





'''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










'''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}""")



