
"""simple docstring"""






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

from ...test_tokenization_common import TokenizerTesterMixin

@custom_tokenizers
class 					__a     ( __a					,   unittest.TestCase       ):



							'''simple docstring'''







							_lowerCamelCase					:			List[Any]          =   BertJapaneseTokenizer
							_lowerCamelCase					:			int          =   False
							_lowerCamelCase					:			Optional[Any]          =   True
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Tuple:




										'''simple docstring'''
										super().setUp()

										__lowercase       =       [
										    "[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",
										    "、",
										    "##、",
										    "。",
										    "##。",
										]

										__lowercase       =       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   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Union[str, Any]:




										'''simple docstring'''
										__lowercase       =       "こんにちは、世界。 \nこんばんは、世界。"
										__lowercase       =       "こんにちは 、 世界 。 こんばんは 、 世界 。"
										return input_text, output_text
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Union[str, Any]:




										'''simple docstring'''
										__lowercase   ,					__lowercase       =       self.get_input_output_texts(_lowerCamelCase       )
										__lowercase       =       tokenizer.encode(_lowerCamelCase  ,    add_special_tokens=_lowerCamelCase       )
										__lowercase       =       tokenizer.decode(_lowerCamelCase  ,    clean_up_tokenization_spaces=_lowerCamelCase       )
										return text, ids
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Tuple:




										'''simple docstring'''
										pass  # TODO add if relevant
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Optional[Any]:




										'''simple docstring'''
										pass  # TODO add if relevant
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Any:




										'''simple docstring'''
										pass  # TODO add if relevant
							def   SCREAMING_SNAKE_CASE						(     self       )			->							int:




										'''simple docstring'''
										__lowercase       =       self.tokenizer_class(self.vocab_file       )

										__lowercase       =       tokenizer.tokenize("こんにちは、世界。\nこんばんは、世界。"       )
										self.assertListEqual(_lowerCamelCase  ,    ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]       )
										self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase       )  ,    [3, 12, 10, 14, 4, 9, 12, 10, 14]       )
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Dict:




										'''simple docstring'''
										__lowercase       =       self.tokenizer_class(self.vocab_file  ,    word_tokenizer_type="mecab"       )
										self.assertIsNotNone(_lowerCamelCase       )

										__lowercase       =       "こんにちは、世界。\nこんばんは、世界。"
										__lowercase       =       tokenizer.tokenize(_lowerCamelCase       )
										self.assertListEqual(_lowerCamelCase  ,    ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]       )
										self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase       )  ,    [3, 12, 10, 14, 4, 9, 12, 10, 14]       )

										__lowercase       =       os.path.join(self.tmpdirname  ,    "tokenizer.bin"       )
										with open(_lowerCamelCase  ,    "wb"       ) as handle:
													pickle.dump(_lowerCamelCase  ,    _lowerCamelCase       )

										with open(_lowerCamelCase  ,    "rb"       ) as handle:
													__lowercase       =       pickle.load(_lowerCamelCase       )

										__lowercase       =       tokenizer_new.tokenize(_lowerCamelCase       )

										self.assertListEqual(_lowerCamelCase  ,    _lowerCamelCase       )
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Optional[int]:




										'''simple docstring'''
										__lowercase       =       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   SCREAMING_SNAKE_CASE						(     self       )			->							Optional[Any]:




										'''simple docstring'''
										try:
													__lowercase       =       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   SCREAMING_SNAKE_CASE						(     self       )			->							Union[str, Any]:




										'''simple docstring'''
										try:
													__lowercase       =       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   SCREAMING_SNAKE_CASE						(     self       )			->							Union[str, Any]:




										'''simple docstring'''
										__lowercase       =       MecabTokenizer(do_lower_case=_lowerCamelCase  ,    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   SCREAMING_SNAKE_CASE						(     self       )			->							Tuple:




										'''simple docstring'''
										try:
													__lowercase       =       MecabTokenizer(
													    do_lower_case=_lowerCamelCase  ,    normalize_text=_lowerCamelCase  ,    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   SCREAMING_SNAKE_CASE						(     self       )			->							Union[str, Any]:




										'''simple docstring'''
										__lowercase       =       MecabTokenizer(normalize_text=_lowerCamelCase  ,    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
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Any:




										'''simple docstring'''
										__lowercase       =       self.tokenizer_class(self.vocab_file  ,    word_tokenizer_type="sudachi"       )
										self.assertIsNotNone(_lowerCamelCase       )

