





import re
from pathlib import Path
from unittest import TestCase

import pytest







@pytest.mark.integration
class   __lowerCAmelCase			(					__lowerCamelCase  ):





   def 	_snake_case ( self					,			snake_case      )				->  Dict:
      """simple docstring"""





      with open(UpperCAmelCase_					,			encoding="utf-8"      ) as input_file:
         a__	:						List[Any]      		=  re.compile(r"(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"      )
         a__	:						Dict      		=  input_file.read()
         a__	:						Dict      		=  regexp.search(UpperCAmelCase_      )

      return match





   def 	_snake_case ( self					,			snake_case      )				->  Optional[int]:
      """simple docstring"""





      with open(UpperCAmelCase_					,			encoding="utf-8"      ) as input_file:
         a__	:						Tuple      		=  re.compile(r"#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"					,			re.DOTALL      )
         a__	:						List[str]      		=  input_file.read()
         # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
         a__	:						Union[str, Any]      		=  regexp.finditer(UpperCAmelCase_      )

      a__	:						Tuple      		=  [match for match in matches if match is not None and match.group(1      ) is not None]
      return matches[0] if matches else None





   def 	_snake_case ( self      )				->  Any:
      """simple docstring"""





      a__	:						Dict      		=  Path("./datasets"      )
      a__	:						List[str]      		=  list(dataset_paths.absolute().glob("**/*.py"      )      )

      for dataset in dataset_files:
         if self._no_encoding_on_file_open(str(UpperCAmelCase_      )      ):
            raise AssertionError(F"""open(...) must use utf-8 encoding in {dataset}"""      )





   def 	_snake_case ( self      )				->  List[Any]:
      """simple docstring"""





      a__	:						Optional[Any]      		=  Path("./datasets"      )
      a__	:						str      		=  list(dataset_paths.absolute().glob("**/*.py"      )      )

      for dataset in dataset_files:
         if self._no_print_statements(str(UpperCAmelCase_      )      ):
            raise AssertionError(F"""print statement found in {dataset}. Use datasets.logger/logging instead."""      )








from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


SCREAMING_SNAKE_CASE__       :			List[str]			      =						{"""configuration_van""": ["""VAN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """VanConfig"""]}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE__       :			Optional[int]			      =						[
      """VAN_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """VanForImageClassification""",
      """VanModel""",
      """VanPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_van import (
        VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
        VanForImageClassification,
        VanModel,
        VanPreTrainedModel,
    )

else:
  import sys

  SCREAMING_SNAKE_CASE__       :			List[str]			      =						_LazyModule(__name__, globals()["""__file__"""], _import_structure)

