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base: advent-of-code:5c55c53f41d883d245bc2b72841ea222e6c083bf
Branches Tags
advent-of-code:mark
advent-of-code:brechtje
advent-of-code:bram
advent-of-code:bob
advent-of-code:vicky
advent-of-code:main
advent-of-code:bram-benchmarks
advent-of-code:sander
advent-of-code:sam
..
compare: advent-of-code:a5f45c22303579fea8ca0a666734979800504769
Branches Tags
advent-of-code:mark
advent-of-code:brechtje
advent-of-code:bram
advent-of-code:bob
advent-of-code:vicky
advent-of-code:main
advent-of-code:bram-benchmarks
advent-of-code:sander
advent-of-code:sam

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21 changed files with 321 additions and 1424 deletions
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2
.gitignore vendored
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@ -270,8 +270,6 @@ Cargo.lock
*.pdb *.pdb
# ---> Custom files # ---> Custom files
bram/benchmarks/sander_hs/bin
brechtje/**/*.txt
# If your structure requires you to ignore certain files or folders, # If your structure requires you to ignore certain files or folders,
# you may add them here. # you may add them here.

146
bram/benchmarks/Benchmarks.ipynb
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39
bram/benchmarks/README.md
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@ -1,39 +0,0 @@
# Benchmarking setup
In this folder, I run some benchmarks on everyone's code.
## How to benchmark
1. Make sure you have the appropriate software installed. You can do so by
activating the Nix shell as defined in `shell.nix`, or you can view everyone's
installation requirements in the
[software requirements](#Software-requirements) section.
2. Run benchmarks by executing the respective scripts. For example, if you
wish to benchmark Bram's code, you may run `bram.sh` in your terminal. All data
will be collected in the `data/` folder.
3. Once you have collected all the data you wanted to collect, you can open the
Jupyter Notebook by typing `jupyter notebook Benchmarks.ipynb` in the terminal.
4. In the Jupyter Notebook, evaluate all cells and gain the graphs you want.
Graphs are also stored in the `img/` folder.
## Software requirements
To create the measurements, this benchmarking setup uses
[hyperfine](https://github.com/sharkdp/hyperfine). To build the visualization,
this setup uses [Jupyter Notebooks](https://jupyter.org/) - but you can install
the dependencies listed in `requirements.txt` to get all necessary packages
installed.
Bob uses [Python](https://www.python.org/).
Bram uses [Rust](https://rust-lang.org/) at version 1.86.0.
Brechtje uses [Python](https://www.python.org/).
Sander uses [GHCup](https://www.haskell.org/ghcup/) at version 9.6.7. Haskell
typically opens as a REPL from which functions can be evaluated, so some
liberties are taken here. The script is reformatted in the `sander_hs/` folder
and compiled to a binary in order to approximate performance.

13
bram/benchmarks/brechtje.sh
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@ -1,13 +0,0 @@
cd ../../brechtje
# Benchmark day 1
cd 1/
hyperfine --warmup 5 \
--export-json ../../bram/benchmarks/data/brechtje-d01-p1.json \
--runs 100 "python 1-1.py"
hyperfine --warmup 5 \
--export-json ../../bram/benchmarks/data/brechtje-d01-p2.json \
--runs 100 "python 1-2.py"
cd ../
cd ../bram/benchmarks

29
bram/benchmarks/compare.py
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@ -1,29 +0,0 @@
import json
DIRECTORY = []
with open("data/all.json", "r") as fp:
DIRECTORY = json.load(fp)
def generate_datafile(obj):
path = "data/" + obj["name"]
with open(path, 'r') as fp:
benchmark = json.load(fp)
for time in benchmark["results"][0]["times"]:
yield {
"author": obj["author"],
"lang": obj["lang"],
"time": time / obj["runs"],
}
def generate_day(day : int):
for part in [ 1, 2 ]:
for measurement in generate_puzzle(f"{day}-{part}"):
measurement["part"] = part
yield measurement
def generate_puzzle(puzzle : str):
for obj in DIRECTORY:
if puzzle in obj["puzzles"]:
yield from generate_datafile(obj)

