






from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase__            =	logging.get_logger(__name__)

UpperCAmelCase__            =	{
    "flaubert/flaubert_small_cased": "https://huggingface.co/flaubert/flaubert_small_cased/resolve/main/config.json",
    "flaubert/flaubert_base_uncased": "https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/config.json",
    "flaubert/flaubert_base_cased": "https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/config.json",
    "flaubert/flaubert_large_cased": "https://huggingface.co/flaubert/flaubert_large_cased/resolve/main/config.json",
}






class 	lowercase_      (			lowercase     ):






      '''simple docstring'''




      __snake_case  						=						'''flaubert'''
      __snake_case  						=						{
          '''hidden_size''': '''emb_dim''',
          '''num_attention_heads''': '''n_heads''',
          '''num_hidden_layers''': '''n_layers''',
          '''n_words''': '''vocab_size''',  # For backward compatibility
      }







      def __init__(   self   :		str				,      __UpperCAmelCase   :		int=False				,      __UpperCAmelCase   :		int=0.0				,      __UpperCAmelCase   :		str=30_145				,      __UpperCAmelCase   :		Union[str, Any]=2_048				,      __UpperCAmelCase   :		List[Any]=12				,      __UpperCAmelCase   :		Any=16				,      __UpperCAmelCase   :		List[str]=0.1				,      __UpperCAmelCase   :		Union[str, Any]=0.1				,      __UpperCAmelCase   :		Dict=True				,      __UpperCAmelCase   :		Optional[int]=False				,      __UpperCAmelCase   :		int=False				,      __UpperCAmelCase   :		List[Any]=False				,      __UpperCAmelCase   :		List[Any]=1				,      __UpperCAmelCase   :		List[Any]=True				,      __UpperCAmelCase   :		Optional[Any]=512				,      __UpperCAmelCase   :		Tuple=2_048**-0.5				,      __UpperCAmelCase   :		str=1e-1_2				,      __UpperCAmelCase   :		Union[str, Any]=0.02				,      __UpperCAmelCase   :		Optional[int]=0				,      __UpperCAmelCase   :		Dict=1				,      __UpperCAmelCase   :		int=2				,      __UpperCAmelCase   :		Dict=3				,      __UpperCAmelCase   :		Tuple=5				,      __UpperCAmelCase   :		Tuple=True				,      __UpperCAmelCase   :		Tuple="first"				,      __UpperCAmelCase   :		Any=True				,      __UpperCAmelCase   :		Tuple=None				,      __UpperCAmelCase   :		List[Any]=True				,      __UpperCAmelCase   :		int=0.1				,      __UpperCAmelCase   :		List[Any]=5				,      __UpperCAmelCase   :		Any=5				,      __UpperCAmelCase   :		Optional[Any]=0				,      __UpperCAmelCase   :		int=0				,      __UpperCAmelCase   :		Dict=2				,      __UpperCAmelCase   :		Dict=0				,      **__UpperCAmelCase   :		List[Any]				,      )					->int:




       """simple docstring"""


       a							=   pre_norm
       a							=   layerdrop
       a							=   vocab_size
       a							=   emb_dim
       a							=   n_layers
       a							=   n_heads
       a							=   dropout
       a							=   attention_dropout
       a							=   gelu_activation
       a							=   sinusoidal_embeddings
       a							=   causal
       a							=   asm
       a							=   n_langs
       a							=   use_lang_emb
       a							=   layer_norm_eps
       a							=   bos_index
       a							=   eos_index
       a							=   pad_index
       a							=   unk_index
       a							=   mask_index
       a							=   is_encoder
       a							=   max_position_embeddings
       a							=   embed_init_std
       a							=   init_std
       a							=   summary_type
       a							=   summary_use_proj
       a							=   summary_activation
       a							=   summary_proj_to_labels
       a							=   summary_first_dropout
       a							=   start_n_top
       a							=   end_n_top
       a							=   mask_token_id
       a							=   lang_id

       if "n_words" in kwargs:
        a							=   kwargs['''n_words''']

       super().__init__(pad_token_id=__UpperCAmelCase				,      bos_token_id=__UpperCAmelCase				,      **__UpperCAmelCase						)






class 	lowercase_      (			lowercase     ):






      '''simple docstring'''




      @property
      def    __lowerCAmelCase      (   self   :		Union[str, Any]						)					->Mapping[str, Mapping[int, str]]:




       """simple docstring"""


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










def 		_a					(   a				:list				)							->    list:
 for i, _ in enumerate(a				):
  if (i % 2 == 1) == (nums[i - 1] > nums[i]):
   a						,  a							=   nums[i], nums[i - 1]

 return nums


if __name__ == "__main__":
     print("Enter the array elements:")
     UpperCAmelCase__            =	list(map(int, input().split()))
     print("The unsorted array is:")
     print(array)
     print("Array after Wiggle sort:")
     print(wiggle_sort(array))


