configure

Queued Started Finished

Reproduce this run
  1. 0.10 s $ /nix/store/9ypz3flqsrl5xl495mm8h645gadjsxi1-coreutils-9.11/bin/timeout --kill-after=15s 7200s /nix/store/p6gjvnswdnw7sngaza9rhmfc1whaxhij-nix-ci-config-0.0.0/bin/nix-ci-config --flake git+https://github.com/NorfairKing/weeder?ref=self-weeding-port&rev=2bf1a30be7ca54bd34a4e4074c4172df30c3166b --forge-type github
  2. 1.23 s remote: Enumerating objects: 1000, done.
  3. 1.24 s remote: Counting objects: 0% (1/331) remote: Counting objects: 1% (4/331) remote: Counting objects: 2% (7/331) remote: Counting objects: 3% (10/331) remote: Counting objects: 4% (14/331) remote: Counting objects: 5% (17/331) remote: Counting objects: 6% (20/331) remote: Counting objects: 7% (24/331) remote: Counting objects: 8% (27/331) remote: Counting objects: 9% (30/331) remote: Counting objects: 10% (34/331) remote: Counting objects: 11% (37/331) remote: Counting objects: 12% (40/331) remote: Counting objects: 13% (44/331) remote: Counting objects: 14% (47/331) remote: Counting objects: 15% (50/331) remote: Counting objects: 16% (53/331) remote: Counting objects: 17% (57/331) remote: Counting objects: 18% (60/331) remote: Counting objects: 19% (63/331) remote: Counting objects: 20% (67/331) remote: Counting objects: 21% (70/331) remote: Counting objects: 22% (73/331) remote: Counting objects: 23% (77/331) remote: Counting objects: 24% (80/331) remote: Counting objects: 25% (83/331) remote: Counting objects: 26% (87/331) remote: Counting objects: 27% (90/331) remote: Counting objects: 28% (93/331) remote: Counting objects: 29% (96/331) remote: Counting objects: 30% (100/331) remote: Counting objects: 31% (103/331) remote: Counting objects: 32% (106/331) remote: Counting objects: 33% (110/331) remote: Counting objects: 34% (113/331) remote: Counting objects: 35% (116/331) remote: Counting objects: 36% (120/331) remote: Counting objects: 37% (123/331) remote: Counting objects: 38% (126/331) remote: Counting objects: 39% (130/331) remote: Counting objects: 40% (133/331) remote: Counting objects: 41% (136/331) remote: Counting objects: 42% (140/331) remote: Counting objects: 43% (143/331) remote: Counting objects: 44% (146/331) remote: Counting objects: 45% (149/331) remote: Counting objects: 46% (153/331) remote: Counting objects: 47% (156/331) remote: Counting objects: 48% (159/331) remote: Counting objects: 49% (163/331) remote: Counting objects: 50% (166/331) remote: Counting objects: 51% (169/331) remote: Counting objects: 52% (173/331) remote: Counting objects: 53% (176/331) remote: Counting objects: 54% (179/331) remote: Counting objects: 55% (183/331) remote: Counting objects: 56% (186/331) remote: Counting objects: 57% (189/331) remote: Counting objects: 58% (192/331) remote: Counting objects: 59% (196/331) remote: Counting objects: 60% (199/331) remote: Counting objects: 61% (202/331) remote: Counting objects: 62% (206/331) remote: Counting objects: 63% (209/331) remote: Counting objects: 64% (212/331) remote: Counting objects: 65% (216/331) remote: Counting objects: 66% (219/331) remote: Counting objects: 67% (222/331) remote: Counting objects: 68% (226/331) remote: Counting objects: 69% (229/331) remote: Counting objects: 70% (232/331) remote: Counting objects: 71% (236/331) remote: Counting objects: 72% (239/331) remote: Counting objects: 73% (242/331) remote: Counting objects: 74% (245/331) remote: Counting objects: 75% (249/331) remote: Counting objects: 76% (252/331) remote: Counting objects: 77% (255/331) remote: Counting objects: 78% (259/331) remote: Counting objects: 79% (262/331) remote: