


'''simple docstring'''







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  lowerCAmelCase_						(       unittest.TestCase      ):





  """simple docstring"""



  def __a						(					self     :							List[str]						):





       '''simple docstring'''

       __a       =   """hf-internal-testing/tiny-random-t5"""
       __a       =   AutoTokenizer.from_pretrained(SCREAMING_SNAKE_CASE__						)
       __a       =   AutoModelForSeqaSeqLM.from_pretrained(SCREAMING_SNAKE_CASE__						)

       __a       =   tokenizer("""This is me"""				,							return_tensors="""pt"""						)

       __a       =   model.to_bettertransformer()

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

       __a       =   model.generate(**SCREAMING_SNAKE_CASE__						)

       __a       =   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(SCREAMING_SNAKE_CASE__						)

            __a       =   AutoModelForSeqaSeqLM.from_pretrained(SCREAMING_SNAKE_CASE__						)

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

            __a       =   model_reloaded.generate(**SCREAMING_SNAKE_CASE__						)
            self.assertTrue(torch.allclose(SCREAMING_SNAKE_CASE__				,							SCREAMING_SNAKE_CASE__						)						)


  def __a						(					self     :							Union[str, Any]						):





       '''simple docstring'''

       __a       =   """hf-internal-testing/tiny-random-t5"""
       __a       =   AutoModelForSeqaSeqLM.from_pretrained(SCREAMING_SNAKE_CASE__						)

       __a       =   model.to_bettertransformer()

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

            __a       =   model.reverse_bettertransformer()
            model.save_pretrained(SCREAMING_SNAKE_CASE__						)










'''simple docstring'''







def        __lowercase						(      __SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE		)				->					str:
     """simple docstring"""




     __a       =   """"""
     for word_or_phrase in separated:
          if not isinstance(__SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE		):
               raise Exception("""join() accepts only strings to be joined"""		)
          joined += word_or_phrase + separator
     return joined.strip(__SCREAMING_SNAKE_CASE		)


if __name__ == "__main__":
 from doctest import testmod

 testmod()