										__lowercase       =       "こんにちは、世界。\nこんばんは、世界。"
										__lowercase       =       tokenizer.tokenize(_lowerCamelCase       )
										self.assertListEqual(_lowerCamelCase  ,    ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]       )
										self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase       )  ,    [3, 12, 10, 14, 4, 9, 12, 10, 14]       )

										__lowercase       =       os.path.join(self.tmpdirname  ,    "tokenizer.bin"       )
										with open(_lowerCamelCase  ,    "wb"       ) as handle:
													pickle.dump(_lowerCamelCase  ,    _lowerCamelCase       )

										with open(_lowerCamelCase  ,    "rb"       ) as handle:
													__lowercase       =       pickle.load(_lowerCamelCase       )

										__lowercase       =       tokenizer_new.tokenize(_lowerCamelCase       )

										self.assertListEqual(_lowerCamelCase  ,    _lowerCamelCase       )
							@require_sudachi
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Dict:




										'''simple docstring'''
										__lowercase       =       SudachiTokenizer(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", " ", "。", " ", " "]  ,    )
							@require_sudachi
							def   SCREAMING_SNAKE_CASE						(     self       )			->							int:




										'''simple docstring'''
										__lowercase       =       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
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Union[str, Any]:




										'''simple docstring'''
										__lowercase       =       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
							def   SCREAMING_SNAKE_CASE						(     self       )			->							int:




										'''simple docstring'''
										__lowercase       =       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
							def   SCREAMING_SNAKE_CASE						(     self       )			->							List[Any]:




										'''simple docstring'''
										__lowercase       =       SudachiTokenizer(do_lower_case=_lowerCamelCase  ,    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", " ", "。", " ", " "]  ,    )
							@require_sudachi
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Tuple:




										'''simple docstring'''
										__lowercase       =       SudachiTokenizer(normalize_text=_lowerCamelCase  ,    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", "。", " ", " "]  ,    )
							@require_sudachi
							def   SCREAMING_SNAKE_CASE						(     self       )			->							int:




										'''simple docstring'''
										__lowercase       =       SudachiTokenizer(trim_whitespace=_lowerCamelCase  ,    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   SCREAMING_SNAKE_CASE						(     self       )			->							List[str]:




										'''simple docstring'''
										__lowercase       =       self.tokenizer_class(self.vocab_file  ,    word_tokenizer_type="jumanpp"       )
										self.assertIsNotNone(_lowerCamelCase       )

										__lowercase       =       "こんにちは、世界。\nこんばんは、世界。"
										__lowercase       =       tokenizer.tokenize(_lowerCamelCase       )
										self.assertListEqual(_lowerCamelCase  ,    ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]       )
										self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase       )  ,    [3, 12, 10, 14, 4, 9, 12, 10, 14]       )

										__lowercase       =       os.path.join(self.tmpdirname  ,    "tokenizer.bin"       )
										with open(_lowerCamelCase  ,    "wb"       ) as handle:
													pickle.dump(_lowerCamelCase  ,    _lowerCamelCase       )

										with open(_lowerCamelCase  ,    "rb"       ) as handle:
													__lowercase       =       pickle.load(_lowerCamelCase       )

										__lowercase       =       tokenizer_new.tokenize(_lowerCamelCase       )

										self.assertListEqual(_lowerCamelCase  ,    _lowerCamelCase       )
							@require_jumanpp
							def   SCREAMING_SNAKE_CASE						(     self       )			->							List[str]:




										'''simple docstring'''
										__lowercase       =       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", "。"]  ,    )
							@require_jumanpp
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Dict:




										'''simple docstring'''
										__lowercase       =       JumanppTokenizer(do_lower_case=_lowerCamelCase       )

										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", "。"]  ,    )
							@require_jumanpp
							def   SCREAMING_SNAKE_CASE						(     self       )			->							str:




										'''simple docstring'''
										__lowercase       =       JumanppTokenizer(normalize_text=_lowerCamelCase       )

										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", "。"]  ,    )
							@require_jumanpp
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Optional[int]:




										'''simple docstring'''
										__lowercase       =       JumanppTokenizer(trim_whitespace=_lowerCamelCase       )

										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   SCREAMING_SNAKE_CASE						(     self       )			->							int:




										'''simple docstring'''
										__lowercase       =       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   SCREAMING_SNAKE_CASE						(     self       )			->							List[Any]:




										'''simple docstring'''
										__lowercase       =       ["[UNK]", "[CLS]", "[SEP]", "こんにちは", "こん", "にちは", "ばんは", "##こん", "##にちは", "##ばんは"]

