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ranks.ts
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ranks.ts
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import fs from "node:fs/promises";
import path from "node:path";
import outdent from "outdent";
import { fromByteArray } from "base64-js";
import registry from "../tiktoken/registry.json";
import modelToEncoding from "../tiktoken/model_to_encoding.json";
// printable ascii characters according to python
function isPrintable(u: number): boolean {
return !(u <= 31 || (u >= 127 && u <= 160) || u == 173);
}
function dataGymToMergeableBpeRanks(
vocal_bpe_contents: string,
encoder_json_contents: string
) {
const rank_to_intbyte = Array.from({ length: 2 ** 8 }, (_, i) => i).filter(
(i) => isPrintable(i) && String.fromCharCode(i) !== " "
);
const data_gym_byte_to_byte = rank_to_intbyte.reduce<Record<string, number>>(
(memo, item) => {
memo[String.fromCharCode(item)] = item;
return memo;
},
{}
);
let n = 0;
for (let b = 0; b < 2 ** 8; b++) {
if (!rank_to_intbyte.includes(b)) {
rank_to_intbyte.push(b);
data_gym_byte_to_byte[String.fromCharCode(2 ** 8 + n)] = b;
n += 1;
}
}
if (rank_to_intbyte.length !== 2 ** 8) {
throw new Error("rank_to_intbyte.length must be 2**8");
}
// vocab_bpe contains the merges along with associated ranks
const bpe_merges = vocal_bpe_contents
.split("\n")
.slice(1, -1)
.map((merge_str) => merge_str.split(" "));
function decodeDataGym(value: string) {
return value.split("").map((b) => data_gym_byte_to_byte[b]);
}
// add the single byte tokens
const bpe_ranks = Object.fromEntries(rank_to_intbyte.map((b, i) => [b, i]));
// add the merged tokens
n = rank_to_intbyte.length;
for (const [first, second] of bpe_merges) {
bpe_ranks[[...decodeDataGym(first), ...decodeDataGym(second)].join(",")] =
n;
n += 1;
}
// check that the encoder file matches the merges file
// this sanity check is important since tiktoken assumes that ranks are ordered the same
// as merge priority
const encoder_json: Record<string, number> = JSON.parse(
encoder_json_contents
);
const encoder_json_loaded = Object.fromEntries(
Object.entries(encoder_json).map(([k, v]) => [
decodeDataGym(k).join(","),
v,
])
);
// drop these two special tokens if present, since they're not mergeable bpe tokens
delete encoder_json_loaded[decodeDataGym("<|endoftext|>").join(",")];
delete encoder_json_loaded[decodeDataGym("<|startoftext|>").join(",")];
function normalize_map(items: Record<string, number>) {
return JSON.stringify(
Object.keys(items)
.sort()
.map((key) => [key, items[key]])
);
}
if (normalize_map(bpe_ranks) !== normalize_map(encoder_json_loaded)) {
throw new Error("bpe_ranks !== encoder_json_loaded");
}
return bpe_ranks;
}
function dumpTiktokenBpe(bpe_ranks: Record<string, number>) {
return (
Object.entries(bpe_ranks)
.sort((a, b) => a[1] - b[1])
.map(([token_str, rank]) =>
[
fromByteArray(
new Uint8Array(
token_str.split(",").map((i) => Number.parseInt(i, 10))
)
),
rank,
].join(" ")
)
.join("\n") + "\n"
);
}
async function downloadBpe(
registry: (
| { load_tiktoken_bpe: string }
| {
data_gym_to_mergeable_bpe_ranks: {
vocab_bpe_file: string;
encoder_json_file: string;
};
}
) & {
explicit_n_vocab?: number;
pat_str: string;
special_tokens: Record<string, number>;
}
) {
if ("data_gym_to_mergeable_bpe_ranks" in registry) {
const [vocab_bpe, encoder_json] = await Promise.all([
fetch(registry.data_gym_to_mergeable_bpe_ranks.vocab_bpe_file).then((a) =>
a.text()
),
fetch(registry.data_gym_to_mergeable_bpe_ranks.encoder_json_file).then(
(a) => a.text()
),
]);
return {
explicit_n_vocab: registry.explicit_n_vocab,
pat_str: registry.pat_str,
special_tokens: registry.special_tokens,
bpe_ranks: dumpTiktokenBpe(
dataGymToMergeableBpeRanks(vocab_bpe, encoder_json)
),
};
} else {
return {
explicit_n_vocab: registry.explicit_n_vocab,
pat_str: registry.pat_str,
special_tokens: registry.special_tokens,
bpe_ranks: await fetch(registry.load_tiktoken_bpe).then((a) => a.text()),
};
}
}
function compressTiktokenBpe(tiktoken_bpe_file: string) {
const original = tiktoken_bpe_file
