'''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 					__SCREAMING_SNAKE_CASE						(	unittest.TestCase	):







  '''simple docstring'''






  @slow
  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       Dict       =				AutoModelForSeqaSeqLM.from_pretrained('google/mt5-small'				,		return_dict=snake_case_						).to(snake_case_						)
       UpperCAmelCase_							:       List[str]       =				AutoTokenizer.from_pretrained('google/mt5-small'						)

       UpperCAmelCase_							:       List[Any]       =				tokenizer('Hello there'				,		return_tensors='pt'						).input_ids
       UpperCAmelCase_							:       Any       =				tokenizer('Hi I am'				,		return_tensors='pt'						).input_ids

       UpperCAmelCase_							:       str       =				model(input_ids.to(snake_case_						)				,		labels=labels.to(snake_case_						)						).loss
       UpperCAmelCase_							:       int       =				-(labels.shape[-1] * loss.item())

       UpperCAmelCase_							:       Any       =				-84.91_27
       self.assertTrue(abs(mtf_score - EXPECTED_SCORE						) < 1E-4						)







'''simple docstring'''


def  _lowerCamelCase   (				lowerCamelCase_ :							str       ):



     """simple docstring"""





     UpperCAmelCase_							:       Optional[int]       =				[0] * len(lowerCamelCase_       )

     for i in range(1     ,					len(lowerCamelCase_       )       ):
          # use last results for better performance - dynamic programming
          UpperCAmelCase_							:       List[Any]       =				prefix_result[i - 1]
          while j > 0 and input_string[i] != input_string[j]:
               UpperCAmelCase_							:       str       =				prefix_result[j - 1]

          if input_string[i] == input_string[j]:
               j += 1
          UpperCAmelCase_							:       Any       =				j

     return prefix_result


def  _lowerCamelCase   (				lowerCamelCase_ :							str       ):



     """simple docstring"""





     return max(prefix_function(lowerCamelCase_       )       )


if __name__ == "__main__":
 import doctest

 doctest.testmod()






