use crate::core::EncodingParam;
use crate::load::{data_gym_to_mergeable_bpe_ranks, load_tiktoken_bpe};
use once_cell::sync::Lazy;
use std::collections::HashMap;
const ENDOFTEXT: &str = "<|endoftext|>";
const FIM_PREFIX: &str = "<|fim_prefix|>";
const FIM_MIDDLE: &str = "<|fim_middle|>";
const FIM_SUFFIX: &str = "<|fim_suffix|>";
const ENDOFPROMPT: &str = "<|endofprompt|>";
#[allow(clippy::type_complexity)]
static ENCODING_TO_CONSTRUCTOR: Lazy<
HashMap<&'static str, Box<dyn Fn() -> EncodingParam + Send + Sync>>,
> = Lazy::new(|| {
let mut m = HashMap::new();
m.insert(
"gpt2",
Box::new(gpt2) as Box<dyn Fn() -> EncodingParam + Send + Sync>,
);
m.insert(
"r50k_base",
Box::new(r50k_base) as Box<dyn Fn() -> EncodingParam + Send + Sync>,
);
m.insert(
"p50k_base",
Box::new(p50k_base) as Box<dyn Fn() -> EncodingParam + Send + Sync>,
);
m.insert(
"p50k_edit",
Box::new(p50k_edit) as Box<dyn Fn() -> EncodingParam + Send + Sync>,
);
m.insert(
"cl100k_base",
Box::new(cl100k_base) as Box<dyn Fn() -> EncodingParam + Send + Sync>,
);
m
});
#[allow(clippy::borrowed_box)]
pub fn find_encoding_constructor(
encoding_name: &str,
) -> Option<&Box<dyn Fn() -> EncodingParam + Send + Sync>> {
ENCODING_TO_CONSTRUCTOR.get(encoding_name)
}
pub fn list_encoding_names<'a>() -> Vec<&'a str> {
ENCODING_TO_CONSTRUCTOR.keys().copied().collect()
}
fn gpt2() -> EncodingParam {
let mergeable_ranks = data_gym_to_mergeable_bpe_ranks(
"https://openaipublic.blob.core.windows.net/gpt-2/encodings/main/vocab.bpe",
"https://openaipublic.blob.core.windows.net/gpt-2/encodings/main/encoder.json",
);
let special_tokens = vec![(ENDOFTEXT.to_string(), 50256usize)];
EncodingParam::new(
"gpt2".to_string(),
r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+".to_string(),
mergeable_ranks,
special_tokens.into_iter().collect(),
Some(50257),
)
}
fn r50k_base() -> EncodingParam {
let mergeable_ranks = load_tiktoken_bpe(
"https://openaipublic.blob.core.windows.net/encodings/r50k_base.tiktoken",
);
let special_tokens = vec![(ENDOFTEXT.to_string(), 50256usize)];
EncodingParam::new(
"r50k_base".to_string(),
r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+".to_string(),
mergeable_ranks,
special_tokens.into_iter().collect(),
Some(50257),
)
}
fn p50k_base() -> EncodingParam {
let mergeable_ranks = load_tiktoken_bpe(
"https://openaipublic.blob.core.windows.net/encodings/p50k_base.tiktoken",
);
let special_tokens = vec![(ENDOFTEXT.to_string(), 50256usize)];
EncodingParam::new(
"p50k_base".to_string(),
r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+".to_string(),
mergeable_ranks,
special_tokens.into_iter().collect(),
Some(50281),
)
}
fn p50k_edit() -> EncodingParam {
let mergeable_ranks = load_tiktoken_bpe(
"https://openaipublic.blob.core.windows.net/encodings/p50k_base.tiktoken",
);
let special_tokens = vec![
(ENDOFTEXT.to_string(), 50256usize),
(FIM_PREFIX.to_string(), 50281usize),
(FIM_MIDDLE.to_string(), 50282usize),
(FIM_SUFFIX.to_string(), 50283usize),
];
EncodingParam::new(
"p50k_edit".to_string(),
r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+".to_string(),
mergeable_ranks,
special_tokens.into_iter().collect(),
None,
)
}
fn cl100k_base() -> EncodingParam {
let mergeable_ranks = load_tiktoken_bpe(
"https://openaipublic.blob.core.windows.net/encodings/cl100k_base.tiktoken",
);
let special_tokens = vec![
(ENDOFTEXT.to_string(), 100257usize),
(FIM_PREFIX.to_string(), 100258usize),
(FIM_MIDDLE.to_string(), 100259usize),
(FIM_SUFFIX.to_string(), 100260usize),
(ENDOFPROMPT.to_string(), 100276usize),
];
EncodingParam::new(
"cl100k_base".to_string(),
r"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\r\n\p{L}\p{N}]?\p{L}+|\p{N}{1,3}| ?[^\s\p{L}\p{N}]+[\r\n]*|\s*[\r\n]+|\s+(?!\S)|\s+".to_string(),
mergeable_ranks,
special_tokens.into_iter().collect(),
None
)
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_list_encoding_names() {
let mut res = list_encoding_names();
res.sort();
assert_eq!(
res,
vec!["cl100k_base", "gpt2", "p50k_base", "p50k_edit", "r50k_base"]
);
}
}