										__lowercase       =       {}
										for i, token in enumerate(_lowerCamelCase       ):
													__lowercase       =       i
										__lowercase       =       WordpieceTokenizer(vocab=_lowerCamelCase  ,    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"]       )
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Any:




										'''simple docstring'''
										__lowercase       =       BertJapaneseTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp"       )
										__lowercase       =       tokenizer.subword_tokenizer

										__lowercase       =       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(_lowerCamelCase  ,    ["▁国境", "▁の", "▁長い", "▁トンネル", "▁を", "▁抜ける", "▁と", "▁雪", "国", "▁であった", "▁。"]       )

										__lowercase       =       subword_tokenizer.tokenize("こんばんは こんばん にち は こんにちは"       )
										self.assertListEqual(_lowerCamelCase  ,    ["▁こん", "ばん", "は", "▁こん", "ばん", "▁に", "ち", "▁は", "▁こんにちは"]       )





							def   SCREAMING_SNAKE_CASE						(     self       )			->							Any:




										'''simple docstring'''
										__lowercase       =       self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese"       )

										__lowercase       =       tokenizer.encode("ありがとう。"  ,    add_special_tokens=_lowerCamelCase       )
										__lowercase       =       tokenizer.encode("どういたしまして。"  ,    add_special_tokens=_lowerCamelCase       )

										__lowercase       =       tokenizer.build_inputs_with_special_tokens(_lowerCamelCase       )
										__lowercase       =       tokenizer.build_inputs_with_special_tokens(_lowerCamelCase  ,    _lowerCamelCase       )

										# 2 is for "[CLS]", 3 is for "[SEP]"
										assert encoded_sentence == [2] + text + [3]
										assert encoded_pair == [2] + text + [3] + text_a + [3]





@custom_tokenizers
class 					__a     ( __a					,   unittest.TestCase       ):



							'''simple docstring'''







							_lowerCamelCase					:			Any          =   BertJapaneseTokenizer
							_lowerCamelCase					:			Any          =   False
							def   SCREAMING_SNAKE_CASE						(     self       )			->							int:




										'''simple docstring'''
										super().setUp()

										__lowercase       =       ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

										__lowercase       =       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   SCREAMING_SNAKE_CASE						(     self  ,    **_lowerCamelCase       )			->							Optional[int]:




										'''simple docstring'''
										return BertJapaneseTokenizer.from_pretrained(self.tmpdirname  ,    subword_tokenizer_type="character"  ,    **_lowerCamelCase       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Optional[int]:




										'''simple docstring'''
										__lowercase       =       "こんにちは、世界。 \nこんばんは、世界。"
										__lowercase       =       "こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"
										return input_text, output_text
							def   SCREAMING_SNAKE_CASE						(     self       )			->							int:




										'''simple docstring'''
										pass  # TODO add if relevant
							def   SCREAMING_SNAKE_CASE						(     self       )			->							List[str]:




										'''simple docstring'''
										pass  # TODO add if relevant
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Optional[int]:




										'''simple docstring'''
										pass  # TODO add if relevant
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Any:




										'''simple docstring'''
										__lowercase       =       self.tokenizer_class(self.vocab_file  ,    subword_tokenizer_type="character"       )

										__lowercase       =       tokenizer.tokenize("こんにちは、世界。 \nこんばんは、世界。"       )
										self.assertListEqual(
										    _lowerCamelCase  ,    ["こ", "ん", "に", "ち", "は", "、", "世", "界", "。", "こ", "ん", "ば", "ん", "は", "、", "世", "界", "。"]       )
										self.assertListEqual(
										    tokenizer.convert_tokens_to_ids(_lowerCamelCase       )  ,    [3, 4, 5, 6, 7, 11, 9, 10, 12, 3, 4, 8, 4, 7, 11, 9, 10, 12]       )
							def   SCREAMING_SNAKE_CASE						(     self       )			->							str:




										'''simple docstring'''
										__lowercase       =       ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

										__lowercase       =       {}
										for i, token in enumerate(_lowerCamelCase       ):
													__lowercase       =       i
										__lowercase       =       CharacterTokenizer(vocab=_lowerCamelCase  ,    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   SCREAMING_SNAKE_CASE						(     self       )			->							int:




										'''simple docstring'''
										__lowercase       =       self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese-char"       )

