2023.23
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challenges/2023/23-aLongWalk/README.md
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challenges/2023/23-aLongWalk/README.md
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# [Day 23: A Long Walk](https://adventofcode.com/2023/day/23)
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Part 2 is *not*:
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* 4717 (too low)
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* 4826 (too low)
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* 5350 (too low)
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challenges/2023/23-aLongWalk/main.py
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challenges/2023/23-aLongWalk/main.py
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import sys
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import gridutil.grid as gu
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import gridutil.coord as cu
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from collections import namedtuple
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from collections.abc import Generator
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def parse(instr: str) -> gu.Grid:
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return gu.parse(instr)
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def get_terminal_points(forest: gu.Grid) -> tuple[cu.Coordinate, cu.Coordinate]:
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start_pos = None
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end_pos = None
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max_y = gu.get_max_y(forest)
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for x in range(gu.get_max_x(forest) + 1):
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if forest[(x, 0)] == "." and start_pos is None:
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start_pos = cu.Coordinate(x, 0)
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if forest[(x, max_y)] == "." and end_pos is None:
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end_pos = cu.Coordinate(x, max_y)
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if start_pos is None:
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raise ValueError("No open cell found on the first row of the forest")
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if end_pos is None:
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raise ValueError("No open cell found on the last row of the forest")
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return start_pos, end_pos
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def trace_path(
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forest: gu.Grid,
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start_pos: cu.Coordinate,
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end_pos: cu.Coordinate,
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history: set[cu.Coordinate] | None = None,
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n: int = 0,
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disallowed_moves: dict[str, cu.Direction] | None = None,
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) -> int:
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if history is None:
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history = set()
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if disallowed_moves is None:
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disallowed_moves = {}
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cursor = start_pos
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while cursor != end_pos:
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history.add(cursor)
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allowable = []
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for direction in cu.Direction:
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target_pos = cu.add(cursor, direction.delta())
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if target_pos not in forest or target_pos in history:
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continue
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val = forest[target_pos]
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if val == "#" or direction == disallowed_moves.get(val):
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continue
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allowable.append(target_pos)
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n += 1
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match len(allowable):
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case 0:
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return -1
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case 1:
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cursor = allowable[0]
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case _:
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highest = max(
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trace_path(
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forest,
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x,
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end_pos,
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history=history.copy(),
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n=n,
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disallowed_moves=disallowed_moves,
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)
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for x in allowable
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)
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return highest
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return n
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def one(instr: str):
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forest = parse(instr)
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start_pos, end_pos = get_terminal_points(forest)
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return trace_path(
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forest,
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start_pos,
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end_pos,
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disallowed_moves={
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"^": cu.Direction.Down,
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"v": cu.Direction.Up,
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">": cu.Direction.Left,
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"<": cu.Direction.Right,
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},
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)
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DistanceTo: tuple[cu.Coordinate, int] = namedtuple(
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"DistanceTo", ["coordinate", "distance"]
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)
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def neighbours(
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forest: gu.Grid, pos: cu.Coordinate
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) -> Generator[cu.Coordinate, None, None]:
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for direction in cu.Direction:
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target = cu.add(pos, direction.delta())
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if target not in forest or forest[target] == "#":
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continue
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yield target
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def build_graph(
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forest: gu.Grid, start_pos: cu.Coordinate
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) -> dict[cu.Coordinate, list[DistanceTo]]:
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junctions = [start_pos]
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graph = {}
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while junctions:
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st = junctions.pop(0)
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possible_next = list(neighbours(forest, st))
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routes = []
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for start_point in possible_next:
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n = 0
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cursor = start_point
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history = set([start_point, st])
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get_next_steps = lambda: list(
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filter(
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lambda x: x not in history,
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neighbours(forest, cursor),
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)
