



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 			_snake_case     (   unittest.TestCase):




				def 							A__ (  self   :  Optional[Any]  ):
							lowercase__   					=			"hf-internal-testing/tiny-random-t5"
							lowercase__   					=			AutoTokenizer.from_pretrained(__lowercase  )
							lowercase__   					=			AutoModelForSeqaSeqLM.from_pretrained(__lowercase  )

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

							lowercase__   					=			model.to_bettertransformer()

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

							lowercase__   					=			model.generate(**__lowercase  )

							lowercase__   					=			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  )

										lowercase__   					=			AutoModelForSeqaSeqLM.from_pretrained(__lowercase  )

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

										lowercase__   					=			model_reloaded.generate(**__lowercase  )
										self.assertTrue(torch.allclose(__lowercase,   __lowercase  )  )




				def 							A__ (  self   :  Union[str, Any]  ):
							lowercase__   					=			"hf-internal-testing/tiny-random-t5"
							lowercase__   					=			AutoModelForSeqaSeqLM.from_pretrained(__lowercase  )

							lowercase__   					=			model.to_bettertransformer()

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

										lowercase__   					=			model.reverse_bettertransformer()
										model.save_pretrained(__lowercase  )









from __future__ import annotations



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			return len(set(SCREAMING_SNAKE_CASE_					)					) == len(SCREAMING_SNAKE_CASE_					)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




