177 Commits
Author SHA1 Message Date
Mikael CAPELLE b3ba0fee99 2025 day 1, ugly, lazy. 2025-12-03 17:31:03 +01:00
Mikaël Capelle 279f6cdde2 Ignore root files folder.
continuous-integration/drone/push Build is failing
2024-12-26 15:27:36 +01:00
Mikaël Capelle b881bf9ce4 Remove old print. 2024-12-26 15:26:36 +01:00
Mikaël Capelle 0acb51ca97 2024 day 25.
continuous-integration/drone/push Build is failing
2024-12-25 10:16:27 +01:00
Mikaël Capelle 1e2db73b52 2024 day 21 part 2.
continuous-integration/drone/push Build is failing
2024-12-24 14:27:27 +01:00
Mikaël Capelle d61d9d4559 2024 day 24.
continuous-integration/drone/push Build is failing
2024-12-24 12:33:53 +01:00
Mikaël Capelle 77b24dd148 2024 day 23.
continuous-integration/drone/push Build is failing
2024-12-23 11:35:42 +01:00
Mikaël Capelle b9341bdecc 2024 day 22.
continuous-integration/drone/push Build is failing
2024-12-22 14:07:40 +01:00
Mikaël Capelle ae5527b72d 2024 day 21 part 1.
continuous-integration/drone/push Build is failing
2024-12-21 13:13:31 +01:00
Mikaël Capelle 96f139fe10 2024 day 20.
continuous-integration/drone/push Build is failing
2024-12-20 09:19:12 +01:00
Mikael CAPELLE 683cac334c 2024 day 19.
continuous-integration/drone/push Build is failing
2024-12-19 12:13:00 +01:00
Mikael CAPELLE 146d025d41 Add generic simple dijkstra method.
continuous-integration/drone/push Build is failing
2024-12-18 10:41:01 +01:00
Mikael CAPELLE 954ef1e6ce 2024 day 18.
continuous-integration/drone/push Build is failing
2024-12-18 08:54:06 +01:00
Mikael CAPELLE 24580fdfd8 Add Thomas input for 2024 day 17.
continuous-integration/drone/push Build is failing
2024-12-17 15:27:21 +01:00
Mikael CAPELLE 7c0a124a5d 2024 day 17 kind-of-generic. 2024-12-17 15:20:30 +01:00
Mikael CAPELLE 11e32ddfda 2024 day 17 specific to me.
continuous-integration/drone/push Build is failing
2024-12-17 14:28:37 +01:00
Mikael CAPELLE 4dcdab9931 2024 day 17 WIP.
continuous-integration/drone/push Build is failing
2024-12-17 09:45:27 +01:00
Mikael CAPELLE f965eea33a 2024 day 16 no networkx.
continuous-integration/drone/push Build is failing
2024-12-16 16:48:45 +01:00
Mikael CAPELLE c3c73ee517 2024 day 16, networkx version.
continuous-integration/drone/push Build is failing
2024-12-16 08:19:42 +01:00
Mikaël Capelle 8308940674 Allow creation of avi video.
continuous-integration/drone/push Build is failing
2024-12-15 14:07:32 +01:00
Mikaël Capelle bc06f86fdc 2024 day 15 colored gif output.
continuous-integration/drone/push Build is failing
2024-12-15 11:46:07 +01:00
Mikaël Capelle 2c25b33bcc Optimize generated gifs.
continuous-integration/drone/push Build is failing
2024-12-15 11:30:23 +01:00
Mikaël Capelle 8651884ca6 2024 day 15 gif output.
continuous-integration/drone/push Build is failing
2024-12-15 11:21:01 +01:00
Mikaël Capelle 7447c7b536 2024 day 15.
continuous-integration/drone/push Build is failing
2024-12-15 10:56:28 +01:00
Mikaël Capelle 3e8d796b2e 2024 day 15.
continuous-integration/drone/push Build is failing
2024-12-15 10:44:47 +01:00
Mikaël Capelle fcd4b47951 Use imageio instead of matplotlib to generate image.
continuous-integration/drone/push Build is failing
2024-12-15 10:13:42 +01:00
Mikaël Capelle b15131bf1e Add dot file to 2021 day 12.
continuous-integration/drone/push Build is failing
2024-12-14 22:35:18 +01:00
Mikaël Capelle 2c5c51e05f 2021 day 12.
continuous-integration/drone/push Build is failing
2024-12-14 22:29:20 +01:00
Mikaël Capelle 51275dd539 2021 day 11.
continuous-integration/drone/push Build is failing
2024-12-14 22:07:05 +01:00
Mikaël Capelle f1ae1c598f 2021 day 10. 2024-12-14 21:49:05 +01:00
Mikaël Capelle 91ba8ec86f 2015 day 25.
continuous-integration/drone/push Build is failing
2024-12-14 21:02:23 +01:00
Mikaël Capelle 323f810fcd 2015 day 24.
continuous-integration/drone/push Build is failing
2024-12-14 15:21:19 +01:00
Mikaël Capelle 8969ea895f Handle PNG file generation.
continuous-integration/drone/push Build is failing
2024-12-14 11:52:32 +01:00
Mikaël Capelle 67f7eef636 Update poetry dependencies.
continuous-integration/drone/push Build is failing
2024-12-14 11:10:46 +01:00
Mikaël Capelle 4f8b50577a 2024 day 14.
continuous-integration/drone/push Build is failing
2024-12-14 10:23:00 +01:00
Mikaël Capelle 67e41503c9 2024 day 13.
continuous-integration/drone/push Build is passing
2024-12-13 09:15:23 +01:00
Mikael CAPELLE 30e0bb3665 2015 day 23.
continuous-integration/drone/push Build is passing
2024-12-12 17:19:25 +01:00
Mikael CAPELLE 291c627c79 2024 day 12.
continuous-integration/drone/push Build is passing
2024-12-12 17:19:00 +01:00
Mikaël Capelle 89306f4a04 UGLY, 2024 day 12.
continuous-integration/drone/push Build is passing
2024-12-12 07:21:12 +01:00
Mikael CAPELLE 721d69e766 Remove unused functions from previous years.
continuous-integration/drone/push Build is passing
2024-12-11 15:48:38 +01:00
Mikael CAPELLE 356fd35b08 2024 day 11 without str. 2024-12-11 09:57:47 +01:00
Mikaël Capelle 92bd85e1dd 2024 day 11. 2024-12-11 07:13:28 +01:00
Mikael CAPELLE 22129048e7 Fix 2023 day 20 for API. 2024-12-10 16:54:18 +01:00
Mikael CAPELLE 781e4cd6e1 Remove bad print in 2023 day 21. 2024-12-10 16:22:03 +01:00
Mikael CAPELLE 46558672e8 File handling for API. 2024-12-10 15:39:00 +01:00
Mikael CAPELLE 3c544c559b Clean 2024 day 10. 2024-12-10 08:46:44 +01:00
Mikaël Capelle 4367a5183a 2024 day 10. 2024-12-10 07:02:39 +01:00
Mikael CAPELLE 03e4e75978 Add TQDM to 2024 day 9. 2024-12-09 10:33:28 +01:00
Mikaël Capelle 98eb515c19 2024 day 9. 2024-12-09 06:55:27 +01:00
Mikaël Capelle dd3f332870 Fix 2022 day 16 for progress API. 2024-12-08 19:25:21 +01:00
Mikaël Capelle 9d7ef94fa6 Force string type for answer value. 2024-12-08 14:34:57 +01:00
ce315b8778 Refactor code for API (#3)
Co-authored-by: Mikael CAPELLE <mikael.capelle@thalesaleniaspace.com>
Co-authored-by: Mikaël Capelle <capelle.mikael@gmail.com>
Reviewed-on: #3
2024-12-08 13:06:41 +00:00
Mikael CAPELLE ab4e3e199c Refactor 2024 day 6 to be a little bit faster. 2024-12-06 14:10:51 +01:00
Mikaël Capelle 2c1a0b919b 2024 day 6, brute force. 2024-12-06 06:50:35 +01:00
Mikael CAPELLE cd6f97cd7e Refactor 2024 day 5 without networkx. 2024-12-05 08:28:55 +01:00
Mikaël Capelle 5312755f32 2024 day 5. 2024-12-05 07:25:55 +01:00
Mikael CAPELLE 55cb5ed745 Refactor 2024 day 4. 2024-12-04 09:31:47 +01:00
Mikaël Capelle f0d8e156a9 2024 day 4. 2024-12-04 07:35:22 +01:00
Mikael CAPELLE c19279fad3 Refactor 2024 day 3. 2024-12-03 15:22:54 +01:00
mikael.capelle 0d50b44c37 Add .drone.yml for CI. (#2) 2024-12-03 13:38:03 +00:00
Mikael CAPELLE b32d46b641 Fix linting. 2024-12-03 14:11:29 +01:00
Mikael CAPELLE 5c43eb2c73 2024 day 3. 2024-12-03 08:29:25 +01:00
Mikaël Capelle 540fe37b9d Fix 2024 day 2. 2024-12-02 18:44:50 +01:00
Mikael CAPELLE 2a4f923552 Update Python dependencies. 2024-12-02 17:08:50 +01:00
Mikael CAPELLE 4821db89cc 2024 day 2. 2024-12-02 15:42:56 +01:00
Mikaël Capelle d1733a5888 2024 day 1. 2024-12-01 10:26:02 +01:00
Mikaël Capelle dd8458fa96 2015 day 22, part 1. 2024-12-01 10:25:49 +01:00
Mikaël Capelle 850c66cd8d 2015 day 21. 2024-01-20 17:57:37 +01:00
Mikaël Capelle 2597235d0c 2015 day 20. 2024-01-06 22:07:34 +01:00
Mikaël Capelle db9a3b3ed3 2015 day 19. 2024-01-06 21:35:48 +01:00
Mikaël Capelle 31b0e9f195 2015 day 18. 2024-01-06 16:43:35 +01:00
Mikaël Capelle 5b07e73382 2015 day 17. 2024-01-06 15:46:43 +01:00
Mikaël Capelle c1732baa0d 2015 day 16. 2024-01-06 15:27:45 +01:00
Mikaël Capelle de96ab0e25 2015 day 15. 2024-01-06 15:11:47 +01:00
Mikaël Capelle cd58b7861b 2015 day 12, 13 & 14. 2024-01-06 14:56:30 +01:00
Mikaël Capelle 8d2f61fa65 2015 day 11. 2024-01-06 11:46:59 +01:00
Mikaël Capelle 3d7dd37c11 2015 day 10. 2024-01-06 11:30:10 +01:00
Mikael CAPELLE f373528b06 2015 day 9. 2024-01-05 14:46:05 +01:00
Mikael CAPELLE 3fe9555cb1 2015 day 8. 2024-01-05 10:01:02 +01:00
Mikaël Capelle f94e2bd831 2015 day 4, 5, 6, 7. 2024-01-04 21:05:42 +01:00
Mikael CAPELLE 685f1e56d7 2015 day 3. 2024-01-04 18:36:30 +01:00
Mikael CAPELLE ea0c9e7812 2015 day 1 & 2. 2024-01-04 18:27:17 +01:00
Mikaël Capelle 52cb793d06 Faster 2023 day 24 (part 1). 2024-01-01 18:44:13 +01:00
Mikaël Capelle 4a2a63b0b0 Minor cleaning 2023. 2023-12-30 19:35:06 +01:00
Mikaël Capelle 9f96abbd43 2023 day 25. 2023-12-25 10:36:36 +01:00
Mikaël Capelle 57bf025622 2023 day 24. 2023-12-25 10:36:29 +01:00
Mikaël Capelle bcadb68189 2023 day 23. 2023-12-23 11:05:35 +01:00
Mikaël Capelle d7d7837c1f 2021 day 9. 2023-12-22 21:26:13 +01:00
Mikaël Capelle 82fab771ab 2023 day 22. 2023-12-22 14:49:31 +01:00
Mikaël Capelle 85fff24cc1 2023 day 21, version 2. 2023-12-21 21:56:38 +01:00
Mikael CAPELLE 9326d6c76c 2023 day 21. 2023-12-21 16:47:43 +01:00
Mikael CAPELLE eefb3ceb44 2023 day 20. 2023-12-20 14:27:25 +01:00
Mikael CAPELLE 2959387bcd Poetry stuff. 2023-12-19 17:45:33 +01:00
Mikaël Capelle 41b07cfe83 2023 day 19. 2023-12-19 10:41:53 +01:00
Mikael CAPELLE 981e745eb0 2023 day 18. 2023-12-18 11:40:32 +01:00
Mikaël Capelle 8760e47283 2023 day 17. 2023-12-17 18:19:49 +01:00
Mikaël Capelle 1db3ab9090 2023 day 16. 2023-12-16 18:33:11 +01:00
Mikaël Capelle 9a1769e200 2023 day 15. 2023-12-15 16:18:21 +01:00
Mikaël Capelle 8c150c0bb1 2023 day 14. 2023-12-14 19:34:38 +01:00
Mikaël Capelle 69929b28dd 2023 day 13. 2023-12-13 20:05:05 +01:00
mikael.capelle f41b50c9e0 2023 day 12. 2023-12-12 20:20:26 +00:00
Mikaël Capelle d6b99454d2 2023 day 11. 2023-12-11 10:25:56 +01:00
