502 lines
22 KiB
Python
502 lines
22 KiB
Python
# coding=utf-8
|
||
# Copyright 2020 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 os
|
||
import pickle
|
||
import unittest
|
||
|
||
from transformers import AutoTokenizer
|
||
from transformers.models.bert.tokenization_bert import BertTokenizer
|
||
from transformers.models.bert_japanese.tokenization_bert_japanese import (
|
||
VOCAB_FILES_NAMES,
|
||
BertJapaneseTokenizer,
|
||
CharacterTokenizer,
|
||
JumanppTokenizer,
|
||
MecabTokenizer,
|
||
SudachiTokenizer,
|
||
WordpieceTokenizer,
|
||
)
|
||
from transformers.testing_utils import custom_tokenizers, require_jumanpp, require_sudachi_projection
|
||
|
||
from ...test_tokenization_common import TokenizerTesterMixin
|
||
|
||
|
||
@custom_tokenizers
|
||
class BertJapaneseTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
|
||
from_pretrained_id = "cl-tohoku/bert-base-japanese"
|
||
tokenizer_class = BertJapaneseTokenizer
|
||
test_rust_tokenizer = False
|
||
space_between_special_tokens = True
|
||
|
||
def setUp(self):
|
||
super().setUp()
|
||
|
||
vocab_tokens = [
|
||
"[UNK]",
|
||
"[CLS]",
|
||
"[SEP]",
|
||
"こんにちは",
|
||
"こん",
|
||
"にちは",
|
||
"ばんは",
|
||
"##こん",
|
||
"##にちは",
|
||
"##ばんは",
|
||
"世界",
|
||
"##世界",
|
||
"、",
|
||
"##、",
|
||
"。",
|
||
"##。",
|
||
"アップルストア",
|
||
"外国",
|
||
"##人",
|
||
"参政",
|
||
"##権",
|
||
"此れ",
|
||
"は",
|
||
"猫",
|
||
"です",
|
||
]
|
||
|
||
self.vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"])
|
||
with open(self.vocab_file, "w", encoding="utf-8") as vocab_writer:
|
||
vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))
|
||
|
||
def get_input_output_texts(self, tokenizer):
|
||
input_text = "こんにちは、世界。 \nこんばんは、世界。"
|
||
output_text = "こんにちは 、 世界 。 こんばんは 、 世界 。"
|
||
return input_text, output_text
|
||
|
||
def get_clean_sequence(self, tokenizer):
|
||
input_text, output_text = self.get_input_output_texts(tokenizer)
|
||
ids = tokenizer.encode(output_text, add_special_tokens=False)
|
||
text = tokenizer.decode(ids, clean_up_tokenization_spaces=False)
|
||
return text, ids
|
||
|
||
def test_pretokenized_inputs(self):
|
||
pass # TODO add if relevant
|
||
|
||
def test_maximum_encoding_length_pair_input(self):
|
||
pass # TODO add if relevant
|
||
|
||
def test_maximum_encoding_length_single_input(self):
|
||
pass # TODO add if relevant
|
||
|
||
def test_full_tokenizer(self):
|
||
tokenizer = self.tokenizer_class(self.vocab_file)
|
||
|
||
tokens = tokenizer.tokenize("こんにちは、世界。\nこんばんは、世界。")
|
||
self.assertListEqual(tokens, ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"])
|
||
self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [3, 12, 10, 14, 4, 9, 12, 10, 14])
|
||
|
||
def test_pickle_mecab_tokenizer(self):
