tokenization_test.py 5.09 KB
Newer Older
Frederick Liu's avatar
Frederick Liu committed
1
# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
#
# 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.

import os
import tempfile

import six
import tensorflow as tf

21
from official.nlp.bert import tokenization
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75


class TokenizationTest(tf.test.TestCase):
  """Tokenization test.

    The implementation is forked from
    https://github.com/google-research/bert/blob/master/tokenization_test.py."
  """

  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", "?"])

A. Unique TensorFlower's avatar
A. Unique TensorFlower committed
76
77
78
79
80
81
82
83
  def test_basic_tokenizer_no_split_on_punc(self):
    tokenizer = tokenization.BasicTokenizer(
        do_lower_case=True, split_on_punc=False)

    self.assertAllEqual(
        tokenizer.tokenize(u" \tHeLLo!how  \n Are yoU?  "),
        ["hello!how", "are", "you?"])

84
85
86
  def test_wordpiece_tokenizer(self):
    vocab_tokens = [
        "[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn",
A. Unique TensorFlower's avatar
A. Unique TensorFlower committed
87
        "##ing", "##!", "!"
88
89
90
91
92
93
94
95
96
97
98
99
100
    ]

    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"])

A. Unique TensorFlower's avatar
A. Unique TensorFlower committed
101
102
103
104
105
106
107
108
    self.assertAllEqual(
        tokenizer.tokenize("unwanted running !"),
        ["un", "##want", "##ed", "runn", "##ing", "!"])

    self.assertAllEqual(
        tokenizer.tokenize("unwanted running!"),
        ["un", "##want", "##ed", "runn", "##ing", "##!"])

109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
    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()