






'''simple docstring'''
def 						__SCREAMING_SNAKE_CASE    (     _UpperCamelCase  ,						_UpperCamelCase  ,						_UpperCamelCase							):


   """simple docstring"""




   if right <= left:
      return
   lowercase_		:			Tuple							=   left
   lowercase_		:			Union[str, Any]							=   right
   lowercase_		:			Tuple							=   sorting[left]
   while i <= b:
      if sorting[i] < pivot:
         lowercase_			,						lowercase_		:			Union[str, Any]							=   sorting[i], sorting[a]
         a += 1
         i += 1
      elif sorting[i] > pivot:
         lowercase_			,						lowercase_		:			List[Any]							=   sorting[i], sorting[b]
         b -= 1
      else:
         i += 1
   quick_sort_apartition(__lowerCAmelCase  ,						__lowerCAmelCase  ,						a - 1							)
   quick_sort_apartition(__lowerCAmelCase  ,						b + 1  ,						__lowerCAmelCase							)




def 						__SCREAMING_SNAKE_CASE    (     _UpperCamelCase  ,						_UpperCamelCase  ,						_UpperCamelCase							):


   """simple docstring"""




   if left < right:
      lowercase_		:			Dict							=   lomuto_partition(__lowerCAmelCase  ,						__lowerCAmelCase  ,						__lowerCAmelCase							)
      quick_sort_lomuto_partition(__lowerCAmelCase  ,						__lowerCAmelCase  ,						pivot_index - 1							)
      quick_sort_lomuto_partition(__lowerCAmelCase  ,						pivot_index + 1  ,						__lowerCAmelCase							)




def 						__SCREAMING_SNAKE_CASE    (     _UpperCamelCase  ,						_UpperCamelCase  ,						_UpperCamelCase							):


   """simple docstring"""




   lowercase_		:			str							=   sorting[right]
   lowercase_		:			List[Any]							=   left
   for i in range(__lowerCAmelCase  ,						__lowerCAmelCase							):
      if sorting[i] < pivot:
         lowercase_			,						lowercase_		:			List[str]							=   sorting[i], sorting[store_index]
         store_index += 1
   lowercase_			,						lowercase_		:			List[Any]							=   sorting[store_index], sorting[right]
   return store_index




def 						__SCREAMING_SNAKE_CASE    (     _UpperCamelCase							):


   """simple docstring"""




   if len(__lowerCAmelCase							) <= 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)

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





"""simple docstring"""


import copy

from transformers.configuration_utils import PretrainedConfig
from transformers.utils import logging


a							=logging.get_logger(__name__)






class    __UpperCAmelCase						(	__lowerCAmelCase	):
				A__      :   Any  							=       '''hybrid-clip'''
				A__      :   Optional[Any]  							=       True

				def __init__(      self	, _lowerCamelCase=512	, **_lowerCamelCase      ):
										super().__init__(**_lowerCamelCase      )

										if "text_config" not in kwargs:
																raise ValueError("`text_config` can not be `None`."      )

										if "vision_config" not in kwargs:
																raise ValueError("`vision_config` can not be `None`."      )

										lowerCamelCase__					=kwargs.pop("text_config"      )
										lowerCamelCase__					=kwargs.pop("vision_config"      )

										lowerCamelCase__					=text_config.pop("model_type"      )
										lowerCamelCase__					=vision_config.pop("model_type"      )

										from transformers import AutoConfig

										lowerCamelCase__					=AutoConfig.for_model(_lowerCamelCase	, **_lowerCamelCase      )

										if vision_model_type == "clip":
																lowerCamelCase__					=AutoConfig.for_model(_lowerCamelCase	, **_lowerCamelCase      ).vision_config
										elif vision_model_type == "clip_vision_model":
																from transformers import CLIPVisionConfig

																lowerCamelCase__					=CLIPVisionConfig(**_lowerCamelCase      )
										else:
																lowerCamelCase__					=AutoConfig.for_model(_lowerCamelCase	, **_lowerCamelCase      )

										lowerCamelCase__					=projection_dim
										lowerCamelCase__					=1.0

				@classmethod
				def 		_a	(      cls	, _lowerCamelCase	, _lowerCamelCase	, **_lowerCamelCase      ):
										return cls(text_config=text_config.to_dict()	, vision_config=vision_config.to_dict()	, **_lowerCamelCase      )






				def 		_a	(      self      ):
										lowerCamelCase__					=copy.deepcopy(self.__dict__      )
										lowerCamelCase__					=self.text_config.to_dict()
										lowerCamelCase__					=self.vision_config.to_dict()
										lowerCamelCase__					=self.__class__.model_type
										return output


