


"""simple docstring"""





import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
    from transformers import AutoModelForSeqaSeqLM, AutoTokenizer



@require_torch
@require_sentencepiece
@require_tokenizers
class 		snake_case_(       unittest.TestCase			):






     @slow
     def      lowerCamelCase__     (	self  :					Tuple				):
           lowerCAmelCase					:	str       =   AutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small'''					,				return_dict=UpperCamelCase_				).to(UpperCamelCase_				)
           lowerCAmelCase					:	Optional[Any]       =   AutoTokenizer.from_pretrained('''google/mt5-small'''				)

           lowerCAmelCase					:	str       =   tokenizer('''Hello there'''					,				return_tensors='''pt'''				).input_ids
           lowerCAmelCase					:	Any       =   tokenizer('''Hi I am'''					,				return_tensors='''pt'''				).input_ids

           lowerCAmelCase					:	Union[str, Any]       =   model(input_ids.to(UpperCamelCase_				)					,				labels=labels.to(UpperCamelCase_				)				).loss
           lowerCAmelCase					:	Union[str, Any]       =   -(labels.shape[-1] * loss.item())

           lowerCAmelCase					:	Dict       =   -84.9_127
           self.assertTrue(abs(mtf_score - EXPECTED_SCORE				) < 1E-4				)






"""simple docstring"""





from __future__ import annotations


def      _snake_case						(						_snake_case				:			list[int] ,   _snake_case				:			int			):
      if len(_snake_case			) == 0:
            return False
      lowerCAmelCase					:	List[Any]       =   len(_snake_case			) // 2
      if a_list[midpoint] == item:
            return True
      if item < a_list[midpoint]:
            return binary_search(a_list[:midpoint] ,   _snake_case			)
      else:
            return binary_search(a_list[midpoint + 1 :] ,   _snake_case			)


if __name__ == "__main__":
 snake_case__		:     List[str]    				=				input('''Enter numbers separated by comma:\n''').strip()
 snake_case__		:     Optional[int]    				=				[int(item.strip()) for item in user_input.split(''',''')]
 snake_case__		:     Dict    				=				int(input('''Enter the number to be found in the list:\n''').strip())
 snake_case__		:     str    				=				'''''' if binary_search(sequence, target) else '''not '''
 print(f"""{target} was {not_str}found in {sequence}""")


