0.10 s $ /nix/store/9ypz3flqsrl5xl495mm8h645gadjsxi1-coreutils-9.11/bin/timeout --kill-after=15s 7200s /nix/store/23zk8sgzamrbmj1fday15szf7f2279s8-nix-2.34.7/bin/nix --extra-experimental-features nix-command --extra-experimental-features flakes flake show git+https://github.com/NorfairKing/weeder?ref=self-weeding-port&rev=d6d2fccf2189e41a30ac4b4db6c42373951187ae --allow-import-from-derivation --print-build-logs --json --system x86_64-linux --log-format internal-json

0.12 s fetching Git repository 'https://github.com/NorfairKing/weeder'

0.53 s remote: Enumerating objects: 987, done.

0.53 s remote: Counting objects: 0% (1/318) remote: Counting objects: 1% (4/318) remote: Counting objects: 2% (7/318) remote: Counting objects: 3% (10/318) remote: Counting objects: 4% (13/318) remote: Counting objects: 5% (16/318) remote: Counting objects: 6% (20/318) remote: Counting objects: 7% (23/318) remote: Counting objects: 8% (26/318) remote: Counting objects: 9% (29/318) remote: Counting objects: 10% (32/318) remote: Counting objects: 11% (35/318) remote: Counting objects: 12% (39/318) remote: Counting objects: 13% (42/318) remote: Counting objects: 14% (45/318) remote: Counting objects: 15% (48/318) remote: Counting objects: 16% (51/318) remote: Counting objects: 17% (55/318) remote: Counting objects: 18% (58/318) remote: Counting objects: 19% (61/318) remote: Counting objects: 20% (64/318) remote: Counting objects: 21% (67/318) remote: Counting objects: 22% (70/318) remote: Counting objects: 23% (74/318) remote: Counting objects: 24% (77/318) remote: Counting objects: 25% (80/318) remote: Counting objects: 26% (83/318) remote: Counting objects: 27% (86/318) remote: Counting objects: 28% (90/318) remote: Counting objects: 29% (93/318) remote: Counting objects: 30% (96/318) remote: Counting objects: 31% (99/318) remote: Counting objects: 32% (102/318) remote: Counting objects: 33% (105/318) remote: Counting objects: 34% (109/318) remote: Counting objects: 35% (112/318) remote: Counting objects: 36% (115/318) remote: Counting objects: 37% (118/318) remote: Counting objects: 38% (121/318) remote: Counting objects: 39% (125/318) remote: Counting objects: 40% (128/318) remote: Counting objects: 41% (131/318) remote: Counting objects: 42% (134/318) remote: Counting objects: 43% (137/318) remote: Counting objects: 44% (140/318) remote: Counting objects: 45% (144/318) remote: Counting objects: 46% (147/318) remote: Counting objects: 47% (150/318) remote: Counting objects: 48% (153/318) remote: Counting objects: 49% (156/318) remote: Counting objects: 50% (159/318) remote: Counting objects: 51% (163/318) remote: Counting objects: 52% (166/318) remote: Counting objects: 53% (169/318) remote: Counting objects: 54% (172/318) remote: Counting objects: 55% (175/318) remote: Counting objects: 56% (179/318) remote: Counting objects: 57% (182/318) remote: Counting objects: 58% (185/318) remote: Counting objects: 59% (188/318) remote: Counting objects: 60% (191/318) remote: Counting objects: 61% (194/318) remote: Counting objects: 62% (198/318) remote: Counting objects: 63% (201/318) remote: Counting objects: 64% (204/318) remote: Counting objects: 65% (207/318) remote: Counting objects: 66% (210/318) remote: Counting objects: 67% (214/318) remote: Counting objects: 68% (217/318) remote: Counting objects: 69% (220/318) remote: Counting objects: 70% (223/318) remote: Counting objects: 71% (226/318) remote: Counting objects: 72% (229/318) remote: Counting objects: 73% (233/318) remote: Counting objects: 74% (236/318) remote: Counting objects: 75% (239/318) remote: Counting objects: 76% (242/318) remote: Counting objects: 77% (245/318) remote: Counting objects: 78% (249/318) remote: Counting objects: 79% (252/318) remote: Counting objects: 80% (255/318) remote: Counting objects: 81% (258/318) remote: Counting objects: 82% (261/318) remote: Counting objects: 83% (264/318) remote: Counting objects: 84% (268/318) remote: Counting objects: 85% (271/318) remote: Counting objects: 86% (274/318) remote: Counting objects: 87% (277/318) remote: Counting objects: 88% (280/318) remote: Counting objects: 89% (284/318) remote: Counting objects: 90% (287/318) remote: Counting objects: 91% (290/318) remote: Counting objects: 92% (293/318) remote: Counting objects: 93% (296/318) remote: Counting objects: 94% (299/318) remote: Counting objects: 95% (303/318) remote: Counting objects: 96% (306/318) remote: Counting objects: 97% (309/318) remote: Counting objects: 98% (312/318) remote: Counting objects: 99% (315/318) remote: Counting objects: 100% (318/318) remote: Counting objects: 100% (318/318), done.

