Day 14: Parabolic Reflector Dish

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  • hades
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    7 months ago

    Python

    Also on Github

    import numpy as np
    
    from .solver import Solver
    
    
    def _tilt(row: list[int], reverse: bool = False) -> list[int]:
      res = row[::-1] if reverse else row[:]
      rock_x = 0
      for x, item in enumerate(res):
        if item == 1:
          rock_x = x + 1
        if item == 2:
          if rock_x < x:
            res[rock_x] = 2
            res[x] = 0
          rock_x += 1
      return res[::-1] if reverse else res
    
    class Day14(Solver):
      data: np.ndarray
    
      def __init__(self):
        super().__init__(14)
    
      def presolve(self, input: str):
        lines = input.splitlines()
        self.data = np.zeros((len(lines), len(lines[0])), dtype=np.int8)
        for x, line in enumerate(lines):
          for y, char in enumerate(line):
            if char == '#':
              self.data[x, y] = 1
            elif char == 'O':
              self.data[x, y] = 2
    
      def solve_first_star(self) -> int:
        for y in range(self.data.shape[1]):
          self.data[:, y] = _tilt(self.data[:, y].tolist())
        return sum((self.data.shape[0] - x) * (self.data[x] == 2).sum() for x in range(self.data.shape[0]))
    
      def solve_second_star(self) -> int:
        seen = {}
        order = []
        for i in range(1_000_000_000):
          order += [self.data.copy()]
          s = self.data.tobytes()
          if s in seen:
            loop_size = i - seen[s]
            remainder = (1_000_000_000 - i) % loop_size
            self.data = order[seen[s] + remainder]
            break
          seen[s] = i
          for y in range(self.data.shape[1]):
            self.data[:, y] = _tilt(self.data[:, y].tolist())
          for x in range(self.data.shape[0]):
            self.data[x, :] = _tilt(self.data[x, :].tolist())
          for y in range(self.data.shape[1]):
            self.data[:, y] = _tilt(self.data[:, y].tolist(), reverse=True)
          for x in range(self.data.shape[0]):
            self.data[x, :] = _tilt(self.data[x, :].tolist(), reverse=True)
        return sum((self.data.shape[0] - x) * (self.data[x] == 2).sum() for x in range(self.data.shape[0]))
    

    33.938 line-seconds (ranks 3rd hardest after days 8 and 12 so far).

    • Barsukis@lemmy.ml
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      6 months ago

      If you use numpy you could just take advantage of np.rot90 function to do the tilting for you:)