Counting objects: 80% (265/331) remote: Counting objects: 81% (269/331) remote: Counting objects: 82% (272/331) remote: Counting objects: 83% (275/331) remote: Counting objects: 84% (279/331) remote: Counting objects: 85% (282/331) remote: Counting objects: 86% (285/331) remote: Counting objects: 87% (288/331) remote: Counting objects: 88% (292/331) remote: Counting objects: 89% (295/331) remote: Counting objects: 90% (298/331) remote: Counting objects: 91% (302/331) remote: Counting objects: 92% (305/331) remote: Counting objects: 93% (308/331) remote: Counting objects: 94% (312/331) remote: Counting objects: 95% (315/331) remote: Counting objects: 96% (318/331) remote: Counting objects: 97% (322/331) remote: Counting objects: 98% (325/331) remote: Counting objects: 99% (328/331) remote: Counting objects: 100% (331/331) remote: Counting objects: 100% (331/331), done.
  4. 1.24 s remote: Compressing objects: 0% (1/168) remote: Compressing objects: 1% (2/168) remote: Compressing objects: 2% (4/168) remote: Compressing objects: 3% (6/168) remote: Compressing objects: 4% (7/168) remote: Compressing objects: 5% (9/168) remote: Compressing objects: 6% (11/168) remote: Compressing objects: 7% (12/168) remote: Compressing objects: 8% (14/168) remote: Compressing objects: 9% (16/168) remote: Compressing objects: 10% (17/168) remote: Compressing objects: 11% (19/168) remote: Compressing objects: 12% (21/168) remote: Compressing objects: 13% (22/168) remote: Compressing objects: 14% (24/168) remote: Compressing objects: 15% (26/168) remote: Compressing objects: 16% (27/168) remote: Compressing objects: 17% (29/168) remote: Compressing objects: 18% (31/168) remote: Compressing objects: 19% (32/168) remote: Compressing objects: 20% (34/168) remote: Compressing objects: 21% (36/168) remote: Compressing objects: 22% (37/168) remote: Compressing objects: 23% (39/168) remote: Compressing objects: 24% (41/168) remote: Compressing objects: 25% (42/168) remote: Compressing objects: 26% (44/168) remote: Compressing objects: 27% (46/168) remote: Compressing objects: 28% (48/168) remote: Compressing objects: 29% (49/168) remote: Compressing objects: 30% (51/168) remote: Compressing objects: 31% (53/168) remote: Compressing objects: 32% (54/168) remote: Compressing objects: 33% (56/168) remote: Compressing objects: 34% (58/168) remote: Compressing objects: 35% (59/168) remote: Compressing objects: 36% (61/168) remote: Compressing objects: 37% (63/168) remote: Compressing objects: 38% (64/168) remote: Compressing objects: 39% (66/168) remote: Compressing objects: 40% (68/168) remote: Compressing objects: 41% (69/168) remote: Compressing objects: 42% (71/168) remote: Compressing objects: 43% (73/168) remote: Compressing objects: 44% (74/168) remote: Compressing objects: 45% (76/168) remote: Compressing objects: 46% (78/168) remote: Compressing objects: 47% (79/168) remote: Compressing objects: 48% (81/168) remote: Compressing objects: 49% (83/168) remote: Compressing objects: 50% (84/168) remote: Compressing objects: 51% (86/168) remote: Compressing objects: 52% (88/168) remote: Compressing objects: 53% (90/168) remote: Compressing objects: 54% (91/168) remote: Compressing objects: 55% (93/168) remote: Compressing objects: 56% (95/168) remote: Compressing objects: 57% (96/168) remote: Compressing objects: 58% (98/168) remote: Compressing objects: 59% (100/168) remote: Compressing objects: 60% (101/168) remote: Compressing objects: 61% (103/168) remote: Compressing objects: 62% (105/168) remote: Compressing objects: 63% (106/168) remote: Compressing objects: 