"""simple docstring"""






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         =				{
    "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 					UpperCAmelCase		(A_						):



    """simple docstring"""

    _UpperCAmelCase			:Optional[Any]							=				'''flaubert'''
    _UpperCAmelCase			:Tuple							=				{
        '''hidden_size''': '''emb_dim''',
        '''num_attention_heads''': '''n_heads''',
        '''num_hidden_layers''': '''n_layers''',
        '''n_words''': '''vocab_size''',  # For backward compatibility
    }






    def __init__(     self					,    _UpperCAmelCase=False					,    _UpperCAmelCase=0.0					,    _UpperCAmelCase=30145					,    _UpperCAmelCase=2048					,    _UpperCAmelCase=12					,    _UpperCAmelCase=16					,    _UpperCAmelCase=0.1					,    _UpperCAmelCase=0.1					,    _UpperCAmelCase=True					,    _UpperCAmelCase=False					,    _UpperCAmelCase=False					,    _UpperCAmelCase=False					,    _UpperCAmelCase=1					,    _UpperCAmelCase=True					,    _UpperCAmelCase=512					,    _UpperCAmelCase=2048**-0.5					,    _UpperCAmelCase=1e-1_2					,    _UpperCAmelCase=0.02					,    _UpperCAmelCase=0					,    _UpperCAmelCase=1					,    _UpperCAmelCase=2					,    _UpperCAmelCase=3					,    _UpperCAmelCase=5					,    _UpperCAmelCase=True					,    _UpperCAmelCase="first"					,    _UpperCAmelCase=True					,    _UpperCAmelCase=None					,    _UpperCAmelCase=True					,    _UpperCAmelCase=0.1					,    _UpperCAmelCase=5					,    _UpperCAmelCase=5					,    _UpperCAmelCase=0					,    _UpperCAmelCase=0					,    _UpperCAmelCase=2					,    _UpperCAmelCase=0					,    **_UpperCAmelCase					,    ):
       lowercase__:     Union[str, Any]      =   pre_norm
       lowercase__:     Tuple      =   layerdrop
       lowercase__:     int      =   vocab_size
       lowercase__:     Tuple      =   emb_dim
       lowercase__:     List[str]      =   n_layers
       lowercase__:     Tuple      =   n_heads
       lowercase__:     Tuple      =   dropout
       lowercase__:     Tuple      =   attention_dropout
       lowercase__:     List[Any]      =   gelu_activation
       lowercase__:     Dict      =   sinusoidal_embeddings
       lowercase__:     Optional[Any]      =   causal
       lowercase__:     Tuple      =   asm
       lowercase__:     str      =   n_langs
       lowercase__:     Tuple      =   use_lang_emb
       lowercase__:     Optional[int]      =   layer_norm_eps
       lowercase__:     List[Any]      =   bos_index
       lowercase__:     Optional[int]      =   eos_index
       lowercase__:     Tuple      =   pad_index
       lowercase__:     List[str]      =   unk_index
       lowercase__:     List[Any]      =   mask_index
       lowercase__:     List[str]      =   is_encoder
       lowercase__:     Union[str, Any]      =   max_position_embeddings
       lowercase__:     Union[str, Any]      =   embed_init_std
       lowercase__:     Any      =   init_std
       lowercase__:     str      =   summary_type
       lowercase__:     List[str]      =   summary_use_proj
       lowercase__:     Optional[int]      =   summary_activation
       lowercase__:     Union[str, Any]      =   summary_proj_to_labels
       lowercase__:     Any      =   summary_first_dropout
       lowercase__:     Dict      =   start_n_top
       lowercase__:     Any      =   end_n_top
       lowercase__:     List[str]      =   mask_token_id
       lowercase__:     Union[str, Any]      =   lang_id

       if "n_words" in kwargs:
          lowercase__:     Union[str, Any]      =   kwargs['''n_words''']

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



class 					UpperCAmelCase		(A_						):



    """simple docstring"""

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

"""simple docstring"""






class 					UpperCAmelCase		:



    """simple docstring"""

    def __init__(     self					,    _UpperCAmelCase=None							):
       lowercase__:     Optional[int]      =   data
       lowercase__:     Dict      =   None






    def __repr__(     self							):
       lowercase__:     int      =   ''''''
       lowercase__:     Any      =   self
       while temp:
          string_rep += F"""<{temp.data}> ---> """
          lowercase__:     Any      =   temp.next
       string_rep += "<END>"
       return string_rep



def SCREAMING_SNAKE_CASE__    (     __UpperCAmelCase				)						->						str:

   # if elements_list is empty
   if not elements_list:
      raise Exception('''The Elements List is empty'''				)

   # Set first element as Head
   lowercase__:     Union[str, Any]      =   Node(elements_list[0]				)
   lowercase__:     List[str]      =   head
   # Loop through elements from position 1
   for data in elements_list[1:]:
      lowercase__:     Tuple      =   Node(__UpperCAmelCase				)
      lowercase__:     Tuple      =   current.next
   return head


__A         =				[1, 3, 5, 3_2, 4_4, 1_2, 4_3]
print(f'''List: {list_data}''')
print("Creating Linked List from List.")
__A         =				make_linked_list(list_data)
print("Linked List:")




print(linked_list)
