






import os
import warnings
from pathlib import Path
from typing import Optional, Union

from .dynamic_module_utils import custom_object_save
from .tokenization_utils_base import PreTrainedTokenizerBase
from .utils import PushToHubMixin, copy_func, direct_transformers_import, logging


lowercase     :							List[Any]	     =			logging.get_logger(__name__)

# Dynamically import the Transformers module to grab the attribute classes of the processor form their names.
lowercase     :							List[str]	     =			direct_transformers_import(Path(__file__).parent)


lowercase     :							str	     =			{
    '''AutoTokenizer''': '''PreTrainedTokenizerBase''',
    '''AutoFeatureExtractor''': '''FeatureExtractionMixin''',
    '''AutoImageProcessor''': '''ImageProcessingMixin''',
}




class 						UpperCAmelCase_  (		SCREAMING_SNAKE_CASE__    ):


						'''simple docstring'''




						A   :      int						 =    ["feature_extractor", "tokenizer"]
						# Names need to be attr_class for attr in attributes
						A   :      str						 =    None
						A   :      str						 =    None
						A   :      List[Any]						 =    None






						def __init__(		self						, *_SCREAMING_SNAKE_CASE						, **_SCREAMING_SNAKE_CASE )       -> Any:







								for key in kwargs:
										if key not in self.attributes:
												raise TypeError(f'''Unexpected keyword argument {key}.''' )
								for arg, attribute_name in zip(lowercase__						, self.attributes ):
										if attribute_name in kwargs:
												raise TypeError(f'''Got multiple values for argument {attribute_name}.''' )
										else:
												snake_case_ :							Dict         =				arg

								if len(lowercase__ ) != len(self.attributes ):
										raise ValueError(
										    f'''This processor requires {len(self.attributes )} arguments: {', '.join(self.attributes )}. Got '''
										    f'''{len(lowercase__ )} arguments instead.''' )

								# Check each arg is of the proper class (this will also catch a user initializing in the wrong order)
								for attribute_name, arg in kwargs.items():
										snake_case_ :							Tuple         =				getattr(self						, f'''{attribute_name}_class''' )
										# Nothing is ever going to be an instance of "AutoXxx", in that case we check the base class.
										snake_case_ :							int         =				AUTO_TO_BASE_CLASS_MAPPING.get(lowercase__						, lowercase__ )
										if isinstance(lowercase__						, lowercase__ ):
												snake_case_ :							int         =				tuple(getattr(lowercase__						, lowercase__ ) for n in class_name if n is not None )
										else:
												snake_case_ :							Tuple         =				getattr(lowercase__						, lowercase__ )

										if not isinstance(lowercase__						, lowercase__ ):
												raise ValueError(
												    f'''Received a {type(lowercase__ ).__name__} for argument {attribute_name}, but a {class_name} was expected.''' )

										setattr(self						, lowercase__						, lowercase__ )






						def __repr__(		self )       -> Optional[Any]:
								snake_case_ :							Optional[int]         =				[f'''- {name}: {repr(getattr(self						, lowercase__ ) )}''' for name in self.attributes]
								snake_case_ :							Tuple         =				"\n".join(lowercase__ )
								return f'''{self.__class__.__name__}:\n{attributes_repr}'''






						def 					_lowerCAmelCase				(		self						, _SCREAMING_SNAKE_CASE						, _SCREAMING_SNAKE_CASE = False						, **_SCREAMING_SNAKE_CASE )       -> Optional[Any]:
								os.makedirs(lowercase__						, exist_ok=lowercase__ )

								if push_to_hub:
										snake_case_ :							int         =				kwargs.pop("commit_message"						, lowercase__ )
										snake_case_ :							int         =				kwargs.pop("repo_id"						, save_directory.split(os.path.sep )[-1] )
										snake_case_ :							Tuple         =				self._create_repo(lowercase__						, **lowercase__ )
										snake_case_ :							Dict         =				self._get_files_timestamps(lowercase__ )
								# If we have a custom config, we copy the file defining it in the folder and set the attributes so it can be
								# loaded from the Hub.
								if self._auto_class is not None:
										snake_case_ :							Dict         =				[getattr(self						, lowercase__ ) for attribute_name in self.attributes]
										snake_case_ :							List[Any]         =				[(a.init_kwargs if isinstance(lowercase__						, lowercase__ ) else a) for a in attrs]
										custom_object_save(self						, lowercase__						, config=lowercase__ )

								for attribute_name in self.attributes:
										snake_case_ :							List[Any]         =				getattr(self						, lowercase__ )
										# Include the processor class in the attribute config so this processor can then be reloaded with the
										# `AutoProcessor` API.
										if hasattr(lowercase__						, "_set_processor_class" ):
												attribute._set_processor_class(self.__class__.__name__ )
										attribute.save_pretrained(lowercase__ )

								if self._auto_class is not None:
										# We added an attribute to the init_kwargs of the tokenizers, which needs to be cleaned up.
										for attribute_name in self.attributes:
												snake_case_ :							Union[str, Any]         =				getattr(self						, lowercase__ )
												if isinstance(lowercase__						, lowercase__ ):
														del attribute.init_kwargs["auto_map"]

								if push_to_hub:
										self._upload_modified_files(
										    lowercase__						, lowercase__						, lowercase__						, commit_message=lowercase__						, token=kwargs.get("use_auth_token" )						, )