64% (108/168) remote: Compressing objects: 65% (110/168) remote: Compressing objects: 66% (111/168) remote: Compressing objects: 67% (113/168) remote: Compressing objects: 68% (115/168) remote: Compressing objects: 69% (116/168) remote: Compressing objects: 70% (118/168) remote: Compressing objects: 71% (120/168) remote: Compressing objects: 72% (121/168) remote: Compressing objects: 73% (123/168) remote: Compressing objects: 74% (125/168) remote: Compressing objects: 75% (126/168) remote: Compressing objects: 76% (128/168) remote: Compressing objects: 77% (130/168) remote: Compressing objects: 78% (132/168) remote: Compressing objects: 79% (133/168) remote: Compressing objects: 80% (135/168) remote: Compressing objects: 81% (137/168) remote: Compressing objects: 82% (138/168) remote: Compressing objects: 83% (140/168) remote: Compressing objects: 84% (142/168) remote: Compressing objects: 85% (143/168) remote: Compressing objects: 86% (145/168) remote: Compressing objects: 87% (147/168) remote: Compressing objects: 88% (148/168) remote: Compressing objects: 89% (150/168) remote: Compressing objects: 90% (152/168) remote: Compressing objects: 91% (153/168) remote: Compressing objects: 92% (155/168) remote: Compressing objects: 93% (157/168) remote: Compressing objects: 94% (158/168) remote: Compressing objects: 95% (160/168) remote: Compressing objects: 96% (162/168) remote: Compressing objects: 97% (163/168) remote: Compressing objects: 98% (165/168) remote: Compressing objects: 99% (167/168) remote: Compressing objects: 100% (168/168) remote: Compressing objects: 100% (168/168), done.
  5. 1.30 s Receiving objects: 0% (1/1000) Receiving objects: 1% (10/1000) Receiving objects: 2% (20/1000) Receiving objects: 3% (30/1000) Receiving objects: 4% (40/1000) Receiving objects: 5% (50/1000) Receiving objects: 6% (60/1000) Receiving objects: 7% (70/1000) Receiving objects: 8% (80/1000) Receiving objects: 9% (90/1000) Receiving objects: 10% (100/1000) Receiving objects: 11% (110/1000) Receiving objects: 12% (120/1000) Receiving objects: 13% (130/1000) Receiving objects: 14% (140/1000) Receiving objects: 15% (150/1000) Receiving objects: 16% (160/1000) Receiving objects: 17% (170/1000) Receiving objects: 18% (180/1000) Receiving objects: 19% (190/1000) Receiving objects: 20% (200/1000) Receiving objects: 21% (210/1000) Receiving objects: 22% (220/1000) Receiving objects: 23% (230/1000) Receiving objects: 24% (240/1000) Receiving objects: 25% (250/1000) Receiving objects: 26% (260/1000) Receiving objects: 27% (270/1000) Receiving objects: 28% (280/1000) Receiving objects: 29% (290/1000) Receiving objects: 30% (300/1000) Receiving objects: 31% (310/1000) Receiving objects: 32% (320/1000) Receiving objects: 33% (330/1000) Receiving objects: 34% (340/1000) Receiving objects: 35% (350/1000) Receiving objects: 36% (360/1000) Receiving objects: 37% (370/1000) Receiving objects: 38% (380/1000) Receiving objects: 39% (390/1000) Receiving objects: 40% (400/1000) Receiving objects: 41% (410/1000) Receiving objects: 42% (420/1000) Receiving objects: 43% (430/1000) Receiving objects: 44% (440/1000) Receiving objects: 45% (450/1000) Receiving objects: 46% (460/1000) Receiving objects: 47% (470/1000) Receiving objects: 48% (480/1000) Receiving objects: 49% (490/1000) Receiving objects: 50% (500/1000) Receiving objects: 51% (510/1000) Receiving objects: 52% (520/1000) Receiving objects: 53% (530/1000) Receiving objects: 54% (540/1000) Receiving objects: 55% (550/1000) Receiving objects: 56% (560/1000) Receiving objects: 57% (570/1000) Receiving objects: 58% (580/1000) Receiving