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)
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next_steps = get_next_steps()
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while len(next_steps) == 1:
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n += 1
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cursor = next_steps[0]
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history.add(cursor)
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next_steps = get_next_steps()
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routes.append(DistanceTo(cursor, n + 1))
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if cursor not in graph:
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junctions.append(cursor)
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graph[st] = routes
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return graph
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def display_graph(graph: dict[cu.Coordinate, list[DistanceTo]]):
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import networkx as nx
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import matplotlib.pyplot as plt
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G = nx.Graph()
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for node in graph:
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for (end, length) in graph[node]:
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G.add_edge(node, end, weight=length)
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nx.draw(G, with_labels=True, font_weight="bold")
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plt.show()
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def trace_graph_path(
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graph: dict[cu.Coordinate, list[DistanceTo]],
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start_pos: cu.Coordinate,
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end_pos: cu.Coordinate,
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history: set[cu.Coordinate] | None = None,
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n: int = 0,
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) -> int:
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if history is None:
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history = set()
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if start_pos == end_pos:
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return n
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history.add(start_pos)
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adjacent = list(filter(lambda x: x.coordinate not in history, graph[start_pos]))
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if len(adjacent) == 0:
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return -1
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for edge in adjacent:
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if edge.coordinate == end_pos:
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return edge.distance + n
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return max(
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trace_graph_path(
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graph, p.coordinate, end_pos, history=history.copy(), n=n + p.distance
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)
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for p in adjacent
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)
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def two(instr: str):
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forest = parse(instr)
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start_pos, end_pos = get_terminal_points(forest)
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graph = build_graph(forest, start_pos)
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# display_graph(graph)
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return trace_graph_path(graph, start_pos, end_pos)
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def _debug(*args, **kwargs):
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kwargs["file"] = sys.stderr
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print(*args, **kwargs)
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if __name__ == "__main__":
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if len(sys.argv) < 2 or sys.argv[1] not in ["1", "2"]:
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print("Missing day argument", file=sys.stderr)
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sys.exit(1)
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inp = sys.stdin.read().strip()
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if sys.argv[1] == "1":
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print(one(inp))
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else:
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print(two(inp))
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challenges/2023/23-aLongWalk/tests.json
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challenges/2023/23-aLongWalk/tests.json
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{
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"1": [
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{
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"is": "94",
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"input": "#.#####################\n#.......#########...###\n#######.#########.#.###\n###.....#.>.>.###.#.###\n###v#####.#v#.###.#.###\n###.>...#.#.#.....#...#\n###v###.#.#.#########.#\n###...#.#.#.......#...#\n#####.#.#.#######.#.###\n#.....#.#.#.......#...#\n#.#####.#.#.#########v#\n#.#...#...#...###...>.#\n#.#.#v#######v###.###v#\n#...#.>.#...>.>.#.###.#\n#####v#.#.###v#.#.###.#\n#.....#...#...#.#.#...#\n#.#########.###.#.#.###\n#...###...#...#...#.###\n###.###.#.###v#####v###\n#...#...#.#.>.>.#.>.###\n#.###.###.#.###.#.#v###\n#.....###...###...#...#\n#####################.#\n\n"
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}
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],
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"2": [
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{
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"is": "154",
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"input": "#.#####################\n#.......#########...###\n#######.#########.#.###\n###.....#.>.>.###.#.###\n###v#####.#v#.###.#.###\n###.>...#.#.#.....#...#\n###v###.#.#.#########.#\n###...#.#.#.......#...#\n#####.#.#.#######.#.###\n#.....#.#.#.......#...#\n#.#####.#.#.#########v#\n#.#...#...#...###...>.#\n#.#.#v#######v###.###v#\n#...#.>.#...>.>.#.###.#\n#####v#.#.###v#.#.###.#\n#.....#...#...#.#.#...#\n#.#########.###.#.#.###\n#...###...#...#...#.###\n###.###.#.###v#####v###\n#...#...#.#.>.>.#.>.###\n#.###.###.#.###.#.#v###\n#.....###...###...#...#\n#####################.#\n\n"
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}
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]
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}
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| 20 - Pulse Propagation | ☆ ☆ | Python | Too much reading. |
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| 21 - Step Counter | ★ ☆ | Python | ??? |
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| 22 - Sand Slabs | ★ ★ | Python | I maintain that OpenSCAD is the best AoC 3D debugging tool |
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| 23 - A Long Walk | ★ ★ | Python | Both parts here could theorietcially be done with the same implementation but I couldn't be bothered to rework the part 2 solution to work for part 1 as well. |
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{"day": 19, "part": 2, "runner": "py", "min": 0.024805068969726562, "max": 0.03318047523498535, "avg": 0.027637341022491456, "n": 100}
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{"day": 22, "part": 1, "runner": "py", "min": 7.400631666183472, "max": 7.400631666183472, "avg": 7.400631666183472, "n": 1}
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{"day": 22, "part": 2, "runner": "py", "min": 30.386138439178467, "max": 30.386138439178467, "avg": 30.386138439178467, "n": 1}
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{"day": 23, "part": 1, "runner": "py", "min": 2.006169557571411, "max": 2.006169557571411, "avg": 2.006169557571411, "n": 1}
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{"day": 23, "part": 2, "runner": "py", "min": 33.72923398017883, "max": 33.72923398017883, "avg": 33.72923398017883, "n": 1}
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return False
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def __eq__(self, x):
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if type(x) != Direction:
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return False
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return self.value == x.value
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def __hash__(self):
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