# coding=utf-8 # Copyright 2019 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from __future__ import absolute_import, division, print_function, unicode_literals import os import sys from io import open import tempfile import shutil if sys.version_info[0] == 2: import cPickle as pickle class TemporaryDirectory(object): """Context manager for tempfile.mkdtemp() so it's usable with "with" statement.""" def __enter__(self): self.name = tempfile.mkdtemp() return self.name def __exit__(self, exc_type, exc_value, traceback): shutil.rmtree(self.name) else: import pickle TemporaryDirectory = tempfile.TemporaryDirectory unicode = str def create_and_check_save_and_load_tokenizer(tester, tokenizer_class, *inputs, **kwargs): tokenizer = tokenizer_class.from_pretrained(*inputs, **kwargs) before_tokens = tokenizer.encode(u"He is very happy, UNwant\u00E9d,running") with TemporaryDirectory() as tmpdirname: tokenizer.save_pretrained(tmpdirname) tokenizer = tokenizer.from_pretrained(tmpdirname) after_tokens = tokenizer.encode(u"He is very happy, UNwant\u00E9d,running") tester.assertListEqual(before_tokens, after_tokens) def create_and_check_pickle_tokenizer(tester, tokenizer_class, *inputs, **kwargs): tokenizer = tokenizer_class.from_pretrained(*inputs, **kwargs) tester.assertIsNotNone(tokenizer) text = u"Munich and Berlin are nice cities" subwords = tokenizer.tokenize(text) with TemporaryDirectory() as tmpdirname: filename = os.path.join(tmpdirname, u"tokenizer.bin") pickle.dump(tokenizer, open(filename, "wb")) tokenizer_new = pickle.load(open(filename, "rb")) subwords_loaded = tokenizer_new.tokenize(text) tester.assertListEqual(subwords, subwords_loaded) def create_and_check_add_tokens_tokenizer(tester, tokenizer_class, *inputs, **kwargs): tokenizer = tokenizer_class.from_pretrained(*inputs, **kwargs) vocab_size = tokenizer.vocab_size all_size = len(tokenizer) tester.assertNotEqual(vocab_size, 0) tester.assertEqual(vocab_size, all_size) new_toks = ["aaaaabbbbbb", "cccccccccdddddddd"] added_toks = tokenizer.add_tokens(new_toks) vocab_size_2 = tokenizer.vocab_size all_size_2 = len(tokenizer) tester.assertNotEqual(vocab_size_2, 0) tester.assertEqual(vocab_size, vocab_size_2) tester.assertEqual(added_toks, len(new_toks)) tester.assertEqual(all_size_2, all_size + len(new_toks)) tokens = tokenizer.encode("aaaaabbbbbb low cccccccccdddddddd l") tester.assertGreaterEqual(len(tokens), 4) tester.assertGreater(tokens[0], tokenizer.vocab_size - 1) tester.assertGreater(tokens[-2], tokenizer.vocab_size - 1) new_toks_2 = {'eos_token': ">>>>|||<||<<|<<", 'pad_token': "<<<<<|||>|>>>>|>"} added_toks_2 = tokenizer.add_special_tokens(new_toks_2) vocab_size_3 = tokenizer.vocab_size all_size_3 = len(tokenizer) tester.assertNotEqual(vocab_size_3, 0) tester.assertEqual(vocab_size, vocab_size_3) tester.assertEqual(added_toks_2, len(new_toks_2)) tester.assertEqual(all_size_3, all_size_2 + len(new_toks_2)) tokens = tokenizer.encode(">>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l") tester.assertGreaterEqual(len(tokens), 6) tester.assertGreater(tokens[0], tokenizer.vocab_size - 1) tester.assertGreater(tokens[0], tokens[1]) tester.assertGreater(tokens[-2], tokenizer.vocab_size - 1) tester.assertGreater(tokens[-2], tokens[-3]) tester.assertEqual(tokens[0], tokenizer.convert_tokens_to_ids(tokenizer.eos_token)) tester.assertEqual(tokens[-2], tokenizer.convert_tokens_to_ids(tokenizer.pad_token)) def create_and_check_required_methods_tokenizer(tester, input_text, output_text, tokenizer_class, *inputs, **kwargs): tokenizer = tokenizer_class.from_pretrained(*inputs, **kwargs) tokens = tokenizer.tokenize(input_text) ids = tokenizer.convert_tokens_to_ids(tokens) ids_2 = tokenizer.encode(input_text) tester.assertListEqual(ids, ids_2) tokens_2 = tokenizer.convert_ids_to_tokens(ids) text_2 = tokenizer.decode(ids) tester.assertEqual(text_2, output_text) tester.assertNotEqual(len(tokens_2), 0) tester.assertIsInstance(text_2, (str, unicode)) def create_and_check_tokenizer_commons(tester, input_text, output_text, tokenizer_class, *inputs, **kwargs): create_and_check_required_methods_tokenizer(tester, input_text, output_text, tokenizer_class, *inputs, **kwargs) create_and_check_add_tokens_tokenizer(tester, tokenizer_class, *inputs, **kwargs) create_and_check_save_and_load_tokenizer(tester, tokenizer_class, *inputs, **kwargs) create_and_check_pickle_tokenizer(tester, tokenizer_class, *inputs, **kwargs)