objects: 59% (590/1000) Receiving objects: 60% (600/1000) Receiving objects: 61% (610/1000) Receiving objects: 62% (620/1000) Receiving objects: 63% (630/1000) Receiving objects: 64% (640/1000) Receiving objects: 65% (650/1000) Receiving objects: 66% (660/1000) Receiving objects: 67% (670/1000) Receiving objects: 68% (680/1000) Receiving objects: 69% (690/1000) Receiving objects: 70% (700/1000) Receiving objects: 71% (710/1000) Receiving objects: 72% (720/1000) Receiving objects: 73% (730/1000) Receiving objects: 74% (740/1000) Receiving objects: 75% (750/1000) Receiving objects: 76% (760/1000) Receiving objects: 77% (770/1000) Receiving objects: 78% (780/1000) Receiving objects: 79% (790/1000) Receiving objects: 80% (800/1000) Receiving objects: 81% (810/1000) Receiving objects: 82% (820/1000) Receiving objects: 83% (830/1000) Receiving objects: 84% (840/1000) Receiving objects: 85% (850/1000) Receiving objects: 86% (860/1000) Receiving objects: 87% (870/1000) Receiving objects: 88% (880/1000) Receiving objects: 89% (890/1000) Receiving objects: 90% (900/1000) Receiving objects: 91% (910/1000) Receiving objects: 92% (920/1000) Receiving objects: 93% (930/1000) Receiving objects: 94% (940/1000) Receiving objects: 95% (950/1000) Receiving objects: 96% (960/1000) remote: Total 1000 (delta 246), reused 183 (delta 158), pack-reused 669 (from 2)
  6. 1.30 s Receiving objects: 97% (970/1000) Receiving objects: 98% (980/1000) Receiving objects: 99% (990/1000) Receiving objects: 100% (1000/1000) Receiving objects: 100% (1000/1000), 255.75 KiB | 5.22 MiB/s, done.
  7. 1.30 s Resolving deltas: 0% (0/434) Resolving deltas: 1% (5/434) Resolving deltas: 2% (10/434) Resolving deltas: 3% (15/434) Resolving deltas: 4% (18/434) Resolving deltas: 5% (23/434) Resolving deltas: 6% (27/434) Resolving deltas: 7% (31/434) Resolving deltas: 8% (36/434) Resolving deltas: 9% (41/434) Resolving deltas: 10% (44/434) Resolving deltas: 11% (48/434) Resolving deltas: 12% (53/434) Resolving deltas: 13% (60/434) Resolving deltas: 14% (61/434) Resolving deltas: 15% (66/434) Resolving deltas: 16% (70/434) Resolving deltas: 17% (74/434) Resolving deltas: 18% (79/434) Resolving deltas: 19% (83/434) Resolving deltas: 20% (87/434) Resolving deltas: 21% (92/434) Resolving deltas: 22% (96/434) Resolving deltas: 23% (102/434) Resolving deltas: 24% (105/434) Resolving deltas: 25% (109/434) Resolving deltas: 26% (113/434) Resolving deltas: 27% (119/434) Resolving deltas: 28% (122/434) Resolving deltas: 29% (126/434) Resolving deltas: 30% (131/434) Resolving deltas: 31% (135/434) Resolving deltas: 32% (140/434) Resolving deltas: 33% (144/434) Resolving deltas: 34% (148/434) Resolving deltas: 35% (152/434) Resolving deltas: 36% (157/434) Resolving deltas: 37% (161/434) Resolving deltas: 38% (165/434) Resolving deltas: 39% (170/434) Resolving deltas: 40% (176/434) Resolving deltas: 41% (178/434) Resolving deltas: 42% (183/434) Resolving deltas: 43% (187/434) Resolving deltas: 44% (192/434) Resolving deltas: 45% (197/434) Resolving deltas: 46% (200/434) Resolving deltas: 47% (204/434) Resolving deltas: 48% (209/434) Resolving deltas: 49% (213/434) Resolving deltas: 50% (217/434) Resolving deltas: 51% (224/434) Resolving deltas: 52% (226/434) Resolving deltas: 53% (232/434) Resolving deltas: 54% (236/434) Resolving deltas: 55% (239/434) Resolving deltas: 56% (244/434) Resolving deltas: 57% (248/434) Resolving deltas: 58% (253/434) Resolving deltas: 59% (258/434) Resolving deltas: 60% (261/434) Resolving deltas: 61% (266/434) Resolving deltas: 62% (270/434) Resolving deltas: 63% (274/434) Resolving