Compare commits

..

171 Commits

Author SHA1 Message Date
Mikaël Capelle
77b24dd148 2024 day 23.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-23 11:35:42 +01:00
Mikaël Capelle
b9341bdecc 2024 day 22.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-22 14:07:40 +01:00
Mikaël Capelle
ae5527b72d 2024 day 21 part 1.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-21 13:13:31 +01:00
Mikaël Capelle
96f139fe10 2024 day 20.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-20 09:19:12 +01:00
Mikael CAPELLE
683cac334c 2024 day 19.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-19 12:13:00 +01:00
Mikael CAPELLE
146d025d41 Add generic simple dijkstra method.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-18 10:41:01 +01:00
Mikael CAPELLE
954ef1e6ce 2024 day 18.
Some checks failed
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.
Some checks failed
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.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-17 14:28:37 +01:00
Mikael CAPELLE
4dcdab9931 2024 day 17 WIP.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-17 09:45:27 +01:00
Mikael CAPELLE
f965eea33a 2024 day 16 no networkx.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-16 16:48:45 +01:00
Mikael CAPELLE
c3c73ee517 2024 day 16, networkx version.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-16 08:19:42 +01:00
Mikaël Capelle
8308940674 Allow creation of avi video.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-15 14:07:32 +01:00
Mikaël Capelle
bc06f86fdc 2024 day 15 colored gif output.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-15 11:46:07 +01:00
Mikaël Capelle
2c25b33bcc Optimize generated gifs.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-15 11:30:23 +01:00
Mikaël Capelle
8651884ca6 2024 day 15 gif output.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-15 11:21:01 +01:00
Mikaël Capelle
7447c7b536 2024 day 15.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-15 10:56:28 +01:00
Mikaël Capelle
3e8d796b2e 2024 day 15.
Some checks failed
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.
Some checks failed
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.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-14 22:35:18 +01:00
Mikaël Capelle
2c5c51e05f 2021 day 12.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-14 22:29:20 +01:00
Mikaël Capelle
51275dd539 2021 day 11.
Some checks failed
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.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-14 21:02:23 +01:00
Mikaël Capelle
323f810fcd 2015 day 24.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-14 15:21:19 +01:00
Mikaël Capelle
8969ea895f Handle PNG file generation.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-14 11:52:32 +01:00
Mikaël Capelle
67f7eef636 Update poetry dependencies.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-14 11:10:46 +01:00
Mikaël Capelle
4f8b50577a 2024 day 14.
Some checks failed
continuous-integration/drone/push Build is failing
2024-12-14 10:23:00 +01:00
Mikaël Capelle
67e41503c9 2024 day 13.
All checks were successful
continuous-integration/drone/push Build is passing
2024-12-13 09:15:23 +01:00
Mikael CAPELLE
30e0bb3665 2015 day 23.
All checks were successful
continuous-integration/drone/push Build is passing
2024-12-12 17:19:25 +01:00
Mikael CAPELLE
291c627c79 2024 day 12.
All checks were successful
continuous-integration/drone/push Build is passing
2024-12-12 17:19:00 +01:00
Mikaël Capelle
89306f4a04 UGLY, 2024 day 12.
All checks were successful
continuous-integration/drone/push Build is passing
2024-12-12 07:21:12 +01:00
Mikael CAPELLE
721d69e766 Remove unused functions from previous years.
All checks were successful
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
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
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
195 changed files with 20984 additions and 3506 deletions

