code: 
  
  
  
  
  
  '''simple docstring'''
  
  
  
  
  import json
  import os
  import unittest
  
  from transformers.models.gpt_neox_japanese.tokenization_gpt_neox_japanese import (
      VOCAB_FILES_NAMES,
      GPTNeoXJapaneseTokenizer,
  )
  from transformers.testing_utils import require_tokenizers, slow
  
  from ...test_tokenization_common import TokenizerTesterMixin
  
  
  
  
  
  
  @require_tokenizers
  class 							__snake_case    (				__magic_name__					,					unittest.TestCase       ):
  	__lowerCAmelCase						=     GPTNeoXJapaneseTokenizer
  	__lowerCAmelCase						=     False
  	__lowerCAmelCase						=     {'''do_clean_text''': False, '''add_prefix_space''': False}
  
  
  
  
  
  	def      _snake_case      (		self		)			->		str:
  		super().setUp()
  
  		snake_case__  					=      [
  		    'こん',
  		    'こんに',
  		    'にちは',
  		    'ばんは',
  		    '世界,㔺界',
  		    '、',
  		    '。',
  		    '<BR>',
  		    '<SP>',
  		    '<TAB>',
  		    '<URL>',
  		    '<EMAIL>',
  		    '<TEL>',
  		    '<DATE>',
  		    '<PRICE>',
  		    '<BLOCK>',
  		    '<KIGOU>',
  		    '<U2000U2BFF>',
  		    '<|emoji1|>',
  		    '<unk>',
  		    '<|startoftext|>',
  		    '<|endoftext|>',
  		]
  		snake_case__  					=      {'emoji': {'\ud83d\ude00': '<|emoji1|>'}, 'emoji_inv': {'<|emoji1|>': '\ud83d\ude00'}}  # 😀
  		snake_case__  					=      {'unk_token': '<unk>'}
  
  		snake_case__  					=      os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES['vocab_file']		)
  		snake_case__  					=      os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES['emoji_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.emoji_file			,					'w'		) as emoji_writer:
  			emoji_writer.write(json.dumps(UpperCamelCase_		)		)
  
  
  
  
  
  	def      _snake_case      (		self			,					**UpperCamelCase_		)			->		Tuple:
  		kwargs.update(self.special_tokens_map		)
  		return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname			,					**UpperCamelCase_		)
  
  
  
  
  
  	def      _snake_case      (		self			,					UpperCamelCase_		)			->		Any:
  		snake_case__  					=      'こんにちは、世界。 \nこんばんは、㔺界。😀'
  		snake_case__  					=      'こんにちは、世界。 \nこんばんは、世界。😀'
  		return input_text, output_text
  
  
  
  
  
  	def      _snake_case      (		self			,					UpperCamelCase_		)			->		Any:
  		snake_case__					,     snake_case__  					=      self.get_input_output_texts(UpperCamelCase_		)
  		snake_case__  					=      tokenizer.encode(UpperCamelCase_			,					add_special_tokens=UpperCamelCase_		)
  		snake_case__  					=      tokenizer.decode(UpperCamelCase_			,					clean_up_tokenization_spaces=UpperCamelCase_		)
  		return text, ids
  
  
  
  
  
  	def      _snake_case      (		self		)			->		Optional[int]:
  		pass  # TODO add if relevant
  
  
  
  
  
  	def      _snake_case      (		self		)			->		List[str]:
  		pass  # TODO add if relevant
  
  
  
  
  
  	def      _snake_case      (		self		)			->		List[Any]:
  		pass  # TODO add if relevant
  
  
  
  
  
  	def      _snake_case      (		self		)			->		Dict:
  		snake_case__  					=      self.get_tokenizer()
  
  		# Testing tokenization
  		snake_case__  					=      'こんにちは、世界。　こんばんは、㔺界。'
  		snake_case__  					=      ['こん', 'にちは', '、', '世界', '。', '<SP>', 'こん', 'ばんは', '、', '㔺界', '。']
  		snake_case__  					=      tokenizer.tokenize(UpperCamelCase_		)
  		self.assertListEqual(UpperCamelCase_			,					UpperCamelCase_		)
  
  		# Testing conversion to ids without special tokens
  		snake_case__  					=      [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
  		snake_case__  					=      tokenizer.convert_tokens_to_ids(UpperCamelCase_		)
  		self.assertListEqual(UpperCamelCase_			,					UpperCamelCase_		)
  
  		# Testing conversion to ids with special tokens
  		snake_case__  					=      tokens + [tokenizer.unk_token]
  		snake_case__  					=      [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
  		snake_case__  					=      tokenizer.convert_tokens_to_ids(UpperCamelCase_		)
  		self.assertListEqual(UpperCamelCase_			,					UpperCamelCase_		)
  
  
  
  
  
  	@slow
  	def      _snake_case      (		self		)			->		Tuple:
  		snake_case__  					=      self.tokenizer_class.from_pretrained('abeja/gpt-neox-japanese-2.7b'		)
  
  		snake_case__  					=      tokenizer.encode('ありがとう。'			,					add_special_tokens=UpperCamelCase_		)
  		snake_case__  					=      tokenizer.encode('どういたしまして。'			,					add_special_tokens=UpperCamelCase_		)
  
  		snake_case__  					=      tokenizer.build_inputs_with_special_tokens(UpperCamelCase_		)
  		snake_case__  					=      tokenizer.build_inputs_with_special_tokens(UpperCamelCase_			,					UpperCamelCase_		)
  
  		assert encoded_sentence == ids_a
  		assert encoded_pair == ids_a + ids_a
  
  
  
  
  
  	def      _snake_case      (		self		)			->		Any:
  		# Intentionally convert some words to accommodate character fluctuations unique to Japanese
  		pass
  
  
  
  
  
  	def      _snake_case      (		self		)			->		Optional[Any]:
  		# tokenizer has no padding token
  		pass
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  
  
  
  def 	__lowerCamelCase (  UpperCAmelCase_       )      ->str:
  	snake_case__  					=      len(UpperCAmelCase_       )
  	for i in range(length - 1       ):
  		snake_case__  					=      False
  		for j in range(length - 1 - i       ):
  			if collection[j] > collection[j + 1]:
  				snake_case__  					=      True
  				snake_case__					,     snake_case__  					=      collection[j + 1], collection[j]
  		if not swapped:
  			break  # Stop iteration if the collection is sorted.
  	return collection
  
  
  if __name__ == "__main__":
  			import doctest
  			import time
  
  			doctest.testmod()
  
  			a__				: Dict									=    input('''Enter numbers separated by a comma:''').strip()
  			a__				: Dict									=    [int(item) for item in user_input.split(''',''')]
  			a__				: Tuple									=    time.process_time()
  			print(*bubble_sort(unsorted), sep=''',''')
  			print(f"""Processing time: {(time.process_time() - start)%1e9 + 7}""")
  
  
  
  