										__lowercase       =       tokenizer.encode("ありがとう。"  ,    add_special_tokens=_lowerCamelCase       )
										__lowercase       =       tokenizer.encode("どういたしまして。"  ,    add_special_tokens=_lowerCamelCase       )

										__lowercase       =       tokenizer.build_inputs_with_special_tokens(_lowerCamelCase       )
										__lowercase       =       tokenizer.build_inputs_with_special_tokens(_lowerCamelCase  ,    _lowerCamelCase       )

										# 2 is for "[CLS]", 3 is for "[SEP]"
										assert encoded_sentence == [2] + text + [3]
										assert encoded_pair == [2] + text + [3] + text_a + [3]





@custom_tokenizers
class 					__a     ( unittest.TestCase       ):



							'''simple docstring'''







							def   SCREAMING_SNAKE_CASE						(     self       )			->							Optional[int]:




										'''simple docstring'''
										__lowercase       =       "cl-tohoku/bert-base-japanese"
										__lowercase       =       AutoTokenizer.from_pretrained(_lowerCamelCase       )
										self.assertIsInstance(_lowerCamelCase  ,    _lowerCamelCase       )





class 					__a     ( unittest.TestCase       ):



							'''simple docstring'''







							def   SCREAMING_SNAKE_CASE						(     self       )			->							Optional[int]:




										'''simple docstring'''
										__lowercase       =       "cl-tohoku/bert-base-japanese"
										with self.assertLogs("transformers"  ,    level="WARNING"       ) as cm:
													BertTokenizer.from_pretrained(_lowerCamelCase       )
													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."       )       )
										__lowercase       =       "bert-base-cased"
										with self.assertLogs("transformers"  ,    level="WARNING"       ) as cm:
													BertJapaneseTokenizer.from_pretrained(_lowerCamelCase       )
													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."       )       )







"""simple docstring"""






import json
import os
import re
import sys
import urllib.request

import requests
from bsa import BeautifulSoup

_lowercase							=				{
    '''User-Agent''': '''Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'''
    ''' (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582'''
}



def      lowerCAmelCase__			(		__magic_name__ = "dhaka"			,   __magic_name__ = 5      )						->int:
			__lowercase       =       min(__magic_name__			,   5_0      )  # Prevent abuse!
			__lowercase       =       {
			    "q": query,
			    "tbm": "isch",
			    "hl": "en",
			    "ijn": "0",
			}

			__lowercase       =       requests.get("https://www.google.com/search"			,   params=__magic_name__			,   headers=__magic_name__      )
			__lowercase       =       BeautifulSoup(html.text			,   "html.parser"      )
			__lowercase       =       "".join(
			    re.findall(R"AF_initDataCallback\(([^<]+)\);"			,   str(soup.select("script"      )      )      )      )

			__lowercase       =       json.dumps(__magic_name__      )
			__lowercase       =       json.loads(__magic_name__      )

			__lowercase       =       re.findall(
			    R"\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(.*),\"All\","			,   __magic_name__			,   )
			if not matched_google_image_data:
						return 0

			__lowercase       =       re.sub(
			    R"\[\"(https\:\/\/encrypted-tbn0\.gstatic\.com\/images\?.*?)\",\d+,\d+\]"			,   ""			,   str(__magic_name__      )			,   )

			__lowercase       =       re.findall(
			    R"(?:'|,),\[\"(https:|http.*?)\",\d+,\d+\]"			,   __magic_name__			,   )
			for index, fixed_full_res_image in enumerate(__magic_name__      ):
						if index >= max_images:
									return index
						__lowercase       =       bytes(__magic_name__			,   "ascii"      ).decode(
						    "unicode-escape"      )
						__lowercase       =       bytes(__magic_name__			,   "ascii"      ).decode(
						    "unicode-escape"      )
						__lowercase       =       urllib.request.build_opener()
						__lowercase       =       [
						    (
						        "User-Agent",
						        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
						        " (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582",
						    )
						]
						urllib.request.install_opener(__magic_name__      )
						__lowercase       =       F'''query_{query.replace(' '			,   '_'      )}'''
						if not os.path.exists(__magic_name__      ):
									os.makedirs(__magic_name__      )
						urllib.request.urlretrieve(  # noqa: S310
						    __magic_name__			,   F'''{path_name}/original_size_img_{index}.jpg'''      )
			return index


if __name__ == "__main__":
					try:
										_lowercase							=				download_images_from_google_query(sys.argv[1])
										print(F"{image_count} images were downloaded to disk.")
					except IndexError:
										print('''Please provide a search term.''')
										raise