Mikaël Capelle 1fc3c1632d 2021 day 8. 2023-12-10 20:23:22 +01:00
Mikaël Capelle 9141029557 2023 day 10. 2023-12-10 10:09:12 +01:00
Mikaël Capelle 9d5b57fd56 2021 day 7. 2023-12-09 12:52:46 +01:00
Mikaël Capelle 0756cf74c4 2021 day 6. 2023-12-09 12:36:10 +01:00
Mikaël Capelle bd5727c758 2021 day 1-5. 2023-12-09 11:01:28 +01:00
Mikaël Capelle 0ebd823656 Clean 2022. 2023-12-09 09:54:53 +01:00
Mikaël Capelle 7c6c9e5995 2023 day 9. 2023-12-09 08:08:46 +01:00
Mikaël Capelle f4cd8318b0 2023 day 8. 2023-12-08 08:44:03 +01:00
Mikaël Capelle e06f3da2bd 2023 day 7. 2023-12-08 08:38:08 +01:00
Mikael CAPELLE fb8a911d4d Clean 2023. 2023-12-06 08:47:59 +01:00
Mikaël Capelle 4e1c71b221 2023 day 6. 2023-12-06 07:14:26 +01:00
Mikael CAPELLE 0f8a272b71 2023 day 5. 2023-12-05 13:41:17 +01:00
Mikaël Capelle 508c8cdc42 2023 day 5 part 1. 2023-12-05 07:22:56 +01:00
Mikaël Capelle ee55c807ef Prepare 2023 days. 2023-12-04 19:32:41 +01:00
Mikaël Capelle 10a5b92740 2023 day 4. 2023-12-04 19:30:44 +01:00
Mikaël Capelle d3eacd48aa 2023 day 3. 2023-12-03 09:09:25 +01:00
Mikaël Capelle 53f05058f3 2023 day 2. 2023-12-02 09:47:52 +01:00
Mikaël Capelle c0ea724d4c Fix 2023 day 1. 2023-12-01 20:27:42 +01:00
Mikael CAPELLE 57c15270dc 2023: Day 1. 2023-12-01 10:41:13 +01:00
Mikael CAPELLE 7533dd0b11 Post-christmas cleaning. 2023-01-06 13:48:18 +01:00
Mikaël Capelle dd80b30e26 Day 25. 2022-12-25 11:34:49 +01:00
Mikaël Capelle 0508d95e33 Faster day 24. 2022-12-24 23:00:14 +01:00
Mikaël Capelle f2cc3e4d16 Day 24. 2022-12-24 20:50:37 +01:00
Mikael CAPELLE 9526c383f3 Add day 23. 2022-12-23 13:25:22 +01:00
Mikaël Capelle dd88a1838d Ugly day 22. 2022-12-22 23:00:36 +01:00
Mikaël Capelle 72ffd399b3 Update day 22. 2022-12-22 18:46:59 +01:00
Mikael CAPELLE 020ad7c6d1 Update day 22. 2022-12-22 17:22:56 +01:00
Mikael CAPELLE 1fc4d6531d Update day 22. 2022-12-22 17:00:09 +01:00
Mikael CAPELLE d8bb659e78 Day 22 part 1. 2022-12-22 14:10:30 +01:00
Mikael CAPELLE 6ade69ac35 Start day 22. 2022-12-22 08:20:09 +01:00
Mikael CAPELLE ed7149e5f4 Remove tqdm from day 19. 2022-12-21 17:39:43 +01:00
Mikael CAPELLE e2df3c4825 Day 21. 2022-12-21 09:44:05 +01:00
Mikaël Capelle 266703cdc0 Clean day 20. 2022-12-20 23:39:26 +01:00
Mikaël Capelle f635ea3c97 Add empty files for following days. 2022-12-20 21:51:38 +01:00
Mikael CAPELLE 304aeb16bd Faster day 20. 2022-12-20 18:27:09 +01:00
Mikael CAPELLE ed00c72e59 Day 20, slow. 2022-12-20 13:39:36 +01:00
Mikael CAPELLE 835458e0f3 Start day 20. 2022-12-20 12:35:01 +01:00
Mikaël Capelle 3b9e9a2c8f Add all tests from previous days. 2022-12-19 22:32:15 +01:00
Mikaël Capelle fadb2a71c2 Day 19. 2022-12-19 22:09:20 +01:00
Mikael CAPELLE 91434051c6 Tmp 2022-12-19 18:46:16 +01:00
Mikael CAPELLE c1161f6c1f Start working on day 19. 2022-12-19 13:51:32 +01:00
Mikaël Capelle 3b4efce02f Clean day 17. 2022-12-18 16:46:00 +01:00
Mikaël Capelle 2aaf55b72f Day 18. 2022-12-18 09:57:35 +01:00
Mikaël Capelle d493856d20 Day 17. 2022-12-17 12:27:05 +01:00
Mikaël Capelle 67647c7923 Day 17. 2022-12-17 12:25:48 +01:00
Mikaël Capelle 3c61e5cb7f Less BFS for day 16. 2022-12-16 22:56:34 +01:00
Mikaël Capelle 37e0e1ef06 Better day 16. 2022-12-16 22:52:03 +01:00
Mikael CAPELLE 725e18d480 Update ugly day 16. 2022-12-16 18:40:21 +01:00
Mikael CAPELLE 3d383527e4 Add ugly day 16, to be improved... 2022-12-16 09:21:54 +01:00
Mikael CAPELLE 48e8dff52b Update day 15. 2022-12-15 14:17:04 +01:00
Mikael CAPELLE 0b53406b52 Add day 15. 2022-12-15 09:36:19 +01:00
Mikael CAPELLE 232d019b40 Add day 14. 2022-12-14 09:29:56 +01:00
Mikael CAPELLE 35190adcdf Clean day 9. 2022-12-13 11:18:31 +01:00
Mikael CAPELLE d4199b2810 Clean day 13. 2022-12-13 08:59:53 +01:00
Mikael CAPELLE 971c1b0dda Add day 13. 2022-12-13 08:54:15 +01:00
Mikael CAPELLE 4fe1f521b7 Clean day 12. 2022-12-12 17:55:24 +01:00
Mikael CAPELLE 38b1d86514 One to many Dijkstra. 2022-12-12 17:50:48 +01:00
Mikael CAPELLE 4899583b15 Generic Dijkstra for day 12. 2022-12-12 15:59:19 +01:00
Mikael CAPELLE 792951afa8 Clean day 12. 2022-12-12 10:48:37 +01:00
Mikael CAPELLE 5004aa3376 Add day 12. 2022-12-12 09:35:12 +01:00
Mikaël Capelle 9ba338a4f1 Clean monkey code. 2022-12-11 11:50:23 +01:00
Mikaël Capelle 8795d7a276 Add day 11. 2022-12-11 11:42:47 +01:00
Mikaël Capelle 89adfb151a Add day 10. 2022-12-10 10:24:23 +01:00
Mikaël Capelle 9fd8a5866a Add day 9. 2022-12-09 10:45:00 +01:00
Mikael CAPELLE 7564fac345 Add 2022 day 8. 2022-12-08 08:59:25 +01:00
Mikael CAPELLE 6bd27e4bca Add 2021 day 5. 2022-12-07 18:41:39 +01:00
Mikael CAPELLE 26cfe60f16 Add day 7. 2022-12-07 09:28:06 +01:00
Mikael CAPELLE 32a1220072 Cleaning. 2022-12-06 15:28:46 +01:00
Mikael CAPELLE 9852aea94b Add day 6. 2022-12-06 09:03:22 +01:00
Mikaël Capelle f76767ca6d Add day 4. 2022-12-05 19:09:55 +01:00
Mikael CAPELLE 1b60725e9c Add day 5. 2022-12-05 08:58:25 +01:00
Mikaël Capelle b8cb2cb0b9 Day 3. 2022-12-03 11:42:09 +01:00
Mikael CAPELLE 228f7501bb More comments. 2022-12-02 15:06:37 +01:00
Mikael CAPELLE f4ef0a2666 Comments. 2022-12-02 09:21:38 +01:00
Mikael CAPELLE 60e68ed31c Day 2. 2022-12-02 09:12:49 +01:00
516 changed files with 46905 additions and 2739 deletions
+12
View File
@@ -0,0 +1,12 @@
---
kind: pipeline
type: docker
name: default
steps:
- name: tests
image: python:3.10-slim
commands:
- pip install poetry
- poetry install
- poetry run poe lint
+6
View File
@@ -1 +1,7 @@
# python / VS Code
venv
__pycache__
.ruff_cache
.vscode
build
files
-14
View File
@@ -1,14 +0,0 @@
import sys
lines = sys.stdin.read().splitlines()
values = [int(line) for line in lines]
# part 1
answer_1 = sum(v2 > v1 for v1, v2 in zip(values[:-1], values[1:]))
print(f"answer 1 is {answer_1}")
# part 2
runnings = [sum(values[i : i + 3]) for i in range(len(values) - 2)]
answer_2 = sum(v2 > v1 for v1, v2 in zip(runnings[:-1], runnings[1:]))
print(f"answer 2 is {answer_2}")
-13
View File
@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
-13
View File
@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
-13
View File
@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
-13
View File
@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
-13
View File
@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
-13
View File
@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
-13
View File
@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
-13
View File
@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
-13
View File
@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
-13
View File
@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from math import prod
from typing import Literal, cast
lines = sys.stdin.read().splitlines()
commands = [
(cast(Literal["forward", "up", "down"], (p := line.split())[0]), int(p[1]))
for line in lines
]
def depth_and_position(use_aim: bool):
aim, pos, depth = 0, 0, 0
for command, value in commands:
d_depth = 0
match command:
case "forward":
pos += value
depth += value * aim
case "up":
d_depth = -value
case "down":
d_depth = value
if use_aim:
aim += d_depth
else:
depth += value
return depth, pos
# part 1
answer_1 = prod(depth_and_position(False))
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = prod(depth_and_position(True))
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import Counter
from typing import Literal
def generator_rating(
values: list[str], most_common: bool, default: Literal["0", "1"]
) -> str:
index = 0
most_common_idx = 0 if most_common else 1
while len(values) > 1:
cnt = Counter(value[index] for value in values)
bit = cnt.most_common(2)[most_common_idx][0]
if cnt["0"] == cnt["1"]:
bit = default
values = [value for value in values if value[index] == bit]
index += 1
return values[0]
lines = sys.stdin.read().splitlines()
# part 1
most_and_least_common = [
tuple(Counter(line[col] for line in lines).most_common(2)[m][0] for m in range(2))
for col in range(len(lines[0]))
]
gamma_rate = int("".join(most for most, _ in most_and_least_common), base=2)
epsilon_rate = int("".join(least for _, least in most_and_least_common), base=2)
print(f"answer 1 is {gamma_rate * epsilon_rate}")
# part 2
oxygen_generator_rating = int(generator_rating(lines, True, "1"), base=2)
co2_scrubber_rating = int(generator_rating(lines, False, "0"), base=2)
answer_2 = oxygen_generator_rating * co2_scrubber_rating
print(f"answer 2 is {answer_2}")
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import sys
import numpy as np
lines = sys.stdin.read().splitlines()
numbers = [int(c) for c in lines[0].split(",")]
boards = np.asarray(
[
[[int(c) for c in line.split()] for line in lines[start : start + 5]]
for start in range(2, len(lines), 6)
]
)
# (round, score) for each board (-1 when not found)
winning_rounds: list[tuple[int, int]] = [(-1, -1) for _ in range(len(boards))]
marked = np.zeros_like(boards, dtype=bool)
for round, number in enumerate(numbers):
# mark boards
marked[boards == number] = True
# check each board for winning
for index in range(len(boards)):
if winning_rounds[index][0] > 0:
continue
if np.any(np.all(marked[index], axis=0) | np.all(marked[index], axis=1)):
winning_rounds[index] = (
round,
number * int(np.sum(boards[index][~marked[index]])),
)
# all boards are winning - break
if np.all(marked.all(axis=1) | marked.all(axis=2)):
break
# part 1
(_, score) = min(winning_rounds, key=lambda w: w[0])
print(f"answer 1 is {score}")
# part 2
(_, score) = max(winning_rounds, key=lambda w: w[0])
