build packages.x86_64-linux.backend

Reproduce this run
  1. 0.01 s $ /nix/store/wkkwxc04gdw6b263l1h29pjarjnjdyb6-coreutils-9.8/bin/timeout --kill-after=15s 1800s /nix/store/vnjf0zi1lbln0srm2z743j70kjav76ln-nix-2.34.4/bin/nix --extra-experimental-features nix-command --extra-experimental-features flakes build --no-link git+https://codeberg.org/mtlynch/little-moments?ref=design-improve&rev=72cf1343c76d5039e5d933c5ec3a28d92129fbb7#packages.x86_64-linux.backend --print-build-logs
  2. 0.25 s remote: Enumerating objects: 1038, done.
  3. 0.25 s remote: Counting objects: 0% (1/1038) remote: Counting objects: 1% (11/1038) remote: Counting objects: 2% (21/1038) remote: Counting objects: 3% (32/1038) remote: Counting objects: 4% (42/1038) remote: Counting objects: 5% (52/1038) remote: Counting objects: 6% (63/1038) remote: Counting objects: 7% (73/1038) remote: Counting objects: 8% (84/1038) remote: Counting objects: 9% (94/1038) remote: Counting objects: 10% (104/1038) remote: Counting objects: 11% (115/1038) remote: Counting objects: 12% (125/1038) remote: Counting objects: 13% (135/1038) remote: Counting objects: 14% (146/1038) remote: Counting objects: 15% (156/1038) remote: Counting objects: 16% (167/1038) remote: Counting objects: 17% (177/1038) remote: Counting objects: 18% (187/1038) remote: Counting objects: 19% (198/1038) remote: Counting objects: 20% (208/1038) remote: Counting objects: 21% (218/1038) remote: Counting objects: 22% (229/1038) remote: Counting objects: 23% (239/1038) remote: Counting objects: 24% (250/1038) remote: Counting objects: 25% (260/1038)
  4. 0.25 s remote: Counting objects: 26% (270/1038) remote: Counting objects: 27% (281/1038) remote: Counting objects: 28% (291/1038) remote: Counting objects: 29% (302/1038) remote: Counting objects: 30% (312/1038) remote: Counting objects: 31% (322/1038) remote: Counting objects: 32% (333/1038) remote: Counting objects: 33% (343/1038) remote: Counting objects: 34% (353/1038) remote: Counting objects: 35% (364/1038)
  5. 0.26 s remote: Counting objects: 36% (374/1038) remote: Counting objects: 37% (385/1038)
  6. 0.26 s remote: Counting objects: 38% (395/1038) remote: Counting objects: 39% (405/1038)
  7. 0.26 s remote: Counting objects: 40% (416/1038) remote: Counting objects: 41% (426/1038) remote: Counting objects: 42% (436/1038) remote: Counting objects: 43% (447/1038) remote: Counting objects: 44% (457/1038) remote: Counting objects: 45% (468/1038) remote: Counting objects: 46% (478/1038) remote: Counting objects: 47% (488/1038) remote: Counting objects: 48% (499/1038) remote: Counting objects: 49% (509/1038) remote: Counting objects: 50% (519/1038) remote: Counting objects: 51% (530/1038) remote: Counting objects: 52% (540/1038) remote: Counting objects: 53% (551/1038) remote: Counting objects: 54% (561/1038) remote: Counting objects: 55% (571/1038)
  8. 0.26 s remote: Counting objects: 56% (582/1038) remote: Counting objects: 57% (592/1038)
  9. 0.26 s remote: Counting objects: 58% (603/1038) remote: Counting objects: 59% (613/1038)
  10. 0.26 s remote: Counting objects: 60% (623/1038)
  11. 0.26 s remote: Counting objects: 61% (634/1038)
  12. 0.26 s remote: Counting objects: 62% (644/1038) remote: Counting objects: 63% (654/1038) remote: Counting objects: 64% (665/1038)
