






from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding





class __lowerCamelCase					( snake_case__):





	"""simple docstring"""






	UpperCamelCase__								= ["image_processor", "tokenizer"]
	UpperCamelCase__								= "EfficientNetImageProcessor"
	UpperCamelCase__								= ("BertTokenizer", "BertTokenizerFast")

	def __init__(				self			,       UpperCAmelCase			,       UpperCAmelCase       ):
							"""simple docstring"""







							super().__init__(UpperCAmelCase			,       UpperCAmelCase       )

	def __call__(				self			,       UpperCAmelCase=None			,       UpperCAmelCase=None			,       UpperCAmelCase="max_length"			,       UpperCAmelCase=64			,       UpperCAmelCase=None			,       **UpperCAmelCase       ):
							"""simple docstring"""







							if text is None and images is None:
													raise ValueError('You have to specify either text or images. Both cannot be none.'       )

							if text is not None:
													_UpperCAmelCase							   =     self.tokenizer(
													    UpperCAmelCase			,       padding=UpperCAmelCase			,       max_length=UpperCAmelCase			,       return_tensors=UpperCAmelCase			,       **UpperCAmelCase       )

							if images is not None:
													_UpperCAmelCase							   =     self.image_processor(UpperCAmelCase			,       return_tensors=UpperCAmelCase			,       **UpperCAmelCase       )

							if text is not None and images is not None:
													_UpperCAmelCase							   =     image_features.pixel_values
													return encoding
							elif text is not None:
													return encoding
							else:
													return BatchEncoding(data=dict(**UpperCAmelCase       )			,       tensor_type=UpperCAmelCase       )

	def 			UpperCamelCase       (				self			,       *UpperCAmelCase			,       **UpperCAmelCase       ):
							"""simple docstring"""







							return self.tokenizer.batch_decode(*UpperCAmelCase			,       **UpperCAmelCase       )

	def 			UpperCamelCase       (				self			,       *UpperCAmelCase			,       **UpperCAmelCase       ):
							"""simple docstring"""







							return self.tokenizer.decode(*UpperCAmelCase			,       **UpperCAmelCase       )

	@property
	def 			UpperCamelCase       (				self       ):
							"""simple docstring"""







							_UpperCAmelCase							   =     self.tokenizer.model_input_names
							_UpperCAmelCase							   =     self.image_processor.model_input_names
							return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names       )       )








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
_a       =    '''src/transformers'''

# Matches is_xxx_available()
_a       =    re.compile(r'''is\_([a-z_]*)_available()''')
# Matches from xxx import bla
_a       =    re.compile(r'''\s+from\s+\S*\s+import\s+([^\(\s].*)\n''')
_a       =    re.compile(r'''^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)''')


_a       =    '''
{0} = None
'''

_a       =    '''
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
'''


_a       =    '''
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
'''


def __A       ( __lowerCAmelCase      )->    str:





						"""simple docstring"""



						if _re_test_backend.search(__lowerCAmelCase      ) is None:
												return None
						_UpperCAmelCase							   =     [b[0] for b in _re_backend.findall(__lowerCAmelCase      )]
						backends.sort()
						return "_and_".join(__lowerCAmelCase      )


def __A       ( )->    int:





						"""simple docstring"""



						with open(os.path.join(__lowerCAmelCase					,						'__init__.py'      )					,						'r'					,						encoding='utf-8'					,						newline='\n'      ) as f:
												_UpperCAmelCase							   =     f.readlines()

						# Get to the point we do the actual imports for type checking
						_UpperCAmelCase							   =     0
						while not lines[line_index].startswith('if TYPE_CHECKING'      ):
												line_index += 1

						_UpperCAmelCase							   =     {}
						# Go through the end of the file
						while line_index < len(__lowerCAmelCase      ):
												# If the line is an if is_backend_available, we grab all objects associated.
												_UpperCAmelCase							   =     find_backend(lines[line_index]      )
												if backend is not None:
																		while not lines[line_index].startswith('    else:'      ):
																								line_index += 1
																		line_index += 1

																		_UpperCAmelCase							   =     []
																		# Until we unindent, add backend objects to the list
																		while len(lines[line_index]      ) <= 1 or lines[line_index].startswith(' ' * 8      ):
																								_UpperCAmelCase							   =     lines[line_index]
																								_UpperCAmelCase							   =     _re_single_line_import.search(__lowerCAmelCase      )
																								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

																		_UpperCAmelCase							   =     objects
												else:
																		line_index += 1

						return backend_specific_objects


def __A       ( __lowerCAmelCase					,						__lowerCAmelCase      )->    Any:





						"""simple docstring"""



						if name.isupper():
												return DUMMY_CONSTANT.format(__lowerCAmelCase      )
						elif name.islower():
												return DUMMY_FUNCTION.format(__lowerCAmelCase					,						__lowerCAmelCase      )
						else:
												return DUMMY_CLASS.format(__lowerCAmelCase					,						__lowerCAmelCase      )


def __A       ( __lowerCAmelCase=None      )->    Union[str, Any]:





						"""simple docstring"""



						if backend_specific_objects is None:
												_UpperCAmelCase							   =     read_init()
						# For special correspondence backend to module name as used in the function requires_modulename
						_UpperCAmelCase							   =     {}

						for backend, objects in backend_specific_objects.items():
												_UpperCAmelCase							   =     '[' + ', '.join(F"""\"{b}\"""" for b in backend.split('_and_'      )      ) + ']'
												_UpperCAmelCase							   =     '# 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(__lowerCAmelCase					,						__lowerCAmelCase      ) for o in objects]      )
												_UpperCAmelCase							   =     dummy_file

						return dummy_files


def __A       ( __lowerCAmelCase=False      )->    int:





						"""simple docstring"""



						_UpperCAmelCase							   =     create_dummy_files()
						# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
						_UpperCAmelCase							   =     {'torch': 'pt'}

						# Locate actual dummy modules and read their content.
						_UpperCAmelCase							   =     os.path.join(__lowerCAmelCase					,						'utils'      )
						_UpperCAmelCase							   =     {
						    backend: os.path.join(__lowerCAmelCase					,						F"""dummy_{short_names.get(__lowerCAmelCase					,						__lowerCAmelCase      )}_objects.py"""      )
						    for backend in dummy_files.keys()
						}

						_UpperCAmelCase							   =     {}
						for backend, file_path in dummy_file_paths.items():
												if os.path.isfile(__lowerCAmelCase      ):
																		with open(__lowerCAmelCase					,						'r'					,						encoding='utf-8'					,						newline='\n'      ) as f:
																								_UpperCAmelCase							   =     f.read()
												else:
																		_UpperCAmelCase							   =     ''

						for backend in dummy_files.keys():
												if dummy_files[backend] != actual_dummies[backend]:
																		if overwrite:
																								print(
																								    F"""Updating transformers.utils.dummy_{short_names.get(__lowerCAmelCase					,						__lowerCAmelCase      )}_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(__lowerCAmelCase					,						__lowerCAmelCase      )}_objects.py. Run `make fix-copies` """
																								    'to fix this.'      )


if __name__ == "__main__":
		_a       =    argparse.ArgumentParser()
		parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
		_a       =    parser.parse_args()

		check_dummies(args.fix_and_overwrite)
