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@ -12,36 +12,38 @@ ImageGrid: TypeAlias = NDArray[np.uint8]
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class Solver(BaseSolver):
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def print_grid(self, grid: Grid, robot: Robot):
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if self.verbose:
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def print_grid(self, name: str, grid: Grid, robot: Robot):
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if self.files:
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grid = [[c for c in row] for row in grid]
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grid[robot[0]][robot[1]] = "\033[31;1m@\033[00m"
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for row in grid:
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self.logger.info("".join(row))
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self.files.create(
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name, "\n".join("".join(row) for row in grid).encode(), True
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)
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def convert_grid(self, grid: Grid, robot: Robot) -> ImageGrid:
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import numpy as np
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grid = [[c for c in row] for row in grid]
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grid[robot[0]][robot[1]] = "@"
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return np.array(
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[
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[
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# {
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# "#": [255, 255, 255],
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# "@": [255, 0, 0],
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# "O": [0, 255, 0],
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# "[": [0, 0, 255],
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# "]": [0, 0, 255],
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# ".": [0, 0, 0],
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# }[col]
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ord(col)
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for col in row
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]
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for row in grid
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],
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dtype=np.uint8,
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)
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# return np.array(
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# [
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# [
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# # {
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# # "#": [255, 255, 255],
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# # "@": [255, 0, 0],
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# # "O": [0, 255, 0],
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# # "[": [0, 0, 255],
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# # "]": [0, 0, 255],
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# # ".": [0, 0, 0],
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# # }[col]
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# ord(col)
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# for col in row
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# ]
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# for row in grid
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# ],
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# dtype=np.uint8,
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# )
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return np.array(grid)
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def step_part1(self, grid: Grid, move: str, robot: Robot):
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match move:
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@ -141,6 +143,7 @@ class Solver(BaseSolver):
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def run(
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self,
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name: str,
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grid: Grid,
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moves: str,
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fn: Callable[
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@ -162,7 +165,7 @@ class Solver(BaseSolver):
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if generate:
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images.append(self.convert_grid(grid, robot))
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self.print_grid(grid, robot)
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self.print_grid(f"initial_grid_{name}.txt", grid, robot)
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for move in self.progress.wrap(moves):
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self.logger.debug(f"Move '{move}'...")
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@ -171,7 +174,7 @@ class Solver(BaseSolver):
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if generate:
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images.append(self.convert_grid(grid, robot))
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self.print_grid(grid, robot)
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self.print_grid(f"final_grid_{name}.txt", grid, robot)
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return grid, images
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@ -180,6 +183,7 @@ class Solver(BaseSolver):
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moves = "".join(moves.split())
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grid, images = self.run(
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"part1",
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[[c for c in r] for r in grid_s.splitlines()],
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moves,
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self.step_part1,
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@ -193,6 +197,7 @@ class Solver(BaseSolver):
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)
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grid, images = self.run(
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"part2",
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[
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list(
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itertools.chain.from_iterable(
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