  13. 0.26 s remote: Counting objects: 65% (675/1038) remote: Counting objects: 66% (686/1038) remote: Counting objects: 67% (696/1038) remote: Counting objects: 68% (706/1038) remote: Counting objects: 69% (717/1038) remote: Counting objects: 70% (727/1038) remote: Counting objects: 71% (737/1038) remote: Counting objects: 72% (748/1038) remote: Counting objects: 73% (758/1038) remote: Counting objects: 74% (769/1038) remote: Counting objects: 75% (779/1038) remote: Counting objects: 76% (789/1038) remote: Counting objects: 77% (800/1038) remote: Counting objects: 78% (810/1038) remote: Counting objects: 79% (821/1038) remote: Counting objects: 80% (831/1038)
  14. 0.26 s remote: Counting objects: 81% (841/1038) remote: Counting objects: 82% (852/1038)
  15. 0.26 s remote: Counting objects: 83% (862/1038) remote: Counting objects: 84% (872/1038)
  16. 0.26 s remote: Counting objects: 85% (883/1038)
  17. 0.26 s remote: Counting objects: 86% (893/1038) remote: Counting objects: 87% (904/1038)
  18. 0.26 s remote: Counting objects: 88% (914/1038) remote: Counting objects: 89% (924/1038) remote: Counting objects: 90% (935/1038) remote: Counting objects: 91% (945/1038) remote: Counting objects: 92% (955/1038) remote: Counting objects: 93% (966/1038) remote: Counting objects: 94% (976/1038) remote: Counting objects: 95% (987/1038) remote: Counting objects: 96% (997/1038) remote: Counting objects: 97% (1007/1038) remote: Counting objects: 98% (1018/1038) remote: Counting objects: 99% (1028/1038) remote: Counting objects: 100% (1038/1038) remote: Counting objects: 100% (1038/1038), done.
  19. 0.26 s remote: Compressing objects: 0% (1/548) remote: Compressing objects: 1% (6/548) remote: Compressing objects: 2% (11/548) remote: Compressing objects: 3% (17/548) remote: Compressing objects: 4% (22/548) remote: Compressing objects: 5% (28/548) remote: Compressing objects: 6% (33/548) remote: Compressing objects: 7% (39/548) remote: Compressing objects: 8% (44/548) remote: Compressing objects: 9% (50/548) remote: Compressing objects: 10% (55/548) remote: Compressing objects: 11% (61/548) remote: Compressing objects: 12% (66/548) remote: Compressing objects: 13% (72/548) remote: Compressing objects: 14% (77/548) remote: Compressing objects: 15% (83/548) remote: Compressing objects: 16% (88/548) remote: Compressing objects: 17% (94/548) remote: Compressing objects: 18% (99/548) remote: Compressing objects: 19% (105/548) remote: Compressing objects: 20% (110/548) remote: Compressing objects: 21% (116/548) remote: Compressing objects: 22% (121/548) remote: Compressing objects: 23% (127/548) remote: Compressing objects: 24% (132/548) remote: Compressing objects: 25% (137/548) remote: Compressing objects: 26% (143/548) remote: Compressing objects: 27% (148/548) remote: Compressing objects: 28% (154/548) remote: Compressing objects: 29% (159/548) remote: Compressing objects: 30% (165/548) remote: Compressing objects: 31% (170/548) remote: Compressing objects: 32% (176/548) remote: Compressing objects: 33% (181/548) remote: Compressing objects: 34% (187/548) remote: Compressing objects: 35% (192/548) remote: Compressing objects: 36% (198/548) remote: Compressing objects: 37% (203/548) remote: Compressing objects: 38% (209/548) remote: Compressing objects: 39% (214/548) remote: Compressing objects: 40% (220/548) remote: Compressing objects: 41% (225/548) remote: Compressing objects: 42% (231/548) remote: Compressing objects: 43% (236/548) remote: Compressing objects: 44% (242/548) remote: Compressing objects: 45% (247/548) remote: Compressing objects: 46% (253/548) remote: Compressing objects: 47% (258/548) remote: Compressing objects: 48% (264/548) remote: Compressing objects: 49% (269/548) remote: Compressing objects: 50% (274/548) remote: Compressing objects: 51% (280/548) remote: Compressing objects: 52% (285/548) remote: Compressing objects: 53% (291/548) remote: Compressing objects: 54% (296/548) remote: Compressing objects: 55% (302/548) remote: Compressing objects: 56% (307/548) remote: Compressing objects: 57% (313/548) remote: Compressing objects: 58% (318/548) remote: Compressing objects: 59% (324/548) remote: Compressing objects: 60% (329/548) remote: Compressing objects: 61% (335/548) remote: Compressing objects: 62% (340/548) remote: Compressing objects: 63% (346/548) remote: Compressing objects:
  20. 0.26 s 64% (351/548) remote: Compressing objects: 65% (357/548) remote: Compressing objects: 66% (362/548) remote: Compressing objects: 67% (368/548) remote: Compressing objects: 68% (373/548) remote: Compressing objects: 69% (379/548) remote: Compressing objects: 70% (384/548) remote: Compressing objects: 71% (390/548) remote: Compressing objects: 72% (395/548) remote: Compressing objects: 73% (401/548) remote: Compressing objects: 74% (406/548) remote: Compressing objects: 75% (411/548) remote: Compressing objects: 76% (417/548) remote: Compressing objects: 77% (422/548) remote: Compressing objects: 78% (428/548) remote: Compressing objects: 79% (433/548) remote: Compressing objects: 80% (439/548) remote: Compressing objects: 81% (444/548) remote: Compressing objects: 82% (450/548) remote: Compressing objects: 83% (455/548) remote: Compressing objects: 84% (461/548) remote: Compressing objects: 85% (466/548) remote: Compressing objects: 86% (472/548) remote: Compressing objects: 87% (477/548) remote: Compressing objects: 88% (483/548) remote: Compressing objects: 89% (488/548) remote: Compressing objects: 90% (494/548) remote: Compressing objects: 91% (499/548) remote: Compressing objects: 92% (505/548) remote: Compressing objects: 93% (510/548) remote: Compressing objects: 94% (516/548) remote: Compressing objects: 95% (521/548) remote: Compressing objects: 96% (527/548) remote: Compressing objects: 97% (532/548) remote: Compressing objects: 98% (538/548) remote: Compressing objects: 99% (543/548) remote: Compressing objects: 100% (548/548) remote: Compressing objects: 100% (548/548), done.
  21. 0.27 s Receiving objects: 0% (1/1038)
  22. 0.27 s Receiving objects: 1% (11/1038)
  23. 0.27 s Receiving objects: 2% (21/1038)
  24. 0.27 s Receiving objects: 3% (32/1038)
  25. 0.27 s Receiving objects: 4% (42/1038)
  26. 0.27 s Receiving objects: 5% (52/1038)
  27. 0.27 s Receiving objects: 6% (63/1038)
  28. 0.27 s Receiving objects: 7% (73/1038)
  29. 0.27 s Receiving objects: 8% (84/1038)
  30. 0.27 s Receiving objects: 9% (94/1038)
  31. 0.28 s Receiving objects: 10% (104/1038)
  32. 0.28 s Receiving objects: 11% (115/1038)
  33. 0.28 s Receiving objects: 12% (125/1038)
  34. 0.28 s Receiving objects: 13% (135/1038)
  35. 0.28 s Receiving objects: 14% (146/1038)
  36. 0.28 s Receiving objects: 15% (156/1038)
  37. 0.28 s Receiving objects: 16% (167/1038)
  38. 0.30 s Receiving objects: 17% (177/1038)
  39. 0.30 s Receiving objects: 18% (187/1038)
  40. 0.31 s Receiving objects: 19% (198/1038)
  41. 0.31 s Receiving objects: 20% (208/1038)
  42. 0.31 s Receiving objects: 21% (218/1038)
  43. 0.32 s Receiving objects: 22% (229/1038)
  44. 0.33 s Receiving objects: 23% (239/1038)
  45. 0.33 s Receiving objects: 24% (250/1038)
  46. 0.33 s Receiving objects: 25% (260/1038)
  47. 0.33 s Receiving objects: 26% (270/1038)
  48. 0.33 s Receiving objects: 27% (281/1038)
  49. 0.33 s Receiving objects: 28% (291/1038)
  50. 0.33 s Receiving objects: 29% (302/1038)
  51. 0.33 s Receiving objects: 30% (312/1038)
  52. 0.34 s Receiving objects: 31% (322/1038)
  53. 0.34 s Receiving objects: 32% (333/1038)
