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https://github.com/huggingface/transformers.git
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9aeacb58ba
* [WIP] SP tokenizers * fixing tests for T5 * WIP tokenizers * serialization * update T5 * WIP T5 tokenization * slow to fast conversion script * Refactoring to move tokenzier implementations inside transformers * Adding gpt - refactoring - quality * WIP adding several tokenizers to the fast world * WIP Roberta - moving implementations * update to dev4 switch file loading to in-memory loading * Updating and fixing * advancing on the tokenizers - updating do_lower_case * style and quality * moving forward with tokenizers conversion and tests * MBart, T5 * dumping the fast version of transformer XL * Adding to autotokenizers + style/quality * update init and space_between_special_tokens * style and quality * bump up tokenizers version * add protobuf * fix pickle Bert JP with Mecab * fix newly added tokenizers * style and quality * fix bert japanese * fix funnel * limite tokenizer warning to one occurence * clean up file * fix new tokenizers * fast tokenizers deep tests * WIP adding all the special fast tests on the new fast tokenizers * quick fix * adding more fast tokenizers in the fast tests * all tokenizers in fast version tested * Adding BertGenerationFast * bump up setup.py for CI * remove BertGenerationFast (too early) * bump up tokenizers version * Clean old docstrings * Typo * Update following Lysandre comments Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>
131 lines
4.0 KiB
Python
131 lines
4.0 KiB
Python
# coding=utf-8
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# Copyright 2018 The Google AI Language Team Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import unittest
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from transformers.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer
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from .test_tokenization_common import TokenizerTesterMixin
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class TransfoXLTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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tokenizer_class = TransfoXLTokenizer
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test_rust_tokenizer = False
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def setUp(self):
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super().setUp()
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vocab_tokens = [
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"<unk>",
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"[CLS]",
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"[SEP]",
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"want",
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"unwanted",
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"wa",
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"un",
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"running",
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",",
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"low",
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"l",
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]
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self.vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"])
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with open(self.vocab_file, "w", encoding="utf-8") as vocab_writer:
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vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))
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def get_tokenizer(self, **kwargs):
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kwargs["lower_case"] = True
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return TransfoXLTokenizer.from_pretrained(self.tmpdirname, **kwargs)
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def get_input_output_texts(self, tokenizer):
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input_text = "<unk> UNwanted , running"
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output_text = "<unk> unwanted, running"
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return input_text, output_text
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def test_full_tokenizer(self):
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tokenizer = TransfoXLTokenizer(vocab_file=self.vocab_file, lower_case=True)
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tokens = tokenizer.tokenize("<unk> UNwanted , running")
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self.assertListEqual(tokens, ["<unk>", "unwanted", ",", "running"])
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self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [0, 4, 8, 7])
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def test_full_tokenizer_lower(self):
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tokenizer = TransfoXLTokenizer(lower_case=True)
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self.assertListEqual(
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tokenizer.tokenize(" \tHeLLo ! how \n Are yoU ? "), ["hello", "!", "how", "are", "you", "?"]
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)
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def test_full_tokenizer_no_lower(self):
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tokenizer = TransfoXLTokenizer(lower_case=False)
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self.assertListEqual(
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tokenizer.tokenize(" \tHeLLo ! how \n Are yoU ? "), ["HeLLo", "!", "how", "Are", "yoU", "?"]
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)
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def test_full_tokenizer_moses_numbers(self):
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tokenizer = TransfoXLTokenizer(lower_case=False)
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text_in = "Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"
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tokens_out = [
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"Hello",
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"(",
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"bracket",
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")",
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"and",
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"side",
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"@-@",
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"scrolled",
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"[",
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"and",
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"]",
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"Henry",
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"'s",
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"$",
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"5",
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"@,@",
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"000",
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"with",
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"3",
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"@.@",
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"34",
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"m",
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".",
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"What",
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"'s",
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"up",
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"!",
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"?",
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]
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self.assertListEqual(tokenizer.tokenize(text_in), tokens_out)
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self.assertEqual(tokenizer.convert_tokens_to_string(tokens_out), text_in)
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def test_move_added_token(self):
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tokenizer = self.get_tokenizer()
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original_len = len(tokenizer)
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tokenizer.add_tokens(["new1", "new2"])
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tokenizer.move_added_token("new1", 1)
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# Check that moved token is not copied (duplicate)
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self.assertEqual(len(tokenizer), original_len + 2)
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# Check that token is moved to specified id
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self.assertEqual(tokenizer.encode("new1"), [1])
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self.assertEqual(tokenizer.decode([1]), "new1")
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