57
bram/benchmarks/data/all.json
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@ -1,57 +0,0 @@
[
{
"name": "bob-d01-p1.json",
"author": "Bob",
"lang": "Python",
"puzzles": [
"1-1"
],
"runs": 1
},
{
"name": "bob-d01-p2.json",
"author": "Bob",
"lang": "Python",
"puzzles": [
"1-2"
],
"runs": 1
},
{
"name": "bram-d01-100.json",
"author": "Bram",
"lang": "Rust",
"puzzles": [
"1-1",
"1-2"
],
"runs": 100
},
{
"name": "brechtje-d01-p1.json",
"author": "Brechtje",
"lang": "Python",
"puzzles": [
"1-1"
],
"runs": 1
},
{
"name": "brechtje-d01-p2.json",
"author": "Brechtje",
"lang": "Python",
"puzzles": [
"1-2"
],
"runs": 1
},
{
"name": "sander-d01-p1.json",
"author": "Sander",
"lang": "Haskell",
"puzzles": [
"1-1"
],
"runs": 1
}
]

214
bram/benchmarks/data/bob-d01-p1.json
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@ -2,114 +2,114 @@
"results": [ "results": [
{ {
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], ],
"exit_codes": [ "exit_codes": [
0, 0,

214
bram/benchmarks/data/bob-d01-p2.json
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@ -2,114 +2,114 @@
"results": [ "results": [
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"exit_codes": [ "exit_codes": [
0, 0,

214
bram/benchmarks/data/bram-d01-100.json
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@ -2,114 +2,114 @@
"results": [ "results": [
{ {
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bram/benchmarks/data/brechtje-d01-p1.json
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218
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218
bram/benchmarks/data/sander-d01-p1.json
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{
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BIN
bram/benchmarks/img/day1.png
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Width:  |  Height:  |  Size: 49 KiB

16
bram/benchmarks/requirements.txt
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@ -1,16 +0,0 @@
backports.tarfile==1.2.0
chardet==5.2.0
fqdn==1.5.1
html5lib==1.1
importlib-metadata==8.0.0
isoduration==20.11.0
jaraco.collections==5.1.0
jsonpointer==3.0.0
notebook==7.4.1
pip-chill==1.0.2
seaborn==0.13.2
tinycss2==1.4.0
toml==0.10.2
tomli==2.0.1
uri-template==1.3.0
webcolors==24.11.1

7
bram/benchmarks/sander.sh
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@ -1,7 +0,0 @@
# Build binaries
ghc -O2 sander_hs/d01p1.hs -o sander_hs/bin/d01-p1
# Benchmark day 1
hyperfine --warmup 5 --export-json data/sander-d01-p1.json --runs 100 \
"sander_hs/bin/d01-p1"

0
bram/benchmarks/sander_hs/bin/placeholder
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40
bram/benchmarks/sander_hs/d01p1.hs
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@ -1,40 +0,0 @@
import System.IO
import Control.Monad
main :: IO()
main = do handle <- openFile "../rust/inputs/01.txt" ReadMode
contents <- hGetContents handle
print (doday1_1 contents)
hClose handle
-- Day 1: ...
-- Part One (correct)
doday1_1 :: String -> String
doday1_1 input = show (countZeroRotations (words input) 50)
countZeroRotations :: [String] -> Int -> Int
countZeroRotations [] _ = 0
countZeroRotations (x : xs) pos = countZeroRotations xs (fst (rotateDial x pos)) + snd (rotateDial x pos)
rotateDial :: String -> Int -> (Int, Int)
rotateDial (direction : r) pos
| direction == 'L' && newposl == 0 = (normalizeHundred newposl, 1)
| direction == 'L' = (normalizeHundred newposl, 0)
| direction == 'R' && newposr == 0 = (normalizeHundred newposr, 1)
| direction == 'R' = (normalizeHundred newposr, 0)
where newposl = normalizeHundred (pos - (read r))
newposr = normalizeHundred (pos + (read r))
normalizeHundred :: Int -> Int
normalizeHundred x
| x >= 0 && x < 100 = x
| x >= 100 = normalizeHundred (x - 100)
| x < 0 = normalizeHundred (x + 100)
| True = x
-- Part Two
doday1_2 :: String -> String
doday1_2 input = undefined