0.54 s remote: Compressing objects: 0% , done.

1.30 s Receiving objects: 0% (1/987) Receiving objects: 1% (10/987) Receiving objects: 2% (20/987) Receiving objects: 3% (30/987) Receiving objects: 4% (40/987) Receiving objects: 5% (50/987) Receiving objects: 6% (60/987) Receiving objects: 7% (70/987) Receiving objects: 8% (79/987) Receiving objects: 9% (89/987) Receiving objects: 10% (99/987) Receiving objects: 11% (109/987) Receiving objects: 12% (119/987) Receiving objects: 13% (129/987) Receiving objects: 14% (139/987) Receiving objects: 15% (149/987) Receiving objects: 16% (158/987) Receiving objects: 17% (168/987) Receiving objects: 18% (178/987) Receiving objects: 19% (188/987) Receiving objects: 20% (198/987) Receiving objects: 21% (208/987) Receiving objects: 22% (218/987) Receiving objects: 23% (228/987) Receiving objects: 24% (237/987) Receiving objects: 25% (247/987) Receiving objects: 26% (257/987) Receiving objects: 27% (267/987) Receiving objects: 28% (277/987) Receiving objects: 29% (287/987) Receiving objects: 30% (297/987) Receiving objects: 31% (306/987) Receiving objects: 32% (316/987) Receiving objects: 33% (326/987) Receiving objects: 34% (336/987) Receiving objects: 35% (346/987) Receiving objects: 36% (356/987) Receiving objects: 37% (366/987) Receiving objects: 38% (376/987) Receiving objects: 39% (385/987) Receiving objects: 40% (395/987) Receiving objects: 41% (405/987) Receiving objects: 42% (415/987) Receiving objects: 43% (425/987) Receiving objects: 44% (435/987) Receiving objects: 45% (445/987) Receiving objects: 46% (455/987) Receiving objects: 47% (464/987) Receiving objects: 48% (474/987) Receiving objects: 49% (484/987) Receiving objects: 50% (494/987) Receiving objects: 51% (504/987) Receiving objects: 52% (514/987) Receiving objects: 53% (524/987) Receiving objects: 54% (533/987) Receiving objects: 55% (543/987) Receiving objects: 56% (553/987) Receiving objects: 57% (563/987) Receiving objects: 58% (573/987) Receiving objects: 59% (583/987) Receiving objects: 60% (593/987) Receiving objects: 61% (603/987) Receiving objects: 62% (612/987) Receiving objects: 63% (622/987) Receiving objects: 64% (632/987) Receiving objects: 65% (642/987) Receiving objects: 66% (652/987) Receiving objects: 67% (662/987) Receiving objects: 68% (672/987) Receiving objects: 69% (682/987) Receiving objects: 70% (691/987) Receiving objects: 71% (701/987) Receiving objects: 72% (711/987) Receiving objects: 73% (721/987) Receiving objects: 74% (731/987) Receiving objects: 75% (741/987) Receiving objects: 76% (751/987) Receiving objects: 77% (760/987) Receiving objects: 78% (770/987) Receiving objects: 79% (780/987) Receiving objects: 80% (790/987) Receiving objects: 81% (800/987) Receiving objects: 82% (810/987) Receiving objects: 83% (820/987) Receiving objects: 84% (830/987) remote: Total 987 (delta 241), reused 170 (delta 154), pack-reused 669 (from 2)

1.30 s Receiving objects: 85% (839/987) Receiving objects: 86% (849/987) Receiving objects: 87% (859/987) Receiving objects: 88% (869/987) Receiving objects: 89% (879/987) Receiving objects: 90% (889/987) Receiving objects: 91% (899/987) Receiving objects: 92% (909/987) Receiving objects: 93% (918/987) Receiving objects: 94% (928/987) Receiving objects: 95% (938/987) Receiving objects: 96% (948/987) Receiving objects: 97% (958/987) Receiving objects: 98% (968/987) Receiving objects: 99% (978/987) Receiving objects: 100% (987/987) Receiving objects: 100% (987/987), 252.23 KiB | 515.00 KiB/s, done.

