Advent of Code Data
Speedhackers, get your puzzle data with a single import statement:
from aocd import data
If that sounds too magical, use a simple function call to return your
data in a string:
>>> from aocd import get_data
>>> get_data(day=24, year=2015)
'1\n2\n3\n7\n11\n13\n17\n19\n23\n31...
If you'd just like to print or keep your own raw input files, there's
a script for that:
aocd > input.txt
aocd 13 2018 > day13.txt
Note that aocd
will cache puzzle inputs and answers (including
incorrect guesses) clientside, to save unnecessary requests to the
server.
New in version 2.0.0: Get the example data (and corresponding
answers). From 2022 day 5 there
was:
$ aocd 2022 5 --example
--- Day 5: Supply Stacks ---
https://adventofcode.com/2022/day/5
------------------------------- Example data 1/1 -------------------------------
[D]
[N] [C]
[Z] [M] [P]
1 2 3
move 1 from 2 to 1
move 3 from 1 to 3
move 2 from 2 to 1
move 1 from 1 to 2
--------------------------------------------------------------------------------
answer_a: CMZ
answer_b: MCD
--------------------------------------------------------------------------------
How does scraping the examples work? Check
aocd-example-parser
for the gory details.
Quickstart
Install with pip
pip install advent-of-code-data
If you want to use this within a Jupyter notebook, there are some extra
deps:
pip install 'advent-of-code-data[nb]'
Puzzle inputs differ by user. So export your session ID, for
example:
export AOC_SESSION=cafef00db01dfaceba5eba11deadbeef
Note: Windows users should use set
instead of export
here.
The session ID is a cookie which is set when you login to AoC. You can
find it with your browser inspector. If you're hacking on AoC at all
you probably already know these kind of tricks, but if you need help
with that part then you can look here.
Note: If you don't like the env var, you could also keep your
token(s) in files. By default the location is ~/.config/aocd/token
.
Set the AOCD_DIR
environment variable to some existing directory if
you wish to use another location to store token(s).
New in version 0.9.0. There's a utility script aocd-token
which
attempts to find session tokens from your browser's cookie storage.
This feature is experimental and requires you to additionally install
the package browser-cookie3
. Only Chrome, Firefox, and Edge browsers
are currently supported. On macOS, you may get an authentication dialog
requesting permission, since Python is attempting to read browser
storage files. This is expected, the script is actually scraping those
private files to access AoC session token(s).
If this utility script was able to locate your token, you can save it to
file with:
$ aocd-token > ~/.config/aocd/token
Automated submission
New in version 0.4.0. Basic use:
from aocd import submit
submit(my_answer, part="a", day=25, year=2017)
Note that the same filename introspection of year/day also works for
automated submission. There's also introspection of the "level", i.e.
part a or part b, aocd can automatically determine if you have already
completed part a or not and submit your answer for the correct part
accordingly. In this case, just use:
from aocd import submit
submit(my_answer)
The response message from AoC will be printed in the terminal. If you
gave the right answer, then the puzzle will be refreshed in your web
browser (so you can read the instructions for the next part, for
example). Proceed with caution! If you submit wrong guesses, your
user WILL get rate-limited by Eric, so don't call submit until
you're fairly confident you have a correct answer!
New in version 2.0.0: Prevent submission of an answer when it is
certain the value is incorrect. For example, if the server previously
told you that your answer "1234" was too high, then aocd will remember
this info and prevent you from subsequently submitting an even higher
value such as "1300".
Models
New in version 0.8.0.
There are classes User
and Puzzle
found in the submodule
aocd.models
. Input data is via regular attribute access. Example
usage:
>>> from aocd.models import Puzzle
>>> puzzle = Puzzle(year=2017, day=20)
>>> puzzle
<Puzzle(2017, 20) at 0x107322978 - Particle Swarm>
>>> puzzle.input_data
'p=<-1027,-979,-188>, v=<7,60,66>, a=<9,1,-7>\np=<-1846,-1539,-1147>, v=<88,145,67>, a=<6,-5,2> ...