518
poetry.lock generated
View File

@ -1,4 +1,15 @@
# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
[[package]]
name = "absl-py"
version = "2.1.0"
description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
optional = false
python-versions = ">=3.7"
files = [
{file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"},
{file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
]
[[package]] [[package]]
name = "appnope" name = "appnope"
@ -133,6 +144,30 @@ traitlets = ">=4"
[package.extras] [package.extras]
test = ["pytest"] test = ["pytest"]
[[package]]
name = "cplex"
version = "22.1.1.2"
description = "A Python interface to the CPLEX Callable Library, Community Edition."
optional = false
python-versions = "*"
files = [
{file = "cplex-22.1.1.2-cp310-cp310-macosx_10_6_x86_64.whl", hash = "sha256:d74a91f6e9c6f4ad4c7c69f7ab937ea9e91178a556f6f105c87eef9e434ea42e"},
{file = "cplex-22.1.1.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b066b5aa01fcf7cb471ad41920b3fecdd87dc95686e9a7031ff470873f0db10f"},
{file = "cplex-22.1.1.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:a7230032928b1a657c384d3f49c04d8b80d0ab8134a2f4c0b26ff50e71ec767a"},
{file = "cplex-22.1.1.2-cp310-cp310-manylinux2014_ppc64le.whl", hash = "sha256:dd81e8ee7a7f1fb5769bcbb1349b084b37c495cbd0db1a095d774f97d790ee3c"},
{file = "cplex-22.1.1.2-cp310-cp310-win_amd64.whl", hash = "sha256:68b33bb9ff84be3442a6f71000e7214781c6aa8674143a9aa79cb9a84e697dfd"},
{file = "cplex-22.1.1.2-cp311-cp311-macosx_10_6_x86_64.whl", hash = "sha256:cda2f59af50d6c3d6476b2e38aba1e947f9bd72591d71961a9d53b5582062ba9"},
{file = "cplex-22.1.1.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0f69a539ed50994e26e32c3d2b203eb5f112d1ba64400241614e1a91c0933974"},
{file = "cplex-22.1.1.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:2a0f6984980779e6878a6cded52ee08806bae49af6bd209c7740549417e69e96"},
{file = "cplex-22.1.1.2-cp311-cp311-manylinux2014_ppc64le.whl", hash = "sha256:0ac0005414a09facbeaa976a89b3153d4ed15f23a89bf5d283f65d4e951f63be"},
{file = "cplex-22.1.1.2-cp311-cp311-win_amd64.whl", hash = "sha256:46550cac476d74cc95dc3abf6f9bfe08c9fd61d889e20f2028f754b9fe503b88"},
{file = "cplex-22.1.1.2-cp39-cp39-macosx_10_6_x86_64.whl", hash = "sha256:21f6fd1ad4876a7775e64fe8a1fb43f6bb7a010c5e099abdb8c01887a8cc1d84"},
{file = "cplex-22.1.1.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d6acbf74c3fe32f2138a98730d1ebe3fa275c8c3fdcd8b1f68d312bfe9ef6899"},
{file = "cplex-22.1.1.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:3211f9c84f44c6317ea1e83a6c2ff1cfdc08532f421987b7faa8c07a018dfae5"},
{file = "cplex-22.1.1.2-cp39-cp39-manylinux2014_ppc64le.whl", hash = "sha256:648ad8c1c83ea30b0802c571a0dbf7fac23dcb9dc121ea0768c1794313aec2a7"},
{file = "cplex-22.1.1.2-cp39-cp39-win_amd64.whl", hash = "sha256:285b26008a77942c6c9c29bff91e1658c1beed2aa520e1a8b26137d81abf81dc"},
]
[[package]] [[package]]
name = "debugpy" name = "debugpy"
version = "1.8.9" version = "1.8.9"
@ -179,6 +214,19 @@ files = [
{file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"}, {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
] ]
[[package]]
name = "docplex"
version = "2.28.240"
description = "The IBM Decision Optimization CPLEX Modeling for Python"
optional = false
python-versions = "*"
files = [
{file = "docplex-2.28.240.tar.gz", hash = "sha256:c0de407e33f8709bb4cd91b6efeb96fd88bfecbdce2caec51afb79253bde6ff5"},
]
[package.dependencies]
six = "*"
[[package]] [[package]]
name = "exceptiongroup" name = "exceptiongroup"
version = "1.2.2" version = "1.2.2"
@ -207,6 +255,50 @@ files = [
[package.extras] [package.extras]
tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"] tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
[[package]]
name = "imageio"
version = "2.36.1"
description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
optional = false
python-versions = ">=3.9"
files = [
{file = "imageio-2.36.1-py3-none-any.whl", hash = "sha256:20abd2cae58e55ca1af8a8dcf43293336a59adf0391f1917bf8518633cfc2cdf"},
{file = "imageio-2.36.1.tar.gz", hash = "sha256:e4e1d231f47f9a9e16100b0f7ce1a86e8856fb4d1c0fa2c4365a316f1746be62"},
]
[package.dependencies]
numpy = "*"
pillow = ">=8.3.2"
[package.extras]
all-plugins = ["astropy", "av", "imageio-ffmpeg", "numpy (>2)", "pillow-heif", "psutil", "rawpy", "tifffile"]
all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
build = ["wheel"]
dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
ffmpeg = ["imageio-ffmpeg", "psutil"]
fits = ["astropy"]
full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpy (>2)", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "rawpy", "sphinx (<6)", "tifffile", "wheel"]
gdal = ["gdal"]
itk = ["itk"]
linting = ["black", "flake8"]
pillow-heif = ["pillow-heif"]
pyav = ["av"]
rawpy = ["numpy (>2)", "rawpy"]
test = ["fsspec[github]", "pytest", "pytest-cov"]
tifffile = ["tifffile"]
[[package]]
name = "immutabledict"
version = "4.2.1"
description = "Immutable wrapper around dictionaries (a fork of frozendict)"
optional = false
python-versions = ">=3.8"
files = [
{file = "immutabledict-4.2.1-py3-none-any.whl", hash = "sha256:c56a26ced38c236f79e74af3ccce53772827cef5c3bce7cab33ff2060f756373"},
{file = "immutabledict-4.2.1.tar.gz", hash = "sha256:d91017248981c72eb66c8ff9834e99c2f53562346f23e7f51e7a5ebcf66a3bcc"},
]
[[package]] [[package]]
name = "ipykernel" name = "ipykernel"
version = "6.29.5" version = "6.29.5"
@ -430,68 +522,133 @@ files = [
[[package]] [[package]]
name = "numpy" name = "numpy"
version = "2.1.3" version = "2.2.0"
description = "Fundamental package for array computing in Python" description = "Fundamental package for array computing in Python"
optional = false optional = false
python-versions = ">=3.10" python-versions = ">=3.10"
files = [ files = [
{file = "numpy-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c894b4305373b9c5576d7a12b473702afdf48ce5369c074ba304cc5ad8730dff"}, {file = "numpy-2.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1e25507d85da11ff5066269d0bd25d06e0a0f2e908415534f3e603d2a78e4ffa"},
{file = "numpy-2.1.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b47fbb433d3260adcd51eb54f92a2ffbc90a4595f8970ee00e064c644ac788f5"}, {file = "numpy-2.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a62eb442011776e4036af5c8b1a00b706c5bc02dc15eb5344b0c750428c94219"},
{file = "numpy-2.1.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:825656d0743699c529c5943554d223c021ff0494ff1442152ce887ef4f7561a1"}, {file = "numpy-2.2.0-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:b606b1aaf802e6468c2608c65ff7ece53eae1a6874b3765f69b8ceb20c5fa78e"},
{file = "numpy-2.1.3-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:6a4825252fcc430a182ac4dee5a505053d262c807f8a924603d411f6718b88fd"}, {file = "numpy-2.2.0-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:36b2b43146f646642b425dd2027730f99bac962618ec2052932157e213a040e9"},
{file = "numpy-2.1.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e711e02f49e176a01d0349d82cb5f05ba4db7d5e7e0defd026328e5cfb3226d3"}, {file = "numpy-2.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7fe8f3583e0607ad4e43a954e35c1748b553bfe9fdac8635c02058023277d1b3"},
{file = "numpy-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78574ac2d1a4a02421f25da9559850d59457bac82f2b8d7a44fe83a64f770098"}, {file = "numpy-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:122fd2fcfafdefc889c64ad99c228d5a1f9692c3a83f56c292618a59aa60ae83"},
{file = "numpy-2.1.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c7662f0e3673fe4e832fe07b65c50342ea27d989f92c80355658c7f888fcc83c"}, {file = "numpy-2.2.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:3f2f5cddeaa4424a0a118924b988746db6ffa8565e5829b1841a8a3bd73eb59a"},
{file = "numpy-2.1.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:fa2d1337dc61c8dc417fbccf20f6d1e139896a30721b7f1e832b2bb6ef4eb6c4"}, {file = "numpy-2.2.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7fe4bb0695fe986a9e4deec3b6857003b4cfe5c5e4aac0b95f6a658c14635e31"},
{file = "numpy-2.1.3-cp310-cp310-win32.whl", hash = "sha256:72dcc4a35a8515d83e76b58fdf8113a5c969ccd505c8a946759b24e3182d1f23"}, {file = "numpy-2.2.0-cp310-cp310-win32.whl", hash = "sha256:b30042fe92dbd79f1ba7f6898fada10bdaad1847c44f2dff9a16147e00a93661"},
{file = "numpy-2.1.3-cp310-cp310-win_amd64.whl", hash = "sha256:ecc76a9ba2911d8d37ac01de72834d8849e55473457558e12995f4cd53e778e0"}, {file = "numpy-2.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:54dc1d6d66f8d37843ed281773c7174f03bf7ad826523f73435deb88ba60d2d4"},
{file = "numpy-2.1.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4d1167c53b93f1f5d8a139a742b3c6f4d429b54e74e6b57d0eff40045187b15d"}, {file = "numpy-2.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9874bc2ff574c40ab7a5cbb7464bf9b045d617e36754a7bc93f933d52bd9ffc6"},
{file = "numpy-2.1.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c80e4a09b3d95b4e1cac08643f1152fa71a0a821a2d4277334c88d54b2219a41"}, {file = "numpy-2.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0da8495970f6b101ddd0c38ace92edea30e7e12b9a926b57f5fabb1ecc25bb90"},
{file = "numpy-2.1.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:576a1c1d25e9e02ed7fa5477f30a127fe56debd53b8d2c89d5578f9857d03ca9"}, {file = "numpy-2.2.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:0557eebc699c1c34cccdd8c3778c9294e8196df27d713706895edc6f57d29608"},
{file = "numpy-2.1.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:973faafebaae4c0aaa1a1ca1ce02434554d67e628b8d805e61f874b84e136b09"}, {file = "numpy-2.2.0-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:3579eaeb5e07f3ded59298ce22b65f877a86ba8e9fe701f5576c99bb17c283da"},
{file = "numpy-2.1.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:762479be47a4863e261a840e8e01608d124ee1361e48b96916f38b119cfda04a"}, {file = "numpy-2.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40deb10198bbaa531509aad0cd2f9fadb26c8b94070831e2208e7df543562b74"},
{file = "numpy-2.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc6f24b3d1ecc1eebfbf5d6051faa49af40b03be1aaa781ebdadcbc090b4539b"}, {file = "numpy-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c2aed8fcf8abc3020d6a9ccb31dbc9e7d7819c56a348cc88fd44be269b37427e"},
{file = "numpy-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:17ee83a1f4fef3c94d16dc1802b998668b5419362c8a4f4e8a491de1b41cc3ee"}, {file = "numpy-2.2.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a222d764352c773aa5ebde02dd84dba3279c81c6db2e482d62a3fa54e5ece69b"},
{file = "numpy-2.1.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:15cb89f39fa6d0bdfb600ea24b250e5f1a3df23f901f51c8debaa6a5d122b2f0"}, {file = "numpy-2.2.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4e58666988605e251d42c2818c7d3d8991555381be26399303053b58a5bbf30d"},
{file = "numpy-2.1.3-cp311-cp311-win32.whl", hash = "sha256:d9beb777a78c331580705326d2367488d5bc473b49a9bc3036c154832520aca9"}, {file = "numpy-2.2.0-cp311-cp311-win32.whl", hash = "sha256:4723a50e1523e1de4fccd1b9a6dcea750c2102461e9a02b2ac55ffeae09a4410"},
{file = "numpy-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:d89dd2b6da69c4fff5e39c28a382199ddedc3a5be5390115608345dec660b9e2"}, {file = "numpy-2.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:16757cf28621e43e252c560d25b15f18a2f11da94fea344bf26c599b9cf54b73"},
{file = "numpy-2.1.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f55ba01150f52b1027829b50d70ef1dafd9821ea82905b63936668403c3b471e"}, {file = "numpy-2.2.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:cff210198bb4cae3f3c100444c5eaa573a823f05c253e7188e1362a5555235b3"},
{file = "numpy-2.1.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:13138eadd4f4da03074851a698ffa7e405f41a0845a6b1ad135b81596e4e9958"}, {file = "numpy-2.2.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:58b92a5828bd4d9aa0952492b7de803135038de47343b2aa3cc23f3b71a3dc4e"},
{file = "numpy-2.1.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:a6b46587b14b888e95e4a24d7b13ae91fa22386c199ee7b418f449032b2fa3b8"}, {file = "numpy-2.2.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:ebe5e59545401fbb1b24da76f006ab19734ae71e703cdb4a8b347e84a0cece67"},
{file = "numpy-2.1.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:0fa14563cc46422e99daef53d725d0c326e99e468a9320a240affffe87852564"}, {file = "numpy-2.2.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:e2b8cd48a9942ed3f85b95ca4105c45758438c7ed28fff1e4ce3e57c3b589d8e"},
{file = "numpy-2.1.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8637dcd2caa676e475503d1f8fdb327bc495554e10838019651b76d17b98e512"}, {file = "numpy-2.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:57fcc997ffc0bef234b8875a54d4058afa92b0b0c4223fc1f62f24b3b5e86038"},
{file = "numpy-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2312b2aa89e1f43ecea6da6ea9a810d06aae08321609d8dc0d0eda6d946a541b"}, {file = "numpy-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85ad7d11b309bd132d74397fcf2920933c9d1dc865487128f5c03d580f2c3d03"},
{file = "numpy-2.1.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a38c19106902bb19351b83802531fea19dee18e5b37b36454f27f11ff956f7fc"}, {file = "numpy-2.2.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:cb24cca1968b21355cc6f3da1a20cd1cebd8a023e3c5b09b432444617949085a"},
{file = "numpy-2.1.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:02135ade8b8a84011cbb67dc44e07c58f28575cf9ecf8ab304e51c05528c19f0"}, {file = "numpy-2.2.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0798b138c291d792f8ea40fe3768610f3c7dd2574389e37c3f26573757c8f7ef"},
{file = "numpy-2.1.3-cp312-cp312-win32.whl", hash = "sha256:e6988e90fcf617da2b5c78902fe8e668361b43b4fe26dbf2d7b0f8034d4cafb9"}, {file = "numpy-2.2.0-cp312-cp312-win32.whl", hash = "sha256:afe8fb968743d40435c3827632fd36c5fbde633b0423da7692e426529b1759b1"},
{file = "numpy-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:0d30c543f02e84e92c4b1f415b7c6b5326cbe45ee7882b6b77db7195fb971e3a"}, {file = "numpy-2.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:3a4199f519e57d517ebd48cb76b36c82da0360781c6a0353e64c0cac30ecaad3"},
{file = "numpy-2.1.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:96fe52fcdb9345b7cd82ecd34547fca4321f7656d500eca497eb7ea5a926692f"}, {file = "numpy-2.2.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f8c8b141ef9699ae777c6278b52c706b653bf15d135d302754f6b2e90eb30367"},
{file = "numpy-2.1.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f653490b33e9c3a4c1c01d41bc2aef08f9475af51146e4a7710c450cf9761598"}, {file = "numpy-2.2.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:0f0986e917aca18f7a567b812ef7ca9391288e2acb7a4308aa9d265bd724bdae"},
{file = "numpy-2.1.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:dc258a761a16daa791081d026f0ed4399b582712e6fc887a95af09df10c5ca57"}, {file = "numpy-2.2.0-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:1c92113619f7b272838b8d6702a7f8ebe5edea0df48166c47929611d0b4dea69"},
{file = "numpy-2.1.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:016d0f6f5e77b0f0d45d77387ffa4bb89816b57c835580c3ce8e099ef830befe"}, {file = "numpy-2.2.0-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:5a145e956b374e72ad1dff82779177d4a3c62bc8248f41b80cb5122e68f22d13"},
{file = "numpy-2.1.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c181ba05ce8299c7aa3125c27b9c2167bca4a4445b7ce73d5febc411ca692e43"}, {file = "numpy-2.2.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:18142b497d70a34b01642b9feabb70156311b326fdddd875a9981f34a369b671"},
{file = "numpy-2.1.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5641516794ca9e5f8a4d17bb45446998c6554704d888f86df9b200e66bdcce56"}, {file = "numpy-2.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a7d41d1612c1a82b64697e894b75db6758d4f21c3ec069d841e60ebe54b5b571"},
{file = "numpy-2.1.3-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ea4dedd6e394a9c180b33c2c872b92f7ce0f8e7ad93e9585312b0c5a04777a4a"}, {file = "numpy-2.2.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a98f6f20465e7618c83252c02041517bd2f7ea29be5378f09667a8f654a5918d"},
{file = "numpy-2.1.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:b0df3635b9c8ef48bd3be5f862cf71b0a4716fa0e702155c45067c6b711ddcef"}, {file = "numpy-2.2.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e09d40edfdb4e260cb1567d8ae770ccf3b8b7e9f0d9b5c2a9992696b30ce2742"},
{file = "numpy-2.1.3-cp313-cp313-win32.whl", hash = "sha256:50ca6aba6e163363f132b5c101ba078b8cbd3fa92c7865fd7d4d62d9779ac29f"}, {file = "numpy-2.2.0-cp313-cp313-win32.whl", hash = "sha256:3905a5fffcc23e597ee4d9fb3fcd209bd658c352657548db7316e810ca80458e"},
{file = "numpy-2.1.3-cp313-cp313-win_amd64.whl", hash = "sha256:747641635d3d44bcb380d950679462fae44f54b131be347d5ec2bce47d3df9ed"}, {file = "numpy-2.2.0-cp313-cp313-win_amd64.whl", hash = "sha256:a184288538e6ad699cbe6b24859206e38ce5fba28f3bcfa51c90d0502c1582b2"},
{file = "numpy-2.1.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:996bb9399059c5b82f76b53ff8bb686069c05acc94656bb259b1d63d04a9506f"}, {file = "numpy-2.2.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:7832f9e8eb00be32f15fdfb9a981d6955ea9adc8574c521d48710171b6c55e95"},
{file = "numpy-2.1.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:45966d859916ad02b779706bb43b954281db43e185015df6eb3323120188f9e4"}, {file = "numpy-2.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:f0dd071b95bbca244f4cb7f70b77d2ff3aaaba7fa16dc41f58d14854a6204e6c"},
{file = "numpy-2.1.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:baed7e8d7481bfe0874b566850cb0b85243e982388b7b23348c6db2ee2b2ae8e"}, {file = "numpy-2.2.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:b0b227dcff8cdc3efbce66d4e50891f04d0a387cce282fe1e66199146a6a8fca"},
{file = "numpy-2.1.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:a9f7f672a3388133335589cfca93ed468509cb7b93ba3105fce780d04a6576a0"}, {file = "numpy-2.2.0-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:6ab153263a7c5ccaf6dfe7e53447b74f77789f28ecb278c3b5d49db7ece10d6d"},
{file = "numpy-2.1.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7aac50327da5d208db2eec22eb11e491e3fe13d22653dce51b0f4109101b408"}, {file = "numpy-2.2.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e500aba968a48e9019e42c0c199b7ec0696a97fa69037bea163b55398e390529"},
{file = "numpy-2.1.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4394bc0dbd074b7f9b52024832d16e019decebf86caf909d94f6b3f77a8ee3b6"}, {file = "numpy-2.2.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:440cfb3db4c5029775803794f8638fbdbf71ec702caf32735f53b008e1eaece3"},
{file = "numpy-2.1.3-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:50d18c4358a0a8a53f12a8ba9d772ab2d460321e6a93d6064fc22443d189853f"}, {file = "numpy-2.2.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a55dc7a7f0b6198b07ec0cd445fbb98b05234e8b00c5ac4874a63372ba98d4ab"},
{file = "numpy-2.1.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:14e253bd43fc6b37af4921b10f6add6925878a42a0c5fe83daee390bca80bc17"}, {file = "numpy-2.2.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4bddbaa30d78c86329b26bd6aaaea06b1e47444da99eddac7bf1e2fab717bd72"},
{file = "numpy-2.1.3-cp313-cp313t-win32.whl", hash = "sha256:08788d27a5fd867a663f6fc753fd7c3ad7e92747efc73c53bca2f19f8bc06f48"}, {file = "numpy-2.2.0-cp313-cp313t-win32.whl", hash = "sha256:30bf971c12e4365153afb31fc73f441d4da157153f3400b82db32d04de1e4066"},
{file = "numpy-2.1.3-cp313-cp313t-win_amd64.whl", hash = "sha256:2564fbdf2b99b3f815f2107c1bbc93e2de8ee655a69c261363a1172a79a257d4"}, {file = "numpy-2.2.0-cp313-cp313t-win_amd64.whl", hash = "sha256:d35717333b39d1b6bb8433fa758a55f1081543de527171543a2b710551d40881"},
{file = "numpy-2.1.3-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:4f2015dfe437dfebbfce7c85c7b53d81ba49e71ba7eadbf1df40c915af75979f"}, {file = "numpy-2.2.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:e12c6c1ce84628c52d6367863773f7c8c8241be554e8b79686e91a43f1733773"},
{file = "numpy-2.1.3-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:3522b0dfe983a575e6a9ab3a4a4dfe156c3e428468ff08ce582b9bb6bd1d71d4"}, {file = "numpy-2.2.0-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:b6207dc8fb3c8cb5668e885cef9ec7f70189bec4e276f0ff70d5aa078d32c88e"},
{file = "numpy-2.1.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c006b607a865b07cd981ccb218a04fc86b600411d83d6fc261357f1c0966755d"}, {file = "numpy-2.2.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a50aeff71d0f97b6450d33940c7181b08be1441c6c193e678211bff11aa725e7"},
{file = "numpy-2.1.3-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:e14e26956e6f1696070788252dcdff11b4aca4c3e8bd166e0df1bb8f315a67cb"}, {file = "numpy-2.2.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:df12a1f99b99f569a7c2ae59aa2d31724e8d835fc7f33e14f4792e3071d11221"},
{file = "numpy-2.1.3.tar.gz", hash = "sha256:aa08e04e08aaf974d4458def539dece0d28146d866a39da5639596f4921fd761"}, {file = "numpy-2.2.0.tar.gz", hash = "sha256:140dd80ff8981a583a60980be1a655068f8adebf7a45a06a6858c873fcdcd4a0"},
] ]
[[package]]
name = "opencv-python"
version = "4.10.0.84"
description = "Wrapper package for OpenCV python bindings."
optional = false
python-versions = ">=3.6"
files = [
{file = "opencv-python-4.10.0.84.tar.gz", hash = "sha256:72d234e4582e9658ffea8e9cae5b63d488ad06994ef12d81dc303b17472f3526"},
{file = "opencv_python-4.10.0.84-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:fc182f8f4cda51b45f01c64e4cbedfc2f00aff799debebc305d8d0210c43f251"},
{file = "opencv_python-4.10.0.84-cp37-abi3-macosx_12_0_x86_64.whl", hash = "sha256:71e575744f1d23f79741450254660442785f45a0797212852ee5199ef12eed98"},
{file = "opencv_python-4.10.0.84-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09a332b50488e2dda866a6c5573ee192fe3583239fb26ff2f7f9ceb0bc119ea6"},
{file = "opencv_python-4.10.0.84-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ace140fc6d647fbe1c692bcb2abce768973491222c067c131d80957c595b71f"},
{file = "opencv_python-4.10.0.84-cp37-abi3-win32.whl", hash = "sha256:2db02bb7e50b703f0a2d50c50ced72e95c574e1e5a0bb35a8a86d0b35c98c236"},
{file = "opencv_python-4.10.0.84-cp37-abi3-win_amd64.whl", hash = "sha256:32dbbd94c26f611dc5cc6979e6b7aa1f55a64d6b463cc1dcd3c95505a63e48fe"},
]
[package.dependencies]
numpy = [
{version = ">=1.26.0", markers = "python_version >= \"3.12\""},
{version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
{version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
{version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
]
[[package]]
name = "ortools"
version = "9.11.4210"
description = "Google OR-Tools python libraries and modules"
optional = false
python-versions = ">=3.8"
files = [
{file = "ortools-9.11.4210-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:127f20f03ce04c28f979eac635d1cacdc01597c9e035a1981070506294d7db9c"},
{file = "ortools-9.11.4210-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:250c62ba9e5fcaf18ada449bc0128c71bb0dbea83ddec5559cc506cff920235c"},
{file = "ortools-9.11.4210-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c7c15cefc7bc71aa2f70bee157aaa7e51ed8cb74c3edd499d15b6f5cd79cdf5b"},
{file = "ortools-9.11.4210-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c3693f0cb07ee0b5d36c4817bcfe05a745e3a613798a2ed62eb998d7fff979c"},
{file = "ortools-9.11.4210-cp310-cp310-win_amd64.whl", hash = "sha256:6b9d4ae6c7e9efac7cbef8a6289e97e238c2f0a8ef587b3e56b71af14c2f04e6"},
{file = "ortools-9.11.4210-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:0f902caa1576d737714f6a4fa165db62469bce82115e250409607197b3b6b434"},
{file = "ortools-9.11.4210-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c6f3e2869396dc6d8ee2d11b65d6f88f6386bb3ad64212c0ad7a6d32ddcb48ca"},
{file = "ortools-9.11.4210-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a56c5844ff927ce3c5428159cdd01b7fdbe243e8062bf1dfdb2e0eb305a55a30"},
{file = "ortools-9.11.4210-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d5a17a37aeaa7d149e2fe8c8dfd5f09630ae28ad734a109ad55536605f8059df"},
{file = "ortools-9.11.4210-cp311-cp311-win_amd64.whl", hash = "sha256:d9b858f0273e19f81555428d54d407428d0a70a8cb5df2c320935bb735f2c6bb"},
{file = "ortools-9.11.4210-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:079bea08c6341dcfe3fb9586eb6edec6ae80f4ed16ed366fd7a46ef4b5709009"},
{file = "ortools-9.11.4210-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7f55124f9d1afa6434d0d6de07c6a4eb836f29b00b3413d27138634d5d79b606"},
{file = "ortools-9.11.4210-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f48e3d4053a169440608d881c1abd2a706db885d9b0af85bf45b444a1fec244"},
{file = "ortools-9.11.4210-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:03ecd32e5d760d48e59832ef6bf724f8cac95e4e40db72a7fb912abf7adcf931"},
{file = "ortools-9.11.4210-cp312-cp312-win_amd64.whl", hash = "sha256:bc1b6e4cc0a121ef888481a99194765e6df72d4d3da81f928543171a2bac8cbb"},
{file = "ortools-9.11.4210-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:a503291dc12dc44da48567c5e1f79c77cd054fb86176f2c99d2860bc5a57e03d"},
{file = "ortools-9.11.4210-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:2fd0aa0b4edfb3088f086bc05d42a381cc3d03da4b8ad18ce18ba213ab2c719f"},
{file = "ortools-9.11.4210-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c242738a49279c3a58b4611a64dd24634f1638f4dbb435163e3f9308e7c84c9"},
{file = "ortools-9.11.4210-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db9186bbc7a30538f277e704e9e77ff52bc75aa2c17095a125b2dc212a75cf8e"},
{file = "ortools-9.11.4210-cp38-cp38-win_amd64.whl", hash = "sha256:afcca4919e1095a79af0375276c5377a2d75794ebd592c4cc841d9979e0526e7"},
{file = "ortools-9.11.4210-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:a2828e91960c4e4fcf27bc6e200e2cd61ce1c42d4a3b95481a842a58c8315345"},
{file = "ortools-9.11.4210-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8d7d1a105f105502cf2f785816b09b796e5845fd47efac0dc0e3c0476b4c961a"},
{file = "ortools-9.11.4210-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f250641d7b822be25237fb78aed0878b07e8afdefddb700bafcc52f32ad520a"},
{file = "ortools-9.11.4210-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bd2c0b319f4c0999360ab45a85d5764838c9dd0fd33437d12e32b2c07cbe04e4"},
{file = "ortools-9.11.4210-cp39-cp39-win_amd64.whl", hash = "sha256:219ffa56e8e4f52561586cea3dd55eb0f5d174a84c83a819d71debad766338e3"},
]
[package.dependencies]
absl-py = ">=2.0.0"
immutabledict = ">=3.0.0"
numpy = ">=1.13.3"
pandas = ">=2.0.0"
protobuf = ">=5.26.1,<5.27"
[[package]] [[package]]
name = "packaging" name = "packaging"
version = "24.2" version = "24.2"
@ -556,9 +713,9 @@ files = [
[package.dependencies] [package.dependencies]
numpy = [ numpy = [
{version = ">=1.22.4", markers = "python_version < \"3.11\""},
{version = ">=1.23.2", markers = "python_version == \"3.11\""},
{version = ">=1.26.0", markers = "python_version >= \"3.12\""}, {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
{version = ">=1.23.2", markers = "python_version == \"3.11\""},
{version = ">=1.22.4", markers = "python_version < \"3.11\""},
] ]
python-dateutil = ">=2.8.2" python-dateutil = ">=2.8.2"
pytz = ">=2020.1" pytz = ">=2020.1"
@ -640,6 +797,98 @@ files = [
[package.dependencies] [package.dependencies]
ptyprocess = ">=0.5" ptyprocess = ">=0.5"
[[package]]
name = "pillow"
version = "11.0.0"
description = "Python Imaging Library (Fork)"
optional = false
python-versions = ">=3.9"
files = [
{file = "pillow-11.0.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:6619654954dc4936fcff82db8eb6401d3159ec6be81e33c6000dfd76ae189947"},
{file = "pillow-11.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b3c5ac4bed7519088103d9450a1107f76308ecf91d6dabc8a33a2fcfb18d0fba"},
{file = "pillow-11.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a65149d8ada1055029fcb665452b2814fe7d7082fcb0c5bed6db851cb69b2086"},
{file = "pillow-11.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:88a58d8ac0cc0e7f3a014509f0455248a76629ca9b604eca7dc5927cc593c5e9"},
{file = "pillow-11.0.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:c26845094b1af3c91852745ae78e3ea47abf3dbcd1cf962f16b9a5fbe3ee8488"},
{file = "pillow-11.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:1a61b54f87ab5786b8479f81c4b11f4d61702830354520837f8cc791ebba0f5f"},
{file = "pillow-11.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:674629ff60030d144b7bca2b8330225a9b11c482ed408813924619c6f302fdbb"},
{file = "pillow-11.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:598b4e238f13276e0008299bd2482003f48158e2b11826862b1eb2ad7c768b97"},
{file = "pillow-11.0.0-cp310-cp310-win32.whl", hash = "sha256:9a0f748eaa434a41fccf8e1ee7a3eed68af1b690e75328fd7a60af123c193b50"},
{file = "pillow-11.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:a5629742881bcbc1f42e840af185fd4d83a5edeb96475a575f4da50d6ede337c"},
{file = "pillow-11.0.0-cp310-cp310-win_arm64.whl", hash = "sha256:ee217c198f2e41f184f3869f3e485557296d505b5195c513b2bfe0062dc537f1"},
{file = "pillow-11.0.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:1c1d72714f429a521d8d2d018badc42414c3077eb187a59579f28e4270b4b0fc"},
{file = "pillow-11.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:499c3a1b0d6fc8213519e193796eb1a86a1be4b1877d678b30f83fd979811d1a"},
{file = "pillow-11.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c8b2351c85d855293a299038e1f89db92a2f35e8d2f783489c6f0b2b5f3fe8a3"},
{file = "pillow-11.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6f4dba50cfa56f910241eb7f883c20f1e7b1d8f7d91c750cd0b318bad443f4d5"},
{file = "pillow-11.0.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:5ddbfd761ee00c12ee1be86c9c0683ecf5bb14c9772ddbd782085779a63dd55b"},
{file = "pillow-11.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:45c566eb10b8967d71bf1ab8e4a525e5a93519e29ea071459ce517f6b903d7fa"},
{file = "pillow-11.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:b4fd7bd29610a83a8c9b564d457cf5bd92b4e11e79a4ee4716a63c959699b306"},
{file = "pillow-11.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:cb929ca942d0ec4fac404cbf520ee6cac37bf35be479b970c4ffadf2b6a1cad9"},
{file = "pillow-11.0.0-cp311-cp311-win32.whl", hash = "sha256:006bcdd307cc47ba43e924099a038cbf9591062e6c50e570819743f5607404f5"},
{file = "pillow-11.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:52a2d8323a465f84faaba5236567d212c3668f2ab53e1c74c15583cf507a0291"},
{file = "pillow-11.0.0-cp311-cp311-win_arm64.whl", hash = "sha256:16095692a253047fe3ec028e951fa4221a1f3ed3d80c397e83541a3037ff67c9"},
{file = "pillow-11.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d2c0a187a92a1cb5ef2c8ed5412dd8d4334272617f532d4ad4de31e0495bd923"},
{file = "pillow-11.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:084a07ef0821cfe4858fe86652fffac8e187b6ae677e9906e192aafcc1b69903"},
{file = "pillow-11.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8069c5179902dcdce0be9bfc8235347fdbac249d23bd90514b7a47a72d9fecf4"},
{file = "pillow-11.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f02541ef64077f22bf4924f225c0fd1248c168f86e4b7abdedd87d6ebaceab0f"},
{file = "pillow-11.0.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:fcb4621042ac4b7865c179bb972ed0da0218a076dc1820ffc48b1d74c1e37fe9"},
{file = "pillow-11.0.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:00177a63030d612148e659b55ba99527803288cea7c75fb05766ab7981a8c1b7"},
{file = "pillow-11.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8853a3bf12afddfdf15f57c4b02d7ded92c7a75a5d7331d19f4f9572a89c17e6"},
{file = "pillow-11.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3107c66e43bda25359d5ef446f59c497de2b5ed4c7fdba0894f8d6cf3822dafc"},
{file = "pillow-11.0.0-cp312-cp312-win32.whl", hash = "sha256:86510e3f5eca0ab87429dd77fafc04693195eec7fd6a137c389c3eeb4cfb77c6"},
{file = "pillow-11.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:8ec4a89295cd6cd4d1058a5e6aec6bf51e0eaaf9714774e1bfac7cfc9051db47"},
{file = "pillow-11.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:27a7860107500d813fcd203b4ea19b04babe79448268403172782754870dac25"},
{file = "pillow-11.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:bcd1fb5bb7b07f64c15618c89efcc2cfa3e95f0e3bcdbaf4642509de1942a699"},
{file = "pillow-11.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:0e038b0745997c7dcaae350d35859c9715c71e92ffb7e0f4a8e8a16732150f38"},
{file = "pillow-11.0.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ae08bd8ffc41aebf578c2af2f9d8749d91f448b3bfd41d7d9ff573d74f2a6b2"},
{file = "pillow-11.0.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d69bfd8ec3219ae71bcde1f942b728903cad25fafe3100ba2258b973bd2bc1b2"},
{file = "pillow-11.0.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:61b887f9ddba63ddf62fd02a3ba7add935d053b6dd7d58998c630e6dbade8527"},
{file = "pillow-11.0.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:c6a660307ca9d4867caa8d9ca2c2658ab685de83792d1876274991adec7b93fa"},
{file = "pillow-11.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:73e3a0200cdda995c7e43dd47436c1548f87a30bb27fb871f352a22ab8dcf45f"},
{file = "pillow-11.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fba162b8872d30fea8c52b258a542c5dfd7b235fb5cb352240c8d63b414013eb"},
{file = "pillow-11.0.0-cp313-cp313-win32.whl", hash = "sha256:f1b82c27e89fffc6da125d5eb0ca6e68017faf5efc078128cfaa42cf5cb38798"},
{file = "pillow-11.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:8ba470552b48e5835f1d23ecb936bb7f71d206f9dfeee64245f30c3270b994de"},
{file = "pillow-11.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:846e193e103b41e984ac921b335df59195356ce3f71dcfd155aa79c603873b84"},
{file = "pillow-11.0.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:4ad70c4214f67d7466bea6a08061eba35c01b1b89eaa098040a35272a8efb22b"},
{file = "pillow-11.0.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:6ec0d5af64f2e3d64a165f490d96368bb5dea8b8f9ad04487f9ab60dc4bb6003"},
{file = "pillow-11.0.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c809a70e43c7977c4a42aefd62f0131823ebf7dd73556fa5d5950f5b354087e2"},
{file = "pillow-11.0.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:4b60c9520f7207aaf2e1d94de026682fc227806c6e1f55bba7606d1c94dd623a"},
{file = "pillow-11.0.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:1e2688958a840c822279fda0086fec1fdab2f95bf2b717b66871c4ad9859d7e8"},
{file = "pillow-11.0.0-cp313-cp313t-win32.whl", hash = "sha256:607bbe123c74e272e381a8d1957083a9463401f7bd01287f50521ecb05a313f8"},
{file = "pillow-11.0.0-cp313-cp313t-win_amd64.whl", hash = "sha256:5c39ed17edea3bc69c743a8dd3e9853b7509625c2462532e62baa0732163a904"},
{file = "pillow-11.0.0-cp313-cp313t-win_arm64.whl", hash = "sha256:75acbbeb05b86bc53cbe7b7e6fe00fbcf82ad7c684b3ad82e3d711da9ba287d3"},
{file = "pillow-11.0.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:2e46773dc9f35a1dd28bd6981332fd7f27bec001a918a72a79b4133cf5291dba"},
{file = "pillow-11.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2679d2258b7f1192b378e2893a8a0a0ca472234d4c2c0e6bdd3380e8dfa21b6a"},
{file = "pillow-11.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eda2616eb2313cbb3eebbe51f19362eb434b18e3bb599466a1ffa76a033fb916"},
{file = "pillow-11.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20ec184af98a121fb2da42642dea8a29ec80fc3efbaefb86d8fdd2606619045d"},
{file = "pillow-11.0.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:8594f42df584e5b4bb9281799698403f7af489fba84c34d53d1c4bfb71b7c4e7"},
{file = "pillow-11.0.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:c12b5ae868897c7338519c03049a806af85b9b8c237b7d675b8c5e089e4a618e"},
{file = "pillow-11.0.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:70fbbdacd1d271b77b7721fe3cdd2d537bbbd75d29e6300c672ec6bb38d9672f"},
{file = "pillow-11.0.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:5178952973e588b3f1360868847334e9e3bf49d19e169bbbdfaf8398002419ae"},
{file = "pillow-11.0.0-cp39-cp39-win32.whl", hash = "sha256:8c676b587da5673d3c75bd67dd2a8cdfeb282ca38a30f37950511766b26858c4"},
{file = "pillow-11.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:94f3e1780abb45062287b4614a5bc0874519c86a777d4a7ad34978e86428b8dd"},
{file = "pillow-11.0.0-cp39-cp39-win_arm64.whl", hash = "sha256:290f2cc809f9da7d6d622550bbf4c1e57518212da51b6a30fe8e0a270a5b78bd"},
{file = "pillow-11.0.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:1187739620f2b365de756ce086fdb3604573337cc28a0d3ac4a01ab6b2d2a6d2"},
{file = "pillow-11.0.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fbbcb7b57dc9c794843e3d1258c0fbf0f48656d46ffe9e09b63bbd6e8cd5d0a2"},
{file = "pillow-11.0.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d203af30149ae339ad1b4f710d9844ed8796e97fda23ffbc4cc472968a47d0b"},
{file = "pillow-11.0.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21a0d3b115009ebb8ac3d2ebec5c2982cc693da935f4ab7bb5c8ebe2f47d36f2"},
{file = "pillow-11.0.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:73853108f56df97baf2bb8b522f3578221e56f646ba345a372c78326710d3830"},
{file = "pillow-11.0.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e58876c91f97b0952eb766123bfef372792ab3f4e3e1f1a2267834c2ab131734"},
{file = "pillow-11.0.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:224aaa38177597bb179f3ec87eeefcce8e4f85e608025e9cfac60de237ba6316"},
{file = "pillow-11.0.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:5bd2d3bdb846d757055910f0a59792d33b555800813c3b39ada1829c372ccb06"},
{file = "pillow-11.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:375b8dd15a1f5d2feafff536d47e22f69625c1aa92f12b339ec0b2ca40263273"},
{file = "pillow-11.0.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:daffdf51ee5db69a82dd127eabecce20729e21f7a3680cf7cbb23f0829189790"},
{file = "pillow-11.0.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7326a1787e3c7b0429659e0a944725e1b03eeaa10edd945a86dead1913383944"},
{file = "pillow-11.0.0.tar.gz", hash = "sha256:72bacbaf24ac003fea9bff9837d1eedb6088758d41e100c1552930151f677739"},
]
[package.extras]
docs = ["furo", "olefile", "sphinx (>=8.1)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
fpx = ["olefile"]
mic = ["olefile"]
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
typing = ["typing-extensions"]
xmp = ["defusedxml"]
[[package]] [[package]]
name = "platformdirs" name = "platformdirs"
version = "4.3.6" version = "4.3.6"
@ -689,6 +938,26 @@ files = [
[package.dependencies] [package.dependencies]
wcwidth = "*" wcwidth = "*"
[[package]]
name = "protobuf"
version = "5.26.1"
description = ""
optional = false
python-versions = ">=3.8"
files = [
{file = "protobuf-5.26.1-cp310-abi3-win32.whl", hash = "sha256:3c388ea6ddfe735f8cf69e3f7dc7611e73107b60bdfcf5d0f024c3ccd3794e23"},
{file = "protobuf-5.26.1-cp310-abi3-win_amd64.whl", hash = "sha256:e6039957449cb918f331d32ffafa8eb9255769c96aa0560d9a5bf0b4e00a2a33"},
{file = "protobuf-5.26.1-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:38aa5f535721d5bb99861166c445c4105c4e285c765fbb2ac10f116e32dcd46d"},
{file = "protobuf-5.26.1-cp37-abi3-manylinux2014_aarch64.whl", hash = "sha256:fbfe61e7ee8c1860855696e3ac6cfd1b01af5498facc6834fcc345c9684fb2ca"},
{file = "protobuf-5.26.1-cp37-abi3-manylinux2014_x86_64.whl", hash = "sha256:f7417703f841167e5a27d48be13389d52ad705ec09eade63dfc3180a959215d7"},
{file = "protobuf-5.26.1-cp38-cp38-win32.whl", hash = "sha256:d693d2504ca96750d92d9de8a103102dd648fda04540495535f0fec7577ed8fc"},
{file = "protobuf-5.26.1-cp38-cp38-win_amd64.whl", hash = "sha256:9b557c317ebe6836835ec4ef74ec3e994ad0894ea424314ad3552bc6e8835b4e"},
{file = "protobuf-5.26.1-cp39-cp39-win32.whl", hash = "sha256:b9ba3ca83c2e31219ffbeb9d76b63aad35a3eb1544170c55336993d7a18ae72c"},
{file = "protobuf-5.26.1-cp39-cp39-win_amd64.whl", hash = "sha256:7ee014c2c87582e101d6b54260af03b6596728505c79f17c8586e7523aaa8f8c"},
{file = "protobuf-5.26.1-py3-none-any.whl", hash = "sha256:da612f2720c0183417194eeaa2523215c4fcc1a1949772dc65f05047e08d5932"},
{file = "protobuf-5.26.1.tar.gz", hash = "sha256:8ca2a1d97c290ec7b16e4e5dff2e5ae150cc1582f55b5ab300d45cb0dfa90e51"},
]
[[package]] [[package]]
name = "psutil" name = "psutil"
version = "6.1.0" version = "6.1.0"
@ -755,6 +1024,19 @@ files = [
{file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"}, {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
] ]
[[package]]
name = "pygifsicle"
version = "1.1.0"
description = "Python package wrapping the gifsicle library for editing and optimizing gifs."
optional = false
python-versions = "*"
files = [
{file = "pygifsicle-1.1.0.tar.gz", hash = "sha256:dcef433520ace4c1136dfc7060e77042142a3dbd6bdb6a19bd9149ef5cbe7441"},
]
[package.extras]
test = ["pytest", "pytest-cov", "touch", "validate_version_code"]
[[package]] [[package]]
name = "pygments" name = "pygments"
version = "2.18.0" version = "2.18.0"
@ -771,13 +1053,13 @@ windows-terminal = ["colorama (>=0.4.6)"]
[[package]] [[package]]
name = "pyright" name = "pyright"
version = "1.1.389" version = "1.1.390"
description = "Command line wrapper for pyright" description = "Command line wrapper for pyright"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "pyright-1.1.389-py3-none-any.whl", hash = "sha256:41e9620bba9254406dc1f621a88ceab5a88af4c826feb4f614d95691ed243a60"}, {file = "pyright-1.1.390-py3-none-any.whl", hash = "sha256:ecebfba5b6b50af7c1a44c2ba144ba2ab542c227eb49bc1f16984ff714e0e110"},
{file = "pyright-1.1.389.tar.gz", hash = "sha256:716bf8cc174ab8b4dcf6828c3298cac05c5ed775dda9910106a5dcfe4c7fe220"}, {file = "pyright-1.1.390.tar.gz", hash = "sha256:aad7f160c49e0fbf8209507a15e17b781f63a86a1facb69ca877c71ef2e9538d"},
] ]
[package.dependencies] [package.dependencies]
@ -1026,90 +1308,40 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
[[package]] [[package]]
name = "ruff" name = "ruff"
version = "0.8.1" version = "0.8.3"
description = "An extremely fast Python linter and code formatter, written in Rust." description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "ruff-0.8.1-py3-none-linux_armv6l.whl", hash = "sha256:fae0805bd514066f20309f6742f6ee7904a773eb9e6c17c45d6b1600ca65c9b5"}, {file = "ruff-0.8.3-py3-none-linux_armv6l.whl", hash = "sha256:8d5d273ffffff0acd3db5bf626d4b131aa5a5ada1276126231c4174543ce20d6"},
{file = "ruff-0.8.1-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:b8a4f7385c2285c30f34b200ca5511fcc865f17578383db154e098150ce0a087"}, {file = "ruff-0.8.3-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:e4d66a21de39f15c9757d00c50c8cdd20ac84f55684ca56def7891a025d7e939"},
{file = "ruff-0.8.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:cd054486da0c53e41e0086e1730eb77d1f698154f910e0cd9e0d64274979a209"}, {file = "ruff-0.8.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:c356e770811858bd20832af696ff6c7e884701115094f427b64b25093d6d932d"},
{file = "ruff-0.8.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2029b8c22da147c50ae577e621a5bfbc5d1fed75d86af53643d7a7aee1d23871"}, {file = "ruff-0.8.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c0a60a825e3e177116c84009d5ebaa90cf40dfab56e1358d1df4e29a9a14b13"},
{file = "ruff-0.8.1-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2666520828dee7dfc7e47ee4ea0d928f40de72056d929a7c5292d95071d881d1"}, {file = "ruff-0.8.3-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:75fb782f4db39501210ac093c79c3de581d306624575eddd7e4e13747e61ba18"},
{file = "ruff-0.8.1-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:333c57013ef8c97a53892aa56042831c372e0bb1785ab7026187b7abd0135ad5"}, {file = "ruff-0.8.3-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7f26bc76a133ecb09a38b7868737eded6941b70a6d34ef53a4027e83913b6502"},
{file = "ruff-0.8.1-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:288326162804f34088ac007139488dcb43de590a5ccfec3166396530b58fb89d"}, {file = "ruff-0.8.3-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:01b14b2f72a37390c1b13477c1c02d53184f728be2f3ffc3ace5b44e9e87b90d"},
{file = "ruff-0.8.1-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b12c39b9448632284561cbf4191aa1b005882acbc81900ffa9f9f471c8ff7e26"}, {file = "ruff-0.8.3-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:53babd6e63e31f4e96ec95ea0d962298f9f0d9cc5990a1bbb023a6baf2503a82"},
{file = "ruff-0.8.1-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:364e6674450cbac8e998f7b30639040c99d81dfb5bbc6dfad69bc7a8f916b3d1"}, {file = "ruff-0.8.3-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1ae441ce4cf925b7f363d33cd6570c51435972d697e3e58928973994e56e1452"},
{file = "ruff-0.8.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b22346f845fec132aa39cd29acb94451d030c10874408dbf776af3aaeb53284c"}, {file = "ruff-0.8.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7c65bc0cadce32255e93c57d57ecc2cca23149edd52714c0c5d6fa11ec328cd"},
{file = "ruff-0.8.1-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:b2f2f7a7e7648a2bfe6ead4e0a16745db956da0e3a231ad443d2a66a105c04fa"}, {file = "ruff-0.8.3-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:5be450bb18f23f0edc5a4e5585c17a56ba88920d598f04a06bd9fd76d324cb20"},
{file = "ruff-0.8.1-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:adf314fc458374c25c5c4a4a9270c3e8a6a807b1bec018cfa2813d6546215540"}, {file = "ruff-0.8.3-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:8faeae3827eaa77f5721f09b9472a18c749139c891dbc17f45e72d8f2ca1f8fc"},
{file = "ruff-0.8.1-py3-none-musllinux_1_2_i686.whl", hash = "sha256:a885d68342a231b5ba4d30b8c6e1b1ee3a65cf37e3d29b3c74069cdf1ee1e3c9"}, {file = "ruff-0.8.3-py3-none-musllinux_1_2_i686.whl", hash = "sha256:db503486e1cf074b9808403991663e4277f5c664d3fe237ee0d994d1305bb060"},
{file = "ruff-0.8.1-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:d2c16e3508c8cc73e96aa5127d0df8913d2290098f776416a4b157657bee44c5"}, {file = "ruff-0.8.3-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:6567be9fb62fbd7a099209257fef4ad2c3153b60579818b31a23c886ed4147ea"},
{file = "ruff-0.8.1-py3-none-win32.whl", hash = "sha256:93335cd7c0eaedb44882d75a7acb7df4b77cd7cd0d2255c93b28791716e81790"}, {file = "ruff-0.8.3-py3-none-win32.whl", hash = "sha256:19048f2f878f3ee4583fc6cb23fb636e48c2635e30fb2022b3a1cd293402f964"},
{file = "ruff-0.8.1-py3-none-win_amd64.whl", hash = "sha256:2954cdbe8dfd8ab359d4a30cd971b589d335a44d444b6ca2cb3d1da21b75e4b6"}, {file = "ruff-0.8.3-py3-none-win_amd64.whl", hash = "sha256:f7df94f57d7418fa7c3ffb650757e0c2b96cf2501a0b192c18e4fb5571dfada9"},
{file = "ruff-0.8.1-py3-none-win_arm64.whl", hash = "sha256:55873cc1a473e5ac129d15eccb3c008c096b94809d693fc7053f588b67822737"}, {file = "ruff-0.8.3-py3-none-win_arm64.whl", hash = "sha256:fe2756edf68ea79707c8d68b78ca9a58ed9af22e430430491ee03e718b5e4936"},
{file = "ruff-0.8.1.tar.gz", hash = "sha256:3583db9a6450364ed5ca3f3b4225958b24f78178908d5c4bc0f46251ccca898f"}, {file = "ruff-0.8.3.tar.gz", hash = "sha256:5e7558304353b84279042fc584a4f4cb8a07ae79b2bf3da1a7551d960b5626d3"},
] ]
[[package]]
name = "scipy"
version = "1.14.1"
description = "Fundamental algorithms for scientific computing in Python"
optional = false
python-versions = ">=3.10"
files = [
{file = "scipy-1.14.1-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:b28d2ca4add7ac16ae8bb6632a3c86e4b9e4d52d3e34267f6e1b0c1f8d87e389"},
{file = "scipy-1.14.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d0d2821003174de06b69e58cef2316a6622b60ee613121199cb2852a873f8cf3"},
{file = "scipy-1.14.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:8bddf15838ba768bb5f5083c1ea012d64c9a444e16192762bd858f1e126196d0"},
{file = "scipy-1.14.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:97c5dddd5932bd2a1a31c927ba5e1463a53b87ca96b5c9bdf5dfd6096e27efc3"},
{file = "scipy-1.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ff0a7e01e422c15739ecd64432743cf7aae2b03f3084288f399affcefe5222d"},
{file = "scipy-1.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e32dced201274bf96899e6491d9ba3e9a5f6b336708656466ad0522d8528f69"},
{file = "scipy-1.14.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8426251ad1e4ad903a4514712d2fa8fdd5382c978010d1c6f5f37ef286a713ad"},
{file = "scipy-1.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:a49f6ed96f83966f576b33a44257d869756df6cf1ef4934f59dd58b25e0327e5"},
{file = "scipy-1.14.1-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:2da0469a4ef0ecd3693761acbdc20f2fdeafb69e6819cc081308cc978153c675"},
{file = "scipy-1.14.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:c0ee987efa6737242745f347835da2cc5bb9f1b42996a4d97d5c7ff7928cb6f2"},
{file = "scipy-1.14.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3a1b111fac6baec1c1d92f27e76511c9e7218f1695d61b59e05e0fe04dc59617"},
{file = "scipy-1.14.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:8475230e55549ab3f207bff11ebfc91c805dc3463ef62eda3ccf593254524ce8"},
{file = "scipy-1.14.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:278266012eb69f4a720827bdd2dc54b2271c97d84255b2faaa8f161a158c3b37"},
{file = "scipy-1.14.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fef8c87f8abfb884dac04e97824b61299880c43f4ce675dd2cbeadd3c9b466d2"},
{file = "scipy-1.14.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b05d43735bb2f07d689f56f7b474788a13ed8adc484a85aa65c0fd931cf9ccd2"},
{file = "scipy-1.14.1-cp311-cp311-win_amd64.whl", hash = "sha256:716e389b694c4bb564b4fc0c51bc84d381735e0d39d3f26ec1af2556ec6aad94"},
{file = "scipy-1.14.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:631f07b3734d34aced009aaf6fedfd0eb3498a97e581c3b1e5f14a04164a456d"},
{file = "scipy-1.14.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:af29a935803cc707ab2ed7791c44288a682f9c8107bc00f0eccc4f92c08d6e07"},
{file = "scipy-1.14.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:2843f2d527d9eebec9a43e6b406fb7266f3af25a751aa91d62ff416f54170bc5"},
{file = "scipy-1.14.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:eb58ca0abd96911932f688528977858681a59d61a7ce908ffd355957f7025cfc"},
{file = "scipy-1.14.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:30ac8812c1d2aab7131a79ba62933a2a76f582d5dbbc695192453dae67ad6310"},
{file = "scipy-1.14.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f9ea80f2e65bdaa0b7627fb00cbeb2daf163caa015e59b7516395fe3bd1e066"},
{file = "scipy-1.14.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:edaf02b82cd7639db00dbff629995ef185c8df4c3ffa71a5562a595765a06ce1"},
{file = "scipy-1.14.1-cp312-cp312-win_amd64.whl", hash = "sha256:2ff38e22128e6c03ff73b6bb0f85f897d2362f8c052e3b8ad00532198fbdae3f"},
{file = "scipy-1.14.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1729560c906963fc8389f6aac023739ff3983e727b1a4d87696b7bf108316a79"},
{file = "scipy-1.14.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:4079b90df244709e675cdc8b93bfd8a395d59af40b72e339c2287c91860deb8e"},
{file = "scipy-1.14.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:e0cf28db0f24a38b2a0ca33a85a54852586e43cf6fd876365c86e0657cfe7d73"},
{file = "scipy-1.14.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0c2f95de3b04e26f5f3ad5bb05e74ba7f68b837133a4492414b3afd79dfe540e"},
{file = "scipy-1.14.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b99722ea48b7ea25e8e015e8341ae74624f72e5f21fc2abd45f3a93266de4c5d"},
{file = "scipy-1.14.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5149e3fd2d686e42144a093b206aef01932a0059c2a33ddfa67f5f035bdfe13e"},
{file = "scipy-1.14.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e4f5a7c49323533f9103d4dacf4e4f07078f360743dec7f7596949149efeec06"},
{file = "scipy-1.14.1-cp313-cp313-win_amd64.whl", hash = "sha256:baff393942b550823bfce952bb62270ee17504d02a1801d7fd0719534dfb9c84"},
{file = "scipy-1.14.1.tar.gz", hash = "sha256:5a275584e726026a5699459aa72f828a610821006228e841b94275c4a7c08417"},
]
[package.dependencies]
numpy = ">=1.23.5,<2.3"
[package.extras]
dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"]
doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.13.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<=7.3.7)", "sphinx-design (>=0.4.0)"]
test = ["Cython", "array-api-strict (>=2.0)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
[[package]] [[package]]
name = "six" name = "six"
version = "1.16.0" version = "1.17.0"
description = "Python 2 and 3 compatibility utilities" description = "Python 2 and 3 compatibility utilities"
optional = false optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
files = [ files = [
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"}, {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
] ]
[[package]] [[package]]
@ -1245,6 +1477,20 @@ files = [
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"] test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
[[package]]
name = "types-networkx"
version = "3.4.2.20241115"
description = "Typing stubs for networkx"
optional = false
python-versions = ">=3.8"
files = [
{file = "types-networkx-3.4.2.20241115.tar.gz", hash = "sha256:d669b650cf6c6c9ec879a825449eb04a5c10742f3109177e1683f57ee49e0f59"},
{file = "types_networkx-3.4.2.20241115-py3-none-any.whl", hash = "sha256:f0c382924d6614e06bf0b1ca0b837b8f33faa58982bc086ea762efaf39aa98dd"},
]
[package.dependencies]
numpy = ">=1.20"
[[package]] [[package]]
name = "typing-extensions" name = "typing-extensions"
version = "4.12.2" version = "4.12.2"
@ -1281,4 +1527,4 @@ files = [
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.10" python-versions = "^3.10"
content-hash = "b643261f91a781d77735e05f6d2ac1002867600c2df6393a9d1a15f5e1189109" content-hash = "5b57bccd8dc65a9acecbe187939bae625ef6a259f4188c6587907245bcfa604f"

