"""simple docstring"""






import warnings
from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType

class lowerCamelCase		(_SCREAMING_SNAKE_CASE      ):






					'''simple docstring'''


					a   	=		["image_processor", "tokenizer"]
					a   	=		"FlavaImageProcessor"
					a   	=		("BertTokenizer", "BertTokenizerFast")



					def __init__(						self			:				Optional[int]   , _snake_case			:				Any=None   , _snake_case			:				List[Any]=None   , **_snake_case			:				Dict		)							->       List[str]:
									SCREAMING_SNAKE_CASE__		  =				None
									if "feature_extractor" in kwargs:
													warnings.warn(
													    "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
													    " instead."   , _snake_case   , )
													SCREAMING_SNAKE_CASE__		  =				kwargs.pop("feature_extractor"		)

									SCREAMING_SNAKE_CASE__		  =				image_processor if image_processor is not None else feature_extractor
									if image_processor is None:
													raise ValueError("You need to specify an `image_processor`."		)
									if tokenizer is None:
													raise ValueError("You need to specify a `tokenizer`."		)

									super().__init__(_snake_case   , _snake_case		)
									SCREAMING_SNAKE_CASE__		  =				self.image_processor



					def __call__(						self			:				Dict   , _snake_case			:				Optional[ImageInput] = None   , _snake_case			:				Optional[Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]]] = None   , _snake_case			:				bool = True   , _snake_case			:				Union[bool, str, PaddingStrategy] = False   , _snake_case			:				Union[bool, str, TruncationStrategy] = False   , _snake_case			:				Optional[int] = None   , _snake_case			:				int = 0   , _snake_case			:				Optional[int] = None   , _snake_case			:				Optional[bool] = None   , _snake_case			:				Optional[bool] = None   , _snake_case			:				Optional[bool] = None   , _snake_case			:				Optional[bool] = None   , _snake_case			:				bool = False   , _snake_case			:				bool = False   , _snake_case			:				bool = False   , _snake_case			:				bool = False   , _snake_case			:				bool = True   , _snake_case			:				Optional[Union[str, TensorType]] = None   , **_snake_case			:				Dict   , )							->       List[str]:

									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:
													SCREAMING_SNAKE_CASE__		  =				self.tokenizer(
													    text=_snake_case   , add_special_tokens=_snake_case   , padding=_snake_case   , truncation=_snake_case   , max_length=_snake_case   , stride=_snake_case   , pad_to_multiple_of=_snake_case   , return_token_type_ids=_snake_case   , return_attention_mask=_snake_case   , return_overflowing_tokens=_snake_case   , return_special_tokens_mask=_snake_case   , return_offsets_mapping=_snake_case   , return_length=_snake_case   , verbose=_snake_case   , return_tensors=_snake_case   , **_snake_case   , )
									if images is not None:
													SCREAMING_SNAKE_CASE__		  =				self.image_processor(
													    _snake_case   , return_image_mask=_snake_case   , return_codebook_pixels=_snake_case   , return_tensors=_snake_case   , **_snake_case   , )

									if text is not None and images is not None:
													encoding.update(_snake_case		)
													return encoding
									elif text is not None:
													return encoding
									else:
													return BatchEncoding(data=dict(**_snake_case		)   , tensor_type=_snake_case		)



					def 			lowerCAmelCase_					(						self			:				str   , *_snake_case			:				Union[str, Any]   , **_snake_case			:				Optional[Any]		)							->       List[Any]:
									return self.tokenizer.batch_decode(*_snake_case   , **_snake_case		)



					def 			lowerCAmelCase_					(						self			:				Tuple   , *_snake_case			:				Dict   , **_snake_case			:				Optional[int]		)							->       Union[str, Any]:
									return self.tokenizer.decode(*_snake_case   , **_snake_case		)



					@property
					def 			lowerCAmelCase_					(						self			:				Optional[Any]		)							->       Optional[Any]:
									SCREAMING_SNAKE_CASE__		  =				self.tokenizer.model_input_names
									SCREAMING_SNAKE_CASE__		  =				self.image_processor.model_input_names
									return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names		)		)



					@property
					def 			lowerCAmelCase_					(						self			:				List[Any]		)							->       Any:
									warnings.warn(
									    "`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."   , _snake_case   , )
									return self.image_processor_class



					@property
					def 			lowerCAmelCase_					(						self			:				str		)							->       Optional[int]:
									warnings.warn(
									    "`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."   , _snake_case   , )
									return self.image_processor