Submitting answers is also by regular attribute access. Any incorrect
answers you submitted are remembered, and aocd will prevent you from
attempting to submit the same incorrect value twice:
>>> puzzle.answer_a = 299
That's not the right answer; your answer is too high. If you're stuck, there are some general tips on the about page, or you can ask for hints on the subreddit. Please wait one minute before trying again. (You guessed 299.) [Return to Day 20]
>>> puzzle.answer_a = 299
aocd will not submit that answer again. You've previously guessed 299 and the server responded:
That's not the right answer; your answer is too high. If you're stuck, there are some general tips on the about page, or you can ask for hints on the subreddit. Please wait one minute before trying again. (You guessed 299.) [Return to Day 20]
New in version 2.0.4: Added convenience from aocd import puzzle
,
to return a Puzzle
instance bound to the auto-detected day/year/user.
Your own solutions can be executed by writing and using an
entry-point
into your code, registered in the group "adventofcode.user"
. Your
entry-point should resolve to a callable, and it will be called with
three keyword arguments: year
, day
, and data
. For example, my entry-point is called "wim"
and running against my code
(after pip install advent-of-code-wim
) would be like this:
>>> puzzle = Puzzle(year=2018, day=10)
>>> puzzle.solve_for("wim")
('XLZAKBGZ', '10656')
If you've never written a plugin before, see
https://entrypoints.readthedocs.io/ for more info about plugin systems
based on Python entry-points.
Verify your code against multiple inputs
New in version 0.8.0.
Ever tried running your code against other people's inputs? AoC is full
of tricky edge cases. You may find that sometimes you're only getting
the right answer by luck, and your code will fail on some other dataset.
Using aocd, you can collect a few different auth tokens for each of your
accounts (github/google/reddit/twitter) and verify your answers across
multiple datasets.
To see an example of how to set up the entry-point for your code, look at
advent-of-code-sample
for some inspiration. After dumping a bunch of session tokens into
~/.config/aocd/tokens.json
you could do something like this by running
the aoc
console script:
As you can see above, I actually had incorrect code for 2017 Day 20:
Particle Swarm, but that
bug
only showed up for the google token's dataset. Whoops. Also, it looks
like my algorithm for 2017 Day 13: Packet
Scanners was kinda garbage. Too
slow. According to AoC FAQ:
every problem has a solution that completes in at most 15 seconds on
ten-year-old hardware
By the way, the aoc
runner will kill your code if it takes more than
60 seconds, you can increase/decrease this by passing a command-line
option, e.g. --timeout=120
.
New in version 1.1.0: Added option --quiet
to suppress any output
from plugins so it doesn't mess up the aoc
runner's display.
New in version 2.0.0: You can verify your code against the example
input data and answers, scraped from puzzle pages where available, using
aoc --example
. This will pass the sample input data into your solver
instead of passing the full user input data.
How does this library work?
It will automatically get today's data at import time, if used within
the interactive interpreter. Otherwise, the date is found by
introspection of the path and file name from which aocd
module was
imported.
This means your filenames should be something sensible. The examples
below should all parse correctly, because they have digits in the path
that are unambiguously recognisable as AoC years (2015+) or days (1-25).
q03.py
xmas_problem_2016_25b_dawg.py
~/src/aoc/2015/p8.py
A filename like problem_one.py
will not work, so don't do that. If
you don't like weird frame hacks, just use the aocd.get_data()
function instead and have a nice day!
Cache invalidation?
aocd
saves puzzle inputs, answers, prose, and your bad guesses to
avoid hitting the AoC servers any more often than strictly necessary
(this also speeds things up). All data is persisted in plain text files
under ~/.config/aocd
. To remove any caches, you may simply delete
whatever files you want under that directory tree. If you'd prefer to
use a different path, then export an AOCD_DIR
environment variable
with the desired location.
New in version 1.1.0: By default, your token files are also stored
under ~/.config/aocd
. If you want the token(s) and cached
inputs/answers to exist in separate locations, you can set the
environment variable AOCD_CONFIG_DIR
to specify a different location
for the token(s).