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transformers/tests/models/roc_bert/test_tokenization_roc_bert.py

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# coding=utf-8
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# 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 json
import os
import unittest
from transformers.models.roc_bert.tokenization_roc_bert import (
VOCAB_FILES_NAMES,
RoCBertBasicTokenizer,
RoCBertTokenizer,
RoCBertWordpieceTokenizer,
_is_control,
_is_punctuation,
_is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow
from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
@require_tokenizers
class BertTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
from_pretrained_id = "weiweishi/roc-bert-base-zh"
tokenizer_class = RoCBertTokenizer
rust_tokenizer_class = None
test_rust_tokenizer = False
space_between_special_tokens = True
from_pretrained_filter = filter_non_english
def setUp(self):
super().setUp()
vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"]
word_shape = {}
word_pronunciation = {}
for i, value in enumerate(vocab_tokens):
word_shape[value] = i
word_pronunciation[value] = i
self.vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"])
self.word_shape_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["word_shape_file"])
self.word_pronunciation_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["word_pronunciation_file"])
with open(self.vocab_file, "w", encoding="utf-8") as vocab_writer:
vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))
with open(self.word_shape_file, "w", encoding="utf-8") as word_shape_writer:
json.dump(word_shape, word_shape_writer, ensure_ascii=False)
with open(self.word_pronunciation_file, "w", encoding="utf-8") as word_pronunciation_writer:
json.dump(word_pronunciation, word_pronunciation_writer, ensure_ascii=False)
def test_full_tokenizer(self):
tokenizer = self.tokenizer_class(self.vocab_file, self.word_shape_file, self.word_pronunciation_file)
tokens = tokenizer.tokenize("你好[SEP]你是谁")
self.assertListEqual(tokens, ["你", "好", "[SEP]", "你", "是", "谁"])
self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [5, 6, 2, 5, 7, 8])
self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(tokens), [5, 6, 2, 5, 7, 8])
self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(tokens), [5, 6, 2, 5, 7, 8])
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_chinese with BasicTokenizer->RoCBertBasicTokenizer
def test_chinese(self):
tokenizer = RoCBertBasicTokenizer()
self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"), ["ah", "\u535A", "\u63A8", "zz"])
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_basic_tokenizer_lower with BasicTokenizer->RoCBertBasicTokenizer
def test_basic_tokenizer_lower(self):
tokenizer = RoCBertBasicTokenizer(do_lower_case=True)
self.assertListEqual(
tokenizer.tokenize(" \tHeLLo!how \n Are yoU? "), ["hello", "!", "how", "are", "you", "?"]
)
self.assertListEqual(tokenizer.tokenize("H\u00E9llo"), ["hello"])
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_basic_tokenizer_lower_strip_accents_false with BasicTokenizer->RoCBertBasicTokenizer
def test_basic_tokenizer_lower_strip_accents_false(self):
tokenizer = RoCBertBasicTokenizer(do_lower_case=True, strip_accents=False)
self.assertListEqual(
tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["hällo", "!", "how", "are", "you", "?"]
)
self.assertListEqual(tokenizer.tokenize("H\u00E9llo"), ["h\u00E9llo"])
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_basic_tokenizer_lower_strip_accents_true with BasicTokenizer->RoCBertBasicTokenizer
def test_basic_tokenizer_lower_strip_accents_true(self):
tokenizer = RoCBertBasicTokenizer(do_lower_case=True, strip_accents=True)
self.assertListEqual(
tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["hallo", "!", "how", "are", "you", "?"]
)
self.assertListEqual(tokenizer.tokenize("H\u00E9llo"), ["hello"])
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_basic_tokenizer_lower_strip_accents_default with BasicTokenizer->RoCBertBasicTokenizer
def test_basic_tokenizer_lower_strip_accents_default(self):
tokenizer = RoCBertBasicTokenizer(do_lower_case=True)
self.assertListEqual(
tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["hallo", "!", "how", "are", "you", "?"]
)
self.assertListEqual(tokenizer.tokenize("H\u00E9llo"), ["hello"])
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_basic_tokenizer_no_lower with BasicTokenizer->RoCBertBasicTokenizer
def test_basic_tokenizer_no_lower(self):
tokenizer = RoCBertBasicTokenizer(do_lower_case=False)
self.assertListEqual(
tokenizer.tokenize(" \tHeLLo!how \n Are yoU? "), ["HeLLo", "!", "how", "Are", "yoU", "?"]
