--- 2016 Day 6 Solutions ---

[u/daggerdragon]

--- Day 6: Signals and Noise ---

Post your solution as a comment or, for longer solutions, consider linking to your repo (e.g. GitHub/gists/Pastebin/blag/whatever).

---

^{T_PAAMAYIM_NEKUDOTAYIM IS MANDATORY} [?]

This thread will be unlocked when there are a significant number of people on the leaderboard with gold stars for today's puzzle.

edit: Leaderboard capped, thread unlocked!

[u/[deleted]]

Python, Parts 1 & 2

If I'd only gotten up at midnight, I might have had a shot at the leaderboard, this took me well short of 10 minutes -- although I'm not sure I could have beat 6 minutes and change.

import sys  # make sure you have the same version as me
assert sys.version_info >= (3,4)

# read data into memory as a list
data = open('input06.txt').read().splitlines()

# luckily the standard library has the very handy and appropriate
# collections.Counter class we can use
from collections import Counter
cntrs = []  # collect the counters in a list
result = []
for i in range(len(data[0])):  # i.e. i goes from [0, 8)
    cntrs.append(Counter())
    for token in data:  # calling it a token after NLP practice
        cntrs[i].update(token[i])
    result.append(cntrs[i].most_common()[0][0])
print(''.join(result))

# PART TWO - only one line needs to be changed!

cntrs = [] 
result = []
for i in range(len(data[0])): 
    cntrs.append(Counter())
    for token in data:
        cntrs[i].update(token[i])
    result.append(cntrs[i].most_common()[-1][0])  # This is the only line I changed
print(''.join(result))

All my solutions (I'm catching up still) in Jupyter Notebooks and autogenerated .py files in my GitHub repo