
import unittest

from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
@require_sentencepiece
@slow  # see https://github.com/huggingface/transformers/issues/11457
class 		UpperCamelCase__  (	__lowercase   ,unittest.TestCase   ):
			_SCREAMING_SNAKE_CASE				:							int     	=				BarthezTokenizer
			_SCREAMING_SNAKE_CASE				:							List[str]     	=				BarthezTokenizerFast
			_SCREAMING_SNAKE_CASE				:							List[str]     	=				True
			_SCREAMING_SNAKE_CASE				:							Dict     	=				True
			def 				lowerCAmelCase      (self			: Dict       ):
				super().setUp()

				__a			:  Union[str, Any]		    =  BarthezTokenizerFast.from_pretrained('''moussaKam/mbarthez'''       )
				tokenizer.save_pretrained(self.tmpdirname       )
				tokenizer.save_pretrained(self.tmpdirname ,    legacy_format=snake_case_       )
				__a			:  Any		    =  tokenizer
			def 				lowerCAmelCase      (self			: Dict       ):
				__a			:  Optional[int]		    =  '''<pad>'''
				__a			:  Any		    =  1

				self.assertEqual(self.get_tokenizer()._convert_token_to_id(snake_case_       ) ,    snake_case_       )
				self.assertEqual(self.get_tokenizer()._convert_id_to_token(snake_case_       ) ,    snake_case_       )
			def 				lowerCAmelCase      (self			: Optional[int]       ):
				__a			:  List[Any]		    =  list(self.get_tokenizer().get_vocab().keys()       )

				self.assertEqual(vocab_keys[0] ,    '''<s>'''       )
				self.assertEqual(vocab_keys[1] ,    '''<pad>'''       )
				self.assertEqual(vocab_keys[-1] ,    '''<mask>'''       )
				self.assertEqual(len(snake_case_       ) ,    1_0_1_1_2_2       )
			def 				lowerCAmelCase      (self			: Optional[Any]       ):
				self.assertEqual(self.get_tokenizer().vocab_size ,    1_0_1_1_2_2       )
			@require_torch
			def 				lowerCAmelCase      (self			: List[str]       ):
				__a			:  List[str]		    =  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
				__a			:  Optional[Any]		    =  [0, 5_7, 3_0_1_8, 7_0_3_0_7, 9_1, 2]

				__a			:  Optional[int]		    =  self.tokenizer(
				    snake_case_ ,    max_length=len(snake_case_       ) ,    padding=snake_case_ ,    truncation=snake_case_ ,    return_tensors='''pt'''       )
				self.assertIsInstance(snake_case_ ,    snake_case_       )

				self.assertEqual((2, 6) ,    batch.input_ids.shape       )
				self.assertEqual((2, 6) ,    batch.attention_mask.shape       )
				__a			:  str		    =  batch.input_ids.tolist()[0]
				self.assertListEqual(snake_case_ ,    snake_case_       )
			def 				lowerCAmelCase      (self			: Dict       ):
				if not self.test_rust_tokenizer:
					return

				__a			:  Dict		    =  self.get_tokenizer()
				__a			:  List[str]		    =  self.get_rust_tokenizer()

				__a			:  Tuple		    =  '''I was born in 92000, and this is falsé.'''

				__a			:  Optional[int]		    =  tokenizer.tokenize(snake_case_       )
				__a			:  Optional[int]		    =  rust_tokenizer.tokenize(snake_case_       )
				self.assertListEqual(snake_case_ ,    snake_case_       )

				__a			:  str		    =  tokenizer.encode(snake_case_ ,    add_special_tokens=snake_case_       )
				__a			:  Any		    =  rust_tokenizer.encode(snake_case_ ,    add_special_tokens=snake_case_       )
				self.assertListEqual(snake_case_ ,    snake_case_       )

				__a			:  Any		    =  self.get_rust_tokenizer()
				__a			:  str		    =  tokenizer.encode(snake_case_       )
				__a			:  List[str]		    =  rust_tokenizer.encode(snake_case_       )
				self.assertListEqual(snake_case_ ,    snake_case_       )







			@slow
			def 				lowerCAmelCase      (self			: Optional[int]       ):
				# fmt: off
				__a			:  Optional[int]		    =  {'''input_ids''': [[0, 4_9_0, 1_4_3_2_8, 4_5_0_7, 3_5_4, 4_7, 4_3_6_6_9, 9_5, 2_5, 7_8_1_1_7, 2_0_2_1_5, 1_9_7_7_9, 1_9_0, 2_2, 4_0_0, 4, 3_5_3_4_3, 8_0_3_1_0, 6_0_3, 8_6, 2_4_9_3_7, 1_0_5, 3_3_4_3_8, 9_4_7_6_2, 1_9_6, 3_9_6_4_2, 7, 1_5, 1_5_9_3_3, 1_7_3, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 1_0_5_3_4, 8_7, 2_5, 6_6, 3_3_5_8, 1_9_6, 5_5_2_8_9, 8, 8_2_9_6_1, 8_1, 2_2_0_4, 7_5_2_0_3, 7, 1_5, 7_6_3, 1_2_9_5_6, 2_1_6, 1_7_8, 1_4_3_2_8, 9_5_9_5, 1_3_7_7, 6_9_6_9_3, 7, 4_4_8, 7_1_0_2_1, 1_9_6, 1_8_1_0_6, 1_4_3_7, 1_3_9_7_4, 1_0_8, 9_0_8_3, 4, 4_9_3_1_5, 7, 3_9, 8_6, 1_3_2_6, 2_7_9_3, 4_6_3_3_3, 4, 4_4_8, 1_9_6, 7_4_5_8_8, 7, 4_9_3_1_5, 7, 3_9, 2_1, 8_2_2, 3_8_4_7_0, 7_4, 2_1, 6_6_7_2_3, 6_2_4_8_0, 8, 2_2_0_5_0, 5, 2]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
				# fmt: on

				# moussaKam/mbarthez is a french model. So we also use french texts.
				__a			:  Optional[int]		    =  [
				    '''Le transformeur est un modèle d\'apprentissage profond introduit en 2017, '''
				    '''utilisé principalement dans le domaine du traitement automatique des langues (TAL).''',
				    '''À l\'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus '''
				    '''pour gérer des données séquentielles, telles que le langage naturel, pour des tâches '''
				    '''telles que la traduction et la synthèse de texte.''',
				]

				self.tokenizer_integration_test_util(
				    expected_encoding=snake_case_ ,    model_name='''moussaKam/mbarthez''' ,    revision='''c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6''' ,    sequences=snake_case_ ,    )


def        __UpperCamelCase					(    lowerCAmelCase__							:    list  ):

 def merge(lowerCAmelCase__							:    list  ,       lowerCAmelCase__							:    list  ) -> list:

  def _merge():
   while left and right:
    yield (left if left[0] <= right[0] else right).pop(0  )
   yield from left
   yield from right

  return list(_merge()  )

 if len(lowerCAmelCase__  ) <= 1:
  return collection
 __a			:  str		    =  len(lowerCAmelCase__  ) // 2
 return merge(merge_sort(collection[:mid]  )  ,       merge_sort(collection[mid:]  )  )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      lowercase__          =input('Enter numbers separated by a comma:\n').strip()
      lowercase__          =[int(item) for item in user_input.split(',')]
      print(*merge_sort(unsorted), sep=',')
