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Use generator for day 1
Loved your day 1 blog post and code!
I noticed a quick way to improve the performance, by turning a list into a generator since only one answer is needed to be computed (in case there is more than one answer) and the search for more than the first answer can be deferred. Here's my benchmark and result:
import timeit
import math
from itertools import combinations
def get_answer(numbers: list[int], combos: int = 2) -> int:
result = [pair for pair in combinations(numbers, combos) if sum(pair) == 2020]
multiplied = math.prod(result[0])
return multiplied
def generator_get_answer(numbers: list[int], combos: int = 2) -> int:
result = (pair for pair in combinations(numbers, combos) if sum(pair) == 2020)
multiplied = math.prod(next(result))
return multiplied
if __name__ == "__main__":
with open("input.txt") as f:
numbers = [int(item.strip()) for item in f.readlines()]
n = 100
print(f"list: {timeit.timeit(lambda: get_answer(numbers, combos=3), number=n)}")
print(
f"generator: {timeit.timeit(lambda: generator_get_answer(numbers, combos=3), number=n)}"
)
Result:
list: 25.837099567
generator: 21.768024056000005
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