
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


_UpperCamelCase:					Optional[int]     ={
    'configuration_ernie_m': ['ERNIE_M_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ErnieMConfig'],
}

try:
       if not is_sentencepiece_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _UpperCamelCase:					Dict     =['ErnieMTokenizer']

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _UpperCamelCase:					Optional[Any]     =[
           'ERNIE_M_PRETRAINED_MODEL_ARCHIVE_LIST',
           'ErnieMForMultipleChoice',
           'ErnieMForQuestionAnswering',
           'ErnieMForSequenceClassification',
           'ErnieMForTokenClassification',
           'ErnieMModel',
           'ErnieMPreTrainedModel',
           'ErnieMForInformationExtraction',
       ]


if TYPE_CHECKING:
       from .configuration_ernie_m import ERNIE_M_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieMConfig

       try:
              if not is_sentencepiece_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_ernie_m import ErnieMTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_ernie_m import (
                  ERNIE_M_PRETRAINED_MODEL_ARCHIVE_LIST,
                  ErnieMForInformationExtraction,
                  ErnieMForMultipleChoice,
                  ErnieMForQuestionAnswering,
                  ErnieMForSequenceClassification,
                  ErnieMForTokenClassification,
                  ErnieMModel,
                  ErnieMPreTrainedModel,
              )


else:
       import sys

       _UpperCamelCase:					Optional[int]     =_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


import random



def 	_a  (					__SCREAMING_SNAKE_CASE					:  str    ):






  """simple docstring"""




  def is_sorted(__SCREAMING_SNAKE_CASE					:  str    ):
    for i in range(len(__SCREAMING_SNAKE_CASE    ) - 1    ):
      if collection[i] > collection[i + 1]:
        return False
    return True

  while not is_sorted(__SCREAMING_SNAKE_CASE    ):
    random.shuffle(__SCREAMING_SNAKE_CASE    )
  return collection


if __name__ == "__main__":
       _UpperCamelCase:					Dict     =input('Enter numbers separated by a comma:\n').strip()
       _UpperCamelCase:					Optional[Any]     =[int(item) for item in user_input.split(',')]
       print(bogo_sort(unsorted))
