AdventOfCode2023.jl

Advent of Code 2023 in Julia
Author goggle
Github
Popularity
12 Stars
Updated Last
2 Years Ago
Started In
November 2023

AdventOfCode2023

Build Status

This Julia package contains my solutions for Advent of Code 2023.

Overview

Day Problem Time Allocated memory Source
1 ✅ 2.304 ms 3.00 MiB ✅
2 ✅ 1.050 ms 350.39 KiB ✅
3 ✅ 1.894 ms 1.80 MiB ✅
4 ✅ 2.745 ms 1.40 MiB ✅
5 ✅ 71.969 ms 198.09 KiB ✅
6 ✅ 7.953 μs 7.44 KiB ✅
7 ✅ 11.831 ms 15.28 MiB ✅
8 ✅ 11.879 ms 556.42 KiB ✅
9 ✅ 1.408 ms 1.72 MiB ✅
10 ✅ 7.801 ms 7.78 MiB ✅
11 ✅ 4.728 ms 1.71 MiB ✅
12 ✅ 9.320 ms 2.64 MiB ✅
13 ✅ 2.202 ms 3.18 MiB ✅
14 ✅ 56.620 ms 22.56 MiB ✅
15 ✅ 2.647 ms 1.49 MiB ✅
16 ✅ 33.972 ms 53.35 MiB ✅
17 ✅ 50.170 ms 2.72 MiB ✅
18 ✅ 630.330 μs 484.14 KiB ✅
19 ✅ 2.559 ms 1.79 MiB ✅
20 ✅ 65.710 ms 28.76 MiB ✅
21 ✅ 9.675 ms 7.19 MiB ✅
22 ✅ 790.712 ms 631.26 MiB ✅
23 ✅ 2.979 s 9.69 MiB ✅
24 ✅ 43.214 ms 49.77 MiB ✅
25 ✅ 69.476 ms 62.03 MiB ✅

The benchmarks have been measured on this machine:

Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 8 × Intel(R) Core(TM) i5-8250U CPU @ 1.60GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, skylake)
  Threads: 1 on 8 virtual cores

Installation and Usage

Make sure you have Julia 1.8 or newer installed on your system.

Installation

Start Julia and enter the package REPL by typing ]. Create a new environment:

(@v1.8) pkg> activate aoc

Install AdventOfCode2023.jl:

(aoc) pkg> add https://github.com/goggle/AdventOfCode2023.jl

Go back to the Julia REPL by pushing the backspace key.

Usage

First, activate the package:

julia> using AdventOfCode2023

Each puzzle can now be run with dayXY():

julia> day01()
2-element Vector{Int64}:
 54708
 54087

This will use my personal input. If you want to use another input, provide it to the dayXY method as a string. You can also use the readInput method to read your input from a text file:

julia> input = readInput("/path/to/input.txt")

julia> AdventOfCode2023.Day01.day01(input)
2-element Vector{Int64}:
 54708
 54087