View File

@ -12,10 +12,12 @@ python = "^3.10"
numpy = "^2.1.3" numpy = "^2.1.3"
tqdm = "^4.67.1" tqdm = "^4.67.1"
parse = "^1.20.2" parse = "^1.20.2"
scipy = "^1.14.1"
sympy = "^1.13.3" sympy = "^1.13.3"
networkx = "^3.4.2" networkx = "^3.4.2"
pandas = "^2.2.3" pillow = "^11.0.0"
imageio = "^2.36.1"
pygifsicle = "^1.1.0"
opencv-python = "^4.10.0.84"
[tool.poetry.group.dev.dependencies] [tool.poetry.group.dev.dependencies]
pyright = "^1.1.389" pyright = "^1.1.389"
@ -23,6 +25,14 @@ ruff = "^0.8.1"
poethepoet = "^0.31.1" poethepoet = "^0.31.1"
ipykernel = "^6.29.5" ipykernel = "^6.29.5"
networkx-stubs = "^0.0.1" networkx-stubs = "^0.0.1"
types-networkx = "^3.4.2.20241115"
[tool.poetry.group.cplex.dependencies]
docplex = "^2.28.240"
cplex = "^22.1.1.2"
[tool.poetry.group.ortools.dependencies]
ortools = "^9.11.4210"
[tool.poetry.scripts] [tool.poetry.scripts]
holt59-aoc = "holt59.aoc.__main__:main" holt59-aoc = "holt59.aoc.__main__:main"

View File

@ -1,10 +1,12 @@
import sys from typing import Any, Iterator
line = sys.stdin.read().strip() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
floor = 0 floor = 0
floors = [(floor := floor + (1 if c == "(" else -1)) for c in line] floors = [(floor := floor + (1 if c == "(" else -1)) for c in input]
yield floors[-1]
print(f"answer 1 is {floors[-1]}") yield floors.index(-1)
print(f"answer 2 is {floors.index(-1)}")

View File

@ -1,7 +1,7 @@
import itertools import itertools
import sys from typing import Any, Iterator
line = sys.stdin.read().strip() from ..base import BaseSolver
# see http://www.se16.info/js/lands2.htm for the explanation of 'atoms' (or elements) # see http://www.se16.info/js/lands2.htm for the explanation of 'atoms' (or elements)
# #
@ -9,7 +9,7 @@ line = sys.stdin.read().strip()
# CodeGolf answer https://codegolf.stackexchange.com/a/8479/42148 # CodeGolf answer https://codegolf.stackexchange.com/a/8479/42148
# fmt: off # fmt: off
atoms = [ ATOMS: list[tuple[str, tuple[int, ...]]] = [
("22", (0, )), # 0 ("22", (0, )), # 0
("13112221133211322112211213322112", (71, 90, 0, 19, 2, )), # 1 ("13112221133211322112211213322112", (71, 90, 0, 19, 2, )), # 1
("312211322212221121123222112", (1, )), # 2 ("312211322212221121123222112", (1, )), # 2
@ -105,7 +105,7 @@ atoms = [
] ]
# fmt: on # fmt: on
starters = [ STARTERS = [
"1", "1",
"11", "11",
"21", "21",
@ -122,27 +122,26 @@ def look_and_say_length(s: str, n: int) -> int:
if n == 0: if n == 0:
return len(s) return len(s)
if s in starters: if s in STARTERS:
return look_and_say_length( return look_and_say_length(
"".join(f"{len(list(g))}{k}" for k, g in itertools.groupby(s)), n - 1 "".join(f"{len(list(g))}{k}" for k, g in itertools.groupby(s)), n - 1
) )
counts = {i: 0 for i in range(len(atoms))} counts = {i: 0 for i in range(len(ATOMS))}
idx = next(i for i, (a, _) in enumerate(atoms) if s == a) idx = next(i for i, (a, _) in enumerate(ATOMS) if s == a)
counts[idx] = 1 counts[idx] = 1
for _ in range(n): for _ in range(n):
c2 = {i: 0 for i in range(len(atoms))} c2 = {i: 0 for i in range(len(ATOMS))}
for i in counts: for i in counts:
for j in atoms[i][1]: for j in ATOMS[i][1]:
c2[j] += counts[i] c2[j] += counts[i]
counts = c2 counts = c2
return sum(counts[i] * len(a[0]) for i, a in enumerate(atoms)) return sum(counts[i] * len(a[0]) for i, a in enumerate(ATOMS))
answer_1 = look_and_say_length(line, 40) class Solver(BaseSolver):
print(f"answer 1 is {answer_1}") def solve(self, input: str) -> Iterator[Any] | None:
yield look_and_say_length(input, 40)
answer_2 = look_and_say_length(line, 50) yield look_and_say_length(input, 50)
print(f"answer 2 is {answer_2}")

View File

@ -1,5 +1,7 @@
import itertools import itertools
import sys from typing import Any, Iterator
from ..base import BaseSolver
def is_valid(p: str) -> bool: def is_valid(p: str) -> bool:
@ -40,10 +42,8 @@ def find_next_password(p: str) -> str:
return p return p
line = sys.stdin.read().strip() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
answer_1 = find_next_password(line) answer_1 = find_next_password(input)
print(f"answer 1 is {answer_1}") yield answer_1
yield find_next_password(increment(answer_1))
answer_2 = find_next_password(increment(answer_1))
print(f"answer 2 is {answer_2}")

View File

@ -1,6 +1,7 @@
import json import json
import sys from typing import Any, Iterator, TypeAlias
from typing import TypeAlias
from ..base import BaseSolver
JsonObject: TypeAlias = dict[str, "JsonObject"] | list["JsonObject"] | int | str JsonObject: TypeAlias = dict[str, "JsonObject"] | list["JsonObject"] | int | str
@ -18,10 +19,9 @@ def json_sum(value: JsonObject, ignore: str | None = None) -> int:
return 0 return 0
data: JsonObject = json.load(sys.stdin) class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
data: JsonObject = json.loads(input)
answer_1 = json_sum(data) yield json_sum(data)
print(f"answer 1 is {answer_1}") yield json_sum(data, "red")
answer_2 = json_sum(data, "red")
print(f"answer 2 is {answer_2}")

View File

@ -1,10 +1,11 @@
import itertools import itertools
import sys
from collections import defaultdict from collections import defaultdict
from typing import Literal, cast from typing import Any, Iterator, Literal, cast
import parse # type: ignore import parse # type: ignore
from ..base import BaseSolver
def max_change_in_happiness(happiness: dict[str, dict[str, int]]) -> int: def max_change_in_happiness(happiness: dict[str, dict[str, int]]) -> int:
guests = list(happiness) guests = list(happiness)
@ -17,7 +18,9 @@ def max_change_in_happiness(happiness: dict[str, dict[str, int]]) -> int:
) )
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
happiness: dict[str, dict[str, int]] = defaultdict(dict) happiness: dict[str, dict[str, int]] = defaultdict(dict)
for line in lines: for line in lines:
@ -29,13 +32,9 @@ for line in lines:
) )
happiness[u1][u2] = hap if gain_or_loose == "gain" else -hap happiness[u1][u2] = hap if gain_or_loose == "gain" else -hap
yield max_change_in_happiness(happiness)
answer_1 = max_change_in_happiness(happiness)
print(f"answer 1 is {answer_1}")
for guest in list(happiness): for guest in list(happiness):
happiness["me"][guest] = 0 happiness["me"][guest] = 0
happiness[guest]["me"] = 0 happiness[guest]["me"] = 0
answer_2 = max_change_in_happiness(happiness) yield max_change_in_happiness(happiness)
print(f"answer 2 is {answer_2}")

View File

@ -1,9 +1,10 @@
import sys
from dataclasses import dataclass from dataclasses import dataclass
from typing import Literal, cast from typing import Any, Iterator, Literal, cast
import parse # type: ignore import parse # type: ignore
from ..base import BaseSolver
@dataclass(frozen=True) @dataclass(frozen=True)
class Reindeer: class Reindeer:
@ -13,7 +14,9 @@ class Reindeer:
rest_time: int rest_time: int
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
reindeers: list[Reindeer] = [] reindeers: list[Reindeer] = []
for line in lines: for line in lines:
@ -26,7 +29,9 @@ for line in lines:
), ),
) )
reindeers.append( reindeers.append(
Reindeer(name=reindeer, speed=speed, fly_time=speed_time, rest_time=rest_time) Reindeer(
name=reindeer, speed=speed, fly_time=speed_time, rest_time=rest_time
)
) )
target = 1000 if len(reindeers) <= 2 else 2503 target = 1000 if len(reindeers) <= 2 else 2503
@ -37,7 +42,7 @@ states: dict[Reindeer, tuple[Literal["resting", "flying"], int]] = {
distances: dict[Reindeer, int] = {reindeer: 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} points: dict[Reindeer, int] = {reindeer: 0 for reindeer in reindeers}
for time in range(target): for time in self.progress.wrap(range(target)):
for reindeer in reindeers: for reindeer in reindeers:
if states[reindeer][0] == "flying": if states[reindeer][0] == "flying":
distances[reindeer] += reindeer.speed distances[reindeer] += reindeer.speed
@ -54,9 +59,5 @@ for time in range(target):
else: else:
states[reindeer] = ("resting", time + reindeer.rest_time) states[reindeer] = ("resting", time + reindeer.rest_time)
yield max(distances.values())
answer_1 = max(distances.values()) yield max(points.values()) - 1
print(f"answer 1 is {answer_1}")
answer_2 = max(points.values()) - 1
print(f"answer 2 is {answer_2}")

View File

@ -1,9 +1,10 @@
import math import math
import sys from typing import Any, Iterator, Sequence, cast
from typing import Sequence, cast
import parse # type: ignore import parse # type: ignore
from ..base import BaseSolver
def score(ingredients: list[list[int]], teaspoons: Sequence[int]) -> int: def score(ingredients: list[list[int]], teaspoons: Sequence[int]) -> int:
return math.prod( return math.prod(
@ -18,7 +19,9 @@ def score(ingredients: list[list[int]], teaspoons: Sequence[int]) -> int:
) )
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
ingredients: list[list[int]] = [] ingredients: list[list[int]] = []
for line in lines: for line in lines:
@ -49,9 +52,5 @@ for a in range(total_teaspoons + 1):
) )
) )
yield max(scores)
answer_1 = max(scores) yield max(score for score, calory in zip(scores, calories) if calory == 500)
print(f"answer 1 is {answer_1}")
answer_2 = max(score for score, calory in zip(scores, calories) if calory == 500)
print(f"answer 2 is {answer_2}")

View File

@ -1,8 +1,9 @@
import operator as op import operator as op
import re import re
import sys
from collections import defaultdict from collections import defaultdict
from typing import Callable from typing import Any, Callable, Iterator
from ..base import BaseSolver
MFCSAM: dict[str, int] = { MFCSAM: dict[str, int] = {
"children": 3, "children": 3,
@ -17,18 +18,10 @@ MFCSAM: dict[str, int] = {
"perfumes": 1, "perfumes": 1,
} }
lines = sys.stdin.readlines()
aunts: list[dict[str, int]] = [ def match(
{ aunts: list[dict[str, int]], operators: dict[str, Callable[[int, int], bool]]
match[1]: int(match[2]) ) -> int:
for match in re.findall(R"((?P<compound>[^:, ]+): (?P<quantity>\d+))", line)
}
for line in lines
]
def match(operators: dict[str, Callable[[int, int], bool]]) -> int:
return next( return next(
i i
for i, aunt in enumerate(aunts, start=1) for i, aunt in enumerate(aunts, start=1)
@ -36,16 +29,29 @@ def match(operators: dict[str, Callable[[int, int], bool]]) -> int:
) )
answer_1 = match(defaultdict(lambda: op.eq)) class Solver(BaseSolver):
print(f"answer 1 is {answer_1}") def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
answer_2 = match( aunts: list[dict[str, int]] = [
{
match[1]: int(match[2])
for match in re.findall(
R"((?P<compound>[^:, ]+): (?P<quantity>\d+))", line
)
}
for line in lines
]
yield match(aunts, defaultdict(lambda: op.eq))
yield match(
aunts,
defaultdict( defaultdict(
lambda: op.eq, lambda: op.eq,
trees=op.gt, trees=op.gt,
cats=op.gt, cats=op.gt,
pomeranians=op.lt, pomeranians=op.lt,
goldfish=op.lt, goldfish=op.lt,
),
) )
)
print(f"answer 2 is {answer_2}")

View File

@ -1,5 +1,6 @@
import sys from typing import Any, Iterator
from typing import Iterator
from ..base import BaseSolver
def iter_combinations(value: int, containers: list[int]) -> Iterator[tuple[int, ...]]: def iter_combinations(value: int, containers: list[int]) -> Iterator[tuple[int, ...]]:
@ -16,15 +17,18 @@ def iter_combinations(value: int, containers: list[int]) -> Iterator[tuple[int,
yield (containers[i],) + combination yield (containers[i],) + combination
containers = [int(c) for c in sys.stdin.read().split()] class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
containers = [int(c) for c in input.split()]
total = 25 if len(containers) <= 5 else 150 total = 25 if len(containers) <= 5 else 150
combinations = [combination for combination in iter_combinations(total, containers)] combinations = [
combination for combination in iter_combinations(total, containers)
]
answer_1 = len(combinations) yield len(combinations)
print(f"answer 1 is {answer_1}")
min_containers = min(len(combination) for combination in combinations) min_containers = min(len(combination) for combination in combinations)
yield sum(
answer_2 = sum(1 for combination in combinations if len(combination) == min_containers) 1 for combination in combinations if len(combination) == min_containers
print(f"answer 2 is {answer_2}") )

View File

@ -1,10 +1,15 @@
import itertools import itertools
import sys from typing import Any, Iterator
import numpy as np import numpy as np
from numpy.typing import NDArray from numpy.typing import NDArray
grid0 = np.array([[c == "#" for c in line] for line in sys.stdin.read().splitlines()]) from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
grid0 = np.array([[c == "#" for c in line] for line in input.splitlines()])
# add an always off circle around # add an always off circle around
grid0 = np.concatenate( grid0 = np.concatenate(
@ -34,7 +39,6 @@ iis, jjs = iis.flatten(), jjs.flatten()
ins = iis[:, None] + np.array(moves)[:, 0] ins = iis[:, None] + np.array(moves)[:, 0]
jns = jjs[:, None] + np.array(moves)[:, 1] jns = jjs[:, None] + np.array(moves)[:, 1]
def game_of_life(grid: NDArray[np.bool_]) -> NDArray[np.bool_]: def game_of_life(grid: NDArray[np.bool_]) -> NDArray[np.bool_]:
neighbors_on = grid[ins, jns].sum(axis=1) neighbors_on = grid[ins, jns].sum(axis=1)
cells_on = grid[iis, jjs] cells_on = grid[iis, jjs]
@ -44,15 +48,12 @@ def game_of_life(grid: NDArray[np.bool_]) -> NDArray[np.bool_]:
return grid return grid
grid = grid0 grid = grid0
n_steps = 4 if len(grid) < 10 else 100 n_steps = 4 if len(grid) < 10 else 100
for _ in range(n_steps): for _ in range(n_steps):
grid = game_of_life(grid) grid = game_of_life(grid)
answer_1 = grid.sum() yield grid.sum()
print(f"answer 1 is {answer_1}")
n_steps = 5 if len(grid) < 10 else 100 n_steps = 5 if len(grid) < 10 else 100
grid = grid0 grid = grid0
@ -62,5 +63,4 @@ for _ in range(n_steps):
grid[[1, 1, -2, -2], [1, -2, 1, -2]] = True grid[[1, 1, -2, -2], [1, -2, 1, -2]] = True
answer_2 = sum(cell for line in grid for cell in line) yield sum(cell for line in grid for cell in line)
print(f"answer 2 is {answer_2}")

View File

@ -1,7 +1,12 @@
import sys
from collections import defaultdict from collections import defaultdict
from typing import Any, Iterator
replacements_s, molecule = sys.stdin.read().split("\n\n") from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
replacements_s, molecule = input.split("\n\n")
REPLACEMENTS: dict[str, list[str]] = defaultdict(list) REPLACEMENTS: dict[str, list[str]] = defaultdict(list)
for replacement_s in replacements_s.splitlines(): for replacement_s in replacements_s.splitlines():
@ -17,8 +22,7 @@ generated = [
if molecule[i:].startswith(symbol) if molecule[i:].startswith(symbol)
] ]
answer_1 = len(set(generated)) yield len(set(generated))
print(f"answer 1 is {answer_1}")
inversion: dict[str, str] = { inversion: dict[str, str] = {
replacement: symbol replacement: symbol
@ -48,9 +52,6 @@ while molecule != "e":
m2 += molecule[i] m2 += molecule[i]
i += 1 i += 1
# print(m2)
molecule = m2 molecule = m2
yield count
answer_2 = count
print(f"answer 2 is {count}")

View File

@ -1,20 +1,24 @@
import sys from typing import Any, Iterator
import numpy as np import numpy as np
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
length, width, height = np.array( length, width, height = np.array(
[[int(c) for c in line.split("x")] for line in lines] [[int(c) for c in line.split("x")] for line in input.splitlines()]
).T ).T
lw, wh, hl = (length * width, width * height, height * length) lw, wh, hl = (length * width, width * height, height * length)
answer_1 = np.sum(2 * (lw + wh + hl) + np.min(np.stack([lw, wh, hl]), axis=0)) yield np.sum(2 * (lw + wh + hl) + np.min(np.stack([lw, wh, hl]), axis=0))
print(f"answer 1 is {answer_1}")
answer_2 = np.sum( yield np.sum(
length * width * height length * width * height
+ 2 * np.min(np.stack([length + width, length + height, height + width]), axis=0) + 2
* np.min(
np.stack([length + width, length + height, height + width]), axis=0
)
) )
print(f"answer 2 is {answer_2}")

View File

@ -1,10 +1,10 @@
import itertools import itertools
import sys from typing import Any, Iterator
target = int(sys.stdin.read()) from ..base import BaseSolver
def presents(n: int, elf: int, max: int = target) -> int: def presents(n: int, elf: int, max: int) -> int:
count = 0 count = 0
k = 1 k = 1
while k * k < n: while k * k < n:
@ -21,8 +21,9 @@ def presents(n: int, elf: int, max: int = target) -> int:
return count return count
answer_1 = next(n for n in itertools.count(1) if presents(n, 10) >= target) class Solver(BaseSolver):
print(f"answer 1 is {answer_1}") def solve(self, input: str) -> Iterator[Any]:
target = int(input)
answer_2 = next(n for n in itertools.count(1) if presents(n, 11, 50) >= target) yield next(n for n in itertools.count(1) if presents(n, 10, target) >= target)
print(f"answer 2 is {answer_2}") yield next(n for n in itertools.count(1) if presents(n, 11, 50) >= target)

View File

@ -1,7 +1,8 @@
import itertools import itertools
import sys
from math import ceil from math import ceil
from typing import TypeAlias from typing import Any, Iterator, TypeAlias
from ..base import BaseSolver
Modifier: TypeAlias = tuple[str, int, int, int] Modifier: TypeAlias = tuple[str, int, int, int]
@ -33,7 +34,9 @@ RINGS: list[Modifier] = [
] ]
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
player_hp = 100 player_hp = 100
@ -41,7 +44,6 @@ boss_attack = int(lines[1].split(":")[1].strip())
boss_armor = int(lines[2].split(":")[1].strip()) boss_armor = int(lines[2].split(":")[1].strip())
boss_hp = int(lines[0].split(":")[1].strip()) boss_hp = int(lines[0].split(":")[1].strip())
min_cost, max_cost = 1_000_000, 0 min_cost, max_cost = 1_000_000, 0
for equipments in itertools.product(WEAPONS, ARMORS, RINGS, RINGS): for equipments in itertools.product(WEAPONS, ARMORS, RINGS, RINGS):
if equipments[-1][0] != "" and equipments[-2] == equipments[-1]: if equipments[-1][0] != "" and equipments[-2] == equipments[-1]:
@ -58,9 +60,5 @@ for equipments in itertools.product(WEAPONS, ARMORS, RINGS, RINGS):
else: else:
max_cost = max(cost, max_cost) max_cost = max(cost, max_cost)
yield min_cost
answer_1 = min_cost yield max_cost
print(f"answer 1 is {answer_1}")
answer_2 = max_cost
print(f"answer 2 is {answer_2}")