.split("\n")
.map((line) => line.trim() && line.split(" "))
.filter((x): x is Array<string> => !!x && Array.isArray(x))
.map(([token, rank]) => [token, Number.parseInt(rank, 10)] as const)
.sort((a, b) => a[1] - b[1]);
const newTokens = original.reduce<
Array<{ offset: number; tokens: string[] }>
>((memo, item) => {
if (memo.length === 0) return [{ offset: item[1], tokens: [item[0]] }];
const lastSplit = memo[memo.length - 1];
const nextOffset = lastSplit.offset + lastSplit.tokens.length;
if (nextOffset === item[1]) {
lastSplit.tokens.push(item[0]);
return memo;
}
return [...memo, { offset: item[1], tokens: [item[0]] }];
}, []);
const compressed = newTokens
.map((x) => `! ${x.offset} ${x.tokens.join(" ")}`)
.join("\n");
// make sure the compressed and the original files are the same
const tiktokenOld = compressed
.split("\n")
.filter(Boolean)
.reduce<Record<string, number>>((memo, x) => {
const [_, offsetStr, ...tokens] = x.split(" ");
const offset = Number.parseInt(offsetStr, 10);
tokens.forEach((token, i) => (memo[token] = offset + i));
return memo;
}, {});
function normalizeMap(items: Record<string, number>) {
return JSON.stringify(
Object.keys(items)
.sort()
.map((key) => [key, items[key]])
);
}
if (
normalizeMap(tiktokenOld) !== normalizeMap(Object.fromEntries(original))
) {
throw new Error("Invalid compression");
}
return compressed;
}
function combineInsensitive(value: string, acc: string[] = [""]): string[] {
if (value.length === 0) return acc;
if (value[0].match(/[a-zA-Z]/)) {
return combineInsensitive(
value.substring(1),
acc.flatMap((i) => [
`${i}${value[0].toLocaleLowerCase()}`,
`${i}${value[0].toLocaleUpperCase()}`,
])
);
}
return combineInsensitive(
value.substring(1),
acc.map((i) => `${i}${value[0]}`)
);
}
async function main() {
for (const lib of ["wasm", "js"]) {
const targetDir = path.resolve(__dirname, "../", lib, "src/ranks");
try {
await fs.mkdir(targetDir, { recursive: true });
} catch {}
for (const name in registry) {
console.log(name);
const data = registry[name as keyof typeof registry];
const bpePath = path.resolve(targetDir, `${name}.tiktoken`);
const compressPath = path.resolve(targetDir, `${name}.compress.tiktoken`);
const regexPath = path.resolve(targetDir, `${name}.regex.tiktoken`);
const jsonPath = path.resolve(targetDir, `${name}.json`);
const cjsPath = path.resolve(targetDir, `${name}.cjs`);
const dtsPath = path.resolve(targetDir, `${name}.d.ts`);
const mjsPath = path.resolve(targetDir, `${name}.js`);
try {
await Promise.all([
fs.stat(bpePath),
fs.stat(jsonPath),
fs.stat(compressPath),
fs.stat(regexPath),
fs.stat(cjsPath),
fs.stat(mjsPath),
fs.stat(dtsPath),
]);
continue;
} catch {}
const bpe = await downloadBpe(data);
if (lib === "js") {
bpe.pat_str = bpe.pat_str.replace(
/\(\?i:(.*?)\)/,
(_, match: string) =>
`(${match
.split("|")
.flatMap((a) => combineInsensitive(a))
.join("|")})`
);
// attempt to create a regexp
new RegExp(bpe.pat_str, "u");
}
await fs.writeFile(bpePath, bpe.bpe_ranks, { encoding: "utf-8" });
const compress = compressTiktokenBpe(bpe.bpe_ranks);
await fs.writeFile(compressPath, compress, { encoding: "utf-8" });
const regex = bpe.pat_str;
await fs.writeFile(regexPath, regex, { encoding: "utf-8" });
const json = JSON.stringify({ ...bpe, bpe_ranks: compress });
await fs.writeFile(jsonPath, json, { encoding: "utf-8" });
const mjs = `export default ${json};`;
await fs.writeFile(mjsPath, mjs, { encoding: "utf-8" });
const cjs = `module.exports = ${json};`;
await fs.writeFile(cjsPath, cjs, { encoding: "utf-8" });
const dts = outdent`
declare const encoder: {
pat_str: string;
special_tokens: Record<string, number>;
bpe_ranks: string;
};
export default encoder;
`;
await fs.writeFile(dtsPath, dts, { encoding: "utf-8" });
}
const indexPath = path.resolve(targetDir, "ranks.ts");
const indexMjs = outdent`
export type TiktokenEncoding = ${Object.keys(registry)
.map((i) => `"${i}"`)
.join(" | ")};
export type TiktokenModel = ${Object.keys(modelToEncoding)
.map((i) => `"${i}"`)
.join(" | ")};
`;
await fs.writeFile(indexPath, indexMjs, { encoding: "utf-8" });
}
}
main();