


"""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)




"""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__       )