  54. 0.34 s Receiving objects: 33% (343/1038)
  55. 0.34 s Receiving objects: 34% (353/1038)
  56. 0.34 s Receiving objects: 35% (364/1038)
  57. 0.34 s Receiving objects: 36% (374/1038)
  58. 0.34 s Receiving objects: 37% (385/1038)
  59. 0.34 s Receiving objects: 38% (395/1038) Receiving objects: 39% (405/1038)
  60. 0.34 s Receiving objects: 40% (416/1038)
  61. 0.34 s Receiving objects: 41% (426/1038)
  62. 0.34 s Receiving objects: 42% (436/1038)
  63. 0.34 s Receiving objects: 43% (447/1038) Receiving objects: 44% (457/1038)
  64. 0.34 s Receiving objects: 45% (468/1038)
  65. 0.34 s Receiving objects: 46% (478/1038) Receiving objects: 47% (488/1038)
  66. 0.34 s Receiving objects: 48% (499/1038)
  67. 0.34 s Receiving objects: 49% (509/1038)
  68. 0.34 s Receiving objects: 50% (519/1038)
  69. 0.34 s Receiving objects: 51% (530/1038)
  70. 0.34 s Receiving objects: 52% (540/1038)
  71. 0.34 s Receiving objects: 53% (551/1038)
  72. 0.34 s Receiving objects: 54% (561/1038)
  73. 0.34 s Receiving objects: 55% (571/1038) Receiving objects: 56% (582/1038)
  74. 0.34 s Receiving objects: 57% (592/1038)
  75. 0.34 s Receiving objects: 58% (603/1038)
  76. 0.34 s Receiving objects: 59% (613/1038)
  77. 0.34 s Receiving objects: 60% (623/1038)
  78. 0.34 s Receiving objects: 61% (634/1038)
  79. 0.34 s Receiving objects: 62% (644/1038)
  80. 0.34 s Receiving objects: 63% (654/1038) Receiving objects: 64% (665/1038)
  81. 0.34 s Receiving objects: 65% (675/1038)
  82. 0.34 s Receiving objects: 66% (686/1038)
  83. 0.34 s Receiving objects: 67% (696/1038) Receiving objects: 68% (706/1038)
  84. 0.34 s Receiving objects: 69% (717/1038) Receiving objects: 70% (727/1038)
  85. 0.34 s Receiving objects: 71% (737/1038)
  86. 0.34 s Receiving objects: 72% (748/1038)
  87. 0.34 s Receiving objects: 73% (758/1038)
  88. 0.34 s Receiving objects: 74% (769/1038)
  89. 0.34 s Receiving objects: 75% (779/1038)
  90. 0.34 s Receiving objects: 76% (789/1038)
  91. 0.35 s Receiving objects: 77% (800/1038)
  92. 0.35 s Receiving objects: 78% (810/1038) Receiving objects: 79% (821/1038)
  93. 0.35 s Receiving objects: 80% (831/1038) Receiving objects: 81% (841/1038)
  94. 0.35 s Receiving objects: 82% (852/1038)
  95. 0.35 s remote: Total 1038 (delta 557), reused 883 (delta 420), pack-reused 0 (from 0)
  96. 0.35 s Receiving objects: 83% (862/1038)
  97. 0.35 s Receiving objects: 84% (872/1038) Receiving objects: 85% (883/1038) Receiving objects: 86% (893/1038)
  98. 0.35 s Receiving objects: 87% (904/1038)
  99. 0.35 s Receiving objects: 88% (914/1038)
  100. 0.35 s Receiving objects: 89% (924/1038)
  101. 0.35 s Receiving objects: 90% (935/1038) Receiving objects: 91% (945/1038) Receiving objects: 92% (955/1038) Receiving objects: 93% (966/1038)
  102. 0.35 s Receiving objects: 94% (976/1038) Receiving objects: 95% (987/1038)
  103. 0.35 s Receiving objects: 96% (997/1038)
  104. 0.35 s Receiving objects: 97% (1007/1038) Receiving objects: 98% (1018/1038)
  105. 0.35 s Receiving objects: 99% (1028/1038)
  106. 0.35 s Receiving objects: 100% (1038/1038) Receiving objects: 100% (1038/1038), 1.84 MiB | 22.74 MiB/s, done.
  107. 0.35 s Resolving deltas: 0% (0/557)
  108. 0.35 s Resolving deltas: 1% (6/557)
  109. 0.35 s Resolving deltas: 2% (12/557) Resolving deltas: 3% (17/557)
  110. 0.35 s Resolving deltas: 4% (23/557)
  111. 0.35 s Resolving deltas: 5% (28/557)
  112. 0.35 s Resolving deltas: 6% (34/557)
  113. 0.35 s Resolving deltas: 7% (40/557)
  114. 0.35 s Resolving deltas: 8% (45/557)
  115. 0.36 s Resolving deltas: 9% (51/557)
  116. 0.36 s Resolving deltas: 10% (56/557)