View File

@ -1,8 +1,9 @@
from __future__ import annotations from __future__ import annotations
import heapq import heapq
import sys from typing import Any, Iterator, Literal, TypeAlias, cast
from typing import Literal, TypeAlias, cast
from ..base import BaseSolver
PlayerType: TypeAlias = Literal["player", "boss"] PlayerType: TypeAlias = Literal["player", "boss"]
SpellType: TypeAlias = Literal["magic missile", "drain", "shield", "poison", "recharge"] SpellType: TypeAlias = Literal["magic missile", "drain", "shield", "poison", "recharge"]
@ -62,17 +63,6 @@ def play(
continue continue
visited.add((player, player_hp, player_mana, player_armor, boss_hp, buffs)) visited.add((player, player_hp, player_mana, player_armor, boss_hp, buffs))
if hard_mode and player == "player":
player_hp = max(0, player_hp - 1)
if player_hp == 0:
continue
if boss_hp == 0:
winning_node = spells
continue
new_buffs: list[tuple[BuffType, int]] = [] new_buffs: list[tuple[BuffType, int]] = []
for buff, length in buffs: for buff, length in buffs:
length = length - 1 length = length - 1
@ -88,6 +78,16 @@ def play(
if length > 0: if length > 0:
new_buffs.append((buff, length)) new_buffs.append((buff, length))
if hard_mode and player == "player":
player_hp = player_hp - 1
if player_hp <= 0:
continue
if boss_hp <= 0:
winning_node = spells
continue
buffs = tuple(new_buffs) buffs = tuple(new_buffs)
if player == "boss": if player == "boss":
@ -155,7 +155,9 @@ def play(
return winning_node return winning_node
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
player_hp = 50 player_hp = 50
player_mana = 500 player_mana = 500
@ -164,14 +166,16 @@ player_armor = 0
boss_hp = int(lines[0].split(":")[1].strip()) boss_hp = int(lines[0].split(":")[1].strip())
boss_attack = int(lines[1].split(":")[1].strip()) boss_attack = int(lines[1].split(":")[1].strip())
answer_1 = sum( yield sum(
c c
for _, c in play(player_hp, player_mana, player_armor, boss_hp, boss_attack, False) for _, c in play(
player_hp, player_mana, player_armor, boss_hp, boss_attack, False
)
) )
print(f"answer 1 is {answer_1}")
# 1242 (not working) yield sum(
answer_2 = sum( c
c for _, c in play(player_hp, player_mana, player_armor, boss_hp, boss_attack, True) for _, c in play(
player_hp, player_mana, player_armor, boss_hp, boss_attack, True
)
) )
print(f"answer 2 is {answer_2}")

View File

@ -0,0 +1,107 @@
import inspect
from typing import Any, Callable, Final, Iterator, Mapping
from ..base import BaseSolver
class Instruction:
def __init__(self, fn: Callable[..., None]):
self._fn = fn
args = inspect.getfullargspec(fn)
self._argtypes = [args.annotations[arg] for arg in args.args[1:]]
def __call__(self, args: tuple[str, ...]):
self._fn(
*(argtype(arg) for arg, argtype in zip(args, self._argtypes, strict=True))
)
class Machine:
def __init__(
self, instructions: list[str], registers: dict[str, int] = {"a": 0, "b": 1}
):
self.instructions: Final = [
(part[0], tuple(arg.strip() for arg in " ".join(part[1:]).split(",")))
for instruction in instructions
if (part := instruction.split())
]
self._fns = {
name: Instruction(getattr(self, name))
for name in ("hlf", "tpl", "inc", "jmp", "jie", "jio")
}
self._registers = registers.copy()
self._ip = 0
@property
def registers(self) -> Mapping[str, int]:
return self._registers
@property
def ip(self) -> int:
return self._ip
def reset(self, registers: dict[str, int] = {"a": 0, "b": 0}):
self._registers = registers.copy()
self._ip = 0
def hlf(self, register: str):
self._registers[register] //= 2
self._ip += 1
def tpl(self, register: str):
self._registers[register] *= 3
self._ip += 1
def inc(self, register: str):
self._registers[register] += 1
self._ip += 1
def jmp(self, offset: int):
self._ip += offset
assert 0 <= self._ip < len(self.instructions)
def jie(self, register: str, offset: int):
if self._registers[register] % 2 == 0:
self._ip += offset
else:
self._ip += 1
def jio(self, register: str, offset: int):
if self._registers[register] == 1:
self._ip += offset
else:
self._ip += 1
def _exec(self) -> bool:
# execute next instruction
if self._ip >= len(self.instructions):
return False
ins, args = self.instructions[self._ip]
if ins not in self._fns:
return False
self._fns[ins](args)
return True
def run(self):
while self._exec():
...
return self.registers
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
machine = Machine(input.splitlines())
registers = machine.run()
yield registers["b"]
machine.reset({"a": 1, "b": 0})
registers = machine.run()
yield registers["b"]

View File

@ -0,0 +1,88 @@
from typing import Any, Iterator, TypeAlias
from ..base import BaseSolver
TupleOfInts: TypeAlias = tuple[int, ...]
def check_n_groups(
target: int, groups: tuple[TupleOfInts, ...], numbers: TupleOfInts
) -> bool:
n_groups = len(groups)
groups_s = tuple(sum(group) for group in groups)
if all(target == group_s for group_s in groups_s):
return not numbers
if not numbers:
return False
head, *tail_l = numbers
tail, tail_s = tuple(tail_l), sum(tail_l)
return any(
groups_s[i] + head <= target
and sum(groups_s[j] for j in range(len(groups)) if i != j) + tail_s
>= (n_groups - 1) * target
and check_n_groups(
target, groups[:i] + ((groups[i] + (head,)),) + groups[i + 1 :], tail
)
for i in range(len(groups))
)
def enumerate_single_subset(
target: int, numbers: TupleOfInts
) -> Iterator[tuple[int, TupleOfInts, TupleOfInts]]:
"""
Enumerate subset of numbers whose sum equals target.
Subset are enumerated in increasing order of length, then product (quantum value).
Args:
target: Target for the sum of the subset.
numbers: Tuple of integers to find the subset from.
Returns:
A generator (quantum, subset, remaining) where subset if the subset of numbers
whose sum equals target, quantum the product of the subset, and remaining the
remaining numbers.
"""
groups: list[tuple[int, TupleOfInts, TupleOfInts]] = [(1, (), numbers)]
for _ in range(len(numbers)):
new_groups: list[tuple[int, TupleOfInts, TupleOfInts]] = []
for g_quantum, group, remaining in groups:
sg = sum(group)
for i in range(len(remaining)):
if group and remaining[i] <= group[-1]:
continue
uv = remaining[:i] + remaining[i + 1 :]
kv = g_quantum * remaining[i], group + (remaining[i],), uv
if sg + remaining[i] == target:
yield kv
elif sg + remaining[i] < target:
new_groups.append(kv)
groups = new_groups
def find_min_quantum(numbers: tuple[int, ...], n_groups: int):
return next(
g_quantum
for g_quantum, group_1v2, group_234v2 in enumerate_single_subset(
sum(numbers) // n_groups, numbers
)
if check_n_groups(sum(group_1v2), ((),) * (n_groups - 1), group_234v2)
)
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
numbers = tuple(map(int, input.split()))
yield find_min_quantum(numbers, 3)
yield find_min_quantum(numbers, 4)

View File

@ -0,0 +1,16 @@
import re
from typing import Any, Iterator
from ..base import BaseSolver
from ..tools.math import pow_mod
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
m = re.search(r"row\s*([0-9]+)\s*,\s*column\s*([0-9]+)", input)
assert m is not None
row, col = int(m.group(1)), int(m.group(2))
n = (row * (row - 1)) // 2 + col * (col + 1) // 2 + (row - 1) * (col - 1)
yield (20151125 * pow_mod(252533, n - 1, 33554393)) % 33554393

View File

@ -1,7 +1,7 @@
import sys
from collections import defaultdict from collections import defaultdict
from typing import Any, Iterator
line = sys.stdin.read().strip() from ..base import BaseSolver
def process(directions: str) -> dict[tuple[int, int], int]: def process(directions: str) -> dict[tuple[int, int], int]:
@ -27,8 +27,7 @@ def process(directions: str) -> dict[tuple[int, int], int]:
return counts return counts
answer_1 = len(process(line)) class Solver(BaseSolver):
print(f"answer 1 is {answer_1}") def solve(self, input: str) -> Iterator[Any]:
yield len(process(input))
answer_2 = len(process(line[::2]) | process(line[1::2])) yield len(process(input[::2]) | process(input[1::2]))
print(f"answer 2 is {answer_2}")

View File

@ -1,16 +1,20 @@
import hashlib import hashlib
import itertools import itertools
import sys from typing import Any, Iterator
line = sys.stdin.read().strip() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
it = iter(itertools.count(1)) it = iter(itertools.count(1))
answer_1 = next( yield next(
i for i in it if hashlib.md5(f"{line}{i}".encode()).hexdigest().startswith("00000") i
for i in it
if hashlib.md5(f"{input}{i}".encode()).hexdigest().startswith("00000")
) )
print(f"answer 1 is {answer_1}") yield next(
i
answer_2 = next( for i in it
i for i in it if hashlib.md5(f"{line}{i}".encode()).hexdigest().startswith("000000") if hashlib.md5(f"{input}{i}".encode()).hexdigest().startswith("000000")
) )
print(f"answer 2 is {answer_2}")

View File

@ -1,4 +1,6 @@
import sys from typing import Any, Iterator
from ..base import BaseSolver
VOWELS = "aeiou" VOWELS = "aeiou"
FORBIDDEN = {"ab", "cd", "pq", "xy"} FORBIDDEN = {"ab", "cd", "pq", "xy"}
@ -27,10 +29,8 @@ def is_nice_2(s: str) -> bool:
return True return True
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
answer_1 = sum(map(is_nice_1, lines)) lines = input.splitlines()
print(f"answer 1 is {answer_1}") yield sum(map(is_nice_1, lines))
yield sum(map(is_nice_2, lines))
answer_2 = sum(map(is_nice_2, lines))
print(f"answer 2 is {answer_2}")

View File

@ -1,14 +1,16 @@
import sys from typing import Any, Iterator, Literal, cast
from typing import Literal, cast
import numpy as np import numpy as np
import parse # type: ignore import parse # type: ignore
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lights_1 = np.zeros((1000, 1000), dtype=bool) lights_1 = np.zeros((1000, 1000), dtype=bool)
lights_2 = np.zeros((1000, 1000), dtype=int) lights_2 = np.zeros((1000, 1000), dtype=int)
for line in lines: for line in input.splitlines():
action, sx, sy, ex, ey = cast( action, sx, sy, ex, ey = cast(
tuple[Literal["turn on", "turn off", "toggle"], int, int, int, int], tuple[Literal["turn on", "turn off", "toggle"], int, int, int, int],
parse.parse("{} {:d},{:d} through {:d},{:d}", line), # type: ignore parse.parse("{} {:d},{:d} through {:d},{:d}", line), # type: ignore
@ -26,8 +28,5 @@ for line in lines:
lights_1[sx:ex, sy:ey] = ~lights_1[sx:ex, sy:ey] lights_1[sx:ex, sy:ey] = ~lights_1[sx:ex, sy:ey]
lights_2[sx:ex, sy:ey] += 2 lights_2[sx:ex, sy:ey] += 2
answer_1 = lights_1.sum() yield lights_1.sum()
print(f"answer 1 is {answer_1}") yield lights_2.sum()
answer_2 = lights_2.sum()
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import logging
import operator import operator
import os from typing import Any, Callable, Iterator
import sys
from typing import Callable
VERBOSE = os.getenv("AOC_VERBOSE") == "True" from ..base import BaseSolver
logging.basicConfig(level=logging.INFO if VERBOSE else logging.WARNING)
OPERATORS = { OPERATORS = {
"AND": operator.and_, "AND": operator.and_,
@ -36,7 +32,22 @@ def value_of(key: str) -> tuple[str, Callable[[dict[str, int]], int]]:
return key, lambda values: values[key] return key, lambda values: values[key]
lines = sys.stdin.read().splitlines() def process(
signals: Signals,
values: dict[str, int],
) -> dict[str, int]:
while signals:
signal = next(s for s in signals if all(p in values for p in signals[s][0]))
_, deps, command = signals[signal]
values[signal] = command(deps[0](values), deps[1](values)) % 65536
del signals[signal]
return values
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any] | None:
lines = input.splitlines()
signals: Signals = {} signals: Signals = {}
values: dict[str, int] = {"": 0} values: dict[str, int] = {"": 0}
@ -77,25 +88,9 @@ for line in lines:
signals[signal] = ((lhs_s, rhs_s), (lhs_fn, rhs_fn), op) signals[signal] = ((lhs_s, rhs_s), (lhs_fn, rhs_fn), op)
def process(
signals: Signals,
values: dict[str, int],
) -> dict[str, int]:
while signals:
signal = next(s for s in signals if all(p in values for p in signals[s][0]))
_, deps, command = signals[signal]
values[signal] = command(deps[0](values), deps[1](values)) % 65536
del signals[signal]
return values
values_1 = process(signals.copy(), values.copy()) values_1 = process(signals.copy(), values.copy())
logging.info("\n" + "\n".join(f"{k}: {values_1[k]}" for k in sorted(values_1))) for k in sorted(values_1):
answer_1 = values_1["a"] self.logger.info(f"{k}: {values_1[k]}")
print(f"answer 1 is {answer_1}") yield values_1["a"]
values_2 = process(signals.copy(), values | {"b": values_1["a"]}) yield process(signals.copy(), values | {"b": values_1["a"]})["a"]
answer_2 = values_2["a"]
print(f"answer 2 is {answer_2}")

View File

@ -1,14 +1,13 @@
import logging from typing import Any, Iterator
import os
import sys
VERBOSE = os.getenv("AOC_VERBOSE") == "True" from ..base import BaseSolver
logging.basicConfig(level=logging.INFO if VERBOSE else logging.WARNING)
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
answer_1 = sum( yield sum(
# left and right quotes (not in memory) # left and right quotes (not in memory)
2 2
# each \\ adds one character in the literals (compared to memory) # each \\ adds one character in the literals (compared to memory)
@ -21,9 +20,8 @@ answer_1 = sum(
+ 3 * (line.count(R"\x") - line.count(R"\\x") + line.count(R"\\\x")) + 3 * (line.count(R"\x") - line.count(R"\\x") + line.count(R"\\\x"))
for line in lines for line in lines
) )
print(f"answer 1 is {answer_1}")
answer_2 = sum( yield sum(
# needs to wrap in quotes (2 characters) # needs to wrap in quotes (2 characters)
2 2
# needs to escape every \ with an extra \ # needs to escape every \ with an extra \
@ -32,4 +30,3 @@ answer_2 = sum(
+ line.count('"') + line.count('"')
for line in lines for line in lines
) )
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,15 @@
import itertools import itertools
import sys
from collections import defaultdict from collections import defaultdict
from typing import cast from typing import Any, Iterator, cast
import parse # type: ignore import parse # type: ignore
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
distances: dict[str, dict[str, int]] = defaultdict(dict) distances: dict[str, dict[str, int]] = defaultdict(dict)
for line in lines: for line in lines:
@ -20,8 +24,5 @@ distance_of_routes = {
for route in map(tuple, itertools.permutations(distances)) for route in map(tuple, itertools.permutations(distances))
} }
answer_1 = min(distance_of_routes.values()) yield min(distance_of_routes.values())
print(f"answer 1 is {answer_1}") yield max(distance_of_routes.values())
answer_2 = max(distance_of_routes.values())
print(f"answer 2 is {answer_2}")

View File

@ -1,14 +1,17 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
values = [int(line) for line in lines] values = [int(line) for line in lines]
# part 1 # part 1
answer_1 = sum(v2 > v1 for v1, v2 in zip(values[:-1], values[1:])) yield sum(v2 > v1 for v1, v2 in zip(values[:-1], values[1:]))
print(f"answer 1 is {answer_1}")
# part 2 # part 2
runnings = [sum(values[i : i + 3]) for i in range(len(values) - 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:])) yield sum(v2 > v1 for v1, v2 in zip(runnings[:-1], runnings[1:]))
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,47 @@
import sys from functools import reduce
from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1 BRACKETS = {"{": "}", "[": "]", "<": ">", "(": ")"}
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 CORRUPT_SCORES = {")": 3, "]": 57, "}": 1197, ">": 25137}
answer_2 = ... COMPLETE_SCORES = {")": 1, "]": 2, "}": 3, ">": 4}
print(f"answer 2 is {answer_2}")
def corrupted_or_incomplete(line: str) -> tuple[bool, str]:
opens: list[str] = []
for c in line:
if c in BRACKETS:
opens.append(c)
elif BRACKETS[opens[-1]] != c:
return True, c
else:
opens.pop()
return (False, "".join(opens))
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
answer_1: int = 0
incomplete_scores: list[int] = []
for line in lines:
c, r = corrupted_or_incomplete(line)
if c:
answer_1 += CORRUPT_SCORES[r]
else:
incomplete_scores.append(
reduce(
lambda s, c: s * 5 + COMPLETE_SCORES[BRACKETS[c]],
reversed(r),
0,
),
)
yield answer_1
yield sorted(incomplete_scores)[len(incomplete_scores) // 2]

View File

@ -1,11 +1,66 @@
import sys import itertools as it
from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 def do_step(values: list[list[int]]) -> tuple[list[list[int]], set[tuple[int, int]]]:
answer_2 = ... values = [[c + 1 for c in r] for r in values]
print(f"answer 2 is {answer_2}") flashed: set[tuple[int, int]] = set()
while True:
found = False
for i_row, row in enumerate(values):
for i_col, col in enumerate(row):
if col <= 9 or (i_row, i_col) in flashed:
continue
found = True
flashed.add((i_row, i_col))
for dr, dc in it.product((-1, 0, 1), repeat=2):
if 0 <= i_row + dr < len(values) and 0 <= i_col + dc < len(
values[0]
):
values[i_row + dr][i_col + dc] += 1
if not found:
break
for i, j in flashed:
values[i][j] = 0
return values, flashed
class Solver(BaseSolver):
def print_grid(self, values: list[list[int]], flashed: set[tuple[int, int]]):
for i_row, row in enumerate(values):
s_row = ""
for i_col, col in enumerate(row):
if (i_row, i_col) in flashed:
s_row += f"\033[0;31m{col}\033[0;00m"
else:
s_row += str(col)
self.logger.info(s_row)
self.logger.info("")
def solve(self, input: str) -> Iterator[Any]:
values_0 = [[int(c) for c in r] for r in input.splitlines()]
values = values_0
total_flashed: int = 0
for _ in range(100):
values, flashed = do_step(values)
total_flashed += len(flashed)
yield total_flashed
n_cells = len(values) * len(values[0])
flashed: set[tuple[int, int]] = set()
values, step = values_0, 0
while len(flashed) != n_cells:
values, flashed = do_step(values)
step += 1
yield step

View File

@ -1,11 +1,64 @@
import sys import string
from collections import defaultdict
from functools import cache
from typing import Any, Iterator, Mapping, Sequence
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 @cache
answer_2 = ... def is_small(node: str):
print(f"answer 2 is {answer_2}") return all(c in string.ascii_lowercase for c in node)
def enumerate_paths(
neighbors: Mapping[str, Sequence[str]],
duplicate_smalls: int = 0,
start: str = "start",
current: tuple[str, ...] = ("start",),
) -> Iterator[tuple[str, ...]]:
if start == "end":
yield current
for neighbor in neighbors[start]:
if not is_small(neighbor):
yield from enumerate_paths(
neighbors, duplicate_smalls, neighbor, current + (neighbor,)
)
elif neighbor not in current:
yield from enumerate_paths(
neighbors, duplicate_smalls, neighbor, current + (neighbor,)
)
elif duplicate_smalls > 0:
yield from enumerate_paths(
neighbors, duplicate_smalls - 1, neighbor, current + (neighbor,)
)
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
neighbors: dict[str, list[str]] = defaultdict(list)
for row in input.splitlines():
a, b = row.split("-")
if a != "end" and b != "start":
neighbors[a].append(b)
if b != "end" and a != "start":
neighbors[b].append(a)
if self.files:
graph = "graph {\n"
for node, neighbors_of in neighbors.items():
graph += (
" ".join(
f"{node} -- {neighbor};"
for neighbor in neighbors_of
if node <= neighbor or node == "start" or neighbor == "end"
)
+ "\n"
)
graph += "}\n"
self.files.create("graph.dot", graph.encode(), False)
yield len(list(enumerate_paths(neighbors)))
yield len(list(enumerate_paths(neighbors, 1)))

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,16 +1,19 @@
import sys
from math import prod from math import prod
from typing import Literal, TypeAlias, cast from typing import Any, Iterator, Literal, TypeAlias, cast
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
Command: TypeAlias = Literal["forward", "up", "down"] Command: TypeAlias = Literal["forward", "up", "down"]
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
commands: list[tuple[Command, int]] = [ commands: list[tuple[Command, int]] = [
(cast(Command, (p := line.split())[0]), int(p[1])) for line in lines (cast(Command, (p := line.split())[0]), int(p[1])) for line in lines
] ]
def depth_and_position(use_aim: bool): def depth_and_position(use_aim: bool):
aim, pos, depth = 0, 0, 0 aim, pos, depth = 0, 0, 0
for command, value in commands: for command, value in commands:
@ -31,11 +34,5 @@ def depth_and_position(use_aim: bool):
return depth, pos return depth, pos
yield prod(depth_and_position(False))
# part 1 yield prod(depth_and_position(True))
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}")

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
# part 1
answer_1 = ...
print(f"answer 1 is {answer_1}")
# part 2 class Solver(BaseSolver):
answer_2 = ... def solve(self, input: str) -> Iterator[Any]: ...
print(f"answer 2 is {answer_2}")

View File

@ -1,6 +1,7 @@
import sys
from collections import Counter from collections import Counter
from typing import Literal from typing import Any, Iterator, Literal
from ..base import BaseSolver
def generator_rating( def generator_rating(
@ -20,20 +21,23 @@ def generator_rating(
return values[0] return values[0]
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
# part 1 # part 1
most_and_least_common = [ most_and_least_common = [
tuple(Counter(line[col] for line in lines).most_common(2)[m][0] for m in range(2)) 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])) for col in range(len(lines[0]))
] ]
gamma_rate = int("".join(most for most, _ in most_and_least_common), base=2) 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) epsilon_rate = int("".join(least for _, least in most_and_least_common), base=2)
print(f"answer 1 is {gamma_rate * epsilon_rate}") yield gamma_rate * epsilon_rate
# part 2 # part 2
oxygen_generator_rating = int(generator_rating(lines, True, "1"), base=2) oxygen_generator_rating = int(generator_rating(lines, True, "1"), base=2)
co2_scrubber_rating = int(generator_rating(lines, False, "0"), base=2) co2_scrubber_rating = int(generator_rating(lines, False, "0"), base=2)
answer_2 = oxygen_generator_rating * co2_scrubber_rating yield oxygen_generator_rating * co2_scrubber_rating
print(f"answer 2 is {answer_2}")

View File

@ -1,8 +1,13 @@
import sys from typing import Any, Iterator
import numpy as np import numpy as np
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
numbers = [int(c) for c in lines[0].split(",")] numbers = [int(c) for c in lines[0].split(",")]
@ -26,7 +31,9 @@ for round, number in enumerate(numbers):
if winning_rounds[index][0] > 0: if winning_rounds[index][0] > 0:
continue continue
if np.any(np.all(marked[index], axis=0) | np.all(marked[index], axis=1)): if np.any(
np.all(marked[index], axis=0) | np.all(marked[index], axis=1)
):
winning_rounds[index] = ( winning_rounds[index] = (
round, round,
number * int(np.sum(boards[index][~marked[index]])), number * int(np.sum(boards[index][~marked[index]])),
@ -38,8 +45,8 @@ for round, number in enumerate(numbers):
# part 1 # part 1
(_, score) = min(winning_rounds, key=lambda w: w[0]) (_, score) = min(winning_rounds, key=lambda w: w[0])
print(f"answer 1 is {score}") yield score
# part 2 # part 2
(_, score) = max(winning_rounds, key=lambda w: w[0]) (_, score) = max(winning_rounds, key=lambda w: w[0])
print(f"answer 2 is {score}") yield score

View File

@ -1,8 +1,13 @@
import sys from typing import Any, Iterator
import numpy as np import numpy as np
lines: list[str] = sys.stdin.read().splitlines() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
sections: list[tuple[tuple[int, int], tuple[int, int]]] = [ sections: list[tuple[tuple[int, int], tuple[int, int]]] = [
( (
@ -20,10 +25,8 @@ sections: list[tuple[tuple[int, int], tuple[int, int]]] = [
np_sections = np.array(sections).reshape(-1, 4) np_sections = np.array(sections).reshape(-1, 4)
x_min, x_max, y_min, y_max = ( x_max, y_max = (
min(np_sections[:, 0].min(), np_sections[:, 2].min()),
max(np_sections[:, 0].max(), np_sections[:, 2].max()), 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()), max(np_sections[:, 1].max(), np_sections[:, 3].max()),
) )
@ -41,8 +44,5 @@ for (x1, y1), (x2, y2) in sections:
for i, j in zip(y_rng, x_rng): for i, j in zip(y_rng, x_rng):
counts_2[i, j] += 1 counts_2[i, j] += 1
answer_1 = (counts_1 >= 2).sum() yield (counts_1 >= 2).sum()
print(f"answer 1 is {answer_1}") yield (counts_2 >= 2).sum()
answer_2 = (counts_2 >= 2).sum()
print(f"answer 2 is {answer_2}")

View File

@ -1,6 +1,11 @@
import sys from typing import Any, Iterator
values = [int(c) for c in sys.stdin.read().strip().split(",")] from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
values = [int(c) for c in input.split(",")]
days = 256 days = 256
lanterns = {day: 0 for day in range(days)} lanterns = {day: 0 for day in range(days)}
@ -12,10 +17,5 @@ for day in range(days):
for day2 in range(day + 9, days, 7): for day2 in range(day + 9, days, 7):
lanterns[day2] += lanterns[day] lanterns[day2] += lanterns[day]
# part 1 yield sum(v for k, v in lanterns.items() if k < 80) + len(values)
answer_1 = sum(v for k, v in lanterns.items() if k < 80) + len(values) yield sum(lanterns.values()) + 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}")

View File

@ -1,19 +1,22 @@
import sys from typing import Any, Iterator
positions = [int(c) for c in sys.stdin.read().strip().split(",")] from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
positions = [int(c) for c in input.split(",")]
min_position, max_position = min(positions), max(positions) min_position, max_position = min(positions), max(positions)
# part 1 # part 1
answer_1 = min( yield min(
sum(abs(p - position) for p in positions) sum(abs(p - position) for p in positions)
for position in range(min_position, max_position + 1) for position in range(min_position, max_position + 1)
) )
print(f"answer 1 is {answer_1}")
# part 2 # part 2
answer_2 = min( yield min(
sum(abs(p - position) * (abs(p - position) + 1) // 2 for p in positions) sum(abs(p - position) * (abs(p - position) + 1) // 2 for p in positions)
for position in range(min_position, max_position + 1) for position in range(min_position, max_position + 1)
) )
print(f"answer 2 is {answer_2}")

View File

@ -1,8 +1,7 @@
import itertools import itertools
import os from typing import Any, Iterator
import sys
VERBOSE = os.getenv("AOC_VERBOSE") == "True" from ..base import BaseSolver
digits = { digits = {
"abcefg": 0, "abcefg": 0,
@ -17,14 +16,18 @@ digits = {
"abcdfg": 9, "abcdfg": 9,
} }
lines = sys.stdin.read().splitlines()
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
# part 1 # part 1
lengths = {len(k) for k, v in digits.items() if v in (1, 4, 7, 8)} lengths = {len(k) for k, v in digits.items() if v in (1, 4, 7, 8)}
answer_1 = sum( yield sum(
len(p) in lengths for line in lines for p in line.split("|")[1].strip().split() 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 # part 2
values: list[int] = [] values: list[int] = []
@ -49,7 +52,9 @@ for line in lines:
bd = [u for u in per_length[4][0] if u not in 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 # 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:])] 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 # we can remove a
dg = [u for u in adg if u != a] dg = [u for u in adg if u != a]
@ -77,11 +82,8 @@ for line in lines:
digit = "".join(sorted(mapping[c] for c in number)) digit = "".join(sorted(mapping[c] for c in number))
value = 10 * value + digits[digit] value = 10 * value + digits[digit]
if VERBOSE: self.logger.info(f"value for '{line}' is {value}")
print(value)
values.append(value) values.append(value)
yield sum(values)
answer_2 = sum(values)
print(f"answer 2 is {answer_2}")