print(f"answer 2 is {score}")
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import sys
import numpy as np
lines: list[str] = sys.stdin.read().splitlines()
sections: list[tuple[tuple[int, int], tuple[int, int]]] = [
(
(
int(line.split(" -> ")[0].split(",")[0]),
int(line.split(" -> ")[0].split(",")[1]),
),
(
int(line.split(" -> ")[1].split(",")[0]),
int(line.split(" -> ")[1].split(",")[1]),
),
)
for line in lines
]
np_sections = np.array(sections).reshape(-1, 4)
x_min, x_max, y_min, y_max = (
min(np_sections[:, 0].min(), np_sections[:, 2].min()),
max(np_sections[:, 0].max(), np_sections[:, 2].max()),
min(np_sections[:, 1].min(), np_sections[:, 3].min()),
max(np_sections[:, 1].max(), np_sections[:, 3].max()),
)
counts_1 = np.zeros((y_max + 1, x_max + 1), dtype=int)
counts_2 = counts_1.copy()
for (x1, y1), (x2, y2) in sections:
x_rng = range(x1, x2 + 1, 1) if x2 >= x1 else range(x1, x2 - 1, -1)
y_rng = range(y1, y2 + 1, 1) if y2 >= y1 else range(y1, y2 - 1, -1)
if x1 == x2 or y1 == y2:
counts_1[list(y_rng), list(x_rng)] += 1
counts_2[list(y_rng), list(x_rng)] += 1
elif abs(x2 - x1) == abs(y2 - y1):
for i, j in zip(y_rng, x_rng):
counts_2[i, j] += 1
answer_1 = (counts_1 >= 2).sum()
print(f"answer 1 is {answer_1}")
answer_2 = (counts_2 >= 2).sum()
print(f"answer 2 is {answer_2}")
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import sys
values = [int(c) for c in sys.stdin.read().strip().split(",")]
days = 256
lanterns = {day: 0 for day in range(days)}
for value in values:
for day in range(value, days, 7):
lanterns[day] += 1
for day in range(days):
for day2 in range(day + 9, days, 7):
lanterns[day2] += lanterns[day]
# part 1
answer_1 = sum(v for k, v in lanterns.items() if k < 80) + len(values)
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = sum(lanterns.values()) + len(values)
print(f"answer 2 is {answer_2}")
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import sys
import numpy as np
positions = np.asarray([int(c) for c in sys.stdin.read().strip().split(",")])
min_position, max_position = positions.min(), positions.max()
# part 1
answer_1 = min(
np.sum(np.abs(positions - position))
for position in range(min_position, max_position + 1)
)
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = min(
np.sum(abs(positions - position) * (abs(positions - position) + 1) // 2)
for position in range(min_position, max_position + 1)
)
print(f"answer 2 is {answer_2}")
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import itertools
import os
import sys
VERBOSE = os.getenv("AOC_VERBOSE") == "True"
digits = {
"abcefg": 0,
"cf": 1,
"acdeg": 2,
"acdfg": 3,
"bcdf": 4,
"abdfg": 5,
"abdefg": 6,
"acf": 7,
"abcdefg": 8,
"abcdfg": 9,
}
lines = sys.stdin.read().splitlines()
# part 1
lengths = {len(k) for k, v in digits.items() if v in (1, 4, 7, 8)}
answer_1 = sum(
len(p) in lengths for line in lines for p in line.split("|")[1].strip().split()
)
print(f"answer 1 is {answer_1}")
# part 2
values: list[int] = []
for line in lines:
parts = line.split("|")
broken_digits = sorted(parts[0].strip().split(), key=len)
per_length = {
k: list(v)
for k, v in itertools.groupby(sorted(broken_digits, key=len), key=len)
}
# a can be found immediately
a = next(u for u in per_length[3][0] if u not in per_length[2][0])
# c and f have only two possible values corresponding to the single entry of
# length 2
cf = list(per_length[2][0])
# the only digit of length 4 contains bcdf, so we can deduce bd by removing cf
bd = [u for u in per_length[4][0] if u not in cf]
# the 3 digits of length 5 have a, d and g in common
adg = [u for u in per_length[5][0] if all(u in pe for pe in per_length[5][1:])]
# we can remove a
dg = [u for u in adg if u != a]
# we can deduce d and g
d = next(u for u in dg if u in bd)
g = next(u for u in dg if u != d)
# then b
b = next(u for u in bd if u != d)
# f is in the three 6-length digits, while c is only in 2
f = next(u for u in cf if all(u in p for p in per_length[6]))
# c is not f
c = next(u for u in cf if u != f)
# e is the last one
e = next(u for u in "abcdefg" if u not in {a, b, c, d, f, g})
mapping = dict(zip((a, b, c, d, e, f, g), "abcdefg"))
value = 0
for number in parts[1].strip().split():
digit = "".join(sorted(mapping[c] for c in number))
value = 10 * value + digits[digit]
if VERBOSE:
print(value)
values.append(value)
answer_2 = sum(values)
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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@@ -1,7 +0,0 @@
import sys
blocks = sys.stdin.read().split("\n\n")
values = sorted(sum(map(int, block.split())) for block in blocks)
print(f"answer 1 is {values[-1]}")
print(f"answer 2 is {sum(values[-3:])}")
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import sys
lines = sys.stdin.read().splitlines()
cycle = 1
x = 1
values = {cycle: x}
for line in lines:
cycle += 1
if line == "noop":
pass
else:
r = int(line.split()[1])
values[cycle] = x
cycle += 1
x += r
values[cycle] = x
answer_1 = sum(c * values[c] for c in range(20, max(values.keys()) + 1, 40))
print(f"answer 1 is {answer_1}")
for i in range(6):
for j in range(40):
v = values[1 + i * 40 + j]
if j >= v - 1 and j <= v + 1:
print("#", end="")
else:
print(".", end="")
print()
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import heapq
import sys
from typing import Callable, Iterator, TypeVar
Node = TypeVar("Node")
def dijkstra(
start: Node,
neighbors: Callable[[Node], Iterator[Node]],
cost: Callable[[Node, Node], float],
) -> tuple[dict[Node, float], dict[Node, Node]]:
"""
Compute shortest paths from one node to all reachable ones.
Args:
start: Starting node.
neighbors: Function returning the neighbors of a node.
cost: Function to compute the cost of an edge.
Returns:
A tuple (lengths, parents) where lengths is a mapping from Node to distance
(from the starting node) and parents a mapping from parents Node (in the
shortest path). If keyset of lengths and parents is the same. If a Node is not
in the mapping, it cannot be reached from the starting node.
"""
queue: list[tuple[float, Node]] = []
visited: set[Node] = set()
lengths: dict[Node, float] = {start: 0}
parents: dict[Node, Node] = {}
heapq.heappush(queue, (0, start))
while queue:
length, current = heapq.heappop(queue)
if current in visited:
continue
visited.add(current)
for neighbor in neighbors(current):
if neighbor in visited:
continue
neighbor_cost = length + cost(current, neighbor)
if neighbor_cost < lengths.get(neighbor, float("inf")):
lengths[neighbor] = neighbor_cost
parents[neighbor] = current
heapq.heappush(queue, (neighbor_cost, neighbor))
return lengths, parents
def make_path(parents: dict[Node, Node], start: Node, end: Node) -> list[Node] | None:
if end not in parents:
return None
path: list[Node] = [end]
while path[-1] is not start:
path.append(parents[path[-1]])
return list(reversed(path))
def print_path(path: list[tuple[int, int]], n_rows: int, n_cols: int) -> None:
end = path[-1]
graph = [["." for _c in range(n_cols)] for _r in range(n_rows)]
graph[end[0]][end[1]] = "E"
for i in range(0, len(path) - 1):
cr, cc = path[i]
nr, nc = path[i + 1]
if cr == nr and nc == cc - 1:
graph[cr][cc] = "<"
elif cr == nr and nc == cc + 1:
graph[cr][cc] = ">"
elif cr == nr - 1 and nc == cc:
graph[cr][cc] = "v"
elif cr == nr + 1 and nc == cc:
graph[cr][cc] = "^"
else:
assert False, "{} -> {} infeasible".format(path[i], path[i + 1])
print("\n".join("".join(row) for row in graph))
def neighbors(
grid: list[list[int]], node: tuple[int, int], up: bool
) -> Iterator[tuple[int, int]]:
n_rows = len(grid)
n_cols = len(grid[0])
c_row, c_col = node
for n_row, n_col in (
(c_row - 1, c_col),
(c_row + 1, c_col),
(c_row, c_col - 1),
(c_row, c_col + 1),
):
if not (n_row >= 0 and n_row < n_rows and n_col >= 0 and n_col < n_cols):
continue
if up and grid[n_row][n_col] > grid[c_row][c_col] + 1:
continue
elif not up and grid[n_row][n_col] < grid[c_row][c_col] - 1:
continue
yield n_row, n_col
# === main code ===
lines = sys.stdin.read().splitlines()
grid = [[ord(cell) - ord("a") for cell in line] for line in lines]
start: tuple[int, int]
end: tuple[int, int]
# for part 2
start_s: list[tuple[int, int]] = []
for i_row, row in enumerate(grid):
for i_col, col in enumerate(row):
if chr(col + ord("a")) == "S":
start = (i_row, i_col)
start_s.append(start)
elif chr(col + ord("a")) == "E":
end = (i_row, i_col)
elif col == 0:
start_s.append((i_row, i_col))
# fix values
grid[start[0]][start[1]] = 0
grid[end[0]][end[1]] = ord("z") - ord("a")
lengths_1, parents_1 = dijkstra(
start=start, neighbors=lambda n: neighbors(grid, n, True), cost=lambda lhs, rhs: 1
)
path_1 = make_path(parents_1, start, end)
assert path_1 is not None
print_path(path_1, n_rows=len(grid), n_cols=len(grid[0]))
print(f"answer 1 is {lengths_1[end] - 1}")
lengths_2, parents_2 = dijkstra(
start=end, neighbors=lambda n: neighbors(grid, n, False), cost=lambda lhs, rhs: 1
)
answer_2 = min(lengths_2.get(start, float("inf")) for start in start_s)
print(f"answer 2 is {answer_2}")
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import sys
from enum import Enum, auto
from typing import Callable, cast
class Cell(Enum):
AIR = auto()
ROCK = auto()
SAND = auto()
def __str__(self) -> str:
return {Cell.AIR: ".", Cell.ROCK: "#", Cell.SAND: "O"}[self]
def print_blocks(blocks: dict[tuple[int, int], Cell]):
"""
Print the given set of blocks on a grid.
