from helpers import *
input_stripped = read_day(day)
lines = input_stripped.split('\n')

sample_lines = '''
Sabqponm
abcryxxl
accszExk
acctuvwj
abdefghi'''.strip().split('\n')


def make_heightmap(lines: list[str]) -> tuple[ArrayLike, ArrayLike, ArrayLike]:
	heightmap = np.zeros((len(lines[0]), len(lines)), dtype=dtype)
	for y, line in enumerate(lines):
		for x, c in enumerate(line):
			if c == 'S':
				heightmap[x,y] = 0
				start = np.array([x,y], dtype=dtype)
			elif c == 'E':
				heightmap[x,y] = 25
				end = np.array([x,y], dtype=dtype)
			else:
				heightmap[x,y] = ord(c) - ord('a')
	return heightmap, start, end


def make_reversed_cell_costs(position, heightmap):
	init_val = 9_999_999
	costs = np.full_like(heightmap, init_val)
	pos_t = tuple(position)
	costs[pos_t] = 0
	curr_positions = {pos_t}
	while len(curr_positions) > 0:
		next_positions = set()
		for pos_t in curr_positions:
			n_h_limit = heightmap[pos_t] - 1
			n_cost = costs[pos_t] + 1
			for d in directions_array:
				next_t = (pos_t[0] + d[0], pos_t[1] + d[1])
				if (0 <= next_t[0] < heightmap.shape[0]) and (0 <= next_t[1] < heightmap.shape[1]):
					hn = heightmap[next_t]
					if n_h_limit <= hn and costs[next_t] > n_cost:
						costs[next_t] = n_cost
						next_positions.add(next_t)
		curr_positions = next_positions
	return costs

# heightmap, start, end = make_heightmap(sample_lines)
heightmap, start, end = make_heightmap(lines)
rev_costs = make_reversed_cell_costs(end, heightmap)

print(f'Part 1: {rev_costs[*start]}')
print(f'Part 2: {rev_costs[heightmap == 0].min()}')