"""simple docstring"""






import collections
import os
import re
from pathlib import Path


_A   					=    'src/transformers'


# Matches is_xxx_available()
_A   					=    re.compile(R'is\_([a-z_]*)_available()')
# Catches a one-line _import_struct = {xxx}
_A   					=    re.compile(R'^_import_structure\s+=\s+\{([^\}]+)\}')
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
_A   					=    re.compile(R'\s+"\S*":\s+\[([^\]]*)\]')
# Catches a line if not is_foo_available
_A   					=    re.compile(R'^\s*if\s+not\s+is\_[a-z_]*\_available\(\)')
# Catches a line _import_struct["bla"].append("foo")
_A   					=    re.compile(R'^\s*_import_structure\["\S*"\]\.append\("(\S*)"\)')
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
_A   					=    re.compile(R'^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]')
# Catches a line with an object between quotes and a comma:     "MyModel",
_A   					=    re.compile(R'^\s+"([^"]+)",')
# Catches a line with objects between brackets only:    ["foo", "bar"],
_A   					=    re.compile(R'^\s+\[([^\]]+)\]')
# Catches a line with from foo import bar, bla, boo
_A   					=    re.compile(R'\s+from\s+\S*\s+import\s+([^\(\s].*)\n')
# Catches a line with try:
_A   					=    re.compile(R'^\s*try:')
# Catches a line with else:
_A   					=    re.compile(R'^\s*else:')




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase       )							->   List[str]:
				if _re_test_backend.search(__UpperCAmelCase       ) is None:
								return None
				SCREAMING_SNAKE_CASE__		  =				[b[0] for b in _re_backend.findall(__UpperCAmelCase       )]
				backends.sort()
				return "_and_".join(__UpperCAmelCase       )




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase       )							->   Optional[Any]:
				with open(__UpperCAmelCase  ,					"r"  ,					encoding="utf-8"  ,					newline="\n"       ) as f:
								SCREAMING_SNAKE_CASE__		  =				f.readlines()

				SCREAMING_SNAKE_CASE__		  =				0
				while line_index < len(__UpperCAmelCase       ) and not lines[line_index].startswith("_import_structure = {"       ):
								line_index += 1

				# If this is a traditional init, just return.
				if line_index >= len(__UpperCAmelCase       ):
								return None

				# First grab the objects without a specific backend in _import_structure
				SCREAMING_SNAKE_CASE__		  =				[]
				while not lines[line_index].startswith("if TYPE_CHECKING"       ) and find_backend(lines[line_index]       ) is None:
								SCREAMING_SNAKE_CASE__		  =				lines[line_index]
								# If we have everything on a single line, let's deal with it.
								if _re_one_line_import_struct.search(__UpperCAmelCase       ):
												SCREAMING_SNAKE_CASE__		  =				_re_one_line_import_struct.search(__UpperCAmelCase       ).groups()[0]
												SCREAMING_SNAKE_CASE__		  =				re.findall(R"\[([^\]]+)\]"  ,					__UpperCAmelCase       )
												for imp in imports:
																objects.extend([obj[1:-1] for obj in imp.split(", "       )]       )
												line_index += 1
												continue
								SCREAMING_SNAKE_CASE__		  =				_re_import_struct_key_value.search(__UpperCAmelCase       )
								if single_line_import_search is not None:
												SCREAMING_SNAKE_CASE__		  =				[obj[1:-1] for obj in single_line_import_search.groups()[0].split(", "       ) if len(__UpperCAmelCase       ) > 0]
												objects.extend(__UpperCAmelCase       )
								elif line.startswith(" " * 8 + "\""       ):
												objects.append(line[9:-3]       )
								line_index += 1

				SCREAMING_SNAKE_CASE__		  =				{"none": objects}
				# Let's continue with backend-specific objects in _import_structure
				while not lines[line_index].startswith("if TYPE_CHECKING"       ):
								# If the line is an if not is_backend_available, we grab all objects associated.
								SCREAMING_SNAKE_CASE__		  =				find_backend(lines[line_index]       )
								# Check if the backend declaration is inside a try block:
								if _re_try.search(lines[line_index - 1]       ) is None:
												SCREAMING_SNAKE_CASE__		  =				None

								if backend is not None:
												line_index += 1

												# Scroll until we hit the else block of try-except-else
												while _re_else.search(lines[line_index]       ) is None:
																line_index += 1