Args:
blocks: Set of blocks to print.
"""
x_min, y_min, x_max, y_max = (
min(x for x, _ in blocks),
0,
max(x for x, _ in blocks),
max(y for _, y in blocks),
)
for y in range(y_min, y_max + 1):
print(
"".join(str(blocks.get((x, y), Cell.AIR)) for x in range(x_min, x_max + 1))
)
def flow(
blocks: dict[tuple[int, int], Cell],
stop_fn: Callable[[int, int], bool],
fill_fn: Callable[[int, int], Cell],
) -> dict[tuple[int, int], Cell]:
"""
Flow sands onto the given set of blocks
Args:
blocks: Blocks containing ROCK position. Modified in-place.
stop_fn: Function called with the last (assumed) position of a grain of
sand BEFORE adding it to blocks. If the function returns True, the grain
is added and a new one is flowed, otherwise, the whole procedure stops
and the function returns (without adding the final grain).
fill_fn: Function called when the target position of a grain (during the
flowing process) is missing from blocks.
Returns:
The input blocks.
"""
y_max = max(y for _, y in blocks)
while True:
x, y = 500, 0
while y <= y_max:
moved = False
for cx, cy in ((x, y + 1), (x - 1, y + 1), (x + 1, y + 1)):
if (cx, cy) not in blocks and fill_fn(cx, cy) == Cell.AIR:
x, y = cx, cy
moved = True
elif blocks[cx, cy] == Cell.AIR:
x, y = cx, cy
moved = True
if moved:
break
if not moved:
break
if stop_fn(x, y):
break
blocks[x, y] = Cell.SAND
return blocks
# === inputs ===
lines = sys.stdin.read().splitlines()
paths: list[list[tuple[int, int]]] = []
for line in lines:
parts = line.split(" -> ")
paths.append(
[
cast(tuple[int, int], tuple(int(c.strip()) for c in part.split(",")))
for part in parts
]
)
blocks: dict[tuple[int, int], Cell] = {}
for path in paths:
for start, end in zip(path[:-1], path[1:]):
x_start = min(start[0], end[0])
x_end = max(start[0], end[0]) + 1
y_start = min(start[1], end[1])
y_end = max(start[1], end[1]) + 1
for x in range(x_start, x_end):
for y in range(y_start, y_end):
blocks[x, y] = Cell.ROCK
print_blocks(blocks)
print()
x_min, y_min, x_max, y_max = (
min(x for x, _ in blocks),
0,
max(x for x, _ in blocks),
max(y for _, y in blocks),
)
# === part 1 ===
blocks_1 = flow(
blocks.copy(), stop_fn=lambda x, y: y > y_max, fill_fn=lambda x, y: Cell.AIR
)
print_blocks(blocks_1)
print(f"answer 1 is {sum(v == Cell.SAND for v in blocks_1.values())}")
print()
# === part 2 ===
blocks_2 = flow(
blocks.copy(),
stop_fn=lambda x, y: x == 500 and y == 0,
fill_fn=lambda x, y: Cell.AIR if y < y_max + 2 else Cell.ROCK,
)
blocks_2[500, 0] = Cell.SAND
print_blocks(blocks_2)
print(f"answer 2 is {sum(v == Cell.SAND for v in blocks_2.values())}")
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import sys
import numpy as np
import parse
def part1(sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], row: int) -> int:
no_beacons_row_l: list[np.ndarray] = []
for (sx, sy), (bx, by) in sensor_to_beacon.items():
d = abs(sx - bx) + abs(sy - by) # closest
no_beacons_row_l.append(sx - np.arange(0, d - abs(sy - row) + 1))
no_beacons_row_l.append(sx + np.arange(0, d - abs(sy - row) + 1))
beacons_at_row = set(bx for (bx, by) in sensor_to_beacon.values() if by == row)
no_beacons_row = set(np.concatenate(no_beacons_row_l)).difference(beacons_at_row)
return len(no_beacons_row)
def part2_intervals(
sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], xy_max: int
) -> tuple[int, int, int]:
from tqdm import trange
for y in trange(xy_max + 1):
its: list[tuple[int, int]] = []
for (sx, sy), (bx, by) in sensor_to_beacon.items():
d = abs(sx - bx) + abs(sy - by)
dx = d - abs(sy - y)
if dx >= 0:
its.append((max(0, sx - dx), min(sx + dx, xy_max)))
its = sorted(its)
_, e = its[0]
for si, ei in its[1:]:
if si > e + 1:
return si - 1, y, 4_000_000 * (si - 1) + y
if ei > e:
e = ei
return (0, 0, 0)
def part2_cplex(
sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], xy_max: int
) -> tuple[int, int, int]:
from docplex.mp.model import Model
m = Model()
x, y = m.continuous_var_list(2, ub=xy_max, name=["x", "y"])
for (sx, sy), (bx, by) in sensor_to_beacon.items():
d = abs(sx - bx) + abs(sy - by)
m.add_constraint(m.abs(x - sx) + m.abs(y - sy) >= d + 1, ctname=f"ct_{sx}_{sy}")
m.set_objective("min", x + y)
s = m.solve()
vx = int(s.get_value(x))
vy = int(s.get_value(y))
return vx, vy, 4_000_000 * vx + vy
lines = sys.stdin.read().splitlines()
sensor_to_beacon: dict[tuple[int, int], tuple[int, int]] = {}
for line in lines:
r = parse.parse(
"Sensor at x={sx}, y={sy}: closest beacon is at x={bx}, y={by}", line
)
sensor_to_beacon[int(r["sx"]), int(r["sy"])] = (int(r["bx"]), int(r["by"]))
xy_max = 4_000_000 if max(sensor_to_beacon) > (1_000, 0) else 20
row = 2_000_000 if max(sensor_to_beacon) > (1_000, 0) else 10
print(f"answer 1 is {part1(sensor_to_beacon, row)}")
# x, y, a2 = part2_cplex(sensor_to_beacon, xy_max)
x, y, a2 = part2_intervals(sensor_to_beacon, xy_max)
print(f"answer 2 is {a2} (x={x}, y={y})")
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from __future__ import annotations
import heapq
import itertools
import re
import sys
from collections import defaultdict
from typing import FrozenSet, NamedTuple
from tqdm import tqdm
class Pipe(NamedTuple):
name: str
flow: int
tunnels: list[str]
def __lt__(self, other: object) -> bool:
return isinstance(other, Pipe) and other.name < self.name
def __eq__(self, other: object) -> bool:
return isinstance(other, Pipe) and other.name == self.name
def __hash__(self) -> int:
return hash(self.name)
def __str__(self) -> str:
return self.name
def __repr__(self) -> str:
return self.name
def breadth_first_search(pipes: dict[str, Pipe], pipe: Pipe) -> dict[Pipe, int]:
"""
Runs a BFS from the given pipe and return the shortest distance (in term of hops)
to all other pipes.
"""
queue = [(0, pipe_1)]
visited = set()
distances: dict[Pipe, int] = {}
while len(distances) < len(pipes):
distance, current = heapq.heappop(queue)
if current in visited:
continue
visited.add(current)
distances[current] = distance
for tunnel in current.tunnels:
heapq.heappush(queue, (distance + 1, pipes[tunnel]))
return distances
def update_with_better(
node_at_times: dict[FrozenSet[Pipe], int], flow: int, flowing: FrozenSet[Pipe]
) -> None:
node_at_times[flowing] = max(node_at_times[flowing], flow)
def part_1(
start_pipe: Pipe,
max_time: int,
distances: dict[tuple[Pipe, Pipe], int],
relevant_pipes: FrozenSet[Pipe],
):
node_at_times: dict[int, dict[Pipe, dict[FrozenSet[Pipe], int]]] = defaultdict(
lambda: defaultdict(lambda: defaultdict(lambda: 0))
)
node_at_times[0] = {start_pipe: {frozenset(): 0}}
for time in range(max_time):
for c_pipe, nodes in node_at_times[time].items():
for flowing, flow in nodes.items():
for target in relevant_pipes:
distance = distances[c_pipe, target] + 1
if time + distance >= max_time or target in flowing:
continue
update_with_better(
node_at_times[time + distance][target],
flow + sum(pipe.flow for pipe in flowing) * distance,
flowing | {target},
)
update_with_better(
node_at_times[max_time][c_pipe],
flow + sum(pipe.flow for pipe in flowing) * (max_time - time),
flowing,
)
return max(
flow
for nodes_of_pipe in node_at_times[max_time].values()
for flow in nodes_of_pipe.values()
)
def part_2(
start_pipe: Pipe,
max_time: int,
distances: dict[tuple[Pipe, Pipe], int],
relevant_pipes: FrozenSet[Pipe],
):
def compute(pipes_for_me: FrozenSet[Pipe]) -> int:
return part_1(start_pipe, max_time, distances, pipes_for_me) + part_1(
start_pipe, max_time, distances, relevant_pipes - pipes_for_me
)
combs = [
frozenset(relevant_pipes_1)
for r in range(2, len(relevant_pipes) // 2 + 1)
for relevant_pipes_1 in itertools.combinations(relevant_pipes, r)
]
return max(compute(comb) for comb in tqdm(combs))
# === MAIN ===
lines = sys.stdin.read().splitlines()
pipes: dict[str, Pipe] = {}
for line in lines:
r = re.match(
R"Valve ([A-Z]+) has flow rate=([0-9]+); tunnels? leads? to valves? (.+)",
line,
)
assert r
g = r.groups()
pipes[g[0]] = Pipe(g[0], int(g[1]), g[2].split(", "))
# compute distances from one valve to any other
distances: dict[tuple[Pipe, Pipe], int] = {}
for pipe_1 in pipes.values():
distances.update(
{
(pipe_1, pipe_2): distance
for pipe_2, distance in breadth_first_search(pipes, pipe_1).items()
}
)
# valves with flow
relevant_pipes = frozenset(pipe for pipe in pipes.values() if pipe.flow > 0)
# 1651, 1653
print(part_1(pipes["AA"], 30, distances, relevant_pipes))
# 1707, 2223
print(part_2(pipes["AA"], 26, distances, relevant_pipes))
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import sys
from typing import FrozenSet
import numpy as np
xyz = np.asarray(
[
tuple(int(x) for x in row.split(",")) # type: ignore
for row in sys.stdin.read().splitlines()
]
)
xyz = xyz - xyz.min(axis=0) + 1
cubes = np.zeros(xyz.max(axis=0) + 3, dtype=bool)
cubes[xyz[:, 0], xyz[:, 1], xyz[:, 2]] = True
n_dims = len(cubes.shape)
faces = [(-1, 0, 0), (1, 0, 0), (0, -1, 0), (0, 1, 0), (0, 0, -1), (0, 0, 1)]
answer_1 = sum(
1 for x, y, z in xyz for dx, dy, dz in faces if not cubes[x + dx, y + dy, z + dz]
)
print(f"answer 1 is {answer_1}")
visited = np.zeros_like(cubes, dtype=bool)
queue = [(0, 0, 0)]
n_faces = 0
while queue:
x, y, z = queue.pop(0)
if visited[x, y, z]:
continue
visited[x, y, z] = True
for dx, dy, dz in faces:
nx, ny, nz = x + dx, y + dy, z + dz
if not all(n >= 0 and n < cubes.shape[i] for i, n in enumerate((nx, ny, nz))):
continue
if visited[nx, ny, nz]:
continue
if cubes[nx, ny, nz]:
n_faces += 1
else:
queue.append((nx, ny, nz))
print(f"answer 2 is {n_faces}")
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import re
import sys
from typing import Callable
import numpy as np
VOID, EMPTY, WALL = 0, 1, 2
TILE_FROM_CHAR = {" ": VOID, ".": EMPTY, "#": WALL}
SCORES = {"E": 0, "S": 1, "W": 2, "N": 3}
board_map_s, direction_s = sys.stdin.read().split("\n\n")
# board
board_lines = board_map_s.splitlines()
max_line = max(len(line) for line in board_lines)
board = np.array(
[
[TILE_FROM_CHAR[c] for c in row] + [VOID] * (max_line - len(row))
for row in board_map_s.splitlines()
]
)
directions = [
int(p1) if p2 else p1 for p1, p2 in re.findall(R"(([0-9])+|L|R)", direction_s)
]
# find on each row and column the first and last non-void
row_first_non_void = np.argmax(board != VOID, axis=1)
row_last_non_void = board.shape[1] - np.argmax(board[:, ::-1] != VOID, axis=1) - 1
col_first_non_void = np.argmax(board != VOID, axis=0)
col_last_non_void = board.shape[0] - np.argmax(board[::-1, :] != VOID, axis=0) - 1
faces = np.zeros_like(board)
size = np.gcd(board.shape[0], board.shape[1])
for row in range(0, board.shape[0], size):
for col in range(row_first_non_void[row], row_last_non_void[row], size):
faces[row : row + size, col : col + size] = faces.max() + 1
SIZE = np.gcd(*board.shape)