)
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_basic_tokenizer_no_lower_strip_accents_false with BasicTokenizer->RoCBertBasicTokenizer
def test_basic_tokenizer_no_lower_strip_accents_false(self):
tokenizer = RoCBertBasicTokenizer(do_lower_case=False, strip_accents=False)
self.assertListEqual(
tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["HäLLo", "!", "how", "Are", "yoU", "?"]
)
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_basic_tokenizer_no_lower_strip_accents_true with BasicTokenizer->RoCBertBasicTokenizer
def test_basic_tokenizer_no_lower_strip_accents_true(self):
tokenizer = RoCBertBasicTokenizer(do_lower_case=False, strip_accents=True)
self.assertListEqual(
tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["HaLLo", "!", "how", "Are", "yoU", "?"]
)
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_basic_tokenizer_respects_never_split_tokens with BasicTokenizer->RoCBertBasicTokenizer
def test_basic_tokenizer_respects_never_split_tokens(self):
tokenizer = RoCBertBasicTokenizer(do_lower_case=False, never_split=["[UNK]"])
self.assertListEqual(
tokenizer.tokenize(" \tHeLLo!how \n Are yoU? [UNK]"), ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]
)
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_wordpiece_tokenizer with WordpieceTokenizer->RoCBertWordpieceTokenizer
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 = RoCBertWordpieceTokenizer(vocab=vocab, unk_token="[UNK]")
self.assertListEqual(tokenizer.tokenize(""), [])
self.assertListEqual(tokenizer.tokenize("unwanted running"), ["un", "##want", "##ed", "runn", "##ing"])
self.assertListEqual(tokenizer.tokenize("unwantedX running"), ["[UNK]", "runn", "##ing"])
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_is_whitespace
def test_is_whitespace(self):
self.assertTrue(_is_whitespace(" "))
self.assertTrue(_is_whitespace("\t"))
self.assertTrue(_is_whitespace("\r"))
self.assertTrue(_is_whitespace("\n"))
self.assertTrue(_is_whitespace("\u00A0"))
self.assertFalse(_is_whitespace("A"))
self.assertFalse(_is_whitespace("-"))
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_is_control
def test_is_control(self):
self.assertTrue(_is_control("\u0005"))
self.assertFalse(_is_control("A"))
self.assertFalse(_is_control(" "))
self.assertFalse(_is_control("\t"))
self.assertFalse(_is_control("\r"))
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_is_punctuation
def test_is_punctuation(self):
self.assertTrue(_is_punctuation("-"))
self.assertTrue(_is_punctuation("$"))
self.assertTrue(_is_punctuation("`"))
self.assertTrue(_is_punctuation("."))
self.assertFalse(_is_punctuation("A"))
self.assertFalse(_is_punctuation(" "))
def test_clean_text(self):
tokenizer = self.get_tokenizer()
# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
self.assertListEqual([tokenizer.tokenize(t) for t in ["Test", "\xad", "test"]], [["[UNK]"], [], ["[UNK]"]])
if self.test_rust_tokenizer:
rust_tokenizer = self.get_rust_tokenizer()
self.assertListEqual(
[rust_tokenizer.tokenize(t) for t in ["Test", "\xad", "test"]], [["[UNK]"], [], ["[UNK]"]]
)
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_offsets_with_special_characters
def test_offsets_with_special_characters(self):
for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"):
tokenizer_r = self.rust_tokenizer_class.from_pretrained(pretrained_name, **kwargs)
sentence = f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
tokens = tokenizer_r.encode_plus(
sentence,
return_attention_mask=False,
return_token_type_ids=False,
return_offsets_mapping=True,
add_special_tokens=True,
)
do_lower_case = tokenizer_r.do_lower_case if hasattr(tokenizer_r, "do_lower_case") else False
expected_results = (
[
((0, 0), tokenizer_r.cls_token),
((0, 1), "A"),
((1, 2), ","),
((3, 5), "na"),
((5, 6), "##ï"),
((6, 8), "##ve"),
((9, 15), tokenizer_r.mask_token),