  117. 0.36 s Resolving deltas: 11% (62/557)
  118. 0.36 s Resolving deltas: 12% (67/557)
  119. 0.36 s Resolving deltas: 13% (73/557)
  120. 0.36 s Resolving deltas: 14% (78/557)
  121. 0.36 s Resolving deltas: 15% (84/557)
  122. 0.36 s Resolving deltas: 16% (90/557)
  123. 0.36 s Resolving deltas: 17% (95/557)
  124. 0.36 s Resolving deltas: 18% (101/557) Resolving deltas: 19% (106/557) Resolving deltas: 20% (115/557) Resolving deltas: 21% (117/557)
  125. 0.36 s Resolving deltas: 22% (123/557)
  126. 0.36 s Resolving deltas: 23% (130/557)
  127. 0.36 s Resolving deltas: 24% (134/557)
  128. 0.36 s Resolving deltas: 25% (140/557)
  129. 0.36 s Resolving deltas: 26% (145/557)
  130. 0.36 s Resolving deltas: 27% (151/557)
  131. 0.36 s Resolving deltas: 28% (156/557)
  132. 0.36 s Resolving deltas: 29% (162/557)
  133. 0.36 s Resolving deltas: 30% (168/557)
  134. 0.36 s Resolving deltas: 31% (173/557)
  135. 0.36 s Resolving deltas: 32% (179/557)
  136. 0.36 s Resolving deltas: 33% (184/557)
  137. 0.36 s Resolving deltas: 34% (190/557)
  138. 0.36 s Resolving deltas: 35% (195/557)
  139. 0.36 s Resolving deltas: 36% (201/557)
  140. 0.36 s Resolving deltas: 37% (207/557)
  141. 0.36 s Resolving deltas: 38% (212/557)
  142. 0.36 s Resolving deltas: 39% (219/557)
  143. 0.36 s Resolving deltas: 40% (223/557)
  144. 0.36 s Resolving deltas: 41% (229/557)
  145. 0.36 s Resolving deltas: 42% (234/557)
  146. 0.36 s Resolving deltas: 43% (240/557)
  147. 0.36 s Resolving deltas: 44% (246/557)
  148. 0.36 s Resolving deltas: 45% (251/557)
  149. 0.36 s Resolving deltas: 46% (257/557)
  150. 0.36 s Resolving deltas: 47% (262/557)
  151. 0.36 s Resolving deltas: 48% (268/557)
  152. 0.36 s Resolving deltas: 49% (273/557)
  153. 0.36 s Resolving deltas: 50% (279/557)
  154. 0.36 s Resolving deltas: 51% (285/557)
  155. 0.36 s Resolving deltas: 52% (290/557)
  156. 0.36 s Resolving deltas: 53% (296/557)
  157. 0.36 s Resolving deltas: 54% (301/557)
  158. 0.36 s Resolving deltas: 55% (307/557)
  159. 0.36 s Resolving deltas: 56% (312/557)
  160. 0.36 s Resolving deltas: 57% (318/557)
  161. 0.36 s Resolving deltas: 58% (324/557)
  162. 0.36 s Resolving deltas: 59% (329/557)
  163. 0.36 s Resolving deltas: 60% (335/557)
  164. 0.36 s Resolving deltas: 61% (340/557)
  165. 0.36 s Resolving deltas: 62% (346/557)
  166. 0.36 s Resolving deltas: 63% (351/557)
  167. 0.36 s Resolving deltas: 64% (358/557)
  168. 0.36 s Resolving deltas: 65% (363/557)
  169. 0.36 s Resolving deltas: 66% (368/557)
  170. 0.36 s Resolving deltas: 67% (374/557)
  171. 0.36 s Resolving deltas: 68% (379/557)
  172. 0.36 s Resolving deltas: 69% (385/557)
  173. 0.36 s Resolving deltas: 70% (390/557)
  174. 0.36 s Resolving deltas: 71% (396/557)
  175. 0.36 s Resolving deltas: 72% (402/557)
  176. 0.36 s Resolving deltas: 73% (407/557)
  177. 0.36 s Resolving deltas: 74% (413/557)
  178. 0.36 s Resolving deltas: 75% (418/557)
  179. 0.36 s Resolving deltas: 76% (424/557)
  180. 0.36 s Resolving deltas: 77% (429/557)
  181. 0.36 s Resolving deltas: 78% (435/557)
  182. 0.36 s Resolving deltas: 79% (443/557)
  183. 0.36 s Resolving deltas: 80% (447/557)
  184. 0.36 s Resolving deltas: 81% (452/557)
  185. 0.36 s Resolving deltas: 82% (458/557) Resolving deltas: 83% (463/557)
  186. 0.36 s Resolving deltas: 84% (468/557)
  187. 0.36 s Resolving deltas: 85% (474/557)
  188. 0.36 s Resolving deltas: 86% (480/557)
  189. 0.36 s Resolving deltas: 87% (486/557)
  190. 0.36 s Resolving deltas: 88% (491/557)
  191. 0.36 s Resolving deltas: 89% (496/557)
  192. 0.36 s Resolving deltas: 90% (502/557)
