code: 
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)    ->  int:
  						if right <= left:
  												return
  						_a     =			_a     =			left
  						_a     =			right
  						_a     =			sorting[left]
  						while i <= b:
  												if sorting[i] < pivot:
  																		_a ,	_a     =			sorting[i], sorting[a]
  																		a += 1
  																		i += 1
  												elif sorting[i] > pivot:
  																		_a ,	_a     =			sorting[i], sorting[b]
  																		b -= 1
  												else:
  																		i += 1
  						quick_sort_apartition(_UpperCAmelCase							,     _UpperCAmelCase							,     a - 1				)
  						quick_sort_apartition(_UpperCAmelCase							,     b + 1							,     _UpperCAmelCase				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)    ->  Tuple:
  						if left < right:
  												_a     =			lomuto_partition(_UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)
  												quick_sort_lomuto_partition(_UpperCAmelCase							,     _UpperCAmelCase							,     pivot_index - 1				)
  												quick_sort_lomuto_partition(_UpperCAmelCase							,     pivot_index + 1							,     _UpperCAmelCase				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)    ->  int:
  						_a     =			sorting[right]
  						_a     =			left
  						for i in range(_UpperCAmelCase							,     _UpperCAmelCase				):
  												if sorting[i] < pivot:
  																		_a ,	_a     =			sorting[i], sorting[store_index]
  																		store_index += 1
  						_a ,	_a     =			sorting[store_index], sorting[right]
  						return store_index
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  str:
  						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)
  
  		lowercase_								=    input('Enter numbers separated by a comma:\n').strip()
  		lowercase_								=    [int(item) for item in user_input.split(',')]
  		quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
  		print(unsorted)
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
  
  
  lowercase_								=    {
      'configuration_codegen': ['CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CodeGenConfig', 'CodeGenOnnxConfig'],
      'tokenization_codegen': ['CodeGenTokenizer'],
  }
  
  try:
  		if not is_tokenizers_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		lowercase_								=    ['CodeGenTokenizerFast']
  
  try:
  		if not is_torch_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		lowercase_								=    [
  		    'CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST',
  		    'CodeGenForCausalLM',
  		    'CodeGenModel',
  		    'CodeGenPreTrainedModel',
  		]
  
  if TYPE_CHECKING:
  		from .configuration_codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenOnnxConfig
  		from .tokenization_codegen import CodeGenTokenizer
  
  		try:
  				if not is_tokenizers_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .tokenization_codegen_fast import CodeGenTokenizerFast
  
  		try:
  				if not is_torch_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_codegen import (
  				    CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
  				    CodeGenForCausalLM,
  				    CodeGenModel,
  				    CodeGenPreTrainedModel,
  				)
  
  else:
  		import sys
  
  		lowercase_								=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
  
  
  