# TODO: deduce this from the actual cube...
faces_wrap: dict[int, dict[str, Callable[[int, int], tuple[int, int, str]]]]
if board.shape == (12, 16): # example
faces_wrap = {
1: {
"W": lambda y, x: (4, 4 + y, "S"), # 3N
"N": lambda y, x: (4, 11 - x, "S"), # 2N
"E": lambda y, x: (11 - y, 15, "W"), # 6E
},
2: {
"W": lambda y, x: (11, 19 - y, "N"), # 6S
"N": lambda y, x: (0, 11 - y, "S"), # 1N
"S": lambda y, x: (11, 11 - x, "N"), # 5S
},
3: {
"N": lambda y, x: (x - 4, 8, "E"), # 1W
"S": lambda y, x: (15 - x, 8, "E"), # 5W
},
4: {"E": lambda y, x: (8, 19 - y, "S")}, # 6N
5: {
"W": lambda y, x: (7, 15 - y, "N"), # 3S
"S": lambda y, x: (7, 11 - x, "N"), # 2S
},
6: {
"N": lambda y, x: (19 - x, 11, "W"), # 4E
"E": lambda y, x: (11 - y, 11, "W"), # 1E
"S": lambda y, x: (19 - x, 0, "E"), # 2W
},
}
else:
faces_wrap = {
1: {
"W": lambda y, x: (3 * SIZE - y - 1, 0, "E"), # 4W
"N": lambda y, x: (2 * SIZE + x, 0, "E"), # 6W
},
2: {
"N": lambda y, x: (4 * SIZE - 1, x - 2 * SIZE, "N"), # 6S
"E": lambda y, x: (3 * SIZE - y - 1, 2 * SIZE - 1, "W"), # 5E
"S": lambda y, x: (x - SIZE, 2 * SIZE - 1, "W"), # 3E
},
3: {
"W": lambda y, x: (2 * SIZE, y - SIZE, "S"), # 4N
"E": lambda y, x: (SIZE - 1, SIZE + y, "N"), # 2S
},
4: {
"W": lambda y, x: (3 * SIZE - y - 1, SIZE, "E"), # 1W
"N": lambda y, x: (SIZE + x, SIZE, "E"), # 3W
},
5: {
"E": lambda y, x: (3 * SIZE - y - 1, 3 * SIZE - 1, "W"), # 2E
"S": lambda y, x: (2 * SIZE + x, SIZE - 1, "W"), # 6E
},
6: {
"W": lambda y, x: (0, y - 2 * SIZE, "S"), # 1N
"E": lambda y, x: (3 * SIZE - 1, y - 2 * SIZE, "N"), # 5S
"S": lambda y, x: (0, x + 2 * SIZE, "S"), # 2N
},
}
def wrap_part_1(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
if r0 == "E":
return y0, row_first_non_void[y0], r0
elif r0 == "S":
return col_first_non_void[x0], x0, r0
elif r0 == "W":
return y0, row_last_non_void[y0], r0
elif r0 == "N":
return col_last_non_void[x0], x0, r0
assert False
def wrap_part_2(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
cube = faces[y0, x0]
assert r0 in faces_wrap[cube]
return faces_wrap[cube][r0](y0, x0)
def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int, str]:
y0 = 0
x0 = np.where(board[0] == EMPTY)[0][0]
r0 = "E"
for direction in directions:
if isinstance(direction, int):
while direction > 0:
if r0 == "E":
xi = np.where(board[y0, x0 + 1 : x0 + direction + 1] == WALL)[0]
if len(xi):
x0 = x0 + xi[0]
direction = 0
elif (
x0 + direction < board.shape[1]
and board[y0, x0 + direction] == EMPTY
):
x0 = x0 + direction
direction = 0
else:
y0_t, x0_t, r0_t = wrap(y0, x0, r0)
if board[y0_t, x0_t] == WALL:
x0 = row_last_non_void[y0]
direction = 0
else:
direction = direction - (row_last_non_void[y0] - x0) - 1
y0, x0, r0 = y0_t, x0_t, r0_t
elif r0 == "S":
yi = np.where(board[y0 + 1 : y0 + direction + 1, x0] == WALL)[0]
if len(yi):
y0 = y0 + yi[0]
direction = 0
elif (
y0 + direction < board.shape[0]
and board[y0 + direction, x0] == EMPTY
):
y0 = y0 + direction
direction = 0
else:
y0_t, x0_t, r0_t = wrap(y0, x0, r0)
if board[y0_t, x0_t] == WALL:
y0 = col_last_non_void[x0]
direction = 0
else:
direction = direction - (col_last_non_void[x0] - y0) - 1
y0, x0, r0 = y0_t, x0_t, r0_t
elif r0 == "W":
left = max(x0 - direction - 1, 0)
xi = np.where(board[y0, left:x0] == WALL)[0]
if len(xi):
x0 = left + xi[-1] + 1
direction = 0
elif x0 - direction >= 0 and board[y0, x0 - direction] == EMPTY:
x0 = x0 - direction
direction = 0
else:
y0_t, x0_t, r0_t = wrap(y0, x0, r0)
if board[y0_t, x0_t] == WALL:
x0 = row_first_non_void[y0]
direction = 0
else:
direction = direction - (x0 - row_first_non_void[y0]) - 1
y0, x0, r0 = y0_t, x0_t, r0_t
elif r0 == "N":
top = max(y0 - direction - 1, 0)
yi = np.where(board[top:y0, x0] == WALL)[0]
if len(yi):
y0 = top + yi[-1] + 1
direction = 0
elif y0 - direction >= 0 and board[y0 - direction, x0] == EMPTY:
y0 = y0 - direction
direction = 0
else:
y0_t, x0_t, r0_t = wrap(y0, x0, r0)
if board[y0_t, x0_t] == WALL:
y0 = col_first_non_void[x0]
direction = 0
else:
direction = direction - (y0 - col_first_non_void[x0]) - 1
y0, x0, r0 = y0_t, x0_t, r0_t
else:
r0 = {
"E": {"L": "N", "R": "S"},
"N": {"L": "W", "R": "E"},
"W": {"L": "S", "R": "N"},
"S": {"L": "E", "R": "W"},
}[r0][direction]
return y0, x0, r0
y1, x1, r1 = run(wrap_part_1)
answer_1 = 1000 * (1 + y1) + 4 * (1 + x1) + SCORES[r1]
print(f"answer 1 is {answer_1}")
y2, x2, r2 = run(wrap_part_2)
answer_2 = 1000 * (1 + y2) + 4 * (1 + x2) + SCORES[r2]
print(f"answer 2 is {answer_2}")
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import heapq
import math
import sys
from collections import defaultdict
lines = sys.stdin.read().splitlines()
winds = {
(i - 1, j - 1, lines[i][j])
for i in range(1, len(lines) - 1)
for j in range(1, len(lines[i]) - 1)
if lines[i][j] != "."
