
'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from packaging import version

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


__snake_case:  List[str]								= logging.get_logger(__name__)

__snake_case:  List[str]								= {
    "hustvl/yolos-small": "https://huggingface.co/hustvl/yolos-small/resolve/main/config.json",
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}


class  _UpperCAmelCase ( _UpperCamelCase    ):

     """simple docstring"""

     a_    	=					"yolos"


     def __init__(      self							,		lowerCAmelCase_=7_68							,		lowerCAmelCase_=12							,		lowerCAmelCase_=12							,		lowerCAmelCase_=30_72							,		lowerCAmelCase_="gelu"							,		lowerCAmelCase_=0.0							,		lowerCAmelCase_=0.0							,		lowerCAmelCase_=0.02							,		lowerCAmelCase_=1E-1_2							,		lowerCAmelCase_=[5_12, 8_64]							,		lowerCAmelCase_=16							,		lowerCAmelCase_=3							,		lowerCAmelCase_=True							,		lowerCAmelCase_=1_00							,		lowerCAmelCase_=True							,		lowerCAmelCase_=False							,		lowerCAmelCase_=1							,		lowerCAmelCase_=5							,		lowerCAmelCase_=2							,		lowerCAmelCase_=5							,		lowerCAmelCase_=2							,		lowerCAmelCase_=0.1							,		**lowerCAmelCase_							,		):

       '''simple docstring'''

       super().__init__(**__a )

       a_      :	Dict      =							hidden_size
       a_      :	Any      =							num_hidden_layers
       a_      :	str      =							num_attention_heads
       a_      :	Dict      =							intermediate_size
       a_      :	List[str]      =							hidden_act
       a_      :	List[str]      =							hidden_dropout_prob
       a_      :	str      =							attention_probs_dropout_prob
       a_      :	Tuple      =							initializer_range
       a_      :	List[str]      =							layer_norm_eps
       a_      :	Tuple      =							image_size
       a_      :	Tuple      =							patch_size
       a_      :	Dict      =							num_channels
       a_      :	Any      =							qkv_bias
       a_      :	str      =							num_detection_tokens
       a_      :	str      =							use_mid_position_embeddings
       a_      :	List[str]      =							auxiliary_loss
       # Hungarian matcher
       a_      :	List[Any]      =							class_cost
       a_      :	int      =							bbox_cost
       a_      :	Optional[int]      =							giou_cost
       # Loss coefficients
       a_      :	List[Any]      =							bbox_loss_coefficient
       a_      :	str      =							giou_loss_coefficient
       a_      :	Dict      =							eos_coefficient







class  _UpperCAmelCase ( _UpperCamelCase    ):

     """simple docstring"""

     a_    	=					version.parse("1.11"    )


     @property
     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       return OrderedDict(
           [
               ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
           ] )


     @property
     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       return 1E-4






     @property
     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       return 12




'''simple docstring'''

def 	_snake_case						(      A_       :    list   ):
  """simple docstring"""







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

  a_      :	List[Any]      =							[]

  def generate(A_       :    int     ,		A_       :    list   ):
    a_      :	List[Any]      =							[0] * n
    res.append(tuple(A_   )   )

    a_      :	List[str]      =							0
    while i < n:
      if c[i] < i:
        if i % 2 == 0:
          a_      , a_      :	Union[str, Any]      =							arr[i], arr[0]
        else:
          a_      , a_      :	List[str]      =							arr[i], arr[c[i]]
        res.append(tuple(A_   )   )
        c[i] += 1
        a_      :	Optional[Any]      =							0
      else:
        a_      :	Union[str, Any]      =							0
        i += 1

  generate(len(A_   )     ,		A_   )
  return res


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


