






import tempfile
import unittest

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.testing_utils import (
    is_torch_available,
    require_optimum,
    require_torch,
    slow,
)


if is_torch_available():
  import torch





@require_torch
@require_optimum
@slow
class       __a  (   unittest.TestCase	):







 def  __lowercase (		self :       List[Any]						):


      '''simple docstring'''






      UpperCamelCase__      :       Optional[int]	    =  '''hf-internal-testing/tiny-random-t5'''
      UpperCamelCase__      :       Any	    =  AutoTokenizer.from_pretrained(__lowercase						)
      UpperCamelCase__      :       Union[str, Any]	    =  AutoModelForSeqaSeqLM.from_pretrained(__lowercase						)

      UpperCamelCase__      :       List[Any]	    =  tokenizer("This is me"							,       return_tensors="pt"						)

      UpperCamelCase__      :       Union[str, Any]	    =  model.to_bettertransformer()

      self.assertTrue(any("BetterTransformer" in mod.__class__.__name__ for _, mod in model.named_modules()						)						)

      UpperCamelCase__      :       List[Any]	    =  model.generate(**__lowercase						)

      UpperCamelCase__      :       List[Any]	    =  model.reverse_bettertransformer()

      self.assertFalse(any("BetterTransformer" in mod.__class__.__name__ for _, mod in model.named_modules()						)						)

      with tempfile.TemporaryDirectory() as tmpdirname:
           model.save_pretrained(__lowercase						)

           UpperCamelCase__      :       Tuple	    =  AutoModelForSeqaSeqLM.from_pretrained(__lowercase						)

           self.assertFalse(
               any("BetterTransformer" in mod.__class__.__name__ for _, mod in model_reloaded.named_modules()						)						)

           UpperCamelCase__      :       int	    =  model_reloaded.generate(**__lowercase						)
           self.assertTrue(torch.allclose(__lowercase							,       __lowercase						)						)







 def  __lowercase (		self :       Optional[Any]						):


      '''simple docstring'''






      UpperCamelCase__      :       int	    =  '''hf-internal-testing/tiny-random-t5'''
      UpperCamelCase__      :       Optional[Any]	    =  AutoModelForSeqaSeqLM.from_pretrained(__lowercase						)

      UpperCamelCase__      :       Dict	    =  model.to_bettertransformer()

      with tempfile.TemporaryDirectory() as tmpdirname:
           with self.assertRaises(__lowercase						):
                model.save_pretrained(__lowercase						)

           UpperCamelCase__      :       int	    =  model.reverse_bettertransformer()
           model.save_pretrained(__lowercase						)







import re







def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase      )			->     bool:
     UpperCamelCase__      :       Union[str, Any]	    =  re.compile(
         R"^(?:0|94|\+94|0{2}94)" R"7(0|1|2|4|5|6|7|8)" R"(-| |)" R"\d{7}$"      )

     return bool(re.search(__lowerCAmelCase ,   __lowerCAmelCase      )      )


if __name__ == "__main__":
 lowerCamelCase     :							Union[str, Any]    ='''0094702343221'''

 print(is_sri_lankan_phone_number(phone))