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
  __SCREAMING_SNAKE_CASE					=						'src/transformers'
  
  # Matches is_xxx_available()
  __SCREAMING_SNAKE_CASE					=						re.compile(r"""is\_([a-z_]*)_available()""")
  # Matches from xxx import bla
  __SCREAMING_SNAKE_CASE					=						re.compile(r"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")
  __SCREAMING_SNAKE_CASE					=						re.compile(r"""^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)""")
  
  
  __SCREAMING_SNAKE_CASE					=						'\n{0} = None\n'
  
  __SCREAMING_SNAKE_CASE					=						'\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n'
  
  
  __SCREAMING_SNAKE_CASE					=						'\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'
  
  
  
  def 						__a      (  a					)     ->   Dict:
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         if _re_test_backend.search(lowercase_					) is None:
                return None
         _a          =				[b[0] for b in _re_backend.findall(lowercase_					)]
         backends.sort()
         return "_and_".join(lowercase_					)
  
  
  
  def 						__a      (  )     ->   Union[str, Any]:
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         with open(os.path.join(lowercase_,		"__init__.py"					),		"r",		encoding="utf-8",		newline="\n"					) as f:
                _a          =				f.readlines()
  
         # Get to the point we do the actual imports for type checking
         _a          =				0
         while not lines[line_index].startswith("if TYPE_CHECKING"					):
                line_index += 1
  
         _a          =				{}
         # 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.
                _a          =				find_backend(lines[line_index]					)
                if backend is not None:
                       while not lines[line_index].startswith("    else:"					):
                              line_index += 1
                       line_index += 1
  
                       _a          =				[]
                       # Until we unindent, add backend objects to the list
                       while len(lines[line_index]					) <= 1 or lines[line_index].startswith(" " * 8					):
                              _a          =				lines[line_index]
                              _a          =				_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(" " * 1_2					):
                                     objects.append(line[1_2:-2]					)
                              line_index += 1
  
                       _a          =				objects
                else:
                       line_index += 1
  
         return backend_specific_objects
  
  
  
  def 						__a      (  a,		a					)     ->   List[Any]:
  
  
  
  
  
         """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 						__a      (  a=None					)     ->   str:
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         if backend_specific_objects is None:
                _a          =				read_init()
         # For special correspondence backend to module name as used in the function requires_modulename
         _a          =				{}
  
         for backend, objects in backend_specific_objects.items():
                _a          =				"[" + ", ".join(F'"{b}"' for b in backend.split("_and_"					)					) + "]"
                _a          =				"# 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]					)
                _a          =				dummy_file
  
         return dummy_files
  
  
  
  def 						__a      (  a=False					)     ->   Any:
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         _a          =				create_dummy_files()
         # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
         _a          =				{"torch": "pt"}
  
         # Locate actual dummy modules and read their content.
         _a          =				os.path.join(lowercase_,		"utils"					)
         _a          =				{
             backend: os.path.join(lowercase_,		F'dummy_{short_names.get(lowercase_,		lowercase_					)}_objects.py'					)
             for backend in dummy_files.keys()
         }
  
         _a          =				{}
         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:
                              _a          =				f.read()
                else:
                       _a          =				""
  
         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__":
     __SCREAMING_SNAKE_CASE					=						argparse.ArgumentParser()
     parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
     __SCREAMING_SNAKE_CASE					=						parser.parse_args()
  
     check_dummies(args.fix_and_overwrite)
  
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  import warnings
  
  from ...utils import logging
  from .image_processing_vit import ViTImageProcessor
  
  
  __SCREAMING_SNAKE_CASE					=						logging.get_logger(__name__)
  
  
  
  
  
  class __snake_case		(					_SCREAMING_SNAKE_CASE      ):
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
  
     def __init__(		self							:Tuple				,  *UpperCamelCase__							:Tuple				,  **UpperCamelCase__							:Any       ):
            warnings.warn(
                "The class ViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
                " use ViTImageProcessor instead."				,  UpperCamelCase__				,  )
            super().__init__(*UpperCamelCase__				,  **UpperCamelCase__       )
  