





'''simple docstring'''


import copy
import random

from transformers import CLIPTokenizer






class       UpperCamelCase__  (		lowercase__     ):







	def __init__(				self			:   Optional[int] , *lowerCamelCase			:   Optional[Any] , **lowerCamelCase			:   str		):




				'''simple docstring'''
				super().__init__(*__lowercase , **__lowercase		)
				a__     = {}







	def 						__a   (				self			:   Union[str, Any] , lowerCamelCase			:   int , *lowerCamelCase			:   List[str] , **lowerCamelCase			:   Dict		):




				'''simple docstring'''
				a__     = super().add_tokens(__lowercase , *__lowercase , **__lowercase		)
				if num_added_tokens == 0:
							raise ValueError(
							    F'''The tokenizer already contains the token {placeholder_token}. Please pass a different'''
							    " `placeholder_token` that is not already in the tokenizer."		)







	def 						__a   (				self			:   Dict , lowerCamelCase			:   List[Any] , *lowerCamelCase			:   List[Any] , lowerCamelCase			:   str=1 , **lowerCamelCase			:   int		):




				'''simple docstring'''
				a__     = []
				if num_vec_per_token == 1:
							self.try_adding_tokens(__lowercase , *__lowercase , **__lowercase		)
							output.append(__lowercase		)
				else:
							a__     = []
							for i in range(__lowercase		):
										a__     = placeholder_token + F'''_{i}'''
										self.try_adding_tokens(__lowercase , *__lowercase , **__lowercase		)
										output.append(__lowercase		)
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
				for token in self.token_map:
							if token in placeholder_token:
										raise ValueError(
										    F'''The tokenizer already has placeholder token {token} that can get confused with'''
										    F''' {placeholder_token}keep placeholder tokens independent'''		)
				a__     = output







	def 						__a   (				self			:   Optional[int] , lowerCamelCase			:   Optional[Any] , lowerCamelCase			:   str=False , lowerCamelCase			:   Dict=1.0		):




				'''simple docstring'''
				if isinstance(__lowercase , __lowercase		):
							a__     = []
							for i in range(len(__lowercase		)		):
										output.append(self.replace_placeholder_tokens_in_text(text[i] , vector_shuffle=__lowercase		)		)
							return output
				for placeholder_token in self.token_map:
							if placeholder_token in text:
										a__     = self.token_map[placeholder_token]
										a__     = tokens[: 1 + int(len(__lowercase		) * prop_tokens_to_load		)]
										if vector_shuffle:
													a__     = copy.copy(__lowercase		)
													random.shuffle(__lowercase		)
										a__     = text.replace(__lowercase , " ".join(__lowercase		)		)
				return text







	def __call__(				self			:   Optional[int] , lowerCamelCase			:   Tuple , *lowerCamelCase			:   Dict , lowerCamelCase			:   Any=False , lowerCamelCase			:   Optional[int]=1.0 , **lowerCamelCase			:   Tuple		):




				'''simple docstring'''
				return super().__call__(
				    self.replace_placeholder_tokens_in_text(
				        __lowercase , vector_shuffle=__lowercase , prop_tokens_to_load=__lowercase		) , *__lowercase , **__lowercase , )







	def 						__a   (				self			:   Optional[Any] , lowerCamelCase			:   Any , *lowerCamelCase			:   Union[str, Any] , lowerCamelCase			:   int=False , lowerCamelCase			:   Optional[int]=1.0 , **lowerCamelCase			:   Any		):




				'''simple docstring'''
				return super().encode(
				    self.replace_placeholder_tokens_in_text(
				        __lowercase , vector_shuffle=__lowercase , prop_tokens_to_load=__lowercase		) , *__lowercase , **__lowercase , )










