




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        _lowerCamelCase  (	__UpperCAmelCase      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[Any]			=    "flaubert"
      lowerCAmelCase__	:       List[Any]			=    {
          "hidden_size": "emb_dim",
          "num_attention_heads": "n_heads",
          "num_hidden_layers": "n_layers",
          "n_words": "vocab_size",  # For backward compatibility
      }







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

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

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







class        _lowerCamelCase  (	__UpperCAmelCase      ):

      """simple docstring"""

      @property
      def 					snake_case		(   self    :       str ):
          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 		lowerCAmelCase_	(  lowercase_   :							Any		):

 '''simple docstring'''






 __SCREAMING_SNAKE_CASE :			Optional[int]												=       len(lowercase_		)
 for i in range(length - 1		):
  __SCREAMING_SNAKE_CASE :			str												=       False
  for j in range(length - 1 - i		):
   if collection[j] > collection[j + 1]:
    __SCREAMING_SNAKE_CASE :			Any												=       True
    __SCREAMING_SNAKE_CASE							,      __SCREAMING_SNAKE_CASE :			List[str]												=       collection[j + 1], collection[j]
  if not swapped:
   break  # Stop iteration if the collection is sorted.
 return collection


if __name__ == "__main__":
    import doctest
    import time

    doctest.testmod()

    _lowerCamelCase       =	input('''Enter numbers separated by a comma:''').strip()
    _lowerCamelCase       =	[int(item) for item in user_input.split(''',''')]
    _lowerCamelCase       =	time.process_time()
    print(*bubble_sort(unsorted), sep=''',''')
    print(f'Processing time: {(time.process_time() - start)%1e9 + 7}')

