Fix exports & decoding #2
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schnerd
commented
Sep 8, 2020
| - run: npm ci | ||
| - run: npm run build --if-present | ||
| - run: npm test | ||
|
|
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This will run tests on commits/PRs to ensure there are no regressions
syonfox
referenced
this pull request
in syonfox/gptoken
Dec 25, 2022
I don't actually want to encode into tokens for my use case, quickly count to check my request won't exceed the limit.
This should be faster since we don't initialize the memory for the output array.
```
const crypto = require('crypto');
// Generate a random string of a given length
function generateRandomString(length) {
return crypto.randomBytes(length).toString('hex');
}
const {encode, decode, countTokens} = require('gpt-3-encoder')
let str = 'This is an example sentence to try encoding out on!'
// let now = Date.now();
let encoded = encode(str)
console.log('Encoded this string looks like: ', encoded)
console.log('We can look at each token and what it represents)
let tokencount = 0;
for(let token of encoded){
tokencount ++;
console.log({token, string: decode([token])})
}
console.log("there are n tokens: ", tokencount);
let decoded = decode(encoded)
console.log('We can decode it back into:\n', decoded)
let now = Date.now();
// todo: write an benchmark for the above method vs int countTokens(str)
str = generateRandomString(10000);
console.time('fencode');
encoded = encode(str);
console.log(`First encode to cache string n stuff in mem`);
console.timeEnd('fencode');
console.log(`Original string length: ${str.length}`);
// Benchmark the encode function
console.time('encode');
encoded = encode(str);
console.log(`Encoded string length: ${encoded.length}`);
console.timeEnd('encode');
// Benchmark the countTokens function
console.time('countTokens');
let tokenCount = countTokens(str);
console.log(`Number of tokens: ${tokenCount}`);
console.timeEnd('countTokens');
console.log(`Original string length: ${str.length}`);
console.log(`Encoded string length: ${encoded.length}`);
console.log(`Number of tokens: ${tokenCount}`);
```
```
We can decode it back into:
This is an example sentence to try encoding out on!
First encode to cache string n stuff in mem
fencode: 163.57ms
Original string length: 20000
Encoded string length: 11993
encode: 124.265ms
Number of tokens: 11993
countTokens: 29.2ms
Original string length: 20000
Encoded string length: 11993
Number of tokens: 11993
```
Co-authored-by: Kier <syonfox@users.noreply.github.com>
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module exports were removed in 5766918
Also, while that commit seemed to fix emoji encoding, I believe emoji decoding still doesn't work. This commit uses TextDecoder to decode (since encoding now uses TextEncoder).
Also added some quick tests and CI that runs for free in Github on all commits/PRs – hope that's okay!