
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     ):






		def 					__A			(						self						:				Optional[Any]    )	->				int:
						__lowerCamelCase          =      """hf-internal-testing/tiny-random-t5"""
						__lowerCamelCase          =      AutoTokenizer.from_pretrained(__a    )
						__lowerCamelCase          =      AutoModelForSeqaSeqLM.from_pretrained(__a    )

						__lowerCamelCase          =      tokenizer('''This is me'''				,     return_tensors='''pt'''    )

						__lowerCamelCase          =      model.to_bettertransformer()

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

						__lowerCamelCase          =      model.generate(**__a    )

						__lowerCamelCase          =      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(__a    )

										__lowerCamelCase          =      AutoModelForSeqaSeqLM.from_pretrained(__a    )

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

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







		def 					__A			(						self						:				List[Any]    )	->				int:
						__lowerCamelCase          =      """hf-internal-testing/tiny-random-t5"""
						__lowerCamelCase          =      AutoModelForSeqaSeqLM.from_pretrained(__a    )

						__lowerCamelCase          =      model.to_bettertransformer()

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

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









'''simple docstring'''







import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
lowercase      :   List[str]      =       """."""


if __name__ == "__main__":
      lowercase      :   List[str]      =       os.path.join(REPO_PATH, """utils/documentation_tests.txt""")
      lowercase      :   Union[str, Any]      =       []
      lowercase      :   List[str]      =       []
      with open(doctest_file_path) as fp:
            for line in fp:
                  lowercase      :   List[str]      =       line.strip()
                  lowercase      :   Optional[Any]      =       os.path.join(REPO_PATH, line)
                  if not (os.path.isfile(path) or os.path.isdir(path)):
                        non_existent_paths.append(line)
                  all_paths.append(path)
      if len(non_existent_paths) > 0:
            lowercase      :   int      =       """\n""".join(non_existent_paths)
            raise ValueError(F"""`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}""")
      if all_paths != sorted(all_paths):
            raise ValueError("""Files in `utils/documentation_tests.txt` are not in alphabetical order.""")