}
n_rows, n_cols = len(lines) - 2, len(lines[0]) - 2
CYCLE = math.lcm(n_rows, n_cols)
east_winds = [{j for j in range(n_cols) if (i, j, ">") in winds} for i in range(n_rows)]
west_winds = [{j for j in range(n_cols) if (i, j, "<") in winds} for i in range(n_rows)]
north_winds = [
{i for i in range(n_rows) if (i, j, "^") in winds} for j in range(n_cols)
]
south_winds = [
{i for i in range(n_rows) if (i, j, "v") in winds} for j in range(n_cols)
]
def run(start: tuple[int, int], start_cycle: int, end: tuple[int, int]):
def heuristic(y: int, x: int) -> int:
return abs(end[0] - y) + abs(end[1] - x)
# (distance + heuristic, distance, (start_pos, cycle))
queue = [(heuristic(start[0], start[1]), 0, ((start[0], start[1]), start_cycle))]
visited: set[tuple[tuple[int, int], int]] = set()
distances: dict[tuple[int, int], dict[int, int]] = defaultdict(lambda: {})
while queue:
_, distance, ((y, x), cycle) = heapq.heappop(queue)
if ((y, x), cycle) in visited:
continue
distances[y, x][cycle] = distance
visited.add(((y, x), cycle))
if (y, x) == (end[0], end[1]):
break
for dy, dx in (0, 0), (-1, 0), (1, 0), (0, -1), (0, 1):
ty = y + dy
tx = x + dx
n_cycle = (cycle + 1) % CYCLE
if (ty, tx) == end:
heapq.heappush(queue, (distance + 1, distance + 1, ((ty, tx), n_cycle)))
break
if ((ty, tx), n_cycle) in visited:
continue
if (ty, tx) != start and (ty < 0 or tx < 0 or ty >= n_rows or tx >= n_cols):
continue
if (ty, tx) != start:
if (ty - n_cycle) % n_rows in south_winds[tx]:
continue
if (ty + n_cycle) % n_rows in north_winds[tx]:
continue
if (tx + n_cycle) % n_cols in west_winds[ty]:
continue
if (tx - n_cycle) % n_cols in east_winds[ty]:
continue
heapq.heappush(
queue,
((heuristic(ty, tx) + distance + 1, distance + 1, ((ty, tx), n_cycle))),
)
return distances, next(iter(distances[end].values()))
start = (
-1,
next(j for j in range(1, len(lines[0]) - 1) if lines[0][j] == ".") - 1,
)
end = (
n_rows,
next(j for j in range(1, len(lines[-1]) - 1) if lines[-1][j] == ".") - 1,
)
distances_1, forward_1 = run(start, 0, end)
print(f"answer 1 is {forward_1}")
distances_2, return_1 = run(end, next(iter(distances_1[end].keys())), start)
distances_3, forward_2 = run(start, next(iter(distances_2[start].keys())), end)
print(f"answer 2 is {forward_1 + return_1 + forward_2}")
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import sys
lines = sys.stdin.read().splitlines()
coeffs = {"2": 2, "1": 1, "0": 0, "-": -1, "=": -2}
def snafu2number(number: str) -> int:
value = 0
for c in number:
value *= 5
value += coeffs[c]
return value
def number2snafu(number: int) -> str:
values = ["0", "1", "2", "=", "-"]
res = ""
while number > 0:
mod = number % 5
res = res + values[mod]
number = number // 5 + int(mod >= 3)
return "".join(reversed(res))
answer_1 = number2snafu(sum(map(snafu2number, lines)))
print(f"answer 1 is {answer_1}")
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import string
import sys
lines = [line.strip() for line in sys.stdin.readlines()]
# extract content of each part
parts = [(set(line[: len(line) // 2]), set(line[len(line) // 2 :])) for line in lines]
# priorities
priorities = {c: i + 1 for i, c in enumerate(string.ascii_letters)}
# part 1
part1 = sum(priorities[c] for p1, p2 in parts for c in p1.intersection(p2))
print(f"answer 1 is {part1}")
# part 2
n_per_group = 3
part2 = sum(
priorities[c]
for i in range(0, len(lines), n_per_group)
for c in set(lines[i]).intersection(*lines[i + 1 : i + n_per_group])
)
print(f"answer 2 is {part2}")
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import sys
lines = [line.strip() for line in sys.stdin.readlines()]
def make_range(value: str) -> set[int]:
parts = value.split("-")
return set(range(int(parts[0]), int(parts[1]) + 1))
sections = [tuple(make_range(part) for part in line.split(",")) for line in lines]
answer_1 = sum(s1.issubset(s2) or s2.issubset(s1) for s1, s2 in sections)
print(f"answer 1 is {answer_1}")
answer_2 = sum(bool(s1.intersection(s2)) for s1, s2 in sections)
print(f"answer 1 is {answer_2}")
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import copy
import sys
blocks_s, moves_s = (part.splitlines() for part in sys.stdin.read().split("\n\n"))
blocks: dict[str, list[str]] = {stack: [] for stack in blocks_s[-1].split()}
# this codes assumes that the lines are regular, i.e., 4 characters per "crate" in the
# form of '[X] ' (including the trailing space)
#
for block in blocks_s[-2::-1]:
for stack, index in zip(blocks, range(0, len(block), 4)):
crate = block[index + 1 : index + 2].strip()
if crate:
blocks[stack].append(crate)
# part 1 - deep copy for part 2
blocks_1 = copy.deepcopy(blocks)
for move in moves_s:
_, count_s, _, from_, _, to_ = move.strip().split()
for _i in range(int(count_s)):
blocks_1[to_].append(blocks_1[from_].pop())
# part 2
blocks_2 = copy.deepcopy(blocks)
for move in moves_s:
_, count_s, _, from_, _, to_ = move.strip().split()
count = int(count_s)
blocks_2[to_].extend(blocks_2[from_][-count:])
del blocks_2[from_][-count:]
answer_1 = "".join(s[-1] for s in blocks_1.values())
print(f"answer 1 is {answer_1}")
answer_2 = "".join(s[-1] for s in blocks_2.values())
print(f"answer 2 is {answer_2}")
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import sys
def index_of_first_n_differents(data: str, n: int) -> int:
for i in range(len(data)):
if len(set(data[i : i + n])) == n:
return i + n
return -1
data = sys.stdin.read().strip()
print(f"answer 1 is {index_of_first_n_differents(data, 4)}")
print(f"answer 2 is {index_of_first_n_differents(data, 14)}")
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import sys
from pathlib import Path
lines = sys.stdin.read().splitlines()
# we are going to use Path to create path and go up/down in the file tree since it
# implements everything we need
#
# we can use .resolve() to get normalized path, although this will add C:\ to all paths
# on Windows but that is not an issue since only the sizes matter
#
# mapping from path to list of files or directories
trees: dict[Path, list[Path]] = {}
# mapping from paths to either size (for file) or -1 for directory
sizes: dict[Path, int] = {}
# first line must be a cd otherwise we have no idea where we are
assert lines[0].startswith("$ cd")
base_path = Path(lines[0].strip("$").split()[1]).resolve()
cur_path = base_path
trees[cur_path] = []
sizes[cur_path] = -1
for line in lines[1:]:
# command
if line.startswith("$"):
parts = line.strip("$").strip().split()
command = parts[0]
if command == "cd":
cur_path = cur_path.joinpath(parts[1]).resolve()
# just initialize the lis of files if not already done
if cur_path not in trees:
trees[cur_path] = []
else:
# nothing to do here
pass
# fill the current path
else:
parts = line.split()
name: str = parts[1]
if line.startswith("dir"):
size = -1
else:
size = int(parts[0])
path = cur_path.joinpath(name)
trees[cur_path].append(path)
sizes[path] = size
def compute_size(path: Path) -> int:
size = sizes[path]
if size >= 0:
return size
return sum(compute_size(sub) for sub in trees[path])
acc_sizes = {path: compute_size(path) for path in trees}
# part 1
answer_1 = sum(size for size in acc_sizes.values() if size <= 100_000)
print(f"answer 1 is {answer_1}")
# part 2
total_space = 70_000_000
update_space = 30_000_000
free_space = total_space - acc_sizes[base_path]
to_free_space = update_space - free_space
answer_2 = min(size for size in acc_sizes.values() if size >= to_free_space)
print(f"answer 2 is {answer_2}")
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import sys
import numpy as np
from numpy.typing import NDArray
lines = sys.stdin.read().splitlines()
trees = np.array([[int(x) for x in row] for row in lines])
# answer 1
highest_trees = np.ones(trees.shape + (4,), dtype=int) * -1
highest_trees[1:-1, 1:-1] = [
[
[
trees[:i, j].max(),
trees[i + 1 :, j].max(),
trees[i, :j].max(),
trees[i, j + 1 :].max(),
]
for j in range(1, trees.shape[1] - 1)
]
for i in range(1, trees.shape[0] - 1)
]
answer_1 = (highest_trees.min(axis=2) < trees).sum()
print(f"answer 1 is {answer_1}")
def viewing_distance(row_of_trees: NDArray[np.int_], value: int) -> int:
w = np.where(row_of_trees >= value)[0]
if not w.size:
return len(row_of_trees)
return w[0] + 1
# answer 2
v_distances = np.zeros(trees.shape + (4,), dtype=int)
v_distances[1:-1, 1:-1, :] = [
[
[
viewing_distance(trees[i - 1 :: -1, j], trees[i, j]),
viewing_distance(trees[i, j - 1 :: -1], trees[i, j]),
viewing_distance(trees[i, j + 1 :], trees[i, j]),
viewing_distance(trees[i + 1 :, j], trees[i, j]),
]
for j in range(1, trees.shape[1] - 1)
]
for i in range(1, trees.shape[0] - 1)
]
answer_2 = np.prod(v_distances, axis=2).max()
print(f"answer 2 is {answer_2}")
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import sys
lines = sys.stdin.read().splitlines()
lookups_1 = {str(d): d for d in range(1, 10)}
lookups_2 = lookups_1 | {
d: i + 1
for i, d in enumerate(
(
"one",
"two",
"three",
"four",
"five",
"six",
"seven",
"eight",
"nine",
)
)
}
def find_values(lookups: dict[str, int]) -> list[int]:
values: list[int] = []
for line in filter(bool, lines):
first_digit = min(
lookups,
key=lambda lookup: index
if (index := line.find(lookup)) >= 0
else len(line),
)
last_digit = max(
lookups,
key=lambda lookup: index if (index := line.rfind(lookup)) >= 0 else -1,
)
values.append(10 * lookups[first_digit] + lookups[last_digit])
return values
print(f"answer 1 is {sum(find_values(lookups_1))}")
print(f"answer 2 is {sum(find_values(lookups_2))}")
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import os
import sys
from typing import Literal, cast
VERBOSE = os.getenv("AOC_VERBOSE") == "True"
Symbol = Literal["|", "-", "L", "J", "7", "F", ".", "S"]
lines: list[list[Symbol]] = [
[cast(Symbol, symbol) for symbol in line] for line in sys.stdin.read().splitlines()
]
# find starting point
si, sj = next(
(i, j)
for i in range(len(lines))
for j in range(len(lines[0]))
if lines[i][j] == "S"
)
# find one of the two outputs
ni, nj = si, sj
for ni, nj, chars in (
(si - 1, sj, "|7F"),
(si + 1, sj, "|LJ"),
(si, sj - 1, "-LF"),
(si, sj + 1, "-J7"),
):
if lines[ni][nj] in chars:
break
# part 1 - find the loop (re-used in part 2)
loop = [(si, sj), (ni, nj)]
while True:
pi, pj = loop[-2]
i, j = loop[-1]
sym = lines[i][j]
if sym == "|" and pi > i or sym in "JL" and pi == i:
i -= 1
elif sym == "|" and pi < i or sym in "7F" and pi == i:
i += 1
elif sym == "-" and pj > j or sym in "J7" and pj == j:
j -= 1
elif sym == "-" and pj < j or sym in "LF" and pj == j:
j += 1
if (i, j) == (si, sj):
break
loop.append((i, j))
answer_1 = len(loop) // 2
print(f"answer 1 is {answer_1}")
# part 2
# replace S by an appropriate character for the loop below
di1, dj1 = loop[1][0] - loop[0][0], loop[1][1] - loop[0][1]
di2, dj2 = loop[0][0] - loop[-1][0], loop[0][1] - loop[-1][1]
mapping: dict[tuple[int, int], dict[tuple[int, int], Symbol]] = {
(0, 1): {(0, 1): "-", (-1, 0): "F", (1, 0): "L"},
(0, -1): {(0, -1): "-", (-1, 0): "7", (1, 0): "J"},
(1, 0): {(1, 0): "|", (0, 1): "7", (0, -1): "F"},
(-1, 0): {(-1, 0): "|", (0, -1): "L", (0, 1): "J"},
}
lines[si][sj] = mapping[di1, dj1][di2, dj2]
# find the points inside the loop using an adaptation of ray casting for a discrete
# grid (https://stackoverflow.com/a/218081/2666289)
#
# use a set for faster '... in loop' check
#
loop_s = set(loop)
inside: set[tuple[int, int]] = set()
for i in range(len(lines)):
cnt = 0
for j in range(len(lines[0])):
if (i, j) not in loop_s and cnt % 2 == 1:
inside.add((i, j))
if (i, j) in loop_s and lines[i][j] in "|LJ":
cnt += 1
if VERBOSE:
for i in range(len(lines)):
for j in range(len(lines[0])):
if (i, j) == (si, sj):
print("\033[91mS\033[0m", end="")