'''simple docstring'''


import math







def    _lowerCamelCase  (__lowerCamelCase  :     list					,  __lowerCamelCase  :     int = 0					,  __lowerCamelCase  :     int = 0     )   ->    list:
			a__     = end or len(__lowerCamelCase     )
			for i in range(__lowerCamelCase					,  __lowerCamelCase     ):
						a__     = i
						a__     = array[i]
						while temp_index != start and temp_index_value < array[temp_index - 1]:
									a__     = array[temp_index - 1]
									temp_index -= 1
						a__     = temp_index_value
			return array







def    _lowerCamelCase  (__lowerCamelCase  :     list					,  __lowerCamelCase  :     int					,  __lowerCamelCase  :     int     )   ->    None:  # Max Heap
			a__     = index
			a__     = 2 * index + 1  # Left Node
			a__     = 2 * index + 2  # Right Node

			if left_index < heap_size and array[largest] < array[left_index]:
						a__     = left_index

			if right_index < heap_size and array[largest] < array[right_index]:
						a__     = right_index

			if largest != index:
						a__   ,				a__     = array[largest], array[index]
						heapify(__lowerCamelCase					,  __lowerCamelCase					,  __lowerCamelCase     )







def    _lowerCamelCase  (__lowerCamelCase  :     list     )   ->    list:
			a__     = len(__lowerCamelCase     )

			for i in range(n // 2					,  -1					,  -1     ):
						heapify(__lowerCamelCase					,  __lowerCamelCase					,  __lowerCamelCase     )

			for i in range(n - 1					,  0					,  -1     ):
						a__   ,				a__     = array[0], array[i]
						heapify(__lowerCamelCase					,  0					,  __lowerCamelCase     )

			return array







def    _lowerCamelCase  (__lowerCamelCase  :     list					,  __lowerCamelCase  :     int					,  __lowerCamelCase  :     int					,  __lowerCamelCase  :     int     )   ->    int:
			if (array[first_index] > array[middle_index]) != (
			    array[first_index] > array[last_index]
			):
						return array[first_index]
			elif (array[middle_index] > array[first_index]) != (
			    array[middle_index] > array[last_index]
			):
						return array[middle_index]
			else:
						return array[last_index]







def    _lowerCamelCase  (__lowerCamelCase  :     list					,  __lowerCamelCase  :     int					,  __lowerCamelCase  :     int					,  __lowerCamelCase  :     int     )   ->    int:
			a__     = low
			a__     = high
			while True:
						while array[i] < pivot:
									i += 1
						j -= 1
						while pivot < array[j]:
									j -= 1
						if i >= j:
									return i
						a__   ,				a__     = array[j], array[i]
						i += 1







def    _lowerCamelCase  (__lowerCamelCase  :     list     )   ->    list:
			if len(__lowerCamelCase     ) == 0:
						return array
			a__     = 2 * math.ceil(math.loga(len(__lowerCamelCase     )     )     )
			a__     = 16
			return intro_sort(__lowerCamelCase					,  0					,  len(__lowerCamelCase     )					,  __lowerCamelCase					,  __lowerCamelCase     )







def    _lowerCamelCase  (__lowerCamelCase  :     list					,  __lowerCamelCase  :     int					,  __lowerCamelCase  :     int					,  __lowerCamelCase  :     int					,  __lowerCamelCase  :     int     )   ->    list:
			while end - start > size_threshold:
						if max_depth == 0:
									return heap_sort(__lowerCamelCase     )
						max_depth -= 1
						a__     = median_of_a(__lowerCamelCase					,  __lowerCamelCase					,  start + ((end - start) // 2) + 1					,  end - 1     )
						a__     = partition(__lowerCamelCase					,  __lowerCamelCase					,  __lowerCamelCase					,  __lowerCamelCase     )
						intro_sort(__lowerCamelCase					,  __lowerCamelCase					,  __lowerCamelCase					,  __lowerCamelCase					,  __lowerCamelCase     )
						a__     = p
			return insertion_sort(__lowerCamelCase					,  __lowerCamelCase					,  __lowerCamelCase     )


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		lowerCAmelCase_   :   Optional[int]       =					input("Enter numbers separated by a comma : ").strip()
		lowerCAmelCase_   :   List[str]       =					[float(item) for item in user_input.split(",")]
		print(sort(unsorted))



