





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 UpperCamelCase_ (      self      :					List[Any]							):


    '''simple docstring'''





    _snake_case   :				int														=	'hf-internal-testing/tiny-random-t5'
    _snake_case   :				List[str]														=	AutoTokenizer.from_pretrained(UpperCamelCase							)
    _snake_case   :				Any														=	AutoModelForSeqaSeqLM.from_pretrained(UpperCamelCase							)

    _snake_case   :				Tuple														=	tokenizer('This is me'      ,				return_tensors='pt'							)

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

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

    _snake_case   :				Any														=	model.generate(**UpperCamelCase							)

    _snake_case   :				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(UpperCamelCase							)

      _snake_case   :				str														=	AutoModelForSeqaSeqLM.from_pretrained(UpperCamelCase							)

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

      _snake_case   :				Optional[Any]														=	model_reloaded.generate(**UpperCamelCase							)
      self.assertTrue(torch.allclose(UpperCamelCase      ,				UpperCamelCase							)							)







  def UpperCamelCase_ (      self      :					Dict							):


    '''simple docstring'''





    _snake_case   :				str														=	'hf-internal-testing/tiny-random-t5'
    _snake_case   :				Union[str, Any]														=	AutoModelForSeqaSeqLM.from_pretrained(UpperCamelCase							)

    _snake_case   :				List[Any]														=	model.to_bettertransformer()

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

      _snake_case   :				Optional[int]														=	model.reverse_bettertransformer()
      model.save_pretrained(UpperCamelCase							)











def     lowerCamelCase_	(      lowerCAmelCase:	int				)->		int:

  if not isinstance(lowerCAmelCase    ,							lowerCAmelCase				):
    _snake_case   :				Union[str, Any]														=	F"""Input value of [number={number}] must be an integer"""
    raise TypeError(lowerCAmelCase				)

  if number < 1:
    _snake_case   :				int														=	F"""Input value of [number={number}] must be > 0"""
    raise ValueError(lowerCAmelCase				)

  _snake_case   :				int														=	1

  for i in range(1    ,							lowerCAmelCase				):
    current_number *= 4 * i - 2
    current_number //= i + 1

  return current_number


if __name__ == "__main__":
      import doctest

      doctest.testmod()




