: 81% (9/11)
remote: Compressing objects: 90% (10/11)
remote: Compressing objects: 100% (11/11)
remote: Compressing objects: 100% (11/11), done.
39.43 s
remote: Total 15 (delta 0), reused 0 (delta 0), pack-reused 0 (from 0)
39.47 s
From https://gitlab.horizon-haskell.net/nix/horizon-hoogle
39.47 s
* branch b5f2fbdf92f55cb3c2b5ec5347d1b3c5d32abe07 -> FETCH_HEAD
40.73 s
warning: redirecting to https://gitlab.horizon-haskell.net/ghc/horizon-ghc.git/
41.07 s
remote: Enumerating objects: 14, done.
41.07 s
remote: Counting objects: 7% (1/14)
remote: Counting objects: 14% (2/14)
remote: Counting objects: 21% (3/14)
remote: Counting objects: 28% (4/14)
remote: Counting objects: 35% (5/14)
remote: Counting objects: 42% (6/14)
remote: Counting objects: 50% (7/14)
remote: Counting objects: 57% (8/14)
remote: Counting objects: 64% (9/14)
remote: Counting objects: 71% (10/14)
remote: Counting objects: 78% (11/14)
remote: Counting objects: 85% (12/14)
remote: Counting objects: 92% (13/14)
remote: Counting objects: 100% (14/14)
remote: Counting objects: 100% (14/14), done.
41.07 s
remote: Compressing objects: 8% (1/12)
remote: Compressing objects: 16% (2/12)
remote: Compressing objects: 25% (3/12)
remote: Compressing objects: 33% (4/12)
remote: Compressing objects: 41% (5/12)
remote: Compressing objects: 50% (6/12)
remote: Compressing objects: 58% (7/12)
remote: Compressing objects: 66% (8/12)
remote: Compressing objects: 75% (9/12)
remote: Compressing objects: 83% (10/12)
remote: Compressing objects: 91% (11/12)
remote: Compressing objects: 100% (12/12)
remote: Compressing objects: 100% (12/12), done.
41.07 s
remote: Total 14 (delta 0), reused 7 (delta 0), pack-reused 0 (from 0)
41.09 s
From https://gitlab.horizon-haskell.net/ghc/horizon-ghc
41.09 s
* branch 5b50ad5ac130a022f38777d4071c9047bb33e08a -> FETCH_HEAD
41.90 s
warning: redirecting to https://gitlab.horizon-haskell.net/nix/horizon-flake-parts.git/
42.21 s
remote: Enumerating objects: 26, done.
42.21 s
remote: Counting objects: 3% (1/26)
remote: Counting objects: 7% (2/26)
remote: Counting objects: 11% (3/26)
remote: Counting objects: 15% (4/26)
remote: Counting objects: 19% (5/26)
remote: Counting objects: 23% (6/26)
remote: Counting objects: 26% (7/26)
remote: Counting objects: 30% (8/26)
remote: Counting objects: 34% (9/26)
remote: Counting objects: 38% (10/26)
remote: Counting objects: 42% (11/26)
remote: Counting objects: 46% (12/26)
remote: Counting objects: 50% (13/26)
remote: Counting objects: 53% (14/26)
remote: Counting objects: 57% (15/26)
remote: Counting objects: 61% (16/26)
remote: Counting objects: 65% (17/26)
remote: Counting objects: 69% (18/26)
remote: Counting objects: 73% (19/26)
remote: Counting objects: 76% (20/26)
remote: Counting objects: 80% (21/26)
remote: Counting objects: 84% (22/26)
remote: Counting objects: 88% (23/26)
remote: Counting objects: 92% (24/26)
remote: Counting objects: 96% (25/26)
remote: Counting objects: 100% (26/26)
remote: Counting objects: 100% (26/26), done.
42.21 s
remote: Compressing objects: 4% (1/24)
remote: Compressing objects: 8% (2/24)
remote: Compressing objects: 12% (3/24)
remote: Compressing objects: 16% (4/24)
remote: Compressing objects: 20% (5/24)
remote: Compressing objects: 25% (6/24)
remote: Compressing objects: 29% (7/24)
remote: Compressing objects: 33% (8/24)
remote: Compressing objects: 37% (9/24)
remote: Compressing objects: 41% (10/24)
remote: Compressing objects: 45% (11/24)
remote: Compressing objects: 50% (12/24)
remote: Compressing objects: 54% (13/24)
remote: Compressing objects: 58% (14/24)
remote: Compressing objects: 62% (15/24)
remote: Compressing objects: 66% (16/24)
remote: Compressing objects: 70% (17/24)
remote: Compressing objects: 75% (18/24)
remote: Compressing objects: 79% (19/24)
remote: Compressing objects: 83% (20/24)
remote: Compressing objects: 87% (21/24)
remote: Compressing objects: 91% (22/24)
remote: Compressing objects: 95% (23/24)
remote: Compressing objects: 100% (24/24)
remote: Compressing objects: 100% (24/24), done.
