"""simple docstring"""







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


SCREAMING_SNAKE_CASE									=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE									=						{
    'edbeeching/decision-transformer-gym-hopper-medium': (
        'https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/config.json'
    ),
    # See all DecisionTransformer models at https://huggingface.co/models?filter=decision_transformer
}



class  _lowerCamelCase			(__lowerCamelCase     ):
				_snake_case     =  "decision_transformer"
				_snake_case     =  ["past_key_values"]
				_snake_case     =  {
				    "max_position_embeddings": "n_positions",
				    "num_attention_heads": "n_head",
				    "num_hidden_layers": "n_layer",
				}







				def __init__( self    :       Optional[int]			,					lowerCamelCase_    :       Optional[Any]=1_7			,					lowerCamelCase_    :       List[Any]=4			,					lowerCamelCase_    :       int=1_2_8			,					lowerCamelCase_    :       Optional[int]=4_0_9_6			,					lowerCamelCase_    :       Dict=True			,					lowerCamelCase_    :       List[Any]=1			,					lowerCamelCase_    :       Tuple=1_0_2_4			,					lowerCamelCase_    :       Tuple=3			,					lowerCamelCase_    :       List[Any]=1			,					lowerCamelCase_    :       Optional[int]=None			,					lowerCamelCase_    :       Dict="relu"			,					lowerCamelCase_    :       Union[str, Any]=0.1			,					lowerCamelCase_    :       List[Any]=0.1			,					lowerCamelCase_    :       Optional[Any]=0.1			,					lowerCamelCase_    :       Any=1E-5			,					lowerCamelCase_    :       int=0.02			,					lowerCamelCase_    :       str=True			,					lowerCamelCase_    :       int=True			,					lowerCamelCase_    :       Union[str, Any]=5_0_2_5_6			,					lowerCamelCase_    :       Dict=5_0_2_5_6			,					lowerCamelCase_    :       int=False			,					lowerCamelCase_    :       Optional[Any]=False			,					**lowerCamelCase_    :       int			,					):

					"""simple docstring"""






					_lowercase :    Optional[int]							=							state_dim
					_lowercase :    Union[str, Any]							=							act_dim
					_lowercase :    List[Any]							=							hidden_size
					_lowercase :    Optional[int]							=							max_ep_len
					_lowercase :    Optional[int]							=							action_tanh
					_lowercase :    Optional[Any]							=							vocab_size
					_lowercase :    Optional[int]							=							n_positions
					_lowercase :    List[str]							=							n_layer
					_lowercase :    Optional[int]							=							n_head
					_lowercase :    Union[str, Any]							=							n_inner
					_lowercase :    str							=							activation_function
					_lowercase :    str							=							resid_pdrop
					_lowercase :    str							=							embd_pdrop
					_lowercase :    Any							=							attn_pdrop
					_lowercase :    Tuple							=							layer_norm_epsilon
					_lowercase :    str							=							initializer_range
					_lowercase :    List[Any]							=							scale_attn_weights
					_lowercase :    List[str]							=							use_cache
					_lowercase :    Any							=							scale_attn_by_inverse_layer_idx
					_lowercase :    int							=							reorder_and_upcast_attn

					_lowercase :    Optional[int]							=							bos_token_id
					_lowercase :    Optional[Any]							=							eos_token_id

					super().__init__(bos_token_id=lowerCamelCase_			,					eos_token_id=lowerCamelCase_			,					**lowerCamelCase_						)







"""simple docstring"""







def      __lowerCAmelCase(		__UpperCAmelCase			):






	"""simple docstring"""





	stooge(__UpperCAmelCase     ,0     ,len(__UpperCAmelCase			) - 1			)
	return arr


def      __lowerCAmelCase(		__UpperCAmelCase     ,__UpperCAmelCase     ,__UpperCAmelCase			):






	"""simple docstring"""





	if i >= h:
		return

	# If first element is smaller than the last then swap them
	if arr[i] > arr[h]:
		_lowercase				,      _lowercase :    List[str]							=							arr[h], arr[i]

	# If there are more than 2 elements in the array
	if h - i + 1 > 2:
		_lowercase :    Optional[int]							=							(int)((h - i + 1) / 3			)

		# Recursively sort first 2/3 elements
		stooge(__UpperCAmelCase     ,__UpperCAmelCase     ,(h - t)			)

		# Recursively sort last 2/3 elements
		stooge(__UpperCAmelCase     ,i + t     ,(__UpperCAmelCase)			)

		# Recursively sort first 2/3 elements
		stooge(__UpperCAmelCase     ,__UpperCAmelCase     ,(h - t)			)


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