View File

@ -1,18 +1,18 @@
import sys
from math import prod from math import prod
from typing import Any, Iterator
values = [[int(c) for c in row] for row in sys.stdin.read().splitlines()] from ..base import BaseSolver
n_rows, n_cols = len(values), len(values[0])
def neighbors(point: tuple[int, int]): def neighbors(point: tuple[int, int], n_rows: int, n_cols: int):
i, j = point i, j = point
for di, dj in ((-1, 0), (+1, 0), (0, -1), (0, +1)): for di, dj in ((-1, 0), (+1, 0), (0, -1), (0, +1)):
if 0 <= i + di < n_rows and 0 <= j + dj < n_cols: if 0 <= i + di < n_rows and 0 <= j + dj < n_cols:
yield (i + di, j + dj) yield (i + di, j + dj)
def basin(start: tuple[int, int]) -> set[tuple[int, int]]: def basin(values: list[list[int]], start: tuple[int, int]) -> set[tuple[int, int]]:
n_rows, n_cols = len(values), len(values[0])
visited: set[tuple[int, int]] = set() visited: set[tuple[int, int]] = set()
queue = [start] queue = [start]
@ -23,22 +23,25 @@ def basin(start: tuple[int, int]) -> set[tuple[int, int]]:
continue continue
visited.add((i, j)) visited.add((i, j))
queue.extend(neighbors((i, j))) queue.extend(neighbors((i, j), n_rows, n_cols))
return visited return visited
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
values = [[int(c) for c in row] for row in input.splitlines()]
n_rows, n_cols = len(values), len(values[0])
low_points = [ low_points = [
(i, j) (i, j)
for i in range(n_rows) for i in range(n_rows)
for j in range(n_cols) for j in range(n_cols)
if all(values[ti][tj] > values[i][j] for ti, tj in neighbors((i, j))) if all(
values[ti][tj] > values[i][j]
for ti, tj in neighbors((i, j), n_rows, n_cols)
)
] ]
# part 1 yield sum(values[i][j] + 1 for i, j in low_points)
answer_1 = sum(values[i][j] + 1 for i, j in low_points) yield prod(sorted(len(basin(values, point)) for point in low_points)[-3:])
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = prod(sorted(len(basin(point)) for point in low_points)[-3:])
print(f"answer 2 is {answer_2}")

View File

@ -1,7 +1,12 @@
import sys from typing import Any, Iterator
blocks = sys.stdin.read().split("\n\n") from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
blocks = input.split("\n\n")
values = sorted(sum(map(int, block.split())) for block in blocks) values = sorted(sum(map(int, block.split())) for block in blocks)
print(f"answer 1 is {values[-1]}") yield values[-1]
print(f"answer 2 is {sum(values[-3:])}") yield sum(values[-3:])

View File

@ -1,10 +1,13 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
cycle = 1
x = 1
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = [line.strip() for line in input.splitlines()]
cycle, x = 1, 1
values = {cycle: x} values = {cycle: x}
for line in lines: for line in lines:
@ -23,16 +26,18 @@ for line in lines:
values[cycle] = x values[cycle] = x
answer_1 = sum(c * values[c] for c in range(20, max(values.keys()) + 1, 40)) answer_1 = sum(c * values[c] for c in range(20, max(values.keys()) + 1, 40))
print(f"answer 1 is {answer_1}") yield answer_1
yield (
for i in range(6): "\n"
for j in range(40): + "\n".join(
v = values[1 + i * 40 + j] "".join(
"#"
if j >= v - 1 and j <= v + 1: if j >= (v := values[1 + i * 40 + j]) - 1 and j <= v + 1
print("#", end="") else "."
else: for j in range(40)
print(".", end="") )
for i in range(6)
print() )
+ "\n"
)

View File

@ -1,7 +1,8 @@
import copy import copy
import sys
from functools import reduce from functools import reduce
from typing import Callable, Final, Mapping, Sequence from typing import Any, Callable, Final, Iterator, Mapping, Sequence
from ..base import BaseSolver
class Monkey: class Monkey:
@ -119,13 +120,14 @@ def monkey_business(inspects: dict[Monkey, int]) -> int:
return sorted_levels[-2] * sorted_levels[-1] return sorted_levels[-2] * sorted_levels[-1]
monkeys = [parse_monkey(block.splitlines()) for block in sys.stdin.read().split("\n\n")] class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
monkeys = [parse_monkey(block.splitlines()) for block in input.split("\n\n")]
# case 1: we simply divide the worry by 3 after applying the monkey worry operation # case 1: we simply divide the worry by 3 after applying the monkey worry operation
answer_1 = monkey_business( yield monkey_business(
run(copy.deepcopy(monkeys), 20, me_worry_fn=lambda w: w // 3) run(copy.deepcopy(monkeys), 20, me_worry_fn=lambda w: w // 3)
) )
print(f"answer 1 is {answer_1}")
# case 2: to keep reasonable level values, we can use a modulo operation, we need to # case 2: to keep reasonable level values, we can use a modulo operation, we need to
# use the product of all "divisible by" test so that the test remains valid # use the product of all "divisible by" test so that the test remains valid
@ -136,7 +138,10 @@ print(f"answer 1 is {answer_1}")
# we use the product of all test value # we use the product of all test value
# #
total_test_value = reduce(lambda w, m: w * m.test_value, monkeys, 1) total_test_value = reduce(lambda w, m: w * m.test_value, monkeys, 1)
answer_2 = monkey_business( yield monkey_business(
run(copy.deepcopy(monkeys), 10_000, me_worry_fn=lambda w: w % total_test_value) run(
copy.deepcopy(monkeys),
10_000,
me_worry_fn=lambda w: w % total_test_value,
)
) )
print(f"answer 2 is {answer_2}")

View File

@ -1,6 +1,7 @@
import heapq import heapq
import sys from typing import Any, Callable, Iterator, TypeVar
from typing import Callable, Iterator, TypeVar
from ..base import BaseSolver
Node = TypeVar("Node") Node = TypeVar("Node")
@ -68,30 +69,6 @@ def make_path(parents: dict[Node, Node], start: Node, end: Node) -> list[Node] |
return list(reversed(path)) 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( def neighbors(
grid: list[list[int]], node: tuple[int, int], up: bool grid: list[list[int]], node: tuple[int, int], up: bool
) -> Iterator[tuple[int, int]]: ) -> Iterator[tuple[int, int]]:
@ -118,7 +95,42 @@ def neighbors(
# === main code === # === main code ===
lines = sys.stdin.read().splitlines()
class Solver(BaseSolver):
def print_path(
self, name: str, path: list[tuple[int, int]], n_rows: int, n_cols: int
) -> None:
if not self.files:
return
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])
self.files.create(
f"graph_{name}.txt",
"\n".join("".join(row) for row in graph).encode(),
text=True,
)
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
grid = [[ord(cell) - ord("a") for cell in line] for line in lines] grid = [[ord(cell) - ord("a") for cell in line] for line in lines]
@ -145,19 +157,20 @@ assert end is not None
grid[start[0]][start[1]] = 0 grid[start[0]][start[1]] = 0
grid[end[0]][end[1]] = ord("z") - ord("a") grid[end[0]][end[1]] = ord("z") - ord("a")
lengths_1, parents_1 = dijkstra( lengths_1, parents_1 = dijkstra(
start=start, neighbors=lambda n: neighbors(grid, n, True), cost=lambda lhs, rhs: 1 start=start,
neighbors=lambda n: neighbors(grid, n, True),
cost=lambda lhs, rhs: 1,
) )
path_1 = make_path(parents_1, start, end) path_1 = make_path(parents_1, start, end)
assert path_1 is not None assert path_1 is not None
print_path(path_1, n_rows=len(grid), n_cols=len(grid[0])) self.print_path("answer1", path_1, n_rows=len(grid), n_cols=len(grid[0]))
yield lengths_1[end] - 1
print(f"answer 1 is {lengths_1[end] - 1}") lengths_2, _ = dijkstra(
start=end,
lengths_2, parents_2 = dijkstra( neighbors=lambda n: neighbors(grid, n, False),
start=end, neighbors=lambda n: neighbors(grid, n, False), cost=lambda lhs, rhs: 1 cost=lambda lhs, rhs: 1,
) )
answer_2 = min(lengths_2.get(start, float("inf")) for start in start_s) yield min(lengths_2.get(start, float("inf")) for start in start_s)
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,8 @@
import json import json
import sys
from functools import cmp_to_key from functools import cmp_to_key
from typing import TypeAlias, cast from typing import Any, Iterator, TypeAlias, cast
blocks = sys.stdin.read().strip().split("\n\n") from ..base import BaseSolver
pairs = [tuple(json.loads(p) for p in block.split("\n")) for block in blocks]
Packet: TypeAlias = list[int | list["Packet"]] Packet: TypeAlias = list[int | list["Packet"]]
@ -28,8 +25,12 @@ def compare(lhs: Packet, rhs: Packet) -> int:
return len(rhs) - len(lhs) return len(rhs) - len(lhs)
answer_1 = sum(i + 1 for i, (lhs, rhs) in enumerate(pairs) if compare(lhs, rhs) > 0) class Solver(BaseSolver):
print(f"answer_1 is {answer_1}") def solve(self, input: str) -> Iterator[Any]:
blocks = input.split("\n\n")
pairs = [tuple(json.loads(p) for p in block.split("\n")) for block in blocks]
yield sum(i + 1 for i, (lhs, rhs) in enumerate(pairs) if compare(lhs, rhs) > 0)
dividers = [[[2]], [[6]]] dividers = [[[2]], [[6]]]
@ -38,4 +39,4 @@ packets.extend(dividers)
packets = list(reversed(sorted(packets, key=cmp_to_key(compare)))) packets = list(reversed(sorted(packets, key=cmp_to_key(compare))))
d_index = [packets.index(d) + 1 for d in dividers] d_index = [packets.index(d) + 1 for d in dividers]
print(f"answer 2 is {d_index[0] * d_index[1]}") yield d_index[0] * d_index[1]

View File

@ -1,6 +1,7 @@
import sys
from enum import Enum, auto from enum import Enum, auto
from typing import Callable, cast from typing import Any, Callable, Iterator, cast
from ..base import BaseSolver
class Cell(Enum): class Cell(Enum):
@ -12,26 +13,6 @@ class Cell(Enum):
return {Cell.AIR: ".", Cell.ROCK: "#", Cell.SAND: "O"}[self] 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( def flow(
blocks: dict[tuple[int, int], Cell], blocks: dict[tuple[int, int], Cell],
stop_fn: Callable[[int, int], bool], stop_fn: Callable[[int, int], bool],
@ -84,19 +65,51 @@ def flow(
# === inputs === # === inputs ===
lines = sys.stdin.read().splitlines()
class Solver(BaseSolver):
def print_blocks(self, name: str, blocks: dict[tuple[int, int], Cell]):
"""
Print the given set of blocks on a grid.
Args:
blocks: Set of blocks to print.
"""
if not self.files:
return
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),
)
self.files.create(
f"blocks_{name}.txt",
"\n".join(
"".join(
str(blocks.get((x, y), Cell.AIR)) for x in range(x_min, x_max + 1)
)
for y in range(y_min, y_max + 1)
).encode(),
True,
)
def solve(self, input: str) -> Iterator[Any]:
lines = [line.strip() for line in input.splitlines()]
paths: list[list[tuple[int, int]]] = [] paths: list[list[tuple[int, int]]] = []
for line in lines: for line in lines:
parts = line.split(" -> ") parts = line.split(" -> ")
paths.append( paths.append(
[ [
cast(tuple[int, int], tuple(int(c.strip()) for c in part.split(","))) cast(
tuple[int, int], tuple(int(c.strip()) for c in part.split(","))
)
for part in parts for part in parts
] ]
) )
blocks: dict[tuple[int, int], Cell] = {} blocks: dict[tuple[int, int], Cell] = {}
for path in paths: for path in paths:
for start, end in zip(path[:-1], path[1:]): for start, end in zip(path[:-1], path[1:]):
@ -109,24 +122,17 @@ for path in paths:
for y in range(y_start, y_end): for y in range(y_start, y_end):
blocks[x, y] = Cell.ROCK blocks[x, y] = Cell.ROCK
print_blocks(blocks) self.print_blocks("start", blocks)
print()
x_min, y_min, x_max, y_max = ( y_max = max(y for _, y in blocks)
min(x for x, _ in blocks),
0,
max(x for x, _ in blocks),
max(y for _, y in blocks),
)
# === part 1 === # === part 1 ===
blocks_1 = flow( blocks_1 = flow(
blocks.copy(), stop_fn=lambda x, y: y > y_max, fill_fn=lambda x, y: Cell.AIR blocks.copy(), stop_fn=lambda x, y: y > y_max, fill_fn=lambda x, y: Cell.AIR
) )
print_blocks(blocks_1) self.print_blocks("part1", blocks_1)
print(f"answer 1 is {sum(v == Cell.SAND for v in blocks_1.values())}") yield sum(v == Cell.SAND for v in blocks_1.values())
print()
# === part 2 === # === part 2 ===
@ -136,5 +142,5 @@ blocks_2 = flow(
fill_fn=lambda x, y: Cell.AIR if y < y_max + 2 else Cell.ROCK, fill_fn=lambda x, y: Cell.AIR if y < y_max + 2 else Cell.ROCK,
) )
blocks_2[500, 0] = Cell.SAND blocks_2[500, 0] = Cell.SAND
print_blocks(blocks_2) self.print_blocks("part2", blocks_2)
print(f"answer 2 is {sum(v == Cell.SAND for v in blocks_2.values())}") yield sum(v == Cell.SAND for v in blocks_2.values())

View File

@ -1,12 +1,17 @@
import sys import itertools as it
from typing import Any from typing import Any, Iterator
import numpy as np import numpy as np
import parse # type: ignore import parse # type: ignore
from numpy.typing import NDArray from numpy.typing import NDArray
from ..base import BaseSolver
def part1(sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], row: int) -> int:
class Solver(BaseSolver):
def part1(
self, sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], row: int
) -> int:
no_beacons_row_l: list[NDArray[np.floating[Any]]] = [] no_beacons_row_l: list[NDArray[np.floating[Any]]] = []
for (sx, sy), (bx, by) in sensor_to_beacon.items(): for (sx, sy), (bx, by) in sensor_to_beacon.items():
@ -16,17 +21,14 @@ def part1(sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], row: int) ->
no_beacons_row_l.append(sx + np.arange(0, d - abs(sy - row) + 1)) # type: ignore no_beacons_row_l.append(sx + np.arange(0, d - abs(sy - row) + 1)) # type: ignore
beacons_at_row = set(bx for (bx, by) in sensor_to_beacon.values() if by == row) 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) # type: ignore no_beacons_row = set(it.chain(*no_beacons_row_l)).difference(beacons_at_row) # type: ignore
return len(no_beacons_row) return len(no_beacons_row)
def part2_intervals( def part2_intervals(
sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], xy_max: int self, sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], xy_max: int
) -> tuple[int, int, int]: ) -> tuple[int, int, int]:
from tqdm import trange for y in self.progress.wrap(range(xy_max + 1)):
for y in trange(xy_max + 1):
its: list[tuple[int, int]] = [] its: list[tuple[int, int]] = []
for (sx, sy), (bx, by) in sensor_to_beacon.items(): for (sx, sy), (bx, by) in sensor_to_beacon.items():
d = abs(sx - bx) + abs(sy - by) d = abs(sx - bx) + abs(sy - by)
@ -46,9 +48,8 @@ def part2_intervals(
return (0, 0, 0) return (0, 0, 0)
def part2_cplex( def part2_cplex(
sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], xy_max: int self, sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], xy_max: int
) -> tuple[int, int, int]: ) -> tuple[int, int, int]:
from docplex.mp.model import Model from docplex.mp.model import Model
@ -58,7 +59,10 @@ def part2_cplex(
for (sx, sy), (bx, by) in sensor_to_beacon.items(): for (sx, sy), (bx, by) in sensor_to_beacon.items():
d = abs(sx - bx) + abs(sy - by) 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}") # type: ignore m.add_constraint(
m.abs(x - sx) + m.abs(y - sy) >= d + 1, # type: ignore
ctname=f"ct_{sx}_{sy}",
)
m.set_objective("min", x + y) m.set_objective("min", x + y)
@ -69,8 +73,8 @@ def part2_cplex(
vy = int(s.get_value(y)) vy = int(s.get_value(y))
return vx, vy, 4_000_000 * vx + vy return vx, vy, 4_000_000 * vx + vy
def solve(self, input: str) -> Iterator[Any]:
lines = sys.stdin.read().splitlines() lines = input.splitlines()
sensor_to_beacon: dict[tuple[int, int], tuple[int, int]] = {} sensor_to_beacon: dict[tuple[int, int], tuple[int, int]] = {}
@ -83,8 +87,9 @@ for line in lines:
xy_max = 4_000_000 if max(sensor_to_beacon) > (1_000, 0) else 20 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 row = 2_000_000 if max(sensor_to_beacon) > (1_000, 0) else 10
print(f"answer 1 is {part1(sensor_to_beacon, row)}") yield self.part1(sensor_to_beacon, row)
# x, y, a2 = part2_cplex(sensor_to_beacon, xy_max) # x, y, a2 = part2_cplex(sensor_to_beacon, xy_max)
x, y, a2 = part2_intervals(sensor_to_beacon, xy_max) x, y, a2 = self.part2_intervals(sensor_to_beacon, xy_max)
print(f"answer 2 is {a2} (x={x}, y={y})") self.logger.info(f"answer 2 is {a2} (x={x}, y={y})")
yield a2

View File

@ -3,11 +3,10 @@ from __future__ import annotations
import heapq import heapq
import itertools import itertools
import re import re
import sys
from collections import defaultdict from collections import defaultdict
from typing import FrozenSet, NamedTuple from typing import Any, FrozenSet, Iterator, NamedTuple
from tqdm import tqdm from ..base import BaseSolver
class Pipe(NamedTuple): class Pipe(NamedTuple):
@ -36,8 +35,8 @@ 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) Runs a BFS from the given pipe and return the shortest distance (in term of hops)
to all other pipes. to all other pipes.
""" """
queue = [(0, pipe_1)] queue = [(0, pipe)]
visited = set() visited: set[Pipe] = set()
distances: dict[Pipe, int] = {} distances: dict[Pipe, int] = {}
while len(distances) < len(pipes): while len(distances) < len(pipes):
@ -61,7 +60,12 @@ def update_with_better(
node_at_times[flowing] = max(node_at_times[flowing], flow) node_at_times[flowing] = max(node_at_times[flowing], flow)
# === MAIN ===
class Solver(BaseSolver):
def part_1( def part_1(
self,
start_pipe: Pipe, start_pipe: Pipe,
max_time: int, max_time: int,
distances: dict[tuple[Pipe, Pipe], int], distances: dict[tuple[Pipe, Pipe], int],
@ -98,15 +102,17 @@ def part_1(
for flow in nodes_of_pipe.values() for flow in nodes_of_pipe.values()
) )
def part_2( def part_2(
self,
start_pipe: Pipe, start_pipe: Pipe,
max_time: int, max_time: int,
distances: dict[tuple[Pipe, Pipe], int], distances: dict[tuple[Pipe, Pipe], int],
relevant_pipes: FrozenSet[Pipe], relevant_pipes: FrozenSet[Pipe],
): ):
def compute(pipes_for_me: FrozenSet[Pipe]) -> int: def compute(pipes_for_me: FrozenSet[Pipe]) -> int:
return part_1(start_pipe, max_time, distances, pipes_for_me) + part_1( return self.part_1(
start_pipe, max_time, distances, pipes_for_me
) + self.part_1(
start_pipe, max_time, distances, relevant_pipes - pipes_for_me start_pipe, max_time, distances, relevant_pipes - pipes_for_me
) )
@ -116,14 +122,10 @@ def part_2(
for relevant_pipes_1 in itertools.combinations(relevant_pipes, r) for relevant_pipes_1 in itertools.combinations(relevant_pipes, r)
] ]
return max(compute(comb) for comb in tqdm(combs)) return max(compute(comb) for comb in self.progress.wrap(combs))
# === MAIN ===
lines = sys.stdin.read().splitlines()
def solve(self, input: str) -> Iterator[Any]:
lines = [line.strip() for line in input.splitlines()]
pipes: dict[str, Pipe] = {} pipes: dict[str, Pipe] = {}
for line in lines: for line in lines:
@ -150,9 +152,8 @@ for pipe_1 in pipes.values():
# valves with flow # valves with flow
relevant_pipes = frozenset(pipe for pipe in pipes.values() if pipe.flow > 0) relevant_pipes = frozenset(pipe for pipe in pipes.values() if pipe.flow > 0)
# 1651, 1653 # 1651, 1653
print(part_1(pipes["AA"], 30, distances, relevant_pipes)) yield self.part_1(pipes["AA"], 30, distances, relevant_pipes)
# 1707, 2223 # 1707, 2223
print(part_2(pipes["AA"], 26, distances, relevant_pipes)) yield self.part_2(pipes["AA"], 26, distances, relevant_pipes)

View File

@ -1,23 +1,16 @@
import sys from typing import Any, Iterator, Sequence, TypeAlias, TypeVar
from typing import Sequence, TypeVar
import numpy as np import numpy as np
from numpy.typing import NDArray
from ..base import BaseSolver
T = TypeVar("T") T = TypeVar("T")
Tower: TypeAlias = NDArray[np.bool]
def print_tower(tower: np.ndarray, out: str = "#"):
print("-" * (tower.shape[1] + 2))
non_empty = False
for row in reversed(range(1, tower.shape[0])):
if not non_empty and not tower[row, :].any():
continue
non_empty = True
print("|" + "".join(out if c else "." for c in tower[row, :]) + "|")
print("+" + "-" * tower.shape[1] + "+")
def tower_height(tower: np.ndarray) -> int: def tower_height(tower: Tower) -> int:
return int(tower.shape[0] - tower[::-1, :].argmax(axis=0).min() - 1) return int(tower.shape[0] - tower[::-1, :].argmax(axis=0).min() - 1)
@ -45,8 +38,8 @@ def build_tower(
n_rocks: int, n_rocks: int,
jets: str, jets: str,
early_stop: bool = False, early_stop: bool = False,
init: np.ndarray = np.ones(WIDTH, dtype=bool), init: Tower = np.ones(WIDTH, dtype=bool),
) -> tuple[np.ndarray, int, int, dict[int, int]]: ) -> tuple[Tower, int, int, dict[int, int]]:
tower = EMPTY_BLOCKS.copy() tower = EMPTY_BLOCKS.copy()
tower[0, :] = init tower[0, :] = init
@ -95,14 +88,13 @@ def build_tower(
return tower, rock_count, done_at.get((i_rock, i_jet), -1), heights return tower, rock_count, done_at.get((i_rock, i_jet), -1), heights
line = sys.stdin.read().strip() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
tower, *_ = build_tower(2022, line) tower, *_ = build_tower(2022, input)
answer_1 = tower_height(tower) yield tower_height(tower)
print(f"answer 1 is {answer_1}")
TOTAL_ROCKS = 1_000_000_000_000 TOTAL_ROCKS = 1_000_000_000_000
tower_1, n_rocks_1, prev_1, heights_1 = build_tower(TOTAL_ROCKS, line, True) _tower_1, n_rocks_1, prev_1, heights_1 = build_tower(TOTAL_ROCKS, input, True)
assert prev_1 > 0 assert prev_1 > 0
# 2767 1513 # 2767 1513
@ -116,5 +108,4 @@ remaining_height = (
heights_1[prev_1 + remaining_rocks % n_repeat_rocks] - heights_1[prev_1] heights_1[prev_1 + remaining_rocks % n_repeat_rocks] - heights_1[prev_1]
) )
answer_2 = base_height + (n_repeat_towers + 1) * repeat_height + remaining_height yield base_height + (n_repeat_towers + 1) * repeat_height + remaining_height
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,16 @@
import sys from typing import Any, Iterator
import numpy as np import numpy as np
from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
xyz = np.asarray( xyz = np.asarray(
[ [
tuple(int(x) for x in row.split(",")) # type: ignore tuple(int(x) for x in row.split(",")) # type: ignore
for row in sys.stdin.read().splitlines() for row in input.splitlines()
] ]
) )
@ -14,14 +19,14 @@ xyz = xyz - xyz.min(axis=0) + 1
cubes = np.zeros(xyz.max(axis=0) + 3, dtype=bool) cubes = np.zeros(xyz.max(axis=0) + 3, dtype=bool)
cubes[xyz[:, 0], xyz[:, 1], xyz[:, 2]] = True 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)] faces = [(-1, 0, 0), (1, 0, 0), (0, -1, 0), (0, 1, 0), (0, 0, -1), (0, 0, 1)]
answer_1 = sum( yield sum(
1 for x, y, z in xyz for dx, dy, dz in faces if not cubes[x + dx, y + dy, z + dz] 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) visited = np.zeros_like(cubes, dtype=bool)
queue = [(0, 0, 0)] queue = [(0, 0, 0)]
@ -37,7 +42,9 @@ while queue:
for dx, dy, dz in faces: for dx, dy, dz in faces:
nx, ny, nz = x + dx, y + dy, z + dz 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))): if not all(
n >= 0 and n < cubes.shape[i] for i, n in enumerate((nx, ny, nz))
):
continue continue
if visited[nx, ny, nz]: if visited[nx, ny, nz]:
@ -47,4 +54,5 @@ while queue:
n_faces += 1 n_faces += 1
else: else:
queue.append((nx, ny, nz)) queue.append((nx, ny, nz))
print(f"answer 2 is {n_faces}")
yield n_faces

View File

@ -1,10 +1,11 @@
import sys from typing import Any, Iterator, Literal
from typing import Any, Literal
import numpy as np import numpy as np
import parse # pyright: ignore[reportMissingTypeStubs] import parse # pyright: ignore[reportMissingTypeStubs]
from numpy.typing import NDArray from numpy.typing import NDArray
from ..base import BaseSolver
Reagent = Literal["ore", "clay", "obsidian", "geode"] Reagent = Literal["ore", "clay", "obsidian", "geode"]
REAGENTS: tuple[Reagent, ...] = ( REAGENTS: tuple[Reagent, ...] = (
"ore", "ore",
@ -62,29 +63,6 @@ def dominates(lhs: State, rhs: State):
) )
lines = sys.stdin.read().splitlines()
blueprints: list[dict[Reagent, IntOfReagent]] = []
for line in lines:
r: list[int] = parse.parse( # type: ignore
"Blueprint {}: "
"Each ore robot costs {:d} ore. "
"Each clay robot costs {:d} ore. "
"Each obsidian robot costs {:d} ore and {:d} clay. "
"Each geode robot costs {:d} ore and {:d} obsidian.",
line,
)
blueprints.append(
{
"ore": {"ore": r[1]},
"clay": {"ore": r[2]},
"obsidian": {"ore": r[3], "clay": r[4]},
"geode": {"ore": r[5], "obsidian": r[6]},
}
)
def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int: def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
# since we can only build one robot per time, we do not need more than X robots # since we can only build one robot per time, we do not need more than X robots
# of type K where X is the maximum number of K required among all robots, e.g., # of type K where X is the maximum number of K required among all robots, e.g.,
@ -173,11 +151,31 @@ def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
return max(state.reagents["geode"] for state in state_after_t[max_time]) return max(state.reagents["geode"] for state in state_after_t[max_time])
answer_1 = sum( class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
blueprints: list[dict[Reagent, IntOfReagent]] = []
for line in input.splitlines():
r: list[int] = parse.parse( # type: ignore
"Blueprint {}: "
"Each ore robot costs {:d} ore. "
"Each clay robot costs {:d} ore. "
"Each obsidian robot costs {:d} ore and {:d} clay. "
"Each geode robot costs {:d} ore and {:d} obsidian.",
line,
)
blueprints.append(
{
"ore": {"ore": r[1]},
"clay": {"ore": r[2]},
"obsidian": {"ore": r[3], "clay": r[4]},
"geode": {"ore": r[5], "obsidian": r[6]},
}
)
yield sum(
(i_blueprint + 1) * run(blueprint, 24) (i_blueprint + 1) * run(blueprint, 24)
for i_blueprint, blueprint in enumerate(blueprints) for i_blueprint, blueprint in enumerate(blueprints)
) )
print(f"answer 1 is {answer_1}")
answer_2 = run(blueprints[0], 32) * run(blueprints[1], 32) * run(blueprints[2], 32) yield (run(blueprints[0], 32) * run(blueprints[1], 32) * run(blueprints[2], 32))
print(f"answer 2 is {answer_2}")

