Attempted continuation of 2023.05.2

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akp 2023-12-10 13:12:23 +00:00
parent 4d6877c17d
commit eb9f84f450
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@ -2,6 +2,8 @@ import sys
import re
from typing import Optional
from dataclasses import dataclass
import math
from functools import reduce
@dataclass
@ -15,6 +17,9 @@ class Transition:
self.src_start = src_start
self.n = n
def get_delta(self) -> int:
return self.dest_start - self.src_start
def get_src_end(self) -> int:
return self.src_start + self.n - 1
@ -74,107 +79,79 @@ def resolve(x: int, level: str, state_transitions, transition_functions) -> int:
return x
def one(instr: str) -> int:
seeds, state_transitions, transition_functions = parse(instr)
def apply_level(transition_functions: dict[str, list[Transition]], level: str, val: int) -> int:
for transition in transition_functions[level]:
if transition.is_applicable_to(val):
return transition.get_next_value(val)
return val
min_location: Optional[int] = None
def apply_transitions(seeds: list[int], state_transitions: dict[str, str], transition_functions: dict[str, list[Transition]]) -> list[int]:
res = []
for item_id in seeds:
item_type = "seed"
while item_type != "location":
for transition in transition_functions[item_type]:
if transition.is_applicable_to(item_id):
item_id = transition.get_next_value(item_id)
break
item_id = apply_level(transition_functions, item_type, item_id)
item_type = state_transitions[item_type]
if min_location is None or item_id < min_location:
min_location = item_id
res.append(item_id)
return min_location
return res
def one(instr: str) -> int:
return min(apply_transitions(*parse(instr)))
def two(instr: str):
seeds, state_transitions, transition_functions = parse(instr)
assert len(seeds) % 2 == 0
# seed_ranges = [(seeds[i], seeds[i+1]) for i in range(0, len(seeds), 2)]
ranges = []
for i in range(0, len(seeds), 2):
ranges.append((seeds[i], seeds[i]+seeds[i+1]-1))
# inverted_states = list(reversed(state_transitions.keys()))
level = "seed"
while level in transition_functions:
_debug(level, ranges)
neoranges = []
# candidates = []
while ranges:
(range_start, range_end) = ranges.pop(0)
# for level in inverted_states:
# for transition in transition_functions[level]:
# candidates += [transition.dest_start, transition.dest_start-1, transition.get_dest_end(), transition.get_dest_end() + 1]
# for i, ev in enumerate(candidates):
# for transition in transition_functions[level]:
# if transition.is_inverse_applicable_to(ev):
# candidates[i] = transition.get_previous_value(ev)
modded = False
for fn in transition_functions[level]:
fn_start = fn.src_start
fn_end = fn.get_src_end()
delta = fn.get_delta()
# candidates = list(filter(lambda x: x > 0, set(candidates))) # deduplicate and filter weird values
# _debug(candidates)
# trimmed_candidates = []
# for x in candidates:
# matches_all = False
# for transition in transition_functions["seed"]:
# _debug(transition)
# if transition.dest_start <= x <= transition.get_dest_end():
# matches_all = True
# break
# if matches_all:
# trimmed_candidates.append(x)
# _debug(trimmed_candidates)
# ---
# # Work out min-max seed numbers
# min_seed_id = min(x for x in seeds[::2])
# max_seed_id = max((seeds[i] + seeds[i+1] - 1) for i in range(0, len(seeds), 2))
# vals = []
# for (lower_seed_id, n) in seed_ranges:
# endpoints = [lower_seed_id, lower_seed_id + n - 1]
# level = "seed"
# while level != "location":
# _debug(level, list(sorted(endpoints)))
# transitions = transition_functions[level]
# min_endp, max_endp = min(endpoints), max(endpoints)
# for transition in transitions:
if range_start < fn_start and fn_start <= range_end <= fn_end:
ranges.append((fn_start, range_end))
neoranges.append((range_start + delta, fn_start - 1 + delta))
modded = True
break
# if min_endp < transition.src_start < max_endp:
# endpoints.append(transition.src_start)
if fn_start <= range_start and range_end <= fn_end:
neoranges.append((range_start + delta, range_end + delta))
modded = True
break
# if min_endp < (se := transition.get_src_end()) < max_endp:
# endpoints.append(se)
if fn_start <= range_start <= fn_end and fn_end < range_end:
neoranges.append((range_start + delta, fn_end + delta))
ranges.append((fn_end + 1, range_end))
modded = True
break
# for i, ev in enumerate(endpoints):
# for transition in transitions:
# if transition.is_applicable_to(ev):
# endpoints[i] = transition.get_next_value(ev)
# break
if not modded:
neoranges.append((range_start, range_end))
# level = state_transitions[level]
ranges = neoranges
level = state_transitions[level]
# _debug()
_debug(ranges)
# vals = vals + endpoints
# # _debug(list(sorted(vals)))
# return min(filter(lambda x: x != 0, vals))
return min(map(lambda x: x[0], ranges))
def _debug(*args, **kwargs):
@ -190,4 +167,4 @@ if __name__ == "__main__":
if sys.argv[1] == "1":
print(one(inp))
else:
print(two(inp))
print(two(inp))