-
Notifications
You must be signed in to change notification settings - Fork 16
/
Copy pathday22.py
executable file
·188 lines (136 loc) · 3.41 KB
/
day22.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
#!/usr/bin/env python3
from utils.all import *
from functools import lru_cache
advent.setup(2018, 22)
fin = advent.get_input()
# print(*fin)
timer_start()
##################################################
@lru_cache(maxsize=2**18)
def geo(x, y):
if (x, y) in ((0, 0), global_target):
return 0
if y == 0:
return x*16807
if x == 0:
return y*48271
return erosion(x-1, y) * erosion(x, y-1)
def erosion(x, y):
return (geo(x, y) + depth) % 20183
def risk(x, y):
return erosion(x, y) % 3
@lru_cache(maxsize=4096)
def adj(pos):
xy, tool = pos
x, y = xy
# for t in canuse[cave[xy]]:
# if t != tool:
# yield xy, t
yield xy, othertool[cave[xy], tool]
for dx, dy in ((0, 1), (0, -1), (1, 0), (-1, 0)):
a = (x + dx, y + dy)
if a in cave and tool in canuse[cave[a]]:
yield a, tool
@lru_cache(maxsize=4096)
def dist(a, b):
# log('calc dist{} --- {}\n', a, b)
axy, at = a
bxy, bt = b
if axy == bxy and at == bt:
return 0
if at == bt:
return 1
if axy == bxy:
return 7
raise Exception('wat')
@lru_cache(maxsize=4096)
def reachable(pos):
for a in adj(pos):
yield a, dist(pos, a)
def explore(source, targets):
q = set()
distances = {}
for v, r in cave.items():
for t in canuse[r]:
distances[v, t] = 1e99
q.add((v, t))
distances[source] = 0
while q:
u = min(q, key=distances.__getitem__)
q.remove(u)
log('node {} dist {}\n', u, distances[u])
for v, delta in reachable(u):
log(' can reach {} in {} minutes\n', v, delta)
alt = distances[u] + delta
if alt < distances[v]:
distances[v] = alt
return min(distances[t] for t in targets)
ROCKY, WET, NARROW = range(3)
TORCH, CLIMBGEAR, NEITHER = 'TCN'#range(3)
TOOLS = (TORCH, CLIMBGEAR, NEITHER)
canuse = {
ROCKY: {CLIMBGEAR, TORCH},
WET: {CLIMBGEAR, NEITHER},
NARROW: {TORCH, NEITHER}
}
othertool = {
(ROCKY, TORCH): CLIMBGEAR,
(ROCKY, CLIMBGEAR): TORCH,
(WET, NEITHER): CLIMBGEAR,
(WET, CLIMBGEAR): NEITHER,
(NARROW, TORCH): NEITHER,
(NARROW, NEITHER): TORCH
}
depth, tx, ty = read_ints(fin)
global_target = (tx, ty)
log('depth: {} target: {}\n', depth, global_target)
tot = 0
cavew, caveh = 8*tx, 8*ty
cave = {}
# cavemap = []
for x in range(cavew):
# if 0 <= x <= cavew:
# cavemap.append([])
for y in range(caveh):
cave[x, y] = risk(x, y)
# for tool in canuse[r]:
# cave[x, y, tool] = r
# if 0 <= y <= ty + 10:
# cavemap[x].append('.=|'[r])
if 0 <= x <= tx and 0 <= y <= ty:
tot += cave[x, y]
# log('T: {}\n', cavemap[tx][ty])
# cavemap[tx][ty] = 'T'
# dump_char_matrix(cavemap, transpose=True)
# 68796924 not right
# 76502334 not right
advent.submit_answer(1, tot)
source = ((0, 0), TORCH)
targets = set()
for tool in canuse[cave[tx, ty]]:
targets.add(((tx, ty), tool))
graph = nx.Graph()
graph.add_node(source)
graph.add_edge(source, (source[0], othertool[cave[source[0]], source[1]]), weight=7)
for xy, r in cave.items():
for t in canuse[r]:
n = (xy, t)
graph.add_node(n)
for v, delta in reachable(n):
graph.add_edge(n, v, weight=delta)
# dump_iterable(reachable(source))
# ans = explore(source, targets)
pathlens = nx.single_source_dijkstra_path_length(graph, source)
minimum = 1e99
for target in targets:
# log('{}: {}\n', target, pathlens[target])
# dump_iterable(nx.dijkstra_path(graph, source, target))
# log('-'*50 + '\n')
cur = pathlens[target]
if target[1] != TORCH:
cur += 7
if cur < minimum:
minimum = cur
# sys.exit()
# 1052 too high
advent.submit_answer(2, minimum)