  193. 0.36 s Resolving deltas: 91% (507/557)
  194. 0.36 s Resolving deltas: 92% (513/557)
  195. 0.36 s Resolving deltas: 93% (520/557)
  196. 0.36 s Resolving deltas: 94% (524/557)
  197. 0.36 s Resolving deltas: 95% (530/557)
  198. 0.36 s Resolving deltas: 96% (535/557)
  199. 0.36 s Resolving deltas: 97% (541/557)
  200. 0.36 s Resolving deltas: 98% (546/557)
  201. 0.36 s Resolving deltas: 99% (552/557)
  202. 0.36 s Resolving deltas: 100% (557/557)
  203. 0.36 s Resolving deltas: 100% (557/557), done.
  204. 0.37 s From https://codeberg.org/mtlynch/little-moments
  205. 0.37 s * branch 72cf1343c76d5039e5d933c5ec3a28d92129fbb7 -> FETCH_HEAD
  206. 1.55 s this derivation will be built:
  207. 1.55 s /nix/store/3d2rgk54k03sysy52lflzgk6j76h4ayn-little-moments-0.0.1.drv
  208. 1.64 s building '/nix/store/3d2rgk54k03sysy52lflzgk6j76h4ayn-little-moments-0.0.1.drv'...
  209. 1.66 s little-moments> Running phase: unpackPhase
  210. 1.66 s little-moments> unpacking source archive /nix/store/9iqww3nfb2a1zrx7yxily8qx4cwjrsd1-source
  211. 1.68 s little-moments> source root is source
  212. 1.70 s little-moments> Running phase: patchPhase
  213. 1.70 s little-moments> Running phase: updateAutotoolsGnuConfigScriptsPhase
  214. 1.72 s little-moments> Running phase: configurePhase
  215. 1.80 s little-moments> Running phase: buildPhase
  216. 1.80 s little-moments> Building subPackage ./cmd/app
  217. 9.85 s little-moments> Running phase: checkPhase
  218. 17.09 s little-moments> ? codeberg.org/mtlynch/little-moments/cmd/app [no test files]
  219. 17.10 s little-moments> Running phase: installPhase
  220. 17.12 s little-moments> Running phase: fixupPhase
  221. 17.13 s little-moments> shrinking RPATHs of ELF executables and libraries in /nix/store/392yah0rjaqiypby5zm755galqax9kbh-little-moments-0.0.1
  222. 17.14 s little-moments> shrinking /nix/store/392yah0rjaqiypby5zm755galqax9kbh-little-moments-0.0.1/bin/app
  223. 17.15 s little-moments> patchelf: cannot find section '.dynamic'. The input file is most likely statically linked
  224. 17.15 s little-moments> checking for references to /build/ in /nix/store/392yah0rjaqiypby5zm755galqax9kbh-little-moments-0.0.1...
  225. 17.19 s little-moments> patchelf: cannot find section '.dynamic'. The input file is most likely statically linked
  226. 17.20 s little-moments> patching script interpreter paths in /nix/store/392yah0rjaqiypby5zm755galqax9kbh-little-moments-0.0.1
  227. 17.21 s little-moments> stripping (with command strip and flags -S -p) in /nix/store/392yah0rjaqiypby5zm755galqax9kbh-little-moments-0.0.1/bin
  228. 17.46 s little-moments (post)> Uploading paths from nix-ci to the NixCI cache /nix/store/392yah0rjaqiypby5zm755galqax9kbh-little-moments-0.0.1
  229. 17.49 s little-moments (post)> warning: 'warn-short-path-literals' is deprecated, use 'lint-short-path-literals = ignore' instead
  230. 17.50 s little-moments (post)> copying 1 paths...
  231. 17.50 s little-moments (post)> copying path '/nix/store/392yah0rjaqiypby5zm755galqax9kbh-little-moments-0.0.1' to 'https://cache.nix-ci.com'...
  232. 23.08 s little-moments (post)> warning: 'warn-short-path-literals' is deprecated, use 'lint-short-path-literals = ignore' instead
  233. 23.36 s little-moments (post)> copying 2 paths...
  234. 23.36 s little-moments (post)> copying path '/nix/store/mbg3imz2dnpbr5g93irhjf5h8gynddwx-little-moments-0.0.1-go-modules.drv' to 'https://cache.nix-ci.com'...
  235. 24.38 s little-moments (post)> copying path '/nix/store/3d2rgk54k03sysy52lflzgk6j76h4ayn-little-moments-0.0.1.drv' to 'https://cache.nix-ci.com'...
More Logs Raw Logs

