

"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

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


_lowercase   :	Dict												=						logging.get_logger(__name__)

_lowercase   :	List[Any]												=						{
    'facebook/data2vec-text-base': 'https://huggingface.co/data2vec/resolve/main/config.json',
}
class      _UpperCAmelCase   (							_lowerCAmelCase       ):
	a__		: List[str]					=					"data2vec-text"



	def __init__(  self     :       Dict			,    _lowercase     :       Union[str, Any]=3_05_22			,    _lowercase     :       Tuple=7_68			,    _lowercase     :       Union[str, Any]=12			,    _lowercase     :       Dict=12			,    _lowercase     :       int=30_72			,    _lowercase     :       Any="gelu"			,    _lowercase     :       List[str]=0.1			,    _lowercase     :       Optional[int]=0.1			,    _lowercase     :       Dict=5_12			,    _lowercase     :       Optional[Any]=2			,    _lowercase     :       Optional[int]=0.02			,    _lowercase     :       str=1E-12			,    _lowercase     :       List[str]=1			,    _lowercase     :       List[str]=0			,    _lowercase     :       List[Any]=2			,    _lowercase     :       List[str]="absolute"			,    _lowercase     :       str=True			,    _lowercase     :       Optional[int]=None			,    **_lowercase     :       int			,    ):
		super().__init__(pad_token_id=_lowercase			,    bos_token_id=_lowercase			,    eos_token_id=_lowercase			,    **_lowercase						)

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






class      _UpperCAmelCase   (							_lowerCAmelCase       ):



	@property
	def        a  (  self     :       Dict						):
		if self.task == "multiple-choice":
			__UpperCAmelCase      		= {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
		else:
			__UpperCAmelCase      		= {0: '''batch''', 1: '''sequence'''}
		return OrderedDict(
		    [
		        ('''input_ids''', dynamic_axis),
		        ('''attention_mask''', dynamic_axis),
		    ]						)







"""simple docstring"""


def        lowercase__     (       lowercase_      )       ->		list:




      """simple docstring"""

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

      _UpperCamelCase   :						Optional[Any]    =							[]

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

            generate(k - 1		,lowercase_      )

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

      generate(len(lowercase_      )		,lowercase_      )
      return res


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