






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


__UpperCAmelCase										=		logging.get_logger(__name__)

# Dynamically import the Transformers module to grab the attribute classes of the processor form their names.
__UpperCAmelCase										=		direct_transformers_import(Path(__file__).parent)


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



class 						lowerCamelCase   (_snake_case    ):







		'''simple docstring'''



		_snake_case					:					Union[str, Any] 		=						['''feature_extractor''', '''tokenizer''']
		# Names need to be attr_class for attr in attributes
		_snake_case					:					Tuple 		=						None
		_snake_case					:					int 		=						None
		_snake_case					:					int 		=						None



		def __init__(							self       ,	*_UpperCamelCase       ,	**_UpperCamelCase     )			->							List[Any]:
							# Sanitize args and kwargs
							for key in kwargs:
												if key not in self.attributes:
																	raise TypeError(f"Unexpected keyword argument {key}."     )
							for arg, attribute_name in zip(_UpperCamelCase       ,	self.attributes     ):
												if attribute_name in kwargs:
																	raise TypeError(f"Got multiple values for argument {attribute_name}."     )
												else:
																	UpperCAmelCase_					:   List[str]   =		arg

							if len(_UpperCamelCase     ) != len(self.attributes     ):
												raise ValueError(
												    f"This processor requires {len(self.attributes     )} arguments: {', '.join(self.attributes     )}. Got "
												    f"{len(_UpperCamelCase     )} 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():
												UpperCAmelCase_					:   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.
												UpperCAmelCase_					:   int   =		AUTO_TO_BASE_CLASS_MAPPING.get(_UpperCamelCase       ,	_UpperCamelCase     )
												if isinstance(_UpperCamelCase       ,	_UpperCamelCase     ):
																	UpperCAmelCase_					:   Tuple   =		tuple(getattr(_UpperCamelCase       ,	_UpperCamelCase     ) for n in class_name if n is not None     )
												else:
																	UpperCAmelCase_					:   List[Any]   =		getattr(_UpperCamelCase       ,	_UpperCamelCase     )

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

												setattr(self       ,	_UpperCamelCase       ,	_UpperCamelCase     )



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



		def       __UpperCAmelCase    (							self       ,	_UpperCamelCase       ,	_UpperCamelCase = False       ,	**_UpperCamelCase     )			->							Optional[int]:
							os.makedirs(_UpperCamelCase       ,	exist_ok=_UpperCamelCase     )

							if push_to_hub:
												UpperCAmelCase_					:   Union[str, Any]   =		kwargs.pop('commit_message'       ,	_UpperCamelCase     )
												UpperCAmelCase_					:   int   =		kwargs.pop('repo_id'       ,	save_directory.split(os.path.sep     )[-1]     )
												UpperCAmelCase_					:   Optional[Any]   =		self._create_repo(_UpperCamelCase       ,	**_UpperCamelCase     )
												UpperCAmelCase_					:   Union[str, Any]   =		self._get_files_timestamps(_UpperCamelCase     )
							# 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:
												UpperCAmelCase_					:   Any   =		[getattr(self       ,	_UpperCamelCase     ) for attribute_name in self.attributes]
												UpperCAmelCase_					:   List[str]   =		[(a.init_kwargs if isinstance(_UpperCamelCase       ,	_UpperCamelCase     ) else a) for a in attrs]
												custom_object_save(self       ,	_UpperCamelCase       ,	config=_UpperCamelCase     )

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

							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:
																	UpperCAmelCase_					:   List[str]   =		getattr(self       ,	_UpperCamelCase     )
																	if isinstance(_UpperCamelCase       ,	_UpperCamelCase     ):
																						del attribute.init_kwargs["auto_map"]

							if push_to_hub:
												self._upload_modified_files(
												    _UpperCamelCase       ,	_UpperCamelCase       ,	_UpperCamelCase       ,	commit_message=_UpperCamelCase       ,	token=kwargs.get('use_auth_token'     )       ,	)



		@classmethod
		def       __UpperCAmelCase    (							cls       ,	_UpperCamelCase       ,	_UpperCamelCase = None       ,	_UpperCamelCase = False       ,	_UpperCamelCase = False       ,	_UpperCamelCase = None       ,	_UpperCamelCase = "main"       ,	**_UpperCamelCase       ,	)			->							Optional[int]:
							UpperCAmelCase_					:   str   =		cache_dir
							UpperCAmelCase_					:   Tuple   =		force_download
							UpperCAmelCase_					:   Tuple   =		local_files_only
							UpperCAmelCase_					:   str   =		revision

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

							if token is not None:
												# change to `token` in a follow-up PR
												UpperCAmelCase_					:   Tuple   =		token

							UpperCAmelCase_					:   int   =		cls._get_arguments_from_pretrained(_UpperCamelCase       ,	**_UpperCamelCase     )
							return cls(*_UpperCamelCase     )



