138 lines
4.5 KiB
Python
138 lines
4.5 KiB
Python
|
# 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()
|