Day 9: Mirage Maintenance

Megathread guidelines

  • Keep top level comments as only solutions, if you want to say something other than a solution put it in a new post. (replies to comments can be whatever)
  • Code block support is not fully rolled out yet but likely will be in the middle of the event. Try to share solutions as both code blocks and using something such as https://topaz.github.io/paste/ , pastebin, or github (code blocks to future proof it for when 0.19 comes out and since code blocks currently function in some apps and some instances as well if they are running a 0.19 beta)

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  • pnutzh4x0rA
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    1 year ago

    Language: Python

    Part 1

    Pretty straightforward. Took advantage of itertools.pairwise.

    def predict(history: list[int]) -> int:
        sequences = [history]
        while len(set(sequences[-1])) > 1:
            sequences.append([b - a for a, b in itertools.pairwise(sequences[-1])])
        return sum(sequence[-1] for sequence in sequences)
    
    def main(stream=sys.stdin) -> None:
        histories   = [list(map(int, line.split())) for line in stream]
        predictions = [predict(history) for history in histories]
        print(sum(predictions))
    
    Part 2

    Only thing that changed from the first part was that I used functools.reduce to take the differences of the first elements of the generated sequences (rather than the sum of the last elements for Part 1).

    def predict(history: list[int]) -> int:
        sequences = [history]
        while len(set(sequences[-1])) > 1:
            sequences.append([b - a for a, b in itertools.pairwise(sequences[-1])])
        return functools.reduce(
            lambda a, b: b - a, [sequence[0] for sequence in reversed(sequences)]
        )
    
    def main(stream=sys.stdin) -> None:
        histories   = [list(map(int, line.split())) for line in stream]
        predictions = [predict(history) for history in histories]
        print(sum(predictions))
    

    GitHub Repo