		@classmethod
		def       __UpperCAmelCase    (							cls       ,	_UpperCamelCase="AutoProcessor"     )			->							List[Any]:
							if not isinstance(_UpperCamelCase       ,	_UpperCamelCase     ):
												UpperCAmelCase_					:   Optional[Any]   =		auto_class.__name__

							import transformers.models.auto as auto_module

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

							UpperCAmelCase_					:   Union[str, Any]   =		auto_class



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

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



		@property
		def       __UpperCAmelCase    (							self     )			->							Union[str, Any]:
							UpperCAmelCase_					:   Union[str, Any]   =		getattr(self       ,	self.attributes[0]     )
							return getattr(_UpperCamelCase       ,	'model_input_names'       ,	_UpperCamelCase     )





__UpperCAmelCase										=		copy_func(ProcessorMixin.push_to_hub)
if ProcessorMixin.push_to_hub.__doc__ is not None:
		__UpperCAmelCase										=		ProcessorMixin.push_to_hub.__doc__.format(
		    object='processor', object_class='AutoProcessor', object_files='processor files'
		)














from __future__ import annotations




def   lowercase__   (  __snake_case					:							Any  , __snake_case					:							int						):


					'''simple docstring'''


					UpperCAmelCase_					:   Optional[int]   =		0
					UpperCAmelCase_					:   Optional[int]   =		len(__snake_case						) - 1
					while left <= right:
										UpperCAmelCase_					:   Optional[Any]   =		(left + right) // 2
										if left == right:
															if sorted_list[middle] < item:
																				UpperCAmelCase_					:   List[Any]   =		middle + 1
															break
										elif sorted_list[middle] < item:
															UpperCAmelCase_					:   Union[str, Any]   =		middle + 1
										else:
															UpperCAmelCase_					:   Tuple   =		middle - 1
					sorted_list.insert(__snake_case  , __snake_case						)
					return sorted_list




def   lowercase__   (  __snake_case					:							Union[str, Any]  , __snake_case					:							int						):


					'''simple docstring'''


					UpperCAmelCase_					:   str   =		[]
					while left and right:
										if left[0][0] < right[0][0]:
															result.append(left.pop(0						)						)
										else:
															result.append(right.pop(0						)						)
					return result + left + right




def   lowercase__   (  __snake_case					:							Dict						):


					'''simple docstring'''


					UpperCAmelCase_					:   str   =		len(__snake_case						)
					if length <= 1:
										return list_ad
					UpperCAmelCase_					:   List[Any]   =		length // 2
					return merge(sortlist_ad(list_ad[:middle]						)  , sortlist_ad(list_ad[middle:]						)						)




def   lowercase__   (  __snake_case					:							list[int]						):


					'''simple docstring'''


					if len(__snake_case						) <= 1:
										return collection
					UpperCAmelCase_					:   Any   =		[]
					UpperCAmelCase_					:   Union[str, Any]   =		False
					for i in range(0  , len(__snake_case						)  , 2						):
										if i == len(__snake_case						) - 1:
															UpperCAmelCase_					:   Tuple   =		True
										else:
															if collection[i] < collection[i + 1]:
																				two_paired_list.append([collection[i], collection[i + 1]]						)
															else:
																				two_paired_list.append([collection[i + 1], collection[i]]						)
					UpperCAmelCase_					:   Union[str, Any]   =		sortlist_ad(__snake_case						)
					UpperCAmelCase_					:   Any   =		[i[0] for i in sorted_list_ad]
					result.append(sorted_list_ad[-1][1]						)
					if has_last_odd_item:
										UpperCAmelCase_					:   Union[str, Any]   =		collection[-1]
										UpperCAmelCase_					:   List[Any]   =		binary_search_insertion(__snake_case  , __snake_case						)
					UpperCAmelCase_					:   Tuple   =		False
					for i in range(len(__snake_case						) - 1						):
										if result[i] == collection[-1] and has_last_odd_item:
															UpperCAmelCase_					:   List[Any]   =		True
										UpperCAmelCase_					:   Optional[int]   =		sorted_list_ad[i][1]
										# If last_odd_item is inserted before the item's index,
										# you should forward index one more.
										if is_last_odd_item_inserted_before_this_index:
															UpperCAmelCase_					:   List[str]   =		result[: i + 2] + binary_search_insertion(result[i + 2 :]  , __snake_case						)
										else:
															UpperCAmelCase_					:   List[Any]   =		result[: i + 1] + binary_search_insertion(result[i + 1 :]  , __snake_case						)

					return result


if __name__ == "__main__":
		__UpperCAmelCase										=		input('Enter numbers separated by a comma:\n').strip()
		__UpperCAmelCase										=		[int(item) for item in user_input.split(',')]
		print(merge_insertion_sort(unsorted))






