mirror of
https://github.com/huggingface/transformers.git
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136 lines
5.2 KiB
Python
136 lines
5.2 KiB
Python
# coding=utf-8
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# Copyright 2019 HuggingFace Inc.
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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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from __future__ import absolute_import, division, print_function, unicode_literals
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import os
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import sys
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from io import open
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import tempfile
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import shutil
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if sys.version_info[0] == 2:
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import cPickle as pickle
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class TemporaryDirectory(object):
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"""Context manager for tempfile.mkdtemp() so it's usable with "with" statement."""
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def __enter__(self):
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self.name = tempfile.mkdtemp()
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return self.name
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def __exit__(self, exc_type, exc_value, traceback):
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shutil.rmtree(self.name)
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else:
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import pickle
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TemporaryDirectory = tempfile.TemporaryDirectory
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unicode = str
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def create_and_check_save_and_load_tokenizer(tester, tokenizer_class, *inputs, **kwargs):
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tokenizer = tokenizer_class.from_pretrained(*inputs, **kwargs)
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before_tokens = tokenizer.encode(u"He is very happy, UNwant\u00E9d,running")
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with TemporaryDirectory() as tmpdirname:
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tokenizer.save_pretrained(tmpdirname)
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tokenizer = tokenizer.from_pretrained(tmpdirname)
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after_tokens = tokenizer.encode(u"He is very happy, UNwant\u00E9d,running")
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tester.assertListEqual(before_tokens, after_tokens)
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def create_and_check_pickle_tokenizer(tester, tokenizer_class, *inputs, **kwargs):
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tokenizer = tokenizer_class.from_pretrained(*inputs, **kwargs)
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tester.assertIsNotNone(tokenizer)
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text = u"Munich and Berlin are nice cities"
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subwords = tokenizer.tokenize(text)
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with TemporaryDirectory() as tmpdirname:
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filename = os.path.join(tmpdirname, u"tokenizer.bin")
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pickle.dump(tokenizer, open(filename, "wb"))
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tokenizer_new = pickle.load(open(filename, "rb"))
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subwords_loaded = tokenizer_new.tokenize(text)
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tester.assertListEqual(subwords, subwords_loaded)
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def create_and_check_add_tokens_tokenizer(tester, tokenizer_class, *inputs, **kwargs):
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tokenizer = tokenizer_class.from_pretrained(*inputs, **kwargs)
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vocab_size = tokenizer.vocab_size
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all_size = len(tokenizer)
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tester.assertNotEqual(vocab_size, 0)
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tester.assertEqual(vocab_size, all_size)
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new_toks = ["aaaaabbbbbb", "cccccccccdddddddd"]
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added_toks = tokenizer.add_tokens(new_toks)
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vocab_size_2 = tokenizer.vocab_size
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all_size_2 = len(tokenizer)
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tester.assertNotEqual(vocab_size_2, 0)
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tester.assertEqual(vocab_size, vocab_size_2)
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tester.assertEqual(added_toks, len(new_toks))
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tester.assertEqual(all_size_2, all_size + len(new_toks))
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tokens = tokenizer.encode("aaaaabbbbbb low cccccccccdddddddd l")
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tester.assertGreaterEqual(len(tokens), 4)
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tester.assertGreater(tokens[0], tokenizer.vocab_size - 1)
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tester.assertGreater(tokens[-2], tokenizer.vocab_size - 1)
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new_toks_2 = {'eos_token': ">>>>|||<||<<|<<",
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'pad_token': "<<<<<|||>|>>>>|>"}
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added_toks_2 = tokenizer.add_special_tokens(new_toks_2)
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vocab_size_3 = tokenizer.vocab_size
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all_size_3 = len(tokenizer)
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tester.assertNotEqual(vocab_size_3, 0)
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tester.assertEqual(vocab_size, vocab_size_3)
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tester.assertEqual(added_toks_2, len(new_toks_2))
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tester.assertEqual(all_size_3, all_size_2 + len(new_toks_2))
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tokens = tokenizer.encode(">>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l")
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tester.assertGreaterEqual(len(tokens), 6)
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tester.assertGreater(tokens[0], tokenizer.vocab_size - 1)
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tester.assertGreater(tokens[0], tokens[1])
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tester.assertGreater(tokens[-2], tokenizer.vocab_size - 1)
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tester.assertGreater(tokens[-2], tokens[-3])
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tester.assertEqual(tokens[0], tokenizer.convert_tokens_to_ids(tokenizer.eos_token))
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tester.assertEqual(tokens[-2], tokenizer.convert_tokens_to_ids(tokenizer.pad_token))
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def create_and_check_required_methods_tokenizer(tester, tokenizer_class, *inputs, **kwargs):
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tokenizer = tokenizer_class.from_pretrained(*inputs, **kwargs)
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text = u"He is very happy, UNwant\u00E9d,running"
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tokens = tokenizer.tokenize(text)
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ids = tokenizer.convert_tokens_to_ids(tokens)
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ids_2 = tokenizer.encode(text)
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tester.assertListEqual(ids, ids_2)
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tokens_2 = tokenizer.convert_ids_to_tokens(ids)
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text_2 = tokenizer.decode(ids)
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tester.assertNotEqual(len(tokens_2), 0)
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tester.assertIsInstance(text_2, (str, unicode))
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def create_and_check_tokenizer_commons(tester, tokenizer_class, *inputs, **kwargs):
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create_and_check_required_methods_tokenizer(tester, tokenizer_class, *inputs, **kwargs)
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create_and_check_add_tokens_tokenizer(tester, tokenizer_class, *inputs, **kwargs)
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create_and_check_save_and_load_tokenizer(tester, tokenizer_class, *inputs, **kwargs)
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create_and_check_pickle_tokenizer(tester, tokenizer_class, *inputs, **kwargs)
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