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feat(aoc-2023): Add day two
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CaedenPH committed Dec 2, 2023
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91 changes: 91 additions & 0 deletions Advent of Code/2023/day_02.py
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from collections import defaultdict, deque
from math import prod
import re
from typing import TYPE_CHECKING

import aoc_helper
from aoc_helper import (
Grid,
PrioQueue,
SparseGrid,
decode_text,
extract_ints,
extract_iranges,
extract_ranges,
extract_uints,
frange,
irange,
iter,
list,
map,
range,
search,
tail_call,
)

raw = aoc_helper.fetch(2, 2023)


def parse_raw(raw: str):
return raw


data = parse_raw(raw)


# providing this default is somewhat of a hack - there isn't any other way to
# force type inference to happen, AFAIK - but this won't work with standard
# collections (list, set, dict, tuple)
def part_one(data=data):
total = 0

maxes = {
"red": 12,
"green": 13,
"blue": 14
}

for game in data.splitlines():
cubes = game.split(';')
failed = False

for cube in cubes:
for colour in ("red", "blue", "green"):
match = re.search(fr"(\d+) {colour}", cube)
number = int(match.group(1)) if match else 0
if number > maxes[colour]:
failed = True

if not failed:
total += int(game[4:game.index(":")])
return total


aoc_helper.lazy_test(day=2, year=2023, parse=parse_raw, solution=part_one)


# providing this default is somewhat of a hack - there isn't any other way to
# force type inference to happen, AFAIK - but this won't work with standard
# collections (list, set, dict, tuple)
def part_two(data=data):
total = 0

for game in data.splitlines():
cubes = game.split(';')
largest_colours = {"green": 0, "red": 0, "blue": 0}

for cube in cubes:
for colour in ("red", "blue", "green"):
match = re.search(fr"(\d+) {colour}", cube)
number = int(match.group(1)) if match else 0
if number > largest_colours[colour]:
largest_colours[colour] = number

total += prod(largest_colours.values())
return total


aoc_helper.lazy_test(day=2, year=2023, parse=parse_raw, solution=part_two)

aoc_helper.lazy_submit(day=2, year=2023, solution=part_one, data=data)
aoc_helper.lazy_submit(day=2, year=2023, solution=part_two, data=data)

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