((16, 21), "Allen"),
((21, 23), "##NL"),
((23, 24), "##P"),
((25, 33), "sentence"),
((33, 34), "."),
((0, 0), tokenizer_r.sep_token),
]
if not do_lower_case
else [
((0, 0), tokenizer_r.cls_token),
((0, 1), "a"),
((1, 2), ","),
((3, 8), "naive"),
((9, 15), tokenizer_r.mask_token),
((16, 21), "allen"),
((21, 23), "##nl"),
((23, 24), "##p"),
((25, 33), "sentence"),
((33, 34), "."),
((0, 0), tokenizer_r.sep_token),
]
)
self.assertEqual(
[e[1] for e in expected_results], tokenizer_r.convert_ids_to_tokens(tokens["input_ids"])
)
self.assertEqual([e[0] for e in expected_results], tokens["offset_mapping"])
# Copied from tests.models.bert.test_tokenization_bert.BertTokenizationTest.test_change_tokenize_chinese_chars
def test_change_tokenize_chinese_chars(self):
list_of_commun_chinese_char = ["的", "人", "有"]
text_with_chinese_char = "".join(list_of_commun_chinese_char)
for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"):
kwargs["tokenize_chinese_chars"] = True
tokenizer_p = self.tokenizer_class.from_pretrained(pretrained_name, **kwargs)
tokenizer_r = self.rust_tokenizer_class.from_pretrained(pretrained_name, **kwargs)
ids_without_spe_char_p = tokenizer_p.encode(text_with_chinese_char, add_special_tokens=False)
ids_without_spe_char_r = tokenizer_r.encode(text_with_chinese_char, add_special_tokens=False)
tokens_without_spe_char_r = tokenizer_r.convert_ids_to_tokens(ids_without_spe_char_r)
tokens_without_spe_char_p = tokenizer_p.convert_ids_to_tokens(ids_without_spe_char_p)
# it is expected that each Chinese character is not preceded by "##"
self.assertListEqual(tokens_without_spe_char_p, list_of_commun_chinese_char)
self.assertListEqual(tokens_without_spe_char_r, list_of_commun_chinese_char)
kwargs["tokenize_chinese_chars"] = False
tokenizer_r = self.rust_tokenizer_class.from_pretrained(pretrained_name, **kwargs)
tokenizer_p = self.tokenizer_class.from_pretrained(pretrained_name, **kwargs)
ids_without_spe_char_r = tokenizer_r.encode(text_with_chinese_char, add_special_tokens=False)
ids_without_spe_char_p = tokenizer_p.encode(text_with_chinese_char, add_special_tokens=False)
tokens_without_spe_char_r = tokenizer_r.convert_ids_to_tokens(ids_without_spe_char_r)
tokens_without_spe_char_p = tokenizer_p.convert_ids_to_tokens(ids_without_spe_char_p)
# it is expected that only the first Chinese character is not preceded by "##".
expected_tokens = [
f"##{token}" if idx != 0 else token for idx, token in enumerate(list_of_commun_chinese_char)
]
self.assertListEqual(tokens_without_spe_char_p, expected_tokens)
self.assertListEqual(tokens_without_spe_char_r, expected_tokens)
@slow
def test_sequence_builders(self):
tokenizer = self.tokenizer_class(self.vocab_file, self.word_shape_file, self.word_pronunciation_file)
text = tokenizer.encode("你好", add_special_tokens=False)
text_2 = tokenizer.encode("你是谁", add_special_tokens=False)
encoded_sentence = tokenizer.build_inputs_with_special_tokens(text)
encoded_pair = tokenizer.build_inputs_with_special_tokens(text, text_2)
assert encoded_sentence == [1] + text + [2]
assert encoded_pair == [1] + text + [2] + text_2 + [2]
def test_prepare_for_model(self):
tokenizers = self.get_tokenizers(do_lower_case=False)
for tokenizer in tokenizers:
with self.subTest(f"{tokenizer.__class__.__name__}"):
string_sequence = "你好，你是谁"
tokens = tokenizer.tokenize(string_sequence)
tokens_ids = tokenizer.convert_tokens_to_ids(tokens)
tokens_shape_ids = tokenizer.convert_tokens_to_shape_ids(tokens)
tokens_proun_ids = tokenizer.convert_tokens_to_pronunciation_ids(tokens)
prepared_input_dict = tokenizer.prepare_for_model(
tokens_ids, tokens_shape_ids, tokens_proun_ids, add_special_tokens=True
)
input_dict = tokenizer.encode_plus(string_sequence, add_special_tokens=True)
self.assertEqual(input_dict, prepared_input_dict)
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