6
bram/benchmarks/shell.nix
View File

@ -5,17 +5,11 @@ in pkgs.mkShell {
# Benchmarking tool # Benchmarking tool
hyperfine hyperfine
# Haskell
haskell.compiler.native-bignum.ghc967
# Jupyter notebook # Jupyter notebook
(python312.withPackages (python312.withPackages
(py-pkgs: with py-pkgs; [ (py-pkgs: with py-pkgs; [
matplotlib
notebook notebook
pandas
pip-chill pip-chill
seaborn
]) ])
) )
]; ];

22
brechtje/1/1-1.py
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@ -1,22 +0,0 @@
input = open("input.txt", "r").read().splitlines()
pos = 50
password = 0
for line in input:
if line.startswith('L'):
pos -= int(line[1:])
elif line.startswith('R'):
pos += int(line[1:])
# keep subtracting or adding 100 until position is between 0 and 99
while pos < 0 or pos > 99:
if pos < 0:
pos += 100
elif pos > 99:
pos -= 100
if pos == 0:
password += 1
print(password)

21
brechtje/1/1-2.py
View File

@ -1,21 +0,0 @@
input = open("input.txt", "r").read().splitlines()
pos = 50
password = 0
for line in input:
if line.startswith('L'):
for _ in range(int(line[1:])):
pos -= 1
if pos == -1:
pos = 99
elif pos == 0:
password += 1
elif line.startswith('R'):
for _ in range(int(line[1:])):
pos += 1
if pos == 100:
pos = 0
password += 1
print(password)

51
sander/AoC 2025
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@ -1,51 +0,0 @@
-- AOC 2025 - Sander
-- so for those wondering about how I run this Haskell code, here's the setup:
-- 1) install GHCup as instructed from https://www.haskell.org/ghcup/
-- 2) save this haskell file and your AOC input file in some directory on your computer
-- 3) rewrite the "main" function with the location of your AOC input file
-- 4) rewrite "print contents" in the "main" function to use the function(s) you've made to process the input file ("contents") from that day correctly
-- 5) run Command Prompt, go to the directory of your files (with "cd" command) and run the command "ghci AOC2025.hs"
-- 6) run command "main"
-- 7) if your functions are correct, you'll get the correct answer!
import System.IO
import Control.Monad
main :: IO()
main = do handle <- openFile "C:/Users/[your directory here]/d1.txt" ReadMode
contents <- hGetContents handle
print (doday1_1 contents)
hClose handle
-- Day 1: ...
-- Part One (correct)
doday1_1 :: String -> String
doday1_1 input = show (countZeroRotations (words input) 50)
countZeroRotations :: [String] -> Int -> Int
countZeroRotations [] _ = 0
countZeroRotations (x : xs) pos = countZeroRotations xs (fst (rotateDial x pos)) + snd (rotateDial x pos)
rotateDial :: String -> Int -> (Int, Int)
rotateDial (direction : r) pos
| direction == 'L' && newposl == 0 = (normalizeHundred newposl, 1)
| direction == 'L' = (normalizeHundred newposl, 0)
| direction == 'R' && newposr == 0 = (normalizeHundred newposr, 1)
| direction == 'R' = (normalizeHundred newposr, 0)
where newposl = normalizeHundred (pos - (read r))
newposr = normalizeHundred (pos + (read r))
normalizeHundred :: Int -> Int
normalizeHundred x
| x >= 0 && x < 100 = x
| x >= 100 = normalizeHundred (x - 100)
| x < 0 = normalizeHundred (x + 100)
| True = x
-- Part Two
doday1_2 :: String -> String
doday1_2 input = undefined