




'''simple docstring'''





import math





def      __a     (       _UpperCamelCase:   list ,						_UpperCamelCase:   int = 0 ,						_UpperCamelCase:   int = 0   )						->			list:

     """simple docstring"""




     _snake_case							=				end or len(_UpperCamelCase   )
     for i in range(_UpperCamelCase ,						_UpperCamelCase   ):
          _snake_case							=				i
          _snake_case							=				array[i]
          while temp_index != start and temp_index_value < array[temp_index - 1]:
               _snake_case							=				array[temp_index - 1]
               temp_index -= 1
          _snake_case							=				temp_index_value
     return array





def      __a     (       _UpperCamelCase:   list ,						_UpperCamelCase:   int ,						_UpperCamelCase:   int   )						->			None:  # Max Heap

     """simple docstring"""




     _snake_case							=				index
     _snake_case							=				2 * index + 1  # Left Node
     _snake_case							=				2 * index + 2  # Right Node

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

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

     if largest != index:
          _snake_case							, _snake_case							=				array[largest], array[index]
          heapify(_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase   )





def      __a     (       _UpperCamelCase:   list   )						->			list:

     """simple docstring"""




     _snake_case							=				len(_UpperCamelCase   )

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

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

     return array





def      __a     (       _UpperCamelCase:   list ,						_UpperCamelCase:   int ,						_UpperCamelCase:   int ,						_UpperCamelCase:   int   )						->			int:

     """simple docstring"""




     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      __a     (       _UpperCamelCase:   list ,						_UpperCamelCase:   int ,						_UpperCamelCase:   int ,						_UpperCamelCase:   int   )						->			int:

     """simple docstring"""




     _snake_case							=				low
     _snake_case							=				high
     while True:
          while array[i] < pivot:
               i += 1
          j -= 1
          while pivot < array[j]:
               j -= 1
          if i >= j:
               return i
          _snake_case							, _snake_case							=				array[j], array[i]
          i += 1





def      __a     (       _UpperCamelCase:   list   )						->			list:

     """simple docstring"""




     if len(_UpperCamelCase   ) == 0:
          return array
     _snake_case							=				2 * math.ceil(math.loga(len(_UpperCamelCase   )   )   )
     _snake_case							=				16
     return intro_sort(_UpperCamelCase ,						0 ,						len(_UpperCamelCase   ) ,						_UpperCamelCase ,						_UpperCamelCase   )





def      __a     (       _UpperCamelCase:   list ,						_UpperCamelCase:   int ,						_UpperCamelCase:   int ,						_UpperCamelCase:   int ,						_UpperCamelCase:   int   )						->			list:

     """simple docstring"""




     while end - start > size_threshold:
          if max_depth == 0:
               return heap_sort(_UpperCamelCase   )
          max_depth -= 1
          _snake_case							=				median_of_a(_UpperCamelCase ,						_UpperCamelCase ,						start + ((end - start) // 2) + 1 ,						end - 1   )
          _snake_case							=				partition(_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase   )
          intro_sort(_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase   )
          _snake_case							=				p
     return insertion_sort(_UpperCamelCase ,						_UpperCamelCase ,						_UpperCamelCase   )


if __name__ == "__main__":
   import doctest

   doctest.testmod()

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








'''simple docstring'''





from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType

class        _a    (						__lowerCAmelCase							):
     SCREAMING_SNAKE_CASE_							:   Any       =						["""image_processor""", """tokenizer"""]
     SCREAMING_SNAKE_CASE_							:   List[Any]       =						"""BridgeTowerImageProcessor"""
     SCREAMING_SNAKE_CASE_							:   List[Any]       =						("""RobertaTokenizer""", """RobertaTokenizerFast""")






     def __init__(			self ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE   )							->      Tuple:
          super().__init__(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE   )






     def __call__(			self ,_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE = None ,_SCREAMING_SNAKE_CASE = True ,_SCREAMING_SNAKE_CASE = False ,_SCREAMING_SNAKE_CASE = None ,_SCREAMING_SNAKE_CASE = None ,_SCREAMING_SNAKE_CASE = 0 ,_SCREAMING_SNAKE_CASE = None ,_SCREAMING_SNAKE_CASE = None ,_SCREAMING_SNAKE_CASE = None ,_SCREAMING_SNAKE_CASE = False ,_SCREAMING_SNAKE_CASE = False ,_SCREAMING_SNAKE_CASE = False ,_SCREAMING_SNAKE_CASE = False ,_SCREAMING_SNAKE_CASE = True ,_SCREAMING_SNAKE_CASE = None ,**_SCREAMING_SNAKE_CASE ,)							->      BatchEncoding:
          _snake_case							=				self.tokenizer(
              text=_SCREAMING_SNAKE_CASE ,add_special_tokens=_SCREAMING_SNAKE_CASE ,padding=_SCREAMING_SNAKE_CASE ,truncation=_SCREAMING_SNAKE_CASE ,max_length=_SCREAMING_SNAKE_CASE ,stride=_SCREAMING_SNAKE_CASE ,pad_to_multiple_of=_SCREAMING_SNAKE_CASE ,return_token_type_ids=_SCREAMING_SNAKE_CASE ,return_attention_mask=_SCREAMING_SNAKE_CASE ,return_overflowing_tokens=_SCREAMING_SNAKE_CASE ,return_special_tokens_mask=_SCREAMING_SNAKE_CASE ,return_offsets_mapping=_SCREAMING_SNAKE_CASE ,return_length=_SCREAMING_SNAKE_CASE ,verbose=_SCREAMING_SNAKE_CASE ,return_tensors=_SCREAMING_SNAKE_CASE ,**_SCREAMING_SNAKE_CASE ,)
          # add pixel_values + pixel_mask
          _snake_case							=				self.image_processor(
              _SCREAMING_SNAKE_CASE ,return_tensors=_SCREAMING_SNAKE_CASE ,do_normalize=_SCREAMING_SNAKE_CASE ,do_center_crop=_SCREAMING_SNAKE_CASE ,**_SCREAMING_SNAKE_CASE   )
          encoding.update(_SCREAMING_SNAKE_CASE   )

          return encoding






     def     _lowercase     (			self ,*_SCREAMING_SNAKE_CASE ,**_SCREAMING_SNAKE_CASE   )							->      List[str]:
          return self.tokenizer.batch_decode(*_SCREAMING_SNAKE_CASE ,**_SCREAMING_SNAKE_CASE   )






     def     _lowercase     (			self ,*_SCREAMING_SNAKE_CASE ,**_SCREAMING_SNAKE_CASE   )							->      List[str]:
          return self.tokenizer.decode(*_SCREAMING_SNAKE_CASE ,**_SCREAMING_SNAKE_CASE   )






     @property
     def     _lowercase     (			self   )							->      Any:
          _snake_case							=				self.tokenizer.model_input_names
          _snake_case							=				self.image_processor.model_input_names
          return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names   )   )


