


from collections import OrderedDict
from typing import Mapping

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


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

a_ :List[str]  							=			{
    'google/bigbird-roberta-base': 'https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json',
    'google/bigbird-roberta-large': 'https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json',
    'google/bigbird-base-trivia-itc': 'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json',
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}

class 							lowercase  (						_UpperCAmelCase			):
     lowerCamelCase			:			Tuple      = '''big_bird'''







     def __init__(						self :						Any   ,   _lowercase :						str=5_03_58   ,   _lowercase :						Union[str, Any]=7_68   ,   _lowercase :						List[str]=12   ,   _lowercase :						str=12   ,   _lowercase :						Tuple=30_72   ,   _lowercase :						Optional[int]="gelu_new"   ,   _lowercase :						Optional[Any]=0.1   ,   _lowercase :						List[str]=0.1   ,   _lowercase :						Dict=40_96   ,   _lowercase :						int=2   ,   _lowercase :						Tuple=0.02   ,   _lowercase :						Optional[int]=1E-12   ,   _lowercase :						Dict=True   ,   _lowercase :						Union[str, Any]=0   ,   _lowercase :						Union[str, Any]=1   ,   _lowercase :						Optional[int]=2   ,   _lowercase :						List[Any]=66   ,   _lowercase :						Union[str, Any]="block_sparse"   ,   _lowercase :						List[str]=True   ,   _lowercase :						int=False   ,   _lowercase :						str=64   ,   _lowercase :						Union[str, Any]=3   ,   _lowercase :						Any=None   ,   **_lowercase :						List[Any]   ,   ):
           super().__init__(
               pad_token_id=__UpperCAmelCase   ,   bos_token_id=__UpperCAmelCase   ,   eos_token_id=__UpperCAmelCase   ,   sep_token_id=__UpperCAmelCase   ,   **__UpperCAmelCase   ,   )

           SCREAMING_SNAKE_CASE__       :  List[str]						     =		vocab_size
           SCREAMING_SNAKE_CASE__       :  Dict						     =		max_position_embeddings
           SCREAMING_SNAKE_CASE__       :  List[Any]						     =		hidden_size
           SCREAMING_SNAKE_CASE__       :  List[Any]						     =		num_hidden_layers
           SCREAMING_SNAKE_CASE__       :  List[Any]						     =		num_attention_heads
           SCREAMING_SNAKE_CASE__       :  List[Any]						     =		intermediate_size
           SCREAMING_SNAKE_CASE__       :  List[str]						     =		hidden_act
           SCREAMING_SNAKE_CASE__       :  Any						     =		hidden_dropout_prob
           SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		attention_probs_dropout_prob
           SCREAMING_SNAKE_CASE__       :  str						     =		initializer_range
           SCREAMING_SNAKE_CASE__       :  Tuple						     =		type_vocab_size
           SCREAMING_SNAKE_CASE__       :  Any						     =		layer_norm_eps
           SCREAMING_SNAKE_CASE__       :  Any						     =		use_cache

           SCREAMING_SNAKE_CASE__       :  Tuple						     =		rescale_embeddings
           SCREAMING_SNAKE_CASE__       :  Dict						     =		attention_type
           SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		use_bias
           SCREAMING_SNAKE_CASE__       :  str						     =		block_size
           SCREAMING_SNAKE_CASE__       :  Tuple						     =		num_random_blocks
           SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		classifier_dropout




class 							lowercase  (						_UpperCAmelCase			):







     @property
     def 							lowercase__       (						self :						Union[str, Any]      ):


           if self.task == "multiple-choice":
                 SCREAMING_SNAKE_CASE__       :  List[Any]						     =		{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
           else:
                 SCREAMING_SNAKE_CASE__       :  List[Any]						     =		{0: '''batch''', 1: '''sequence'''}
           return OrderedDict(
               [
                   ('''input_ids''', dynamic_axis),
                   ('''attention_mask''', dynamic_axis),
               ]      )














def 		_a       ( a					:list					)				->     list:

 if len(a					) < 2:
  return collection

 def circle_sort_util(a					:list      ,				a					:int      ,				a					:int					) -> bool:
  a						    = False

  if low == high:
   return swapped

  a						    = low
  a						    = high

  while left < right:
   if collection[left] > collection[right]:
    a    ,	a						    = (
        collection[right],
        collection[left],
    )
    a						    = True

   left += 1
   right -= 1

  if left == right and collection[left] > collection[right + 1]:
   a    ,	a						    = (
       collection[right + 1],
       collection[left],
   )

   a						    = True

  a						    = low + int((high - low) / 2					)
  a						    = circle_sort_util(a      ,				a      ,				a					)
  a						    = circle_sort_util(a      ,				mid + 1      ,				a					)

  return swapped or left_swap or right_swap

 a						    = True

 while is_not_sorted is True:
  a						    = circle_sort_util(a      ,				0      ,				len(a					) - 1					)

 return collection


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