												line_index += 1

												SCREAMING_SNAKE_CASE__		  =				[]
												# Until we unindent, add backend objects to the list
												while len(lines[line_index]       ) <= 1 or lines[line_index].startswith(" " * 4       ):
																SCREAMING_SNAKE_CASE__		  =				lines[line_index]
																if _re_import_struct_add_one.search(__UpperCAmelCase       ) is not None:
																				objects.append(_re_import_struct_add_one.search(__UpperCAmelCase       ).groups()[0]       )
																elif _re_import_struct_add_many.search(__UpperCAmelCase       ) is not None:
																				SCREAMING_SNAKE_CASE__		  =				_re_import_struct_add_many.search(__UpperCAmelCase       ).groups()[0].split(", "       )
																				SCREAMING_SNAKE_CASE__		  =				[obj[1:-1] for obj in imports if len(__UpperCAmelCase       ) > 0]
																				objects.extend(__UpperCAmelCase       )
																elif _re_between_brackets.search(__UpperCAmelCase       ) is not None:
																				SCREAMING_SNAKE_CASE__		  =				_re_between_brackets.search(__UpperCAmelCase       ).groups()[0].split(", "       )
																				SCREAMING_SNAKE_CASE__		  =				[obj[1:-1] for obj in imports if len(__UpperCAmelCase       ) > 0]
																				objects.extend(__UpperCAmelCase       )
																elif _re_quote_object.search(__UpperCAmelCase       ) is not None:
																				objects.append(_re_quote_object.search(__UpperCAmelCase       ).groups()[0]       )
																elif line.startswith(" " * 8 + "\""       ):
																				objects.append(line[9:-3]       )
																elif line.startswith(" " * 12 + "\""       ):
																				objects.append(line[13:-3]       )
																line_index += 1

												SCREAMING_SNAKE_CASE__		  =				objects
								else:
												line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
				SCREAMING_SNAKE_CASE__		  =				[]
				while (
				    line_index < len(__UpperCAmelCase       )
				    and find_backend(lines[line_index]       ) is None
				    and not lines[line_index].startswith("else"       )
				):
								SCREAMING_SNAKE_CASE__		  =				lines[line_index]
								SCREAMING_SNAKE_CASE__		  =				_re_import.search(__UpperCAmelCase       )
								if single_line_import_search is not None:
												objects.extend(single_line_import_search.groups()[0].split(", "       )       )
								elif line.startswith(" " * 8       ):
												objects.append(line[8:-2]       )
								line_index += 1

				SCREAMING_SNAKE_CASE__		  =				{"none": objects}
				# Let's continue with backend-specific objects
				while line_index < len(__UpperCAmelCase       ):
								# If the line is an if is_backend_available, we grab all objects associated.
								SCREAMING_SNAKE_CASE__		  =				find_backend(lines[line_index]       )
								# Check if the backend declaration is inside a try block:
								if _re_try.search(lines[line_index - 1]       ) is None:
												SCREAMING_SNAKE_CASE__		  =				None

								if backend is not None:
												line_index += 1

												# Scroll until we hit the else block of try-except-else
												while _re_else.search(lines[line_index]       ) is None:
																line_index += 1

												line_index += 1

												SCREAMING_SNAKE_CASE__		  =				[]
												# Until we unindent, add backend objects to the list
												while len(lines[line_index]       ) <= 1 or lines[line_index].startswith(" " * 8       ):
																SCREAMING_SNAKE_CASE__		  =				lines[line_index]
																SCREAMING_SNAKE_CASE__		  =				_re_import.search(__UpperCAmelCase       )
																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

												SCREAMING_SNAKE_CASE__		  =				objects
								else:
												line_index += 1

				return import_dict_objects, type_hint_objects




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase  ,					__UpperCAmelCase       )							->   Any:

				def find_duplicates(__UpperCAmelCase       ):
								return [k for k, v in collections.Counter(__UpperCAmelCase       ).items() if v > 1]

				if list(import_dict_objects.keys()       ) != list(type_hint_objects.keys()       ):
								return ["Both sides of the init do not have the same backends!"]