elif (i, j) in loop:
print(lines[i][j], end="")
elif (i, j) in inside:
print("\033[92mI\033[0m", end="")
else:
print(".", end="")
print()
answer_2 = len(inside)
print(f"answer 2 is {answer_2}")
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import sys
import numpy as np
lines = sys.stdin.read().splitlines()
data = np.array([[c == "#" for c in line] for line in lines])
rows = {c for c in range(data.shape[0]) if not data[c, :].any()}
columns = {c for c in range(data.shape[1]) if not data[:, c].any()}
galaxies_y, galaxies_x = np.where(data) # type: ignore
def compute_total_distance(expansion: int) -> int:
distances: list[int] = []
for g1 in range(len(galaxies_y)):
x1, y1 = int(galaxies_x[g1]), int(galaxies_y[g1])
for g2 in range(g1 + 1, len(galaxies_y)):
x2, y2 = int(galaxies_x[g2]), int(galaxies_y[g2])
dx = sum(
1 + (expansion - 1) * (x in columns)
for x in range(min(x1, x2), max(x1, x2))
)
dy = sum(
1 + (expansion - 1) * (y in rows)
for y in range(min(y1, y2), max(y1, y2))
)
distances.append(dx + dy)
return sum(distances)
# part 1
answer_1 = compute_total_distance(2)
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = compute_total_distance(1000000)
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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@@ -1,13 +0,0 @@
import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import math
import sys
from typing import Literal, TypeAlias, cast
CubeType: TypeAlias = Literal["red", "blue", "green"]
MAX_CUBES: dict[CubeType, int] = {"red": 12, "green": 13, "blue": 14}
# parse games
lines = sys.stdin.read().splitlines()
games: dict[int, list[dict[CubeType, int]]] = {}
for line in filter(bool, lines):
id_part, sets_part = line.split(":")
games[int(id_part.split(" ")[-1])] = [
{
cast(CubeType, s[1]): int(s[0])
for cube_draw in cube_set_s.strip().split(", ")
if (s := cube_draw.split(" "))
}
for cube_set_s in sets_part.strip().split(";")
]
# part 1
answer_1 = sum(
id
for id, set_of_cubes in games.items()
if all(
n_cubes <= MAX_CUBES[cube]
for cube_set in set_of_cubes
for cube, n_cubes in cube_set.items()
)
)
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = sum(
math.prod(
max(cube_set.get(cube, 0) for cube_set in set_of_cubes) for cube in MAX_CUBES
)
for set_of_cubes in games.values()
)
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import sys
from collections import defaultdict
from dataclasses import dataclass
lines = sys.stdin.read().splitlines()
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")
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import string
import sys
from collections import defaultdict
NOT_A_SYMBOL = "." + string.digits
lines = sys.stdin.read().splitlines()
values: list[int] = []
gears: dict[tuple[int, int], list[int]] = defaultdict(list)
for i, line in enumerate(lines):
j = 0
while j < len(line):
# skip everything until a digit is found (start of a number)
if line[j] not in string.digits:
j += 1
continue
# extract the range of the number and its value
k = j + 1
while k < len(line) and line[k] in string.digits:
k += 1
value = int(line[j:k])
# lookup around the number if there is a symbol - we go through the number
# itself but that should not matter since it only contains digits
found = False
for i2 in range(max(0, i - 1), min(i + 1, len(lines) - 1) + 1):
for j2 in range(max(0, j - 1), min(k, len(line) - 1) + 1):
assert i2 >= 0 and i2 < len(lines)
assert j2 >= 0 and j2 < len(line)
if lines[i2][j2] not in NOT_A_SYMBOL:
found = True
if lines[i2][j2] == "*":
gears[i2, j2].append(value)
if found:
values.append(value)
# continue starting from the end of the number
j = k
# part 1
answer_1 = sum(values)
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = sum(v1 * v2 for v1, v2 in filter(lambda vs: len(vs) == 2, gears.values()))
print(f"answer 2 is {answer_2}")
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import sys
from dataclasses import dataclass
@dataclass(frozen=True)
class Card:
id: int
numbers: list[int]
values: list[int]
lines = sys.stdin.read().splitlines()
cards: list[Card] = []
for line in lines:
id_part, e_part = line.split(":")
numbers_s, values_s = e_part.split("|")
cards.append(
Card(
id=int(id_part.split()[1]),
numbers=[int(v.strip()) for v in numbers_s.strip().split()],
values=[int(v.strip()) for v in values_s.strip().split()],
)
)
winnings = [sum(1 for n in card.values if n in card.numbers) for card in cards]
# part 1
answer_1 = sum(2 ** (winning - 1) for winning in winnings if winning > 0)
print(f"answer 1 is {answer_1}")
# part 2
card2cards = {i: list(range(i + 1, i + w + 1)) for i, w in enumerate(winnings)}
card2values = {i: 0 for i in range(len(cards))}
for i in range(len(cards)):
card2values[i] += 1
for j in card2cards[i]:
card2values[j] += card2values[i]
print(f"answer 2 is {sum(card2values.values())}")
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import sys
from typing import Sequence
MAP_ORDER = [
"seed",
"soil",
"fertilizer",
"water",
"light",
"temperature",
"humidity",
"location",
]
lines = sys.stdin.read().splitlines()
# mappings from one category to another, each list contains
# ranges stored as (source, target, length), ordered by start and
# completed to have no "hole"
maps: dict[tuple[str, str], list[tuple[int, int, int]]] = {}
# parsing
index = 2
while index < len(lines):
p1, _, p2 = lines[index].split()[0].split("-")
# extract the existing ranges from the file - we store as (source, target, length)
# whereas the file is in order (target, source, length)
index += 1
values: list[tuple[int, int, int]] = []
while index < len(lines) and lines[index]:
n1, n2, n3 = lines[index].split()
values.append((int(n2), int(n1), int(n3)))
index += 1
# sort by source value
values.sort()
# add a 'fake' interval starting at 0 if missing
if values[0][0] != 0:
values.insert(0, (0, 0, values[0][0]))
# fill gaps between intervals
for i in range(len(values) - 1):
next_start = values[i + 1][0]
end = values[i][0] + values[i][2]
if next_start != end:
values.insert(
i + 1,
(end, end, next_start - end),
)
# add an interval covering values up to at least 2**32 at the end
last_start, _, last_length = values[-1]
values.append((last_start + last_length, last_start + last_length, 2**32))
assert all(v1[0] + v1[2] == v2[0] for v1, v2 in zip(values[:-1], values[1:]))
assert values[0][0] == 0
assert values[-1][0] + values[-1][-1] >= 2**32
maps[p1, p2] = values
index += 1
def find_range(
values: tuple[int, int], map: list[tuple[int, int, int]]
) -> list[tuple[int, int]]:
"""
Given an input range, use the given mapping to find the corresponding list of
ranges in the target domain.
"""
r_start, r_length = values
ranges: list[tuple[int, int]] = []
# find index of the first and last intervals in map that overlaps the input
# interval
index_start, index_end = -1, -1
for index_start, (start, _, length) in enumerate(map):
if start <= r_start and start + length > r_start:
break
for index_end, (start, _, length) in enumerate(
map[index_start:], start=index_start
):
if r_start + r_length >= start and r_start + r_length < start + length:
break
assert index_start >= 0 and index_end >= 0
# special case if one interval contains everything
if index_start == index_end:
start, target, length = map[index_start]
ranges.append((target + r_start - start, r_length))
else:
# add the start interval part
start, target, length = map[index_start]
ranges.append((target + r_start - start, start + length - r_start))
# add all intervals between the first and last (excluding both)
index = index_start + 1
while index < index_end:
start, target, length = map[index]
ranges.append((target, length))
index += 1
# add the last interval
start, target, length = map[index_end]
ranges.append((target, r_start + r_length - start))
return ranges
def find_location_ranges(seeds: Sequence[tuple[int, int]]) -> Sequence[tuple[int, int]]:
for map1, map2 in zip(MAP_ORDER[:-1], MAP_ORDER[1:]):
seeds = [s2 for s1 in seeds for s2 in find_range(s1, maps[map1, map2])]
return seeds
# part 1 - use find_range() with range of length 1
seeds_p1 = [(int(s), 1) for s in lines[0].split(":")[1].strip().split()]
answer_1 = min(start for start, _ in find_location_ranges(seeds_p1))
print(f"answer 1 is {answer_1}")
# # part 2
parts = lines[0].split(":")[1].strip().split()
seeds_p2 = [(int(s), int(e)) for s, e in zip(parts[::2], parts[1::2])]
answer_2 = min(start for start, _ in find_location_ranges(seeds_p2))
print(f"answer 2 is {answer_2}")
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import math
import sys
def extreme_times_to_beat(time: int, distance: int) -> tuple[int, int]:
# formula (T = total time, D = target distance)
# - speed(t) = t,
# - distance(t) = (T - t) * speed(t)
# - distance(t) > D
# <=> (T - t) * t > D
# <=> -t^2 + T * t - D >= 0
a, b, c = -1, time, -distance
d = b * b - 4 * a * c
t1 = math.ceil(-(b - math.sqrt(d)) / (2 * a))
t2 = math.floor(-(b + math.sqrt(d)) / (2 * a))
if (time - t1) * t1 == distance:
t1 += 1
if (time - t2) * t2 == distance:
t2 -= 1
return t1, t2
lines = sys.stdin.read().splitlines()
# part 1
times = list(map(int, lines[0].split()[1:]))
distances = list(map(int, lines[1].split()[1:]))
answer_1 = math.prod(
t2 - t1 + 1
for t1, t2 in (
extreme_times_to_beat(time, distance)
for time, distance in zip(times, distances)
)
)
print(f"answer 1 is {answer_1}")
# part 2
time = int(lines[0].split(":")[1].strip().replace(" ", ""))
distance = int(lines[1].split(":")[1].strip().replace(" ", ""))
t1, t2 = extreme_times_to_beat(time, distance)
answer_2 = t2 - t1 + 1
print(f"answer 2 is {answer_2}")
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import itertools
import math
import sys
lines = sys.stdin.read().splitlines()
sequence = lines[0]
nodes = {
p[0]: {d: n for d, n in zip("LR", p[1].strip("()").split(", "))}
for line in lines[2:]
if (p := line.split(" = "))
}
def path(start: str):
path = [start]
it_seq = iter(itertools.cycle(sequence))
while not path[-1].endswith("Z"):
path.append(nodes[path[-1]][next(it_seq)])
return path
# part 1
answer_1 = len(path(next(node for node in nodes if node.endswith("A")))) - 1
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = math.lcm(*(len(path(node)) - 1 for node in nodes if node.endswith("A")))
print(f"answer 2 is {answer_2}")
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import sys
lines = sys.stdin.read().splitlines()
data = [[int(c) for c in line.split()] for line in lines]
right_values: list[int] = []
left_values: list[int] = []
for values in data:
diffs = [values]
while any(d != 0 for d in diffs[-1]):
diffs.append([rhs - lhs for lhs, rhs in zip(diffs[-1][:-1], diffs[-1][1:])])
rhs: list[int] = [0]
lhs: list[int] = [0]
for cx in range(len(diffs) - 1):
rhs.append(diffs[-cx - 2][-1] + rhs[cx])
lhs.append(diffs[-cx - 2][0] - lhs[cx])
right_values.append(rhs[-1])
left_values.append(lhs[-1])
# part 1
answer_1 = sum(right_values)
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = sum(left_values)
print(f"answer 2 is {answer_2}")
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# Advent Of Code
# Holt59 - Advent Of Code
To run any script, you need to pipe the input:
Installation (with [`poetry`](https://python-poetry.org/)):
```bash
cat 2022/inputs/day2.txt | python 2022/day2.py
poetry install
```
To run any day:
```bash
holt59-aoc $day
```
You can use `-v` / `--verbose` for extra outputs in some case, `-t` / `--test` to run
the code on the test data (one of the test data if multiple are present) or even
`-u XXX` / `--user XXX` to run the code on a specific input after putting the input
file under `src/holt59/aoc/inputs/XXX/$year/$day`.
