




'''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)











'''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				)