				SCREAMING_SNAKE_CASE__		  =				[]
				for key in import_dict_objects.keys():
								SCREAMING_SNAKE_CASE__		  =				find_duplicates(import_dict_objects[key]       )
								if duplicate_imports:
												errors.append(F"""Duplicate _import_structure definitions for: {duplicate_imports}"""       )
								SCREAMING_SNAKE_CASE__		  =				find_duplicates(type_hint_objects[key]       )
								if duplicate_type_hints:
												errors.append(F"""Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}"""       )

								if sorted(set(import_dict_objects[key]       )       ) != sorted(set(type_hint_objects[key]       )       ):
												SCREAMING_SNAKE_CASE__		  =				"base imports" if key == "none" else F"""{key} backend"""
												errors.append(F"""Differences for {name}:"""       )
												for a in type_hint_objects[key]:
																if a not in import_dict_objects[key]:
																				errors.append(F"""  {a} in TYPE_HINT but not in _import_structure."""       )
												for a in import_dict_objects[key]:
																if a not in type_hint_objects[key]:
																				errors.append(F"""  {a} in _import_structure but not in TYPE_HINT."""       )
				return errors




def 						SCREAMING_SNAKE_CASE					(  )							->   List[Any]:
				SCREAMING_SNAKE_CASE__		  =				[]
				for root, _, files in os.walk(__UpperCAmelCase       ):
								if "__init__.py" in files:
												SCREAMING_SNAKE_CASE__		  =				os.path.join(__UpperCAmelCase  ,					"__init__.py"       )
												SCREAMING_SNAKE_CASE__		  =				parse_init(__UpperCAmelCase       )
												if objects is not None:
																SCREAMING_SNAKE_CASE__		  =				analyze_results(*__UpperCAmelCase       )
																if len(__UpperCAmelCase       ) > 0:
																				SCREAMING_SNAKE_CASE__		  =				F"""Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"""
																				failures.append("\n".join(__UpperCAmelCase       )       )
				if len(__UpperCAmelCase       ) > 0:
								raise ValueError("\n\n".join(__UpperCAmelCase       )       )




def 						SCREAMING_SNAKE_CASE					(  )							->   Optional[Any]:
				SCREAMING_SNAKE_CASE__		  =				[]
				for path, directories, files in os.walk(__UpperCAmelCase       ):
								for folder in directories:
												# Ignore private modules
												if folder.startswith("_"       ):
																directories.remove(__UpperCAmelCase       )
																continue
												# Ignore leftovers from branches (empty folders apart from pycache)
												if len(list((Path(__UpperCAmelCase       ) / folder).glob("*.py"       )       )       ) == 0:
																continue
												SCREAMING_SNAKE_CASE__		  =				str((Path(__UpperCAmelCase       ) / folder).relative_to(__UpperCAmelCase       )       )
												SCREAMING_SNAKE_CASE__		  =				short_path.replace(os.path.sep  ,					"."       )
												submodules.append(__UpperCAmelCase       )
								for fname in files:
												if fname == "__init__.py":
																continue
												SCREAMING_SNAKE_CASE__		  =				str((Path(__UpperCAmelCase       ) / fname).relative_to(__UpperCAmelCase       )       )
												SCREAMING_SNAKE_CASE__		  =				short_path.replace(".py"  ,					""       ).replace(os.path.sep  ,					"."       )
												if len(submodule.split("."       )       ) == 1:
																submodules.append(__UpperCAmelCase       )
				return submodules


_A   					=    [
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
    'models.esm.openfold_utils',
]




def 						SCREAMING_SNAKE_CASE					(  )							->   Union[str, Any]:
				# This is to make sure the transformers module imported is the one in the repo.
				from transformers.utils import direct_transformers_import

				SCREAMING_SNAKE_CASE__		  =				direct_transformers_import(__UpperCAmelCase       )

				SCREAMING_SNAKE_CASE__		  =				set(transformers._import_structure.keys()       )
				# This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
				# some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
				# (potentiall re-) add them.
				with open(os.path.join(__UpperCAmelCase  ,					"__init__.py"       )  ,					"r"       ) as f:
								SCREAMING_SNAKE_CASE__		  =				f.read()
				import_structure_keys.update(set(re.findall(R"import_structure\[\"([^\"]*)\"\]"  ,					__UpperCAmelCase       )       )       )

				SCREAMING_SNAKE_CASE__		  =				[
				    module
				    for module in get_transformers_submodules()
				    if module not in IGNORE_SUBMODULES and module not in import_structure_keys
				]

				if len(__UpperCAmelCase       ) > 0:
								SCREAMING_SNAKE_CASE__		  =				"\n".join(F"""- {module}""" for module in module_not_registered       )
								raise ValueError(
								    "The following submodules are not properly registed in the main init of Transformers:\n"
								    F"""{list_of_modules}\n"""
								    "Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value."       )


if __name__ == "__main__":
						check_all_inits()
						check_submodules()




