
'''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   UpperCAmelCase_					(		lowerCAmelCase__	,							unittest.TestCase			):






						'''simple docstring'''






						_lowercase		:				Optional[Any]									=       BertJapaneseTokenizer
						_lowercase		:				int									=       False
						_lowercase		:				Optional[int]									=       True




						def  _lowercase     ( self				):

												"""simple docstring"""



												super().setUp()

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

												_lowerCAmelCase  						=			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  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			"""こんにちは、世界。 \nこんばんは、世界。"""
												_lowerCAmelCase  						=			"""こんにちは 、 世界 。 こんばんは 、 世界 。"""
												return input_text, output_text




						def  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase						,   _lowerCAmelCase  						=			self.get_input_output_texts(a__				)
												_lowerCAmelCase  						=			tokenizer.encode(a__   ,       add_special_tokens=a__				)
												_lowerCAmelCase  						=			tokenizer.decode(a__   ,       clean_up_tokenization_spaces=a__				)
												return text, ids




						def  _lowercase     ( self				):

												"""simple docstring"""



												pass  # TODO add if relevant




						def  _lowercase     ( self				):

												"""simple docstring"""



												pass  # TODO add if relevant




						def  _lowercase     ( self				):

												"""simple docstring"""



												pass  # TODO add if relevant




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.tokenizer_class(self.vocab_file				)

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




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.tokenizer_class(self.vocab_file   ,       word_tokenizer_type="""mecab"""				)
												self.assertIsNotNone(a__				)

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

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

												with open(a__   ,       """rb"""				) as handle:
																		_lowerCAmelCase  						=			pickle.load(a__				)

												_lowerCAmelCase  						=			tokenizer_new.tokenize(a__				)

												self.assertListEqual(a__   ,       a__				)




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			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  _lowercase     ( self				):

												"""simple docstring"""



												try:
																		_lowerCAmelCase  						=			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  _lowercase     ( self				):

												"""simple docstring"""



												try:
																		_lowerCAmelCase  						=			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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			MecabTokenizer(do_lower_case=a__   ,       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  _lowercase     ( self				):

												"""simple docstring"""



												try:
																		_lowerCAmelCase  						=			MecabTokenizer(
																		    do_lower_case=a__   ,       normalize_text=a__   ,       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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			MecabTokenizer(normalize_text=a__   ,       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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.tokenizer_class(self.vocab_file   ,       word_tokenizer_type="""sudachi"""				)
												self.assertIsNotNone(a__				)

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

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

												with open(a__   ,       """rb"""				) as handle:
																		_lowerCAmelCase  						=			pickle.load(a__				)

												_lowerCAmelCase  						=			tokenizer_new.tokenize(a__				)

												self.assertListEqual(a__   ,       a__				)




						@require_sudachi
						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			SudachiTokenizer(do_lower_case=a__   ,       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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			SudachiTokenizer(normalize_text=a__   ,       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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			SudachiTokenizer(trim_whitespace=a__   ,       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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.tokenizer_class(self.vocab_file   ,       word_tokenizer_type="""jumanpp"""				)
												self.assertIsNotNone(a__				)

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

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

												with open(a__   ,       """rb"""				) as handle:
																		_lowerCAmelCase  						=			pickle.load(a__				)

												_lowerCAmelCase  						=			tokenizer_new.tokenize(a__				)

												self.assertListEqual(a__   ,       a__				)




						@require_jumanpp
						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			JumanppTokenizer(do_lower_case=a__				)

												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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			JumanppTokenizer(normalize_text=a__				)

												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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			JumanppTokenizer(trim_whitespace=a__				)

												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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			["""[UNK]""", """[CLS]""", """[SEP]""", """こんにちは""", """こん""", """にちは""", """ばんは""", """##こん""", """##にちは""", """##ばんは"""]

												_lowerCAmelCase  						=			{}
												for i, token in enumerate(a__				):
																		_lowerCAmelCase  						=			i
												_lowerCAmelCase  						=			WordpieceTokenizer(vocab=a__   ,       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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			BertJapaneseTokenizer.from_pretrained("""nlp-waseda/roberta-base-japanese-with-auto-jumanpp"""				)
												_lowerCAmelCase  						=			tokenizer.subword_tokenizer

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

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




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.tokenizer_class.from_pretrained("""cl-tohoku/bert-base-japanese"""				)

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

												_lowerCAmelCase  						=			tokenizer.build_inputs_with_special_tokens(a__				)
												_lowerCAmelCase  						=			tokenizer.build_inputs_with_special_tokens(a__   ,       a__				)

												# 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   UpperCAmelCase_					(		lowerCAmelCase__	,							unittest.TestCase			):






						'''simple docstring'''






						_lowercase		:				Tuple									=       BertJapaneseTokenizer
						_lowercase		:				str									=       False




						def  _lowercase     ( self				):