View File

@ -1,4 +1,6 @@
import sys from typing import Any, Iterator
from ..base import BaseSolver
def score_1(ux: int, vx: int) -> int: def score_1(ux: int, vx: int) -> int:
@ -33,7 +35,9 @@ def score_2(ux: int, vx: int) -> int:
return (ux + vx - 1) % 3 + 1 + vx * 3 return (ux + vx - 1) % 3 + 1 + vx * 3
lines = sys.stdin.readlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
# the solution relies on replacing rock / paper / scissor by values 0 / 1 / 2 and using # the solution relies on replacing rock / paper / scissor by values 0 / 1 / 2 and using
# modulo-3 arithmetic # modulo-3 arithmetic
@ -47,7 +51,7 @@ lines = sys.stdin.readlines()
values = [(ord(row[0]) - ord("A"), ord(row[2]) - ord("X")) for row in lines] values = [(ord(row[0]) - ord("A"), ord(row[2]) - ord("X")) for row in lines]
# part 1 - 13526 # part 1 - 13526
print(f"answer 1 is {sum(score_1(*v) for v in values)}") yield sum(score_1(*v) for v in values)
# part 2 - 14204 # part 2 - 14204
print(f"answer 2 is {sum(score_2(*v) for v in values)}") yield sum(score_2(*v) for v in values)

View File

@ -1,6 +1,8 @@
from __future__ import annotations from __future__ import annotations
import sys from typing import Any, Iterator
from ..base import BaseSolver
class Number: class Number:
@ -65,10 +67,9 @@ def decrypt(numbers: list[Number], key: int, rounds: int) -> int:
) )
numbers = [Number(int(x)) for i, x in enumerate(sys.stdin.readlines())] class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
numbers = [Number(int(x)) for x in input.splitlines()]
answer_1 = decrypt(numbers, 1, 1) yield decrypt(numbers, 1, 1)
print(f"answer 1 is {answer_1}") yield decrypt(numbers, 811589153, 10)
answer_2 = decrypt(numbers, 811589153, 10)
print(f"answer 2 is {answer_2}")

View File

@ -1,6 +1,7 @@
import operator import operator
import sys from typing import Any, Callable, Iterator
from typing import Callable
from ..base import BaseSolver
def compute(monkeys: dict[str, int | tuple[str, str, str]], monkey: str) -> int: def compute(monkeys: dict[str, int | tuple[str, str, str]], monkey: str) -> int:
@ -77,7 +78,9 @@ def invert(
return monkeys return monkeys
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = [line.strip() for line in input.splitlines()]
monkeys: dict[str, int | tuple[str, str, str]] = {} monkeys: dict[str, int | tuple[str, str, str]] = {}
@ -96,12 +99,10 @@ for line in lines:
op_monkeys.add(name) op_monkeys.add(name)
yield compute(monkeys.copy(), "root")
answer_1 = compute(monkeys.copy(), "root")
print(f"answer 1 is {answer_1}")
# assume the second operand of 'root' can be computed, and the first one depends on # assume the second operand of 'root' can be computed, and the first one depends on
# humn, which is the case is my input and the test input # humn, which is the case is my input and the test input
assert isinstance(monkeys["root"], tuple)
p1, _, p2 = monkeys["root"] # type: ignore p1, _, p2 = monkeys["root"] # type: ignore
answer_2 = compute(invert(monkeys, "humn", compute(monkeys.copy(), p2)), "humn") yield compute(invert(monkeys, "humn", compute(monkeys.copy(), p2)), "humn")
print(f"answer 2 is {answer_2}")

View File

@ -1,16 +1,19 @@
import re import re
import sys from typing import Any, Callable, Iterator
from typing import Callable
import numpy as np import numpy as np
from ..base import BaseSolver
VOID, EMPTY, WALL = 0, 1, 2 VOID, EMPTY, WALL = 0, 1, 2
TILE_FROM_CHAR = {" ": VOID, ".": EMPTY, "#": WALL} TILE_FROM_CHAR = {" ": VOID, ".": EMPTY, "#": WALL}
SCORES = {"E": 0, "S": 1, "W": 2, "N": 3} SCORES = {"E": 0, "S": 1, "W": 2, "N": 3}
board_map_s, direction_s = sys.stdin.read().split("\n\n") class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
board_map_s, direction_s = input.split("\n\n")
# board # board
board_lines = board_map_s.splitlines() board_lines = board_map_s.splitlines()
@ -23,16 +26,19 @@ board = np.array(
) )
directions = [ directions = [
int(p1) if p2 else p1 for p1, p2 in re.findall(R"(([0-9])+|L|R)", direction_s) 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 # find on each row and column the first and last non-void
row_first_non_void = np.argmax(board != VOID, axis=1) 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 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_first_non_void = np.argmax(board != VOID, axis=0)
col_last_non_void = board.shape[0] - np.argmax(board[::-1, :] != VOID, axis=0) - 1 col_last_non_void = (
board.shape[0] - np.argmax(board[::-1, :] != VOID, axis=0) - 1
)
faces = np.zeros_like(board) faces = np.zeros_like(board)
size = np.gcd(board.shape[0], board.shape[1]) size = np.gcd(board.shape[0], board.shape[1])
@ -103,7 +109,6 @@ else:
}, },
} }
def wrap_part_1(y0: int, x0: int, r0: str) -> tuple[int, int, str]: def wrap_part_1(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
if r0 == "E": if r0 == "E":
return y0, row_first_non_void[y0], r0 return y0, row_first_non_void[y0], r0
@ -116,14 +121,14 @@ def wrap_part_1(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
assert False assert False
def wrap_part_2(y0: int, x0: int, r0: str) -> tuple[int, int, str]: def wrap_part_2(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
cube = faces[y0, x0] cube = faces[y0, x0]
assert r0 in faces_wrap[cube] assert r0 in faces_wrap[cube]
return faces_wrap[cube][r0](y0, x0) return faces_wrap[cube][r0](y0, x0)
def run(
def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int, str]: wrap: Callable[[int, int, str], tuple[int, int, str]],
) -> tuple[int, int, str]:
y0 = 0 y0 = 0
x0 = np.where(board[0] == EMPTY)[0][0] x0 = np.where(board[0] == EMPTY)[0][0]
r0 = "E" r0 = "E"
@ -132,7 +137,9 @@ def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int
if isinstance(direction, int): if isinstance(direction, int):
while direction > 0: while direction > 0:
if r0 == "E": if r0 == "E":
xi = np.where(board[y0, x0 + 1 : x0 + direction + 1] == WALL)[0] xi = np.where(
board[y0, x0 + 1 : x0 + direction + 1] == WALL
)[0]
if len(xi): if len(xi):
x0 = x0 + xi[0] x0 = x0 + xi[0]
direction = 0 direction = 0
@ -148,10 +155,14 @@ def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int
x0 = row_last_non_void[y0] x0 = row_last_non_void[y0]
direction = 0 direction = 0
else: else:
direction = direction - (row_last_non_void[y0] - x0) - 1 direction = (
direction - (row_last_non_void[y0] - x0) - 1
)
y0, x0, r0 = y0_t, x0_t, r0_t y0, x0, r0 = y0_t, x0_t, r0_t
elif r0 == "S": elif r0 == "S":
yi = np.where(board[y0 + 1 : y0 + direction + 1, x0] == WALL)[0] yi = np.where(
board[y0 + 1 : y0 + direction + 1, x0] == WALL
)[0]
if len(yi): if len(yi):
y0 = y0 + yi[0] y0 = y0 + yi[0]
direction = 0 direction = 0
@ -167,7 +178,9 @@ def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int
y0 = col_last_non_void[x0] y0 = col_last_non_void[x0]
direction = 0 direction = 0
else: else:
direction = direction - (col_last_non_void[x0] - y0) - 1 direction = (
direction - (col_last_non_void[x0] - y0) - 1
)
y0, x0, r0 = y0_t, x0_t, r0_t y0, x0, r0 = y0_t, x0_t, r0_t
elif r0 == "W": elif r0 == "W":
left = max(x0 - direction - 1, 0) left = max(x0 - direction - 1, 0)
@ -175,7 +188,10 @@ def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int
if len(xi): if len(xi):
x0 = left + xi[-1] + 1 x0 = left + xi[-1] + 1
direction = 0 direction = 0
elif x0 - direction >= 0 and board[y0, x0 - direction] == EMPTY: elif (
x0 - direction >= 0
and board[y0, x0 - direction] == EMPTY
):
x0 = x0 - direction x0 = x0 - direction
direction = 0 direction = 0
else: else:
@ -184,7 +200,9 @@ def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int
x0 = row_first_non_void[y0] x0 = row_first_non_void[y0]
direction = 0 direction = 0
else: else:
direction = direction - (x0 - row_first_non_void[y0]) - 1 direction = (
direction - (x0 - row_first_non_void[y0]) - 1
)
y0, x0, r0 = y0_t, x0_t, r0_t y0, x0, r0 = y0_t, x0_t, r0_t
elif r0 == "N": elif r0 == "N":
top = max(y0 - direction - 1, 0) top = max(y0 - direction - 1, 0)
@ -192,7 +210,10 @@ def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int
if len(yi): if len(yi):
y0 = top + yi[-1] + 1 y0 = top + yi[-1] + 1
direction = 0 direction = 0
elif y0 - direction >= 0 and board[y0 - direction, x0] == EMPTY: elif (
y0 - direction >= 0
and board[y0 - direction, x0] == EMPTY
):
y0 = y0 - direction y0 = y0 - direction
direction = 0 direction = 0
else: else:
@ -201,7 +222,9 @@ def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int
y0 = col_first_non_void[x0] y0 = col_first_non_void[x0]
direction = 0 direction = 0
else: else:
direction = direction - (y0 - col_first_non_void[x0]) - 1 direction = (
direction - (y0 - col_first_non_void[x0]) - 1
)
y0, x0, r0 = y0_t, x0_t, r0_t y0, x0, r0 = y0_t, x0_t, r0_t
else: else:
r0 = { r0 = {
@ -213,11 +236,8 @@ def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int
return y0, x0, r0 return y0, x0, r0
y1, x1, r1 = run(wrap_part_1) y1, x1, r1 = run(wrap_part_1)
answer_1 = 1000 * (1 + y1) + 4 * (1 + x1) + SCORES[r1] yield 1000 * (1 + y1) + 4 * (1 + x1) + SCORES[r1]
print(f"answer 1 is {answer_1}")
y2, x2, r2 = run(wrap_part_2) y2, x2, r2 = run(wrap_part_2)
answer_2 = 1000 * (1 + y2) + 4 * (1 + x2) + SCORES[r2] yield 1000 * (1 + y2) + 4 * (1 + x2) + SCORES[r2]
print(f"answer 2 is {answer_2}")

View File

@ -1,6 +1,8 @@
import itertools import itertools
import sys
from collections import defaultdict from collections import defaultdict
from typing import Any, Iterator
from ..base import BaseSolver
Directions = list[ Directions = list[
tuple[ tuple[
@ -18,22 +20,10 @@ DIRECTIONS: Directions = [
def min_max_yx(positions: set[tuple[int, int]]) -> tuple[int, int, int, int]: def min_max_yx(positions: set[tuple[int, int]]) -> tuple[int, int, int, int]:
ys, xs = {y for y, x in positions}, {x for y, x in positions} ys, xs = {y for y, _x in positions}, {x for _y, x in positions}
return min(ys), min(xs), max(ys), max(xs) return min(ys), min(xs), max(ys), max(xs)
def print_positions(positions: set[tuple[int, int]]):
min_y, min_x, max_y, max_x = min_max_yx(positions)
print(
"\n".join(
"".join(
"#" if (y, x) in positions else "." for x in range(min_x - 1, max_x + 2)
)
for y in range(min_y - 1, max_y + 2)
)
)
def round( def round(
positions: set[tuple[int, int]], positions: set[tuple[int, int]],
directions: Directions, directions: Directions,
@ -69,9 +59,11 @@ def round(
directions.append(directions.pop(0)) directions.append(directions.pop(0))
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
POSITIONS = { POSITIONS = {
(i, j) (i, j)
for i, row in enumerate(sys.stdin.read().splitlines()) for i, row in enumerate(input.splitlines())
for j, col in enumerate(row) for j, col in enumerate(row)
if col == "#" if col == "#"
} }
@ -79,14 +71,15 @@ POSITIONS = {
# === part 1 === # === part 1 ===
p1, d1 = POSITIONS.copy(), DIRECTIONS.copy() p1, d1 = POSITIONS.copy(), DIRECTIONS.copy()
for r in range(10): for _ in range(10):
round(p1, d1) round(p1, d1)
min_y, min_x, max_y, max_x = min_max_yx(p1) min_y, min_x, max_y, max_x = min_max_yx(p1)
answer_1 = sum( yield sum(
(y, x) not in p1 for y in range(min_y, max_y + 1) for x in range(min_x, max_x + 1) (y, x) not in p1
for y in range(min_y, max_y + 1)
for x in range(min_x, max_x + 1)
) )
print(f"answer 1 is {answer_1}")
# === part 2 === # === part 2 ===
@ -100,4 +93,4 @@ while True:
if backup == p2: if backup == p2:
break break
print(f"answer 2 is {answer_2}") yield answer_2

View File

@ -1,9 +1,14 @@
import heapq import heapq
import math import math
import sys
from collections import defaultdict from collections import defaultdict
from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = [line.strip() for line in input.splitlines()]
winds = { winds = {
(i - 1, j - 1, lines[i][j]) (i - 1, j - 1, lines[i][j])
@ -15,8 +20,12 @@ winds = {
n_rows, n_cols = len(lines) - 2, len(lines[0]) - 2 n_rows, n_cols = len(lines) - 2, len(lines[0]) - 2
CYCLE = math.lcm(n_rows, n_cols) 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)] east_winds = [
west_winds = [{j for j in range(n_cols) if (i, j, "<") in winds} for i in range(n_rows)] {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 = [ north_winds = [
{i for i in range(n_rows) if (i, j, "^") in winds} for j in range(n_cols) {i for i in range(n_rows) if (i, j, "^") in winds} for j in range(n_cols)
] ]
@ -24,13 +33,14 @@ south_winds = [
{i for i in range(n_rows) if (i, j, "v") in winds} for j in range(n_cols) {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 run(start: tuple[int, int], start_cycle: int, end: tuple[int, int]):
def heuristic(y: int, x: int) -> int: def heuristic(y: int, x: int) -> int:
return abs(end[0] - y) + abs(end[1] - x) return abs(end[0] - y) + abs(end[1] - x)
# (distance + heuristic, distance, (start_pos, cycle)) # (distance + heuristic, distance, (start_pos, cycle))
queue = [(heuristic(start[0], start[1]), 0, ((start[0], start[1]), start_cycle))] queue = [
(heuristic(start[0], start[1]), 0, ((start[0], start[1]), start_cycle))
]
visited: set[tuple[tuple[int, int], int]] = set() visited: set[tuple[tuple[int, int], int]] = set()
distances: dict[tuple[int, int], dict[int, int]] = defaultdict(lambda: {}) distances: dict[tuple[int, int], dict[int, int]] = defaultdict(lambda: {})
@ -54,13 +64,17 @@ def run(start: tuple[int, int], start_cycle: int, end: tuple[int, int]):
n_cycle = (cycle + 1) % CYCLE n_cycle = (cycle + 1) % CYCLE
if (ty, tx) == end: if (ty, tx) == end:
heapq.heappush(queue, (distance + 1, distance + 1, ((ty, tx), n_cycle))) heapq.heappush(
queue, (distance + 1, distance + 1, ((ty, tx), n_cycle))
)
break break
if ((ty, tx), n_cycle) in visited: if ((ty, tx), n_cycle) in visited:
continue continue
if (ty, tx) != start and (ty < 0 or tx < 0 or ty >= n_rows or tx >= n_cols): if (ty, tx) != start and (
ty < 0 or tx < 0 or ty >= n_rows or tx >= n_cols
):
continue continue
if (ty, tx) != start: if (ty, tx) != start:
@ -75,12 +89,17 @@ def run(start: tuple[int, int], start_cycle: int, end: tuple[int, int]):
heapq.heappush( heapq.heappush(
queue, queue,
((heuristic(ty, tx) + distance + 1, distance + 1, ((ty, tx), n_cycle))), (
(
heuristic(ty, tx) + distance + 1,
distance + 1,
((ty, tx), n_cycle),
)
),
) )
return distances, next(iter(distances[end].values())) return distances, next(iter(distances[end].values()))
start = ( start = (
-1, -1,
next(j for j in range(1, len(lines[0]) - 1) if lines[0][j] == ".") - 1, next(j for j in range(1, len(lines[0]) - 1) if lines[0][j] == ".") - 1,
@ -91,8 +110,8 @@ end = (
) )
distances_1, forward_1 = run(start, 0, end) distances_1, forward_1 = run(start, 0, end)
print(f"answer 1 is {forward_1}") yield forward_1
distances_2, return_1 = run(end, next(iter(distances_1[end].keys())), start) 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) _distances_3, forward_2 = run(start, next(iter(distances_2[start].keys())), end)
print(f"answer 2 is {forward_1 + return_1 + forward_2}") yield forward_1 + return_1 + forward_2

View File

@ -1,10 +1,14 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = [line.strip() for line in input.splitlines()]
coeffs = {"2": 2, "1": 1, "0": 0, "-": -1, "=": -2} coeffs = {"2": 2, "1": 1, "0": 0, "-": -1, "=": -2}
def snafu2number(number: str) -> int: def snafu2number(number: str) -> int:
value = 0 value = 0
for c in number: for c in number:
@ -12,7 +16,6 @@ def snafu2number(number: str) -> int:
value += coeffs[c] value += coeffs[c]
return value return value
def number2snafu(number: int) -> str: def number2snafu(number: int) -> str:
values = ["0", "1", "2", "=", "-"] values = ["0", "1", "2", "=", "-"]
res = "" res = ""
@ -22,6 +25,4 @@ def number2snafu(number: int) -> str:
number = number // 5 + int(mod >= 3) number = number // 5 + int(mod >= 3)
return "".join(reversed(res)) return "".join(reversed(res))
yield number2snafu(sum(map(snafu2number, lines)))
answer_1 = number2snafu(sum(map(snafu2number, lines)))
print(f"answer 1 is {answer_1}")

View File

@ -1,23 +1,28 @@
import string import string
import sys from typing import Any, Iterator
lines = [line.strip() for line in sys.stdin.readlines()] from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = [line.strip() for line in input.splitlines()]
# extract content of each part # extract content of each part
parts = [(set(line[: len(line) // 2]), set(line[len(line) // 2 :])) for line in lines] parts = [
(set(line[: len(line) // 2]), set(line[len(line) // 2 :])) for line in lines
]
# priorities # priorities
priorities = {c: i + 1 for i, c in enumerate(string.ascii_letters)} priorities = {c: i + 1 for i, c in enumerate(string.ascii_letters)}
# part 1 # part 1
part1 = sum(priorities[c] for p1, p2 in parts for c in p1.intersection(p2)) yield sum(priorities[c] for p1, p2 in parts for c in p1.intersection(p2))
print(f"answer 1 is {part1}")
# part 2 # part 2
n_per_group = 3 n_per_group = 3
part2 = sum( yield sum(
priorities[c] priorities[c]
for i in range(0, len(lines), n_per_group) for i in range(0, len(lines), n_per_group)
for c in set(lines[i]).intersection(*lines[i + 1 : i + n_per_group]) for c in set(lines[i]).intersection(*lines[i + 1 : i + n_per_group])
) )
print(f"answer 2 is {part2}")

View File

@ -1,6 +1,6 @@
import sys from typing import Any, Iterator
lines = [line.strip() for line in sys.stdin.readlines()] from ..base import BaseSolver
def make_range(value: str) -> set[int]: def make_range(value: str) -> set[int]:
@ -8,10 +8,13 @@ def make_range(value: str) -> set[int]:
return set(range(int(parts[0]), int(parts[1]) + 1)) return set(range(int(parts[0]), int(parts[1]) + 1))
sections = [tuple(make_range(part) for part in line.split(",")) for line in lines] class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = [line.strip() for line in input.splitlines()]
answer_1 = sum(s1.issubset(s2) or s2.issubset(s1) for s1, s2 in sections) sections = [
print(f"answer 1 is {answer_1}") tuple(make_range(part) for part in line.split(",")) for line in lines
]
answer_2 = sum(bool(s1.intersection(s2)) for s1, s2 in sections) yield sum(s1.issubset(s2) or s2.issubset(s1) for s1, s2 in sections)
print(f"answer 1 is {answer_2}") yield sum(bool(s1.intersection(s2)) for s1, s2 in sections)

View File

@ -1,7 +1,12 @@
import copy import copy
import sys from typing import Any, Iterator
blocks_s, moves_s = (part.splitlines() for part in sys.stdin.read().split("\n\n")) from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
blocks_s, moves_s = (part.splitlines() for part in input.split("\n\n"))
blocks: dict[str, list[str]] = {stack: [] for stack in blocks_s[-1].split()} blocks: dict[str, list[str]] = {stack: [] for stack in blocks_s[-1].split()}
@ -34,8 +39,5 @@ for move in moves_s:
blocks_2[to_].extend(blocks_2[from_][-count:]) blocks_2[to_].extend(blocks_2[from_][-count:])
del blocks_2[from_][-count:] del blocks_2[from_][-count:]
answer_1 = "".join(s[-1] for s in blocks_1.values()) yield "".join(s[-1] for s in blocks_1.values())
print(f"answer 1 is {answer_1}") yield "".join(s[-1] for s in blocks_2.values())
answer_2 = "".join(s[-1] for s in blocks_2.values())
print(f"answer 2 is {answer_2}")

View File

@ -1,4 +1,6 @@
import sys from typing import Any, Iterator
from ..base import BaseSolver
def index_of_first_n_differents(data: str, n: int) -> int: def index_of_first_n_differents(data: str, n: int) -> int:
@ -8,8 +10,7 @@ def index_of_first_n_differents(data: str, n: int) -> int:
return -1 return -1
data = sys.stdin.read().strip() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
yield index_of_first_n_differents(input, 4)
print(f"answer 1 is {index_of_first_n_differents(data, 4)}") yield index_of_first_n_differents(input, 14)
print(f"answer 2 is {index_of_first_n_differents(data, 14)}")

View File

@ -1,7 +1,12 @@
import sys
from pathlib import Path from pathlib import Path
from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = [line.strip() for line in input.splitlines()]
# we are going to use Path to create path and go up/down in the file tree since it # we are going to use Path to create path and go up/down in the file tree since it
# implements everything we need # implements everything we need
@ -53,7 +58,6 @@ for line in lines[1:]:
trees[cur_path].append(path) trees[cur_path].append(path)
sizes[path] = size sizes[path] = size
def compute_size(path: Path) -> int: def compute_size(path: Path) -> int:
size = sizes[path] size = sizes[path]
@ -62,12 +66,10 @@ def compute_size(path: Path) -> int:
return sum(compute_size(sub) for sub in trees[path]) return sum(compute_size(sub) for sub in trees[path])
acc_sizes = {path: compute_size(path) for path in trees} acc_sizes = {path: compute_size(path) for path in trees}
# part 1 # part 1
answer_1 = sum(size for size in acc_sizes.values() if size <= 100_000) yield sum(size for size in acc_sizes.values() if size <= 100_000)
print(f"answer 1 is {answer_1}")
# part 2 # part 2
total_space = 70_000_000 total_space = 70_000_000
@ -76,5 +78,4 @@ free_space = total_space - acc_sizes[base_path]
to_free_space = update_space - free_space to_free_space = update_space - free_space
answer_2 = min(size for size in acc_sizes.values() if size >= to_free_space) yield min(size for size in acc_sizes.values() if size >= to_free_space)
print(f"answer 2 is {answer_2}")

View File

@ -1,9 +1,14 @@
import sys from typing import Any, Iterator
import numpy as np import numpy as np
from numpy.typing import NDArray from numpy.typing import NDArray
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = [line.strip() for line in input.splitlines()]
trees = np.array([[int(x) for x in row] for row in lines]) trees = np.array([[int(x) for x in row] for row in lines])
@ -22,9 +27,7 @@ highest_trees[1:-1, 1:-1] = [
for i in range(1, trees.shape[0] - 1) for i in range(1, trees.shape[0] - 1)
] ]
answer_1 = (highest_trees.min(axis=2) < trees).sum() yield (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: def viewing_distance(row_of_trees: NDArray[np.int_], value: int) -> int:
w = np.where(row_of_trees >= value)[0] w = np.where(row_of_trees >= value)[0]
@ -34,7 +37,6 @@ def viewing_distance(row_of_trees: NDArray[np.int_], value: int) -> int:
return w[0] + 1 return w[0] + 1
# answer 2 # answer 2
v_distances = np.zeros(trees.shape + (4,), dtype=int) v_distances = np.zeros(trees.shape + (4,), dtype=int)
v_distances[1:-1, 1:-1, :] = [ v_distances[1:-1, 1:-1, :] = [
@ -49,5 +51,4 @@ v_distances[1:-1, 1:-1, :] = [
] ]
for i in range(1, trees.shape[0] - 1) for i in range(1, trees.shape[0] - 1)
] ]
answer_2 = np.prod(v_distances, axis=2).max() yield np.prod(v_distances, axis=2).max()
print(f"answer 2 is {answer_2}")

View File

@ -1,7 +1,10 @@
import sys import itertools as it
from typing import Any, Iterator
import numpy as np import numpy as np
from ..base import BaseSolver
def move(head: tuple[int, int], command: str) -> tuple[int, int]: def move(head: tuple[int, int], command: str) -> tuple[int, int]:
h_col, h_row = head h_col, h_row = head
@ -43,17 +46,14 @@ def run(commands: list[str], n_blocks: int) -> list[tuple[int, int]]:
return visited return visited
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = [line.strip() for line in input.splitlines()]
# flatten the commands # flatten the commands
commands: list[str] = [] commands = list(
for line in lines: it.chain(*(p[0] * int(p[1]) for line in lines if (p := line.split())))
d, c = line.split() )
commands.extend(d * int(c))
yield len(set(run(commands, n_blocks=2)))
visited_1 = run(commands, n_blocks=2) yield len(set(run(commands, n_blocks=10)))
print(f"answer 1 is {len(set(visited_1))}")
visited_2 = run(commands, n_blocks=10)
print(f"answer 2 is {len(set(visited_2))}")

