
from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__a  			=					logging.get_logger(__name__)

__a  			=					{
    'andreasmadsen/efficient_mlm_m0.40': (
        'https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json'
    ),
}
class  lowercase__(				UpperCAmelCase							):



	"""simple docstring"""




	a			:Optional[int]         =	'roberta-prelayernorm'
	def __init__(       self  :			List[str]       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=5_0_2_6_5       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=7_6_8       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]=1_2       ,							SCREAMING_SNAKE_CASE_  :			Dict=1_2       ,							SCREAMING_SNAKE_CASE_  :			str=3_0_7_2       ,							SCREAMING_SNAKE_CASE_  :			int="gelu"       ,							SCREAMING_SNAKE_CASE_  :			List[str]=0.1       ,							SCREAMING_SNAKE_CASE_  :			Optional[Any]=0.1       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]=5_1_2       ,							SCREAMING_SNAKE_CASE_  :			Tuple=2       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]=0.02       ,							SCREAMING_SNAKE_CASE_  :			int=1e-12       ,							SCREAMING_SNAKE_CASE_  :			List[str]=1       ,							SCREAMING_SNAKE_CASE_  :			Any=0       ,							SCREAMING_SNAKE_CASE_  :			Tuple=2       ,							SCREAMING_SNAKE_CASE_  :			Any="absolute"       ,							SCREAMING_SNAKE_CASE_  :			Dict=True       ,							SCREAMING_SNAKE_CASE_  :			Optional[Any]=None       ,							**SCREAMING_SNAKE_CASE_  :			int       ,							)       ->     Tuple:
					super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_       ,							bos_token_id=SCREAMING_SNAKE_CASE_       ,							eos_token_id=SCREAMING_SNAKE_CASE_       ,							**SCREAMING_SNAKE_CASE_       )

					lowercase_       =					vocab_size
					lowercase_       =					hidden_size
					lowercase_       =					num_hidden_layers
					lowercase_       =					num_attention_heads
					lowercase_       =					hidden_act
					lowercase_       =					intermediate_size
					lowercase_       =					hidden_dropout_prob
					lowercase_       =					attention_probs_dropout_prob
					lowercase_       =					max_position_embeddings
					lowercase_       =					type_vocab_size
					lowercase_       =					initializer_range
					lowercase_       =					layer_norm_eps
					lowercase_       =					position_embedding_type
					lowercase_       =					use_cache
					lowercase_       =					classifier_dropout

class  lowercase__(				UpperCAmelCase							):



	"""simple docstring"""




	@property
	def 						_lowercase  (       self  :			Optional[Any]       )       ->     Mapping[str, Mapping[int, str]]:
					if self.task == "multiple-choice":
									lowercase_       =					{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
					else:
									lowercase_       =					{0: '''batch''', 1: '''sequence'''}
					return OrderedDict(
					    [
					        ('''input_ids''', dynamic_axis),
					        ('''attention_mask''', dynamic_axis),
					    ]       )






def 				a						(							snake_case__:					list					):


				'''simple docstring'''

				if len(snake_case__					) <= 1:
								return [tuple(snake_case__					)]

				lowercase_       =					[]

				def generate(snake_case__:					int						,   snake_case__:					list					):
								if k == 1:
												res.append(tuple(arr[:]					)					)
												return

								generate(k - 1						,   snake_case__					)

								for i in range(k - 1					):
												if k % 2 == 0:  # k is even
																lowercase_  ,	lowercase_       =					arr[k - 1], arr[i]
												else:  # k is odd
																lowercase_  ,	lowercase_       =					arr[k - 1], arr[0]
												generate(k - 1						,   snake_case__					)

				generate(len(snake_case__					)						,   snake_case__					)
				return res


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




