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| import os
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| import tempfile
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| import six
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| import tensorflow as tf, tf_keras
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| from official.nlp.tools import tokenization
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| class TokenizationTest(tf.test.TestCase):
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| """Tokenization test.
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| The implementation is forked from
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| https://github.com/google-research/bert/blob/master/tokenization_test.py."
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| """
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| def test_full_tokenizer(self):
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| vocab_tokens = [
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| "[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn",
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| "##ing", ","
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| ]
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| with tempfile.NamedTemporaryFile(delete=False) as vocab_writer:
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| if six.PY2:
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| vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))
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| else:
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| vocab_writer.write("".join([x + "\n" for x in vocab_tokens
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| ]).encode("utf-8"))
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| vocab_file = vocab_writer.name
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| tokenizer = tokenization.FullTokenizer(vocab_file)
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| os.unlink(vocab_file)
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| tokens = tokenizer.tokenize(u"UNwant\u00E9d,running")
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| self.assertAllEqual(tokens, ["un", "##want", "##ed", ",", "runn", "##ing"])
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| self.assertAllEqual(
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| tokenizer.convert_tokens_to_ids(tokens), [7, 4, 5, 10, 8, 9])
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| def test_chinese(self):
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| tokenizer = tokenization.BasicTokenizer()
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| self.assertAllEqual(
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| tokenizer.tokenize(u"ah\u535A\u63A8zz"),
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| [u"ah", u"\u535A", u"\u63A8", u"zz"])
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| def test_basic_tokenizer_lower(self):
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| tokenizer = tokenization.BasicTokenizer(do_lower_case=True)
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| self.assertAllEqual(
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| tokenizer.tokenize(u" \tHeLLo!how \n Are yoU? "),
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| ["hello", "!", "how", "are", "you", "?"])
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| self.assertAllEqual(tokenizer.tokenize(u"H\u00E9llo"), ["hello"])
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| def test_basic_tokenizer_no_lower(self):
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| tokenizer = tokenization.BasicTokenizer(do_lower_case=False)
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| self.assertAllEqual(
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| tokenizer.tokenize(u" \tHeLLo!how \n Are yoU? "),
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| ["HeLLo", "!", "how", "Are", "yoU", "?"])
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| def test_basic_tokenizer_no_split_on_punc(self):
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| tokenizer = tokenization.BasicTokenizer(
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| do_lower_case=True, split_on_punc=False)
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| self.assertAllEqual(
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| tokenizer.tokenize(u" \tHeLLo!how \n Are yoU? "),
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| ["hello!how", "are", "you?"])
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| def test_wordpiece_tokenizer(self):
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| vocab_tokens = [
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| "[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn",
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| "##ing", "##!", "!"
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| ]
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| vocab = {}
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| for (i, token) in enumerate(vocab_tokens):
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| vocab[token] = i
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| tokenizer = tokenization.WordpieceTokenizer(vocab=vocab)
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| self.assertAllEqual(tokenizer.tokenize(""), [])
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| self.assertAllEqual(
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| tokenizer.tokenize("unwanted running"),
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| ["un", "##want", "##ed", "runn", "##ing"])
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| self.assertAllEqual(
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| tokenizer.tokenize("unwanted running !"),
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| ["un", "##want", "##ed", "runn", "##ing", "!"])
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| self.assertAllEqual(
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| tokenizer.tokenize("unwanted running!"),
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| ["un", "##want", "##ed", "runn", "##ing", "##!"])
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| self.assertAllEqual(
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| tokenizer.tokenize("unwantedX running"), ["[UNK]", "runn", "##ing"])
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| def test_convert_tokens_to_ids(self):
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| vocab_tokens = [
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| "[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn",
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| "##ing"
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| ]
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| vocab = {}
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| for (i, token) in enumerate(vocab_tokens):
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| vocab[token] = i
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| self.assertAllEqual(
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| tokenization.convert_tokens_to_ids(
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| vocab, ["un", "##want", "##ed", "runn", "##ing"]), [7, 4, 5, 8, 9])
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| def test_is_whitespace(self):
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| self.assertTrue(tokenization._is_whitespace(u" "))
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| self.assertTrue(tokenization._is_whitespace(u"\t"))
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| self.assertTrue(tokenization._is_whitespace(u"\r"))
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| self.assertTrue(tokenization._is_whitespace(u"\n"))
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| self.assertTrue(tokenization._is_whitespace(u"\u00A0"))
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| self.assertFalse(tokenization._is_whitespace(u"A"))
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| self.assertFalse(tokenization._is_whitespace(u"-"))
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| def test_is_control(self):
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| self.assertTrue(tokenization._is_control(u"\u0005"))
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| self.assertFalse(tokenization._is_control(u"A"))
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| self.assertFalse(tokenization._is_control(u" "))
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| self.assertFalse(tokenization._is_control(u"\t"))
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| self.assertFalse(tokenization._is_control(u"\r"))
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| self.assertFalse(tokenization._is_control(u"\U0001F4A9"))
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| def test_is_punctuation(self):
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| self.assertTrue(tokenization._is_punctuation(u"-"))
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| self.assertTrue(tokenization._is_punctuation(u"$"))
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| self.assertTrue(tokenization._is_punctuation(u"`"))
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| self.assertTrue(tokenization._is_punctuation(u"."))
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| self.assertFalse(tokenization._is_punctuation(u"A"))
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| self.assertFalse(tokenization._is_punctuation(u" "))
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| if __name__ == "__main__":
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| tf.test.main()
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|