View File

@ -1,27 +1,9 @@
import sys from typing import Any, Iterator
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
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]: def find_values(lines: list[str], lookups: dict[str, int]) -> list[int]:
values: list[int] = [] values: list[int] = []
for line in filter(bool, lines): for line in filter(bool, lines):
@ -41,5 +23,27 @@ def find_values(lookups: dict[str, int]) -> list[int]:
return values return values
print(f"answer 1 is {sum(find_values(lookups_1))}") class Solver(BaseSolver):
print(f"answer 2 is {sum(find_values(lookups_2))}") def solve(self, input: str) -> Iterator[Any]:
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",
)
)
}
lines = input.splitlines()
yield sum(find_values(lines, lookups_1))
yield sum(find_values(lines, lookups_2))

View File

@ -1,13 +1,14 @@
import os from typing import Any, Iterator, Literal, cast
import sys
from typing import Literal, cast
VERBOSE = os.getenv("AOC_VERBOSE") == "True" from ..base import BaseSolver
Symbol = Literal["|", "-", "L", "J", "7", "F", ".", "S"] Symbol = Literal["|", "-", "L", "J", "7", "F", ".", "S"]
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines: list[list[Symbol]] = [ lines: list[list[Symbol]] = [
[cast(Symbol, symbol) for symbol in line] for line in sys.stdin.read().splitlines() [cast(Symbol, symbol) for symbol in line] for line in input.splitlines()
] ]
# find starting point # find starting point
@ -51,8 +52,7 @@ while True:
loop.append((i, j)) loop.append((i, j))
answer_1 = len(loop) // 2 yield len(loop) // 2
print(f"answer 1 is {answer_1}")
# part 2 # part 2
@ -83,18 +83,17 @@ for i in range(len(lines)):
if (i, j) in loop_s and lines[i][j] in "|LJ": if (i, j) in loop_s and lines[i][j] in "|LJ":
cnt += 1 cnt += 1
if VERBOSE: if self.files:
for i in range(len(lines)): rows = [["." for _j in range(len(lines[0]))] for _i in range(len(lines))]
for j in range(len(lines[0])): rows[si][sj] = "\033[91mS\033[0m"
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) for i, j in loop:
print(f"answer 2 is {answer_2}") rows[i][j] = lines[i][j]
for i, j in inside:
rows[i][j] = "\033[92mI\033[0m"
self.files.create(
"output.txt", "\n".join("".join(row) for row in rows).encode(), True
)
yield len(inside)

View File

@ -1,8 +1,13 @@
import sys from typing import Any, Iterator
import numpy as np import numpy as np
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
data = np.array([[c == "#" for c in line] for line in lines]) data = np.array([[c == "#" for c in line] for line in lines])
@ -11,7 +16,6 @@ columns = {c for c in range(data.shape[1]) if not data[:, c].any()}
galaxies_y, galaxies_x = np.where(data) # type: ignore galaxies_y, galaxies_x = np.where(data) # type: ignore
def compute_total_distance(expansion: int) -> int: def compute_total_distance(expansion: int) -> int:
distances: list[int] = [] distances: list[int] = []
for g1 in range(len(galaxies_y)): for g1 in range(len(galaxies_y)):
@ -31,11 +35,8 @@ def compute_total_distance(expansion: int) -> int:
distances.append(dx + dy) distances.append(dx + dy)
return sum(distances) return sum(distances)
# part 1 # part 1
answer_1 = compute_total_distance(2) yield compute_total_distance(2)
print(f"answer 1 is {answer_1}")
# part 2 # part 2
answer_2 = compute_total_distance(1000000) yield compute_total_distance(1000000)
print(f"answer 2 is {answer_2}")

View File

@ -1,9 +1,7 @@
import os
import sys
from functools import lru_cache from functools import lru_cache
from typing import Iterable from typing import Any, Iterable, Iterator
VERBOSE = os.getenv("AOC_VERBOSE") == "True" from ..base import BaseSolver
@lru_cache @lru_cache
@ -77,31 +75,29 @@ def compute_possible_arrangements(
) )
def compute_all_possible_arrangements(lines: Iterable[str], repeat: int) -> int: class Solver(BaseSolver):
def compute_all_possible_arrangements(
self, lines: Iterable[str], repeat: int
) -> int:
count = 0 count = 0
if VERBOSE: for i_line, line in enumerate(lines):
from tqdm import tqdm self.logger.info(f"processing line {i_line}: {line}...")
lines = tqdm(lines)
for line in lines:
parts = line.split(" ") parts = line.split(" ")
count += compute_possible_arrangements( count += compute_possible_arrangements(
tuple(filter(len, "?".join(parts[0] for _ in range(repeat)).split("."))), tuple(
filter(len, "?".join(parts[0] for _ in range(repeat)).split("."))
),
tuple(int(c) for c in parts[1].split(",")) * repeat, tuple(int(c) for c in parts[1].split(",")) * repeat,
) )
return count return count
def solve(self, input: str) -> Iterator[Any]:
lines = sys.stdin.read().splitlines() lines = input.splitlines()
# part 1 # part 1
answer_1 = compute_all_possible_arrangements(lines, 1) yield self.compute_all_possible_arrangements(lines, 1)
print(f"answer 1 is {answer_1}")
# part 2 # part 2
answer_2 = compute_all_possible_arrangements(lines, 5) yield self.compute_all_possible_arrangements(lines, 5)
print(f"answer 2 is {answer_2}")

View File

@ -1,5 +1,6 @@
import sys from typing import Any, Callable, Iterator, Literal
from typing import Callable, Literal
from ..base import BaseSolver
def split(block: list[str], axis: Literal[0, 1], count: int) -> int: def split(block: list[str], axis: Literal[0, 1], count: int) -> int:
@ -25,19 +26,18 @@ def split(block: list[str], axis: Literal[0, 1], count: int) -> int:
return 0 return 0
blocks = [block.splitlines() for block in sys.stdin.read().split("\n\n")] class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
blocks = [block.splitlines() for block in input.split("\n\n")]
# part 1 # part 1
answer_1 = sum( yield sum(
split(block, axis=1, count=0) + 100 * split(block, axis=0, count=0) split(block, axis=1, count=0) + 100 * split(block, axis=0, count=0)
for block in blocks for block in blocks
) )
print(f"answer 1 is {answer_1}")
# part 2 # part 2
answer_2 = sum( yield sum(
split(block, axis=1, count=1) + 100 * split(block, axis=0, count=1) split(block, axis=1, count=1) + 100 * split(block, axis=0, count=1)
for block in blocks for block in blocks
) )
print(f"answer 2 is {answer_2}")

View File

@ -1,10 +1,9 @@
import sys from typing import Any, Iterator, TypeAlias
from typing import TypeAlias
from ..base import BaseSolver
RockGrid: TypeAlias = list[list[str]] RockGrid: TypeAlias = list[list[str]]
rocks0 = [list(line) for line in sys.stdin.read().splitlines()]
def slide_rocks_top(rocks: RockGrid) -> RockGrid: def slide_rocks_top(rocks: RockGrid) -> RockGrid:
top = [0 if c == "." else 1 for c in rocks[0]] top = [0 if c == "." else 1 for c in rocks[0]]
@ -34,13 +33,17 @@ def cycle(rocks: RockGrid) -> RockGrid:
return rocks return rocks
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
rocks0 = [list(line) for line in input.splitlines()]
rocks = slide_rocks_top([[c for c in r] for r in rocks0]) rocks = slide_rocks_top([[c for c in r] for r in rocks0])
# part 1 # part 1
answer_1 = sum( yield sum(
(len(rocks) - i) * sum(1 for c in row if c == "O") for i, row in enumerate(rocks) (len(rocks) - i) * sum(1 for c in row if c == "O")
for i, row in enumerate(rocks)
) )
print(f"answer 1 is {answer_1}")
# part 2 # part 2
rocks = rocks0 rocks = rocks0
@ -61,8 +64,7 @@ cycle_length = i_cycle - cycle_start
ci = cycle_start + (N - cycle_start) % cycle_length - 1 ci = cycle_start + (N - cycle_start) % cycle_length - 1
answer_2 = sum( yield sum(
(len(rocks) - i) * sum(1 for c in row if c == "O") (len(rocks) - i) * sum(1 for c in row if c == "O")
for i, row in enumerate(cycles[ci]) for i, row in enumerate(cycles[ci])
) )
print(f"answer 2 is {answer_2}")

View File

@ -1,16 +1,19 @@
import sys
from functools import reduce from functools import reduce
from typing import Any, Iterator
steps = sys.stdin.read().strip().split(",") from ..base import BaseSolver
def _hash(s: str) -> int: def _hash(s: str) -> int:
return reduce(lambda v, u: ((v + ord(u)) * 17) % 256, s, 0) return reduce(lambda v, u: ((v + ord(u)) * 17) % 256, s, 0)
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
steps = input.split(",")
# part 1 # part 1
answer_1 = sum(map(_hash, steps)) yield sum(map(_hash, steps))
print(f"answer 1 is {answer_1}")
# part 2 # part 2
boxes: list[dict[str, int]] = [{} for _ in range(256)] boxes: list[dict[str, int]] = [{} for _ in range(256)]
@ -23,9 +26,8 @@ for step in steps:
label = step[:-1] label = step[:-1]
boxes[_hash(label)].pop(label, None) boxes[_hash(label)].pop(label, None)
answer_2 = sum( yield sum(
i_box * i_lens * length i_box * i_lens * length
for i_box, box in enumerate(boxes, start=1) for i_box, box in enumerate(boxes, start=1)
for i_lens, length in enumerate(box.values(), start=1) for i_lens, length in enumerate(box.values(), start=1)
) )
print(f"answer 2 is {answer_2}")

View File

@ -1,8 +1,6 @@
import os from typing import Any, Iterator, Literal, TypeAlias, cast
import sys
from typing import Literal, TypeAlias, cast
VERBOSE = os.getenv("AOC_VERBOSE") == "True" from ..base import BaseSolver
CellType: TypeAlias = Literal[".", "|", "-", "\\", "/"] CellType: TypeAlias = Literal[".", "|", "-", "\\", "/"]
Direction: TypeAlias = Literal["R", "L", "U", "D"] Direction: TypeAlias = Literal["R", "L", "U", "D"]
@ -78,19 +76,25 @@ def propagate(
return beams return beams
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
layout: list[list[CellType]] = [ layout: list[list[CellType]] = [
[cast(CellType, col) for col in row] for row in sys.stdin.read().splitlines() [cast(CellType, col) for col in row] for row in input.splitlines()
] ]
beams = propagate(layout, (0, 0), "R") beams = propagate(layout, (0, 0), "R")
if VERBOSE: if self.files:
print("\n".join(["".join("#" if col else "." for col in row) for row in beams])) self.files.create(
"beams.txt",
"\n".join(
"".join("#" if col else "." for col in row) for row in beams
).encode(),
True,
)
# part 1 # part 1
answer_1 = sum(sum(map(bool, row)) for row in beams) yield sum(sum(map(bool, row)) for row in beams)
print(f"answer 1 is {answer_1}")
# part 2 # part 2
n_rows, n_cols = len(layout), len(layout[0]) n_rows, n_cols = len(layout), len(layout[0])
@ -103,8 +107,7 @@ for col in range(n_cols):
cases.append(((0, col), "D")) cases.append(((0, col), "D"))
cases.append(((n_rows - 1, col), "U")) cases.append(((n_rows - 1, col), "U"))
answer_2 = max( yield max(
sum(sum(map(bool, row)) for row in propagate(layout, start, direction)) sum(sum(map(bool, row)) for row in propagate(layout, start, direction))
for start, direction in cases for start, direction in cases
) )
print(f"answer 2 is {answer_2}")

View File

@ -1,13 +1,11 @@
from __future__ import annotations from __future__ import annotations
import heapq import heapq
import os
import sys
from collections import defaultdict from collections import defaultdict
from dataclasses import dataclass from dataclasses import dataclass
from typing import Literal, TypeAlias from typing import Any, Iterator, Literal, TypeAlias
VERBOSE = os.getenv("AOC_VERBOSE") == "True" from ..base import BaseSolver
Direction: TypeAlias = Literal[">", "<", "^", "v"] Direction: TypeAlias = Literal[">", "<", "^", "v"]
@ -32,11 +30,17 @@ MAPPINGS: dict[Direction, tuple[int, int, Direction]] = {
} }
class Solver(BaseSolver):
def print_shortest_path( def print_shortest_path(
self,
name: str,
grid: list[list[int]], grid: list[list[int]],
target: tuple[int, int], target: tuple[int, int],
per_cell: dict[tuple[int, int], list[tuple[Label, int]]], per_cell: dict[tuple[int, int], list[tuple[Label, int]]],
): ):
if not self.files:
return
assert len(per_cell[target]) == 1 assert len(per_cell[target]) == 1
label = per_cell[target][0][0] label = per_cell[target][0][0]
@ -66,16 +70,19 @@ def print_shortest_path(
if (r, c) != (prev_label.row, prev_label.col): if (r, c) != (prev_label.row, prev_label.col):
p_grid[r][c] = f"\033[93m{grid[r][c]}\033[0m" p_grid[r][c] = f"\033[93m{grid[r][c]}\033[0m"
p_grid[label.row][label.col] = f"\033[91m{grid[label.row][label.col]}\033[0m" p_grid[label.row][label.col] = (
f"\033[91m{grid[label.row][label.col]}\033[0m"
)
prev_label = label prev_label = label
p_grid[0][0] = f"\033[92m{grid[0][0]}\033[0m" p_grid[0][0] = f"\033[92m{grid[0][0]}\033[0m"
print("\n".join("".join(row) for row in p_grid)) self.files.create(
name, "\n".join("".join(row) for row in p_grid).encode(), True
)
def shortest_many_paths(self, grid: list[list[int]]) -> dict[tuple[int, int], int]:
def shortest_many_paths(grid: list[list[int]]) -> dict[tuple[int, int], int]:
n_rows, n_cols = len(grid), len(grid[0]) n_rows, n_cols = len(grid), len(grid[0])
visited: dict[tuple[int, int], tuple[Label, int]] = {} visited: dict[tuple[int, int], tuple[Label, int]] = {}
@ -125,8 +132,9 @@ def shortest_many_paths(grid: list[list[int]]) -> dict[tuple[int, int], int]:
return {(r, c): visited[r, c][1] for r in range(n_rows) for c in range(n_cols)} return {(r, c): visited[r, c][1] for r in range(n_rows) for c in range(n_cols)}
def shortest_path( def shortest_path(
self,
name: str,
grid: list[list[int]], grid: list[list[int]],
min_straight: int, min_straight: int,
max_straight: int, max_straight: int,
@ -215,19 +223,16 @@ def shortest_path(
), ),
) )
if VERBOSE: self.print_shortest_path(f"shortest-path_{name}.txt", grid, target, per_cell)
print_shortest_path(grid, target, per_cell)
return per_cell[target][0][1] return per_cell[target][0][1]
def solve(self, input: str) -> Iterator[Any]:
data = [[int(c) for c in r] for r in sys.stdin.read().splitlines()] data = [[int(c) for c in r] for r in input.splitlines()]
estimates = shortest_many_paths(data) estimates = self.shortest_many_paths(data)
# part 1 # part 1
answer_1 = shortest_path(data, 1, 3, lower_bounds=estimates) yield self.shortest_path("answer_1", data, 1, 3, lower_bounds=estimates)
print(f"answer 1 is {answer_1}")
# part 2 # part 2
answer_2 = shortest_path(data, 4, 10, lower_bounds=estimates) yield self.shortest_path("answer_2", data, 4, 10, lower_bounds=estimates)
print(f"answer 2 is {answer_2}")

View File

@ -1,5 +1,6 @@
import sys from typing import Any, Iterator, Literal, TypeAlias, cast
from typing import Literal, TypeAlias, cast
from ..base import BaseSolver
Direction: TypeAlias = Literal["R", "L", "U", "D"] Direction: TypeAlias = Literal["R", "L", "U", "D"]
@ -33,17 +34,19 @@ def polygon(values: list[tuple[Direction, int]]) -> tuple[list[tuple[int, int]],
return corners, perimeter return corners, perimeter
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
# part 1 # part 1
answer_1 = area( yield area(
*polygon([(cast(Direction, (p := line.split())[0]), int(p[1])) for line in lines]) *polygon(
[(cast(Direction, (p := line.split())[0]), int(p[1])) for line in lines]
)
) )
print(f"answer 1 is {answer_1}")
# part 2 # part 2
answer_2 = area( yield area(
*polygon( *polygon(
[ [
(DIRECTIONS[int((h := line.split()[-1])[-2])], int(h[2:-2], 16)) (DIRECTIONS[int((h := line.split()[-1])[-2])], int(h[2:-2], 16))
@ -51,4 +54,3 @@ answer_2 = area(
] ]
) )
) )
print(f"answer 2 is {answer_2}")

View File

@ -1,13 +1,8 @@
import logging
import operator import operator
import os
import sys
from math import prod from math import prod
from typing import Literal, TypeAlias, cast from typing import Any, Iterator, Literal, TypeAlias, cast
VERBOSE = os.getenv("AOC_VERBOSE") == "True" from ..base import BaseSolver
logging.basicConfig(level=logging.INFO if VERBOSE else logging.WARNING)
Category: TypeAlias = Literal["x", "m", "a", "s"] Category: TypeAlias = Literal["x", "m", "a", "s"]
Part: TypeAlias = dict[Category, int] Part: TypeAlias = dict[Category, int]
@ -22,7 +17,8 @@ Check: TypeAlias = tuple[Category, Literal["<", ">"], int] | None
Workflow: TypeAlias = list[tuple[Check, str]] Workflow: TypeAlias = list[tuple[Check, str]]
def accept(workflows: dict[str, Workflow], part: Part) -> bool: class Solver(BaseSolver):
def accept(self, workflows: dict[str, Workflow], part: Part) -> bool:
workflow = "in" workflow = "in"
decision: bool | None = None decision: bool | None = None
@ -42,8 +38,7 @@ def accept(workflows: dict[str, Workflow], part: Part) -> bool:
return decision return decision
def propagate(self, workflows: dict[str, Workflow], start: PartWithBounds) -> int:
def propagate(workflows: dict[str, Workflow], start: PartWithBounds) -> int:
def _fmt(meta: PartWithBounds) -> str: def _fmt(meta: PartWithBounds) -> str:
return "{" + ", ".join(f"{k}={v}" for k, v in meta.items()) + "}" return "{" + ", ".join(f"{k}={v}" for k, v in meta.items()) + "}"
@ -52,13 +47,13 @@ def propagate(workflows: dict[str, Workflow], start: PartWithBounds) -> int:
) -> int: ) -> int:
count = 0 count = 0
if target in workflows: if target in workflows:
logging.info(f" transfer to {target}") self.logger.info(f" transfer to {target}")
queue.append((meta, target)) queue.append((meta, target))
elif target == "A": elif target == "A":
count = prod((high - low + 1) for low, high in meta.values()) count = prod((high - low + 1) for low, high in meta.values())
logging.info(f" accepted ({count})") self.logger.info(f" accepted ({count})")
else: else:
logging.info(" rejected") self.logger.info(" rejected")
return count return count
accepted = 0 accepted = 0
@ -69,24 +64,26 @@ def propagate(workflows: dict[str, Workflow], start: PartWithBounds) -> int:
while queue: while queue:
n_iterations += 1 n_iterations += 1
meta, workflow = queue.pop() meta, workflow = queue.pop()
logging.info(f"{workflow}: {_fmt(meta)}") self.logger.info(f"{workflow}: {_fmt(meta)}")
for check, target in workflows[workflow]: for check, target in workflows[workflow]:
if check is None: if check is None:
logging.info(" end-of-workflow") self.logger.info(" end-of-workflow")
accepted += transfer_or_accept(target, meta, queue) accepted += transfer_or_accept(target, meta, queue)
continue continue
category, sense, value = check category, sense, value = check
bounds, op = meta[category], OPERATORS[sense] bounds, op = meta[category], OPERATORS[sense]
logging.info(f" checking {_fmt(meta)} against {category} {sense} {value}") self.logger.info(
f" checking {_fmt(meta)} against {category} {sense} {value}"
)
if not op(bounds[0], value) and not op(bounds[1], value): if not op(bounds[0], value) and not op(bounds[1], value):
logging.info(" reject, always false") self.logger.info(" reject, always false")
continue continue
if op(meta[category][0], value) and op(meta[category][1], value): if op(meta[category][0], value) and op(meta[category][1], value):
logging.info(" accept, always true") self.logger.info(" accept, always true")
accepted += transfer_or_accept(target, meta, queue) accepted += transfer_or_accept(target, meta, queue)
break break
@ -96,15 +93,15 @@ def propagate(workflows: dict[str, Workflow], start: PartWithBounds) -> int:
meta[category], meta2[category] = (value, high), (low, value - 1) meta[category], meta2[category] = (value, high), (low, value - 1)
else: else:
meta[category], meta2[category] = (low, value), (value + 1, high) meta[category], meta2[category] = (low, value), (value + 1, high)
logging.info(f" split {_fmt(meta2)} ({target}), {_fmt(meta)}") self.logger.info(f" split {_fmt(meta2)} ({target}), {_fmt(meta)}")
accepted += transfer_or_accept(target, meta2, queue) accepted += transfer_or_accept(target, meta2, queue)
logging.info(f"run took {n_iterations} iterations") self.logger.info(f"run took {n_iterations} iterations")
return accepted return accepted
def solve(self, input: str) -> Iterator[Any]:
workflows_s, parts_s = sys.stdin.read().strip().split("\n\n") workflows_s, parts_s = input.split("\n\n")
workflows: dict[str, Workflow] = {} workflows: dict[str, Workflow] = {}
for workflow_s in workflows_s.split("\n"): for workflow_s in workflows_s.split("\n"):
@ -129,12 +126,9 @@ parts: list[Part] = [
{cast(Category, s[0]): int(s[2:]) for s in part_s[1:-1].split(",")} {cast(Category, s[0]): int(s[2:]) for s in part_s[1:-1].split(",")}
for part_s in parts_s.split("\n") for part_s in parts_s.split("\n")
] ]
answer_1 = sum(sum(part.values()) for part in parts if accept(workflows, part)) yield sum(sum(part.values()) for part in parts if self.accept(workflows, part))
print(f"answer 1 is {answer_1}")
# part 2 # part 2
answer_2 = propagate( yield self.propagate(
workflows, {cast(Category, c): (1, 4000) for c in ["x", "m", "a", "s"]} workflows, {cast(Category, c): (1, 4000) for c in ["x", "m", "a", "s"]}
) )
print(f"answer 2 is {answer_2}")

View File

@ -1,13 +1,16 @@
import math import math
import sys from typing import Any, Iterator, Literal, TypeAlias, cast
from typing import Literal, TypeAlias, cast
from ..base import BaseSolver
CubeType: TypeAlias = Literal["red", "blue", "green"] CubeType: TypeAlias = Literal["red", "blue", "green"]
MAX_CUBES: dict[CubeType, int] = {"red": 12, "green": 13, "blue": 14} MAX_CUBES: dict[CubeType, int] = {"red": 12, "green": 13, "blue": 14}
# parse games
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
games: dict[int, list[dict[CubeType, int]]] = {} games: dict[int, list[dict[CubeType, int]]] = {}
for line in filter(bool, lines): for line in filter(bool, lines):
id_part, sets_part = line.split(":") id_part, sets_part = line.split(":")
@ -21,8 +24,7 @@ for line in filter(bool, lines):
for cube_set_s in sets_part.strip().split(";") for cube_set_s in sets_part.strip().split(";")
] ]
# part 1 yield sum(
answer_1 = sum(
id id
for id, set_of_cubes in games.items() for id, set_of_cubes in games.items()
if all( if all(
@ -31,13 +33,11 @@ answer_1 = sum(
for cube, n_cubes in cube_set.items() for cube, n_cubes in cube_set.items()
) )
) )
print(f"answer 1 is {answer_1}")
# part 2 yield sum(
answer_2 = sum(
math.prod( math.prod(
max(cube_set.get(cube, 0) for cube_set in set_of_cubes) for cube in MAX_CUBES 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() for set_of_cubes in games.values()
) )
print(f"answer 2 is {answer_2}")