2.00 s Resolving deltas: 0% (0/428) Resolving deltas: 1% (5/428) Resolving deltas: 2% (9/428) Resolving deltas: 3% (14/428) Resolving deltas: 4% (18/428) Resolving deltas: 5% (22/428) Resolving deltas: 6% (26/428) Resolving deltas: 7% (30/428) Resolving deltas: 8% (35/428) Resolving deltas: 9% (39/428) Resolving deltas: 10% (43/428) Resolving deltas: 11% (48/428) Resolving deltas: 12% (52/428) Resolving deltas: 13% (58/428) Resolving deltas: 14% (60/428) Resolving deltas: 15% (66/428) Resolving deltas: 16% (69/428) Resolving deltas: 17% (73/428) Resolving deltas: 18% (78/428) Resolving deltas: 19% (82/428) Resolving deltas: 20% (87/428) Resolving deltas: 21% (91/428) Resolving deltas: 22% (97/428) Resolving deltas: 23% (99/428) Resolving deltas: 24% (103/428) Resolving deltas: 25% (107/428) Resolving deltas: 26% (112/428) Resolving deltas: 27% (117/428) Resolving deltas: 28% (120/428) Resolving deltas: 29% (125/428) Resolving deltas: 30% (129/428) Resolving deltas: 31% (133/428) Resolving deltas: 32% (137/428) Resolving deltas: 33% (142/428) Resolving deltas: 34% (146/428) Resolving deltas: 35% (150/428) Resolving deltas: 36% (156/428) Resolving deltas: 37% (159/428) Resolving deltas: 38% (163/428) Resolving deltas: 39% (167/428) Resolving deltas: 40% (172/428) Resolving deltas: 41% (176/428) Resolving deltas: 42% (180/428) Resolving deltas: 43% (186/428) Resolving deltas: 44% (189/428) Resolving deltas: 45% (194/428) Resolving deltas: 46% (197/428) Resolving deltas: 47% (202/428) Resolving deltas: 48% (206/428) Resolving deltas: 49% (211/428) Resolving deltas: 50% (214/428) Resolving deltas: 51% (220/428) Resolving deltas: 52% (224/428) Resolving deltas: 53% (227/428) Resolving deltas: 54% (233/428) Resolving deltas: 55% (237/428) Resolving deltas: 56% (241/428) Resolving deltas: 57% (244/428) Resolving deltas: 58% (249/428) Resolving deltas: 59% (253/428) Resolving deltas: 60% (257/428) Resolving deltas: 61% (262/428) Resolving deltas: 62% (267/428) Resolving deltas: 63% (270/428) Resolving deltas: 64% (274/428) Resolving deltas: 65% (279/428) Resolving deltas: 66% (283/428) Resolving deltas: 67% (287/428) Resolving deltas: 68% (292/428) Resolving deltas: 69% (296/428) Resolving deltas: 70% (300/428) Resolving deltas: 71% (304/428) Resolving deltas: 72% (309/428) Resolving deltas: 73% (314/428) Resolving deltas: 74% (318/428) Resolving deltas: 75% (321/428) Resolving deltas: 76% (326/428) Resolving deltas: 77% (330/428) Resolving deltas: 78% (334/428) Resolving deltas: 79% (339/428) Resolving deltas: 80% (343/428) Resolving deltas: 81% (347/428) Resolving deltas: 82% (351/428) Resolving deltas: 83% (356/428) Resolving deltas: 84% (360/428) Resolving deltas: 85% (365/428) Resolving deltas: 86% (369/428) Resolving deltas: 87% (375/428) Resolving deltas: 88% (377/428) Resolving deltas: 89% (381/428) Resolving deltas: 90% (386/428) Resolving deltas: 91% (390/428) Resolving deltas: 92% (394/428) Resolving deltas: 93% (400/428) Resolving deltas: 94% (403/428) Resolving deltas: 95% (407/428) Resolving deltas: 96% (411/428) Resolving deltas: 97% (418/428) Resolving deltas: 98% (420/428) Resolving deltas: 99% (424/428) Resolving deltas: 100% (428/428) Resolving deltas: 100% (428/428), done.

2.05 s From https://github.com/NorfairKing/weeder

2.05 s * branch d6d2fccf2189e41a30ac4b4db6c42373951187ae -> FETCH_HEAD

2.10 s

15.66 s Downloading cached source from https://cache.staging.nix-ci.com

16.16 s Progress: 1 of 1 downloaded from cache

33.95 s trace: haskell-nix.haskellLib.cleanGit: /nix/store/m7lbh1cbrg2pkyifyps6vgc5ld7pgdai-source does not seem to be a git repository,