code: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  
  
  import argparse
  import os
  import re
  
  
  # All paths are set with the intent you should run this script from the root of the repo with the command
  # python utils/check_dummies.py
  _lowerCamelCase							:		Optional[int]										=						'src/transformers'
  
  # Matches is_xxx_available()
  _lowerCamelCase							:		Optional[int]										=						re.compile(R'is\_([a-z_]*)_available()')
  # Matches from xxx import bla
  _lowerCamelCase							:		Any										=						re.compile(R'\s+from\s+\S*\s+import\s+([^\(\s].*)\n')
  _lowerCamelCase							:		Any										=						re.compile(R'^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)')
  
  
  _lowerCamelCase							:		List[Any]										=						'\n{0} = None\n'
  
  _lowerCamelCase							:		str										=						'\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n'
  
  
  _lowerCamelCase							:		Union[str, Any]										=						'\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'
  
  
  
  
  
  
  def 	_lowercase	(			lowercase_						):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		if _re_test_backend.search(lowercase_						) is None:
  				return None
  		_snake_case			 = [b[0] for b in _re_backend.findall(lowercase_						)]
  		backends.sort()
  		return "_and_".join(lowercase_						)
  
  
  
  
  
  
  def 	_lowercase	(			):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		with open(os.path.join(lowercase_		,							"__init__.py"						)		,							"r"		,							encoding="utf-8"		,							newline="\n"						) as f:
  				_snake_case			 = f.readlines()
  
  		# Get to the point we do the actual imports for type checking
  		_snake_case			 = 0
  		while not lines[line_index].startswith("if TYPE_CHECKING"						):
  				line_index += 1
  
  		_snake_case			 = {}
  		# Go through the end of the file
  		while line_index < len(lowercase_						):
  				# If the line is an if is_backend_available, we grab all objects associated.
  				_snake_case			 = find_backend(lines[line_index]						)
  				if backend is not None:
  						while not lines[line_index].startswith("    else:"						):
  								line_index += 1
  						line_index += 1
  
  						_snake_case			 = []
  						# Until we unindent, add backend objects to the list
  						while len(lines[line_index]						) <= 1 or lines[line_index].startswith(" " * 8						):
  								_snake_case			 = lines[line_index]
  								_snake_case			 = _re_single_line_import.search(lowercase_						)
  								if single_line_import_search is not None:
  										objects.extend(single_line_import_search.groups()[0].split(", "						)						)
  								elif line.startswith(" " * 12						):
  										objects.append(line[12:-2]						)
  								line_index += 1
  
  						_snake_case			 = objects
  				else:
  						line_index += 1
  
  		return backend_specific_objects
  
  
  
  
  
  
  def 	_lowercase	(			lowercase_		,							lowercase_						):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		if name.isupper():
  				return DUMMY_CONSTANT.format(lowercase_						)
  		elif name.islower():
  				return DUMMY_FUNCTION.format(lowercase_		,							lowercase_						)
  		else:
  				return DUMMY_CLASS.format(lowercase_		,							lowercase_						)
  
  
  
  
  
  
  def 	_lowercase	(			lowercase_=None						):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		if backend_specific_objects is None:
  				_snake_case			 = read_init()
  		# For special correspondence backend to module name as used in the function requires_modulename
  		_snake_case			 = {}
  
  		for backend, objects in backend_specific_objects.items():
  				_snake_case			 = "[" + ", ".join(f'''"{b}"''' for b in backend.split("_and_"						)						) + "]"
  				_snake_case			 = "# This file is autogenerated by the command `make fix-copies`, do not edit.\n"
  				dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
  				dummy_file += "\n".join([create_dummy_object(lowercase_		,							lowercase_						) for o in objects]						)
  				_snake_case			 = dummy_file
  
  		return dummy_files
  
  
  
  
  
  
  def 	_lowercase	(			lowercase_=False						):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		_snake_case			 = create_dummy_files()
  		# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
  		_snake_case			 = {"torch": "pt"}
  
  		# Locate actual dummy modules and read their content.
  		_snake_case			 = os.path.join(lowercase_		,							"utils"						)
  		_snake_case			 = {
  		    backend: os.path.join(lowercase_		,							f'''dummy_{short_names.get(lowercase_		,							lowercase_						)}_objects.py'''						)
  		    for backend in dummy_files.keys()
  		}
  
  		_snake_case			 = {}
  		for backend, file_path in dummy_file_paths.items():
  				if os.path.isfile(lowercase_						):
  						with open(lowercase_		,							"r"		,							encoding="utf-8"		,							newline="\n"						) as f:
  								_snake_case			 = f.read()
  				else:
  						_snake_case			 = ""
  
  		for backend in dummy_files.keys():
  				if dummy_files[backend] != actual_dummies[backend]:
  						if overwrite:
  								print(
  								    f'''Updating transformers.utils.dummy_{short_names.get(lowercase_		,							lowercase_						)}_objects.py as the main '''
  								    "__init__ has new objects."						)
  								with open(dummy_file_paths[backend]		,							"w"		,							encoding="utf-8"		,							newline="\n"						) as f:
  										f.write(dummy_files[backend]						)
  						else:
  								raise ValueError(
  								    "The main __init__ has objects that are not present in "
  								    f'''transformers.utils.dummy_{short_names.get(lowercase_		,							lowercase_						)}_objects.py. Run `make fix-copies` '''
  								    "to fix this."						)
  
  
  if __name__ == "__main__":
  						_lowerCamelCase							:		Any										=						argparse.ArgumentParser()
  						parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
  						_lowerCamelCase							:		Dict										=						parser.parse_args()
  
  						check_dummies(args.fix_and_overwrite)
  
  
  
  
  
  
style_context: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  
  
  import warnings
  
  from ...utils import logging
  from .image_processing_vilt import ViltImageProcessor
  
  
  _lowerCamelCase							:		Optional[Any]										=						logging.get_logger(__name__)
  
  
  
  
  
  class   lowerCamelCase_							( UpperCAmelCase_							):
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  					def __init__(					self,						*__UpperCamelCase,						**__UpperCamelCase				):
  							warnings.warn(
  							    "The class ViltFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
  							    " use ViltImageProcessor instead.",						__UpperCamelCase,						)
  							super().__init__(*__UpperCamelCase,						**__UpperCamelCase				)
  
  
  
  
  
  