deltas: 64% (279/434) Resolving deltas: 65% (283/434) Resolving deltas: 66% (287/434) Resolving deltas: 67% (293/434) Resolving deltas: 68% (298/434) Resolving deltas: 69% (300/434) Resolving deltas: 70% (304/434) Resolving deltas: 71% (309/434) Resolving deltas: 72% (313/434) Resolving deltas: 73% (317/434) Resolving deltas: 74% (322/434) Resolving deltas: 75% (326/434) Resolving deltas: 76% (330/434) Resolving deltas: 77% (336/434) Resolving deltas: 78% (341/434) Resolving deltas: 79% (343/434) Resolving deltas: 80% (348/434) Resolving deltas: 81% (352/434) Resolving deltas: 82% (356/434) Resolving deltas: 83% (363/434) Resolving deltas: 84% (365/434) Resolving deltas: 85% (369/434) Resolving deltas: 86% (375/434) Resolving deltas: 87% (378/434) Resolving deltas: 88% (382/434) Resolving deltas: 89% (387/434) Resolving deltas: 90% (391/434) Resolving deltas: 91% (395/434) Resolving deltas: 92% (400/434) Resolving deltas: 93% (404/434) Resolving deltas: 94% (409/434) Resolving deltas: 95% (414/434) Resolving deltas: 96% (417/434) Resolving deltas: 97% (421/434) Resolving deltas: 98% (426/434) Resolving deltas: 99% (430/434) Resolving deltas: 100% (434/434) Resolving deltas: 100% (434/434), done.
  8. 1.33 s From https://github.com/NorfairKing/weeder
  9. 1.33 s * branch 2bf1a30be7ca54bd34a4e4074c4172df30c3166b -> FETCH_HEAD
  10. 1.89 s unpacking 'github:input-output-hk/haskell.nix/7ea60f43d7f104bd5764c11d566ce726b6a681ab?narHash=sha256-gTGsgdlXXwcsSgQxQkxcv1iOS90m8Xr8ze5i5BnCbo0%3D' into the Git cache...
  11. 5.40 s copying path '/nix/store/74lfbc16rmzimvz281rff8mv7mnbq42m-source' from 'https://cache.staging.nix-ci.com'...
  12. 6.15 s unpacking 'github:numtide/flake-utils/1ef2e671c3b0c19053962c07dbda38332dcebf26?narHash=sha256-uNRRNRKmJyCRC/8y1RqBkqWBLM034y4qN7EprSdmgyA%3D' into the Git cache...
  13. 6.50 s Read flake.nix over the forge file API in 2 request(s), then fetched the flake in full to evaluate its nix-ci output.
  14. 6.53 s No nix-ci configuration found, continuing with default configuration.
  15. 6.53 s
  16. 6.53 s WARNING: If you are seeing a 'Cannot find Git revision' failure in a show job, be sure to configure git-ssh-key in your nix-ci configuration file.
  17. 6.66 s Configuration accepted.

Effective configuration

What this suite's inherited settings came to, and what decided each of them.

How a setting is inherited

What to build

Build whichever system s the relevant workers are configured to build.

Only build: Everything

But exclude: Nothing

How to build

enable : true

Whether to run CI.

timeout : null

Maximum timeout, in seconds.

Note that the actual timeout may depend on the workers' configuration.

Set to null for a suite that runs without a timeout of its own.

allow-import-from-derivation : true

Allow import-from-derivation during evaluation.

shallow-clone : true

Fetch only the commit being built, not its whole history.

Set false for a flake that reads self.revCount, which has nothing to count without the history.

In-repo test and deploy jobs ignore this and fetch the whole history.

impure : false

Build with --impure

build-logs : true

Build with --print-build-logs

fail-fast : true

Cancel the rest of a suite once one job fails

auto-retry : true

Automatically retry every individual failed run in a suite once

fail-on-dangling-dependencies : false

Fail the build when a configured build dependency references a job that does not exist.

When false, such a dangling dependency is reported as a warning and ignored instead.

dependency-discovery : true

Dependency discovery configuration