




'''simple docstring'''



import math
def 			SCREAMING_SNAKE_CASE_			(							__A    :			list	,					__A    :			int = 0	,					__A    :			int = 0  )			->			list:
   _SCREAMING_SNAKE_CASE	=				end or len(__A  )
   for i in range(__A	,					__A  ):
      _SCREAMING_SNAKE_CASE	=				i
      _SCREAMING_SNAKE_CASE	=				array[i]
      while temp_index != start and temp_index_value < array[temp_index - 1]:
         _SCREAMING_SNAKE_CASE	=				array[temp_index - 1]
         temp_index -= 1
      _SCREAMING_SNAKE_CASE	=				temp_index_value
   return array
def 			SCREAMING_SNAKE_CASE_			(							__A    :			list	,					__A    :			int	,					__A    :			int  )			->			None:  # Max Heap
   _SCREAMING_SNAKE_CASE	=				index
   _SCREAMING_SNAKE_CASE	=				2 * index + 1  # Left Node
   _SCREAMING_SNAKE_CASE	=				2 * index + 2  # Right Node

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

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

   if largest != index:
      _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				array[largest], array[index]
      heapify(__A	,					__A	,					__A  )
def 			SCREAMING_SNAKE_CASE_			(							__A    :			list  )			->			list:
   _SCREAMING_SNAKE_CASE	=				len(__A  )

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

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

   return array
def 			SCREAMING_SNAKE_CASE_			(							__A    :			list	,					__A    :			int	,					__A    :			int	,					__A    :			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 			SCREAMING_SNAKE_CASE_			(							__A    :			list	,					__A    :			int	,					__A    :			int	,					__A    :			int  )			->			int:
   _SCREAMING_SNAKE_CASE	=				low
   _SCREAMING_SNAKE_CASE	=				high
   while True:
      while array[i] < pivot:
         i += 1
      j -= 1
      while pivot < array[j]:
         j -= 1
      if i >= j:
         return i
      _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				array[j], array[i]
      i += 1
def 			SCREAMING_SNAKE_CASE_			(							__A    :			list  )			->			list:
   if len(__A  ) == 0:
      return array
   _SCREAMING_SNAKE_CASE	=				2 * math.ceil(math.loga(len(__A  )  )  )
   _SCREAMING_SNAKE_CASE	=				16
   return intro_sort(__A	,					0	,					len(__A  )	,					__A	,					__A  )
def 			SCREAMING_SNAKE_CASE_			(							__A    :			list	,					__A    :			int	,					__A    :			int	,					__A    :			int	,					__A    :			int  )			->			list:
   while end - start > size_threshold:
      if max_depth == 0:
         return heap_sort(__A  )
      max_depth -= 1
      _SCREAMING_SNAKE_CASE	=				median_of_a(__A	,					__A	,					start + ((end - start) // 2) + 1	,					end - 1  )
      _SCREAMING_SNAKE_CASE	=				partition(__A	,					__A	,					__A	,					__A  )
      intro_sort(__A	,					__A	,					__A	,					__A	,					__A  )
      _SCREAMING_SNAKE_CASE	=				p
   return insertion_sort(__A	,					__A	,					__A  )


if __name__ == "__main__":
 import doctest

 doctest.testmod()

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






'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


lowerCamelCase_			=						{
    'configuration_layoutlmv2': ['LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LayoutLMv2Config'],
    'processing_layoutlmv2': ['LayoutLMv2Processor'],
    'tokenization_layoutlmv2': ['LayoutLMv2Tokenizer'],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase_			=						['LayoutLMv2TokenizerFast']

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase_			=						['LayoutLMv2FeatureExtractor']
 lowerCamelCase_			=						['LayoutLMv2ImageProcessor']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase_			=						[
     'LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST',
     'LayoutLMv2ForQuestionAnswering',
     'LayoutLMv2ForSequenceClassification',
     'LayoutLMv2ForTokenClassification',
     'LayoutLMv2Layer',
     'LayoutLMv2Model',
     'LayoutLMv2PreTrainedModel',
 ]

if TYPE_CHECKING:
 from .configuration_layoutlmva import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMvaConfig
 from .processing_layoutlmva import LayoutLMvaProcessor
 from .tokenization_layoutlmva import LayoutLMvaTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor, LayoutLMvaImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_layoutlmva import (
      LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
      LayoutLMvaForQuestionAnswering,
      LayoutLMvaForSequenceClassification,
      LayoutLMvaForTokenClassification,
      LayoutLMvaLayer,
      LayoutLMvaModel,
      LayoutLMvaPreTrainedModel,
  )
else:
 import sys

 lowerCamelCase_			=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