|
||
tokenizer = self.tokenizer_class(self.vocab_file, word_tokenizer_type="mecab")
|
||
self.assertIsNotNone(tokenizer)
|
||
|
||
text = "こんにちは、世界。\nこんばんは、世界。"
|
||
tokens = tokenizer.tokenize(text)
|
||
self.assertListEqual(tokens, ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"])
|
||
self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [3, 12, 10, 14, 4, 9, 12, 10, 14])
|
||
|
||
filename = os.path.join(self.tmpdirname, "tokenizer.bin")
|
||
with open(filename, "wb") as handle:
|
||
pickle.dump(tokenizer, handle)
|
||
|
||
with open(filename, "rb") as handle:
|
||
tokenizer_new = pickle.load(handle)
|
||
|
||
tokens_loaded = tokenizer_new.tokenize(text)
|
||
|
||
self.assertListEqual(tokens, tokens_loaded)
|
||
|
||
def test_mecab_full_tokenizer_with_mecab_kwargs(self):
|
||
tokenizer = self.tokenizer_class(
|
||
self.vocab_file, word_tokenizer_type="mecab", mecab_kwargs={"mecab_dic": "ipadic"}
|
||
)
|
||
|
||
text = "ｱｯﾌﾟﾙストア"
|
||
tokens = tokenizer.tokenize(text)
|
||
self.assertListEqual(tokens, ["アップルストア"])
|
||
|
||
def test_mecab_tokenizer_ipadic(self):
|
||
tokenizer = MecabTokenizer(mecab_dic="ipadic")
|
||
|
||
self.assertListEqual(
|
||
tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),
|
||
["アップルストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"],
|
||
)
|
||
|
||
def test_mecab_tokenizer_unidic_lite(self):
|
||
try:
|
||
tokenizer = MecabTokenizer(mecab_dic="unidic_lite")
|
||
except ModuleNotFoundError:
|
||
return
|
||
|
||
self.assertListEqual(
|
||
tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),
|
||
["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"],
|
||
)
|
||
|
||
def test_mecab_tokenizer_unidic(self):
|
||
try:
|
||
import unidic
|
||
|
||
self.assertTrue(
|
||
os.path.isdir(unidic.DICDIR),
|
||
"The content of unidic was not downloaded. Run `python -m unidic download` before running this test case. Note that this requires 2.1GB on disk.",
|
||
)
|
||
tokenizer = MecabTokenizer(mecab_dic="unidic")
|
||
except ModuleNotFoundError:
|
||
return
|
||
|
||
self.assertListEqual(
|
||
tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),
|
||
["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"],
|
||
)
|
||
|
||
def test_mecab_tokenizer_lower(self):
|
||
tokenizer = MecabTokenizer(do_lower_case=True, mecab_dic="ipadic")
|
||
|
||
self.assertListEqual(
|
||
tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),
|
||
["アップルストア", "で", "iphone", "8", "が", "発売", "さ", "れ", "た", "。"],
|
||
)
|
||
|
||
def test_mecab_tokenizer_with_option(self):
|
||
try:
|
||
tokenizer = MecabTokenizer(
|
||
do_lower_case=True, normalize_text=False, mecab_option="-d /usr/local/lib/mecab/dic/jumandic"
|
||
)
|
||
except RuntimeError:
|
||
# if dict doesn't exist in the system, previous code raises this error.
|
||
return
|
||
|
||
self.assertListEqual(
|
||
tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),
|
||
["ｱｯﾌﾟﾙストア", "で", "iPhone", "８", "が", "発売", "さ", "れた", "\u3000", "。"],
|
||
)
|
||
|
||
def test_mecab_tokenizer_no_normalize(self):
|
||
tokenizer = MecabTokenizer(normalize_text=False, mecab_dic="ipadic")
|
||
|
||
self.assertListEqual(
|
||
tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),
|
||
["ｱｯﾌﾟﾙストア", "で", "iPhone", "８", "が", "発売", "さ", "れ", "た", " ", "。"],
|
||
)
|
||
|
||
@require_sudachi_projection
|
||
def test_pickle_sudachi_tokenizer(self):
|
||
tokenizer = self.tokenizer_class(self.vocab_file, word_tokenizer_type="sudachi")
|
||
self.assertIsNotNone(tokenizer)
|
||
|
||
text = "こんにちは、世界。\nこんばんは、世界。"
|
||
tokens = tokenizer.tokenize(text)
|
||
self.assertListEqual(tokens, ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"])
|
||
self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [3, 12, 10, 14, 4, 9, 12, 10, 14])
|
||
|
||
filename = os.path.join(self.tmpdirname, "tokenizer.bin")
|
||
with open(filename, "wb") as handle:
|
||
pickle.dump(tokenizer, handle)
|
||
|
||
with open(filename, "rb") as handle:
|
||
tokenizer_new = pickle.load(handle)
|
||
|
||
tokens_loaded = tokenizer_new.tokenize(text)
|
||
|
||
self.assertListEqual(tokens, tokens_loaded)
|
||
|
||
@require_sudachi_projection
|
||
def test_sudachi_tokenizer_core(self):
|
||
tokenizer = SudachiTokenizer(sudachi_dict_type="core")
|
||
|
||
# fmt: off
|
||
self.assertListEqual(
|
||
tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),
|
||
[" ", "\t", "アップル", "ストア", "で", "iPhone", "8", " ", "が", " ", " ", "\n ", "発売", "さ", "れ", "た", " ", "。", " ", " "],
|
||
)
|
||
# fmt: on
|
||
|
||
@require_sudachi_projection
|
||
def test_sudachi_tokenizer_split_mode_A(self):
|
||
tokenizer = SudachiTokenizer(sudachi_dict_type="core", sudachi_split_mode="A")
|
||
|
||
self.assertListEqual(tokenizer.tokenize("外国人参政権"), ["外国", "人", "参政", "権"])
|
||
|
||
@require_sudachi_projection
|
||
def test_sudachi_tokenizer_split_mode_B(self):
|
||
tokenizer = SudachiTokenizer(sudachi_dict_type="core", sudachi_split_mode="B")
|
||
|
||
self.assertListEqual(tokenizer.tokenize("外国人参政権"), ["外国人", "参政権"])
|
||
|
||
@require_sudachi_projection
|
||
def test_sudachi_tokenizer_split_mode_C(self):
|
||
tokenizer = SudachiTokenizer(sudachi_dict_type="core", sudachi_split_mode="C")
|
||
|
||
self.assertListEqual(tokenizer.tokenize("外国人参政権"), ["外国人参政権"])
|
||
|
||
@require_sudachi_projection
|
||
def test_sudachi_full_tokenizer_with_sudachi_kwargs_split_mode_B(self):
|
||
tokenizer = self.tokenizer_class(
|
||
self.vocab_file, word_tokenizer_type="sudachi", sudachi_kwargs={"sudachi_split_mode": "B"}
|
||
)
|
||
|
||
self.assertListEqual(tokenizer.tokenize("外国人参政権"), ["外国", "##人", "参政", "##権"])
|
||
|
||
@require_sudachi_projection
|
||
def test_sudachi_tokenizer_projection(self):
|
||
tokenizer = SudachiTokenizer(
|
||
sudachi_dict_type="core", sudachi_split_mode="A", sudachi_projection="normalized_nouns"
|
||
)
|
||
|
||
self.assertListEqual(tokenizer.tokenize("これはねこです。"), ["此れ", "は", "猫", "です", "。"])
|
||
|
||
@require_sudachi_projection
|
||
def test_sudachi_full_tokenizer_with_sudachi_kwargs_sudachi_projection(self):
|
||