42.21 s
remote: Total 26 (delta 1), reused 15 (delta 0), pack-reused 0 (from 0)
42.26 s
From https://gitlab.horizon-haskell.net/nix/horizon-flake-parts
42.26 s
* branch d2281b6cc2040ec1a5318de0d52e04e846a7f80d -> FETCH_HEAD
44.35 s
evaluation warning: haskellPackages.mkDerivation: testTarget is deprecated. Use testTargets instead
45.89 s
{"attrPath":["checks","x86_64-linux","forwardCompatibility"],"drvPath":"/nix/store/x4kzxy2d78pa42xisdkb1hgjskdp45f0-autodocodec-release.drv","isCached":false,"type":"job"}
45.91 s
copying path '/nix/store/3p306srz83h9z9v0ma9xcxb8y8cdxkxj-source' from 'https://cache.staging.nix-ci.com'...
46.27 s
copying path '/nix/store/cckbw1nrhmgbagsdbv976fb5wm3ssqcb-source' from 'https://cache.staging.nix-ci.com'...
59.42 s
{"attrPath":["checks","x86_64-linux","nixpkgs-25_05"],"drvPath":"/nix/store/i76w8cvjr4f89fckfjdqz63gsb2sp9va-autodocodec-release.drv","isCached":false,"type":"job"}
59.50 s
{"attrPath":["checks","x86_64-linux","nixpkgs-25_11"],"drvPath":"/nix/store/ls142ksd0cy2kg6mpgyzsm79a74qw7w0-autodocodec-release.drv","isCached":false,"type":"job"}
59.92 s
unpacking 'github:cachix/pre-commit-hooks.nix/3cfd774b0a530725a077e17354fbdb87ea1c4aad?narHash=sha256-PcRvlWayisPSjd0UcRQbhG8Oqw78AcPE6x872cPRHN8%3D' into the Git cache...
60.53 s
copying path '/nix/store/ngdfag0pfs1h54pbjs9ywah4zhqsphf1-source' from 'https://cache.staging.nix-ci.com'...
61.74 s
{"attrPath":["checks","x86_64-linux","release"],"drvPath":"/nix/store/hyi66w15ypc9dmnnigczzy0c1kxiq20m-autodocodec-release.drv","isCached":false,"type":"job"}
61.86 s
copying path '/nix/store/ngdfag0pfs1h54pbjs9ywah4zhqsphf1-source' from 'https://cache.staging.nix-ci.com'...
74.68 s
{"attrPath":["checks","x86_64-linux","pre-commit"],"drvPath":"/nix/store/ld949216cbf4qixf9amnpxvfyas5yd9v-pre-commit-run.drv","isCached":false,"type":"job"}
74.97 s
{"attrPath":["devShells","x86_64-linux","default"],"drvPath":"/nix/store/zjsbk009vg61slyp60ildlfm1sc2sirr-autodocodec-shell.drv","isCached":false,"type":"job"}
75.15 s
{"attrPath":["packages","x86_64-linux","autodocodec"],"drvPath":"/nix/store/iz9x6gmikc8rskb21lpy34yaa6v67l49-autodocodec-0.6.0.0.drv","isCached":true,"type":"job"}
75.89 s
{"attrPath":["packages","x86_64-linux","autodocodec-api-usage"],"drvPath":"/nix/store/gci7xqm95ph0dv4ag2n1s6gz4hrsg3wp-autodocodec-api-usage-0.0.0.1.drv","isCached":false,"type":"job"}
76.16 s
{"attrPath":["packages","x86_64-linux","autodocodec-exact"],"drvPath":"/nix/store/f2h3qbxd8x8dkdyxaybmidqyqkw2znz3-autodocodec-exact-0.0.0.2.drv","isCached":false,"type":"job"}
76.30 s
{"attrPath":["packages","x86_64-linux","autodocodec-nix"],"drvPath":"/nix/store/nh9mkribk01hsw6c8dla4ncmwmj0hdkz-autodocodec-nix-0.1.1.0.drv","isCached":true,"type":"job"}
76.78 s
{"attrPath":["packages","x86_64-linux","autodocodec-http-api-data"],"drvPath":"/nix/store/4582x5zzynaivm0sq4d8d4swhx3f7s5l-autodocodec-http-api-data-0.0.0.0.drv","isCached":false,"type":"job"}
76.82 s
{"attrPath":["packages","x86_64-linux","autodocodec-schema"],"drvPath":"/nix/store/qxlnszb2dx2ra019jifkhw7nasdzlnx9-autodocodec-schema-0.2.0.2.drv","isCached":true,"type":"job"}
77.31 s
{"attrPath":["packages","x86_64-linux","autodocodec-openapi3"],"drvPath":"/nix/store/k0wdw957idhapy9xxvcwz5jj6q375gl1-autodocodec-openapi3-0.3.0.2.drv","isCached":false,"type":"job"}
77.73 s
{"attrPath":["packages","x86_64-linux","autodocodec-servant-multipart"],"drvPath":"/nix/store/49ykzqbzxb7x49zsb2hn15vblrshcfkv-autodocodec-servant-multipart-0.0.0.4.drv","isCached":false,"type":"job"}
77.82 s
{"attrPath":["packages","x86_64-linux","autodocodec-yaml"],"drvPath":"/nix/store/cpghdamscvpbjxbl3kkbym8w63cbigga-autodocodec-yaml-0.4.0.3.drv","isCached":true,"type":"job"}
78.28 s
{"attrPath":["packages","x86_64-linux","autodocodec-swagger2"],"drvPath":"/nix/store/xlfkf4ak6p0q82mdx4180j278nsyl7h9-autodocodec-swagger2-0.1.0.1.drv","isCached":false,"type":"job"}
78.39 s
unpacking 'github:NorfairKing/release-to-hackage/75c9e8814fda13214a53d0b4c12630e46b21c87a?narHash=sha256-7cohMXWGhhkrtrJMFOSbA90zvJbOSekHuKP4a9/m4nA%3D' into the Git cache...
