This commit is contained in:
Sebastian Seedorf
2020-12-10 15:17:09 +01:00
parent 25256f438f
commit be938144bf
3 changed files with 160 additions and 0 deletions

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day10/input.txt Normal file
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day10/part1.py Normal file
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import numpy as np
lines = sorted(int(x.strip()) for x in open("input.txt"))
lines.append(lines[-1]+3)
lines.insert(0, 0)
lines = np.array(lines)
diff = lines[1:] - lines[:-1]
unique, counts = np.unique(diff, return_counts=True)
cnt = dict(zip(unique, counts))
print(cnt)
print(cnt[1]*cnt[3])

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day10/part2.py Normal file
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import numpy as np
import operator
from functools import reduce
lines = sorted(int(x.strip()) for x in open("input.txt"))
lines.append(lines[-1]+3)
lines.insert(0, 0)
lines = np.array(lines)
diff = lines[1:] - lines[:-1]
one_count = 0
possibilities = []
one_cache = {}
def count_one_possibilities(one_cnt: int):
if one_cnt not in one_cache:
if one_cnt <= 1:
one_cache[one_cnt] = 1
else:
one_cache[one_cnt] = sum(count_one_possibilities(less) for less in range(max(0, one_cnt - 3), one_cnt))
return one_cache[one_cnt]
def prod(iterable):
return reduce(operator.mul, iterable, 1)
# only 3 and 1 differences are available
# 3 has to be taken / calculate possibilities for 1 hops
for num in diff:
if num == 1:
one_count += 1
elif num == 3:
factor = count_one_possibilities(one_count)
if factor > 1:
possibilities.append(factor)
one_count = 0
print(prod(possibilities)) # 64793042714624
print(one_cache) # {0: 1, 1: 1, 2: 2, 3: 4, 4: 7}