




def 		_lowerCamelCase				(					UpperCamelCase							)			->		Any:





  """simple docstring"""





  _lowercase: Optional[int]						     =    len(UpperCamelCase							)
  for i in range(length - 1							):
    _lowercase: Dict						     =    False
    for j in range(length - 1 - i							):
      if collection[j] > collection[j + 1]:
        _lowercase: Optional[Any]						     =    True
        _lowercase: Any						     =    collection[j + 1], collection[j]
    if not swapped:
      break  # Stop iteration if the collection is sorted.
  return collection


if __name__ == "__main__":
   import doctest
   import time

   doctest.testmod()

   UpperCAmelCase__						:       int							=    input('Enter numbers separated by a comma:').strip()
   UpperCAmelCase__						:       Optional[int]							=    [int(item) for item in user_input.split(',')]
   UpperCAmelCase__						:       Optional[Any]							=    time.process_time()
   print(*bubble_sort(unsorted), sep=',')
   print(f'''Processing time: {(time.process_time() - start)%1E9 + 7}''')






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


UpperCAmelCase__						:       Union[str, Any]							=    {'configuration_bert_generation': ['BertGenerationConfig']}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase__						:       str							=    ['BertGenerationTokenizer']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase__						:       Tuple							=    [
       'BertGenerationDecoder',
       'BertGenerationEncoder',
       'BertGenerationPreTrainedModel',
       'load_tf_weights_in_bert_generation',
   ]


if TYPE_CHECKING:
   from .configuration_bert_generation import BertGenerationConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_bert_generation import BertGenerationTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_bert_generation import (
          BertGenerationDecoder,
          BertGenerationEncoder,
          BertGenerationPreTrainedModel,
          load_tf_weights_in_bert_generation,
      )

else:
   import sys

   UpperCAmelCase__						:       List[Any]							=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
