

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


lowerCAmelCase__							=			logging.get_logger(__name__)

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


lowerCAmelCase__							=			{
    "AutoTokenizer": "PreTrainedTokenizerBase",
    "AutoFeatureExtractor": "FeatureExtractionMixin",
    "AutoImageProcessor": "ImageProcessingMixin",
}






class     __magic_name__     (							_snake_case     ):
 UpperCAmelCase				     =    ['''feature_extractor''', '''tokenizer''']
 # Names need to be attr_class for attr in attributes
 UpperCAmelCase				     =    None
 UpperCAmelCase				     =    None
 UpperCAmelCase				     =    None


 def __init__(    self		:			int      ,    *lowerCAmelCase__		:			List[Any]      ,    **lowerCAmelCase__		:			List[str]     )     ->   str:
   # 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(lowercase__      ,    self.attributes     ):
     if attribute_name in kwargs:
       raise TypeError(f"Got multiple values for argument {attribute_name}."     )
     else:
       UpperCAmelCase          =	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():
     UpperCAmelCase          =	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          =	AUTO_TO_BASE_CLASS_MAPPING.get(lowercase__      ,    lowercase__     )
     if isinstance(lowercase__      ,    lowercase__     ):
       UpperCAmelCase          =	tuple(getattr(lowercase__      ,    lowercase__     ) for n in class_name if n is not None     )
     else:
       UpperCAmelCase          =	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		:			Union[str, Any]     )     ->   List[str]:
   UpperCAmelCase          =	[f"- {name}: {repr(getattr(self      ,    lowercase__     )     )}" for name in self.attributes]
   UpperCAmelCase          =	"\n".join(lowercase__     )
   return f"{self.__class__.__name__}:\n{attributes_repr}"


 def _UpperCamelCase						(    self		:			str      ,    lowerCAmelCase__		:			Optional[int]      ,    lowerCAmelCase__		:			bool = False      ,    **lowerCAmelCase__		:			Optional[Any]     )     ->   Optional[int]:
   os.makedirs(lowercase__      ,    exist_ok=lowercase__     )

   if push_to_hub:
     UpperCAmelCase          =	kwargs.pop("commit_message"      ,    lowercase__     )
     UpperCAmelCase          =	kwargs.pop("repo_id"      ,    save_directory.split(os.path.sep     )[-1]     )
     UpperCAmelCase          =	self._create_repo(lowercase__      ,    **lowercase__     )
     UpperCAmelCase          =	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:
     UpperCAmelCase          =	[getattr(self      ,    lowercase__     ) for attribute_name in self.attributes]
     UpperCAmelCase          =	[(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:
     UpperCAmelCase          =	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:
       UpperCAmelCase          =	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 _UpperCamelCase						(    cls		:			Optional[Any]      ,    lowerCAmelCase__		:			Union[str, os.PathLike]      ,    lowerCAmelCase__		:			Optional[Union[str, os.PathLike]] = None      ,    lowerCAmelCase__		:			bool = False      ,    lowerCAmelCase__		:			bool = False      ,    lowerCAmelCase__		:			Optional[Union[str, bool]] = None      ,    lowerCAmelCase__		:			str = "main"      ,    **lowerCAmelCase__		:			Dict      ,    )     ->   Union[str, Any]:
   UpperCAmelCase          =	cache_dir
   UpperCAmelCase          =	force_download
   UpperCAmelCase          =	local_files_only
   UpperCAmelCase          =	revision

   UpperCAmelCase          =	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`."     )
     UpperCAmelCase          =	use_auth_token

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

   UpperCAmelCase          =	cls._get_arguments_from_pretrained(lowercase__      ,    **lowercase__     )
   return cls(*lowercase__     )


 @classmethod
 def _UpperCamelCase						(    cls		:			List[str]      ,    lowerCAmelCase__		:			Union[str, Any]="AutoProcessor"     )     ->   Dict:
   if not isinstance(lowercase__      ,    lowercase__     ):
     UpperCAmelCase          =	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."     )

   UpperCAmelCase          =	auto_class


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

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


 @property
 def _UpperCamelCase						(    self		:			List[Any]     )     ->   Optional[Any]:
   UpperCAmelCase          =	getattr(self      ,    self.attributes[0]     )
   return getattr(lowercase__      ,    "model_input_names"      ,    lowercase__     )

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








def 		__snake_case						(    _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase				):
					"""simple docstring"""






					if right <= left:
										return
					lowercase						   =       lowercase						   =       left
					lowercase						   =       right
					lowercase						   =       sorting[left]
					while i <= b:
										if sorting[i] < pivot:
															lowercase   ,      lowercase						   =       sorting[i], sorting[a]
															a += 1
															i += 1
										elif sorting[i] > pivot:
															lowercase   ,      lowercase						   =       sorting[i], sorting[b]
															b -= 1
										else:
															i += 1
					quick_sort_apartition(_UpperCAmelCase       ,			_UpperCAmelCase       ,			a - 1				)
					quick_sort_apartition(_UpperCAmelCase       ,			b + 1       ,			_UpperCAmelCase				)





def 		__snake_case						(    _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase				):
					"""simple docstring"""






					if left < right:
										lowercase						   =       lomuto_partition(_UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase				)
										quick_sort_lomuto_partition(_UpperCAmelCase       ,			_UpperCAmelCase       ,			pivot_index - 1				)
										quick_sort_lomuto_partition(_UpperCAmelCase       ,			pivot_index + 1       ,			_UpperCAmelCase				)





def 		__snake_case						(    _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase				):
					"""simple docstring"""






					lowercase						   =       sorting[right]
					lowercase						   =       left
					for i in range(_UpperCAmelCase       ,			_UpperCAmelCase				):
										if sorting[i] < pivot:
															lowercase   ,      lowercase						   =       sorting[i], sorting[store_index]
															store_index += 1
					lowercase   ,      lowercase						   =       sorting[store_index], sorting[right]
					return store_index





def 		__snake_case						(    _UpperCAmelCase				):
					"""simple docstring"""






					if len(_UpperCAmelCase				) <= 1:
										return sorting
					return (
					    three_way_radix_quicksort([i for i in sorting if i < sorting[0]]				)
					    + [i for i in sorting if i == sorting[0]]
					    + three_way_radix_quicksort([i for i in sorting if i > sorting[0]]				)
					)


if __name__ == "__main__":
		import doctest

		doctest.testmod(verbose=True)

		__magic_name__       =     input('''Enter numbers separated by a comma:\n''').strip()
		__magic_name__       =     [int(item) for item in user_input.split(''',''')]
		quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
		print(unsorted)






