Day 22 part 1.
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Mikael CAPELLE
parent
6ade69ac35
commit
d8bb659e78
139
2022/day22.py
139
2022/day22.py
@ -5,8 +5,8 @@ import sys
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import numpy as np
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EMPTY = 0
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VOID = 1
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VOID = 0
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EMPTY = 1
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WALL = 2
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TILE_FROM_CHAR = {" ": VOID, ".": EMPTY, "#": WALL}
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@ -16,7 +16,7 @@ board_map_s, direction_s = sys.stdin.read().split("\n\n")
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# board
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board_lines = board_map_s.splitlines()
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max_line = max(len(line) for line in board_lines)
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board_map = np.array(
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board = np.array(
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[
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[TILE_FROM_CHAR[c] for c in row] + [VOID] * (max_line - len(row))
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for row in board_map_s.splitlines()
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@ -27,12 +27,135 @@ directions = [
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int(p1) if p2 else p1 for p1, p2 in re.findall(R"(([0-9])+|L|R)", direction_s)
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]
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invert = False
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y0 = 0
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x0 = np.where(board_map[0] == EMPTY)[0][0]
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r0 = "R"
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print(y0, x0)
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x0 = np.where(board[0] == EMPTY)[0][0]
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r0 = "E"
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if invert:
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board = board[::-1, ::-1]
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y0 = board.shape[0] - 1
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x0 = np.where(board[-1, :] == EMPTY)[0][-1]
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r0 = "W"
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# print(
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# "\n".join(
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# "".join(next(k for k, v in TILE_FROM_CHAR.items() if v == c) for c in row)
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# for row in board
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# )
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# )
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# find on each row and column the first and last non-void
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row_first_non_void = np.argmax(board != VOID, axis=1)
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row_last_non_void = board.shape[1] - np.argmax(board[:, ::-1] != VOID, axis=1) - 1
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col_first_non_void = np.argmax(board != VOID, axis=0)
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col_last_non_void = board.shape[0] - np.argmax(board[::-1, :] != VOID, axis=0) - 1
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print(y0, x0, r0)
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for direction in directions:
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# print(f"{y0} {x0} {r0} ({direction})")
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# r1 = {"N": "S", "S": "N", "W": "E", "E": "W"}[r0]
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# print(f"{board.shape[0] - y0 - 1} {board.shape[1] - x0 - 1} {r1} ({direction})")
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if isinstance(direction, int):
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if r0 == "R":
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x0 = np.argmax(board_map[y0, x0 + 1 :])
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while direction > 0:
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if r0 == "E":
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xi = np.where(board[y0, x0 + 1 : x0 + direction + 1] == WALL)[0]
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# if y0 == 12 and x0 == 81:
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# print(
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# xi,
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# board[y0, x0 + 1 : x0 + direction],
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# board[y0, x0 + direction],
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# )
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if len(xi):
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# print("E1")
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x0 = x0 + xi[0]
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direction = 0
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elif (
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x0 + direction < board.shape[1]
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and board[y0, x0 + direction] == EMPTY
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):
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# print("E2")
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x0 = x0 + direction
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direction = 0
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elif board[y0, row_first_non_void[y0]] == WALL:
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# print("E3")
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x0 = row_last_non_void[y0]
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direction = 0
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else:
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# print("E4")
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direction = direction - (row_last_non_void[y0] - x0) - 1
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x0 = row_first_non_void[y0]
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elif r0 == "S":
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yi = np.where(board[y0 + 1 : y0 + direction + 1, x0] == WALL)[0]
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if len(yi):
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# print("S1")
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y0 = y0 + yi[0]
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direction = 0
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elif (
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y0 + direction < board.shape[0]
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and board[y0 + direction, x0] == EMPTY
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):
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# print("S2")
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y0 = y0 + direction
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direction = 0
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elif board[col_first_non_void[x0], x0] == WALL:
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print("S3")
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y0 = col_last_non_void[x0]
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direction = 0
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else:
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# print("S4")
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direction = direction - (col_last_non_void[x0] - y0) - 1
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y0 = col_first_non_void[x0]
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elif r0 == "W":
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left = max(x0 - direction - 1, 0)
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xi = np.where(board[y0, left:x0] == WALL)[0]
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if len(xi):
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x0 = left + xi[-1] + 1
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direction = 0
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elif x0 - direction >= 0 and board[y0, x0 - direction] == EMPTY:
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x0 = x0 - direction
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direction = 0
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elif board[y0, row_last_non_void[y0]] == WALL:
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x0 = row_first_non_void[y0]
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direction = 0
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else:
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# print("W", x0, row_first_non_void[y0], direction)
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direction = direction - (x0 - row_first_non_void[y0]) - 1
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x0 = row_last_non_void[y0]
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elif r0 == "N":
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top = max(y0 - direction - 1, 0)
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yi = np.where(board[top:y0, x0] == WALL)[0]
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if len(yi):
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y0 = top + yi[-1] + 1
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direction = 0
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elif y0 - direction >= 0 and board[y0 - direction, x0] == EMPTY:
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y0 = y0 - direction
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direction = 0
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elif board[col_last_non_void[x0], x0] == WALL:
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y0 = col_first_non_void[x0]
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direction = 0
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else:
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direction = direction - (y0 - col_first_non_void[x0]) - 1
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y0 = col_last_non_void[x0]
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else:
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r0 = {
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"E": {"L": "N", "R": "S"},
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"N": {"L": "W", "R": "E"},
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"W": {"L": "S", "R": "N"},
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"S": {"L": "E", "R": "W"},
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}[r0][direction]
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if invert:
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print(y0, x0, r0, "->", end=" ")
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x0, y0, r0 = (
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board.shape[1] - x0 - 1,
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board.shape[0] - y0 - 1,
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{"N": "S", "S": "N", "W": "E", "E": "W"}[r0],
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)
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print(y0, x0, r0)
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score = {"E": 0, "S": 1, "W": 2, "N": 3}
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answer_1 = 1000 * (1 + y0) + 4 * (1 + x0) + score[r0]
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print(f"answer 1 is {answer_1}")
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