View File

@ -1,55 +1,41 @@
import logging
import os
import sys
from collections import defaultdict from collections import defaultdict
from math import lcm from math import lcm
from typing import Literal, TypeAlias from typing import Any, Iterator, Literal, TypeAlias
VERBOSE = os.getenv("AOC_VERBOSE") == "True"
logging.basicConfig(level=logging.INFO if VERBOSE else logging.WARNING)
from ..base import BaseSolver
ModuleType: TypeAlias = Literal["broadcaster", "conjunction", "flip-flop"] ModuleType: TypeAlias = Literal["broadcaster", "conjunction", "flip-flop"]
PulseType: TypeAlias = Literal["high", "low"] PulseType: TypeAlias = Literal["high", "low"]
modules: dict[str, tuple[ModuleType, list[str]]] = {}
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
_modules: dict[str, tuple[ModuleType, list[str]]]
for line in lines: def _process(
name, outputs_s = line.split(" -> ") self,
outputs = outputs_s.split(", ")
if name == "broadcaster":
modules["broadcaster"] = ("broadcaster", outputs)
else:
modules[name[1:]] = (
"conjunction" if name.startswith("&") else "flip-flop",
outputs,
)
def process(
start: tuple[str, str, PulseType], start: tuple[str, str, PulseType],
flip_flop_states: dict[str, Literal["on", "off"]], flip_flop_states: dict[str, Literal["on", "off"]],
conjunction_states: dict[str, dict[str, PulseType]], conjunction_states: dict[str, dict[str, PulseType]],
) -> tuple[dict[PulseType, int], dict[str, dict[PulseType, int]]]: ) -> tuple[dict[PulseType, int], dict[str, dict[PulseType, int]]]:
pulses: list[tuple[str, str, PulseType]] = [start] pulses: list[tuple[str, str, PulseType]] = [start]
counts: dict[PulseType, int] = {"low": 0, "high": 0} counts: dict[PulseType, int] = {"low": 0, "high": 0}
inputs: dict[str, dict[PulseType, int]] = defaultdict(lambda: {"low": 0, "high": 0}) inputs: dict[str, dict[PulseType, int]] = defaultdict(
lambda: {"low": 0, "high": 0}
)
logging.info("starting process... ") self.logger.info("starting process... ")
while pulses: while pulses:
input, name, pulse = pulses.pop(0) input, name, pulse = pulses.pop(0)
logging.info(f"{input} -{pulse}-> {name}") self.logger.info(f"{input} -{pulse}-> {name}")
counts[pulse] += 1 counts[pulse] += 1
inputs[name][pulse] += 1 inputs[name][pulse] += 1
if name not in modules: if name not in self._modules:
continue continue
type, outputs = modules[name] type, outputs = self._modules[name]
if type == "broadcaster": if type == "broadcaster":
... ...
@ -77,41 +63,63 @@ def process(
return counts, inputs return counts, inputs
def solve(self, input: str) -> Iterator[Any]:
self._modules = {}
with open("./day20.dot", "w") as fp: lines = input.splitlines()
fp.write("digraph G {\n")
fp.write("rx [shape=circle, color=red, style=filled];\n") for line in lines:
for name, (type, outputs) in modules.items(): name, outputs_s = line.split(" -> ")
outputs = outputs_s.split(", ")
if name == "broadcaster":
self._modules["broadcaster"] = ("broadcaster", outputs)
else:
self._modules[name[1:]] = (
"conjunction" if name.startswith("&") else "flip-flop",
outputs,
)
if self.files:
contents = "digraph G {\n"
contents += "rx [shape=circle, color=red, style=filled];\n"
for name, (type, outputs) in self._modules.items():
if type == "conjunction": if type == "conjunction":
shape = "diamond" shape = "diamond"
elif type == "flip-flop": elif type == "flip-flop":
shape = "box" shape = "box"
else: else:
shape = "circle" shape = "circle"
fp.write(f"{name} [shape={shape}];\n") contents += f"{name} [shape={shape}];\n"
for name, (type, outputs) in modules.items(): for name, (type, outputs) in self._modules.items():
for output in outputs: for output in outputs:
fp.write(f"{name} -> {output};\n") contents += f"{name} -> {output};\n"
fp.write("}\n") contents += "}\n"
self.files.create("day20.dot", contents.encode(), False)
# part 1 # part 1
flip_flop_states: dict[str, Literal["on", "off"]] = { flip_flop_states: dict[str, Literal["on", "off"]] = {
name: "off" for name, (type, _) in modules.items() if type == "flip-flop" name: "off"
for name, (type, _) in self._modules.items()
if type == "flip-flop"
} }
conjunction_states: dict[str, dict[str, PulseType]] = { conjunction_states: dict[str, dict[str, PulseType]] = {
name: {input: "low" for input, (_, outputs) in modules.items() if name in outputs} name: {
for name, (type, _) in modules.items() input: "low"
for input, (_, outputs) in self._modules.items()
if name in outputs
}
for name, (type, _) in self._modules.items()
if type == "conjunction" if type == "conjunction"
} }
counts: dict[PulseType, int] = {"low": 0, "high": 0} counts: dict[PulseType, int] = {"low": 0, "high": 0}
for _ in range(1000): for _ in range(1000):
result, _ = process( result, _ = self._process(
("button", "broadcaster", "low"), flip_flop_states, conjunction_states ("button", "broadcaster", "low"), flip_flop_states, conjunction_states
) )
for pulse in ("low", "high"): for pulse in ("low", "high"):
counts[pulse] += result[pulse] counts[pulse] += result[pulse]
answer_1 = counts["low"] * counts["high"] yield counts["low"] * counts["high"]
print(f"answer 1 is {answer_1}")
# part 2 # part 2
@ -124,23 +132,27 @@ for name in conjunction_states:
conjunction_states[name][input] = "low" conjunction_states[name][input] = "low"
# find the conjunction connected to rx # find the conjunction connected to rx
to_rx = [name for name, (_, outputs) in modules.items() if "rx" in outputs] to_rx = [
name for name, (_, outputs) in self._modules.items() if "rx" in outputs
]
assert len(to_rx) == 1, "cannot handle multiple module inputs for rx" assert len(to_rx) == 1, "cannot handle multiple module inputs for rx"
assert ( assert (
modules[to_rx[0]][0] == "conjunction" self._modules[to_rx[0]][0] == "conjunction"
), "can only handle conjunction as input to rx" ), "can only handle conjunction as input to rx"
to_rx_inputs = [name for name, (_, outputs) in modules.items() if to_rx[0] in outputs] to_rx_inputs = [
name for name, (_, outputs) in self._modules.items() if to_rx[0] in outputs
]
assert all( assert all(
modules[i][0] == "conjunction" and len(modules[i][1]) == 1 for i in to_rx_inputs self._modules[i][0] == "conjunction" and len(self._modules[i][1]) == 1
for i in to_rx_inputs
), "can only handle inversion as second-order inputs to rx" ), "can only handle inversion as second-order inputs to rx"
count = 1 count = 1
cycles: dict[str, int] = {} cycles: dict[str, int] = {}
second: dict[str, int] = {} second: dict[str, int] = {}
while len(second) != len(to_rx_inputs): while len(second) != len(to_rx_inputs):
_, inputs = process( _, inputs = self._process(
("button", "broadcaster", "low"), flip_flop_states, conjunction_states ("button", "broadcaster", "low"), flip_flop_states, conjunction_states
) )
@ -157,5 +169,4 @@ assert all(
second[k] == cycles[k] * 2 for k in to_rx_inputs second[k] == cycles[k] * 2 for k in to_rx_inputs
), "cannot only handle cycles starting at the beginning" ), "cannot only handle cycles starting at the beginning"
answer_2 = lcm(*cycles.values()) yield lcm(*cycles.values())
print(f"answer 2 is {answer_2}")

View File

@ -1,9 +1,6 @@
import logging from typing import Any, Iterator
import os
import sys
VERBOSE = os.getenv("AOC_VERBOSE") == "True" from ..base import BaseSolver
logging.basicConfig(level=logging.INFO if VERBOSE else logging.WARNING)
def reachable( def reachable(
@ -21,25 +18,29 @@ def reachable(
return tiles return tiles
map = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
map = input.splitlines()
start = next( start = next(
(i, j) for i in range(len(map)) for j in range(len(map[i])) if map[i][j] == "S" (i, j)
for i in range(len(map))
for j in range(len(map[i]))
if map[i][j] == "S"
) )
# part 1 # part 1
answer_1 = len(reachable(map, {start}, 6 if len(map) < 20 else 64)) yield len(reachable(map, {start}, 6 if len(map) < 20 else 64))
print(f"answer 1 is {answer_1}")
# part 2 # part 2
# the initial map is a square and contains an empty rhombus whose diameter is the size # the initial map is a square and contains an empty rhombus whose diameter is
# of the map, and has only empty cells around the middle row and column # the size of the map, and has only empty cells around the middle row and column
# #
# after ~n/2 steps, the first map is filled with a rhombus, after that we get a bigger # after ~n/2 steps, the first map is filled with a rhombus, after that we get a
# rhombus every n steps # bigger rhombus every n steps
# #
# we are going to find the number of cells reached for the initial rhombus, n steps # we are going to find the number of cells reached for the initial rhombus, n
# after and n * 2 steps after # steps after and n * 2 steps after
# #
cycle = len(map) cycle = len(map)
rhombus = (len(map) - 3) // 2 + 1 rhombus = (len(map) - 3) // 2 + 1
@ -49,7 +50,7 @@ values.append(len(tiles := reachable(map, {start}, rhombus)))
values.append(len(tiles := reachable(map, tiles, cycle))) values.append(len(tiles := reachable(map, tiles, cycle)))
values.append(len(tiles := reachable(map, tiles, cycle))) values.append(len(tiles := reachable(map, tiles, cycle)))
if logging.root.getEffectiveLevel() == logging.INFO: if self.files:
n_rows, n_cols = len(map), len(map[0]) n_rows, n_cols = len(map), len(map[0])
rows = [ rows = [
@ -65,10 +66,11 @@ if logging.root.getEffectiveLevel() == logging.INFO:
if (i // cycle) % 2 == (j // cycle) % 2: if (i // cycle) % 2 == (j // cycle) % 2:
rows[i][j] = f"\033[91m{rows[i][j]}\033[0m" rows[i][j] = f"\033[91m{rows[i][j]}\033[0m"
print("\n".join("".join(row) for row in rows)) self.files.create(
"cycle.txt", "\n".join("".join(row) for row in rows).encode(), True
)
self.logger.info(f"values to fit: {values}")
logging.info(f"values to fit: {values}")
# version 1: # version 1:
# #
@ -100,31 +102,31 @@ logging.info(f"values to fit: {values}")
# depending on the number of cycles, either A or B will be in the center # depending on the number of cycles, either A or B will be in the center
# #
counts = [ # counts = [
[ # [
sum( # sum(
(i, j) in tiles # (i, j) in tiles
for i in range(ci * cycle, (ci + 1) * cycle) # for i in range(ci * cycle, (ci + 1) * cycle)
for j in range(cj * cycle, (cj + 1) * cycle) # for j in range(cj * cycle, (cj + 1) * cycle)
) # )
for cj in range(-2, 3) # for cj in range(-2, 3)
] # ]
for ci in range(-2, 3) # for ci in range(-2, 3)
] # ]
radius = (26501365 - rhombus) // cycle - 1 # radius = (26501365 - rhombus) // cycle - 1
A = counts[2][2] if radius % 2 == 0 else counts[2][1] # A = counts[2][2] if radius % 2 == 0 else counts[2][1]
B = counts[2][2] if radius % 2 == 1 else counts[2][1] # B = counts[2][2] if radius % 2 == 1 else counts[2][1]
answer_2 = ( # answer_2 = (
(radius + 1) * A # (radius + 1) * A
+ radius * B # + radius * B
+ 2 * radius * (radius + 1) // 2 * A # + 2 * radius * (radius + 1) // 2 * A
+ 2 * radius * (radius - 1) // 2 * B # + 2 * radius * (radius - 1) // 2 * B
+ sum(counts[i][j] for i, j in ((0, 2), (-1, 2), (2, 0), (2, -1))) # + sum(counts[i][j] for i, j in ((0, 2), (-1, 2), (2, 0), (2, -1)))
+ sum(counts[i][j] for i, j in ((0, 1), (0, 3), (-1, 1), (-1, 3))) * (radius + 1) # + sum(counts[i][j] for i, j in ((0, 1), (0, 3), (-1, 1), (-1, 3)))
+ sum(counts[i][j] for i, j in ((1, 1), (1, 3), (-2, 1), (-2, 3))) * radius # * (radius + 1)
) # + sum(counts[i][j] for i, j in ((1, 1), (1, 3), (-2, 1), (-2, 3))) * radius
print(f"answer 2 (v1) is {answer_2}") # )
# version 2: fitting a polynomial # version 2: fitting a polynomial
# #
@ -145,5 +147,4 @@ y1, y2, y3 = values
a, b, c = (y1 + y3) // 2 - y2, 2 * y2 - (3 * y1 + y3) // 2, y1 a, b, c = (y1 + y3) // 2 - y2, 2 * y2 - (3 * y1 + y3) // 2, y1
n = (26501365 - rhombus) // cycle n = (26501365 - rhombus) // cycle
answer_2 = a * n * n + b * n + c yield a * n * n + b * n + c
print(f"answer 2 (v2) is {answer_2}")

View File

@ -1,23 +1,20 @@
import itertools import itertools
import logging
import os
import string import string
import sys
from collections import defaultdict from collections import defaultdict
from typing import Any, Iterator
VERBOSE = os.getenv("AOC_VERBOSE") == "True" from ..base import BaseSolver
logging.basicConfig(level=logging.INFO if VERBOSE else logging.WARNING)
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
def _name(i: int) -> str: def _name(i: int) -> str:
if len(lines) < 26: if len(lines) < 26:
return string.ascii_uppercase[i] return string.ascii_uppercase[i]
return f"B{i:04d}" return f"B{i:04d}"
def build_supports( def build_supports(
bricks: list[tuple[tuple[int, int, int], tuple[int, int, int]]], bricks: list[tuple[tuple[int, int, int], tuple[int, int, int]]],
) -> tuple[dict[int, set[int]], dict[int, set[int]]]: ) -> tuple[dict[int, set[int]], dict[int, set[int]]]:
@ -42,7 +39,9 @@ def build_supports(
# 2. compute the bricks that supports any brick # 2. compute the bricks that supports any brick
supported_by: dict[int, set[int]] = {} supported_by: dict[int, set[int]] = {}
supports: dict[int, set[int]] = {i_brick: set() for i_brick in range(len(bricks))} supports: dict[int, set[int]] = {
i_brick: set() for i_brick in range(len(bricks))
}
for i_brick, ((sx, sy, sz), (ex, ey, ez)) in enumerate(bricks): for i_brick, ((sx, sy, sz), (ex, ey, ez)) in enumerate(bricks):
name = _name(i_brick) name = _name(i_brick)
@ -51,7 +50,7 @@ def build_supports(
for x, y in itertools.product(range(sx, ex + 1), range(sy, ey + 1)) for x, y in itertools.product(range(sx, ex + 1), range(sy, ey + 1))
if (v := levels[x, y, sz - 1]) != -1 if (v := levels[x, y, sz - 1]) != -1
} }
logging.info( self.logger.info(
f"{name} supported by {', '.join(map(_name, supported_by[i_brick]))}" f"{name} supported by {', '.join(map(_name, supported_by[i_brick]))}"
) )
@ -60,7 +59,6 @@ def build_supports(
return supported_by, supports return supported_by, supports
bricks: list[tuple[tuple[int, int, int], tuple[int, int, int]]] = [] bricks: list[tuple[tuple[int, int, int], tuple[int, int, int]]] = []
for line in lines: for line in lines:
bricks.append( bricks.append(
@ -75,11 +73,10 @@ bricks = sorted(bricks, key=lambda b: b[0][-1])
supported_by, supports = build_supports(bricks) supported_by, supports = build_supports(bricks)
# part 1 # part 1
answer_1 = len(bricks) - sum( yield len(bricks) - sum(
any(len(supported_by[supported]) == 1 for supported in supports_to) any(len(supported_by[supported]) == 1 for supported in supports_to)
for supports_to in supports.values() for supports_to in supports.values()
) )
print(f"answer 1 is {answer_1}")
# part 2 # part 2
falling_in_chain: dict[int, set[int]] = {} falling_in_chain: dict[int, set[int]] = {}
@ -100,12 +97,13 @@ for i_brick in range(len(bricks)):
for d_brick in to_disintegrate: for d_brick in to_disintegrate:
for supported in supports[d_brick]: for supported in supports[d_brick]:
supported_by_copy[supported] = supported_by_copy[supported] - {d_brick} supported_by_copy[supported] = supported_by_copy[supported] - {
d_brick
}
if not supported_by_copy[supported]: if not supported_by_copy[supported]:
to_disintegrate_v.add(supported) to_disintegrate_v.add(supported)
to_disintegrate = to_disintegrate_v to_disintegrate = to_disintegrate_v
answer_2 = sum(len(falling) for falling in falling_in_chain.values()) yield sum(len(falling) for falling in falling_in_chain.values())
print(f"answer 2 is {answer_2}")

View File

@ -1,11 +1,7 @@
import logging
import os
import sys
from collections import defaultdict from collections import defaultdict
from typing import Literal, Sequence, TypeAlias, cast from typing import Any, Iterator, Literal, Sequence, TypeAlias, cast
VERBOSE = os.getenv("AOC_VERBOSE") == "True" from ..base import BaseSolver
logging.basicConfig(level=logging.INFO if VERBOSE else logging.WARNING)
DirectionType: TypeAlias = Literal[">", "<", "^", "v", ".", "#"] DirectionType: TypeAlias = Literal[">", "<", "^", "v", ".", "#"]
@ -35,6 +31,7 @@ def neighbors(
Compute neighbors of the given node, ignoring the given set of nodes and considering Compute neighbors of the given node, ignoring the given set of nodes and considering
that you can go uphill on slopes. that you can go uphill on slopes.
""" """
n_rows, n_cols = len(grid), len(grid[0])
i, j = node i, j = node
for di, dj in Neighbors[grid[i][j]]: for di, dj in Neighbors[grid[i][j]]:
@ -103,7 +100,9 @@ def compute_direct_links(
return direct return direct
class Solver(BaseSolver):
def longest_path_length( def longest_path_length(
self,
links: dict[tuple[int, int], list[tuple[tuple[int, int], int]]], links: dict[tuple[int, int], list[tuple[tuple[int, int], int]]],
start: tuple[int, int], start: tuple[int, int],
target: tuple[int, int], target: tuple[int, int],
@ -129,29 +128,29 @@ def longest_path_length(
if reach not in path if reach not in path
) )
logging.info(f"processed {nodes} nodes") self.logger.info(f"processed {nodes} nodes")
return max_distance return max_distance
def solve(self, input: str) -> Iterator[Any]:
lines = cast(list[Sequence[DirectionType]], input.splitlines())
lines = cast(list[Sequence[DirectionType]], sys.stdin.read().splitlines())
n_rows, n_cols = len(lines), len(lines[0])
start = (0, 1) start = (0, 1)
target = (len(lines) - 1, len(lines[0]) - 2) target = (len(lines) - 1, len(lines[0]) - 2)
direct_links: dict[tuple[int, int], list[tuple[tuple[int, int], int]]] = { direct_links: dict[tuple[int, int], list[tuple[tuple[int, int], int]]] = {
start: [reachable(lines, start, target)] start: [reachable(lines, start, target)]
} }
direct_links.update(compute_direct_links(lines, direct_links[start][0][0], target)) direct_links.update(
compute_direct_links(lines, direct_links[start][0][0], target)
)
# part 1 # part 1
answer_1 = longest_path_length(direct_links, start, target) yield self.longest_path_length(direct_links, start, target)
print(f"answer 1 is {answer_1}")
# part 2 # part 2
reverse_links: dict[tuple[int, int], list[tuple[tuple[int, int], int]]] = defaultdict( reverse_links: dict[tuple[int, int], list[tuple[tuple[int, int], int]]] = (
list defaultdict(list)
) )
for origin, links in direct_links.items(): for origin, links in direct_links.items():
for destination, distance in links: for destination, distance in links:
@ -163,5 +162,4 @@ links = {
for k in direct_links.keys() | reverse_links.keys() for k in direct_links.keys() | reverse_links.keys()
} }
answer_2 = longest_path_length(links, start, target) yield self.longest_path_length(links, start, target)
print(f"answer 2 is {answer_2}")

View File

@ -1,9 +1,14 @@
import sys from typing import Any, Iterator
import numpy as np import numpy as np
from sympy import solve, symbols from sympy import solve, symbols
lines = sys.stdin.read().splitlines() from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
positions = np.array( positions = np.array(
[[int(c) for c in line.split("@")[0].strip().split(", ")] for line in lines] [[int(c) for c in line.split("@")[0].strip().split(", ")] for line in lines]
@ -13,7 +18,9 @@ velocities = np.array(
) )
# part 1 # part 1
low, high = [7, 27] if len(positions) <= 10 else [200000000000000, 400000000000000] low, high = (
[7, 27] if len(positions) <= 10 else [200000000000000, 400000000000000]
)
count = 0 count = 0
for i1, (p1, v1) in enumerate(zip(positions, velocities)): for i1, (p1, v1) in enumerate(zip(positions, velocities)):
@ -31,9 +38,7 @@ for i1, (p1, v1) in enumerate(zip(positions, velocities)):
c = p + np.expand_dims(t, 1) * r c = p + np.expand_dims(t, 1) * r
count += np.all((low <= c) & (c <= high), axis=1).sum() count += np.all((low <= c) & (c <= high), axis=1).sum()
yield count
answer_1 = count
print(f"answer 1 is {answer_1}")
# part 2 # part 2
# equation # equation
@ -54,10 +59,11 @@ x, y, z, vx, vy, vz, *ts = symbols(
) )
equations = [] equations = []
for i1, ti in zip(range(n), ts): for i1, ti in zip(range(n), ts):
for p, d, pi, di in zip((x, y, z), (vx, vy, vz), positions[i1], velocities[i1]): for p, d, pi, di in zip(
(x, y, z), (vx, vy, vz), positions[i1], velocities[i1]
):
equations.append(p + ti * d - pi - ti * di) equations.append(p + ti * d - pi - ti * di)
print(equations)
r = solve(equations, [x, y, z, vx, vy, vz] + list(ts), dict=True)[0] r = solve(equations, [x, y, z, vx, vy, vz] + list(ts), dict=True)[0]
yield r[x] + r[y] + r[z]
answer_2 = r[x] + r[y] + r[z]
print(f"answer 2 is {answer_2}")

View File

@ -1,14 +1,19 @@
import sys # pyright: reportUnknownMemberType=false
from typing import Any, Iterator
import networkx as nx import networkx as nx
from ..base import BaseSolver
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
components = { components = {
(p := line.split(": "))[0]: p[1].split() for line in sys.stdin.read().splitlines() (p := line.split(": "))[0]: p[1].split() for line in input.splitlines()
} }
targets = {t for c in components for t in components[c] if t not in components} graph: "nx.Graph[str]" = nx.Graph()
graph = nx.Graph()
graph.add_edges_from((u, v) for u, vs in components.items() for v in vs) graph.add_edges_from((u, v) for u, vs in components.items() for v in vs)
cut = nx.minimum_edge_cut(graph) cut = nx.minimum_edge_cut(graph)
@ -17,9 +22,4 @@ graph.remove_edges_from(cut)
c1, c2 = nx.connected_components(graph) c1, c2 = nx.connected_components(graph)
# part 1 # part 1
answer_1 = len(c1) * len(c2) yield len(c1) * len(c2)
print(f"answer 1 is {answer_1}")
# part 2
answer_2 = ...
print(f"answer 2 is {answer_2}")

View File

@ -1,10 +1,15 @@
import string import string
import sys
from collections import defaultdict from collections import defaultdict
from typing import Any, Iterator
from ..base import BaseSolver
NOT_A_SYMBOL = "." + string.digits NOT_A_SYMBOL = "." + string.digits
lines = sys.stdin.read().splitlines()
class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
values: list[int] = [] values: list[int] = []
gears: dict[tuple[int, int], list[int]] = defaultdict(list) gears: dict[tuple[int, int], list[int]] = defaultdict(list)
@ -44,10 +49,5 @@ for i, line in enumerate(lines):
# continue starting from the end of the number # continue starting from the end of the number
j = k j = k
# part 1 yield sum(values)
answer_1 = sum(values) yield sum(v1 * v2 for v1, v2 in filter(lambda vs: len(vs) == 2, gears.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}")

View File

@ -1,5 +1,7 @@
import sys
from dataclasses import dataclass from dataclasses import dataclass
from typing import Any, Iterator
from ..base import BaseSolver
@dataclass(frozen=True) @dataclass(frozen=True)
@ -9,7 +11,9 @@ class Card:
values: list[int] values: list[int]
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
cards: list[Card] = [] cards: list[Card] = []
for line in lines: for line in lines:
@ -26,8 +30,7 @@ for line in lines:
winnings = [sum(1 for n in card.values if n in card.numbers) for card in cards] winnings = [sum(1 for n in card.values if n in card.numbers) for card in cards]
# part 1 # part 1
answer_1 = sum(2 ** (winning - 1) for winning in winnings if winning > 0) yield sum(2 ** (winning - 1) for winning in winnings if winning > 0)
print(f"answer 1 is {answer_1}")
# part 2 # part 2
card2cards = {i: list(range(i + 1, i + w + 1)) for i, w in enumerate(winnings)} card2cards = {i: list(range(i + 1, i + w + 1)) for i, w in enumerate(winnings)}
@ -38,4 +41,4 @@ for i in range(len(cards)):
for j in card2cards[i]: for j in card2cards[i]:
card2values[j] += card2values[i] card2values[j] += card2values[i]
print(f"answer 2 is {sum(card2values.values())}") yield sum(card2values.values())

View File

@ -1,5 +1,6 @@
import sys from typing import Any, Iterator, Sequence
from typing import Sequence
from ..base import BaseSolver
MAP_ORDER = [ MAP_ORDER = [
"seed", "seed",
@ -12,55 +13,6 @@ MAP_ORDER = [
"location", "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( def find_range(
values: tuple[int, int], map: list[tuple[int, int, int]] values: tuple[int, int], map: list[tuple[int, int, int]]
@ -111,19 +63,71 @@ def find_range(
return ranges return ranges
def find_location_ranges(seeds: Sequence[tuple[int, int]]) -> Sequence[tuple[int, int]]: class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.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]]] = {}
def find_location_ranges(
seeds: Sequence[tuple[int, int]],
) -> Sequence[tuple[int, int]]:
for map1, map2 in zip(MAP_ORDER[:-1], MAP_ORDER[1:]): 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])] seeds = [s2 for s1 in seeds for s2 in find_range(s1, maps[map1, map2])]
return seeds return seeds
# 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
# part 1 - use find_range() with range of length 1 # part 1 - use find_range() with range of length 1
seeds_p1 = [(int(s), 1) for s in lines[0].split(":")[1].strip().split()] 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)) yield min(start for start, _ in find_location_ranges(seeds_p1))
print(f"answer 1 is {answer_1}")
# # part 2 # # part 2
parts = lines[0].split(":")[1].strip().split() parts = lines[0].split(":")[1].strip().split()
seeds_p2 = [(int(s), int(e)) for s, e in zip(parts[::2], parts[1::2])] 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)) yield min(start for start, _ in find_location_ranges(seeds_p2))
print(f"answer 2 is {answer_2}")

View File

@ -1,5 +1,7 @@
import math import math
import sys from typing import Any, Iterator
from ..base import BaseSolver
def extreme_times_to_beat(time: int, distance: int) -> tuple[int, int]: def extreme_times_to_beat(time: int, distance: int) -> tuple[int, int]:
@ -25,23 +27,23 @@ def extreme_times_to_beat(time: int, distance: int) -> tuple[int, int]:
return t1, t2 return t1, t2
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
# part 1 # part 1
times = list(map(int, lines[0].split()[1:])) times = list(map(int, lines[0].split()[1:]))
distances = list(map(int, lines[1].split()[1:])) distances = list(map(int, lines[1].split()[1:]))
answer_1 = math.prod( yield math.prod(
t2 - t1 + 1 t2 - t1 + 1
for t1, t2 in ( for t1, t2 in (
extreme_times_to_beat(time, distance) extreme_times_to_beat(time, distance)
for time, distance in zip(times, distances) for time, distance in zip(times, distances)
) )
) )
print(f"answer 1 is {answer_1}")
# part 2 # part 2
time = int(lines[0].split(":")[1].strip().replace(" ", "")) time = int(lines[0].split(":")[1].strip().replace(" ", ""))
distance = int(lines[1].split(":")[1].strip().replace(" ", "")) distance = int(lines[1].split(":")[1].strip().replace(" ", ""))
t1, t2 = extreme_times_to_beat(time, distance) t1, t2 = extreme_times_to_beat(time, distance)
answer_2 = t2 - t1 + 1 yield t2 - t1 + 1
print(f"answer 2 is {answer_2}")

View File

@ -1,5 +1,7 @@
import sys
from collections import Counter, defaultdict from collections import Counter, defaultdict
from typing import Any, Iterator
from ..base import BaseSolver
class HandTypes: class HandTypes:
@ -32,18 +34,17 @@ def extract_key(hand: str, values: dict[str, int], joker: str = "0") -> tuple[in
) )
lines = sys.stdin.read().splitlines() class Solver(BaseSolver):
def solve(self, input: str) -> Iterator[Any]:
lines = input.splitlines()
cards = [(t[0], int(t[1])) for line in lines if (t := line.split())] cards = [(t[0], int(t[1])) for line in lines if (t := line.split())]
# part 1 # part 1
values = {card: value for value, card in enumerate("23456789TJQKA")} values = {card: value for value, card in enumerate("23456789TJQKA")}
cards.sort(key=lambda cv: extract_key(cv[0], values=values)) cards.sort(key=lambda cv: extract_key(cv[0], values=values))
answer_1 = sum(rank * value for rank, (_, value) in enumerate(cards, start=1)) yield sum(rank * value for rank, (_, value) in enumerate(cards, start=1))
print(f"answer 1 is {answer_1}")
# part 2 # part 2
values = {card: value for value, card in enumerate("J23456789TQKA")} values = {card: value for value, card in enumerate("J23456789TQKA")}
cards.sort(key=lambda cv: extract_key(cv[0], values=values, joker="J")) cards.sort(key=lambda cv: extract_key(cv[0], values=values, joker="J"))
answer_2 = sum(rank * value for rank, (_, value) in enumerate(cards, start=1)) yield sum(rank * value for rank, (_, value) in enumerate(cards, start=1))
print(f"answer 2 is {answer_2}")

Some files were not shown because too many files have changed in this diff Show More