tokenizer = self.tokenizer_class(
|
||
self.vocab_file, word_tokenizer_type="sudachi", sudachi_kwargs={"sudachi_projection": "normalized_nouns"}
|
||
)
|
||
|
||
self.assertListEqual(tokenizer.tokenize("これはねこです。"), ["此れ", "は", "猫", "です", "。"])
|
||
|
||
@require_sudachi_projection
|
||
def test_sudachi_tokenizer_lower(self):
|
||
tokenizer = SudachiTokenizer(do_lower_case=True, sudachi_dict_type="core")
|
||
|
||
self.assertListEqual(tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),[" ", "\t", "アップル", "ストア", "で", "iphone", "8", " ", "が", " ", " ", "\n ", "発売", "さ", "れ", "た", " ", "。", " ", " "]) # fmt: skip
|
||
|
||
@require_sudachi_projection
|
||
def test_sudachi_tokenizer_no_normalize(self):
|
||
tokenizer = SudachiTokenizer(normalize_text=False, sudachi_dict_type="core")
|
||
|
||
self.assertListEqual(tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),[" ", "\t", "ｱｯﾌﾟﾙ", "ストア", "で", "iPhone", "８", " ", "が", " ", " ", "\n ", "発売", "さ", "れ", "た", "\u3000", "。", " ", " "]) # fmt: skip
|
||
|
||
@require_sudachi_projection
|
||
def test_sudachi_tokenizer_trim_whitespace(self):
|
||
tokenizer = SudachiTokenizer(trim_whitespace=True, sudachi_dict_type="core")
|
||
|
||
self.assertListEqual(
|
||
tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),
|
||
["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"],
|
||
)
|
||
|
||
@require_jumanpp
|
||
def test_pickle_jumanpp_tokenizer(self):
|
||
tokenizer = self.tokenizer_class(self.vocab_file, word_tokenizer_type="jumanpp")
|
||
self.assertIsNotNone(tokenizer)
|
||
|
||
text = "こんにちは、世界。\nこんばんは、世界。"
|
||
tokens = tokenizer.tokenize(text)
|
||
self.assertListEqual(tokens, ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"])
|
||
self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [3, 12, 10, 14, 4, 9, 12, 10, 14])
|
||
|
||
filename = os.path.join(self.tmpdirname, "tokenizer.bin")
|
||
with open(filename, "wb") as handle:
|
||
pickle.dump(tokenizer, handle)
|
||
|
||
with open(filename, "rb") as handle:
|
||
tokenizer_new = pickle.load(handle)
|
||
|
||
tokens_loaded = tokenizer_new.tokenize(text)
|
||
|
||
self.assertListEqual(tokens, tokens_loaded)
|
||
|
||
@require_jumanpp
|
||
def test_jumanpp_tokenizer(self):
|
||
tokenizer = JumanppTokenizer()
|
||
|
||
self.assertListEqual(
|
||
tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),["アップル", "ストア", "で", "iPhone", "8", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"]) # fmt: skip
|
||
|
||
@require_jumanpp
|
||
def test_jumanpp_tokenizer_lower(self):
|
||
tokenizer = JumanppTokenizer(do_lower_case=True)
|
||
|
||
self.assertListEqual(tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),["アップル", "ストア", "で", "iphone", "8", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"],) # fmt: skip
|
||
|
||
@require_jumanpp
|
||
def test_jumanpp_tokenizer_no_normalize(self):
|
||
tokenizer = JumanppTokenizer(normalize_text=False)
|
||
|
||
self.assertListEqual(tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),["ｱ", "ｯ", "ﾌ", "ﾟ", "ﾙ", "ストア", "で", "iPhone", "８", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"],) # fmt: skip
|
||
|
||
@require_jumanpp
|
||
def test_jumanpp_tokenizer_trim_whitespace(self):
|
||
tokenizer = JumanppTokenizer(trim_whitespace=True)
|
||
|
||
self.assertListEqual(
|
||
tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が \n 発売された 。 "),
