





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 	UpperCamelCase_							(  SCREAMING_SNAKE_CASE_     ):
							lowerCamelCase_							     =       "mctct"


							def __init__(				self     :str				,					__A     :Union[str, Any]=8065				,					__A     :Optional[Any]=1536				,					__A     :Union[str, Any]=36				,					__A     :Union[str, Any]=6144				,					__A     :Optional[int]=4				,					__A     :Optional[Any]=384				,					__A     :Optional[int]=920				,					__A     :Any=1E-5				,					__A     :Optional[Any]=0.3				,					__A     :List[Any]="relu"				,					__A     :Union[str, Any]=0.0_2				,					__A     :List[str]=0.3				,					__A     :Optional[int]=0.3				,					__A     :List[str]=1				,					__A     :List[Any]=0				,					__A     :Dict=2				,					__A     :Dict=1				,					__A     :Dict=0.3				,					__A     :List[str]=1				,					__A     :int=(7,)				,					__A     :Optional[Any]=(3,)				,					__A     :Optional[int]=80				,					__A     :Optional[int]=1				,					__A     :Optional[Any]=None				,					__A     :Dict="sum"				,					__A     :int=False				,					**__A     :Optional[Any]				,					) -> List[str]:



									"""simple docstring"""



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

									# prevents config testing fail with exporting to json
									SCREAMING_SNAKE_CASE__								=   list(snake_case__		)
									SCREAMING_SNAKE_CASE__								=   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}`.'''		)



'''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))

