from ....configuration_utils import PretrainedConfig
from ....utils import logging


lowerCAmelCase__     						=			logging.get_logger(__name__)

lowerCAmelCase__     						=			{
    """speechbrain/m-ctc-t-large""": """https://huggingface.co/speechbrain/m-ctc-t-large/resolve/main/config.json""",
    # See all M-CTC-T models at https://huggingface.co/models?filter=mctct
}
class     a_			(						SCREAMING_SNAKE_CASE_						):






 '''simple docstring'''






 UpperCAmelCase_     			= 'mctct'




 def __init__(      self :  Any      ,   lowercase__ :  List[Any]=8_065      ,   lowercase__ :  Optional[int]=1_536      ,   lowercase__ :  Tuple=36      ,   lowercase__ :  int=6_144      ,   lowercase__ :  List[Any]=4      ,   lowercase__ :  List[str]=384      ,   lowercase__ :  List[Any]=920      ,   lowercase__ :  Union[str, Any]=1e-5      ,   lowercase__ :  Optional[Any]=0.3      ,   lowercase__ :  Optional[int]="relu"      ,   lowercase__ :  Optional[int]=0.02      ,   lowercase__ :  Any=0.3      ,   lowercase__ :  Any=0.3      ,   lowercase__ :  Optional[int]=1      ,   lowercase__ :  Tuple=0      ,   lowercase__ :  Union[str, Any]=2      ,   lowercase__ :  List[Any]=1      ,   lowercase__ :  str=0.3      ,   lowercase__ :  Tuple=1      ,   lowercase__ :  str=(7,)      ,   lowercase__ :  str=(3,)      ,   lowercase__ :  Tuple=80      ,   lowercase__ :  Dict=1      ,   lowercase__ :  List[Any]=None      ,   lowercase__ :  List[Any]="sum"      ,   lowercase__ :  str=False      ,   **lowercase__ :  Optional[Any]      ,   ):







        '''simple docstring'''



        super().__init__(**snake_case__      ,   pad_token_id=snake_case__      ,   bos_token_id=snake_case__      ,   eos_token_id=snake_case__)
        lowerCAmelCase__					     = vocab_size
        lowerCAmelCase__					     = hidden_size
        lowerCAmelCase__					     = num_hidden_layers
        lowerCAmelCase__					     = intermediate_size
        lowerCAmelCase__					     = num_attention_heads
        lowerCAmelCase__					     = attention_head_dim
        lowerCAmelCase__					     = max_position_embeddings
        lowerCAmelCase__					     = layer_norm_eps
        lowerCAmelCase__					     = layerdrop
        lowerCAmelCase__					     = hidden_act
        lowerCAmelCase__					     = initializer_range
        lowerCAmelCase__					     = hidden_dropout_prob
        lowerCAmelCase__					     = attention_probs_dropout_prob
        lowerCAmelCase__					     = pad_token_id
        lowerCAmelCase__					     = bos_token_id
        lowerCAmelCase__					     = eos_token_id
        lowerCAmelCase__					     = conv_glu_dim
        lowerCAmelCase__					     = conv_dropout
        lowerCAmelCase__					     = num_conv_layers
        lowerCAmelCase__					     = input_feat_per_channel
        lowerCAmelCase__					     = input_channels
        lowerCAmelCase__					     = conv_channels
        lowerCAmelCase__					     = ctc_loss_reduction
        lowerCAmelCase__					     = ctc_zero_infinity

        # prevents config testing fail with exporting to json
        lowerCAmelCase__					     = list(snake_case__)
        lowerCAmelCase__					     = list(snake_case__)

        if len(self.conv_kernel) != self.num_conv_layers:
               raise ValueError(
                   'Configuration for convolutional module is incorrect. '
                   'It is required that `len(config.conv_kernel)` == `config.num_conv_layers` '
                   F"""but is `len(config.conv_kernel) = {len(self.conv_kernel)}`, """
                   F"""`config.num_conv_layers = {self.num_conv_layers}`.""")

def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       lowerCAmelCase__					     = len(lowerCAmelCase__     )
       for i in range(lowerCAmelCase__     ):
              for j in range(i + 1     ,  lowerCAmelCase__     ):
                     if numbers[j] < numbers[i]:
                            lowerCAmelCase__     , lowerCAmelCase__					     = numbers[j], numbers[i]
       return numbers


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