|
||
["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れた", "。"],
|
||
)
|
||
|
||
@require_jumanpp
|
||
def test_jumanpp_full_tokenizer_with_jumanpp_kwargs_trim_whitespace(self):
|
||
tokenizer = self.tokenizer_class(
|
||
self.vocab_file, word_tokenizer_type="jumanpp", jumanpp_kwargs={"trim_whitespace": True}
|
||
)
|
||
|
||
text = "こんにちは、世界。\nこんばんは、世界。"
|
||
tokens = tokenizer.tokenize(text)
|
||
self.assertListEqual(tokens, ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"])
|
||
self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [3, 12, 10, 14, 4, 9, 12, 10, 14])
|
||
|
||
@require_jumanpp
|
||
def test_jumanpp_tokenizer_ext(self):
|
||
tokenizer = JumanppTokenizer()
|
||
|
||
self.assertListEqual(
|
||
tokenizer.tokenize("ありがとうございますm(_ _)ｍ見つけるのが大変です。"),
|
||
["ありがとう", "ございます", "m(_ _)m", "見つける", "の", "が", "大変です", "。"],
|
||
)
|
||
|
||
def test_wordpiece_tokenizer(self):
|
||
vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "こんにちは", "こん", "にちは", "ばんは", "##こん", "##にちは", "##ばんは"] # fmt: skip
|
||
|
||
vocab = {}
|
||
for i, token in enumerate(vocab_tokens):
|
||
vocab[token] = i
|
||
tokenizer = WordpieceTokenizer(vocab=vocab, unk_token="[UNK]")
|
||
|
||
self.assertListEqual(tokenizer.tokenize(""), [])
|
||
|
||
self.assertListEqual(tokenizer.tokenize("こんにちは"), ["こんにちは"])
|
||
|
||
self.assertListEqual(tokenizer.tokenize("こんばんは"), ["こん", "##ばんは"])
|
||
|
||
self.assertListEqual(tokenizer.tokenize("こんばんは こんばんにちは こんにちは"), ["こん", "##ばんは", "[UNK]", "こんにちは"]) # fmt: skip
|
||
|
||
def test_sentencepiece_tokenizer(self):
|
||
tokenizer = BertJapaneseTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp")
|
||
subword_tokenizer = tokenizer.subword_tokenizer
|
||
|
||
tokens = subword_tokenizer.tokenize("国境 の 長い トンネル を 抜ける と 雪国 であった 。")
|
||
self.assertListEqual(tokens, ["▁国境", "▁の", "▁長い", "▁トンネル", "▁を", "▁抜ける", "▁と", "▁雪", "国", "▁であった", "▁。"]) # fmt: skip
|
||
|
||
tokens = subword_tokenizer.tokenize("こんばんは こんばん にち は こんにちは")
|
||
self.assertListEqual(tokens, ["▁こん", "ばん", "は", "▁こん", "ばん", "▁に", "ち", "▁は", "▁こんにちは"])
|
||
|
||
def test_sequence_builders(self):
|
||
tokenizer = self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese")
|
||
|
||
text = tokenizer.encode("ありがとう。", add_special_tokens=False)
|
||
text_2 = tokenizer.encode("どういたしまして。", add_special_tokens=False)
|
||
|
||
encoded_sentence = tokenizer.build_inputs_with_special_tokens(text)
|
||
encoded_pair = tokenizer.build_inputs_with_special_tokens(text, text_2)
|
||
|
||
# 2 is for "[CLS]", 3 is for "[SEP]"
|
||
assert encoded_sentence == [2] + text + [3]
|
||
assert encoded_pair == [2] + text + [3] + text_2 + [3]
|
||
|
||
|
||
@custom_tokenizers
|
||
class BertJapaneseCharacterTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
|
||
from_pretrained_id = "cl-tohoku/bert-base-japanese"
|
||
tokenizer_class = BertJapaneseTokenizer
|
||
test_rust_tokenizer = False
|
||
|
||
def setUp(self):
|
||
super().setUp()
|
||
|
||
vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]
|
||
|
||
self.vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"])
|
||
with open(self.vocab_file, "w", encoding="utf-8") as vocab_writer:
|
||
vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))
|
||
|
||
def get_tokenizer(self, **kwargs):
|
||
