


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
UpperCAmelCase__   	=							'''.'''


if __name__ == "__main__":
  UpperCAmelCase__   	=							os.path.join(REPO_PATH, '''utils/documentation_tests.txt''')
  UpperCAmelCase__   	=							[]
  UpperCAmelCase__   	=							[]
  with open(doctest_file_path) as fp:
    for line in fp:
      UpperCAmelCase__   	=							line.strip()
      UpperCAmelCase__   	=							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:
    UpperCAmelCase__   	=							'''\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.''')





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase__   	=							{
    '''configuration_timesformer''': ['''TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TimesformerConfig'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__   	=							[
      '''TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''TimesformerModel''',
      '''TimesformerForVideoClassification''',
      '''TimesformerPreTrainedModel''',
  ]

if TYPE_CHECKING:
  from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_timesformer import (
        TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TimesformerForVideoClassification,
        TimesformerModel,
        TimesformerPreTrainedModel,
    )

else:
  import sys

  UpperCAmelCase__   	=							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

