# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 from __future__ import division from __future__ import print_function import os import tempfile import tokenization import six import tensorflow as tf class TokenizationTest(tf.test.TestCase): def test_full_tokenizer(self): vocab_tokens = [ "[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing", "," ] with tempfile.NamedTemporaryFile(delete=False) as vocab_writer: if six.PY2: vocab_writer.write("".join([x + "\n" for x in vocab_tokens])) else: vocab_writer.write("".join( [x + "\n" for x in vocab_tokens]).encode("utf-8")) vocab_file = vocab_writer.name tokenizer = tokenization.FullTokenizer(vocab_file) os.unlink(vocab_file) tokens = tokenizer.tokenize(u"UNwant\u00E9d,running") self.assertAllEqual(tokens, ["un", "##want", "##ed", ",", "runn", "##ing"]) self.assertAllEqual( tokenizer.convert_tokens_to_ids(tokens), [7, 4, 5, 10, 8, 9]) def test_chinese(self): tokenizer = tokenization.BasicTokenizer() self.assertAllEqual( tokenizer.tokenize(u"ah\u535A\u63A8zz"), [u"ah", u"\u535A", u"\u63A8", u"zz"]) def test_basic_tokenizer_lower(self): tokenizer = tokenization.BasicTokenizer(do_lower_case=True) self.assertAllEqual( tokenizer.tokenize(u" \tHeLLo!how \n Are yoU? "), ["hello", "!", "how", "are", "you", "?"]) self.assertAllEqual(tokenizer.tokenize(u"H\u00E9llo"), ["hello"]) def test_basic_tokenizer_no_lower(self): tokenizer = tokenization.BasicTokenizer(do_lower_case=False) self.assertAllEqual( tokenizer.tokenize(u" \tHeLLo!how \n Are yoU? "), ["HeLLo", "!", "how", "Are", "yoU", "?"]) def test_wordpiece_tokenizer(self): vocab_tokens = [ "[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing" ] vocab = {} for (i, token) in enumerate(vocab_tokens): vocab[token] = i tokenizer = tokenization.WordpieceTokenizer(vocab=vocab) self.assertAllEqual(tokenizer.tokenize(""), []) self.assertAllEqual( tokenizer.tokenize("unwanted running"), ["un", "##want", "##ed", "runn", "##ing"]) self.assertAllEqual( tokenizer.tokenize("unwantedX running"), ["[UNK]", "runn", "##ing"]) def test_convert_tokens_to_ids(self): vocab_tokens = [ "[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing" ] vocab = {} for (i, token) in enumerate(vocab_tokens): vocab[token] = i self.assertAllEqual( tokenization.convert_tokens_to_ids( vocab, ["un", "##want", "##ed", "runn", "##ing"]), [7, 4, 5, 8, 9]) def test_is_whitespace(self): self.assertTrue(tokenization._is_whitespace(u" ")) self.assertTrue(tokenization._is_whitespace(u"\t")) self.assertTrue(tokenization._is_whitespace(u"\r")) self.assertTrue(tokenization._is_whitespace(u"\n")) self.assertTrue(tokenization._is_whitespace(u"\u00A0")) self.assertFalse(tokenization._is_whitespace(u"A")) self.assertFalse(tokenization._is_whitespace(u"-")) def test_is_control(self): self.assertTrue(tokenization._is_control(u"\u0005")) self.assertFalse(tokenization._is_control(u"A")) self.assertFalse(tokenization._is_control(u" ")) self.assertFalse(tokenization._is_control(u"\t")) self.assertFalse(tokenization._is_control(u"\r")) self.assertFalse(tokenization._is_control(u"\U0001F4A9")) def test_is_punctuation(self): self.assertTrue(tokenization._is_punctuation(u"-")) self.assertTrue(tokenization._is_punctuation(u"$")) self.assertTrue(tokenization._is_punctuation(u"`")) self.assertTrue(tokenization._is_punctuation(u".")) self.assertFalse(tokenization._is_punctuation(u"A")) self.assertFalse(tokenization._is_punctuation(u" ")) if __name__ == "__main__": tf.test.main()