fastest text uwuifier in the west
transforms
Hey, I think I really love you. Do you want a headpat?
into
hey, (ꈍᴗꈍ) i think i weawwy wuv you. ^•ﻌ•^ do y-you want a headpat?
there's an uwu'd version of this readme
u want large amounts of text uwu'd in a smol amount of time
ur computer, if it has a recent x86 cpu (intel, amd) that supports sse4.1
why not?
tldr: 128-bit simd vectorization plus some big brain algos
click for more info
after hours of research, i've finally understood the essence of uwu'd text
there are a few transformations:
- replace some words (
small
->smol
, etc.) - nya-ify (eg.
naruhodo
->nyaruhodo
) - replace
l
andr
withw
- stutter sometimes (
hi
->h-hi
) - add a text emoji after punctuation (
,
,.
, or!
) sometimes
these transformation passes take advantage of sse4.1 vector intrinsics to process 16 bytes at once. for string searching, i'm using a custom simd implementation of the bitap algorithm for matching against multiple strings. for random number generation, i'm using XorShift32. for most character-level detection within simd registers, its all masking and shifting to simulate basic state machines in parallel
multithreading is supported, so u can exploit all of ur cpu cores for the noble goal of uwu-ing massive amounts of text
utf-8 is handled elegantly by simply ignoring non-ascii characters in the input
unfortunately, due to both simd parallelism and multithreading, some words may not be fully uwu'd if they were lucky enough to cross the boundary of a simd vector or a thread's buffer. they won't escape so easily next time
- install rust: run
curl https://sh.rustup.rs -sSf | sh
on unix, or go here for more options - run
cargo install uwuify
- run
uwuify
which will read from stdin and output to stdout. make sure u press ctrl + d (unix) or ctrl + z and enter (windows) after u type stuff in stdin to send an EOF
if you are having trouble running uwuify
, make sure you have ~/.cargo/bin
in your $PATH
it is possible to read and write from files by specifying the input file and
output file, in that order. u can use --help
for more info. pass in
-v
for timings
this is on crates.io here
- put
uwuify = "^0.2"
under[dependencies]
in yourCargo.toml
file - the library is called
uwuifier
(slightly different from the name of the binary!) use it like so:
use uwuifier::uwuify_str_sse;
assert_eq!(uwuify_str_sse("hello world"), "hewwo wowwd");
documentation is here
click for more info
- install rust
- run
git clone https://github.com/Daniel-Liu-c0deb0t/uwu.git && cd uwu
- run
cargo run --release
- run
cargo test
- run
mkdir test && cd test
warning: large files of 100mb and 1gb, respectively
- run
curl -OL http://mattmahoney.net/dc/enwik8.zip && unzip enwik8.zip
- run
curl -OL http://mattmahoney.net/dc/enwik9.zip && unzip enwik9.zip
- run
cd .. && ./bench.sh
tldr: can be almost as fast as simply copying a file
click for more info
raw numbers from running ./bench.sh
on a 2019 macbook pro with eight
intel 2.3 ghz i9 cpus and 16 gb of ram are shown below. the dataset
used is the first 100mb and first 1gb of english wikipedia. the same
dataset is used for the hutter prize
for text compression
1 thread uwu enwik8
time taken: 178 ms
input size: 100000000 bytes
output size: 115095591 bytes
throughput: 0.55992 gb/s
2 thread uwu enwik8
time taken: 105 ms
input size: 100000000 bytes
output size: 115095591 bytes
throughput: 0.94701 gb/s
4 thread uwu enwik8
time taken: 60 ms
input size: 100000000 bytes
output size: 115095591 bytes
throughput: 1.64883 gb/s
8 thread uwu enwik8
time taken: 47 ms
input size: 100000000 bytes
output size: 115095591 bytes
throughput: 2.12590 gb/s
copy enwik8
real 0m0.035s
user 0m0.001s
sys 0m0.031s
1 thread uwu enwik9
time taken: 2087 ms
input size: 1000000000 bytes
output size: 1149772651 bytes
throughput: 0.47905 gb/s
2 thread uwu enwik9
time taken: 992 ms
input size: 1000000000 bytes
output size: 1149772651 bytes
throughput: 1.00788 gb/s
4 thread uwu enwik9
time taken: 695 ms
input size: 1000000000 bytes
output size: 1149772651 bytes
throughput: 1.43854 gb/s
8 thread uwu enwik9
time taken: 436 ms
input size: 1000000000 bytes
output size: 1149772651 bytes
throughput: 2.29214 gb/s
copy enwik9
real 0m0.387s
user 0m0.001s
sys 0m0.341s
//TODO: compare with other tools
so its readable
if u happen to find uwu'd text more readable, there's always an uwu'd version
free will is an illusion
don't worry, i've got u covered
Recent advances in computing have made strides in parallelization, whether at a fine-grained level with SIMD instructions, or at a high level with multiple CPU cores. Taking advantage of these advances, we explore how the useful task of performing an uwu transformation on plain text can be scaled up to large input datasets. Our contributions in this paper are threefold: first, we present, to our knowledge, the first rigorous definition of uwu'd text. Second, we show our novel algorithms for uwu-ing text, exploiting vectorization and multithreading features that are available on modern CPUs. Finally, we provide rigorous experimental results that show how our implementation could be the "fastest in the west." In our benchmarks, we observe that our implementation was almost as a fast as a simple file copy, which is entirely IO-bound. We believe our work has potential applications in various domains, from data augmentation and text preprocessing for natural language processing, to giving authors the ability to convey potentially wholesome or cute meme messages with minimal time and effort.
// TODO: write paper
// TODO: write more about machine learning so i get funding
mit license
open an issue, be nice
- uwu-tray: a tray icon to uwuify your text
- uwubot: discord bot for uwuifying text
- uwupedia: the uwuified encycwopedia
- discord uwu webhook: automatically uwuifies all sent messages on discord via webhooks
- twent weznowor: best twitter bot ever
- alaia: a simple yet powerful intuitive chatbot for discord
- uwuify-mdbook: an mdbook pre-processor for all your uwuify needs
- uwu-joke: automatically uwuifies typed text and text copied to your clipboard
- discordbot (go): discord (and telegram and slack) bot for fun
- let me know if u make a project with uwuify! i appreciate u all!