


'''simple docstring'''







from typing import TYPE_CHECKING

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


lowerCAmelCase     :  int											=    {
    """configuration_roc_bert""": ["""ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RoCBertConfig"""],
    """tokenization_roc_bert""": ["""RoCBertTokenizer"""],
}

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       pass

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCAmelCase     :  Optional[Any]											=    [
           """ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """RoCBertForCausalLM""",
           """RoCBertForMaskedLM""",
           """RoCBertForMultipleChoice""",
           """RoCBertForPreTraining""",
           """RoCBertForQuestionAnswering""",
           """RoCBertForSequenceClassification""",
           """RoCBertForTokenClassification""",
           """RoCBertLayer""",
           """RoCBertModel""",
           """RoCBertPreTrainedModel""",
           """load_tf_weights_in_roc_bert""",
       ]

if TYPE_CHECKING:
       from .configuration_roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig
       from .tokenization_roc_bert import RoCBertTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              raise OptionalDependencyNotAvailable()

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_roc_bert import (
                  ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  RoCBertForCausalLM,
                  RoCBertForMaskedLM,
                  RoCBertForMultipleChoice,
                  RoCBertForPreTraining,
                  RoCBertForQuestionAnswering,
                  RoCBertForSequenceClassification,
                  RoCBertForTokenClassification,
                  RoCBertLayer,
                  RoCBertModel,
                  RoCBertPreTrainedModel,
                  load_tf_weights_in_roc_bert,
              )


else:
       import sys

       lowerCAmelCase     :  Tuple											=    _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





'''simple docstring'''







def       lowercase					(_A       ):







       """simple docstring"""







       _lowerCAmelCase     :				Union[str, Any]       =							len(_A       )
       for i in range(length - 1       ):
              _lowerCAmelCase     :				List[Any]       =							i
              for k in range(i + 1 ,    _A       ):
                     if collection[k] < collection[least]:
                            _lowerCAmelCase     :				List[str]       =							k
              if least != i:
                     _lowerCAmelCase      ,  _lowerCAmelCase     :				Union[str, Any]       =							(collection[i], collection[least])
       return collection


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

