

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        lowerCAmelCase__  (					unittest.TestCase			):



       '''simple docstring'''







       @slow
       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             __A    =AutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small''' ,   return_dict=lowercase__     ).to(lowercase__     )
             __A    =AutoTokenizer.from_pretrained('''google/mt5-small'''     )

             __A    =tokenizer('''Hello there''' ,   return_tensors='''pt'''     ).input_ids
             __A    =tokenizer('''Hi I am''' ,   return_tensors='''pt'''     ).input_ids

             __A    =model(input_ids.to(lowercase__     ) ,   labels=labels.to(lowercase__     )     ).loss
             __A    =-(labels.shape[-1] * loss.item())

             __A    =-84.9127
             self.assertTrue(abs(mtf_score - EXPECTED_SCORE     ) < 1E-4     )





def      A__					(			__A  :						str     ,				__A  :						str			)					->str:

      if not (isinstance(__A     ,				__A			) and isinstance(__A     ,				__A			)):
            raise ValueError('''longest_common_substring() takes two strings for inputs'''			)

      __A    =len(__A			)
      __A    =len(__A			)

      __A    =[[0] * (texta_length + 1) for _ in range(texta_length + 1			)]
      __A    =0
      __A    =0

      for i in range(1     ,				texta_length + 1			):
            for j in range(1     ,				texta_length + 1			):
                  if texta[i - 1] == texta[j - 1]:
                        __A    =1 + dp[i - 1][j - 1]
                        if dp[i][j] > ans_length:
                              __A    =i
                              __A    =dp[i][j]

      return texta[ans_index - ans_length : ans_index]


if __name__ == "__main__":
   import doctest

   doctest.testmod()


