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b7cfadf7b1
day 21 python part 2
2022-12-20 22:36:28 -08:00
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cef93e325f
day 21 python part 1 solution
2022-12-20 21:56:12 -08:00
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c4d168689f
day 21 rename some files
2022-12-20 21:38:27 -08:00
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c46feecce9
day 21 go+python solution
2022-12-20 21:35:31 -08:00
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cb4b8295e1
day 20 python cleanup
2022-12-19 22:31:14 -08:00
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009fa446c2
day 20 python solution
2022-12-19 21:34:48 -08:00
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47c10a1027
day 19 more optimizations
2022-12-19 20:53:27 -08:00
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634e0e7eaa
day 19 cleanup
2022-12-19 11:42:47 -08:00
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ee05144644
day 19 part 2 solve
2022-12-19 11:15:09 -08:00
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c572351a00
day 19 solve???
2022-12-19 02:51:40 -08:00
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98ff1e0cf9
day 19 checkpoint
2022-12-19 01:55:09 -08:00
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fd84db7072
day 19 wip
2022-12-18 23:08:55 -08:00
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88040394db
day 18 ivy solution
2022-12-18 17:26:40 -08:00
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772dda0bbc
day 18 python fix a flood fill bug
...
not sure how this ever worked
2022-12-17 22:37:20 -08:00
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4b5b25e56b
day 18 python cleanup
2022-12-17 22:07:34 -08:00
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71958605b6
day 18 python solution
2022-12-17 21:41:26 -08:00
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910da239c0
new A* optimization: worst-case pruning
...
i'm not sure if this has been described in the literature exactly but it
is similar to existing branch-and-bound techniques.
it doesn't speed up the search directly (the number of visited nodes is
the same) but it does cut the queue length down by an order of magnitude
and shave a couple seconds off of day 16, presumably due to reduced memory
pressure or something.
2022-12-17 20:15:25 -08:00
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e9ada04aa9
lib/astar: report final queue length
2022-12-17 19:29:26 -08:00
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e1fb37d229
lib/astar: handle inconsistent heuristics better
...
before pruning a node we've already visited, we need to check if it has
a better cost.
2022-12-17 19:27:28 -08:00
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5a7c8ef732
day 15 svg visualization
2022-12-17 16:36:01 -08:00
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032c1df356
day 16 reshuffle files
2022-12-17 15:29:48 -08:00
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64a09bb238
day 16 hide my shame
2022-12-17 15:29:32 -08:00
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6b0bf5d29b
day 16 sample input
2022-12-17 15:26:04 -08:00
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2e18e87a95
lib/astar: fix return value for failed search
2022-12-17 15:22:18 -08:00
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043a57608d
day 16 python part 2 solve with A*, and cleanup
2022-12-17 15:10:28 -08:00
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bbc4075137
day 17 python tweaks
2022-12-17 13:31:57 -08:00
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8c1696fa32
day 16 speed up search by shrinking the graph
2022-12-17 13:20:30 -08:00
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de987b60db
day 17 python cleanup
2022-12-17 13:20:30 -08:00
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799fefa59a
day 17 python part 2 solve
2022-12-17 13:20:30 -08:00
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db649d4a56
day 17 python refactor
2022-12-17 13:20:20 -08:00
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40b9f86f4c
day 17 part 1 python
2022-12-17 13:20:20 -08:00
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a54304686d
day 16 python alternate solution (astar)
2022-12-17 13:20:20 -08:00
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014b7daf09
day 16 part 2 python, finally
...
ugh
2022-12-17 13:20:20 -08:00
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03710f579a
day 16 python part 1 solve
...
this shouldn't work
2022-12-17 13:19:18 -08:00
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f39fbe1890
day 16 python attempt
...
works on the sample input, doesn't work on the real input
2022-12-17 13:18:50 -08:00
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7b40516b66
day 15 part 2 alternate solution
2022-12-15 12:55:42 -08:00
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2b0ef33a08
day 15 python wip optimizations
2022-12-14 22:50:07 -08:00
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5f76b4e69d
day 15 python part 2
2022-12-14 22:47:37 -08:00
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af21ad12cc
day 15 python part 1
2022-12-14 21:26:18 -08:00
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37e5ab92e0
day 14 python more cleanup
2022-12-14 01:02:53 -08:00
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80cf54d600
day 14 python optimize
2022-12-13 22:18:59 -08:00
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99fa431441
day 14 python cleanup
2022-12-13 22:13:50 -08:00
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96a5961ed4
day 13 python solution
2022-12-13 21:45:47 -08:00
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85e623a9db
day 13 python cleanup
...
convert our less function into a real cmp function
2022-12-13 10:39:36 -08:00
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6c175f2d8e
day 13 python use json instead of eval
...
hat tip to benharri
2022-12-13 10:35:29 -08:00
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10293ec22d
day 13 python solution
2022-12-12 21:23:29 -08:00
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f2fc82c55f
add astar module and alternate solution for day 12
2022-12-12 12:55:37 -08:00
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6421ecf7fa
day 12 python simplify
2022-12-12 11:22:01 -08:00
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e378777cd3
day 12 python tweaks
2022-12-12 11:06:05 -08:00
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6c62ff8a9d
day 12 python solution
2022-12-11 21:57:13 -08:00
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