return BertJapaneseTokenizer.from_pretrained(self.tmpdirname, subword_tokenizer_type="character", **kwargs)
|
||
|
||
def get_input_output_texts(self, tokenizer):
|
||
input_text = "こんにちは、世界。 \nこんばんは、世界。"
|
||
output_text = "こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"
|
||
return input_text, output_text
|
||
|
||
def test_pretokenized_inputs(self):
|
||
pass # TODO add if relevant
|
||
|
||
def test_maximum_encoding_length_pair_input(self):
|
||
pass # TODO add if relevant
|
||
|
||
def test_maximum_encoding_length_single_input(self):
|
||
pass # TODO add if relevant
|
||
|
||
def test_full_tokenizer(self):
|
||
tokenizer = self.tokenizer_class(self.vocab_file, subword_tokenizer_type="character")
|
||
|
||
tokens = tokenizer.tokenize("こんにちは、世界。 \nこんばんは、世界。")
|
||
self.assertListEqual(tokens, ["こ", "ん", "に", "ち", "は", "、", "世", "界", "。", "こ", "ん", "ば", "ん", "は", "、", "世", "界", "。"]) # fmt: skip
|
||
self.assertListEqual(
|
||
tokenizer.convert_tokens_to_ids(tokens), [3, 4, 5, 6, 7, 11, 9, 10, 12, 3, 4, 8, 4, 7, 11, 9, 10, 12]
|
||
)
|
||
|
||
def test_character_tokenizer(self):
|
||
vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]
|
||
|
||
vocab = {}
|
||
for i, token in enumerate(vocab_tokens):
|
||
vocab[token] = i
|
||
tokenizer = CharacterTokenizer(vocab=vocab, unk_token="[UNK]")
|
||
|
||
self.assertListEqual(tokenizer.tokenize(""), [])
|
||
|
||
self.assertListEqual(tokenizer.tokenize("こんにちは"), ["こ", "ん", "に", "ち", "は"])
|
||
|
||
self.assertListEqual(tokenizer.tokenize("こんにちほ"), ["こ", "ん", "に", "ち", "[UNK]"])
|
||
|
||
def test_sequence_builders(self):
|
||
tokenizer = self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese-char")
|
||
|
||
text = tokenizer.encode("ありがとう。", add_special_tokens=False)
|
||
text_2 = tokenizer.encode("どういたしまして。", add_special_tokens=False)
|
||
|
||
encoded_sentence = tokenizer.build_inputs_with_special_tokens(text)
|
||
encoded_pair = tokenizer.build_inputs_with_special_tokens(text, text_2)
|
||
|
||
# 2 is for "[CLS]", 3 is for "[SEP]"
|
||
assert encoded_sentence == [2] + text + [3]
|
||
assert encoded_pair == [2] + text + [3] + text_2 + [3]
|
||
|
||
|
||
@custom_tokenizers
|
||
class AutoTokenizerCustomTest(unittest.TestCase):
|
||
def test_tokenizer_bert_japanese(self):
|
||
EXAMPLE_BERT_JAPANESE_ID = "cl-tohoku/bert-base-japanese"
|
||
tokenizer = AutoTokenizer.from_pretrained(EXAMPLE_BERT_JAPANESE_ID)
|
||
self.assertIsInstance(tokenizer, BertJapaneseTokenizer)
|
||
|
||
|
||
class BertTokenizerMismatchTest(unittest.TestCase):
|
||
def test_tokenizer_mismatch_warning(self):
|
||
EXAMPLE_BERT_JAPANESE_ID = "cl-tohoku/bert-base-japanese"
|
||
with self.assertLogs("transformers", level="WARNING") as cm:
|
||
BertTokenizer.from_pretrained(EXAMPLE_BERT_JAPANESE_ID)
|
||
self.assertTrue(
|
||
cm.records[0].message.startswith(
|
||
"The tokenizer class you load from this checkpoint is not the same type as the class this function"
|
||
" is called from."
|
||
)
|
||
)
|
||
EXAMPLE_BERT_ID = "google-bert/bert-base-cased"
|
||
with self.assertLogs("transformers", level="WARNING") as cm:
|
||
BertJapaneseTokenizer.from_pretrained(EXAMPLE_BERT_ID)
|
||
self.assertTrue(
|
||
cm.records[0].message.startswith(
|
||
"The tokenizer class you load from this checkpoint is not the same type as the class this function"
|
||
" is called from."
|
||
)
|
||
)
|