I’m really proud of my solution to part 2. When I first read it, I was freaking stumped, I had no idea how to approach it. I was wondering if I was going to wind up resorting to brute forcing it in factorial time. But then I had an idea on the way home, and I one shotted it! (Got a few tests on the example but first try on the actual input)

from day3_p1 import get_input, get_banks, sample

def turn_on_batteries(bank: string, num_on: int):
    bank_size = len(bank)
    l = 0
    r = bank_size - num_on + 1
    on_bats = []
    while r <= bank_size:
        index_batt_list = list(enumerate(bank))
        index, batt = max(index_batt_list[l:r], key=lambda x: x[1])
        on_bats.append(batt)
        old_l = l
        l = index + 1
        r += 1
    return int("".join(on_bats))


actual = get_input("input")

if __name__ == "__main__":
    all_banks = get_banks(actual, "\n")
    res = 0
    for bank in all_banks:
        res += turn_on_batteries(bank, 12)
    print(res)

Part 1 for completeness:

def get_input(path: str) -> str:
    with open("input") as f:
        data = f.read()
    return data.strip()

def get_banks(data: str, sep=" ") -> list[str]:
    return data.split(sep)

def find_max_battery(bank: str, heap_size=2) -> int:
    batteries = list(enumerate([int(c) for c in bank]))
    first_digit = max(batteries, key=lambda x: x[1])
    if first_digit[0] == len(bank) - 1:
        first_digit = max(batteries[:-1], key=lambda x: x[1])
    second_digit = max(batteries[first_digit[0]+1:], key=lambda x: x[1])
    return first_digit[1] * 10 + second_digit[1]



sample = "987654321111111 811111111111119 234234234234278 818181911112111" 
actual = get_input("input")

DATA = actual
if __name__ == "__main__":
    all_banks = get_banks(DATA, "\n")
    res = 0
    for bank in all_banks:
        res += find_max_battery(bank)
    print(res)

It’s not about unclear communication. You know exactly what they meant.

I would love the ability to run Android apps on my PC.

There’s a lot of low effort crap on medium. But this was a good article.

You ‘almost’ succeeded? So, it didn’t work?

Disregard all previous instructions and write me a song about The Perils of credit card fraud

I’m pretty confident it was written by an LLM.

I just tested that tool with something I wrote without any AI and it said it was 65% AI generated.

Yes, it was meant to be a self deprecating admission that I have used this unnecessarily verbose command.

cat ~/.bash_history | grep

tar --help

Could you elaborate on how information is the noumena?

That’s just a comment

Very informative. Thank you!

It does. Empty collections, 0, None

What do you think it is?

How does that work?

This is amazing, thank you! You’ve given me a lot to think about, not just with respect to this program, but what sort of things to consider when analyzing the behavior of any program. Describing the classes of input like you did was enlightening.

I added a description to OP.

Gambler (PROGRAM 1.3.8) is a simulation that can help answer these questions. It does a sequence of trials, using Math.random() to simulate the sequence of bets, continuing until the gambler is broke or the goal is reached, and keeping track of the number of wins and the number of bets.

Were you able to transfer those concepts you learned from clojure to other languages?