Agent Instructions

Wait for completion, without logs:

curl --netrc -N https://nix-ci.com/cb:mtlynch:little-moments/design-improve/72cf1343c76d5039e5d933c5ec3a28d92129fbb7/7548fa37-b2ca-4782-a175-f00f85899e11/wait

Latest logs, with timestamps (streams while running):

curl --netrc -N https://nix-ci.com/cb:mtlynch:little-moments/design-improve/72cf1343c76d5039e5d933c5ec3a28d92129fbb7/7548fa37-b2ca-4782-a175-f00f85899e11/tail

All logs, with timestamps (available after completion):

curl --netrc https://nix-ci.com/cb:mtlynch:little-moments/design-improve/72cf1343c76d5039e5d933c5ec3a28d92129fbb7/7548fa37-b2ca-4782-a175-f00f85899e11/logs

Raw logs, from the start (no timestamps):

curl --netrc -N https://nix-ci.com/cb:mtlynch:little-moments/design-improve/72cf1343c76d5039e5d933c5ec3a28d92129fbb7/7548fa37-b2ca-4782-a175-f00f85899e11/raw-logs

Content types available for /logs and /tail (use Accept header):

Example:

curl --netrc -H "Accept: text/csv" https://nix-ci.com/cb:mtlynch:little-moments/design-improve/72cf1343c76d5039e5d933c5ec3a28d92129fbb7/7548fa37-b2ca-4782-a175-f00f85899e11/logs

Reproduce locally: https://nix-ci.com/cb:mtlynch:little-moments/design-improve/72cf1343c76d5039e5d933c5ec3a28d92129fbb7/7548fa37-b2ca-4782-a175-f00f85899e11/repro

For more instructions, fetch https://nix-ci.com/instructions .