superbpe/tokenizers_superbpe/bindings/node/examples/documentation/quicktour.test.ts

/* eslint-disable */
var globRequire = require

console.log = (..._args: any[]) => {}

describe('quicktourExample', () => {
  function require(mod: string) {
    if (mod.startsWith('tokenizers')) {
      return globRequire('../../')
    } else {
      return globRequire(mod)
    }
  }

  it.skip('trains the tokenizer', async () => {
    // START init_tokenizer
    let { Tokenizer } = require('tokenizers')
    let { BPE } = require('tokenizers')

    let tokenizer = new Tokenizer(BPE.init({}, [], { unkToken: '[UNK]' }))
    // END init_tokenizer
    // START init_trainer
    let { bpeTrainer } = require('tokenizers')

    let trainer = bpeTrainer({
      specialTokens: ['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]'],
    })
    // END init_trainer
    // START init_pretok
    let { whitespacePreTokenizer } = require('tokenizers')

    tokenizer.setPreTokenizer(whitespacePreTokenizer())
    // END init_pretok
    // START train
    let files = ['test', 'train', 'valid'].map((split) => `data/wikitext-103-raw/wiki.${split}.raw`)
    tokenizer.train(files, trainer)
    // END train
    // START save
    tokenizer.save('data/tokenizer-wiki.json')
    // END save
  })

  it('shows a quicktour example', async () => {
    let { Tokenizer } = require('tokenizers')

    // START reload_tokenizer
    let tokenizer = Tokenizer.fromFile('data/tokenizer-wiki.json')
    // END reload_tokenizer
    // START encode

    var output = await tokenizer.encode("Hello, y'all! How are you 😁 ?")
    // END encode
    // START print_tokens
    console.log(output.getTokens())
    // ["Hello", ",", "y", "'", "all", "!", "How", "are", "you", "[UNK]", "?"]
    // END print_tokens
    expect(output.getTokens()).toEqual(['Hello', ',', 'y', "'", 'all', '!', 'How', 'are', 'you', '[UNK]', '?'])
    // START print_ids
    console.log(output.getIds())
    // [27253, 16, 93, 11, 5097, 5, 7961, 5112, 6218, 0, 35]
    // END print_ids
    expect(output.getIds()).toEqual([27253, 16, 93, 11, 5097, 5, 7961, 5112, 6218, 0, 35])
    // START print_offsets
    let offsets = output.getOffsets()
    console.log(offsets[9])
    // (26, 27)
    // END print_offsets
    expect(offsets[9]).toEqual([26, 27])
    // START use_offsets
    let { slice } = require('tokenizers')

    let sentence = "Hello, y'all! How are you 😁 ?"
    let [start, end] = offsets[9]
    console.log(slice(sentence, start, end))
    // "😁"
    // END use_offsets
    expect(slice(sentence, start, end)).toEqual('😁')
    // START check_sep
    console.log(tokenizer.tokenToId('[SEP]'))
    // 2
    // END check_sep
    expect(tokenizer.tokenToId('[SEP]')).toEqual(2)
    // START init_template_processing
    let { templateProcessing } = require('tokenizers')

    tokenizer.setPostProcessor(
      templateProcessing('[CLS] $A [SEP]', '[CLS] $A [SEP] $B:1 [SEP]:1', [
        ['[CLS]', tokenizer.tokenToId('[CLS]')],
        ['[SEP]', tokenizer.tokenToId('[SEP]')],
      ]),
    )
    // END init_template_processing
    // START print_special_tokens
    var output = await tokenizer.encode("Hello, y'all! How are you 😁 ?")
    console.log(output.getTokens())
    // ["[CLS]", "Hello", ",", "y", "'", "all", "!", "How", "are", "you", "[UNK]", "?", "[SEP]"]
    // END print_special_tokens
    expect(output.getTokens()).toEqual([
      '[CLS]',
      'Hello',
      ',',
      'y',
      "'",
      'all',
      '!',
      'How',
      'are',
      'you',
      '[UNK]',
      '?',
      '[SEP]',
    ])
    // START print_special_tokens_pair
    var output = await tokenizer.encode("Hello, y'all!", 'How are you 😁 ?')
    console.log(output.getTokens())
    // ["[CLS]", "Hello", ",", "y", "'", "all", "!", "[SEP]", "How", "are", "you", "[UNK]", "?", "[SEP]"]
    // END print_special_tokens_pair
    expect(output.getTokens()).toEqual([
      '[CLS]',
      'Hello',
      ',',
      'y',
      "'",
      'all',
      '!',
      '[SEP]',
      'How',
      'are',
      'you',
      '[UNK]',
      '?',
      '[SEP]',
    ])
    // START print_type_ids
    console.log(output.getTypeIds())
    // [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1]
    // END print_type_ids
    expect(output.getTypeIds()).toEqual([0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1])
    // START encode_batch

    var output = await tokenizer.encodeBatch(["Hello, y'all!", 'How are you 😁 ?'])
    // END encode_batch
    // START encode_batch_pair
    // var output = await tokenizer.encodeBatch(
    //     [["Hello, y'all!", "How are you 😁 ?"], ["Hello to you too!", "I'm fine, thank you!"]]
    // );
    // END encode_batch_pair
    // START enable_padding
    tokenizer.setPadding({ padId: 3, padToken: '[PAD]' })
    // END enable_padding
    // START print_batch_tokens
    var output = await tokenizer.encodeBatch(["Hello, y'all!", 'How are you 😁 ?'])
    console.log(output[1].getTokens())
    // ["[CLS]", "How", "are", "you", "[UNK]", "?", "[SEP]", "[PAD]"]
    // END print_batch_tokens
    expect(output[1].getTokens()).toEqual(['[CLS]', 'How', 'are', 'you', '[UNK]', '?', '[SEP]', '[PAD]'])
    // START print_attention_mask
    console.log(output[1].getAttentionMask())
    // [1, 1, 1, 1, 1, 1, 1, 0]
    // END print_attention_mask
    expect(output[1].getAttentionMask()).toEqual([1, 1, 1, 1, 1, 1, 1, 0])
  })
})