												"""simple docstring"""



												super().setUp()

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

												_lowerCAmelCase  						=			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  _lowercase     ( self   ,       **_lowercase				):

												"""simple docstring"""



												return BertJapaneseTokenizer.from_pretrained(self.tmpdirname   ,       subword_tokenizer_type="""character"""   ,       **a__				)




						def  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			"""こんにちは、世界。 \nこんばんは、世界。"""
												_lowerCAmelCase  						=			"""こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"""
												return input_text, output_text




						def  _lowercase     ( self				):

												"""simple docstring"""



												pass  # TODO add if relevant




						def  _lowercase     ( self				):

												"""simple docstring"""



												pass  # TODO add if relevant




						def  _lowercase     ( self				):

												"""simple docstring"""



												pass  # TODO add if relevant




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.tokenizer_class(self.vocab_file   ,       subword_tokenizer_type="""character"""				)

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




						def  _lowercase     ( self				):

												"""simple docstring"""



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

												_lowerCAmelCase  						=			{}
												for i, token in enumerate(a__				):
																		_lowerCAmelCase  						=			i
												_lowerCAmelCase  						=			CharacterTokenizer(vocab=a__   ,       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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.tokenizer_class.from_pretrained("""cl-tohoku/bert-base-japanese-char"""				)

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

												_lowerCAmelCase  						=			tokenizer.build_inputs_with_special_tokens(a__				)
												_lowerCAmelCase  						=			tokenizer.build_inputs_with_special_tokens(a__   ,       a__				)

												# 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   UpperCAmelCase_					(		unittest.TestCase			):






						'''simple docstring'''






						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			"""cl-tohoku/bert-base-japanese"""
												_lowerCAmelCase  						=			AutoTokenizer.from_pretrained(a__				)
												self.assertIsInstance(a__   ,       a__				)






class   UpperCAmelCase_					(		unittest.TestCase			):






						'''simple docstring'''






						def  _lowercase     ( self				):

												"""simple docstring"""



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



from typing import List, Optional, Tuple, Union

import torch

from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput




class   UpperCAmelCase_					(		_SCREAMING_SNAKE_CASE			):






						'''simple docstring'''






						def __init__( self   ,       _lowercase   ,       _lowercase				):

												"""simple docstring"""



												super().__init__()

												# make sure scheduler can always be converted to DDIM
												_lowerCAmelCase  						=			DDIMScheduler.from_config(scheduler.config				)

												self.register_modules(unet=_lowercase   ,       scheduler=_lowercase				)




						@torch.no_grad()
						def __call__( self   ,       _lowercase = 1   ,       _lowercase = None   ,       _lowercase = 0.0   ,       _lowercase = 50   ,       _lowercase = None   ,       _lowercase = "pil"   ,       _lowercase = True   ,       ):

												"""simple docstring"""



												if isinstance(self.unet.config.sample_size   ,       _lowercase				):
																		_lowerCAmelCase  						=			(
																		    batch_size,
																		    self.unet.config.in_channels,
																		    self.unet.config.sample_size,
																		    self.unet.config.sample_size,
																		)
												else:
																		_lowerCAmelCase  						=			(batch_size, self.unet.config.in_channels, *self.unet.config.sample_size)

												if isinstance(_lowercase   ,       _lowercase				) and len(_lowercase				) != batch_size:
																		raise ValueError(
																		    F'You have passed a list of generators of length {len(_lowercase				)}, but requested an effective batch'
																		    F' size of {batch_size}. Make sure the batch size matches the length of the generators.'				)

												_lowerCAmelCase  						=			randn_tensor(_lowercase   ,       generator=_lowercase   ,       device=self.device   ,       dtype=self.unet.dtype				)

												# set step values
												self.scheduler.set_timesteps(_lowercase				)

												for t in self.progress_bar(self.scheduler.timesteps				):
																		# 1. predict noise model_output
																		_lowerCAmelCase  						=			self.unet(_lowercase   ,       _lowercase				).sample

																		# 2. predict previous mean of image x_t-1 and add variance depending on eta
																		# eta corresponds to η in paper and should be between [0, 1]
																		# do x_t -> x_t-1
																		_lowerCAmelCase  						=			self.scheduler.step(
																		    _lowercase   ,       _lowercase   ,       _lowercase   ,       eta=_lowercase   ,       use_clipped_model_output=_lowercase   ,       generator=_lowercase				).prev_sample

												_lowerCAmelCase  						=			(image / 2 + 0.5).clamp(0   ,       1				)
												_lowerCAmelCase  						=			image.cpu().permute(0   ,       2   ,       3   ,       1				).numpy()
												if output_type == "pil":
																		_lowerCAmelCase  						=			self.numpy_to_pil(_lowercase				)

												if not return_dict:
																		return (image,)

												return ImagePipelineOutput(images=_lowercase				)