						@classmethod
						def 					_lowerCAmelCase				(		cls						, _SCREAMING_SNAKE_CASE						, _SCREAMING_SNAKE_CASE = None						, _SCREAMING_SNAKE_CASE = False						, _SCREAMING_SNAKE_CASE = False						, _SCREAMING_SNAKE_CASE = None						, _SCREAMING_SNAKE_CASE = "main"						, **_SCREAMING_SNAKE_CASE						, )       -> Dict:
								snake_case_ :							Tuple         =				cache_dir
								snake_case_ :							Any         =				force_download
								snake_case_ :							Union[str, Any]         =				local_files_only
								snake_case_ :							Union[str, Any]         =				revision

								snake_case_ :							Tuple         =				kwargs.pop("use_auth_token"						, lowercase__ )
								if use_auth_token is not None:
										warnings.warn(
										    "The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers."						, lowercase__ )
										if token is not None:
												raise ValueError(
												    "`token` and `use_auth_token` are both specified. Please set only the argument `token`." )
										snake_case_ :							List[Any]         =				use_auth_token

								if token is not None:
										# change to `token` in a follow-up PR
										snake_case_ :							Union[str, Any]         =				token

								snake_case_ :							int         =				cls._get_arguments_from_pretrained(lowercase__						, **lowercase__ )
								return cls(*lowercase__ )






						@classmethod
						def 					_lowerCAmelCase				(		cls						, _SCREAMING_SNAKE_CASE="AutoProcessor" )       -> List[str]:







								if not isinstance(lowercase__						, lowercase__ ):
										snake_case_ :							str         =				auto_class.__name__

								import transformers.models.auto as auto_module

								if not hasattr(lowercase__						, lowercase__ ):
										raise ValueError(f'''{auto_class} is not a valid auto class.''' )

								snake_case_ :							Dict         =				auto_class






						@classmethod
						def 					_lowerCAmelCase				(		cls						, _SCREAMING_SNAKE_CASE						, **_SCREAMING_SNAKE_CASE )       -> Any:
								snake_case_ :							int         =				[]
								for attribute_name in cls.attributes:
										snake_case_ :							Dict         =				getattr(cls						, f'''{attribute_name}_class''' )
										if isinstance(lowercase__						, lowercase__ ):
												snake_case_ :							Optional[Any]         =				tuple(getattr(lowercase__						, lowercase__ ) if n is not None else None for n in class_name )
												snake_case_ :							Any         =				kwargs.get("use_fast"						, lowercase__ )
												if use_fast and classes[1] is not None:
														snake_case_ :							Tuple         =				classes[1]
												else:
														snake_case_ :							Tuple         =				classes[0]
										else:
												snake_case_ :							Any         =				getattr(lowercase__						, lowercase__ )

										args.append(attribute_class.from_pretrained(lowercase__						, **lowercase__ ) )
								return args






						@property
						def 					_lowerCAmelCase				(		self )       -> int:
								snake_case_ :							str         =				getattr(self						, self.attributes[0] )
								return getattr(lowercase__						, "model_input_names"						, lowercase__ )




lowercase     :							Optional[int]	     =			copy_func(ProcessorMixin.push_to_hub)
if ProcessorMixin.push_to_hub.__doc__ is not None:
							lowercase     :							str	     =			ProcessorMixin.push_to_hub.__doc__.format(
							    object='''processor''', object_class='''AutoProcessor''', object_files='''processor files'''
							)


"""simple docstring"""




from __future__ import annotations

def   UpperCamelCase_  (		SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			):
					SCREAMING_SNAKE_CASE	,    SCREAMING_SNAKE_CASE				=	m - 1, 0
					while i >= 0 and j < n:
										if key == mat[i][j]:
															print(f'''Key {key} found at row- {i + 1} column- {j + 1}'''			)
															return
										if key < mat[i][j]:
															i -= 1
										else:
															j += 1
					print(f'''Key {key} not found'''			)

def   UpperCamelCase_  (		):
					SCREAMING_SNAKE_CASE				=	[[2, 5, 7], [4, 8, 1_3], [9, 1_1, 1_5], [1_2, 1_7, 2_0]]
					SCREAMING_SNAKE_CASE				=	int(input('Enter the element to be searched:'			)			)
					print(SCREAMING_SNAKE_CASE_			)
					search_in_a_sorted_matrix(SCREAMING_SNAKE_CASE_,     len(SCREAMING_SNAKE_CASE_			),     len(mat[0]			),     SCREAMING_SNAKE_CASE_			)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()
