




'''simple docstring'''


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


_snake_case : Optional[Any]  				=						logging.get_logger(__name__)

_snake_case : str  				=						{
    'tanreinama/GPTSAN-2.8B-spout_is_uniform': (
        'https://huggingface.co/tanreinama/GPTSAN-2.8B-spout_is_uniform/resolve/main/config.json'
    ),
}

class      A       (						_a       ):
							lowercase_							     =							'gptsan-japanese'
							lowercase_							     =							[
							    'past_key_values',
							]
							lowercase_							     =							{
							    'hidden_size': 'd_model',
							    'num_attention_heads': 'num_heads',
							    'num_hidden_layers': 'num_layers',
							}







							def __init__(    self			:    Union[str, Any]				,     lowerCAmelCase_			:    Dict=3_60_00				,     lowerCAmelCase_			:    Union[str, Any]=12_80				,     lowerCAmelCase_			:    Optional[int]=10_24				,     lowerCAmelCase_			:    Union[str, Any]=81_92				,     lowerCAmelCase_			:    int=40_96				,     lowerCAmelCase_			:    Dict=1_28				,     lowerCAmelCase_			:    Optional[int]=10				,     lowerCAmelCase_			:    Union[str, Any]=0				,     lowerCAmelCase_			:    Optional[Any]=16				,     lowerCAmelCase_			:    Optional[int]=16				,     lowerCAmelCase_			:    str=1_28				,     lowerCAmelCase_			:    Optional[int]=0.0				,     lowerCAmelCase_			:    int=1e-5				,     lowerCAmelCase_			:    Union[str, Any]=False				,     lowerCAmelCase_			:    List[str]=0.0				,     lowerCAmelCase_			:    Union[str, Any]="float32"				,     lowerCAmelCase_			:    Optional[Any]=False				,     lowerCAmelCase_			:    Any=False				,     lowerCAmelCase_			:    List[Any]=False				,     lowerCAmelCase_			:    List[str]=0.0_0_2				,     lowerCAmelCase_			:    Dict=False				,     lowerCAmelCase_			:    List[Any]=True				,     lowerCAmelCase_			:    List[Any]=3_59_98				,     lowerCAmelCase_			:    Tuple=3_59_95				,     lowerCAmelCase_			:    Optional[Any]=3_59_99				,     **lowerCAmelCase_			:    Any				,     )     ->				List[str]:


														"""simple docstring"""


														_a      	=							vocab_size
														_a      	=							max_position_embeddings
														_a      	=							d_model
														_a      	=							d_ff
														_a      	=							d_ext
														_a      	=							d_spout
														_a      	=							num_switch_layers
														_a      	=							num_ext_layers
														_a      	=							num_switch_layers + num_ext_layers
														_a      	=							num_heads
														_a      	=							num_experts
														_a      	=							expert_capacity
														_a      	=							dropout_rate
														_a      	=							layer_norm_epsilon
														_a      	=							router_bias
														_a      	=							router_jitter_noise
														_a      	=							router_dtype
														_a      	=							router_ignore_padding_tokens
														_a      	=							output_hidden_states
														_a      	=							output_attentions
														_a      	=							initializer_factor
														_a      	=							output_router_logits
														_a      	=							use_cache

														super().__init__(
														    separator_token_id=lowerCAmelCase_				,     pad_token_id=lowerCAmelCase_				,     eos_token_id=lowerCAmelCase_				,     **lowerCAmelCase_				,     )






"""simple docstring"""







def     UpperCAmelCase_					(				__a   :			list						):




			'''simple docstring'''



			if len(__a						) <= 1:
						return lst

			_lowerCamelCase					:					str	       =    1

			while i < len(__a						):
						if lst[i - 1] <= lst[i]:
									i += 1
						else:
									_lowerCamelCase       ,							_lowerCamelCase					:					Optional[Any]	       =    lst[i], lst[i - 1]
									i -= 1
									if i == 0:
												_lowerCamelCase					:					Dict	       =    1

			return lst


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