78.92 s
copying path '/nix/store/3q3nxq654mkwc8gdis90hm8y3ns17rdh-source' from 'https://cache.staging.nix-ci.com'...
88.72 s
{"attrPath":["packages","x86_64-linux","release-to-hackage"],"drvPath":"/nix/store/7rnfcifj9gp8li9ikpv483pd7cgpa7i4-release-to-hackage.drv","isCached":false,"type":"job"}
88.92 s
{"attrPath":["checks","x86_64-linux","release"],"dependencies":[["packages","x86_64-linux","autodocodec-http-api-data"],["packages","x86_64-linux","autodocodec-servant-multipart"],["packages","x86_64-linux","autodocodec-yaml"],["packages","x86_64-linux","autodocodec-exact"],["packages","x86_64-linux","autodocodec-api-usage"],["packages","x86_64-linux","autodocodec"],["packages","x86_64-linux","autodocodec-openapi3"],["packages","x86_64-linux","autodocodec-nix"],["packages","x86_64-linux","autodocodec-schema"],["packages","x86_64-linux","autodocodec-swagger2"]],"type":"dependency"}
88.92 s
Discovered 17 buildables.
88.92 s
Some of these were already built successfully before; we will skip those builds.
88.92 s
{"attrPath":["packages","x86_64-linux","autodocodec-swagger2"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
88.97 s
{"attrPath":["packages","x86_64-linux","autodocodec-schema"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
88.97 s
{"attrPath":["packages","x86_64-linux","autodocodec-nix"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
88.97 s
{"attrPath":["packages","x86_64-linux","autodocodec-openapi3"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
88.98 s
{"attrPath":["packages","x86_64-linux","autodocodec-api-usage"],"dependencies":[["packages","x86_64-linux","autodocodec-http-api-data"],["packages","x86_64-linux","autodocodec-servant-multipart"],["packages","x86_64-linux","autodocodec-yaml"],["packages","x86_64-linux","autodocodec"],["packages","x86_64-linux","autodocodec-openapi3"],["packages","x86_64-linux","autodocodec-schema"],["packages","x86_64-linux","autodocodec-swagger2"]],"type":"dependency"}
89.00 s
{"attrPath":["packages","x86_64-linux","autodocodec-exact"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
89.00 s
{"attrPath":["packages","x86_64-linux","autodocodec-yaml"],"dependencies":[["packages","x86_64-linux","autodocodec"],["packages","x86_64-linux","autodocodec-schema"]],"type":"dependency"}
89.00 s
{"attrPath":["packages","x86_64-linux","autodocodec-api-usage"],"dependencies":[["packages","x86_64-linux","autodocodec-nix"]],"type":"dependency"}
89.00 s
{"attrPath":["packages","x86_64-linux","autodocodec-servant-multipart"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
89.00 s
{"attrPath":["packages","x86_64-linux","autodocodec-http-api-data"],"dependencies":[["packages","x86_64-linux","autodocodec"]],"type":"dependency"}
89.22 s
{"attrPath":["devShells","x86_64-linux","default"],"dependencies":[["packages","x86_64-linux","autodocodec-yaml"],["packages","x86_64-linux","autodocodec"],["packages","x86_64-linux","autodocodec-nix"],["packages","x86_64-linux","autodocodec-schema"]],"type":"dependency"}
89.23 s
{"attrPath":["packages","x86_64-linux","release-to-hackage"],"dependencies":[["packages","x86_64-linux","autodocodec"],["packages","x86_64-linux","autodocodec-schema"]],"type":"dependency"}
89.29 s
{"type":"done"}
89.33 s
Job discovery completed.