Full usage:
```bash
usage: Holt59 Advent-Of-Code Runner [-h] [-v] [-t] [-u USER] [-i INPUT] [-y YEAR] day
positional arguments:
day day to run
options:
-h, --help show this help message and exit
-v, --verbose verbose mode
-t, --test test mode
-u USER, --user USER user input to use
-i INPUT, --input INPUT
input to use (override user and test)
-y YEAR, --year YEAR year to run
```
Generated
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[tool.poetry]
name = "holt59-advent-of-code"
version = "0.1.0"
description = ""
authors = ["Mikael CAPELLE <capelle.mikael@gmail.com>"]
license = "MIT"
readme = "README.md"
packages = [{ include = "holt59", from = "src" }]
[tool.poetry.dependencies]
python = "^3.12"
numpy = "^2.1.3"
tqdm = "^4.67.1"
parse = "^1.20.2"
sympy = "^1.13.3"
networkx = "^3.4.2"
pillow = "^11.0.0"
imageio = "^2.36.1"
pygifsicle = "^1.1.0"
opencv-python = "^4.10.0.84"
[tool.poetry.group.dev.dependencies]
pyright = "^1.1.389"
ruff = "^0.8.1"
poethepoet = "^0.31.1"
ipykernel = "^6.29.5"
networkx-stubs = "^0.0.1"
types-networkx = "^3.4.2.20241115"
[tool.poetry.group.cplex.dependencies]
docplex = "^2.30.251"
cplex = "^22.1.2.0"
[tool.poetry.group.ortools.dependencies]
ortools = "^9.11.4210"
[tool.poetry.scripts]
holt59-aoc = "holt59.aoc.__main__:main"
[tool.poe.tasks]
format-imports = "ruff check --select I src --fix"
format-ruff = "ruff format src"
format.sequence = ["format-imports", "format-ruff"]
lint-ruff = "ruff check src"
lint-ruff-format = "ruff format --check src"
lint-pyright = "pyright src"
lint.sequence = ["lint-ruff", "lint-ruff-format", "lint-pyright"]
lint.ignore_fail = "return_non_zero"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
-12
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@@ -1,12 +0,0 @@
param(
[switch]$Test,
[PSDefaultValue()]
[Parameter(Mandatory = $false)]
$Year = 2023,
[Parameter(Mandatory = $true, Position = 0)]
$Day)
$folder = $Test ? "tests" : "inputs"
$env:AOC_VERBOSE = $VerbosePreference -eq "Continue"
Get-Content ".\$Year\$folder\day$Day.txt" | python ".\$Year\day$Day.py"
+12
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@@ -0,0 +1,12 @@
from typing import Any, Iterator
from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
floor = 0
floors = [(floor := floor + (1 if c == "(" else -1)) for c in input]
yield floors[-1]
yield floors.index(-1)
+147
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@@ -0,0 +1,147 @@
import itertools
from typing import Any, Iterator
from ..base import BaseSolver
# see http://www.se16.info/js/lands2.htm for the explanation of 'atoms' (or elements)
#
# see also https://www.youtube.com/watch?v=ea7lJkEhytA (video link from AOC) and this
# CodeGolf answer https://codegolf.stackexchange.com/a/8479/42148
# fmt: off
ATOMS: list[tuple[str, tuple[int, ...]]] = [
("22", (0, )), # 0
("13112221133211322112211213322112", (71, 90, 0, 19, 2, )), # 1
("312211322212221121123222112", (1, )), # 2
("111312211312113221133211322112211213322112", (31, 19, 2, )), # 3
("1321132122211322212221121123222112", (3, )), # 4
("3113112211322112211213322112", (4, )), # 5
("111312212221121123222112", (5, )), # 6
("132112211213322112", (6, )), # 7
("31121123222112", (7, )), # 8
("111213322112", (8, )), # 9
("123222112", (9, )), # 10
("3113322112", (60, 10, )), # 11
("1113222112", (11, )), # 12
("1322112", (12, )), # 13
("311311222112", (66, 13, )), # 14
("1113122112", (14, )), # 15
("132112", (15, )), # 16
("3112", (16, )), # 17
("1112", (17, )), # 18
("12", (18, )), # 19
("3113112221133112", (66, 90, 0, 19, 26, )), # 20
("11131221131112", (20, )), # 21
("13211312", (21, )), # 22
("31132", (22, )), # 23
("111311222112", (23, 13, )), # 24
("13122112", (24, )), # 25
("32112", (25, )), # 26
("11133112", (29, 26, )), # 27
("131112", (27, )), # 28
("312", (28, )), # 29
("13221133122211332", (62, 19, 88, 0, 19, 29, )), # 30
("31131122211311122113222", (66, 30, )), # 31
("11131221131211322113322112", (31, 10, )), # 32
("13211321222113222112", (32, )), # 33
("3113112211322112", (33, )), # 34
("11131221222112", (34, )), # 35
("1321122112", (35, )), # 36
("3112112", (36, )), # 37
("1112133", (37, 91, )), # 38
("12322211331222113112211", (38, 0, 19, 42, )), # 39
("1113122113322113111221131221", (67, 39, )), # 40
("13211322211312113211", (40, )), # 41
("311322113212221", (41, )), # 42
("132211331222113112211", (62, 19, 42, )), # 43
("311311222113111221131221", (66, 43, )), # 44
("111312211312113211", (44, )), # 45
("132113212221", (45, )), # 46
("3113112211", (46, )), # 47
("11131221", (47, )), # 48
("13211", (48, )), # 49
("3112221", (60, 49, )), # 50
("1322113312211", (62, 19, 50, )), # 51
("311311222113111221", (66, 51, )), # 52
("11131221131211", (52, )), # 53
("13211321", (53, )), # 54
("311311", (54, )), # 55
("11131", (55, )), # 56
("1321133112", (56, 0, 19, 26, )), # 57
("31131112", (57, )), # 58
("111312", (58, )), # 59
("132", (59, )), # 60
("311332", (60, 19, 29, )), # 61
("1113222", (61, )), # 62
("13221133112", (62, 19, 26, )), # 63
("3113112221131112", (66, 63, )), # 64
("111312211312", (64, )), # 65
("1321132", (65, )), # 66
("311311222", (66, 60, )), # 67
("11131221133112", (67, 19, 26, )), # 68
("1321131112", (68, )), # 69
("311312", (69, )), # 70
("11132", (70, )), # 71
("13112221133211322112211213322113", (71, 90, 0, 19, 73, )), # 72
("312211322212221121123222113", (72, )), # 73
("111312211312113221133211322112211213322113", (31, 19, 73, )), # 74
("1321132122211322212221121123222113", (74, )), # 75
("3113112211322112211213322113", (75, )), # 76
("111312212221121123222113", (76, )), # 77
("132112211213322113", (77, )), # 78
("31121123222113", (78, )), # 79
("111213322113", (79, )), # 80
("123222113", (80, )), # 81
("3113322113", (60, 81, )), # 82
("1113222113", (82, )), # 83
("1322113", (83, )), # 84
("311311222113", (66, 84, )), # 85
("1113122113", (85, )), # 86
("132113", (86, )), # 87
("3113", (87, )), # 88
("1113", (88, )), # 89
("13", (89, )), # 90
("3", (90, )), # 91
]
# fmt: on
STARTERS = [
"1",
"11",
"21",
"1211",
"111221",
"312211",
"13112221",
"1113213211",
"31131211131221",
]
def look_and_say_length(s: str, n: int) -> int:
if n == 0:
return len(s)
if s in STARTERS:
return look_and_say_length(
"".join(f"{len(list(g))}{k}" for k, g in itertools.groupby(s)), n - 1
)
counts = {i: 0 for i in range(len(ATOMS))}
idx = next(i for i, (a, _) in enumerate(ATOMS) if s == a)
counts[idx] = 1
for _ in range(n):
c2 = {i: 0 for i in range(len(ATOMS))}
for i in counts:
for j in ATOMS[i][1]:
c2[j] += counts[i]
counts = c2
return sum(counts[i] * len(a[0]) for i, a in enumerate(ATOMS))
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any] | None:
yield look_and_say_length(input, 40)
yield look_and_say_length(input, 50)
+49
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@@ -0,0 +1,49 @@
import itertools
from typing import Any, Iterator
from ..base import BaseSolver
def is_valid(p: str) -> bool:
if any(c in "iol" for c in p):
return False
if not any(
ord(a) + 1 == ord(b) and ord(b) + 1 == ord(c)
for a, b, c in zip(p, p[1:], p[2:])
):
return False
if sum(len(list(g)) >= 2 for _, g in itertools.groupby(p)) < 2:
return False
return True
assert not is_valid("hijklmmn")
assert not is_valid("abbceffg")
assert not is_valid("abbcegjk")
assert is_valid("abcdffaa")
assert is_valid("ghjaabcc")
def increment(p: str) -> str:
if p[-1] == "z":
return increment(p[:-1]) + "a"
elif p[-1] in "iol":
return p[:-1] + chr(ord(p[-1]) + 2)
else:
return p[:-1] + chr(ord(p[-1]) + 1)
def find_next_password(p: str) -> str:
while not is_valid(p):
p = increment(p)
return p
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
answer_1 = find_next_password(input)
yield answer_1
yield find_next_password(increment(answer_1))
+27
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@@ -0,0 +1,27 @@
import json
from typing import Any, Iterator, TypeAlias
from ..base import BaseSolver
JsonObject: TypeAlias = dict[str, "JsonObject"] | list["JsonObject"] | int | str
def json_sum(value: JsonObject, ignore: str | None = None) -> int:
if isinstance(value, str):
return 0
elif isinstance(value, int):
return value
elif isinstance(value, list):
return sum(json_sum(v, ignore=ignore) for v in value)
elif ignore not in value.values():
return sum(json_sum(v, ignore=ignore) for v in value.values())
else:
return 0
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
data: JsonObject = json.loads(input)
yield json_sum(data)
yield json_sum(data, "red")
+40
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@@ -0,0 +1,40 @@
import itertools
from collections import defaultdict
from typing import Any, Iterator, Literal, cast
import parse # type: ignore
from ..base import BaseSolver
def max_change_in_happiness(happiness: dict[str, dict[str, int]]) -> int:
guests = list(happiness)
return max(
sum(
happiness[o][d] + happiness[d][o]
for o, d in zip((guests[0],) + order, order + (guests[0],))
)
for order in map(tuple, itertools.permutations(guests[1:]))
)
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
happiness: dict[str, dict[str, int]] = defaultdict(dict)
for line in lines:
u1, gain_or_loose, hap, u2 = cast(
tuple[str, Literal["gain", "lose"], int, str],
parse.parse( # type: ignore
"{} would {} {:d} happiness units by sitting next to {}.", line
),
)
happiness[u1][u2] = hap if gain_or_loose == "gain" else -hap
yield max_change_in_happiness(happiness)
for guest in list(happiness):
happiness["me"][guest] = 0
happiness[guest]["me"] = 0
yield max_change_in_happiness(happiness)
+63
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@@ -0,0 +1,63 @@
from dataclasses import dataclass
from typing import Any, Iterator, Literal, cast
import parse # type: ignore
from ..base import BaseSolver
@dataclass(frozen=True)
class Reindeer:
name: str
speed: int
fly_time: int
rest_time: int
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
reindeers: list[Reindeer] = []
for line in lines:
reindeer, speed, speed_time, rest_time = cast(
tuple[str, int, int, int],
parse.parse( # type: ignore
"{} can fly {:d} km/s for {:d} seconds, "
"but then must rest for {:d} seconds.",
line,
),
)
reindeers.append(
Reindeer(
name=reindeer, speed=speed, fly_time=speed_time, rest_time=rest_time
)
)
target = 1000 if len(reindeers) <= 2 else 2503
states: dict[Reindeer, tuple[Literal["resting", "flying"], int]] = {
reindeer: ("resting", 0) for reindeer in reindeers
}
distances: dict[Reindeer, int] = {reindeer: 0 for reindeer in reindeers}
points: dict[Reindeer, int] = {reindeer: 0 for reindeer in reindeers}
for time in self.progress.wrap(range(target)):
for reindeer in reindeers:
if states[reindeer][0] == "flying":
distances[reindeer] += reindeer.speed
top_distance = max(distances.values())
for reindeer in reindeers:
if distances[reindeer] == top_distance:
points[reindeer] += 1
for reindeer in reindeers:
if states[reindeer][1] == time:
if states[reindeer][0] == "resting":
states[reindeer] = ("flying", time + reindeer.fly_time)
else:
states[reindeer] = ("resting", time + reindeer.rest_time)
yield max(distances.values())
yield max(points.values()) - 1

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