Parnic
37928d7138
This one's part 1 destroyed me. I had a very difficult time, trying 3 separate approaches, each one of which worked for most cases but eventually fell apart on the 5th sample or my actual puzzle input. I ended up reading a bunch of hints from the subreddit which eventually led me to a blog post describing this solution, which wasn't far off from what I had, but I was overcomplicating things. Part 2 surprised me in that I expected a simple "ore available divided by ore needed for 1 fuel" would solve it, but of course the excess chemicals produced in any given reaction meant that it wasn't that simple. So this approach uses that estimate as a lower bound, since it always underestimates, and then bisects its way to the solution (starting at the lower bound and adding 1 each time took too long). I'm sure a smarter upper bound choice could lower the runtime of this by a bit, but runtime isn't bad enough right now for me to try any additional optimizations.
18 lines
289 B
Go
18 lines
289 B
Go
package utilities
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func MapKeys[T comparable, U any](m map[T]U) []T {
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r := make([]T, 0, len(m))
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for k := range m {
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r = append(r, k)
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}
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return r
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}
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func MapValues[T comparable, U any](m map[T]U) []U {
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r := make([]U, 0, len(m))
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for _, v := range m {
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r = append(r, v)
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}
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return r
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}
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