code: from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_sentencepiece_available,
      is_tf_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  lowerCAmelCase__	:  str 		={
      '''configuration_big_bird''': ['''BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''BigBirdConfig''', '''BigBirdOnnxConfig'''],
  }
  
  try:
  			if not is_sentencepiece_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			lowerCAmelCase__	:  int 		=['''BigBirdTokenizer''']
  
  try:
  			if not is_tokenizers_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			lowerCAmelCase__	:  str 		=['''BigBirdTokenizerFast''']
  
  try:
  			if not is_torch_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			lowerCAmelCase__	:  Optional[int] 		=[
  			    '''BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST''',
  			    '''BigBirdForCausalLM''',
  			    '''BigBirdForMaskedLM''',
  			    '''BigBirdForMultipleChoice''',
  			    '''BigBirdForPreTraining''',
  			    '''BigBirdForQuestionAnswering''',
  			    '''BigBirdForSequenceClassification''',
  			    '''BigBirdForTokenClassification''',
  			    '''BigBirdLayer''',
  			    '''BigBirdModel''',
  			    '''BigBirdPreTrainedModel''',
  			    '''load_tf_weights_in_big_bird''',
  			]
  
  try:
  			if not is_flax_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			lowerCAmelCase__	:  int 		=[
  			    '''FlaxBigBirdForCausalLM''',
  			    '''FlaxBigBirdForMaskedLM''',
  			    '''FlaxBigBirdForMultipleChoice''',
  			    '''FlaxBigBirdForPreTraining''',
  			    '''FlaxBigBirdForQuestionAnswering''',
  			    '''FlaxBigBirdForSequenceClassification''',
  			    '''FlaxBigBirdForTokenClassification''',
  			    '''FlaxBigBirdModel''',
  			    '''FlaxBigBirdPreTrainedModel''',
  			]
  
  if TYPE_CHECKING:
  			from .configuration_big_bird import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdConfig, BigBirdOnnxConfig
  
  			try:
  						if not is_sentencepiece_available():
  									raise OptionalDependencyNotAvailable()
  			except OptionalDependencyNotAvailable:
  						pass
  			else:
  						from .tokenization_big_bird import BigBirdTokenizer
  
  			try:
  						if not is_tokenizers_available():
  									raise OptionalDependencyNotAvailable()
  			except OptionalDependencyNotAvailable:
  						pass
  			else:
  						from .tokenization_big_bird_fast import BigBirdTokenizerFast
  
  			try:
  						if not is_torch_available():
  									raise OptionalDependencyNotAvailable()
  			except OptionalDependencyNotAvailable:
  						pass
  			else:
  						from .modeling_big_bird import (
  						    BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST,
  						    BigBirdForCausalLM,
  						    BigBirdForMaskedLM,
  						    BigBirdForMultipleChoice,
  						    BigBirdForPreTraining,
  						    BigBirdForQuestionAnswering,
  						    BigBirdForSequenceClassification,
  						    BigBirdForTokenClassification,
  						    BigBirdLayer,
  						    BigBirdModel,
  						    BigBirdPreTrainedModel,
  						    load_tf_weights_in_big_bird,
  						)
  
  			try:
  						if not is_flax_available():
  									raise OptionalDependencyNotAvailable()
  			except OptionalDependencyNotAvailable:
  						pass
  			else:
  						from .modeling_flax_big_bird import (
  						    FlaxBigBirdForCausalLM,
  						    FlaxBigBirdForMaskedLM,
  						    FlaxBigBirdForMultipleChoice,
  						    FlaxBigBirdForPreTraining,
  						    FlaxBigBirdForQuestionAnswering,
  						    FlaxBigBirdForSequenceClassification,
  						    FlaxBigBirdForTokenClassification,
  						    FlaxBigBirdModel,
  						    FlaxBigBirdPreTrainedModel,
  						)
  
  else:
  			import sys
  
  			lowerCAmelCase__	:  Optional[int] 		=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  
  
  
  
style_context: 
  
  
  
  def 			__lowercase     (				a__     )       ->				list:
  							__SCREAMING_SNAKE_CASE								=      1.3
  							__SCREAMING_SNAKE_CASE								=      len(a__     )
  							__SCREAMING_SNAKE_CASE								=      False
  
  							while not completed:
  														# Update the gap value for a next comb
  														__SCREAMING_SNAKE_CASE								=      int(gap / shrink_factor     )
  														if gap <= 1:
  																					__SCREAMING_SNAKE_CASE								=      True
  
  														__SCREAMING_SNAKE_CASE								=      0
  														while index + gap < len(a__     ):
  																					if data[index] > data[index + gap]:
  																												# Swap values
  																												__SCREAMING_SNAKE_CASE							, __SCREAMING_SNAKE_CASE								=      data[index + gap], data[index]
  																												__SCREAMING_SNAKE_CASE								=      False
  																					index += 1
  
  							return data
  
  
  if __name__ == "__main__":
  			import doctest
  
  			doctest.testmod()
  
  			lowerCAmelCase__	:  int 		=input('''Enter numbers separated by a comma:\n''').strip()
  			lowerCAmelCase__	:  Dict 		=[int(item) for item in user_input.split(''',''')]
  			print(comb_sort(unsorted))
  
  
  
  
  
  
  